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Sample records for machine building automatic

  1. A SEMI-AUTOMATIC RULE SET BUILDING METHOD FOR URBAN LAND COVER CLASSIFICATION BASED ON MACHINE LEARNING AND HUMAN KNOWLEDGE

    Directory of Open Access Journals (Sweden)

    H. Y. Gu

    2017-09-01

    Full Text Available Classification rule set is important for Land Cover classification, which refers to features and decision rules. The selection of features and decision are based on an iterative trial-and-error approach that is often utilized in GEOBIA, however, it is time-consuming and has a poor versatility. This study has put forward a rule set building method for Land cover classification based on human knowledge and machine learning. The use of machine learning is to build rule sets effectively which will overcome the iterative trial-and-error approach. The use of human knowledge is to solve the shortcomings of existing machine learning method on insufficient usage of prior knowledge, and improve the versatility of rule sets. A two-step workflow has been introduced, firstly, an initial rule is built based on Random Forest and CART decision tree. Secondly, the initial rule is analyzed and validated based on human knowledge, where we use statistical confidence interval to determine its threshold. The test site is located in Potsdam City. We utilised the TOP, DSM and ground truth data. The results show that the method could determine rule set for Land Cover classification semi-automatically, and there are static features for different land cover classes.

  2. Automatically-Programed Machine Tools

    Science.gov (United States)

    Purves, L.; Clerman, N.

    1985-01-01

    Software produces cutter location files for numerically-controlled machine tools. APT, acronym for Automatically Programed Tools, is among most widely used software systems for computerized machine tools. APT developed for explicit purpose of providing effective software system for programing NC machine tools. APT system includes specification of APT programing language and language processor, which executes APT statements and generates NC machine-tool motions specified by APT statements.

  3. Automatically-Programed Machine Tools

    Science.gov (United States)

    Purves, L.; Clerman, N.

    1985-01-01

    Software produces cutter location files for numerically-controlled machine tools. APT, acronym for Automatically Programed Tools, is among most widely used software systems for computerized machine tools. APT developed for explicit purpose of providing effective software system for programing NC machine tools. APT system includes specification of APT programing language and language processor, which executes APT statements and generates NC machine-tool motions specified by APT statements.

  4. On automatic machine translation evaluation

    Directory of Open Access Journals (Sweden)

    Darinka Verdonik

    2013-05-01

    Full Text Available An important task of developing machine translation (MT is evaluating system performance. Automatic measures are most commonly used for this task, as manual evaluation is time-consuming and costly. However, to perform an objective evaluation is not a trivial task. Automatic measures, such as BLEU, TER, NIST, METEOR etc., have their own weaknesses, while manual evaluations are also problematic since they are always to some extent subjective. In this paper we test the influence of a test set on the results of automatic MT evaluation for the subtitling domain. Translating subtitles is a rather specific task for MT, since subtitles are a sort of summarization of spoken text rather than a direct translation of (written text. Additional problem when translating language pair that does not include English, in our example Slovene-Serbian, is that commonly the translations are done from English to Serbian and from English to Slovenian, and not directly, since most of the TV production is originally filmed in English. All this poses additional challenges to MT and consequently to MT evaluation. Automatic evaluation is based on a reference translation, which is usually taken from an existing parallel corpus and marked as a test set. In our experiments, we compare the evaluation results for the same MT system output using three types of test set. In the first round, the test set are 4000 subtitles from the parallel corpus of subtitles SUMAT. These subtitles are not direct translations from Serbian to Slovene or vice versa, but are based on an English original. In the second round, the test set are 1000 subtitles randomly extracted from the first test set and translated anew, from Serbian to Slovenian, based solely on the Serbian written subtitles. In the third round, the test set are the same 1000 subtitles, however this time the Slovene translations were obtained by manually correcting the Slovene MT outputs so that they are correct translations of the

  5. CREDITWORTHINESS OF MACHINE BUILDING ENTERPRISES

    OpenAIRE

    Freimanis, Tālis; Svarinskis, Leonārs

    2009-01-01

    The previous research showed that the Latvian machine building enterprises experienced regular liquidity problems at the end of each year. Therefore to ensure their development the constant access to bank credits is a necessity. For that reason the analysis and evaluation of machine building enterprises creditworthiness was performed.

  6. SOLVENCY OF MACHINE BUILDING ENTERPRISES

    OpenAIRE

    Freimanis, Tālis; Svarinskis, Leonārs

    2009-01-01

    Machine building as a competative exporting industry plays an important role in the Latvian national open market economy. The further development of machine building is possible under the conditions of the stable solvency. Therefore, it is crucial to perform the solvency analysis of the industry enterprises and give its evaluation.

  7. Automatic Evaluation of Machine Translation

    DEFF Research Database (Denmark)

    Martinez, Mercedes Garcia; Koglin, Arlene; Mesa-Lao, Bartolomé

    2015-01-01

    The availability of systems capable of producing fairly accurate translations has increased the popularity of machine translation (MT). The translation industry is steadily incorporating MT in their workflows engaging the human translator to post-edit the raw MT output in order to comply with a set...

  8. Support vector machine for automatic pain recognition

    Science.gov (United States)

    Monwar, Md Maruf; Rezaei, Siamak

    2009-02-01

    Facial expressions are a key index of emotion and the interpretation of such expressions of emotion is critical to everyday social functioning. In this paper, we present an efficient video analysis technique for recognition of a specific expression, pain, from human faces. We employ an automatic face detector which detects face from the stored video frame using skin color modeling technique. For pain recognition, location and shape features of the detected faces are computed. These features are then used as inputs to a support vector machine (SVM) for classification. We compare the results with neural network based and eigenimage based automatic pain recognition systems. The experiment results indicate that using support vector machine as classifier can certainly improve the performance of automatic pain recognition system.

  9. Automatic Evaluation of Machine Translation

    DEFF Research Database (Denmark)

    Martinez, Mercedes Garcia; Koglin, Arlene; Mesa-Lao, Bartolomé

    2015-01-01

    The availability of systems capable of producing fairly accurate translations has increased the popularity of machine translation (MT). The translation industry is steadily incorporating MT in their workflows engaging the human translator to post-edit the raw MT output in order to comply with a set...... of post-editing effort, namely i) temporal (time), ii) cognitive (mental processes) and iii) technical (keyboard activity). For the purposes of this research, TER scores were correlated with two different indicators of post-editing effort as computed in the CRITT Translation Process Database (TPR......-DB) *. On the one hand, post-editing temporal effort was measured using FDur values (duration of segment production time excluding keystroke pauses >_ 200 seconds) and KDur values (duration of coherent keyboard activity excluding keystroke pauses >_ 5 seconds). On the other hand, post-editing technical effort...

  10. Build your own time machine

    CERN Document Server

    Clegg, Brian

    2012-01-01

    There is no physical law to prevent time travel nothing in physics to say it is impossible. So who is to say it can't be done? In Build Your Own Time Machine, acclaimed science writer Brian Clegg takes inspiration from his childhood heroes, Doctor Who and H. G. Wells, to explain the nature of time. How do we understand it and why measure it the way we do? How did the theories of one man change the way time was perceived by the world? Why wouldn't H. G. Wells's time machine have worked? And what would we need to do to make a real one? Build Your Own Time Machine explores the amazing possib

  11. Fully automatic CNC machining production system

    Directory of Open Access Journals (Sweden)

    Lee Jeng-Dao

    2017-01-01

    Full Text Available Customized manufacturing is increasing years by years. The consumption habits change has been cause the shorter of product life cycle. Therefore, many countries view industry 4.0 as a target to achieve more efficient and more flexible automated production. To develop an automatic loading and unloading CNC machining system via vision inspection is the first step in industrial upgrading. CNC controller is adopted as the main controller to command to the robot, conveyor, and other equipment in this study. Moreover, machine vision systems are used to detect position of material on the conveyor and the edge of the machining material. In addition, Open CNC and SCADA software will be utilized to make real-time monitor, remote system of control, alarm email notification, and parameters collection. Furthermore, RFID has been added to employee classification and management. The machine handshaking has been successfully proposed to achieve automatic vision detect, edge tracing measurement, machining and system parameters collection for data analysis to accomplish industrial automation system integration with real-time monitor.

  12. Automatic feed system for ultrasonic machining

    Science.gov (United States)

    Calkins, Noel C.

    1994-01-01

    Method and apparatus for ultrasonic machining in which feeding of a tool assembly holding a machining tool toward a workpiece is accomplished automatically. In ultrasonic machining, a tool located just above a workpiece and vibrating in a vertical direction imparts vertical movement to particles of abrasive material which then remove material from the workpiece. The tool does not contact the workpiece. Apparatus for moving the tool assembly vertically is provided such that it operates with a relatively small amount of friction. Adjustable counterbalance means is provided which allows the tool to be immobilized in its vertical travel. A downward force, termed overbalance force, is applied to the tool assembly. The overbalance force causes the tool to move toward the workpiece as material is removed from the workpiece.

  13. A Machine Vision System for Automatically Grading Hardwood Lumber - (Proceedings)

    Science.gov (United States)

    Richard W. Conners; Tai-Hoon Cho; Chong T. Ng; Thomas H. Drayer; Joe G. Tront; Philip A. Araman; Robert L. Brisbon

    1990-01-01

    Any automatic system for grading hardwood lumber can conceptually be divided into two components. One of these is a machine vision system for locating and identifying grading defects. The other is an automatic grading program that accepts as input the output of the machine vision system and, based on these data, determines the grade of a board. The progress that has...

  14. [Development of an automatic ultrasonic cleaning machine for surgical instruments].

    Science.gov (United States)

    Geng, Shu-qing; He, Wei; Tao, Ren-hai; Ma, Bao-Qiu; Lu, Hai-long; Li, Li-hua; Feng, Hui-zhi; Zheng, Jin-zhi

    2005-11-01

    The automatic cleaning machine we have developed, adopts a SCM system in automatic cleaning. The machine has five functions: ultrasonic cleaning, cold or hot water spraying, drying and greasing. The clinical applications show that the machine with a good effectiveness is suitable for the cleaning of many surgical instruments. It also raises working efficiency, cuts down on the cost of repair and maintenance and reduces the injury and infection to nurses caused by manual cleaning, satisfying the needs of clinical applications.

  15. Automatic Teller Machine for disable users and its security issues

    OpenAIRE

    Ali, Liaqat; Jahankhani, Hamid; Jahankhani, Hossein

    2007-01-01

    Automatic Teller Machine is highly beneficial in banking industry. The banking industry forcefully promotes the use of ATM cards. In spite of the success and extensive use of Automatic Teller Machine, a large percentage of bank clients can not use them and it has been noted that no importance has been given to the feature of the accessibility at all. The significant number of disable users in bank industry had experience many difficulties in their interaction with these ATM’s. Speech technolo...

  16. New functional units for coke machine automatic control system

    Energy Technology Data Exchange (ETDEWEB)

    Parfenov, G.I.; Bannikov, L.S.; Vakarenko, I.M.; Grishin, S.P.

    1983-01-01

    A new device used in the control systems of coking plants is discussed. The system is capable of operating in fully automatic, semi-automatic, or manual modes. Examples of the usage of the unit include the stopping of coke machines within limits of +/- 200 mm. It is concluded that the use of the units reduce manufacture, adjustment, and service costs.

  17. An obstacle to building a time machine

    Science.gov (United States)

    Carroll, Sean M.; Farhi, Edward; Guth, Alan H.

    1992-01-01

    Gott (1991) has shown that a spacetime with two infinite parallel cosmic strings passing each other with sufficient velocity contains closed timelike curves. An attempt to build such a time machine is discussed. Using the energy-momentum conservation laws in the equivalent (2 + 1)-dimensional theory, the spacetime representing the decay of one gravitating particle into two is explicitly constructed; there is never enough mass in an open universe to build the time machine from the products of decays of stationary particles. More generally, the Gott time machine cannot exist in any open (2 + 1)-dimensional universe for which the total momentum is timelike.

  18. Research and Application of All-Position Automatic Welding Machine

    Institute of Scientific and Technical Information of China (English)

    YanZheng; LiangJunzhi; ZengHuilin

    2004-01-01

    The all-position automatic welding machine system is the special welding system for pipeline girth automatic welding on site, which has been widely used in the long distance pipeline construction projects due to the advantages of automatic control for welding parameters at all position, moving speed of bugs and operating. This automatic pipeline welding system has been successfully used in several main pipeline projects in China, and has been approved by the constructors with the benefits of higher quality passing rate, higher welding efficiency and lower labor intensity.

  19. Building machine learning systems with Python

    CERN Document Server

    Richert, Willi

    2013-01-01

    This is a tutorial-driven and practical, but well-grounded book showcasing good Machine Learning practices. There will be an emphasis on using existing technologies instead of showing how to write your own implementations of algorithms. This book is a scenario-based, example-driven tutorial. By the end of the book you will have learnt critical aspects of Machine Learning Python projects and experienced the power of ML-based systems by actually working on them.This book primarily targets Python developers who want to learn about and build Machine Learning into their projects, or who want to pro

  20. Study on full automatic arc welding machine for spherical tank

    Institute of Scientific and Technical Information of China (English)

    蒋力培; 张甲英; 俞建荣

    2002-01-01

    A full automatic welding machine for spherical tanks' all position multi-layer welds has been developed. This machine is mainly composed of a two-dimension seam tracking system based on microcomputer's memory and a welding tractor as well as rail. The main features of the machine are: while welding the first layer of a seam, its microcomputer system can analyze and store the tracing information from a two-dimension sensor, and control the welding head device to realize two-dimension real time tracing; while welding the second layer up to the top layer of the seam, it can realize two-dimension tracing based on the memorial data, automatically determine the layer number and continually sway the welding head. The welding test shows that the machine has good tracing and welding behavior, and is suitable for spherical tank's all position multi-layer welds.

  1. Process-scheme-driven automatic construction of NC machining cell for aircraft structural parts

    Institute of Scientific and Technical Information of China (English)

    Chen Shulin; Zheng Guolei; Zhou Min; Du Baorui; Chu Hongzhen

    2013-01-01

    In order to enhance the NC programming efficiency and quality of aircraft structural parts (ASPs), an intelligent NC programming pattern driven by process schemes is presented. In this pattern, the NC machining cell is the minimal organizational structure in the technological process, consisting of an operation machining volume cell, and the type and parameters of the machining operation. After the machining cell construction, the final NC program can be easily obtained in a CAD/CAM system by instantiating the machining operation for each machining cell. Accord-ingly, how to automatically establish the machining cells is a key issue in intelligent NC program-ming. On the basis of the NC machining craft of ASP, the paper aims to make an in-depth research on this issue. Firstly, some new terms about the residual volume and the machinable volume are defined, and then, the technological process is modeled with a process scheme. Secondly, the approach to building the machining cells is introduced, in which real-time complement machining is mainly considered to avoid interference and overcutting. Thirdly, the implementing algorithm is designed and applied to the Intelligent NC Programming System of ASP. Finally, the developed algorithm is validated through two case studies.

  2. Study on the all position automatic pipeline backing weld machine

    Institute of Scientific and Technical Information of China (English)

    Tang Deyu; Feng Biao; Li Chunrun; Niu Huli; Zhang Yongsheng; Zhang Jianhu

    2008-01-01

    As a result of the lower backing weld efficiency, the applying of automatic welding is seriously limited. So a kind of special automatic welder is designed and manufactured for backing weld. This paper introduces the character of the assembled pulse CO2 arc welding machine which has strong penetrability. It specifies the technology of controlling the parameters of all position automatic welding by computer and multi-axis controller. Moreover typical welding proce-dure parameters are provided. It is proved by examination that the economical and practical equipment and technology are suitable for the long-distance transmission pipeline, and it has a good foreground of spreading and applying.

  3. Automatic Calibration Of Manual Machine Tools

    Science.gov (United States)

    Gurney, Rex D.

    1990-01-01

    Modified scheme uses data from multiple positions and eliminates tedious positioning. Modification of computer program adapts calibration system for convenient use with manually-controlled machine tools. Developed for use on computer-controlled tools. Option added to calibration program allows data on random tool-axis positions to be entered manually into computer for reduction. Instead of setting axis to predetermined positions, operator merely sets it at variety of arbitrary positions.

  4. Design of electric control system for automatic vegetable bundling machine

    Science.gov (United States)

    Bao, Yan

    2017-06-01

    A design can meet the requirements of automatic bale food structure and has the advantages of simple circuit, and the volume is easy to enhance the electric control system of machine carrying bunch of dishes and low cost. The bundle of vegetable machine should meet the sensor to detect and control, in order to meet the control requirements; binding force can be adjusted by the button to achieve; strapping speed also can be adjusted, by the keys to set; sensors and mechanical line connection, convenient operation; can be directly connected with the plug, the 220V power supply can be connected to a power source; if, can work, by the transmission signal sensor, MCU to control the motor, drive and control procedures for small motor. The working principle of LED control circuit and temperature control circuit is described. The design of electric control system of automatic dish machine.

  5. Machine to machine (M2M) technology in demand responsive commercial buildings

    Energy Technology Data Exchange (ETDEWEB)

    Watson, David S.; Piette, Mary Ann; Sezgen, Osman; Motegi, Naoya; ten Hope, Laurie

    2004-08-01

    Machine to Machine (M2M) is a term used to describe the technologies that enable computers, embedded processors, smart sensors, actuators and mobile devices to communicate with one another, take measurements and make decisions--often without human intervention. M2M technology was applied to five commercial buildings in a test. The goal was to reduce electric demand when a remote price signal rose above a predetermine price. In this system, a variable price signal was generated from a single source on the Internet and distributed using the meta-language, XML (Extensible Markup Language). Each of five commercial building sites monitored the common price signal and automatically shed site-specific electric loads when the price increased above predetermined thresholds. Other than price signal scheduling, which was set up in advance by the project researchers, the system was designed to operate without human intervention during the two-week test period. Although the buildings responded to the same price signal, the communication infrastructures used at each building were substantially different. This study provides an overview of the technologies used at each building site, the price generator/server, and each link in between. Network architecture, security, data visualization and site-specific system features are characterized. The results of the test are discussed, including: functionality at each site, measurement and verification techniques, and feedback from energy managers and building operators. Lessons learned from the test and potential implications for widespread rollout are provided.

  6. A Study on Automatic Scoring for Machine Translation Systems

    Institute of Scientific and Technical Information of China (English)

    Yao Jianmin(姚建民); Zhang Jing; Zhao Tiejun; Li Sheng

    2004-01-01

    String similarity measures of edit distance, cosine correlation and Dice coefficient are adopted to evaluate machine translation results. Experiment shows that the evaluation method distinguishes well between "good" and "bad" translations. Another experiment manifests a consistency between human and automatic scorings of 6 general-purpose MT systems. Equational analysis validates the experimental results. Although the data and graphs are very promising, correlation coefficient and significance tests at 0.01 level are made to ensure the reliability of the results. Linear regression is made to map the automatic scoring results to human scorings.

  7. Design and Fabrication of Automatic Glass Cutting Machine

    Science.gov (United States)

    Veena, T. R.; Kadadevaramath, R. S.; Nagaraj, P. M.; Madhusudhan, S. V.

    2016-09-01

    This paper deals with the design and fabrication of the automatic glass or mirror cutting machine. In order to increase the accuracy of cut and production rate; and decrease the production time and accidents caused due to manual cutting of mirror or glass, this project aims at development of an automatic machine which uses a programmable logic controller (PLC) for controlling the movement of the conveyer and also to control the pneumatic circuit. In this machine, the work of the operator is to load and unload the mirror. The cutter used in this machine is carbide wheel with its cutting edge ground to a V-shaped profile. The PLC controls the pneumatic cylinder and intern actuates the cutter along the glass, a fracture layer is formed causing a mark to be formed below the fracture layer and a crack to be formed below the rib mark. The machine elements are designed using CATIA V5R20 and pneumatic circuit are designed using FESTO FLUID SIM software.

  8. Automatic sleep staging using state machine-controlled decision trees.

    Science.gov (United States)

    Imtiaz, Syed Anas; Rodriguez-Villegas, Esther

    2015-01-01

    Automatic sleep staging from a reduced number of channels is desirable to save time, reduce costs and make sleep monitoring more accessible by providing home-based polysomnography. This paper introduces a novel algorithm for automatic scoring of sleep stages using a combination of small decision trees driven by a state machine. The algorithm uses two channels of EEG for feature extraction and has a state machine that selects a suitable decision tree for classification based on the prevailing sleep stage. Its performance has been evaluated using the complete dataset of 61 recordings from PhysioNet Sleep EDF Expanded database achieving an overall accuracy of 82% and 79% on training and test sets respectively. The algorithm has been developed with a very small number of decision tree nodes that are active at any given time making it suitable for use in resource-constrained wearable systems.

  9. 高层建筑玻璃幕墙自动清洗机三维结构设计及有限元分析%Finite Element Analysis and Three-dimensional Structure Design of Automatic Cleaning Machine for Glass Curtain Wall of High-rise Buildings

    Institute of Scientific and Technical Information of China (English)

    王素艳

    2016-01-01

    基于自动化、 智能化、 低成本、 安全高效的理念对高层建筑玻璃幕墙自动清洗机的行走机构、 清洗机构、 转向机构及安全机构等进行三维结构设计,同时采用SolidWorks软件中的Simulation插件,对自动清洗机中受力最大的底板进行有限元分析.该自动清洗机能可靠地吸附在垂直的玻璃幕墙外表面,实现自动行走、 转向、 清洗,安全可靠,可有效解决人工清洗高层建筑玻璃幕墙危险性大、 效率低等弊端,大大提高劳动效率.%Based on automation, intelligent, low cost, safe and effective ideas for automatic cleaning machine running mechanism of glass curtain wall of high-rise building, a cleaning mechanism, a steering mechanism and security mechanism of three dimensional ( 3D) structure was designed, at the same time using SolidWorks software in the Simulation plug-in, automatic cleaning machine for floor of the largest stress of finite element analysis ( FEA) was carried out.The automatic cleaning machine could be reliably adsorped in the outer surface of the glass curtain wall vertically to realize the automatic walking, turning, clean, safe and reliable.It can effec-tively solve the problem of big risk of manual cleaning of glass curtain wall of high-rise buildings, the defects of low efficiency, and greatly improve labour efficiency.

  10. Automatic application of teat disinfectant through the milking machine cluster.

    Science.gov (United States)

    Grindal, R J; Priest, D J

    1989-08-01

    An automatic device, which infuses disinfectant into the mouthpiece of the liner of the milking machine cluster as teatcups are removed, is described. Application at this time avoids any delay in disinfection, reduces the workload in the parlour and increases reliability of application. The teats of 20 cows were contaminated before each milking by immersion in a suspension of Staphylococcus aureus and Streptococcus agalactiae and then disinfected manually or automatically with iodophor after milking. Str. agalactiae was recovered from less than 5% of swabs and there was no difference between the results from the two methods. Neither method of disinfection was as effective against Staph. aureus and the recovery rate was significantly greater for the automatic method for both swabs from teat barrel (P less than 0.05) and teat apex (P less than 0.001). Rates of intramammary infection for quarters automatically or manually disinfected were similar and low (3/40 v. 6/40 respectively). The automatic method facilitates cluster removal by relieving vacuum and decreasing frictional contact at the mouthpiece lip, and utilizes approximately half the quantity of disinfectant used by manual dipping (0.9 v. 1.9 ml/teat). However, iodine contamination in the milk from the iodophor teat disinfectant was significantly increased from 14.4 to 102.2 micrograms 12/100 ml milk when no backflushing was practised.

  11. AUTOMATIC EXTRACTION OF BUILDING OUTLINE FROM HIGH RESOLUTION AERIAL IMAGERY

    Directory of Open Access Journals (Sweden)

    Y. Wang

    2016-06-01

    Full Text Available In this paper, a new approach for automated extraction of building boundary from high resolution imagery is proposed. The proposed approach uses both geometric and spectral properties of a building to detect and locate buildings accurately. It consists of automatic generation of high quality point cloud from the imagery, building detection from point cloud, classification of building roof and generation of building outline. Point cloud is generated from the imagery automatically using semi-global image matching technology. Buildings are detected from the differential surface generated from the point cloud. Further classification of building roof is performed in order to generate accurate building outline. Finally classified building roof is converted into vector format. Numerous tests have been done on images in different locations and results are presented in the paper.

  12. Automatic Extraction of Building Outline from High Resolution Aerial Imagery

    Science.gov (United States)

    Wang, Yandong

    2016-06-01

    In this paper, a new approach for automated extraction of building boundary from high resolution imagery is proposed. The proposed approach uses both geometric and spectral properties of a building to detect and locate buildings accurately. It consists of automatic generation of high quality point cloud from the imagery, building detection from point cloud, classification of building roof and generation of building outline. Point cloud is generated from the imagery automatically using semi-global image matching technology. Buildings are detected from the differential surface generated from the point cloud. Further classification of building roof is performed in order to generate accurate building outline. Finally classified building roof is converted into vector format. Numerous tests have been done on images in different locations and results are presented in the paper.

  13. Automatic Rectification of Building FAÇADES

    Science.gov (United States)

    Tsironis, V.; Tranou, A.; Vythoulkas, A.; Psalta, A.; Petsa, E.; Karras, G.

    2017-02-01

    Focusing mainly on the case of (near-)planar building façades, a methodology for their automatic projective rectification is described and evaluated. It relies on a suitably configured, calibrated stereo pair of an object expected to contain a minimum of vertical and/or horizontal lines for the purposes of levelling. The SURF operator has been used for extracting and matching interest points. The coplanar points have been separated with two alternative methods. First, the fundamental matrix of the stereo pair, computed using robust estimation, allows estimating the relative orientation of the calibrated pair; initial parameter values, if needed, may be estimated via the essential matrix. Intersection of valid points creates a 3D point set in model space, to which a plane is robustly fitted. Second, all initial point matches are directly used for robustly estimating the inter-image homography of the pair, thus directly selecting all image matches referring to coplanar points; initial values for the relative orientation parameters, if needed, may be estimated from a decomposition of the inter-image homography. Finally, all intersected coplanar model points yield the object-to-image homography to allow image rectification. The in-plane rotation required to finalize the transformation is found by assuming that rectified images contain sufficient straight linear segments to form a dominant pair of orthogonal directions which correspond to horizontality/verticality in 3D space. In our implementation, image edges from Canny detector are used in linear Hough Transform (HT) resulting in a 2D array (ρ, θ) with values equal to the sum of pixels belonging to the particular line. Quantization parameter values aim at absorbing possible slight deviations from collinearity due to thinning or uncorrected lens distortions. By first imposing a threshold expressing the minimum acceptable number of edge-characterized pixels, the resulting HT is accumulated along the ρ-dimension to

  14. Improved Support Vector Machine Approach Based on Determining Thresholds Automatically

    Institute of Scientific and Technical Information of China (English)

    WANG Xiao-hua; YAN Xue-mei; WANG Xiao-guang

    2007-01-01

    To improve the training speed of support vector machine (SVM), a method called improved center distance ratio method (ICDRM) with determining thresholds automatically is presented here without reduce the identification rate. In this method border vectors are chosen from the given samples by comparing sample vectors with center distance ratio in advance. The number of training samples is reduced greatly and the training speed is improved. This method is used to the identification for license plate characters. Experimental results show that the improved SVM method-ICDRM does well at identification rate and training speed.

  15. Design and construction of automatic sorting station with machine vision

    Directory of Open Access Journals (Sweden)

    Oscar D. Velasco-Delgado

    2014-01-01

    Full Text Available This article presents the design, construction and testing of an automatic product sorting system in belt conveyor with machine vision that integrates Free and Open Source Software technology and Allen Bradley commercial equipment. Requirements are defined to determine features such as: mechanics of manufacturing station, an app of product sorting with machine vision and for automation system. For the app of machine vision a library is used for optical digital image processing Open CV, for the mechanical design of the manufacturing station is used the CAD tool Solid Edge and for the design and implementation of automation ISA standards are used along with an automation engineering project methodology integrating a PLC, an inverter, a Panel View and a DeviceNet Network. Performance tests are shown by classifying bottles and PVC pieces in four established types, the behavior of the integrated system is checked so as the efficiency of the same. The processing time on machine vision is 0.290 s on average for a piece of PVC, a capacity of 206 accessories per minute, for bottles was obtained a processing time of 0.267 s, a capacity of 224 bottles per minute. A maximum mechanical performance is obtained with 32 products per minute (1920 products/hour with the conveyor to 22 cm/s and 40 cm of distance between products obtaining an average error of 0.8%.

  16. Automatic Generation of Machine Emulators: Efficient Synthesis of Robust Virtual Machines for Legacy Software Migration

    DEFF Research Database (Denmark)

    Franz, Michael; Gal, Andreas; Probst, Christian

    2006-01-01

    As older mainframe architectures become obsolete, the corresponding le- gacy software is increasingly executed via platform emulators running on top of more modern commodity hardware. These emulators are virtual machines that often include a combination of interpreters and just-in-time compilers....... Implementing interpreters and compilers for each combination of emulated and target platform independently of each other is a redundant and error-prone task. We describe an alternative approach that automatically synthesizes specialized virtual-machine interpreters and just-in-time compilers, which...

  17. Automatic Generation of Machine Emulators: Efficient Synthesis of Robust Virtual Machines for Legacy Software Migration

    DEFF Research Database (Denmark)

    Franz, Michael; Gal, Andreas; Probst, Christian

    2006-01-01

    As older mainframe architectures become obsolete, the corresponding le- gacy software is increasingly executed via platform emulators running on top of more modern commodity hardware. These emulators are virtual machines that often include a combination of interpreters and just-in-time compilers....... Implementing interpreters and compilers for each combination of emulated and target platform independently of each other is a redundant and error-prone task. We describe an alternative approach that automatically synthesizes specialized virtual-machine interpreters and just-in-time compilers, which...... then execute on top of an existing software portability platform such as Java. The result is a considerably reduced implementation effort....

  18. Automatic Generation of 3D Building Models with Multiple Roofs

    Institute of Scientific and Technical Information of China (English)

    Kenichi Sugihara; Yoshitugu Hayashi

    2008-01-01

    Based on building footprints (building polygons) on digital maps, we are proposing the GIS and CG integrated system that automatically generates 3D building models with multiple roofs. Most building polygons' edges meet at right angles (orthogonal polygon). The integrated system partitions orthogonal building polygons into a set of rectangles and places rectangular roofs and box-shaped building bodies on these rectangles. In order to partition an orthogonal polygon, we proposed a useful polygon expression in deciding from which vertex a dividing line is drawn. In this paper, we propose a new scheme for partitioning building polygons and show the process of creating 3D roof models.

  19. Automatic tea service machine with instantaneous cooling unit; Shunkan reikyaku kiko tosai jido kyuchaki

    Energy Technology Data Exchange (ETDEWEB)

    Sato, T.; Nishiyama, A. [Fuji Denki Reiki Co. Ltd., Tokyo (Japan)

    1999-08-10

    The market of automatic tea service machines demands sanitation, reduction in time required for pouring tea, feeding the material, cleaning the inside of the machine, the maintenance and service of the machine, and excellent design. To meet these demands, Fuji Electric has changed the former configuration and components for functions and has developed a new series of instantaneous automatic tea service machines based on a new concept. This paper outlines the advantages of the instantaneous cooling tank and improvements in handling. (author)

  20. Automatic Building Information Model Query Generation

    Energy Technology Data Exchange (ETDEWEB)

    Jiang, Yufei; Yu, Nan; Ming, Jiang; Lee, Sanghoon; DeGraw, Jason; Yen, John; Messner, John I.; Wu, Dinghao

    2015-12-01

    Energy efficient building design and construction calls for extensive collaboration between different subfields of the Architecture, Engineering and Construction (AEC) community. Performing building design and construction engineering raises challenges on data integration and software interoperability. Using Building Information Modeling (BIM) data hub to host and integrate building models is a promising solution to address those challenges, which can ease building design information management. However, the partial model query mechanism of current BIM data hub collaboration model has several limitations, which prevents designers and engineers to take advantage of BIM. To address this problem, we propose a general and effective approach to generate query code based on a Model View Definition (MVD). This approach is demonstrated through a software prototype called QueryGenerator. By demonstrating a case study using multi-zone air flow analysis, we show how our approach and tool can help domain experts to use BIM to drive building design with less labour and lower overhead cost.

  1. Machine learning for the automatic detection of anomalous events

    Science.gov (United States)

    Fisher, Wendy D.

    In this dissertation, we describe our research contributions for a novel approach to the application of machine learning for the automatic detection of anomalous events. We work in two different domains to ensure a robust data-driven workflow that could be generalized for monitoring other systems. Specifically, in our first domain, we begin with the identification of internal erosion events in earth dams and levees (EDLs) using geophysical data collected from sensors located on the surface of the levee. As EDLs across the globe reach the end of their design lives, effectively monitoring their structural integrity is of critical importance. The second domain of interest is related to mobile telecommunications, where we investigate a system for automatically detecting non-commercial base station routers (BSRs) operating in protected frequency space. The presence of non-commercial BSRs can disrupt the connectivity of end users, cause service issues for the commercial providers, and introduce significant security concerns. We provide our motivation, experimentation, and results from investigating a generalized novel data-driven workflow using several machine learning techniques. In Chapter 2, we present results from our performance study that uses popular unsupervised clustering algorithms to gain insights to our real-world problems, and evaluate our results using internal and external validation techniques. Using EDL passive seismic data from an experimental laboratory earth embankment, results consistently show a clear separation of events from non-events in four of the five clustering algorithms applied. Chapter 3 uses a multivariate Gaussian machine learning model to identify anomalies in our experimental data sets. For the EDL work, we used experimental data from two different laboratory earth embankments. Additionally, we explore five wavelet transform methods for signal denoising. The best performance is achieved with the Haar wavelets. We achieve up to 97

  2. A Machine Vision System for Automatically Grading Hardwood Lumber - (Industrial Metrology)

    Science.gov (United States)

    Richard W. Conners; Tai-Hoon Cho; Chong T. Ng; Thomas T. Drayer; Philip A. Araman; Robert L. Brisbon

    1992-01-01

    Any automatic system for grading hardwood lumber can conceptually be divided into two components. One of these is a machine vision system for locating and identifying grading defects. The other is an automatic grading program that accepts as input the output of the machine vision system and, based on these data, determines the grade of a board. The progress that has...

  3. Digital controller for a Baum folding machine. [providing automatic counting and machine shutoff

    Science.gov (United States)

    Bryant, W. H. (Inventor)

    1974-01-01

    A digital controller for controlling the operation of a folding machine enables automatic folding of a desired number of sheets responsive to entry of that number into a selector. The controller includes three decade counter stages for corresponding rows of units, tens and hundreds push buttons. Each stage including a decimal-to-BCD encoder, a buffer register, and a digital or binary counter. The BCD representation of the selected count for each digit is loaded into the respective decade down counters. Pulses generated by a sensor and associated circuitry are used to decrease the count in the decade counters. When the content of the decade counter reaches either 0 or 1, a solenoid control valve is actuated which interrupts operation of the machine. A repeat switch, when actuated, prevents clearing of the buffer registers so that multiple groups of the same number of sheets can be folded without reentering the number into the selector.

  4. Building a Successful Machine Safeguarding Program

    Energy Technology Data Exchange (ETDEWEB)

    McConnell, S

    2003-03-06

    Safeguarding hazards associated with machines is a goal common to all health and safety professionals. Whether the individual is new to the safety field or has held associated responsibilities for a period of time, safeguarding personnel who work with or around machine tools and equipment should be considered an important aspect of the job. Although significant progress has been made in terms of safeguarding machines since the era prior to the organized safety movement, companies continue to be cited by the Occupational Safety and Health Administration (OSHA) and workers continue to be injured, even killed by machine tools and equipment. In the early 1900s, it was common practice to operate transmission machinery (gears, belts, pulleys, shafting, etc.) completely unguarded. At that time, the countersunk set screw used on shafting had not been invented and projecting set screws were involved in many horrific accidents. Manufacturers built machines with little regard for worker safety. Workers were killed or seriously injured before definitive actions were taken to improve safety in the workplace. Many states adopted legislation aimed at requiring machine guarding and improved injury reduction. The first patent for a machine safeguard was issued in 1868 for a mechanical interlock. Other patents followed. As methods for safeguarding machinery and tools were developed, standards were written and programs were set up to monitor factories for compliance. Many of those standards continue to govern how we protect workers today. It is common to see machine tools built in the forties, fifties and sixties being used in machine shops today. In terms of safeguarding, these machines may be considered poorly designed, improperly safeguarded or simply unguarded. In addition to the potential threat of an OSHA citation, these conditions expose the operator to serious hazards that must be addressed. The safety professional can help line management determine workable solutions for

  5. Research on key control technologies of all-position automatic welding machine

    Institute of Scientific and Technical Information of China (English)

    Zeng Huilin; Du Zeyu; Ma Jing; Huang Fuxiang

    2009-01-01

    The pipeline all-position automatic welding machine system is a special welding system for automatically welding circumferential joint of pipeline on site, which has been widely used to the long-distance pipeline construction projects due to the advantages of automatic control for welding parameters at all-position, moving speed of bugs and operating. In this paper, the key control technologies of PAWM all-position automatic welding machine (developed by Pipeline Research Institute of CNPC) such as the automatic control system, control software, personal digital assistant (PDA) software and complex programmable logic device(CPLD) program as well as the control method of welding parameter have been described detailedly. With the higher welding quality, higher welding efficiency and lower labor intensity, PAWM all-position automatic welding machine has been successfully applied in many famous pipeline construction projects.

  6. Building machine learning systems with Python

    CERN Document Server

    Coelho, Luis Pedro

    2015-01-01

    This book primarily targets Python developers who want to learn and use Python's machine learning capabilities and gain valuable insights from data to develop effective solutions for business problems.

  7. Towards an automatic model transformation mechanism from UML state machines to DEVS models

    Directory of Open Access Journals (Sweden)

    Ariel González

    2015-08-01

    Full Text Available The development of complex event-driven systems requires studies and analysis prior to deployment with the goal of detecting unwanted behavior. UML is a language widely used by the software engineering community for modeling these systems through state machines, among other mechanisms. Currently, these models do not have appropriate execution and simulation tools to analyze the real behavior of systems. Existing tools do not provide appropriate libraries (sampling from a probability distribution, plotting, etc. both to build and to analyze models. Modeling and simulation for design and prototyping of systems are widely used techniques to predict, investigate and compare the performance of systems. In particular, the Discrete Event System Specification (DEVS formalism separates the modeling and simulation; there are several tools available on the market that run and collect information from DEVS models. This paper proposes a model transformation mechanism from UML state machines to DEVS models in the Model-Driven Development (MDD context, through the declarative QVT Relations language, in order to perform simulations using tools, such as PowerDEVS. A mechanism to validate the transformation is proposed. Moreover, examples of application to analyze the behavior of an automatic banking machine and a control system of an elevator are presented.

  8. Automatic building extraction and segmentation directly from lidar point clouds

    Science.gov (United States)

    Jiang, Jingjue; Ming, Ying

    2006-10-01

    This paper presents an automatic approach for building extraction and segmentation directly from Lidar point clouds without previous rasterization or triangulation. The algorithm works in the following sequential steps. First, a filtering algorithm, which is capable of preserving steep terrain features, is performed on raw Lidar point clouds. Points that belong to the bare earth and those that belong to buildings are separated. Second, the building points which may include some vegetation and other objects due to the disturbance of noise and the distribution of points are segmented further by using a Riemannian Graph. Then building segments are recognized by considering size and roughness. Finally, each segment can be treated as a building roof plane. Experiment results show that the algorithm is very promising.

  9. Advances in Fully-Automatic and Interactive Phrase-Based Statistical Machine Translation

    OpenAIRE

    Ortiz Martínez, Daniel

    2011-01-01

    This thesis presents different contributions in the fields of fully-automatic statistical machine translation and interactive statistical machine translation. In the field of statistical machine translation there are three problems that are to be addressed, namely, the modelling problem, the training problem and the search problem. In this thesis we present contributions regarding these three problems. Regarding the modelling problem, an alternative derivation of phrase-based s...

  10. Building a Large-Scale Knowledge Base for Machine Translation

    CERN Document Server

    Knight, K; Knight, Kevin; Luk, Steve K.

    1994-01-01

    Knowledge-based machine translation (KBMT) systems have achieved excellent results in constrained domains, but have not yet scaled up to newspaper text. The reason is that knowledge resources (lexicons, grammar rules, world models) must be painstakingly handcrafted from scratch. One of the hypotheses being tested in the PANGLOSS machine translation project is whether or not these resources can be semi-automatically acquired on a very large scale. This paper focuses on the construction of a large ontology (or knowledge base, or world model) for supporting KBMT. It contains representations for some 70,000 commonly encountered objects, processes, qualities, and relations. The ontology was constructed by merging various online dictionaries, semantic networks, and bilingual resources, through semi-automatic methods. Some of these methods (e.g., conceptual matching of semantic taxonomies) are broadly applicable to problems of importing/exporting knowledge from one KB to another. Other methods (e.g., bilingual match...

  11. Evaluating automatically parallelized versions of the support vector machine

    NARCIS (Netherlands)

    Codreanu, Valeriu; Droge, Bob; Williams, David; Yasar, Burhan; Yang, Fo; Liu, Baoquan; Dong, Feng; Surinta, Olarik; Schomaker, Lambertus; Roerdink, Jos; Wiering, Marco

    2014-01-01

    The support vector machine (SVM) is a supervised learning algorithm used for recognizing patterns in data. It is a very popular technique in machine learning and has been successfully used in applications such as image classification, protein classification, and handwriting recognition. However, the

  12. Calibrating Building Energy Models Using Supercomputer Trained Machine Learning Agents

    Energy Technology Data Exchange (ETDEWEB)

    Sanyal, Jibonananda [ORNL; New, Joshua Ryan [ORNL; Edwards, Richard [ORNL; Parker, Lynne Edwards [ORNL

    2014-01-01

    Building Energy Modeling (BEM) is an approach to model the energy usage in buildings for design and retrofit purposes. EnergyPlus is the flagship Department of Energy software that performs BEM for different types of buildings. The input to EnergyPlus can often extend in the order of a few thousand parameters which have to be calibrated manually by an expert for realistic energy modeling. This makes it challenging and expensive thereby making building energy modeling unfeasible for smaller projects. In this paper, we describe the Autotune research which employs machine learning algorithms to generate agents for the different kinds of standard reference buildings in the U.S. building stock. The parametric space and the variety of building locations and types make this a challenging computational problem necessitating the use of supercomputers. Millions of EnergyPlus simulations are run on supercomputers which are subsequently used to train machine learning algorithms to generate agents. These agents, once created, can then run in a fraction of the time thereby allowing cost-effective calibration of building models.

  13. Automated mapping of building facades by machine learning

    DEFF Research Database (Denmark)

    Höhle, Joachim

    2014-01-01

    Facades of buildings contain various types of objects which have to be recorded for information systems. The article describes a solution for this task focussing on automated classification by means of machine learning techniques. Stereo pairs of oblique images are used to derive 3D point clouds...

  14. Building an Automatic Thesaurus to Enhance Information Retrieval

    Directory of Open Access Journals (Sweden)

    Essam Said Hanandeh

    2013-01-01

    Full Text Available One of the major problems of modern Information Retrieval (IR systems is the vocabulary Problem that concerns with the discrepancies between terms used for describing documents and the terms used by the researcher to describe their information need. We have implemented an automatic thesurs, the system was built using Vector Space Model (VSM. In this model, we used Cosine measure similarity. In this paper we use selected 242 Arabic abstract documents. All these abstracts involve computer science and information system. The main goal of this paper is to design and build automatic Arabic thesauri using term-term similarity that can be used in any special field or domain to improve the expansion process and to get more relevance documents for the user's query. The study concluded that the similarl thesaurus improved the recall and precision more than traditional information retrieval system in terms of recall and precision level.

  15. A machine learning-based automatic currency trading system

    OpenAIRE

    Brvar, Anže

    2012-01-01

    The main goal of this thesis was to develop an automated trading system for Forex trading, which would use machine learning methods and their prediction models for deciding about trading actions. A training data set was obtained from exchange rates and values of technical indicators, which describe conditions on currency market. We estimated selected machine learning algorithms and their parameters with validation with sampling. We have prepared a set of automated trading systems with various...

  16. An Automatic Decision-Making Mechanism for Virtual Machine Live Migration in Private Clouds

    Directory of Open Access Journals (Sweden)

    Ming-Tsung Kao

    2014-01-01

    Full Text Available Due to the increasing number of computer hosts deployed in an enterprise, automatic management of electronic applications is inevitable. To provide diverse services, there will be increases in procurement, maintenance, and electricity costs. Virtualization technology is getting popular in cloud computing environment, which enables the efficient use of computing resources and reduces the operating cost. In this paper, we present an automatic mechanism to consolidate virtual servers and shut down the idle physical machines during the off-peak hours, while activating more machines at peak times. Through the monitoring of system resources, heavy system loads can be evenly distributed over physical machines to achieve load balancing. By integrating the feature of load balancing with virtual machine live migration, we successfully develop an automatic private cloud management system. Experimental results demonstrate that, during the off-peak hours, we can save power consumption of about 69 W by consolidating the idle virtual servers. And the load balancing implementation has shown that two machines with 80% and 40% CPU loads can be uniformly balanced to 60% each. And, through the use of preallocated virtual machine images, the proposed mechanism can be easily applied to a large amount of physical machines.

  17. The Modelling Of Basing Holes Machining Of Automatically Replaceable Cubical Units For Reconfigurable Manufacturing Systems With Low-Waste Production

    Science.gov (United States)

    Bobrovskij, N. M.; Levashkin, D. G.; Bobrovskij, I. N.; Melnikov, P. A.; Lukyanov, A. A.

    2017-01-01

    Article is devoted the decision of basing holes machining accuracy problems of automatically replaceable cubical units (carriers) for reconfigurable manufacturing systems with low-waste production (RMS). Results of automatically replaceable units basing holes machining modeling on the basis of the dimensional chains analysis are presented. Influence of machining parameters processing on accuracy spacings on centers between basing apertures is shown. The mathematical model of carriers basing holes machining accuracy is offered.

  18. Automated Classification of Heritage Buildings for As-Built Bim Using Machine Learning Techniques

    Science.gov (United States)

    Bassier, M.; Vergauwen, M.; Van Genechten, B.

    2017-08-01

    Semantically rich three dimensional models such as Building Information Models (BIMs) are increasingly used in digital heritage. They provide the required information to varying stakeholders during the different stages of the historic buildings life cyle which is crucial in the conservation process. The creation of as-built BIM models is based on point cloud data. However, manually interpreting this data is labour intensive and often leads to misinterpretations. By automatically classifying the point cloud, the information can be proccesed more effeciently. A key aspect in this automated scan-to-BIM process is the classification of building objects. In this research we look to automatically recognise elements in existing buildings to create compact semantic information models. Our algorithm efficiently extracts the main structural components such as floors, ceilings, roofs, walls and beams despite the presence of significant clutter and occlusions. More specifically, Support Vector Machines (SVM) are proposed for the classification. The algorithm is evaluated using real data of a variety of existing buildings. The results prove that the used classifier recognizes the objects with both high precision and recall. As a result, entire data sets are reliably labelled at once. The approach enables experts to better document and process heritage assets.

  19. Automatization techniques for processing biomedical signals using machine learning methods

    OpenAIRE

    Artés Rodríguez, Antonio

    2008-01-01

    The Signal Processing Group (Department of Signal Theory and Communications, University Carlos III, Madrid, Spain) offers the expertise of its members in the automatic processing of biomedical signals. The main advantages in this technology are the decreased cost, the time saved and the increased reliability of the results. Technical cooperation for the research and development with internal and external funding is sought.

  20. Identification of Village Building via Google Earth Images and Supervised Machine Learning Methods

    Directory of Open Access Journals (Sweden)

    Zhiling Guo

    2016-03-01

    Full Text Available In this study, a method based on supervised machine learning is proposed to identify village buildings from open high-resolution remote sensing images. We select Google Earth (GE RGB images to perform the classification in order to examine its suitability for village mapping, and investigate the feasibility of using machine learning methods to provide automatic classification in such fields. By analyzing the characteristics of GE images, we design different features on the basis of two kinds of supervised machine learning methods for classification: adaptive boosting (AdaBoost and convolutional neural networks (CNN. To recognize village buildings via their color and texture information, the RGB color features and a large number of Haar-like features in a local window are utilized in the AdaBoost method; with multilayer trained networks based on gradient descent algorithms and back propagation, CNN perform the identification by mining deeper information from buildings and their neighborhood. Experimental results from the testing area at Savannakhet province in Laos show that our proposed AdaBoost method achieves an overall accuracy of 96.22% and the CNN method is also competitive with an overall accuracy of 96.30%.

  1. Improving Automation Routines for Automatic Heating Load Detection in Buildings

    Directory of Open Access Journals (Sweden)

    Stephen Timlin

    2012-11-01

    Full Text Available Energy managers use weather compensation data and heating system cut off routines to reduce heating energy consumption in buildings and improve user comfort. These routines are traditionally based on the calculation of an estimated building load that is inferred from the external dry bulb temperature at any point in time. While this method does reduce heating energy consumption and accidental overheating, it can be inaccurate under some weather conditions and therefore has limited effectiveness. There remains considerable scope to improve on the accuracy and relevance of the traditional method by expanding the calculations used to include a larger range of environmental metrics. It is proposed that weather compensation and automatic shut off routines that are commonly used could be improved notably with little additional cost by the inclusion of additional weather metrics. This paper examines the theoretical relationship between various external metrics and building heating loads. Results of the application of an advanced routine to a recently constructed building are examined, and estimates are made of the potential savings that can be achieved through the use of the routines proposed.

  2. Novel Automatic Filter-Class Feature Selection for Machine Learning Regression

    DEFF Research Database (Denmark)

    Wollsen, Morten Gill; Hallam, John; Jørgensen, Bo Nørregaard

    2017-01-01

    With the increased focus on application of Big Data in all sectors of society, the performance of machine learning becomes essential. Efficient machine learning depends on efficient feature selection algorithms. Filter feature selection algorithms are model-free and therefore very fast, but require...... model in the feature selection process. PCA is often used in machine learning litterature and can be considered the default feature selection method. RDESF outperformed PCA in both experiments in both prediction error and computational speed. RDESF is a new step into filter-based automatic feature...

  3. Novel Automatic Filter-Class Feature Selection for Machine Learning Regression

    DEFF Research Database (Denmark)

    Wollsen, Morten Gill; Hallam, John; Jørgensen, Bo Nørregaard

    2016-01-01

    With the increased focus on application of Big Data in all sectors of society, the performance of machine learning becomes essential. Efficient machine learning depends on efficient feature selection algorithms. Filter feature selection algorithms are model-free and therefore very fast, but require...... model in the feature selection process. PCA is often used in machine learning litterature and can be considered the default feature selection method. RDESF outperformed PCA in both experiments in both prediction error and computational speed. RDESF is a new step into filter-based automatic feature...

  4. A Multiple Sensor Machine Vision System for Automatic Hardwood Feature Detection

    Science.gov (United States)

    D. Earl Kline; Richard W. Conners; Daniel L. Schmoldt; Philip A. Araman; Robert L. Brisbin

    1993-01-01

    A multiple sensor machine vision prototype is being developed to scan full size hardwood lumber at industrial speeds for automatically detecting features such as knots holes, wane, stain, splits, checks, and color. The prototype integrates a multiple sensor imaging system, a materials handling system, a computer system, and application software. The prototype provides...

  5. Evaluation of rotor axial vibrations in a turbo pump unit equipped with an automatic unloading machine

    Science.gov (United States)

    Martsynkovskyy, V. A.; Deineka, A.; Kovalenko, V.

    2017-08-01

    The article presents forced axial vibrations of the rotor with an automatic unloading machine in an oxidizer pump. A feature of the design is the use in the autoloading system of slotted throttles with mutually inverse throttling. Their conductivity is determined by a numerical experiment in the ANSYS CFX software package.

  6. Machine Learning Algorithms for Automatic Classification of Marmoset Vocalizations

    Science.gov (United States)

    Ribeiro, Sidarta; Pereira, Danillo R.; Papa, João P.; de Albuquerque, Victor Hugo C.

    2016-01-01

    Automatic classification of vocalization type could potentially become a useful tool for acoustic the monitoring of captive colonies of highly vocal primates. However, for classification to be useful in practice, a reliable algorithm that can be successfully trained on small datasets is necessary. In this work, we consider seven different classification algorithms with the goal of finding a robust classifier that can be successfully trained on small datasets. We found good classification performance (accuracy > 0.83 and F1-score > 0.84) using the Optimum Path Forest classifier. Dataset and algorithms are made publicly available. PMID:27654941

  7. An automatic 3D CAD model errors detection method of aircraft structural part for NC machining

    Directory of Open Access Journals (Sweden)

    Bo Huang

    2015-10-01

    Full Text Available Feature-based NC machining, which requires high quality of 3D CAD model, is widely used in machining aircraft structural part. However, there has been little research on how to automatically detect the CAD model errors. As a result, the user has to manually check the errors with great effort before NC programming. This paper proposes an automatic CAD model errors detection approach for aircraft structural part. First, the base faces are identified based on the reference directions corresponding to machining coordinate systems. Then, the CAD models are partitioned into multiple local regions based on the base faces. Finally, the CAD model error types are evaluated based on the heuristic rules. A prototype system based on CATIA has been developed to verify the effectiveness of the proposed approach.

  8. Automatically Identifying Morphological Relations in = Machine-Readable Dictionaries

    CERN Document Server

    Pentheroudakis, J; Pentheroudakis, Joseph; Vanderwende, Lucy

    1994-01-01

    We describe an automated method for identifying classes of morphologically related words in an on-line dictionary, and for linking individual senses in the derived form to one or more senses in the base form by means of morphological relation attributes. We also present an algorithm for computing a score reflecting the system=92s certainty in these derivational links; this computation relies on the content of semantic relations associated with each sense, which are extracted automatically by parsing each sense definition and subjecting the parse structure to automated semantic analysis. By processing the entire set of headwords in the dictionary in this fashion we create a large set of directed derivational graphs, which can then be accessed by other components in our broad-coverage NLP system. Spurious or unlikely derivations are not discarded, but are rather added to the dictionary and assigned a negative score; this allows the system to handle non-standard uses of these forms.

  9. Application of Machine Vision to Vehicle Automatic Collision Warning Algorithm

    Institute of Scientific and Technical Information of China (English)

    WANG Jiang-feng; GAO Feng; XU Guo-yan; YAO Sheng-zhuo

    2008-01-01

    Using the new technologies such as information technology, communication technology and electronic control technology, vehicle collision warning system(CWS) can acquire road condition, adjacent vehicle march condition as well as its dynamics performance continuously, then it can forecast the oncoming potential collision and give a warning. Based on the analysis of driver's driving behavior, algorithm's warning norms are determined. Based on warning norms adopting machine vision method, the cooperation collision warning algorithm(CWA) model with multi-input and multi-output is established which is used in supporting vehicle CWS. The CWA is tested using the actual data and the result shows that this algorithm can identify and carry out warning for vehicle collision efficiently, which has important meaning for improving the vehicle travel safety.

  10. Automatic Indoor Building Reconstruction from Mobile Laser Scanning Data

    Science.gov (United States)

    Xie, L.; Wang, R.

    2017-09-01

    Indoor reconstruction from point clouds is a hot topic in photogrammetry, computer vision and computer graphics. Reconstructing indoor scene from point clouds is challenging due to complex room floorplan and line-of-sight occlusions. Most of existing methods deal with stationary terrestrial laser scanning point clouds or RGB-D point clouds. In this paper, we propose an automatic method for reconstructing indoor 3D building models from mobile laser scanning point clouds. The method includes 2D floorplan generation, 3D building modeling, door detection and room segmentation. The main idea behind our approach is to separate wall structure into two different types as the inner wall and the outer wall based on the observation of point distribution. Then we utilize a graph cut based optimization method to solve the labeling problem and generate the 2D floorplan based on the optimization result. Subsequently, we leverage an ?-shape based method to detect the doors on the 2D projected point clouds and utilize the floorplan to segment the individual room. The experiments show that this door detection method can achieve a recognition rate at 97% and the room segmentation method can attain the correct segmentation results. We also evaluate the reconstruction accuracy on the synthetic data, which indicates the accuracy of our method is comparable to the state-of-the art.

  11. Automatic Bagging Machine for Cigarette%自动重袋包装机设计

    Institute of Scientific and Technical Information of China (English)

    程亮; 郭爱华; 孔晨曲; 李怀刚; 丁科; 李全华

    2011-01-01

    自动重袋包装机具有自动取袋、自动开袋、自动夹袋、自动充填等主要功能以及其他辅助功能,整个工序模仿人工套袋过程制定,并配套整形袋口装置使其在装袋完毕后能无缝对接折边机进入缝包机缝包.其中取袋及开袋等关键动作均由吸盘完成.%Automatic bagging machine has main function of fetching, opening, clipping and filling bag automatically and other functions, and the process of putting bag manually is imitated. E-quipped with flattening device for the mouth of bag, automatic bagging machine can make the filled bag going smoothly to folding machine and sewing machine. Actions of fetching, opening bags etc. are all finished by suckers.

  12. Possibilities for Automatic Control of Hydro-Mechanical Transmission and Birotating Electric Machine

    Directory of Open Access Journals (Sweden)

    V. V. Mikhailov

    2014-01-01

    Full Text Available The paper presents mathematical models and results of virtual investigations pertaining to the selected motion parameters of a mobile machine equipped with hydro mechanical and modernized transmissions. The machine has been tested in similar technological cycles and it has been equipped with a universal automatic control system. Changes in structure and type of power transmission have been obtained with the help of a control algorithm including an extra reversible electric machine which is switched in at some operational modes.Implementation of the proposed  concept makes it possible to obtain and check the improved C-code of the control system and enhance operational parameters of the transmission and machine efficiency, reduce slippage and tire wear while using braking energy for its later beneficial use which is usually considered as a consumable element.

  13. Concept of automatic programming of NC machine for metal plate cutting by genetic algorithm method

    Directory of Open Access Journals (Sweden)

    B. Vaupotic

    2005-12-01

    Full Text Available Purpose: In this paper the concept of automatic programs of the NC machine for metal plate cutting by genetic algorithm method has been presented.Design/methodology/approach: The paper was limited to automatic creation of NC programs for two-dimensional cutting of material by means of adaptive heuristic search algorithms.Findings: Automatic creation of NC programs in laser cutting of materials combines the CAD concepts, the recognition of features and creation and optimization of NC programs. The proposed intelligent system is capable to recognize automatically the nesting of products in the layout, to determine the incisions and sequences of cuts forming the laid out products. Position of incisions is determined at the relevant places on the cut. The system is capable to find the shortest path between individual cuts and to record the NC program.Research limitations/implications: It would be appropriate to orient future researches towards conceiving an improved system for three-dimensional cutting with optional determination of positions of incisions, with the capability to sense collisions and with optimization of the speed and acceleration during cutting.Practical implications: The proposed system assures automatic preparation of NC program without NC programer.Originality/value: The proposed concept shows a high degree of universality, efficiency and reliability and it can be simply adapted to other NC-machines.

  14. Forecasting risk of bankruptcy for machine-building plants

    Science.gov (United States)

    Telipenko, E.; Zakharova, A.; Sopova, Svetlana

    2015-09-01

    The paper presents an overview of well-known bankruptcy risk forecasting models, elaborated as by Russian so by foreign authors, on the basis of the data about financial and business activities of the biggest machine-building Russian plants. The authors substantiate and confirm appropriateness of a fuzzy set model to the problem of bankruptcy risk forecasting. This model is worked out on the basis of 10 most important factors, which have the greatest influence on sales proceeds as the main financial source for a production plant.

  15. Automatic Optimization System of Cutting Condition forDifferent Types of Machining Processes

    Directory of Open Access Journals (Sweden)

    Huda Hatem

    2009-01-01

    Full Text Available This research aims at calculating the optimum cutting condition for various types of machining methods, assisted by computers, (the computer program in this research is designed to solve linear programs; the program is written in v. basic language. The program obtains the results automatically, this occur through entering the preliminary information about the work piece and the operating condition, the program makes the calculation actually by solving a group of experimental relations, depending on the type of machining method (turning, milling, drilling. The program was transferred to package and group of windows to facilitate the use; it will automatically print the initial input and optimal solution, and thus reduce the effort and time required for the calculations, that helps to find the optimum values for the cutting system. Optimum values improved mechanical properties (wear, fatigue, strength … and gave better productivity.

  16. Automatically building large-scale named entity recognition corpora from Chinese Wikipedia

    Institute of Scientific and Technical Information of China (English)

    Jie ZHOU; Bi-cheng LI; Gang CHEN

    2015-01-01

    Named entity recognition (NER) is a core component in many natural language processing applications. Most NER systems rely on supervised machine learning methods, which depend on time-consuming and expensive annotations in different languages and domains. This paper presents a method for automatically building silver-standard NER corpora from Chinese Wikipedia. We refine novel and language-dependent features by exploiting the text and structure of Chinese Wikipedia. To reduce tagging errors caused by entity classification, we design four types of heuristic rules based on the characteristics of Chinese Wikipedia and train a supervised NE classifier, and a combined method is used to improve the precision and coverage. Then, we realize type identification of implicit mention by using boundary information of outgoing links. By selecting the sentences related with the domains of test data, we can train better NER models. In the experiments, large-scale NER corpora containing 2.3 million sentences are built from Chinese Wikipedia. The results show the effectiveness of automatically annotated corpora, and the trained NER models achieve the best performance when combining our silver-standard corpora with gold-standard corpora.

  17. PUS Services Software Building Block Automatic Generation for Space Missions

    Science.gov (United States)

    Candia, S.; Sgaramella, F.; Mele, G.

    2008-08-01

    The Packet Utilization Standard (PUS) has been specified by the European Committee for Space Standardization (ECSS) and issued as ECSS-E-70-41A to define the application-level interface between Ground Segments and Space Segments. The ECSS-E- 70-41A complements the ECSS-E-50 and the Consultative Committee for Space Data Systems (CCSDS) recommendations for packet telemetry and telecommand. The ECSS-E-70-41A characterizes the identified PUS Services from a functional point of view and the ECSS-E-70-31 standard specifies the rules for their mission-specific tailoring. The current on-board software design for a space mission implies the production of several PUS terminals, each providing a specific tailoring of the PUS services. The associated on-board software building blocks are developed independently, leading to very different design choices and implementations even when the mission tailoring requires very similar services (from the Ground operative perspective). In this scenario, the automatic production of the PUS services building blocks for a mission would be a way to optimize the overall mission economy and improve the robusteness and reliability of the on-board software and of the Ground-Space interactions. This paper presents the Space Software Italia (SSI) activities for the development of an integrated environment to support: the PUS services tailoring activity for a specific mission. the mission-specific PUS services configuration. the generation the UML model of the software building block implementing the mission-specific PUS services and the related source code, support documentation (software requirements, software architecture, test plans/procedures, operational manuals), and the TM/TC database. The paper deals with: (a) the project objectives, (b) the tailoring, configuration, and generation process, (c) the description of the environments supporting the process phases, (d) the characterization of the meta-model used for the generation, (e) the

  18. Analysis and Design of PLC-based Control System for Automatic Beverage Filling Machine

    Directory of Open Access Journals (Sweden)

    Yundan Lu

    2015-01-01

    Full Text Available Automatic filling system is the main equipment in the food machinery industry. With the development of beverage industry and increasing demand of the filling system. The relay control method in traditional Filling machine has low automation and integration level and cannot satisfy the rapid development of automatic production. PLC control method has advantages of simple programming, strong anti-interference and high working reliability, has gradually replace the relay control method. In this study, hardware and software for the automatic filling system based on PLC control is designed, especially the injection section servo control system which adopts the servo motor driver metering pump is carefully analyzed and the filling precision is highly improved.

  19. A feasibility study of automatic lung nodule detection in chest digital tomosynthesis with machine learning based on support vector machine

    Science.gov (United States)

    Lee, Donghoon; Kim, Ye-seul; Choi, Sunghoon; Lee, Haenghwa; Jo, Byungdu; Choi, Seungyeon; Shin, Jungwook; Kim, Hee-Joung

    2017-03-01

    The chest digital tomosynthesis(CDT) is recently developed medical device that has several advantage for diagnosing lung disease. For example, CDT provides depth information with relatively low radiation dose compared to computed tomography (CT). However, a major problem with CDT is the image artifacts associated with data incompleteness resulting from limited angle data acquisition in CDT geometry. For this reason, the sensitivity of lung disease was not clear compared to CT. In this study, to improve sensitivity of lung disease detection in CDT, we developed computer aided diagnosis (CAD) systems based on machine learning. For design CAD systems, we used 100 cases of lung nodules cropped images and 100 cases of normal lesion cropped images acquired by lung man phantoms and proto type CDT. We used machine learning techniques based on support vector machine and Gabor filter. The Gabor filter was used for extracting characteristics of lung nodules and we compared performance of feature extraction of Gabor filter with various scale and orientation parameters. We used 3, 4, 5 scales and 4, 6, 8 orientations. After extracting features, support vector machine (SVM) was used for classifying feature of lesions. The linear, polynomial and Gaussian kernels of SVM were compared to decide the best SVM conditions for CDT reconstruction images. The results of CAD system with machine learning showed the capability of automatically lung lesion detection. Furthermore detection performance was the best when Gabor filter with 5 scale and 8 orientation and SVM with Gaussian kernel were used. In conclusion, our suggested CAD system showed improving sensitivity of lung lesion detection in CDT and decide Gabor filter and SVM conditions to achieve higher detection performance of our developed CAD system for CDT.

  20. Process acceptance and adjustment techniques for Swiss automatic screw machine parts. Final report

    Energy Technology Data Exchange (ETDEWEB)

    Robb, J.M.

    1976-01-01

    Product tolerance requirements for small, cylindrical, piece parts produced on swiss automatic screw machines have progressed to the reliability limits of inspection equipment. The miniature size, configuration, and tolerance requirements (plus or minus 0.0001 in.) (0.00254 mm) of these parts preclude the use of screening techniques to accept product or adjust processes during setup and production runs; therefore, existing means of product acceptance and process adjustment must be refined or new techniques must be developed. The purpose of this endeavor has been to determine benefits gained through the implementation of a process acceptance technique (PAT) to swiss automatic screw machine processes. PAT is a statistical approach developed for the purpose of accepting product and centering processes for parts produced by selected, controlled processes. Through this endeavor a determination has been made of the conditions under which PAT can benefit a controlled process and some specific types of screw machine processes upon which PAT could be applied. However, it was also determined that PAT, if used indiscriminately, may become a record keeping burden when applied to more than one dimension at a given machining operation. (auth)

  1. Automatically feeded firewood machine, efficient, safe and accurate; Automaattisyoettoeinen klapikone. Tehokas, turvallinen ja varma

    Energy Technology Data Exchange (ETDEWEB)

    Riikkilae, M. [Metsaelehti, Helsinki (Finland)

    1994-12-31

    A new firewood chopping machine, developed by engineering workshop Kalevi Peurala, has an automated feed of the stems, which speeds up the chopping. The feeding roll sucks in the stem so the operator can go to fetch a new stem simultaneously. Additionally, the automatic feed lightens the chopping work. There is no need for holding the stem as the cutting and chopping blades split the wood into firewood. The automation also minimizes the dangers of the chopping work because the machine is totally encapsulated. The operator need not to go nearer the machine than to about one meters distance from the machine. Power supply is totally mechanical, arranged using a Cardan shaft. The power demand is low. The operator push the stem into the feeding channel, there a hook rising from the bottom of the channel draws the block between the draw-in roller and the guidance channel, pressed downwards with spring. The roller feeds the stem simultaneously towards the cutting blades. The blades roll in diverse directions. The 25 cm broad blades are pressed into the wood in slightly inclined position simultaneously from the top and the bottom of the cutter. The carving cutting diminishes the power demand. The splitting occurs simultaneously with the cutting. In the middle of the both cutting blades there are splitting dog which penetrate the block both downwards and upwards so the block splits simultaneously as it is cut. The length of the chopwood is controlled by changing the chain wheels. The machine contains chain wheels for 30 cm and 45 cm chopwood as standard equipment. The changing of the chain wheels takes about five minutes. Special tools are not needed. The maximum diameter of the processible wood is 20 cm. The machine is patented in Finland. The price of the machine is 30 000 FIM

  2. Automatic detection of Martian dark slope streaks by machine learning using HiRISE images

    Science.gov (United States)

    Wang, Yexin; Di, Kaichang; Xin, Xin; Wan, Wenhui

    2017-07-01

    Dark slope streaks (DSSs) on the Martian surface are one of the active geologic features that can be observed on Mars nowadays. The detection of DSS is a prerequisite for studying its appearance, morphology, and distribution to reveal its underlying geological mechanisms. In addition, increasingly massive amounts of Mars high resolution data are now available. Hence, an automatic detection method for locating DSSs is highly desirable. In this research, we present an automatic DSS detection method by combining interest region extraction and machine learning techniques. The interest region extraction combines gradient and regional grayscale information. Moreover, a novel recognition strategy is proposed that takes the normalized minimum bounding rectangles (MBRs) of the extracted regions to calculate the Local Binary Pattern (LBP) feature and train a DSS classifier using the Adaboost machine learning algorithm. Comparative experiments using five different feature descriptors and three different machine learning algorithms show the superiority of the proposed method. Experimental results utilizing 888 extracted region samples from 28 HiRISE images show that the overall detection accuracy of our proposed method is 92.4%, with a true positive rate of 79.1% and false positive rate of 3.7%, which in particular indicates great performance of the method at eliminating non-DSS regions.

  3. BRICORK: an automatic machine with image processing for the production of corks

    Science.gov (United States)

    Davies, Roger; Correia, Bento A. B.; Carvalho, Fernando D.; Rodrigues, Fernando C.

    1991-06-01

    The production of cork stoppers from raw cork strip is a manual and labour-intensive process in which a punch-operator quickly inspects all sides of the cork strip for defects and decides where to punch out stoppers. He then positions the strip underneath a rotating tubular cutter and punches out the stoppers one at a time. This procedure is somewhat subjective and prone to error, being dependent on the judgement and accuracy of the operator. This paper describes the machine being developed jointly by Mecanova, Laboratorio Nacional de Engenharia e Tecnologia (LNETI) and Empresa de Investiga&sigmafcoe Desenvolvimento de Electronica SA (EID) which automatically processes cork strip introduced by an unskilled operator. The machine uses both image processing and laser inspection techniques to examine the strip. Defects in the cork are detected and categorised in order to determine regions where stoppers may be punched. The precise locations are then automatically optimised for best usage of the raw material (quantity and quality of stoppers). In order to achieve the required speed of production these image processing techniques may be implemented in hardware. The paper presents results obtained using the vision system software under development together with descriptions of both the image processing and mechanical aspects of the proposed machine.

  4. Automatic SLEEP staging: From young aduslts to elderly patients using multi-class support vector machine

    DEFF Research Database (Denmark)

    Kempfner, Jacob; Jennum, Poul; Sorensen, Helge B. D.

    2013-01-01

    , and not the affected sleep events. The age-related influences are then reduced by robust subject-specific scaling. The classification of the three sleep stages are achieved by a multi-class support vector machine using the one-versus-rest scheme. It was possible to obtain a high classification accuracy of 0......Aging is a process that is inevitable, and makes our body vulnerable to age-related diseases. Age is the most consistent factor affecting the sleep structure. Therefore, new automatic sleep staging methods, to be used in both of young and elderly patients, are needed. This study proposes...... an automatic sleep stage detector, which can separate wakefulness, rapid-eye-movement (REM) sleep and non-REM (NREM) sleep using only EEG and EOG. Most sleep events, which define the sleep stages, are reduced with age. This is addressed by focusing on the amplitude of the clinical EEG bands...

  5. Automatic Mapping Of Large Signal Processing Systems To A Parallel Machine

    Science.gov (United States)

    Printz, Harry; Kung, H. T.; Mummert, Todd; Scherer, Paul M.

    1989-12-01

    Since the spring of 1988, Carnegie Mellon University and the Naval Air Development Center have been working together to implement several large signal processing systems on the Warp parallel computer. In the course of this work, we have developed a prototype of a software tool that can automatically and efficiently map signal processing systems to distributed-memory parallel machines, such as Warp. We have used this tool to produce Warp implementations of small test systems. The automatically generated programs compare favorably with hand-crafted code. We believe this tool will be a significant aid in the creation of high speed signal processing systems. We assume that signal processing systems have the following characteristics: •They can be described by directed graphs of computational tasks; these graphs may contain thousands of task vertices. • Some tasks can be parallelized in a systolic or data-partitioned manner, while others cannot be parallelized at all. • The side effects of each task, if any, are limited to changes in local variables. • Each task has a data-independent execution time bound, which may be expressed as a function of the way it is parallelized, and the number of processors it is mapped to. In this paper we describe techniques to automatically map such systems to Warp-like parallel machines. We identify and address key issues in gracefully combining different parallel programming styles, in allocating processor, memory and communication bandwidth, and in generating and scheduling efficient parallel code. When iWarp, the VLSI version of the Warp machine, becomes available in 1990, we will extend this tool to generate efficient code for very large applications, which may require as many as 3000 iWarp processors, with an aggregate peak performance of 60 gigaflops.

  6. MO-F-CAMPUS-J-02: Automatic Recognition of Patient Treatment Site in Portal Images Using Machine Learning

    Energy Technology Data Exchange (ETDEWEB)

    Chang, X; Yang, D [Washington University in St Louis, St Louis, MO (United States)

    2015-06-15

    Purpose: To investigate the method to automatically recognize the treatment site in the X-Ray portal images. It could be useful to detect potential treatment errors, and to provide guidance to sequential tasks, e.g. automatically verify the patient daily setup. Methods: The portal images were exported from MOSAIQ as DICOM files, and were 1) processed with a threshold based intensity transformation algorithm to enhance contrast, and 2) where then down-sampled (from 1024×768 to 128×96) by using bi-cubic interpolation algorithm. An appearance-based vector space model (VSM) was used to rearrange the images into vectors. A principal component analysis (PCA) method was used to reduce the vector dimensions. A multi-class support vector machine (SVM), with radial basis function kernel, was used to build the treatment site recognition models. These models were then used to recognize the treatment sites in the portal image. Portal images of 120 patients were included in the study. The images were selected to cover six treatment sites: brain, head and neck, breast, lung, abdomen and pelvis. Each site had images of the twenty patients. Cross-validation experiments were performed to evaluate the performance. Results: MATLAB image processing Toolbox and scikit-learn (a machine learning library in python) were used to implement the proposed method. The average accuracies using the AP and RT images separately were 95% and 94% respectively. The average accuracy using AP and RT images together was 98%. Computation time was ∼0.16 seconds per patient with AP or RT image, ∼0.33 seconds per patient with both of AP and RT images. Conclusion: The proposed method of treatment site recognition is efficient and accurate. It is not sensitive to the differences of image intensity, size and positions of patients in the portal images. It could be useful for the patient safety assurance. The work was partially supported by a research grant from Varian Medical System.

  7. Development of Full Automatic External Welding Machine for Annular Welds of Pipeline

    Institute of Scientific and Technical Information of China (English)

    FengBiao; LiChunrun; TangDeyu; ZhangJianhu; ZhangTianli

    2004-01-01

    To meet the demands of rapid development of pipeline constructions in China, a complete set of full automatic external welding machine for annular welds of pipeline and welding procedure have been developed thereof. The system has been applied in the “West-East Pipeline Project” and its performance is proven. With this welding machine the welding parameters can be either preset before or adjusted in real time during the welding process, which avoids the blemishes of same type domestic and international products. Thus it is best propitious to in-situ construction conditions and workers' technical level in China. In this article the development of mechanical and control systems of this product is introduced and typical welding procedure parameters are provided.

  8. Transducer-actuator systems and methods for performing on-machine measurements and automatic part alignment

    Science.gov (United States)

    Barkman, William E.; Dow, Thomas A.; Garrard, Kenneth P.; Marston, Zachary

    2016-07-12

    Systems and methods for performing on-machine measurements and automatic part alignment, including: a measurement component operable for determining the position of a part on a machine; and an actuation component operable for adjusting the position of the part by contacting the part with a predetermined force responsive to the determined position of the part. The measurement component consists of a transducer. The actuation component consists of a linear actuator. Optionally, the measurement component and the actuation component consist of a single linear actuator operable for contacting the part with a first lighter force for determining the position of the part and with a second harder force for adjusting the position of the part. The actuation component is utilized in a substantially horizontal configuration and the effects of gravitational drop of the part are accounted for in the force applied and the timing of the contact.

  9. Comparative analysis of automatic approaches to building detection from multi-source aerial data

    NARCIS (Netherlands)

    Frontoni, E.; Khoshelham, K.; Nardinocchi, C.; Nedkov, S.; Zingaretti, P.

    2008-01-01

    Automatic building detection has been a hot topic since the early 1990’s. Early approaches were based on a single aerial image. Detecting buildings is a difficult task so it can be more effective when multiple sources of information are obtained and fused. The objective of this paper is to provide a

  10. Model design and simulation of automatic sorting machine using proximity sensor

    Directory of Open Access Journals (Sweden)

    Bankole I. Oladapo

    2016-09-01

    Full Text Available The automatic sorting system has been reported to be complex and a global problem. This is because of the inability of sorting machines to incorporate flexibility in their design concept. This research therefore designed and developed an automated sorting object of a conveyor belt. The developed automated sorting machine is able to incorporate flexibility and separate species of non-ferrous metal objects and at the same time move objects automatically to the basket as defined by the regulation of the Programmable Logic Controllers (PLC with a capacitive proximity sensor to detect a value range of objects. The result obtained shows that plastic, wood, and steel were sorted into their respective and correct position with an average, sorting, time of 9.903 s, 14.072 s and 18.648 s respectively. The proposed developed model of this research could be adopted at any institution or industries, whose practices are based on mechatronics engineering systems. This is to guide the industrial sector in sorting of object and teaching aid to institutions and hence produce the list of classified materials according to the enabled sorting program commands.

  11. Building an Image-Based System to automatically Score psoriasis

    DEFF Research Database (Denmark)

    G{'o}mez, D. Delgado; Carstensen, Jens Michael; Ersbøll, Bjarne Kjær

    2003-01-01

    the images. The system is tested on patients with the dermatological disease psoriasis. Temporal series of images are taken for each patient and the lesions are automatically extracted. Results indicate that to the images obtained are a good source for obtaining derived variables to track the lesion....

  12. Automatically designed machine vision system for the localization of CCA transverse section in ultrasound images.

    Science.gov (United States)

    Benes, Radek; Karasek, Jan; Burget, Radim; Riha, Kamil

    2013-01-01

    The common carotid artery (CCA) is a source of important information that doctors can use to evaluate the patients' health. The most often measured parameters are arterial stiffness, lumen diameter, wall thickness, and other parameters where variation with time is usually measured. Unfortunately, the manual measurement of dynamic parameters of the CCA is time consuming, and therefore, for practical reasons, the only alternative is automatic approach. The initial localization of artery is important and must precede the main measurement. This article describes a novel method for the localization of CCA in the transverse section of a B-mode ultrasound image. The novel method was designed automatically by using the grammar-guided genetic programming (GGGP). The GGGP searches for the best possible combination of simple image processing tasks (independent building blocks). The best possible solution is represented with the highest detection precision. The method is tested on a validation database of CCA images that was specially created for this purpose and released for use by other scientists. The resulting success of the proposed solution was 82.7%, which exceeded the current state of the art by 4% while the computation time requirements were acceptable. The paper also describes an automatic method that was used in designing the proposed solution. This automatic method provides a universal approach to designing complex solutions with the support of evolutionary algorithms.

  13. Raw Milk Hygiene at Local Markets and Automatic Milk Dispenser Machines

    Directory of Open Access Journals (Sweden)

    Gheorghe Şteţca

    2014-11-01

    Full Text Available In Romania, direct sales of raw milk to the final consumer is developed based on the local regulations. These are in accordance to European Regulation that must meet some quality requirements for the total number of germs, somatic cells, without antibiotics, coming from healthy animals who did not suffer from diseases that can be transmitted to humans through milk. Raw milk is sold in Romania in local markets and by automatic milk dispenser machines. Based on these regulations, a study regarding the quality and security to human health of raw milk was conducted on the commercialized milk in local markets and automatic milk dispensers. During May-June 2014 samples of raw milk were collected from Cluj-Napoca local markets and automatic milk dispensers. All samples were kept to refrigeration conditions until the moment of analyze which took place at the sampling day. The following parameters were taken into account: fat content, protein, casein, lactose, nonfat dry matter, pH, milk freezing point, added water, antibiotics residues, milk urea, number of germ cells and somatic cells. All obtained results were verified by the validated methods applied. Our research can be forward conducted in order to verify the hygiene and composition of milk from the whole dairy chain. 

  14. Analysis on machine tool systems using spindle vibration monitoring for automatic tool changer

    Directory of Open Access Journals (Sweden)

    Shang-Liang Chen

    2015-12-01

    Full Text Available Recently, the intelligent systems of technology have become one of the major items in the development of machine tools. One crucial technology is the machinery status monitoring function, which is required for abnormal warnings and the improvement of cutting efficiency. During processing, the mobility act of the spindle unit determines the most frequent and important part such as automatic tool changer. The vibration detection system includes the development of hardware and software, such as vibration meter, signal acquisition card, data processing platform, and machine control program. Meanwhile, based on the difference between the mechanical configuration and the desired characteristics, it is difficult for a vibration detection system to directly choose the commercially available kits. For this reason, it was also selected as an item for self-development research, along with the exploration of a significant parametric study that is sufficient to represent the machine characteristics and states. However, we also launched the development of functional parts of the system simultaneously. Finally, we entered the conditions and the parameters generated from both the states and the characteristics into the developed system to verify its feasibility.

  15. Designing and Building an Automatic Information Retrieval System for Handling the Arabic Data

    OpenAIRE

    2005-01-01

    This paper aimed to design and build an Automatic Information Retrieval System to handle the Arabic data. Also, this paper presents some type of comparison between the retrieval results using the vector space model in two different indexing methods: the full-ward indexing and the root indexing. The proposed Automatic Information Retrieval system was implemented and built using a traditional model technique: Vector Space Model (VSM) where the cosine measure similarity was used. The output resu...

  16. PECULIARITIES OF CHOICE OF BURNER DEVICES FOR HEATING FURNACES OF MACHINE-BUILDING AND METALLURGICAL PRODUCTIONS

    Directory of Open Access Journals (Sweden)

    S. V. Korneev

    2010-01-01

    Full Text Available It is shown that the choice of recuperative burners is more reasonable for different types of heating furnaces of machine-building and metallurgical productions of little efficiency.

  17. Model of mechanism of providing of strategic firmness of machine-building enterprise

    Directory of Open Access Journals (Sweden)

    I.V. Movchan

    2011-03-01

    Full Text Available In the article is considered theoretical aspects of strategic firmness and the developed algorithmic model of mechanism providing of strategic firmness of machine-building enterprise.

  18. CERN awards "Gold CMS Award" to Savyolovsk machine-building Plant

    CERN Multimedia

    2007-01-01

    "The contribution pf Savyolovsk machine-building Plant OJSC into the international program to develop an CMS unit was recognized by the European Nuclear Research Center with "Gold Prize"for 2007. (1 small paragraph)

  19. Application of Image Servo Alignment Module Design to Automatic Laminating Machine for Touch Panel

    Directory of Open Access Journals (Sweden)

    Chung-Ming Yang

    2013-12-01

    Full Text Available For general add-on touch panels, a touch-sensitive layer is attached to the outside of LCD panel. As the touch panel has a sensitive layer, it must be aligned with the display panel very well, the laminating precision is also required. The integration of this kind of equipment is complex, and the research and development of the equipments covers many topics of system integration. It is difficult to customize the products for different sizes or functions. This research used key technologies, including different space alignment design and unmarked alignment method, to create an easily operated image servo alignment system. Stable and rapid alignment results were obtained by parametric optimization. Finally, this module was applied to the industrial automatic laminating machine in practice for alignment and lamination.

  20. Nursing care to the patient with implantable automatic fibre-removing machine

    Directory of Open Access Journals (Sweden)

    Sandra Isabel García Mora

    2011-03-01

    Full Text Available The primary prevention of the cardiac sudden death constitutes one of the main challenges of the present cardiology. The main reason for this interest comes dice by the little possibilities of surviving an extra-hospital cardiac shutdown, smaller of 20%.El implantable automatic fibre-removing machine (DAI is the most effective therapy to prevent the cardiac sudden death related to ventricular tachyarrhythmias. From the beginnings of the therapy by means of the DAI, besides the survival and the quality of life of the patients it has constituted an important reason for attention. The carrying patients present/display agreements that can have an excellent impact in their quality of life. The infirmary personnel must know the therapy the DAI, to be able to provide to the patients and their familiar surroundings the optimal cares to confront its daily life, a level of confidence and comfort derived from the positioning of a permanent electronics.

  1. Development of an automatic weld surface appearance inspection system using machine vision

    Institute of Scientific and Technical Information of China (English)

    Lin Sanbao; Fu Xibin; Fan Chenglei; Yang Chunli; Luo Lu

    2009-01-01

    In this paper, an automatic inspection system for weld surface appearance using machine vision has been developed to recognize weld surface defects such as porosities, cracks, etc. It can replace conventional manual visual inspection method, which is tedious, time-consuming, subjective, experience-depended, and sometimes biased. The system consists of a CCD camera, a self-designed annular light source, a sensor controller, a frame grabbing card, a computer and so on. After acquiring weld surface appearance images using CCD, the images are preprocessed using median filtering and a series of image enhancement algorithms. Then a dynamic threshold and morphology algorithms are applied to segment defect object. Finally, defect features information is obtained by eight neighborhoods boundary chain code algorithm. Experimental results show that the developed system is capable of inspecting most surface defects such as porosities, cracks with high reliability and accuracy.

  2. Active Shapes for Automatic 3D Modeling of Buildings

    NARCIS (Netherlands)

    Sirmacek, B.; Lindenbergh, R.C.

    2015-01-01

    Recent technological developments help us to acquire high quality 3D measurements of our urban environment. However, these measurements, which come as point clouds or Digital Surface Models (DSM), do not directly give 3D geometrical models of buildings. In addition to that, they are not suitable for

  3. Automatic Energy Control And Monitoring System For Building

    Directory of Open Access Journals (Sweden)

    Hnin Nu Thaung

    2015-08-01

    Full Text Available The use of smart home technology in the home or building offers significant potential for energy savings. In this paper an energy management system based on wireless sensor networks. The proposed system is composed of two main components a wireless sensor network and monitoring terminal. Wireless sensors are used for sensing and transmitting electricity data and remote monitoring and control of appliances are provided to users through computer. The system enables users to save energy by monitoring and controlling appliances through terminal. This paper gives an overview of sensor technology and wireless networks in the development of an intelligent energy management system for buildings. This technology has ample potential to change the way live and work. ZigBee is used as a communication medium in building intelligent energy management system in this paper. From the prototype setup it is shown that ZigBee is a suitable technology to be adopted as the communication infrastructure in energy management system for buildings .The proposed system can be installed and maintained in residential environments with ease.

  4. Semi-Automatic Modelling of Building FAÇADES with Shape Grammars Using Historic Building Information Modelling

    Science.gov (United States)

    Dore, C.; Murphy, M.

    2013-02-01

    This paper outlines a new approach for generating digital heritage models from laser scan or photogrammetric data using Historic Building Information Modelling (HBIM). HBIM is a plug-in for Building Information Modelling (BIM) software that uses parametric library objects and procedural modelling techniques to automate the modelling stage. The HBIM process involves a reverse engineering solution whereby parametric interactive objects representing architectural elements are mapped onto laser scan or photogrammetric survey data. A library of parametric architectural objects has been designed from historic manuscripts and architectural pattern books. These parametric objects were built using an embedded programming language within the ArchiCAD BIM software called Geometric Description Language (GDL). Procedural modelling techniques have been implemented with the same language to create a parametric building façade which automatically combines library objects based on architectural rules and proportions. Different configurations of the façade are controlled by user parameter adjustment. The automatically positioned elements of the façade can be subsequently refined using graphical editing while overlaying the model with orthographic imagery. Along with this semi-automatic method for generating façade models, manual plotting of library objects can also be used to generate a BIM model from survey data. After the 3D model has been completed conservation documents such as plans, sections, elevations and 3D views can be automatically generated for conservation projects.

  5. An efficient scheme for automatic web pages categorization using the support vector machine

    Science.gov (United States)

    Bhalla, Vinod Kumar; Kumar, Neeraj

    2016-07-01

    In the past few years, with an evolution of the Internet and related technologies, the number of the Internet users grows exponentially. These users demand access to relevant web pages from the Internet within fraction of seconds. To achieve this goal, there is a requirement of an efficient categorization of web page contents. Manual categorization of these billions of web pages to achieve high accuracy is a challenging task. Most of the existing techniques reported in the literature are semi-automatic. Using these techniques, higher level of accuracy cannot be achieved. To achieve these goals, this paper proposes an automatic web pages categorization into the domain category. The proposed scheme is based on the identification of specific and relevant features of the web pages. In the proposed scheme, first extraction and evaluation of features are done followed by filtering the feature set for categorization of domain web pages. A feature extraction tool based on the HTML document object model of the web page is developed in the proposed scheme. Feature extraction and weight assignment are based on the collection of domain-specific keyword list developed by considering various domain pages. Moreover, the keyword list is reduced on the basis of ids of keywords in keyword list. Also, stemming of keywords and tag text is done to achieve a higher accuracy. An extensive feature set is generated to develop a robust classification technique. The proposed scheme was evaluated using a machine learning method in combination with feature extraction and statistical analysis using support vector machine kernel as the classification tool. The results obtained confirm the effectiveness of the proposed scheme in terms of its accuracy in different categories of web pages.

  6. Alan Turing's Automatic Computing Engine The Master Codebreaker's Struggle to build the Modern Computer

    CERN Document Server

    Copeland, B Jack

    2005-01-01

    The mathematical genius Alan Turing (1912-1954) was one of the greatest scientists and thinkers of the 20th century. Now well known for his crucial wartime role in breaking the ENIGMA code, he was the first to conceive of the fundamental principle of the modern computer-the idea of controlling a computing machine's operations by means of a program of coded instructions, stored in the machine's 'memory'. In 1945 Turing drew up his revolutionary design for an electronic computingmachine-his Automatic Computing Engine ('ACE'). A pilot model of the ACE ran its first program in 1950 and the product

  7. Optimization of man-machine roll allocation in automatic systems; Jidoka system ni okeru hito to kikai no yakuwari buntan no saitekika

    Energy Technology Data Exchange (ETDEWEB)

    Yamasaki, H. [Yokokawa Electric Corp., Tokyo (Japan). Research and Development Lab.

    1996-08-10

    Bearing reliability and safety of automatic systems in mind, man-machine roll allocation in the operation of facilities is examined, and the optimal roll allocation is proposed. The outline of the method for man-machine roll allocation is given in process instrumentation system, robotized assembly plant, railroad operation control system, and passenger airplane operation control system. The types of man-machine roll allocation in automatic system is divided into normal and emergency cases. Improvement in the total reliability of man-machine system can be expected by man-machine mutual complementary roll allocation. The core of the intelligent support system for emergency is the growing knowledge base, and the system performs intelligent support automatically or with the support of human in an emergency. For smooth man-machine information interchange at man`s own will, logical difference between man and machine must be adjusted in the man-machine interface. 8 refs., 2 tabs.

  8. Building an Image-Based System to automatically Score psoriasis

    DEFF Research Database (Denmark)

    G{'o}mez, D. Delgado; Carstensen, Jens Michael; Ersbøll, Bjarne Kjær

    2003-01-01

    Nowadays the medical tracking of dermatological diseases is imprecise. The main reason is the lack of suitable objective methods to evaluate the lesion. The severity of the disease is scored by doctors just through their visual examination. In this work, a system to take accurate images...... of dermatological lesions has been developed. Mathematical methods can be applied to these images to obtain values that summarize the lesion and help to track its evolution. The system is composed of two elements. A precise image acquisition equipment and a statistical procedure to extract the lesions from...... the images. The system is tested on patients with the dermatological disease psoriasis. Temporal series of images are taken for each patient and the lesions are automatically extracted. Results indicate that to the images obtained are a good source for obtaining derived variables to track the lesion....

  9. A support vector machine approach to the automatic identification of fluorescence spectra emitted by biological agents

    Science.gov (United States)

    Gelfusa, M.; Murari, A.; Lungaroni, M.; Malizia, A.; Parracino, S.; Peluso, E.; Cenciarelli, O.; Carestia, M.; Pizzoferrato, R.; Vega, J.; Gaudio, P.

    2016-10-01

    Two of the major new concerns of modern societies are biosecurity and biosafety. Several biological agents (BAs) such as toxins, bacteria, viruses, fungi and parasites are able to cause damage to living systems either humans, animals or plants. Optical techniques, in particular LIght Detection And Ranging (LIDAR), based on the transmission of laser pulses and analysis of the return signals, can be successfully applied to monitoring the release of biological agents into the atmosphere. It is well known that most of biological agents tend to emit specific fluorescence spectra, which in principle allow their detection and identification, if excited by light of the appropriate wavelength. For these reasons, the detection of the UVLight Induced Fluorescence (UV-LIF) emitted by BAs is particularly promising. On the other hand, the stand-off detection of BAs poses a series of challenging issues; one of the most severe is the automatic discrimination between various agents which emit very similar fluorescence spectra. In this paper, a new data analysis method, based on a combination of advanced filtering techniques and Support Vector Machines, is described. The proposed approach covers all the aspects of the data analysis process, from filtering and denoising to automatic recognition of the agents. A systematic series of numerical tests has been performed to assess the potential and limits of the proposed methodology. The first investigations of experimental data have already given very encouraging results.

  10. Automatic detection and counting of cattle in UAV imagery based on machine vision technology (Conference Presentation)

    Science.gov (United States)

    Rahnemoonfar, Maryam; Foster, Jamie; Starek, Michael J.

    2017-05-01

    Beef production is the main agricultural industry in Texas, and livestock are managed in pasture and rangeland which are usually huge in size, and are not easily accessible by vehicles. The current research method for livestock location identification and counting is visual observation which is very time consuming and costly. For animals on large tracts of land, manned aircraft may be necessary to count animals which is noisy and disturbs the animals, and may introduce a source of error in counts. Such manual approaches are expensive, slow and labor intensive. In this paper we study the combination of small unmanned aerial vehicle (sUAV) and machine vision technology as a valuable solution to manual animal surveying. A fixed-wing UAV fitted with GPS and digital RGB camera for photogrammetry was flown at the Welder Wildlife Foundation in Sinton, TX. Over 600 acres were flown with four UAS flights and individual photographs used to develop orthomosaic imagery. To detect animals in UAV imagery, a fully automatic technique was developed based on spatial and spectral characteristics of objects. This automatic technique can even detect small animals that are partially occluded by bushes. Experimental results in comparison to ground-truth show the effectiveness of our algorithm.

  11. Robust Machine Learning-Based Correction on Automatic Segmentation of the Cerebellum and Brainstem.

    Science.gov (United States)

    Wang, Jun Yi; Ngo, Michael M; Hessl, David; Hagerman, Randi J; Rivera, Susan M

    2016-01-01

    Automated segmentation is a useful method for studying large brain structures such as the cerebellum and brainstem. However, automated segmentation may lead to inaccuracy and/or undesirable boundary. The goal of the present study was to investigate whether SegAdapter, a machine learning-based method, is useful for automatically correcting large segmentation errors and disagreement in anatomical definition. We further assessed the robustness of the method in handling size of training set, differences in head coil usage, and amount of brain atrophy. High resolution T1-weighted images were acquired from 30 healthy controls scanned with either an 8-channel or 32-channel head coil. Ten patients, who suffered from brain atrophy because of fragile X-associated tremor/ataxia syndrome, were scanned using the 32-channel head coil. The initial segmentations of the cerebellum and brainstem were generated automatically using Freesurfer. Subsequently, Freesurfer's segmentations were both manually corrected to serve as the gold standard and automatically corrected by SegAdapter. Using only 5 scans in the training set, spatial overlap with manual segmentation in Dice coefficient improved significantly from 0.956 (for Freesurfer segmentation) to 0.978 (for SegAdapter-corrected segmentation) for the cerebellum and from 0.821 to 0.954 for the brainstem. Reducing the training set size to 2 scans only decreased the Dice coefficient ≤0.002 for the cerebellum and ≤ 0.005 for the brainstem compared to the use of training set size of 5 scans in corrective learning. The method was also robust in handling differences between the training set and the test set in head coil usage and the amount of brain atrophy, which reduced spatial overlap only by segmentation and corrective learning provides a valuable method for accurate and efficient segmentation of the cerebellum and brainstem, particularly in large-scale neuroimaging studies, and potentially for segmenting other neural regions as

  12. Research on automatic inspection system for defects on precise optical surface based on machine vision

    Institute of Scientific and Technical Information of China (English)

    WANG Xue; XIE Zhi-jiang

    2006-01-01

    In manufacture of precise optical products, it is important to inspect and classify the potential defects existing on the products' surfaces after precise machining in order to obtain high quality in both functionality and aesthetics. The existing methods for detecting and classifying defects all are low accuracy or efficiency or high cost in inspection process. In this paper, a new inspection system based on machine vision has been introduced, which uses automatic focusing and image mosaic technologies to rapidly acquire distinct surface image, and employs Case-Based Reasoning(CBR)method in defects classification. A modificatory fuzzy similarity algorithm in CBR has been adopted for more quick and robust need of pattern recognition in practice inspection. Experiments show that the system can inspect surface diameter of 500mm in half an hour with resolving power of 0.8μm diameter according to digs or 0.5μm transverse width according to scratches. The proposed inspection principles and methods not only have meet manufacturing requirements of precise optical products, but also have great potential applications in other fields of precise surface inspection.

  13. A Novel Approach to Automatic Road-Accident Detection using Machine Vision Techniques

    Directory of Open Access Journals (Sweden)

    Vaishnavi Ravindran

    2016-11-01

    Full Text Available In this paper, a novel approach for automatic road accident detection is proposed. The approach is based on detecting damaged vehicles from footage received from surveillance cameras installed in roads and highways which would indicate the occurrence of a road accident. Detection of damaged cars falls under the category of object detection in the field of machine vision and has not been achieved so far. In this paper, a new supervised learning method comprising of three different stages which are combined into a single framework in a serial manner which successfully detects damaged cars from static images is proposed. The three stages use five support vector machines trained with Histogram of gradients (HOG and Gray level co-occurrence matrix (GLCM features. Since damaged car detection has not been attempted, two datasets of damaged cars - Damaged Cars Dataset-1 (DCD-1 and Damaged Cars Dataset-2 (DCD-2 – was compiled for public release. Experiments were conducted on DCD-1 and DCD-2 which differ based on the distance at which the image is captured and the quality of the images. The accuracy of the system is 81.83% for DCD-1 captured at approximately 2 meters with good quality and 64.37% for DCD-2 captured at approximately 20 meters with poor quality.

  14. Machines a Comprendre la Parole: Methodologie et Bilan de Recherche (Automatic Speech Recognition: Methodology and the State of the Research)

    Science.gov (United States)

    Haton, Jean-Pierre

    1974-01-01

    Still no decisive result has been achieved in the automatic machine recognition of sentences of a natural language. Current research concentrates on developing algorithms for syntactic and semantic analysis. It is obvious that clues from all levels of perception have to be taken into account if a long term solution is ever to be found. (Author/MSE)

  15. AUTOMATIC EXTRACTION OF BUILDING ROOF PLANES FROM AIRBORNE LIDAR DATA APPLYING AN EXTENDED 3D RANDOMIZED HOUGH TRANSFORM

    OpenAIRE

    Maltezos, Evangelos; Ioannidis, Charalabos

    2016-01-01

    This study aims to extract automatically building roof planes from airborne LIDAR data applying an extended 3D Randomized Hough Transform (RHT). The proposed methodology consists of three main steps, namely detection of building points, plane detection and refinement. For the detection of the building points, the vegetative areas are first segmented from the scene content and the bare earth is extracted afterwards. The automatic plane detection of each building is performed applying extension...

  16. AUTOMATIC URBAN ILLEGAL BUILDING DETECTION USING MULTI-TEMPORAL SATELLITE IMAGES AND GEOSPATIAL INFORMATION SYSTEMS

    Directory of Open Access Journals (Sweden)

    N. Khalili Moghadam

    2015-12-01

    Full Text Available With the unprecedented growth of urban population and urban development, we are faced with the growing trend of illegal building (IB construction. Field visit, as the currently used method of IB detection, is time and man power consuming, in addition to its high cost. Therefore, an automatic IB detection is required. Acquiring multi-temporal satellite images and using image processing techniques for automatic change detection is one of the optimum methods which can be used in IB monitoring. In this research an automatic method of IB detection has been proposed. Two-temporal panchromatic satellite images of IRS-P5 of the study area in a part of Tehran, the city map and an updated spatial database of existing buildings were used to detect the suspected IBs. In the pre-processing step, the images were geometrically and radiometrically corrected. In the next step, the changed pixels were detected using K-means clustering technique because of its quickness and less user’s intervention required. Then, all the changed pixels of each building were identified and the change percentage of each building with the standard threshold of changes was compared to detect the buildings which are under construction. Finally, the IBs were detected by checking the municipality database. The unmatched constructed buildings with municipal database will be field checked to identify the IBs. The results show that out of 343 buildings appeared in the images; only 19 buildings were detected as under construction and three of them as unlicensed buildings. Furthermore, the overall accuracies of 83%, 79% and 75% were obtained for K-means change detection, detection of under construction buildings and IBs detection, respectively.

  17. Fully automatic spray-LBL machine with monitoring the real time growth of multilayer films using Quartz Crystal Microbalance

    Directory of Open Access Journals (Sweden)

    Shiratori S.

    2013-08-01

    Full Text Available A fully automatic spray-LBL machine with monitoring the real time growth of multilayer films using Quartz Crystal Microbalance (QCM techniques was newly developed. We established fully automatic spray layer-by-layer method by precisely controlling air pressure, solution flow, and spray pattern. The movement pattern towards the substrate during solution spraying allowed fabrication of a nano-scale, flat, thin film over a wide area. Optimization of spray conditions permitted fabrication of the flat film with high and low refractive indexes, and they were piled up alternatively to constitute a one-dimensional photonic crystal with near-infrared reflection characteristics. The heat shield effect of the near-infrared reflective film was also confirmed under natural sunlight. It was demonstrated that the fabrication using the automatic spray-LBL machine and real-time QCM monitoring allows the fabrication of optical quality thin films with precise thickness.

  18. Automatic Extraction and Regularization of Building Outlines from Airborne LIDAR Point Clouds

    Science.gov (United States)

    Albers, Bastian; Kada, Martin; Wichmann, Andreas

    2016-06-01

    Building outlines are needed for various applications like urban planning, 3D city modelling and updating cadaster. Their automatic reconstruction, e.g. from airborne laser scanning data, as regularized shapes is therefore of high relevance. Today's airborne laser scanning technology can produce dense 3D point clouds with high accuracy, which makes it an eligible data source to reconstruct 2D building outlines or even 3D building models. In this paper, we propose an automatic building outline extraction and regularization method that implements a trade-off between enforcing strict shape restriction and allowing flexible angles using an energy minimization approach. The proposed procedure can be summarized for each building as follows: (1) an initial building outline is created from a given set of building points with the alpha shape algorithm; (2) a Hough transform is used to determine the main directions of the building and to extract line segments which are oriented accordingly; (3) the alpha shape boundary points are then repositioned to both follow these segments, but also to respect their original location, favoring long line segments and certain angles. The energy function that guides this trade-off is evaluated with the Viterbi algorithm.

  19. Automatic ultrasonic breast lesions detection using support vector machine based algorithm

    Science.gov (United States)

    Yeh, Chih-Kuang; Miao, Shan-Jung; Fan, Wei-Che; Chen, Yung-Sheng

    2007-03-01

    It is difficult to automatically detect tumors and extract lesion boundaries in ultrasound images due to the variance in shape, the interference from speckle noise, and the low contrast between objects and background. The enhancement of ultrasonic image becomes a significant task before performing lesion classification, which was usually done with manual delineation of the tumor boundaries in the previous works. In this study, a linear support vector machine (SVM) based algorithm is proposed for ultrasound breast image training and classification. Then a disk expansion algorithm is applied for automatically detecting lesions boundary. A set of sub-images including smooth and irregular boundaries in tumor objects and those in speckle-noised background are trained by the SVM algorithm to produce an optimal classification function. Based on this classification model, each pixel within an ultrasound image is classified into either object or background oriented pixel. This enhanced binary image can highlight the object and suppress the speckle noise; and it can be regarded as degraded paint character (DPC) image containing closure noise, which is well known in perceptual organization of psychology. An effective scheme of removing closure noise using iterative disk expansion method has been successfully demonstrated in our previous works. The boundary detection of ultrasonic breast lesions can be further equivalent to the removal of speckle noise. By applying the disk expansion method to the binary image, we can obtain a significant radius-based image where the radius for each pixel represents the corresponding disk covering the specific object information. Finally, a signal transmission process is used for searching the complete breast lesion region and thus the desired lesion boundary can be effectively and automatically determined. Our algorithm can be performed iteratively until all desired objects are detected. Simulations and clinical images were introduced to

  20. Evaluation of Model Recognition for Grammar-Based Automatic 3d Building Model Reconstruction

    Science.gov (United States)

    Yu, Qian; Helmholz, Petra; Belton, David

    2016-06-01

    In recent years, 3D city models are in high demand by many public and private organisations, and the steadily growing capacity in both quality and quantity are increasing demand. The quality evaluation of these 3D models is a relevant issue both from the scientific and practical points of view. In this paper, we present a method for the quality evaluation of 3D building models which are reconstructed automatically from terrestrial laser scanning (TLS) data based on an attributed building grammar. The entire evaluation process has been performed in all the three dimensions in terms of completeness and correctness of the reconstruction. Six quality measures are introduced to apply on four datasets of reconstructed building models in order to describe the quality of the automatic reconstruction, and also are assessed on their validity from the evaluation point of view.

  1. German Machine Building: A New Benchmark before World War I

    NARCIS (Netherlands)

    Fremdling, Rainer

    2009-01-01

    The figure most commonly used as benchmark for the output of machinery before WW I is based on an estimate by the Association of German Machinery Producers (VDMA). It estimated that all German firms in total had sold machines worth 2800 million Marks in 1913.Using a recently detected detailed report

  2. Support Vector Machine Model for Automatic Detection and Classification of Seismic Events

    Science.gov (United States)

    Barros, Vesna; Barros, Lucas

    2016-04-01

    The automated processing of multiple seismic signals to detect, localize and classify seismic events is a central tool in both natural hazards monitoring and nuclear treaty verification. However, false detections and missed detections caused by station noise and incorrect classification of arrivals are still an issue and the events are often unclassified or poorly classified. Thus, machine learning techniques can be used in automatic processing for classifying the huge database of seismic recordings and provide more confidence in the final output. Applied in the context of the International Monitoring System (IMS) - a global sensor network developed for the Comprehensive Nuclear-Test-Ban Treaty (CTBT) - we propose a fully automatic method for seismic event detection and classification based on a supervised pattern recognition technique called the Support Vector Machine (SVM). According to Kortström et al., 2015, the advantages of using SVM are handleability of large number of features and effectiveness in high dimensional spaces. Our objective is to detect seismic events from one IMS seismic station located in an area of high seismicity and mining activity and classify them as earthquakes or quarry blasts. It is expected to create a flexible and easily adjustable SVM method that can be applied in different regions and datasets. Taken a step further, accurate results for seismic stations could lead to a modification of the model and its parameters to make it applicable to other waveform technologies used to monitor nuclear explosions such as infrasound and hydroacoustic waveforms. As an authorized user, we have direct access to all IMS data and bulletins through a secure signatory account. A set of significant seismic waveforms containing different types of events (e.g. earthquake, quarry blasts) and noise is being analysed to train the model and learn the typical pattern of the signal from these events. Moreover, comparing the performance of the support

  3. Automatic generation of smart earthquake-resistant building system: Hybrid system of base-isolation and building-connection.

    Science.gov (United States)

    Kasagi, M; Fujita, K; Tsuji, M; Takewaki, I

    2016-02-01

    A base-isolated building may sometimes exhibit an undesirable large response to a long-duration, long-period earthquake ground motion and a connected building system without base-isolation may show a large response to a near-fault (rather high-frequency) earthquake ground motion. To overcome both deficiencies, a new hybrid control system of base-isolation and building-connection is proposed and investigated. In this new hybrid building system, a base-isolated building is connected to a stiffer free wall with oil dampers. It has been demonstrated in a preliminary research that the proposed hybrid system is effective both for near-fault (rather high-frequency) and long-duration, long-period earthquake ground motions and has sufficient redundancy and robustness for a broad range of earthquake ground motions.An automatic generation algorithm of this kind of smart structures of base-isolation and building-connection hybrid systems is presented in this paper. It is shown that, while the proposed algorithm does not work well in a building without the connecting-damper system, it works well in the proposed smart hybrid system with the connecting damper system.

  4. Automatic generation of smart earthquake-resistant building system: Hybrid system of base-isolation and building-connection

    Directory of Open Access Journals (Sweden)

    M. Kasagi

    2016-02-01

    Full Text Available A base-isolated building may sometimes exhibit an undesirable large response to a long-duration, long-period earthquake ground motion and a connected building system without base-isolation may show a large response to a near-fault (rather high-frequency earthquake ground motion. To overcome both deficiencies, a new hybrid control system of base-isolation and building-connection is proposed and investigated. In this new hybrid building system, a base-isolated building is connected to a stiffer free wall with oil dampers. It has been demonstrated in a preliminary research that the proposed hybrid system is effective both for near-fault (rather high-frequency and long-duration, long-period earthquake ground motions and has sufficient redundancy and robustness for a broad range of earthquake ground motions.An automatic generation algorithm of this kind of smart structures of base-isolation and building-connection hybrid systems is presented in this paper. It is shown that, while the proposed algorithm does not work well in a building without the connecting-damper system, it works well in the proposed smart hybrid system with the connecting damper system.

  5. Robust Machine Learning-Based Correction on Automatic Segmentation of the Cerebellum and Brainstem.

    Directory of Open Access Journals (Sweden)

    Jun Yi Wang

    Full Text Available Automated segmentation is a useful method for studying large brain structures such as the cerebellum and brainstem. However, automated segmentation may lead to inaccuracy and/or undesirable boundary. The goal of the present study was to investigate whether SegAdapter, a machine learning-based method, is useful for automatically correcting large segmentation errors and disagreement in anatomical definition. We further assessed the robustness of the method in handling size of training set, differences in head coil usage, and amount of brain atrophy. High resolution T1-weighted images were acquired from 30 healthy controls scanned with either an 8-channel or 32-channel head coil. Ten patients, who suffered from brain atrophy because of fragile X-associated tremor/ataxia syndrome, were scanned using the 32-channel head coil. The initial segmentations of the cerebellum and brainstem were generated automatically using Freesurfer. Subsequently, Freesurfer's segmentations were both manually corrected to serve as the gold standard and automatically corrected by SegAdapter. Using only 5 scans in the training set, spatial overlap with manual segmentation in Dice coefficient improved significantly from 0.956 (for Freesurfer segmentation to 0.978 (for SegAdapter-corrected segmentation for the cerebellum and from 0.821 to 0.954 for the brainstem. Reducing the training set size to 2 scans only decreased the Dice coefficient ≤0.002 for the cerebellum and ≤ 0.005 for the brainstem compared to the use of training set size of 5 scans in corrective learning. The method was also robust in handling differences between the training set and the test set in head coil usage and the amount of brain atrophy, which reduced spatial overlap only by <0.01. These results suggest that the combination of automated segmentation and corrective learning provides a valuable method for accurate and efficient segmentation of the cerebellum and brainstem, particularly in large

  6. Automatic Assignment of Methyl-NMR Spectra of Supramolecular Machines Using Graph Theory.

    Science.gov (United States)

    Pritišanac, Iva; Degiacomi, Matteo T; Alderson, T Reid; Carneiro, Marta G; Ab, Eiso; Siegal, Gregg; Baldwin, Andrew J

    2017-07-19

    Methyl groups are powerful probes for the analysis of structure, dynamics and function of supramolecular assemblies, using both solution- and solid-state NMR. Widespread application of the methodology has been limited due to the challenges associated with assigning spectral resonances to specific locations within a biomolecule. Here, we present Methyl Assignment by Graph Matching (MAGMA), for the automatic assignment of methyl resonances. A graph matching protocol examines all possibilities for each resonance in order to determine an exact assignment that includes a complete description of any ambiguity. MAGMA gives 100% accuracy in confident assignments when tested against both synthetic data, and 9 cross-validated examples using both solution- and solid-state NMR data. We show that this remarkable accuracy enables a user to distinguish between alternative protein structures. In a drug discovery application on HSP90, we show the method can rapidly and efficiently distinguish between possible ligand binding modes. By providing an exact and robust solution to methyl resonance assignment, MAGMA can facilitate significantly accelerated studies of supramolecular machines using methyl-based NMR spectroscopy.

  7. Automatic retinal vessel classification using a Least Square-Support Vector Machine in VAMPIRE.

    Science.gov (United States)

    Relan, D; MacGillivray, T; Ballerini, L; Trucco, E

    2014-01-01

    It is important to classify retinal blood vessels into arterioles and venules for computerised analysis of the vasculature and to aid discovery of disease biomarkers. For instance, zone B is the standardised region of a retinal image utilised for the measurement of the arteriole to venule width ratio (AVR), a parameter indicative of microvascular health and systemic disease. We introduce a Least Square-Support Vector Machine (LS-SVM) classifier for the first time (to the best of our knowledge) to label automatically arterioles and venules. We use only 4 image features and consider vessels inside zone B (802 vessels from 70 fundus camera images) and in an extended zone (1,207 vessels, 70 fundus camera images). We achieve an accuracy of 94.88% and 93.96% in zone B and the extended zone, respectively, with a training set of 10 images and a testing set of 60 images. With a smaller training set of only 5 images and the same testing set we achieve an accuracy of 94.16% and 93.95%, respectively. This experiment was repeated five times by randomly choosing 10 and 5 images for the training set. Mean classification accuracy are close to the above mentioned result. We conclude that the performance of our system is very promising and outperforms most recently reported systems. Our approach requires smaller training data sets compared to others but still results in a similar or higher classification rate.

  8. Design of the automatic coconut husking machine%椰子自动剥衣机的设计

    Institute of Scientific and Technical Information of China (English)

    肖仁鹏; 马鑫; 刘四新; 樊军庆

    2012-01-01

    Designed 'in automatic coconut husking machine, making the coconut processing automated, reducing ihe costs, improving the production efficiency, and reducing ihc incidents of staff occurred.%设计一种椰子自动剥衣机,使椰子加工生产时的剥衣工序实现自动化,可降低成本,提高生产效率同时减少人员伤残事故的发生.

  9. An improved automatic detection method for earthquake-collapsed buildings from ADS40 image

    Institute of Scientific and Technical Information of China (English)

    GUO HuaDong; LU LinLin; MA JianWen; PESARESI Martino; YUAN FangYan

    2009-01-01

    Earthquake-collapsed building identification is important in earthquake damage assessment and is evidence for mapping seismic intensity. After the May 12th Wenchuan major earthquake occurred,experts from CEODE and IPSC collaborated to make a rapid earthquake damage assessment. A crucial task was to identify collapsed buildings from ADS40 images in the earthquake region. The difficulty was to differentiate collapsed buildings from concrete bridges,dry gravels,and landslide-induced rolling stones since they had a similar gray level range in the image. Based on the IPSC method,an improved automatic identification technique was developed and tested in the study area,a portion of Beichuan County. Final results showed that the technique's accuracy was over 95%. Procedures and results of this experiment are presented in this article. Theory of this technique indicates that it could be applied to collapsed building identification caused by other disasters.

  10. Automatic Generation of Structural Building Descriptions from 3D Point Cloud Scans

    DEFF Research Database (Denmark)

    Ochmann, Sebastian; Vock, Richard; Wessel, Raoul

    2013-01-01

    scans to derive high-level architectural entities like rooms and doors. Starting with a registered 3D point cloud, we probabilistically model the affiliation of each measured point to a certain room in the building. We solve the resulting clustering problem using an iterative algorithm that relies......We present a new method for automatic semantic structuring of 3D point clouds representing buildings. In contrast to existing approaches which either target the outside appearance like the facade structure or rather low-level geometric structures, we focus on the building’s interior using indoor...

  11. 自动上粕机液压系统设计%Design of Hydraulic System for Automatic Loading Machine

    Institute of Scientific and Technical Information of China (English)

    高军霞

    2016-01-01

    An introduction to the main functions and design principle of the hydraulic system for a automatic loading machine was presented.Based on analyzing the action and functions of the hydraulic system of the automatic loading machine, the design scheme of the hydraulic system was put forward and the circuit design process and hydraulic system working principle were introduced in detail.By practical test, the hydraulic system whose performance can meet the demand of automatic loading machine and work stably, has the good market application prospect.%介绍自动上粕机液压系统的主要功能和设计原理。在分析自动上粕机液压系统动作和功能的基础上,提出该液压系统的设计方案,详细阐述了液压系统回路设计过程以及工作原理。经实践测试:该液压系统工作运行平稳,各项性能可满足自动上粕机作业需求,具有良好的市场应用前景。

  12. Building Better Ecological Machines: Complexity Theory and Alternative Economic Models

    Directory of Open Access Journals (Sweden)

    Jess Bier

    2016-12-01

    Full Text Available Computer models of the economy are regularly used to predict economic phenomena and set financial policy. However, the conventional macroeconomic models are currently being reimagined after they failed to foresee the current economic crisis, the outlines of which began to be understood only in 2007-2008. In this article we analyze the most prominent of this reimagining: Agent-Based models (ABMs. ABMs are an influential alternative to standard economic models, and they are one focus of complexity theory, a discipline that is a more open successor to the conventional chaos and fractal modeling of the 1990s. The modelers who create ABMs claim that their models depict markets as ecologies, and that they are more responsive than conventional models that depict markets as machines. We challenge this presentation, arguing instead that recent modeling efforts amount to the creation of models as ecological machines. Our paper aims to contribute to an understanding of the organizing metaphors of macroeconomic models, which we argue is relevant conceptually and politically, e.g., when models are used for regulatory purposes.

  13. Pharmaceutical dust exposure at pharmacies using automatic dispensing machines: a preliminary study.

    Science.gov (United States)

    Fent, Kenneth W; Durgam, Srinivas; Mueller, Charles

    2014-01-01

    Automatic dispensing machines (ADMs) used in pharmacies concentrate and dispense large volumes of pharmaceuticals, including uncoated tablets that can shed dust. We evaluated 43 employees' exposures to pharmaceutical dust at three pharmacies where ADMs were used. We used an optical particle counter to identify tasks that generated pharmaceutical dust. We collected 72 inhalable dust air samples in or near the employees' breathing zones. In addition to gravimetric analysis, our contract laboratory used internal methods involving liquid chromatography to analyze these samples for active pharmaceutical ingredients (APIs) and/or lactose, an inactive filler in tablets. We had to choose samples for these additional analyses because many methods used different extraction solvents. We selected 57 samples for analysis of lactose. We used real-time particle monitoring results, observations, and information from employees on the dustiness of pharmaceuticals to select 28 samples (including 13 samples that were analyzed for lactose) for analysis of specific APIs. Pharmaceutical dust was generated during a variety of tasks like emptying and refilling of ADM canisters. Using compressed air to clean canisters and manual count machines produced the overall highest peak number concentrations (19,000-580,000 particles/L) of smallest particles (count median aerodynamic diameter ≤ 2 μm). Employees who refilled, cleaned, or repaired ADM canisters, or hand filled prescriptions were exposed to higher median air concentrations of lactose (5.0-12 μg/m(3)) than employees who did other jobs (0.04-1.3 μg/m(3)), such as administrative/office work, labeling/packaging, and verifying prescriptions. We detected 10 APIs in air, including lisinopril, a drug prescribed for high blood pressure, levothyroxine, a drug prescribed for hypothyroidism, and methotrexate, a hazardous drug prescribed for cancer and other disorders. Three air concentrations of lisinopril (1.8-2.7 μg/m(3)) exceeded the lower

  14. Building Machines That Learn and Think Like People

    OpenAIRE

    2016-01-01

    Recent progress in artificial intelligence (AI) has renewed interest in building systems that learn and think like people. Many advances have come from using deep neural networks trained end-to-end in tasks such as object recognition, video games, and board games, achieving performance that equals or even beats humans in some respects. Despite their biological inspiration and performance achievements, these systems differ from human intelligence in crucial ways. We review progress in cognitiv...

  15. A multi-label learning based kernel automatic recommendation method for support vector machine.

    Science.gov (United States)

    Zhang, Xueying; Song, Qinbao

    2015-01-01

    Choosing an appropriate kernel is very important and critical when classifying a new problem with Support Vector Machine. So far, more attention has been paid on constructing new kernels and choosing suitable parameter values for a specific kernel function, but less on kernel selection. Furthermore, most of current kernel selection methods focus on seeking a best kernel with the highest classification accuracy via cross-validation, they are time consuming and ignore the differences among the number of support vectors and the CPU time of SVM with different kernels. Considering the tradeoff between classification success ratio and CPU time, there may be multiple kernel functions performing equally well on the same classification problem. Aiming to automatically select those appropriate kernel functions for a given data set, we propose a multi-label learning based kernel recommendation method built on the data characteristics. For each data set, the meta-knowledge data base is first created by extracting the feature vector of data characteristics and identifying the corresponding applicable kernel set. Then the kernel recommendation model is constructed on the generated meta-knowledge data base with the multi-label classification method. Finally, the appropriate kernel functions are recommended to a new data set by the recommendation model according to the characteristics of the new data set. Extensive experiments over 132 UCI benchmark data sets, with five different types of data set characteristics, eleven typical kernels (Linear, Polynomial, Radial Basis Function, Sigmoidal function, Laplace, Multiquadric, Rational Quadratic, Spherical, Spline, Wave and Circular), and five multi-label classification methods demonstrate that, compared with the existing kernel selection methods and the most widely used RBF kernel function, SVM with the kernel function recommended by our proposed method achieved the highest classification performance.

  16. A generative statistical approach to automatic 3D building roof reconstruction from laser scanning data

    Science.gov (United States)

    Huang, Hai; Brenner, Claus; Sester, Monika

    2013-05-01

    This paper presents a generative statistical approach to automatic 3D building roof reconstruction from airborne laser scanning point clouds. In previous works, bottom-up methods, e.g., points clustering, plane detection, and contour extraction, are widely used. Due to the data artefacts caused by tree clutter, reflection from windows, water features, etc., the bottom-up reconstruction in urban areas may suffer from a number of incomplete or irregular roof parts. Manually given geometric constraints are usually needed to ensure plausible results. In this work we propose an automatic process with emphasis on top-down approaches. The input point cloud is firstly pre-segmented into subzones containing a limited number of buildings to reduce the computational complexity for large urban scenes. For the building extraction and reconstruction in the subzones we propose a pure top-down statistical scheme, in which the bottom-up efforts or additional data like building footprints are no more required. Based on a predefined primitive library we conduct a generative modeling to reconstruct roof models that fit the data. Primitives are assembled into an entire roof with given rules of combination and merging. Overlaps of primitives are allowed in the assembly. The selection of roof primitives, as well as the sampling of their parameters, is driven by a variant of Markov Chain Monte Carlo technique with specified jump mechanism. Experiments are performed on data-sets of different building types (from simple houses, high-rise buildings to combined building groups) and resolutions. The results show robustness despite the data artefacts mentioned above and plausibility in reconstruction.

  17. Issues of Application of Machine Learning Models for Virtual and Real-Life Buildings

    Directory of Open Access Journals (Sweden)

    Young Min Kim

    2016-06-01

    Full Text Available The current Building Energy Performance Simulation (BEPS tools are based on first principles. For the correct use of BEPS tools, simulationists should have an in-depth understanding of building physics, numerical methods, control logics of building systems, etc. However, it takes significant time and effort to develop a first principles-based simulation model for existing buildings—mainly due to the laborious process of data gathering, uncertain inputs, model calibration, etc. Rather than resorting to an expert’s effort, a data-driven approach (so-called “inverse” approach has received growing attention for the simulation of existing buildings. This paper reports a cross-comparison of three popular machine learning models (Artificial Neural Network (ANN, Support Vector Machine (SVM, and Gaussian Process (GP for predicting a chiller’s energy consumption in a virtual and a real-life building. The predictions based on the three models are sufficiently accurate compared to the virtual and real measurements. This paper addresses the following issues for the successful development of machine learning models: reproducibility, selection of inputs, training period, outlying data obtained from the building energy management system (BEMS, and validation of the models. From the result of this comparative study, it was found that SVM has a disadvantage in computation time compared to ANN and GP. GP is the most sensitive to a training period among the three models.

  18. AUTOMATIC TOPOLOGY DERIVATION FROM IFC BUILDING MODEL FOR IN-DOOR INTELLIGENT NAVIGATION

    Directory of Open Access Journals (Sweden)

    S. J. Tang

    2015-05-01

    Full Text Available With the goal to achieve an accuracy navigation within the building environment, it is critical to explore a feasible way for building the connectivity relationships among 3D geographical features called in-building topology network. Traditional topology construction approaches for indoor space always based on 2D maps or pure geometry model, which remained information insufficient problem. Especially, an intelligent navigation for different applications depends mainly on the precise geometry and semantics of the navigation network. The trouble caused by existed topology construction approaches can be smoothed by employing IFC building model which contains detailed semantic and geometric information. In this paper, we present a method which combined a straight media axis transformation algorithm (S-MAT with IFC building model to reconstruct indoor geometric topology network. This derived topology aimed at facilitating the decision making for different in-building navigation. In this work, we describe a multi-step deviation process including semantic cleaning, walkable features extraction, Multi-Storey 2D Mapping and S-MAT implementation to automatically generate topography information from existing indoor building model data given in IFC.

  19. 本体的自动构建方法%The methods of ontology automatic building

    Institute of Scientific and Technical Information of China (English)

    解峥; 王盼卿; 彭成

    2015-01-01

    The method of information integration based on ontology is the most effective way to solve the semantic heterogeneity,but the traditional ontology construction requires a ot ofmanpower material resources. With the help of artificial intelligence technology and ealizeautomatic build of ontology, such as WordNet knowledge base will save a lot of social costs, will be the focus of the present and future aspects of building ontology research. In this paper, the mainstream in the world today paper summarizes the method of building ontology automatically, it is concluded that the future main direction of ontology automatic building technology.%基于本体的信息集成方法是解决语义异构的最有效途径,但是传统的本体构建需要大量的人力物力。借助人工智能技术和WordNet等知识库实现本体的自动构建,将节省大量的社会成本,将是现在以及未来的本体构建方面研究的重点。文中对当今世界上主流的本体自动构建方法进行归纳总结,得出未来本体自动构建技术的主要发展方向。

  20. Supercomputer Assisted Generation of Machine Learning Agents for the Calibration of Building Energy Models

    Energy Technology Data Exchange (ETDEWEB)

    Sanyal, Jibonananda [ORNL; New, Joshua Ryan [ORNL; Edwards, Richard [ORNL

    2013-01-01

    Building Energy Modeling (BEM) is an approach to model the energy usage in buildings for design and retrot pur- poses. EnergyPlus is the agship Department of Energy software that performs BEM for dierent types of buildings. The input to EnergyPlus can often extend in the order of a few thousand parameters which have to be calibrated manu- ally by an expert for realistic energy modeling. This makes it challenging and expensive thereby making building en- ergy modeling unfeasible for smaller projects. In this paper, we describe the \\Autotune" research which employs machine learning algorithms to generate agents for the dierent kinds of standard reference buildings in the U.S. building stock. The parametric space and the variety of building locations and types make this a challenging computational problem necessitating the use of supercomputers. Millions of En- ergyPlus simulations are run on supercomputers which are subsequently used to train machine learning algorithms to generate agents. These agents, once created, can then run in a fraction of the time thereby allowing cost-eective cali- bration of building models.

  1. TRENDS AND ISSUES IN OF DEVELOPMENT OF REGION MACHINE BUILDING COMPLEX

    Directory of Open Access Journals (Sweden)

    Виталий Николаевич Маковеев

    2013-04-01

    Full Text Available Transition of the Russian economy to an innovation type of development, selected by leaders of the country as a priority one, creates the need of solving number of problems. A key one is the need for large-scale renovation of the economy’s production basis, which can not be implemented without a modern machine building sector.Purpose. To analyze development of machine building complex in theVologda region against the all-Russian background, to identify common trends and challenges of the sector’s development.Methodology. Methods of system and structural analysis, comparison, differences and similarities analysis, deduction and induction were used. Official statistics, as well as the works of prominent scientists in this field, served as an information basis for the study.Results. The author conducted an analysis of basic production assets, growth rates, the financial situation, investments, levels of profitability, staffing and salary levels of employees of machine building sector of the Vologda Region and Russia. The main trends and problems of the sector development were identified. Measures that are able to change the situation were proposed.Practical implications. The research materials could be useful for regional authorities in forming industrial and innovation policy, as well as for all those interested in problems of machine building development.DOI: http://dx.doi.org/10.12731/2218-7405-2013-2-24

  2. Conception of forming of marketing strategy of development of the strictly specialized machine-building enterprises

    Directory of Open Access Journals (Sweden)

    V.J. Bytsa

    2011-10-01

    Full Text Available In the article the basic theoretical going is considered near development and realization of marketing strategy of the strictly specialized machine-building enterprises; the stages of forming of strategy are described; the complex of economic problems of realization of strategic marketing approach is exposed at the market of the special industrial to the products.

  3. Automatic 3D Extraction of Buildings, Vegetation and Roads from LIDAR Data

    Science.gov (United States)

    Bellakaout, A.; Cherkaoui, M.; Ettarid, M.; Touzani, A.

    2016-06-01

    Aerial topographic surveys using Light Detection and Ranging (LiDAR) technology collect dense and accurate information from the surface or terrain; it is becoming one of the important tools in the geosciences for studying objects and earth surface. Classification of Lidar data for extracting ground, vegetation, and buildings is a very important step needed in numerous applications such as 3D city modelling, extraction of different derived data for geographical information systems (GIS), mapping, navigation, etc... Regardless of what the scan data will be used for, an automatic process is greatly required to handle the large amount of data collected because the manual process is time consuming and very expensive. This paper is presenting an approach for automatic classification of aerial Lidar data into five groups of items: buildings, trees, roads, linear object and soil using single return Lidar and processing the point cloud without generating DEM. Topological relationship and height variation analysis is adopted to segment, preliminary, the entire point cloud preliminarily into upper and lower contours, uniform and non-uniform surface, non-uniform surfaces, linear objects, and others. This primary classification is used on the one hand to know the upper and lower part of each building in an urban scene, needed to model buildings façades; and on the other hand to extract point cloud of uniform surfaces which contain roofs, roads and ground used in the second phase of classification. A second algorithm is developed to segment the uniform surface into buildings roofs, roads and ground, the second phase of classification based on the topological relationship and height variation analysis, The proposed approach has been tested using two areas : the first is a housing complex and the second is a primary school. The proposed approach led to successful classification results of buildings, vegetation and road classes.

  4. Convective Heat Transfer Coefficients of Automatic Transmission Fluid Jets with Implications for Electric Machine Thermal Management: Preprint

    Energy Technology Data Exchange (ETDEWEB)

    Bennion, Kevin; Moreno, Gilberto

    2015-09-29

    Thermal management for electric machines (motors/ generators) is important as the automotive industry continues to transition to more electrically dominant vehicle propulsion systems. Cooling of the electric machine(s) in some electric vehicle traction drive applications is accomplished by impinging automatic transmission fluid (ATF) jets onto the machine's copper windings. In this study, we provide the results of experiments characterizing the thermal performance of ATF jets on surfaces representative of windings, using Ford's Mercon LV ATF. Experiments were carried out at various ATF temperatures and jet velocities to quantify the influence of these parameters on heat transfer coefficients. Fluid temperatures were varied from 50 degrees C to 90 degrees C to encompass potential operating temperatures within an automotive transaxle environment. The jet nozzle velocities were varied from 0.5 to 10 m/s. The experimental ATF heat transfer coefficient results provided in this report are a useful resource for understanding factors that influence the performance of ATF-based cooling systems for electric machines.

  5. RuLearn: an Open-source Toolkit for the Automatic Inference of Shallow-transfer Rules for Machine Translation

    Directory of Open Access Journals (Sweden)

    Sánchez-Cartagena Víctor M.

    2016-10-01

    Full Text Available This paper presents ruLearn, an open-source toolkit for the automatic inference of rules for shallow-transfer machine translation from scarce parallel corpora and morphological dictionaries. ruLearn will make rule-based machine translation a very appealing alternative for under-resourced language pairs because it avoids the need for human experts to handcraft transfer rules and requires, in contrast to statistical machine translation, a small amount of parallel corpora (a few hundred parallel sentences proved to be sufficient. The inference algorithm implemented by ruLearn has been recently published by the same authors in Computer Speech & Language (volume 32. It is able to produce rules whose translation quality is similar to that obtained by using hand-crafted rules. ruLearn generates rules that are ready for their use in the Apertium platform, although they can be easily adapted to other platforms. When the rules produced by ruLearn are used together with a hybridisation strategy for integrating linguistic resources from shallow-transfer rule-based machine translation into phrase-based statistical machine translation (published by the same authors in Journal of Artificial Intelligence Research, volume 55, they help to mitigate data sparseness. This paper also shows how to use ruLearn and describes its implementation.

  6. Automatic Detection of Building Points from LIDAR and Dense Image Matching Point Clouds

    Science.gov (United States)

    Maltezos, E.; Ioannidis, C.

    2015-08-01

    This study aims to detect automatically building points: (a) from LIDAR point cloud using simple techniques of filtering that enhance the geometric properties of each point, and (b) from a point cloud which is extracted applying dense image matching at high resolution colour-infrared (CIR) digital aerial imagery using the stereo method semi-global matching (SGM). At first step, the removal of the vegetation is carried out. At the LIDAR point cloud, two different methods are implemented and evaluated using initially the normals and the roughness values afterwards: (1) the proposed scan line smooth filtering and a thresholding process, and (2) a bilateral filtering and a thresholding process. For the case of the CIR point cloud, a variation of the normalized differential vegetation index (NDVI) is computed for the same purpose. Afterwards, the bare-earth is extracted using a morphological operator and removed from the rest scene so as to maintain the buildings points. The results of the extracted buildings applying each approach at an urban area in northern Greece are evaluated using an existing orthoimage as reference; also, the results are compared with the corresponding classified buildings extracted from two commercial software. Finally, in order to verify the utility and functionality of the extracted buildings points that achieved the best accuracy, the 3D models in terms of Level of Detail 1 (LoD 1) and a 3D building change detection process are indicatively performed on a sub-region of the overall scene.

  7. Automatic measurements of plasma parameters in the PUPR mirror and cusp plasma machine

    Energy Technology Data Exchange (ETDEWEB)

    Sanchez, S; Colmenares, F; Gonzalez-Lizardo, A; Leal-Quiros, E [Plasma Engineering Laboratory, Polytechnic University of Puerto Rico, San Juan, PR 00918 (Puerto Rico)

    2008-10-15

    This paper presents an ongoing effort to develop an automatic measurement system for plasma diagnostics at the Plasma Engineering Laboratory of the Polytechnic University of Puerto Rico (PUPR), along with an example of its operation. The system is intended to be used with electrostatic probes such as single and double Langmuir probes, emissive probes, ion and electron energy analyzers, etc. The automatic measurement system includes automatic positioning of the probes inside the plasma chamber, automatic voltage sweep of the probes for each position, and automatic analysis of the probe I-V characteristic. The results of measurements obtained by using this automatic measurement system during a particular experiment are shown and compared with a traditional method with satisfactory results.

  8. An Automatic Building Extraction and Regularisation Technique Using LiDAR Point Cloud Data and Orthoimage

    Directory of Open Access Journals (Sweden)

    Syed Ali Naqi Gilani

    2016-03-01

    Full Text Available The development of robust and accurate methods for automatic building detection and regularisation using multisource data continues to be a challenge due to point cloud sparsity, high spectral variability, urban objects differences, surrounding complexity, and data misalignment. To address these challenges, constraints on object’s size, height, area, and orientation are generally benefited which adversely affect the detection performance. Often the buildings either small in size, under shadows or partly occluded are ousted during elimination of superfluous objects. To overcome the limitations, a methodology is developed to extract and regularise the buildings using features from point cloud and orthoimagery. The building delineation process is carried out by identifying the candidate building regions and segmenting them into grids. Vegetation elimination, building detection and extraction of their partially occluded parts are achieved by synthesising the point cloud and image data. Finally, the detected buildings are regularised by exploiting the image lines in the building regularisation process. Detection and regularisation processes have been evaluated using the ISPRS benchmark and four Australian data sets which differ in point density (1 to 29 points/m2, building sizes, shadows, terrain, and vegetation. Results indicate that there is 83% to 93% per-area completeness with the correctness of above 95%, demonstrating the robustness of the approach. The absence of over- and many-to-many segmentation errors in the ISPRS data set indicate that the technique has higher per-object accuracy. While compared with six existing similar methods, the proposed detection and regularisation approach performs significantly better on more complex data sets (Australian in contrast to the ISPRS benchmark, where it does better or equal to the counterparts.

  9. Towards automatic lithological classification from remote sensing data using support vector machines

    Science.gov (United States)

    Yu, Le; Porwal, Alok; Holden, Eun-Jung; Dentith, Michael

    2010-05-01

    Remote sensing data can be effectively used as a mean to build geological knowledge for poorly mapped terrains. Spectral remote sensing data from space- and air-borne sensors have been widely used to geological mapping, especially in areas of high outcrop density in arid regions. However, spectral remote sensing information by itself cannot be efficiently used for a comprehensive lithological classification of an area due to (1) diagnostic spectral response of a rock within an image pixel is conditioned by several factors including the atmospheric effects, spectral and spatial resolution of the image, sub-pixel level heterogeneity in chemical and mineralogical composition of the rock, presence of soil and vegetation cover; (2) only surface information and is therefore highly sensitive to the noise due to weathering, soil cover, and vegetation. Consequently, for efficient lithological classification, spectral remote sensing data needs to be supplemented with other remote sensing datasets that provide geomorphological and subsurface geological information, such as digital topographic model (DEM) and aeromagnetic data. Each of the datasets contain significant information about geology that, in conjunction, can potentially be used for automated lithological classification using supervised machine learning algorithms. In this study, support vector machine (SVM), which is a kernel-based supervised learning method, was applied to automated lithological classification of a study area in northwestern India using remote sensing data, namely, ASTER, DEM and aeromagnetic data. Several digital image processing techniques were used to produce derivative datasets that contained enhanced information relevant to lithological discrimination. A series of SVMs (trained using k-folder cross-validation with grid search) were tested using various combinations of input datasets selected from among 50 datasets including the original 14 ASTER bands and 36 derivative datasets (including 14

  10. Designing and Building an Automatic Information Retrieval System for Handling the Arabic Data

    Directory of Open Access Journals (Sweden)

    Ibrahiem M.M. El Emary

    2005-01-01

    Full Text Available This paper aimed to design and build an Automatic Information Retrieval System to handle the Arabic data. Also, this paper presents some type of comparison between the retrieval results using the vector space model in two different indexing methods: the full-ward indexing and the root indexing. The proposed Automatic Information Retrieval system was implemented and built using a traditional model technique: Vector Space Model (VSM where the cosine measure similarity was used. The output results indicate and show that the root indexing improved the retrieval performance more than the full-ward indexing on the Arabic documents; furthermore it reduces the size of stored data and minimizes the time of system processing.

  11. A 6D CAD Model for the Automatic Assessment of Building Sustainability

    Directory of Open Access Journals (Sweden)

    Ping Yung

    2014-08-01

    Full Text Available Current building assessment methods limit themselves in their environmental impact by failing to consider the other two aspects of sustainability: the economic and the social. They tend to be complex and costly to run, and therefore are of limited value in comparing design options. This paper proposes and develops a model for the automatic assessment of a building’s sustainability life cycle with the building information modelling (BIM approach and its enabling technologies. A 6D CAD model is developed which could be used as a design aid instead of as a post-construction evaluation tool. 6D CAD includes 3D design as well as a fourth dimension (schedule, a fifth dimension (cost and a sixth dimension (sustainability. The model can automatically derive quantities (5D, calculate economic (5D and 6D, environmental and social impacts (6D, and evaluate the sustainability performance of alternative design options. The sustainability assessment covers the life cycle stages of a building, namely material production, construction, operation, maintenance, demolition and disposal.

  12. Machine learning based sample extraction for automatic speech recognition using dialectal Assamese speech.

    Science.gov (United States)

    Agarwalla, Swapna; Sarma, Kandarpa Kumar

    2016-06-01

    Automatic Speaker Recognition (ASR) and related issues are continuously evolving as inseparable elements of Human Computer Interaction (HCI). With assimilation of emerging concepts like big data and Internet of Things (IoT) as extended elements of HCI, ASR techniques are found to be passing through a paradigm shift. Oflate, learning based techniques have started to receive greater attention from research communities related to ASR owing to the fact that former possess natural ability to mimic biological behavior and that way aids ASR modeling and processing. The current learning based ASR techniques are found to be evolving further with incorporation of big data, IoT like concepts. Here, in this paper, we report certain approaches based on machine learning (ML) used for extraction of relevant samples from big data space and apply them for ASR using certain soft computing techniques for Assamese speech with dialectal variations. A class of ML techniques comprising of the basic Artificial Neural Network (ANN) in feedforward (FF) and Deep Neural Network (DNN) forms using raw speech, extracted features and frequency domain forms are considered. The Multi Layer Perceptron (MLP) is configured with inputs in several forms to learn class information obtained using clustering and manual labeling. DNNs are also used to extract specific sentence types. Initially, from a large storage, relevant samples are selected and assimilated. Next, a few conventional methods are used for feature extraction of a few selected types. The features comprise of both spectral and prosodic types. These are applied to Recurrent Neural Network (RNN) and Fully Focused Time Delay Neural Network (FFTDNN) structures to evaluate their performance in recognizing mood, dialect, speaker and gender variations in dialectal Assamese speech. The system is tested under several background noise conditions by considering the recognition rates (obtained using confusion matrices and manually) and computation time

  13. Improving the Accuracy of Automatic Detections at Seismic Stations via Machine Learning

    Science.gov (United States)

    Riggelsen, Carsten; Ohrnberger, Matthias

    2010-05-01

    We present a Machine Learning approach aiming for improving the accuracy of automatic detections of noise and signal at 3-component seismic stations. Using supervised learning in conjunction with the multivariate framework of Dynamic Bayesian Networks (DBNs) we make use of historical data obtained from the LEB bulletin to train a classifier to capture the intrinsic characteristics of signal and noise patterns appearing in seismic data streams. On a per station basis this yields generative statistical models that essentially summarize and generalize the information implicitly contained in the LEB allowing for classifying future an previously unseen seismic data of the same kind. Also, the system provides a numerical value reflecting the classification confidence potentially aiding the analyst is correcting or identifying events that are non-typical. The system has the potential for being implemented in real time: both feature computation/extraction as well as classification work on data segments/windows and seismic patterns of varying length, e.g., 12 sec. Various features are considered including spectral features, polarization information and statistical moments and moment ratios. All features are derived from a time-frequency-(amplitude) decomposition of the raw waveform data for each component, taking the 6 frequency bands currently in use at IDC into account. These different feature sets give rise to different DBN structures (model-feature scenarios) that probabilistically relate the features to each other depending on empirical observations and physical knowledge available. 1 week of waveform data is considered for training both the signal and noise classes. The performance of the classifier is measured on a separate test set from the same week of data but also on a 1-month data set, where 4 weeks of data is distributed over a one year period. In the system evaluation both a static approach as well as a sliding-window approach is taken. Binary classification

  14. Machining of Multi axis NC Machine tool based on PowerMILL Automatic Programming%基于PowerMILL自动编程的多轴数控机床加工

    Institute of Scientific and Technical Information of China (English)

    刘敏

    2016-01-01

    It introduces the automatic programming technology and the application of multi axis CNC machining automatic programming technology. Taking the impeller model as an example, It uses PowerMILL for automatic programming, and the parts for CNC machining. Finally, the automatic programming technology can improve the efficiency of multi axis machining.%本文介绍了自动编程技术的产生,阐述了多轴数控机床加工时自动编程技术的应用。以叶轮模型为例,利用PowerMILL进行自动编程,并对零件进行数控加工。最终得出自动编程技术可以提高多轴加工的效率。

  15. Semi-Automatic Building Models and FAÇADE Texture Mapping from Mobile Phone Images

    Science.gov (United States)

    Jeong, J.; Kim, T.

    2016-06-01

    Research on 3D urban modelling has been actively carried out for a long time. Recently the need of 3D urban modelling research is increased rapidly due to improved geo-web services and popularized smart devices. Nowadays 3D urban models provided by, for example, Google Earth use aerial photos for 3D urban modelling but there are some limitations: immediate update for the change of building models is difficult, many buildings are without 3D model and texture, and large resources for maintaining and updating are inevitable. To resolve the limitations mentioned above, we propose a method for semi-automatic building modelling and façade texture mapping from mobile phone images and analyze the result of modelling with actual measurements. Our method consists of camera geometry estimation step, image matching step, and façade mapping step. Models generated from this method were compared with actual measurement value of real buildings. Ratios of edge length of models and measurements were compared. Result showed 5.8% average error of length ratio. Through this method, we could generate a simple building model with fine façade textures without expensive dedicated tools and dataset.

  16. Automatic thermographic scanning with the creation of 3D panoramic views of buildings

    Science.gov (United States)

    Ferrarini, G.; Cadelano, G.; Bortolin, A.

    2016-05-01

    Infrared thermography is widely applied to the inspection of building, enabling the identification of thermal anomalies due to the presence of hidden structures, air leakages, and moisture. One of the main advantages of this technique is the possibility to acquire rapidly a temperature map of a surface. However, due to the actual low-resolution of thermal camera and the necessity of scanning surfaces with different orientation, during a building survey it is necessary to take multiple images. In this work a device based on quantitative infrared thermography, called aIRview, has been applied during building surveys to automatically acquire thermograms with a camera mounted on a robotized pan tilt unit. The goal is to perform a first rapid survey of the building that could give useful information for the successive quantitative thermal investigations. For each data acquisition, the instrument covers a rotational field of view of 360° around the vertical axis and up to 180° around the horizontal one. The obtained images have been processed in order to create a full equirectangular projection of the ambient. For this reason the images have been integrated into a web visualization tool, working with web panorama viewers such as Google Street View, creating a webpage where it is possible to have a three dimensional virtual visit of the building. The thermographic data are embedded with the visual imaging and with other sensor data, facilitating the understanding of the physical phenomena underlying the temperature distribution.

  17. Preliminary results of processing of Pulkovo series of photographic observations of double star 61 Cygni measured by automatic machine "Fantasy"

    Science.gov (United States)

    Gorshanov, D. L.; Shakht, N. A.; Kisselev, A. A.; Polyakov, E. V.; Bronnikova, A. A.; Kanaev, I. I.

    2003-11-01

    Two long-term series of photographic observations of one of the nearest double star 61 Cygni have been obtained at Pulkovo by means of normal astrograph in 1895-2000 (I) and by means of 26'' refractor in 1958-2000 (II). All these observations have been measured by means automatic machine "Fantasy" with mean error of yearly positions 0.016'' and 0.008'' for I and II series correspondly. The periodic deviations with period 6.4 +/- 0.5 yr in the residuals in relative distances between components are noticed for series II.

  18. Design of an ARM-based Automatic Rice-Selling Machine for Cafeterias

    Directory of Open Access Journals (Sweden)

    Zhiliang Kang

    2016-02-01

    Full Text Available To address the problems of low selling efficiency, poor sanitation conditions, labor-intensive requirement, and quick rice cooling speed in manual rice selling in cafeterias, especially in colleges and secondary schools, this paper presented an Advanced RISC Machines (ARM microprocessor-based rice-selling machine for cafeterias. The machines consisted of a funnel-shaped rice bin, a thermal insulation box, and a conveying and scattering mechanism. Moreover, this machine exerts fuzzy control over stepper motor rpm, and the motor drives the conveyor belt with a scraper to scatter rice, deliver it, and keep it warm. Apart from an external 4*4 keyboard, a point of sale (POS machine, an ARM process and a pressure sensor, the machine is also equipped with card swiping and weighting mechanisms to achieve functions of card swiping payment and precise measurement, respectively. In addition, detection of the right amount of rice and the alarm function are achieved using an ultrasonic sensor and a beeper, respectively. The presence of the rice container on the rice outlet is detected by an optoelectronic switch. Results show that this rice-selling machine achieves precise measurement, quick card swiping, fast rice selling, stable operation, and good rice heat preservation. Therefore, the mechanical design enables the machine to achieve its goals.

  19. Automatic de-identification of French clinical records: comparison of rule-based and machine-learning approaches.

    Science.gov (United States)

    Grouin, Cyril; Zweigenbaum, Pierre

    2013-01-01

    In this paper, we present a comparison of two approaches to automatically de-identify medical records written in French: a rule-based system and a machine-learning based system using a conditional random fields (CRF) formalism. Both systems have been designed to process nine identifiers in a corpus of medical records in cardiology. We performed two evaluations: first, on 62 documents in cardiology, and on 10 documents in foetopathology - produced by optical character recognition (OCR) - to evaluate the robustness of our systems. We achieved a 0.843 (rule-based) and 0.883 (machine-learning) exact match overall F-measure in cardiology. While the rule-based system allowed us to achieve good results on nominative (first and last names) and numerical data (dates, phone numbers, and zip codes), the machine-learning approach performed best on more complex categories (postal addresses, hospital names, medical devices, and towns). On the foetopathology corpus, although our systems have not been designed for this corpus and despite OCR character recognition errors, we obtained promising results: a 0.681 (rule-based) and 0.638 (machine-learning) exact-match overall F-measure. This demonstrates that existing tools can be applied to process new documents of lower quality.

  20. Approach for the Semi-Automatic Verification of 3d Building Models

    Science.gov (United States)

    Helmholz, P.; Belton, D.; Moncrieff, S.

    2013-04-01

    In the field of spatial sciences, there are a large number of disciplines and techniques for capturing data to solve a variety of different tasks and problems for different applications. Examples include: traditional survey for boundary definitions, aerial imagery for building models, and laser scanning for heritage facades. These techniques have different attributes such as the number of dimensions, accuracy and precision, and the format of the data. However, because of the number of applications and jobs, often over time these data sets captured from different sensor platforms and for different purposes will overlap in some way. In most cases, while this data is archived, it is not used in future applications to value add to the data capture campaign of current projects. It is also the case that newly acquire data are often not used to combine and improve existing models and data integrity. The purpose of this paper is to discuss a methodology and infrastructure to automatically support this concept. That is, based on a job specification, to automatically query existing and newly acquired data based on temporal and spatial relations, and to automatically combine and generate the best solution. To this end, there are three main challenges to examine; change detection, thematic accuracy and data matching.

  1. Aspects of Production Ecologization of Machine-Building Enterprises as Part of the System Approach

    Science.gov (United States)

    Lazutina, T. V.; Tempel, Yu A.; Tempel, O. A.; Lazutin, N. К

    2017-05-01

    The paper considers the role of the machine-building industry in Russia and the impact of its activities on the ecological situation in the country. As part of the problem we identified areas of environmental pollution from different production industries, including foundry, power, metal working and welding. In addition, the paper presents a strategy for production ecologization, based on a system approach viewed as a set of measures aimed at reducing the danger of technological processes for the environment and people.

  2. THE GOVERNMENT AND BUSINESS COLLABORATION IN DESIGNING INDUSTRIAL POLICY IN THE RUSSIAN RAILWAY MACHINE-BUILDING

    Directory of Open Access Journals (Sweden)

    Diana Pereversieva

    2013-01-01

    Full Text Available The article is devoted to improvement of the mechanism of the government and business collaboration in designing industrial policy. Materials and data of the passenger railway machine-building industry were basis for the analysis. The article draws a lot of attention to regional aspects of the issue. Proposals for the improvement of political mechanisms of the coordination of interests were worked out based on the business proposals and positions of government bodies.

  3. Automatic Building Detection based on Supervised Classification using High Resolution Google Earth Images

    Science.gov (United States)

    Ghaffarian, S.; Ghaffarian, S.

    2014-08-01

    This paper presents a novel approach to detect the buildings by automization of the training area collecting stage for supervised classification. The method based on the fact that a 3d building structure should cast a shadow under suitable imaging conditions. Therefore, the methodology begins with the detection and masking out the shadow areas using luminance component of the LAB color space, which indicates the lightness of the image, and a novel double thresholding technique. Further, the training areas for supervised classification are selected by automatically determining a buffer zone on each building whose shadow is detected by using the shadow shape and the sun illumination direction. Thereafter, by calculating the statistic values of each buffer zone which is collected from the building areas the Improved Parallelepiped Supervised Classification is executed to detect the buildings. Standard deviation thresholding applied to the Parallelepiped classification method to improve its accuracy. Finally, simple morphological operations conducted for releasing the noises and increasing the accuracy of the results. The experiments were performed on set of high resolution Google Earth images. The performance of the proposed approach was assessed by comparing the results of the proposed approach with the reference data by using well-known quality measurements (Precision, Recall and F1-score) to evaluate the pixel-based and object-based performances of the proposed approach. Evaluation of the results illustrates that buildings detected from dense and suburban districts with divers characteristics and color combinations using our proposed method have 88.4 % and 853 % overall pixel-based and object-based precision performances, respectively.

  4. Formation of competitive potential of the machine-building complex of the region

    Directory of Open Access Journals (Sweden)

    Oleg Ivanovich Botkin

    2014-03-01

    Full Text Available The article describes the features of competitive potential of regional machine-building complex in a globalized world economy. The purpose of the research is the development of theoretically reasonable economic basis of the machine-building complex considering  the  features of business in the conditions of the WTO. In the work, the hypothesis of a special role of the external economic factors locates in development of the enterprises of regional industrial complexes. The study of the theoretical provisions defining the development of the region revealed the factors determining influence of the international trade agreements on spatial localization of the industry. The main attention is paid to an analytical assessment of the current state and the trends, which have developed in the period of post-crisis economic recovery. Analysis of the main indicators of attractiveness has revealed the weak position of local industrial enterprises in the WTO. The directions of strengthening of the competitive capacity of the local industrial enterprises are defined. The obtained results allow us to increase the sustainability of the industry by means of effective management mechanism improvements and to create favorable operating conditions of a machine-building complex of the region

  5. An Approach to automatically optimize the Hydraulic performance of Blade System for Hydraulic Machines using Multi-objective Genetic Algorithm

    Science.gov (United States)

    Lai, Xide; Chen, Xiaoming; Zhang, Xiang; Lei, Mingchuan

    2016-11-01

    This paper presents an approach to automatic hydraulic optimization of hydraulic machine's blade system combining a blade geometric modeller and parametric generator with automatic CFD solution procedure and multi-objective genetic algorithm. In order to evaluate a plurality of design options and quickly estimate the blade system's hydraulic performance, the approximate model which is able to substitute for the original inside optimization loop has been employed in the hydraulic optimization of blade by using function approximation. As the approximate model is constructed through the database samples containing a set of blade geometries and their resulted hydraulic performances, it can ensure to correctly imitate the real blade's performances predicted by the original model. As hydraulic machine designers are accustomed to do design with 2D blade profiles on stream surface that are then stacked to 3D blade geometric model in the form of NURBS surfaces, geometric variables to be optimized were defined by a series profiles on stream surfaces. The approach depends on the cooperation between a genetic algorithm, a database and user defined objective functions and constraints which comprises hydraulic performances, structural and geometric constraint functions. Example covering optimization design of a mixed-flow pump impeller is presented.

  6. AUTOMATIC MODEL SELECTION FOR 3D RECONSTRUCTION OF BUILDINGS FROM SATELLITE IMAGARY

    Directory of Open Access Journals (Sweden)

    T. Partovi

    2013-09-01

    Full Text Available Through the improvements of satellite sensor and matching technology, the derivation of 3D models from space borne stereo data obtained a lot of interest for various applications such as mobile navigation, urban planning, telecommunication, and tourism. The automatic reconstruction of 3D building models from space borne point cloud data is still an active research topic. The challenging problem in this field is the relatively low quality of the Digital Surface Model (DSM generated by stereo matching of satellite data comparing to airborne LiDAR data. In order to establish an efficient method to achieve high quality models and complete automation from the mentioned DSM, in this paper a new method based on a model-driven strategy is proposed. For improving the results, refined orthorectified panchromatic images are introduced into the process as additional data. The idea of this method is based on ridge line extraction and analysing height values in direction of and perpendicular to the ridgeline direction. After applying pre-processing to the orthorectified data, some feature descriptors are extracted from the DSM, to improve the automatic ridge line detection. Applying RANSAC a line is fitted to each group of ridge points. Finally these ridge lines are refined by matching them or closing gaps. In order to select the type of roof model the heights of point in extension of the ridge line and height differences perpendicular to the ridge line are analysed. After roof model selection, building edge information is extracted from canny edge detection and parameters derived from the roof parts. Then the best model is fitted to extracted façade roofs based on detected type of model. Each roof is modelled independently and final 3D buildings are reconstructed by merging the roof models with the corresponding walls.

  7. Automatic target recognition of moving target based on empirical mode decomposition and genetic algorithm support vector machine

    Institute of Scientific and Technical Information of China (English)

    张军; 欧建平; 占荣辉

    2015-01-01

    In order to improve measurement accuracy of moving target signals, an automatic target recognition model of moving target signals was established based on empirical mode decomposition (EMD) and support vector machine (SVM). Automatic target recognition process on the nonlinear and non-stationary of Doppler signals of military target by using automatic target recognition model can be expressed as follows. Firstly, the nonlinearity and non-stationary of Doppler signals were decomposed into a set of intrinsic mode functions (IMFs) using EMD. After the Hilbert transform of IMF, the energy ratio of each IMF to the total IMFs can be extracted as the features of military target. Then, the SVM was trained through using the energy ratio to classify the military targets, and genetic algorithm (GA) was used to optimize SVM parameters in the solution space. The experimental results show that this algorithm can achieve the recognition accuracies of 86.15%, 87.93%, and 82.28%for tank, vehicle and soldier, respectively.

  8. 不锈钢球阀自动堆焊机的设计%Design of an Automatic Welding Machine for Stainless Steel Ball Valve

    Institute of Scientific and Technical Information of China (English)

    张辉; 冯晓宁

    2011-01-01

    This paper presents an automatic surface welding machine of welded stainless steel ball valve, mainly composed of the welding robot, welding machine and positioner. It automatically complete the surface welding of stainless steel layer of a complex space surface of the steel ball. After testing, the valve welding quality of stainless steel ball by the automatic surface welding machine meet the technical requirements.%设计了一种焊接不锈钢球阀的自动堆焊机,主要由焊接机器人、焊机及变位机组成, 能够直接在具有复杂空间表面的碳钢球体上自动地完成不锈钢层的堆焊.经过试验,自动堆焊机焊接的不锈钢球阀质量满足技术要求.

  9. Practical aspects of the technical and technological development level determining the machine-building enterprise

    Directory of Open Access Journals (Sweden)

    O.G. Shevliuga

    2014-09-01

    Full Text Available The aim of the article. The aim of the article is to determine the technical-technological development level of the machine-building enterprise on the basis of the proposed methodological approach. The results of the analysis. Low innovation activity of enterprises creates opportunities for improving many of its aspects. The technical-technological development is an essential part of modern enterprise innovation activity, which is an important component of successful functioning of enterprises. However, the question of finding funding sources for implementation of innovative changes remains open. Therefore it is necessary to involve different sources of funding to carry out the changes The proposed research and methodical recommendations facilitate application of scientific foundations for calculating the technical-technological development level in practice. The approach is aimed at the efficient use of existing fixed assets and introduction of technological innovations. The technical and technological components of the technical-technological development of machine-building enterprise “Turbomash Ltd” are examined in the article. The determination of its level allows defining the enterprise position in a competitive environment. The partial indicators of technical and technological TTD components during the period of 2009-2013 years are used in the calculation. On the basis of partial indicators for the technical and technological components integrated indicators are calculated. With the help of expert estimations weight characteristics of partial indicators are determined. Conclusions and directions of futher researches. According to the calculation results analyzed enterprise is positioned in the two-dimensional matrix based on integral indicators for the technical and technological components. Recommendations concerning measures of increasing the technical-technological development level of the enterprise are offered. For its increasing

  10. Automatic Generation of Building Models with Levels of Detail 1-3

    Science.gov (United States)

    Nguatem, W.; Drauschke, M.; Mayer, H.

    2016-06-01

    We present a workflow for the automatic generation of building models with levels of detail (LOD) 1 to 3 according to the CityGML standard (Gröger et al., 2012). We start with orienting unsorted image sets employing (Mayer et al., 2012), we compute depth maps using semi-global matching (SGM) (Hirschmüller, 2008), and fuse these depth maps to reconstruct dense 3D point clouds (Kuhn et al., 2014). Based on planes segmented from these point clouds, we have developed a stochastic method for roof model selection (Nguatem et al., 2013) and window model selection (Nguatem et al., 2014). We demonstrate our workflow up to the export into CityGML.

  11. Adapting histogram for automatic noise data removal in building interior point cloud data

    Science.gov (United States)

    Shukor, S. A. Abdul; Rushforth, E. J.

    2015-05-01

    3D point cloud data is now preferred by researchers to generate 3D models. These models can be used throughout a variety of applications including 3D building interior models. The rise of Building Information Modeling (BIM) for Architectural, Engineering, Construction (AEC) applications has given 3D interior modelling more attention recently. To generate a 3D model representing the building interior, a laser scanner is used to collect the point cloud data. However, this data often comes with noise. This is due to several factors including the surrounding objects, lighting and specifications of the laser scanner. This paper highlights on the usage of the histogram to remove the noise data. Histograms, used in statistics and probability, are regularly being used in a number of applications like image processing, where a histogram can represent the total number of pixels in an image at each intensity level. Here, histograms represent the number of points recorded at range distance intervals in various projections. As unwanted noise data has a sparser cloud density compared to the required data and is usually situated at a notable distance from the required data, noise data will have lower frequencies in the histogram. By defining the acceptable range using the average frequency, points below this range can be removed. This research has shown that these histograms have the capabilities to remove unwanted data from 3D point cloud data representing building interiors automatically. This feature will aid the process of data preprocessing in producing an ideal 3D model from the point cloud data.

  12. A state machine approach in modelling the heating process of a building

    Energy Technology Data Exchange (ETDEWEB)

    Pakanen, Jouko [Helsinki University of Technology, P.O. Box 3300, FI-02015 TKK Espoo (Finland); Karjalainen, Sami [VTT, P.O. Box 1000, FI-02044 VTT Espoo (Finland)

    2009-05-15

    Process models and their applications have gradually become an integral part of the design, maintenance and automation of modern buildings. The following state machine model outlines a new approach in this area. The heating power described by the model is based on the recent inputs as well as on the past inputs and outputs of the process, thus also representing the states of the system. Identifying the model means collecting, assorting and storing observations, but also effectively utilizing their inherent relationships and nearest neighbours. The last aspect enables to create a uniform set of data, which forms the characteristic, dynamic behaviour of the HVAC process. The state machine model is non-parametric and needs no sophisticated algorithm for identification. It is therefore suitable for small microprocessor devices equipped with a larger memory capacity. The first test runs, performed in a simulated environment, were encouraging and showed good prediction capability. (author)

  13. Automatic Color Sorting Machine Using TCS230 Color Sensor And PIC Microcontroller

    OpenAIRE

    Kunhimohammed C K; Muhammed Saifudeen K K; Sahna S; Gokul M S; Shaeez Usman Abdulla

    2015-01-01

    Sorting of products is a very difficult industrial process. Continuous manual sorting creates consistency issues. This paper describes a working prototype designed for automatic sorting of objects based on the color. TCS230 sensor was used to detect the color of the product and the PIC16F628A microcontroller was used to control the overall process. The identification of the color is based on the frequency analysis of the output of TCS230 sensor. Two conveyor belts were used, each ...

  14. Automatic Recognition Method for Optical Measuring Instruments Based on Machine Vision

    Institute of Scientific and Technical Information of China (English)

    SONG Le; LIN Yuchi; HAO Liguo

    2008-01-01

    Based on a comprehensive study of various algorithms, the automatic recognition of traditional ocular optical measuring instruments is realized. Taking a universal tools microscope (UTM) lens view image as an example, a 2-layer automatic recognition model for data reading is established after adopting a series of pre-processing algorithms. This model is an optimal combination of the correlation-based template matching method and a concurrent back propagation (BP) neural network. Multiple complementary feature extraction is used in generating the eigenvectors of the concurrent network. In order to improve fault-tolerance capacity, rotation invariant features based on Zernike moments are extracted from digit characters and a 4-dimensional group of the outline features is also obtained. Moreover, the operating time and reading accuracy can be adjusted dynamically by setting the threshold value. The experimental result indicates that the newly developed algorithm has optimal recognition precision and working speed. The average reading ratio can achieve 97.23%. The recognition method can automatically obtain the results of optical measuring instruments rapidly and stably without modifying their original structure, which meets the application requirements.

  15. Automatic Detection of Diabetes Diagnosis using Feature Weighted Support Vector Machines based on Mutual Information and Modified Cuckoo Search

    CERN Document Server

    Giveki, Davar; Bahmanyar, GholamReza; Khademian, Younes

    2012-01-01

    Diabetes is a major health problem in both developing and developed countries and its incidence is rising dramatically. In this study, we investigate a novel automatic approach to diagnose Diabetes disease based on Feature Weighted Support Vector Machines (FW-SVMs) and Modified Cuckoo Search (MCS). The proposed model consists of three stages: Firstly, PCA is applied to select an optimal subset of features out of set of all the features. Secondly, Mutual Information is employed to construct the FWSVM by weighting different features based on their degree of importance. Finally, since parameter selection plays a vital role in classification accuracy of SVMs, MCS is applied to select the best parameter values. The proposed MI-MCS-FWSVM method obtains 93.58% accuracy on UCI dataset. The experimental results demonstrate that our method outperforms the previous methods by not only giving more accurate results but also significantly speeding up the classification procedure.

  16. Food Safety by Using Machine Learning for Automatic Classification of Seeds of the South-American Incanut Plant

    Science.gov (United States)

    Lemanzyk, Thomas; Anding, Katharina; Linss, Gerhard; Rodriguez Hernández, Jorge; Theska, René

    2015-02-01

    The following paper deals with the classification of seeds and seed components of the South-American Incanut plant and the modification of a machine to handle this task. Initially the state of the art is being illustrated. The research was executed in Germany and with a relevant part in Peru and Ecuador. Theoretical considerations for the solution of an automatically analysis of the Incanut seeds were specified. The optimization of the analyzing software and the separation unit of the mechanical hardware are carried out with recognition results. In a final step the practical application of the analysis of the Incanut seeds is held on a trial basis and rated on the bases of statistic values.

  17. Integrating Automatic Speech Recognition and Machine Translation for Better Translation Outputs

    DEFF Research Database (Denmark)

    Liyanapathirana, Jeevanthi

    than typing, making the translation process faster. The spoken translation is analyzed and combined with the machine translation output of the same sentence using different methods. We study a number of different translation models in the context of n-best list rescoring methods. As an alternative...... to the n-best list rescoring, we also use word graphs with the expectation of arriving at a tighter integration of ASR and MT models. Integration methods include constraining ASR models using language and translation models of MT, and vice versa. We currently develop and experiment different methods...... on the Danish – English language pair, with the use of a speech corpora and parallel text. The methods are investigated to check ways that the accuracy of the spoken translation of the translator can be increased with the use of machine translation outputs, which would be useful for potential computer...

  18. The Model of Information Support for Management of Investment Attractiveness of Machine-Building Enterprises

    Directory of Open Access Journals (Sweden)

    Chernetska Olga V.

    2016-11-01

    Full Text Available The article discloses the content of the definition of “information support”, identifies basic approaches to the interpretation of this economic category. The main purpose of information support for management of enterprise investment attractiveness is determined. The key components of information support for management of enterprise investment attractiveness are studied. The main types of automated information systems for management of the investment attractiveness of enterprises are identified and characterized. The basic computer programs for assessing the level of investment attractiveness of enterprises are considered. A model of information support for management of investment attractiveness of machine-building enterprises is developed.

  19. Design of Automatic Chestnut Shelling Machine%自动板栗脱壳机的设计

    Institute of Scientific and Technical Information of China (English)

    张文斌

    2015-01-01

    针对目前板栗脱壳过程中主要依靠手工剥壳,手指极易被板栗刺壳上坚硬的刺刺伤,以及劳动强度大、生产效率低的问题,设计了一种新型的自动板栗脱壳机。该机采用胶皮与螺纹钢揉挤的方式将板栗刺与板栗米分开,同时采用鼓风机搭配输送带的方式进行分离。实际测试结果表明,该机采用的脱壳方式和分离方式新颖,能最大限度地将板栗米与板栗刺剥离,且能实现两者的自动分离,对于减轻栗农劳动强度,缩短栗子从采摘到上市的时间发挥了极大作用,值得进一步推广普及。%At present, chestnut is basically using hand to strip off, people’ s finger is inevitably scratched.Focusing on the current problem of high labor cost and low working efficiency, a new automatic chestnut shelling machine is designed. This machine combines rubber and deformed steel bars to separate the chestnut and its capillus.At the same time, the fan and conveyer belt are combined to realize their separation.The practical testing results show that this machine could separate the chestnut and its capillus to a great degree by using the novel shelling and separating way, it will reduce working hard and shorten time from picking to go to the market, it has great value to popularize.

  20. Development of High-Speed Automatic Chamfering Machine%高速自动倒角机研制

    Institute of Scientific and Technical Information of China (English)

    臧福海; 朱家诚

    2012-01-01

    Specific to the impact affixed size in the production of elongated bar products in the current domestic steel production enterprises ,as well as the phenomenon such as burr,raised and the flash occurred at the end of the bar,a high-speed automatic chamfering machine was developed.Hereby a PLC based high speed auto chamfering machine was proposed,which mechanical principles,control theory,the main equipment and capabilities was introduced.Omron CP1H-X40D was selected as a PLC control system with touch screen and PLC two-way communication: In addition a reasonable sensing device was designed, which can automatically detect the location of the barAfter trial test of the enterprise, the chamfering machine performance is verified to be stable,easy to operate,which not only greatly improved production efficiency,but also improved the quality of slender bar end.%针对目前国内钢材精线生产企业在生产细长棒料产品过程中,受到定尺寸切断的影响,在棒料端部极易产生毛刺、凸起、以及飞边等现象,开发研制出高速自动倒角机.提出了一种基于PLC控制系统的高速自动倒角机,介绍了倒角机的机械原理、控制原理、主要设备及功能.选用欧姆龙CP1H-X40D作为PLC控制系统,采用触摸屏与PLC双向通信;设计了合理的感应装置,能够自动探测棒料位置.通过企业使用证明,倒角机性能稳定、操作简便,大大提高生产效率,也提高了细长棒料端面质量.

  1. Machine learning approach for automatic quality criteria detection of health web pages.

    Science.gov (United States)

    Gaudinat, Arnaud; Grabar, Natalia; Boyer, Célia

    2007-01-01

    The number of medical websites is constantly growing [1]. Owing to the open nature of the Web, the reliability of information available on the Web is uneven. Internet users are overwhelmed by the quantity of information available on the Web. The situation is even more critical in the medical area, as the content proposed by health websites can have a direct impact on the users' well being. One way to control the reliability of health websites is to assess their quality and to make this assessment available to users. The HON Foundation has defined a set of eight ethical principles. HON's experts are working in order to manually define whether a given website complies with s the required principles. As the number of medical websites is constantly growing, manual expertise becomes insufficient and automatic systems should be used in order to help medical experts. In this paper we present the design and the evaluation of an automatic system conceived for the categorisation of medical and health documents according to he HONcode ethical principles. A first evaluation shows promising results. Currently the system shows 0.78 micro precision and 0.73 F-measure, with 0.06 errors.

  2. Development of New Type Contact Automatic Machine for Trimetal Rivets%三复合铆钉及其制造设备的研制

    Institute of Scientific and Technical Information of China (English)

    金爱军; 翁桅; 鲁菲; 柏小平

    2013-01-01

    介绍了国产三复合铆钉型触点自动机工作原理及设计特点。该机是一种自行设计的新型三复合冷压自动焊机,其制打产品的规格覆盖面广、质量稳定,适用于绝大多数的三复合铆钉的生产。各项性能指标已达到同类冷压焊机的国际先进水平,扩大了三复合铆钉的适应面。%The working principle and design features of the domestic automatic machine for trimetal rivets were introduced.The machine is China ’s first self-designed new type cold automatic welding machine,whose performance has reached international level of similar machine.In addition,the development helps China to fill the gaps in manufacturing cold pressure welding automatic machine for trimetal rivets.

  3. Model-based automatic 3d building model generation by integrating LiDAR and aerial images

    Science.gov (United States)

    Habib, A.; Kwak, E.; Al-Durgham, M.

    2011-12-01

    Accurate, detailed, and up-to-date 3D building models are important for several applications such as telecommunication network planning, urban planning, and military simulation. Existing building reconstruction approaches can be classified according to the data sources they use (i.e., single versus multi-sensor approaches), the processing strategy (i.e., data-driven, model-driven, or hybrid), or the amount of user interaction (i.e., manual, semiautomatic, or fully automated). While it is obvious that 3D building models are important components for many applications, they still lack the economical and automatic techniques for their generation while taking advantage of the available multi-sensory data and combining processing strategies. In this research, an automatic methodology for building modelling by integrating multiple images and LiDAR data is proposed. The objective of this research work is to establish a framework for automatic building generation by integrating data driven and model-driven approaches while combining the advantages of image and LiDAR datasets.

  4. Building a semi-automatic ontology learning and construction system for geosciences

    Science.gov (United States)

    Babaie, H. A.; Sunderraman, R.; Zhu, Y.

    2013-12-01

    We are developing an ontology learning and construction framework that allows continuous, semi-automatic knowledge extraction, verification, validation, and maintenance by potentially a very large group of collaborating domain experts in any geosciences field. The system brings geoscientists from the side-lines to the center stage of ontology building, allowing them to collaboratively construct and enrich new ontologies, and merge, align, and integrate existing ontologies and tools. These constantly evolving ontologies can more effectively address community's interests, purposes, tools, and change. The goal is to minimize the cost and time of building ontologies, and maximize the quality, usability, and adoption of ontologies by the community. Our system will be a domain-independent ontology learning framework that applies natural language processing, allowing users to enter their ontology in a semi-structured form, and a combined Semantic Web and Social Web approach that lets direct participation of geoscientists who have no skill in the design and development of their domain ontologies. A controlled natural language (CNL) interface and an integrated authoring and editing tool automatically convert syntactically correct CNL text into formal OWL constructs. The WebProtege-based system will allow a potentially large group of geoscientists, from multiple domains, to crowd source and participate in the structuring of their knowledge model by sharing their knowledge through critiquing, testing, verifying, adopting, and updating of the concept models (ontologies). We will use cloud storage for all data and knowledge base components of the system, such as users, domain ontologies, discussion forums, and semantic wikis that can be accessed and queried by geoscientists in each domain. We will use NoSQL databases such as MongoDB as a service in the cloud environment. MongoDB uses the lightweight JSON format, which makes it convenient and easy to build Web applications using

  5. Innovative technologies of outsourcing at the machine-building enterprises of Sverdlovsk area

    Directory of Open Access Journals (Sweden)

    P. P. Krylatkov

    2010-09-01

    Full Text Available The analysis of the basic problems connected with infringements of integrity of the machine-building enterprises of Sverdlovsk area is lead in the article. The specified problems are considered from a position of the complete approach developed by the author. Display of infringements of integrity of some the enterprises are illustrated by data of their inspection. As the effective tool of increase of integrity of the enterprises — expansion use of attitudes of outsourcing is offered. The comparative given applications of outsourcing in developed the country of the West and at the domestic enterprises, and also its benefits and risks are cited. Outsourcing, insoursing and subcontracting are considered by the author as the innovative tool of the decision of many serious problems of the machine-building enterprises of region. As an example practice of work of «The Sverdlovsk regional center of industrial cooperation» on coordination of attitudes of outsourcing, subcontracting and cooperation is offered. The author recommends the tabulated form, with the instruction of kinds of works for which performance the method of allocation or attraction outsourcing of the companies can be used.

  6. Development of an integrated system of budgeting machine-building enterprises

    Directory of Open Access Journals (Sweden)

    Sergey Polischuk

    2013-11-01

    Full Text Available In the article it is reasonably argued the complex of theoretical and methodological principles for creating an integrated budgeting system designed to create flexible and efficient management system. As part of this goal the problems of investigation of links between budgeting and strategic management of the machine-building enterprises and conditions for integration of budgeting and strategic planning are solved. Definition of the notion of integrated budgeting and implementation stages are given. The result of the comprehensive study of the principles of creating the integrated budgeting system in the machine-building enterprises is a possibility of implementation of strategic initiatives while saving company’s resources, as well as mutually coordination and link of the budgets at all levels for both strategic management and budgeting levels, and for the company as a whole implementing strategic objectives. It is argued that for evaluation of company results in implementation of strategic goals it is necessary to transform strategy into developed action plans with defined key performance indicators reflected in budgets in quantitative and quality figures that can measure depth of the achievement of strategic and tactical goals.

  7. Machine learning for automatic prediction of the quality of electrophysiological recordings.

    Directory of Open Access Journals (Sweden)

    Thomas Nowotny

    Full Text Available The quality of electrophysiological recordings varies a lot due to technical and biological variability and neuroscientists inevitably have to select "good" recordings for further analyses. This procedure is time-consuming and prone to selection biases. Here, we investigate replacing human decisions by a machine learning approach. We define 16 features, such as spike height and width, select the most informative ones using a wrapper method and train a classifier to reproduce the judgement of one of our expert electrophysiologists. Generalisation performance is then assessed on unseen data, classified by the same or by another expert. We observe that the learning machine can be equally, if not more, consistent in its judgements as individual experts amongst each other. Best performance is achieved for a limited number of informative features; the optimal feature set being different from one data set to another. With 80-90% of correct judgements, the performance of the system is very promising within the data sets of each expert but judgments are less reliable when it is used across sets of recordings from different experts. We conclude that the proposed approach is relevant to the selection of electrophysiological recordings, provided parameters are adjusted to different types of experiments and to individual experimenters.

  8. Automatic Extraction of Three Dimensional Prismatic Machining Features from CAD Model

    Directory of Open Access Journals (Sweden)

    B.V. Sudheer Kumar

    2011-12-01

    Full Text Available Machining features recognition provides the necessary platform for the computer aided process planning (CAPP and plays a key role in the integration of computer aided design (CAD and computer aided manufacturing (CAM. This paper presents a new methodology for extracting features from the geometrical data of the CAD Model present in the form of Virtual Reality Modeling Language (VRML files. First, the point cloud is separated into the available number of horizontal cross sections. Each cross section consists of a 2D point cloud. Then, a collection of points represented by a set of feature points is derived for each slice, describing the cross section accurately, and providing the basis for a feature-extraction. These extracted manufacturing features, gives the necessary information regarding the manufacturing activities tomanufacture the part. Software in Microsoft Visual C++ environment is developed to recognize the features, where geometric information of the part isextracted from the CAD model. By using this data, anoutput file i.e., text file is generated, which gives all the machinable features present in the part. This process has been tested on various parts and successfully extracted all the features

  9. Automatic Color Sorting Machine Using TCS230 Color Sensor And PIC Microcontroller

    Directory of Open Access Journals (Sweden)

    Kunhimohammed C K

    2015-12-01

    Full Text Available Sorting of products is a very difficult industrial process. Continuous manual sorting creates consistency issues. This paper describes a working prototype designed for automatic sorting of objects based on the color. TCS230 sensor was used to detect the color of the product and the PIC16F628A microcontroller was used to control the overall process. The identification of the color is based on the frequency analysis of the output of TCS230 sensor. Two conveyor belts were used, each controlled by separate DC motors. The first belt is for placing the product to be analyzed by the color sensor, and the second belt is for moving the container, having separated compartments, in order to separate the products. The experimental results promise that the prototype will fulfill the needs for higher production and precise quality in the field of automation.

  10. Automatic cash-binding machine register system for paper currency numbers

    Science.gov (United States)

    Yuan, Weiqi; Zhang, Yu

    2005-02-01

    An automatic recognition system for Paper Currency Numbers was developed in this paper. The paper currency number can be recognized and recorded by this system at the same time of binding. At First, an image of 8 bits grey-scale was acquired by CCD camera, and then some output number clusters can be through process of segmentation by Grey Ridge-Valley algorithm, orientation by projection, and character recognition by structure-analyzing algorithm. Results of experiments demonstrated that the proposed algorithm of gray ridges and valleys can extract feature effectively, the algorithm of distance of traversing number body orientation acute, and this system achieves a high recognition rate and a fast recognition speed. It still reached the practical degree. The system has applied national patent.

  11. Automatic control of the preload in adaptive friction drives of chemical production machines

    Science.gov (United States)

    Balakin, P. D.

    2017-08-01

    Being based on the principle of providing the systems with adaptation property to the real parameters and operational condition, the energy effective mechanical system constructed on the base of friction gear with automated preload is offered and this allows keeping mechanical efficiency value adequate transforming drive path to in the terms of multimode operation. This is achieved by integrated control loop, operating on the basis of the laws of motion with the energy of the main power flow by changing automatically the kinematic dimension of the section and, hence, the value of preload in the friction contact. The given ratios of forces and deformations in the control loop are required at the stage of conceptual design to determine design dimensions of power transmission elements with new properties.

  12. Method of Automatic Ontology Mapping through Machine Learning and Logic Mining

    Institute of Scientific and Technical Information of China (English)

    王英林

    2004-01-01

    Ontology mapping is the bottleneck of handling conflicts among heterogeneous ontologies and of implementing reconfiguration or interoperability of legacy systems. We proposed an ontology mapping method by using machine learning, type constraints and logic mining techniques. This method is able to find concept correspondences through instances and the result is optimized by using an error function; it is able to find attribute correspondence between two equivalent concepts and the mapping accuracy is enhanced by combining together instances learning, type constraints and the logic relations that are imbedded in instances; moreover, it solves the most common kind of categorization conflicts. We then proposed a merging algorithm to generate the shared ontology and proposed a reconfigurable architecture for interoperation based on multi agents. The legacy systems are encapsulated as information agents to participate in the integration system. Finally we give a simplified case study.

  13. Automatic Classification of Structured Product Labels for Pregnancy Risk Drug Categories, a Machine Learning Approach.

    Science.gov (United States)

    Rodriguez, Laritza M; Fushman, Dina Demner

    2015-01-01

    With regular expressions and manual review, 18,342 FDA-approved drug product labels were processed to determine if the five standard pregnancy drug risk categories were mentioned in the label. After excluding 81 drugs with multiple-risk categories, 83% of the labels had a risk category within the text and 17% labels did not. We trained a Sequential Minimal Optimization algorithm on the labels containing pregnancy risk information segmented into standard document sections. For the evaluation of the classifier on the testing set, we used the Micromedex drug risk categories. The precautions section had the best performance for assigning drug risk categories, achieving Accuracy 0.79, Precision 0.66, Recall 0.64 and F1 measure 0.65. Missing pregnancy risk categories could be suggested using machine learning algorithms trained on the existing publicly available pregnancy risk information.

  14. SETTING OF TASK OF OPTIMIZATION OF THE ACTIVITY OF A MACHINE-BUILDING CLUSTER COMPANY

    Directory of Open Access Journals (Sweden)

    A. V. Romanenko

    2014-01-01

    Full Text Available The work is dedicated to the development of methodological approaches to the management of machine-building enterprise on the basis of cost reduction, optimization of the portfolio of orders and capacity utilization in the process of operational management. Evaluation of economic efficiency of such economic entities of the real sector of the economy is determined, including the timing of orders, which depend on the issues of building a production facility, maintenance of fixed assets and maintain them at a given level. Formulated key components of economic-mathematical model of industrial activity and is defined as the optimization criterion. As proposed formula accumulating profits due to production capacity and technology to produce products current direct variable costs, the amount of property tax and expenses appearing as a result of manifestations of variance when performing replacement of production tasks for a single period of time. The main component of the optimization of the production activity of the enterprise on the basis of this criterion is the vector of direct variable costs. It depends on the number of types of products in the current portfolio of orders, production schedules production, the normative time for the release of a particular product available Fund time efficient production positions, the current valuation for certain groups of technological operations and the current priority of operations for the degree of readiness performed internal orders. Modeling of industrial activity based on the proposed provisions would allow the enterprises of machine-building cluster, active innovation, improve the efficient use of available production resources by optimizing current operations at the high uncertainty of the magnitude of the demand planning and carrying out maintenance and routine repairs.

  15. Supporting Teachers to Automatically Build Accessible Pedagogical Resources: The APEINTA Project

    Science.gov (United States)

    Iglesias, Ana; Moreno, Lourdes; Jiménez, Javier

    Most of the universities in Europe have started their process of adaptation towards a common educational space according to the European Higher Education Area (EHEA). The social dimension of the Bologna Process is a constituent part of the EHEA and it is a necessary condition for the attractiveness and competitiveness of the EHEA. Two of the main features of the social dimension are the equal access for all the students and the lifelong learning. One of the main problems of the adaptation process to the EHEA is that the teachers have no previous references and models to develop new pedagogical experiences accessible to all the students, nevertheless of their abilities, capabilities or accessibility characteristics. The APEINTA project presented in this paper can be used as a helpful tool for teachers in order to cope with the teaching demands of EHEA, helping the teachers to automatically build accessible pedagogical resources even when the teachers are not accessibility experts. This educational project has been successfully used in 2009 in two different degrees at the Carlos III University of Madrid: Computer Science and Library and Information Science.

  16. Semi-Automatic Registration of Airborne and Terrestrial Laser Scanning Data Using Building Corner Matching with Boundaries as Reliability Check

    Directory of Open Access Journals (Sweden)

    Liang Cheng

    2013-11-01

    Full Text Available Data registration is a prerequisite for the integration of multi-platform laser scanning in various applications. A new approach is proposed for the semi-automatic registration of airborne and terrestrial laser scanning data with buildings without eaves. Firstly, an automatic calculation procedure for thresholds in density of projected points (DoPP method is introduced to extract boundary segments from terrestrial laser scanning data. A new algorithm, using a self-extending procedure, is developed to recover the extracted boundary segments, which then intersect to form the corners of buildings. The building corners extracted from airborne and terrestrial laser scanning are reliably matched through an automatic iterative process in which boundaries from two datasets are compared for the reliability check. The experimental results illustrate that the proposed approach provides both high reliability and high geometric accuracy (average error of 0.44 m/0.15 m in horizontal/vertical direction for corresponding building corners for the final registration of airborne laser scanning (ALS and tripod mounted terrestrial laser scanning (TLS data.

  17. Infrared machine vision system for the automatic detection of olive fruit quality.

    Science.gov (United States)

    Guzmán, Elena; Baeten, Vincent; Pierna, Juan Antonio Fernández; García-Mesa, José A

    2013-11-15

    External quality is an important factor in the extraction of olive oil and the marketing of olive fruits. The appearance and presence of external damage are factors that influence the quality of the oil extracted and the perception of consumers, determining the level of acceptance prior to purchase in the case of table olives. The aim of this paper is to report on artificial vision techniques developed for the online estimation of olive quality and to assess the effectiveness of these techniques in evaluating quality based on detecting external defects. This method of classifying olives according to the presence of defects is based on an infrared (IR) vision system. Images of defects were acquired using a digital monochrome camera with band-pass filters on near-infrared (NIR). The original images were processed using segmentation algorithms, edge detection and pixel value intensity to classify the whole fruit. The detection of the defect involved a pixel classification procedure based on nonparametric models of the healthy and defective areas of olives. Classification tests were performed on olives to assess the effectiveness of the proposed method. This research showed that the IR vision system is a useful technology for the automatic assessment of olives that has the potential for use in offline inspection and for online sorting for defects and the presence of surface damage, easily distinguishing those that do not meet minimum quality requirements. Crown Copyright © 2013 Published by Elsevier B.V. All rights reserved.

  18. Machine learning for the automatic localisation of foetal body parts in cine-MRI scans

    Science.gov (United States)

    Bowles, Christopher; Nowlan, Niamh C.; Hayat, Tayyib T. A.; Malamateniou, Christina; Rutherford, Mary; Hajnal, Joseph V.; Rueckert, Daniel; Kainz, Bernhard

    2015-03-01

    Being able to automate the location of individual foetal body parts has the potential to dramatically reduce the work required to analyse time resolved foetal Magnetic Resonance Imaging (cine-MRI) scans, for example, for use in the automatic evaluation of the foetal development. Currently, manual preprocessing of every scan is required to locate body parts before analysis can be performed, leading to a significant time overhead. With the volume of scans becoming available set to increase as cine-MRI scans become more prevalent in clinical practice, this stage of manual preprocessing is a bottleneck, limiting the data available for further analysis. Any tools which can automate this process will therefore save many hours of research time and increase the rate of new discoveries in what is a key area in understanding early human development. Here we present a series of techniques which can be applied to foetal cine-MRI scans in order to first locate and then differentiate between individual body parts. A novel approach to maternal movement suppression and segmentation using Fourier transforms is put forward as a preprocessing step, allowing for easy extraction of short movements of individual foetal body parts via the clustering of optical flow vector fields. These body part movements are compared to a labelled database and probabilistically classified before being spatially and temporally combined to give a final estimate for the location of each body part.

  19. Automatic segmentation of amyloid plaques in MR images using unsupervised support vector machines.

    Science.gov (United States)

    Iordanescu, Gheorghe; Venkatasubramanian, Palamadai N; Wyrwicz, Alice M

    2012-06-01

    Deposition of the β-amyloid peptide (Aβ) is an important pathological hallmark of Alzheimer's disease (AD). However, reliable quantification of amyloid plaques in both human and animal brains remains a challenge. We present here a novel automatic plaque segmentation algorithm based on the intrinsic MR signal characteristics of plaques. This algorithm identifies plaque candidates in MR data by using watershed transform, which extracts regions with low intensities completely surrounded by higher intensity neighbors. These candidates are classified as plaque or nonplaque by an unsupervised learning method using features derived from the MR data intensity. The algorithm performance is validated by comparison with histology. We also demonstrate the algorithm's ability to detect age-related changes in plaque load ex vivo in amyloid precursor protein (APP) transgenic mice that coexpress five familial AD mutations (5xFAD mice). To our knowledge, this study represents the first quantitative method for characterizing amyloid plaques in MRI data. The proposed method can be used to describe the spatiotemporal progression of amyloid deposition, which is necessary for understanding the evolution of plaque pathology in mouse models of Alzheimer's disease and to evaluate the efficacy of emergent amyloid-targeting therapies in preclinical trials.

  20. The Application of Flexible Machining Equipment and Robo-rail in Knuckle Machining Automatic Line%柔性加工设备及轨道机器人在转向节加工自动线中的运用

    Institute of Scientific and Technical Information of China (English)

    郑金来; 熊昌秀; 丁海方; 戴启峰

    2016-01-01

    Present application of flexible machining equipment and Robo-rail in knuckle machining automatic line, which is a solution for traditional knuckle processing problem such as long processing cycle, unstable precision, labor intensity, low production efficiency. Come up with adding flexible machining equipment and Robo-rail in knuckle machining automatic line. Optimized automatic line parts can produce stable quality parts, improve production efficiency significantly, save investment and operation cost, make good economic benefits, which has been verified by use of production line.%介绍柔性加工设备及轨道机器人在转向节加工自动线中的运用,解决了传统转向节加工中加工周期长,精度不稳定,劳动强度大,生产效率低等问题。提出了在加工自动线中增加柔性加工设备和轨道机器人。生产线的投产使用验证了优化后的自动线零件加工质量稳定,生产效率显著提高,节约了投资和运行成本,取得了好的经济效益。

  1. Machine learning algorithm for automatic detection of CT-identifiable hyperdense lesions associated with traumatic brain injury

    Science.gov (United States)

    Keshavamurthy, Krishna N.; Leary, Owen P.; Merck, Lisa H.; Kimia, Benjamin; Collins, Scott; Wright, David W.; Allen, Jason W.; Brock, Jeffrey F.; Merck, Derek

    2017-03-01

    Traumatic brain injury (TBI) is a major cause of death and disability in the United States. Time to treatment is often related to patient outcome. Access to cerebral imaging data in a timely manner is a vital component of patient care. Current methods of detecting and quantifying intracranial pathology can be time-consuming and require careful review of 2D/3D patient images by a radiologist. Additional time is needed for image protocoling, acquisition, and processing. These steps often occur in series, adding more time to the process and potentially delaying time-dependent management decisions for patients with traumatic brain injury. Our team adapted machine learning and computer vision methods to develop a technique that rapidly and automatically detects CT-identifiable lesions. Specifically, we use scale invariant feature transform (SIFT)1 and deep convolutional neural networks (CNN)2 to identify important image features that can distinguish TBI lesions from background data. Our learning algorithm is a linear support vector machine (SVM)3. Further, we also employ tools from topological data analysis (TDA) for gleaning insights into the correlation patterns between healthy and pathological data. The technique was validated using 409 CT scans of the brain, acquired via the Progesterone for the Treatment of Traumatic Brain Injury phase III clinical trial (ProTECT_III) which studied patients with moderate to severe TBI4. CT data were annotated by a central radiologist and included patients with positive and negative scans. Additionally, the largest lesion on each positive scan was manually segmented. We reserved 80% of the data for training the SVM and used the remaining 20% for testing. Preliminary results are promising with 92.55% prediction accuracy (sensitivity = 91.15%, specificity = 93.45%), indicating the potential usefulness of this technique in clinical scenarios.

  2. AES Cardless Automatic Teller Machine (ATM) Biometric Security System Design Using FPGA Implementation

    Science.gov (United States)

    Ahmad, Nabihah; Rifen, A. Aminurdin M.; Helmy Abd Wahab, Mohd

    2016-11-01

    Automated Teller Machine (ATM) is an electronic banking outlet that allows bank customers to complete a banking transactions without the aid of any bank official or teller. Several problems are associated with the use of ATM card such card cloning, card damaging, card expiring, cast skimming, cost of issuance and maintenance and accessing customer account by third parties. The aim of this project is to give a freedom to the user by changing the card to biometric security system to access the bank account using Advanced Encryption Standard (AES) algorithm. The project is implemented using Field Programmable Gate Array (FPGA) DE2-115 board with Cyclone IV device, fingerprint scanner, and Multi-Touch Liquid Crystal Display (LCD) Second Edition (MTL2) using Very High Speed Integrated Circuit Hardware (VHSIC) Description Language (VHDL). This project used 128-bits AES for recommend the device with the throughput around 19.016Gbps and utilized around 520 slices. This design offers a secure banking transaction with a low rea and high performance and very suited for restricted space environments for small amounts of RAM or ROM where either encryption or decryption is performed.

  3. Histogram of Intensity Feature Extraction for Automatic Plastic Bottle Recycling System Using Machine Vision

    Directory of Open Access Journals (Sweden)

    Suzaimah Ramli

    2008-01-01

    Full Text Available Currently, many recycling activities adopt manual sorting for plastic recycling that relies on plant personnel who visually identify and pick plastic bottles as they travel along the conveyor belt. These bottles are then sorted into the respective containers. Manual sorting may not be a suitable option for recycling facilities of high throughput. It has also been noted that the high turnover among sorting line workers had caused difficulties in achieving consistency in the plastic separation process. As a result, an intelligent system for automated sorting is greatly needed to replace manual sorting system. The core components of machine vision for this intelligent sorting system is the image recognition and classification. In this research, the overall plastic bottle sorting system is described. Additionally, the feature extraction algorithm used is discussed in detail since it is the core component of the overall system that determines the success rate. The performance of the proposed feature extractions were evaluated in terms of classification accuracy and result obtained showed an accuracy of more than 80%.

  4. Automatic detection of sleep apnea based on EEG detrended fluctuation analysis and support vector machine.

    Science.gov (United States)

    Zhou, Jing; Wu, Xiao-ming; Zeng, Wei-jie

    2015-12-01

    Sleep apnea syndrome (SAS) is prevalent in individuals and recently, there are many studies focus on using simple and efficient methods for SAS detection instead of polysomnography. However, not much work has been done on using nonlinear behavior of the electroencephalogram (EEG) signals. The purpose of this study is to find a novel and simpler method for detecting apnea patients and to quantify nonlinear characteristics of the sleep apnea. 30 min EEG scaling exponents that quantify power-law correlations were computed using detrended fluctuation analysis (DFA) and compared between six SAS and six healthy subjects during sleep. The mean scaling exponents were calculated every 30 s and 360 control values and 360 apnea values were obtained. These values were compared between the two groups and support vector machine (SVM) was used to classify apnea patients. Significant difference was found between EEG scaling exponents of the two groups (p classification accuracy reached 95.1% corresponding to the sensitivity 93.2% and specificity 98.6%. DFA of EEG is an efficient and practicable method and is helpful clinically in diagnosis of sleep apnea.

  5. Automatic QSO Selection Using Machine Learning: Application on Massive Astronomical Database

    Science.gov (United States)

    Kim, D.-W.; Protopapas, P.; Alcock, C.; Byun, Y.-I.; Khardon, R.

    2011-07-01

    We present a new QSO (Quasi-Stellar Object) selection algorithm using Support Vector Machine (SVM), a supervised classification method, on a set of multiple extracted times series features such as period, amplitude, color, and autocorrelation value. We train a model that separates QSOs from variable stars, non-variable stars and microlensing events using the richest possible training set consisting of all known types of variables including QSOs from the MAssive Compact Halo Object (MACHO) database. We applied the trained model on the MACHO Large Magellanic Cloud (LMC) dataset, which consists of 40 million lightcurves, and found 1,620 QSO candidates. During the selection none of the 33,242 known MACHO variables were misclassified as QSO candidates. In order to estimate the true false positive rate, we crossmatched the candidates with astronomical catalogs including the Spitzer Surveying the Agents of a Galaxy's Evolution (SAGE) LMC catalog. The results further suggest that the majority of the candidates, more than 70%, are QSOs.

  6. The role of marketing researches in machine-building enterprise management

    Directory of Open Access Journals (Sweden)

    V.M. Nianko

    2014-03-01

    Full Text Available The aim of the article. The aim of the article is a synthesis of theoretical approaches to the nature of marketing system, development organizational directions of improvement of marketing researches at agricultural machine-building enterprise, disclosing specifics of marketing researches in modern conditions. The results of the analysis. Achievement of high results, inaccuracies and errors conditioned by removal at application of marketing researches process can be achieved by introducing to the process of the additional stage – estimations of accordance to the requirements. Marketing system is a complex, holistic system, and its primary component is marketing researches. They allow tracking changes in environmental factors and ensuring optimal establishing links between producers of goods and their consumers. Place of marketing researches in the marketing system of machine-building enterprises is determined by specific of products market segmentation (geographical principle, price principle, principle of psychographic, behavioral principle, principle of quality characteristics of products, principle of service, positioning of products and their technical and economic characteristics (productivity, reliability, longevity. A necessity for forming effectively operating complex of marketing researches is development of communication constituent, that consists in an exchange of collected information with the market of sale (by target audience, collaboration of machine-building enterprises with commodity producers in relation to study of demand, in the sphere of warranty and post-warranty maintenance of products; with research establishments; taking part in specialized exhibitions, further collaboration of producer with consumer. Database made on the basis of marketing researches will serve as basis for creation of the marketing informative system at the enterprises of machine-building. Further monitoring of market, and also marketing secret

  7. Building blocks for automated elucidation of metabolites: Machine learning methods for NMR prediction

    Science.gov (United States)

    Kuhn, Stefan; Egert, Björn; Neumann, Steffen; Steinbeck, Christoph

    2008-01-01

    Background Current efforts in Metabolomics, such as the Human Metabolome Project, collect structures of biological metabolites as well as data for their characterisation, such as spectra for identification of substances and measurements of their concentration. Still, only a fraction of existing metabolites and their spectral fingerprints are known. Computer-Assisted Structure Elucidation (CASE) of biological metabolites will be an important tool to leverage this lack of knowledge. Indispensable for CASE are modules to predict spectra for hypothetical structures. This paper evaluates different statistical and machine learning methods to perform predictions of proton NMR spectra based on data from our open database NMRShiftDB. Results A mean absolute error of 0.18 ppm was achieved for the prediction of proton NMR shifts ranging from 0 to 11 ppm. Random forest, J48 decision tree and support vector machines achieved similar overall errors. HOSE codes being a notably simple method achieved a comparatively good result of 0.17 ppm mean absolute error. Conclusion NMR prediction methods applied in the course of this work delivered precise predictions which can serve as a building block for Computer-Assisted Structure Elucidation for biological metabolites. PMID:18817546

  8. Building blocks for automated elucidation of metabolites: Machine learning methods for NMR prediction

    Directory of Open Access Journals (Sweden)

    Neumann Steffen

    2008-09-01

    Full Text Available Abstract Background Current efforts in Metabolomics, such as the Human Metabolome Project, collect structures of biological metabolites as well as data for their characterisation, such as spectra for identification of substances and measurements of their concentration. Still, only a fraction of existing metabolites and their spectral fingerprints are known. Computer-Assisted Structure Elucidation (CASE of biological metabolites will be an important tool to leverage this lack of knowledge. Indispensable for CASE are modules to predict spectra for hypothetical structures. This paper evaluates different statistical and machine learning methods to perform predictions of proton NMR spectra based on data from our open database NMRShiftDB. Results A mean absolute error of 0.18 ppm was achieved for the prediction of proton NMR shifts ranging from 0 to 11 ppm. Random forest, J48 decision tree and support vector machines achieved similar overall errors. HOSE codes being a notably simple method achieved a comparatively good result of 0.17 ppm mean absolute error. Conclusion NMR prediction methods applied in the course of this work delivered precise predictions which can serve as a building block for Computer-Assisted Structure Elucidation for biological metabolites.

  9. AUTOMATIC EXTRACTION OF BUILDING ROOF PLANES FROM AIRBORNE LIDAR DATA APPLYING AN EXTENDED 3D RANDOMIZED HOUGH TRANSFORM

    Directory of Open Access Journals (Sweden)

    E. Maltezos

    2016-06-01

    Full Text Available This study aims to extract automatically building roof planes from airborne LIDAR data applying an extended 3D Randomized Hough Transform (RHT. The proposed methodology consists of three main steps, namely detection of building points, plane detection and refinement. For the detection of the building points, the vegetative areas are first segmented from the scene content and the bare earth is extracted afterwards. The automatic plane detection of each building is performed applying extensions of the RHT associated with additional constraint criteria during the random selection of the 3 points aiming at the optimum adaptation to the building rooftops as well as using a simple design of the accumulator that efficiently detects the prominent planes. The refinement of the plane detection is conducted based on the relationship between neighbouring planes, the locality of the point and the use of additional information. An indicative experimental comparison to verify the advantages of the extended RHT compared to the 3D Standard Hough Transform (SHT is implemented as well as the sensitivity of the proposed extensions and accumulator design is examined in the view of quality and computational time compared to the default RHT. Further, a comparison between the extended RHT and the RANSAC is carried out. The plane detection results illustrate the potential of the proposed extended RHT in terms of robustness and efficiency for several applications.

  10. Automatic Extraction of Building Roof Planes from Airborne LIDAR Data Applying AN Extended 3d Randomized Hough Transform

    Science.gov (United States)

    Maltezos, Evangelos; Ioannidis, Charalabos

    2016-06-01

    This study aims to extract automatically building roof planes from airborne LIDAR data applying an extended 3D Randomized Hough Transform (RHT). The proposed methodology consists of three main steps, namely detection of building points, plane detection and refinement. For the detection of the building points, the vegetative areas are first segmented from the scene content and the bare earth is extracted afterwards. The automatic plane detection of each building is performed applying extensions of the RHT associated with additional constraint criteria during the random selection of the 3 points aiming at the optimum adaptation to the building rooftops as well as using a simple design of the accumulator that efficiently detects the prominent planes. The refinement of the plane detection is conducted based on the relationship between neighbouring planes, the locality of the point and the use of additional information. An indicative experimental comparison to verify the advantages of the extended RHT compared to the 3D Standard Hough Transform (SHT) is implemented as well as the sensitivity of the proposed extensions and accumulator design is examined in the view of quality and computational time compared to the default RHT. Further, a comparison between the extended RHT and the RANSAC is carried out. The plane detection results illustrate the potential of the proposed extended RHT in terms of robustness and efficiency for several applications.

  11. Hybrid three-dimensional and support vector machine approach for automatic vehicle tracking and classification using a single camera

    Science.gov (United States)

    Kachach, Redouane; Cañas, José María

    2016-05-01

    Using video in traffic monitoring is one of the most active research domains in the computer vision community. TrafficMonitor, a system that employs a hybrid approach for automatic vehicle tracking and classification on highways using a simple stationary calibrated camera, is presented. The proposed system consists of three modules: vehicle detection, vehicle tracking, and vehicle classification. Moving vehicles are detected by an enhanced Gaussian mixture model background estimation algorithm. The design includes a technique to resolve the occlusion problem by using a combination of two-dimensional proximity tracking algorithm and the Kanade-Lucas-Tomasi feature tracking algorithm. The last module classifies the shapes identified into five vehicle categories: motorcycle, car, van, bus, and truck by using three-dimensional templates and an algorithm based on histogram of oriented gradients and the support vector machine classifier. Several experiments have been performed using both real and simulated traffic in order to validate the system. The experiments were conducted on GRAM-RTM dataset and a proper real video dataset which is made publicly available as part of this work.

  12. Machine Learning Techniques Applied to Sensor Data Correction in Building Technologies

    Energy Technology Data Exchange (ETDEWEB)

    Smith, Matt K [ORNL; Castello, Charles C [ORNL; New, Joshua Ryan [ORNL

    2013-01-01

    Since commercial and residential buildings account for nearly half of the United States' energy consumption, making them more energy-efficient is a vital part of the nation's overall energy strategy. Sensors play an important role in this research by collecting data needed to analyze performance of components, systems, and whole-buildings. Given this reliance on sensors, ensuring that sensor data are valid is a crucial problem. Solutions being researched are machine learning techniques, namely: artificial neural networks and Bayesian Networks. Types of data investigated in this study are: (1) temperature; (2) humidity; (3) refrigerator energy consumption; (4) heat pump liquid pressure; and (5) water flow. These data are taken from Oak Ridge National Laboratory's (ORNL) ZEBRAlliance research project which is composed of four single-family homes in Oak Ridge, TN. Results show that for the temperature, humidity, pressure, and flow sensors, data can mostly be predicted with root-mean-square error (RMSE) of less than 10% of the respective sensor's mean value. Results for the energy sensor are not as good; RMSE are centered about 100% of the mean value and are often well above 200%. Bayesian networks have RSME of less than 5% of the respective sensor's mean value, but took substantially longer to train.

  13. Analysis of Inlfuencing Factors about Cleaning Effect of Automatic Cleaning Machine%全自动清洗机清洗效果影响因素分析

    Institute of Scientific and Technical Information of China (English)

    徐金荣; 洪范宗; 苏秋玲

    2013-01-01

    目的探讨全自动清洗机清洗效果的影响因素。方法全自动清洗机清洗器械时,在清洗夹中放置STF清洗效果检测卡进行检测。结果清洗剂、清洗温度、清洗时间等参数会对最终清洗效果产生影响;喷淋臂、加酶泵、清洗泵、器械装载等故障也会对最终清洗效果产生影响。结论全自动清洗机清洗效果的影响因素主要为清洗参数和机械故障。%Objective To explore the influencing factors about cleaning effect of automatic cleaning machine. Methods When the instruments are being cleaned by automatic cleaning machine, placing STF cleaning effect detection card in cleaning clamp to check the cleaning effect. Results Cleaning parameters such as cleaning agents, cleaning temperature and cleaning time have an impact on the ifnal cleaning effect. Mechanical failures such as pray arm failure, enzyme pump failure, cleaning pump failure and instrument loading failure also have an impact on the ifnal cleaning effect. Conclusion The main Inlfuencing factors about cleaning effect of automatic cleaning machine includes cleaning parameters and mechanical failures.

  14. General collaboration offer of Johnson Controls regarding the performance of air conditioning automatic control systems and other buildings` automatic control systems

    Energy Technology Data Exchange (ETDEWEB)

    Gniazdowski, J.

    1995-12-31

    JOHNSON CONTROLS manufactures measuring and control equipment (800 types) and is as well a {open_quotes}turn-key{close_quotes} supplier of complete automatic controls systems for heating, air conditioning, ventilation and refrigerating engineering branches. The Company also supplies Buildings` Computer-Based Supervision and Monitoring Systems that may be applied in both small and large structures. Since 1990 the company has been performing full-range trade and contracting activities on the Polish market. We have our own well-trained technical staff and we collaborate with a series of designing and contracting enterprises that enable us to have our projects carried out all over Poland. The prices of our supplies and services correspond with the level of the Polish market.

  15. Automatic classification of athletes with residual functional deficits following concussion by means of EEG signal using support vector machine.

    Science.gov (United States)

    Cao, Cheng; Tutwiler, Richard Laurence; Slobounov, Semyon

    2008-08-01

    There is a growing body of knowledge indicating long-lasting residual electroencephalography (EEG) abnormalities in concussed athletes that may persist up to 10-year postinjury. Most often, these abnormalities are initially overlooked using traditional concussion assessment tools. Accordingly, premature return to sport participation may lead to recurrent episodes of concussion, increasing the risk of recurrent concussions with more severe consequences. Sixty-one athletes at high risk for concussion (i.e., collegiate rugby and football players) were recruited and underwent EEG baseline assessment. Thirty of these athletes suffered from concussion and were retested at day 30 postinjury. A number of task-related EEG recordings were conducted. A novel classification algorithm, the support vector machine (SVM), was applied as a classifier to identify residual functional abnormalities in athletes suffering from concussion using a multichannel EEG data set. The total accuracy of the classifier using the 10 features was 77.1%. The classifier has a high sensitivity of 96.7% (linear SVM), 80.0% (nonlinear SVM), and a relatively lower but acceptable selectivity of 69.1% (linear SVM) and 75.0% (nonlinear SVM). The major findings of this report are as follows: 1) discriminative features were observed at theta, alpha, and beta frequency bands, 2) the minimal redundancy relevance method was identified as being superior to the univariate t -test method in selecting features for the model calculation, 3) the EEG features selected for the classification model are linked to temporal and occipital areas, and 4) postural parameters influence EEG data set and can be used as discriminative features for the classification model. Overall, this report provides sufficient evidence that 10 EEG features selected for final analysis and SVM may be potentially used in clinical practice for automatic classification of athletes with residual brain functional abnormalities following a concussion

  16. Modernized build and test infrastructure for control software at ESO: highly flexible building, testing, and automatic quality practices for telescope control software

    Science.gov (United States)

    Pellegrin, F.; Jeram, B.; Haucke, J.; Feyrin, S.

    2016-07-01

    The paper describes the introduction of a new automatized build and test infrastructure, based on the open-source software Jenkins1, into the ESO Very Large Telescope control software to replace the preexisting in-house solution. A brief introduction to software quality practices is given, a description of the previous solution, the limitations of it and new upcoming requirements. Modifications required to adapt the new system are described, how these were implemented to current software and the results obtained. An overview on how the new system may be used in future projects is also presented.

  17. Integrated Multi-Scale Data Analytics and Machine Learning for the Distribution Grid and Building-to-Grid Interface

    Energy Technology Data Exchange (ETDEWEB)

    Stewart, Emma M. [Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States); Hendrix, Val [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Chertkov, Michael [Los Alamos National Lab. (LANL), Los Alamos, NM (United States); Deka, Deepjyoti [Los Alamos National Lab. (LANL), Los Alamos, NM (United States)

    2017-03-16

    This white paper introduces the application of advanced data analytics to the modernized grid. In particular, we consider the field of machine learning and where it is both useful, and not useful, for the particular field of the distribution grid and buildings interface. While analytics, in general, is a growing field of interest, and often seen as the golden goose in the burgeoning distribution grid industry, its application is often limited by communications infrastructure, or lack of a focused technical application. Overall, the linkage of analytics to purposeful application in the grid space has been limited. In this paper we consider the field of machine learning as a subset of analytical techniques, and discuss its ability and limitations to enable the future distribution grid and the building-to-grid interface. To that end, we also consider the potential for mixing distributed and centralized analytics and the pros and cons of these approaches. Machine learning is a subfield of computer science that studies and constructs algorithms that can learn from data and make predictions and improve forecasts. Incorporation of machine learning in grid monitoring and analysis tools may have the potential to solve data and operational challenges that result from increasing penetration of distributed and behind-the-meter energy resources. There is an exponentially expanding volume of measured data being generated on the distribution grid, which, with appropriate application of analytics, may be transformed into intelligible, actionable information that can be provided to the right actors – such as grid and building operators, at the appropriate time to enhance grid or building resilience, efficiency, and operations against various metrics or goals – such as total carbon reduction or other economic benefit to customers. While some basic analysis into these data streams can provide a wealth of information, computational and human boundaries on performing the analysis

  18. Development of automatic MIG/MAG welding machine based on PLC%基于PLC的MIG/MAG自动焊设备研制

    Institute of Scientific and Technical Information of China (English)

    宋金虎

    2012-01-01

    Stainless steel disinfection tank consists of a tube section and left,right shell cover by welding.Developed an automatic welding machine for stainless steel disinfection tank productionThe automatic welding machine comprises a frame,a workpiece clamping rotation mechanism,a welding dolly and the wire feeding mechanism .using MIG/MAG welding method,and the machine has 2 sets of automatic welding equipment,can completing two girth welding in the same time.Tne control system consists of PLC.touch screen display,frequency converter,relay etc,provide a choice of various welding mode and multiple sets of welding specification,so that the automatic welding equipment has strong adaptability,high welding quality,simple and convenient operation,high efficiency.%不锈钢消毒罐由筒节和左右封头焊接而成.针对不锈钢消毒罐环缝焊接的需要,研制了一套自动焊接设备,该设备包括机架、工件夹紧旋转机构、焊接小车和送丝机构等,采用MIG/MAG焊接,据有两套焊枪,可同时完成两道环缝的焊接;控制系统以PLC为核心,由PLC、触摸屏显示器、变频器,继电器等组成,有多种焊接模式和多套焊接规范可供选择,该自动焊设备适应性强,焊接质量高,操作简单方便,效率高.

  19. 缝纫线绕线机自动控制系统的设计%Design of automatic control system of sewing thread winding machine

    Institute of Scientific and Technical Information of China (English)

    柯良; 冯关明; 章建军; 陈水明

    2014-01-01

    According to the problems such as the low lever of automation and high requirement of operators,designed a kind of au-tomatic control system of sewing thread winding machine based on Sequential Function Chart ( SFC) .On the basis of structure of the sewing thread winding machine,analyzed the principle and work process of the machine,taken advantage of logical of sequen-tial function chart,accomplished the design and program of automatic control system,developed a kind of automatic control system of sewing thread winding machine which could load,wing,clamp,cut and unload sewing thread.The system can improve efficiency of winding and the program can be read easily.%针对普通缝纫线绕线机自动化程度低、对操作者熟练程度要求高等问题,设计了一种基于可编程逻辑控制器( Pro-grammable Logic Controller,PLC)顺序功能图( Sequential Function Chart,SFC)的缝纫线绕线机自动控制系统,有效提高了缝纫线绕制的效率与自动化程度。根据缝纫线绕线机结构组成,分析绕线机基本原理及工作流程,利用SFC逻辑清晰的优点,完成自动控制系统的设计和编程,开发一种能够自动完成上料、绕线、夹线、断线和下料等功能的缝纫线绕线机自动控制系统,具有绕线效率高、程序可读性好等特点。

  20. Automatic discovery of the communication network topology for building a supercomputer model

    Science.gov (United States)

    Sobolev, Sergey; Stefanov, Konstantin; Voevodin, Vadim

    2016-10-01

    The Research Computing Center of Lomonosov Moscow State University is developing the Octotron software suite for automatic monitoring and mitigation of emergency situations in supercomputers so as to maximize hardware reliability. The suite is based on a software model of the supercomputer. The model uses a graph to describe the computing system components and their interconnections. One of the most complex components of a supercomputer that needs to be included in the model is its communication network. This work describes the proposed approach for automatically discovering the Ethernet communication network topology in a supercomputer and its description in terms of the Octotron model. This suite automatically detects computing nodes and switches, collects information about them and identifies their interconnections. The application of this approach is demonstrated on the "Lomonosov" and "Lomonosov-2" supercomputers.

  1. Automatic correction system of the laminating machine based on image processing%基于图像处理的贴合机自动纠偏系统

    Institute of Scientific and Technical Information of China (English)

    赵茹; 陶晓杰; 王鹏飞

    2013-01-01

    贴合机自动纠偏系统主要用来对采集的图像进行X、Y、R方向的偏差计算和偏差数据的输出.文中首先对贴合机自动纠偏系统进行了设计,并对采集到的图像进行预处理,之后采用Hough变换对图像进行角度检测,采用插值和相位相关的图像配准算法对图像进行位移偏差计算.最后对系统进行标定.通过传送偏移数据到控制机,可实现对贴合物品的精确定位.%Automatic correction system of the laminating machine is main used to output the deviation calculation and deviation data of the X, Y, R direction of the acquired images. Firstly, in the thesis, laminating machine automatic correction system has been designed, and collected images has been preprocessed by the automatic correction system. After that we use the Hough transform to carry out angle detection of the image. Interpolation and image registration algorithm of phase correlation have been used in displacement deviation calculation. Finally is the system calibration. By transmitting the offset data to the control computer, It is easy to achieving precise positioning of the laminated slices.

  2. Automatic classification of written descriptions by healthy adults: An overview of the application of natural language processing and machine learning techniques to clinical discourse analysis

    Directory of Open Access Journals (Sweden)

    Cíntia Matsuda Toledo

    Full Text Available Discourse production is an important aspect in the evaluation of brain-injured individuals. We believe that studies comparing the performance of brain-injured subjects with that of healthy controls must use groups with compatible education. A pioneering application of machine learning methods using Brazilian Portuguese for clinical purposes is described, highlighting education as an important variable in the Brazilian scenario.OBJECTIVE: The aims were to describe how to: (i develop machine learning classifiers using features generated by natural language processing tools to distinguish descriptions produced by healthy individuals into classes based on their years of education; and (ii automatically identify the features that best distinguish the groups.METHODS: The approach proposed here extracts linguistic features automatically from the written descriptions with the aid of two Natural Language Processing tools: Coh-Metrix-Port and AIC. It also includes nine task-specific features (three new ones, two extracted manually, besides description time; type of scene described - simple or complex; presentation order - which type of picture was described first; and age. In this study, the descriptions by 144 of the subjects studied in Toledo18 were used, which included 200 healthy Brazilians of both genders.RESULTS AND CONCLUSION:A Support Vector Machine (SVM with a radial basis function (RBF kernel is the most recommended approach for the binary classification of our data, classifying three of the four initial classes. CfsSubsetEval (CFS is a strong candidate to replace manual feature selection methods.

  3. DEFINING THE MAGNETIC FIELD FOR THE ELEMENTS OF AIR MOTORS AND DEVICES FOR AUTOMATIC TAKE-OFF OF THE MILKING MACHINE

    Directory of Open Access Journals (Sweden)

    Koledov R. V.

    2015-04-01

    Full Text Available Efficient dairy cattle breeding are largely dependent from technology content and service animals. Most farms use a tethered way content. With this method of milking, the technology requires the introduction of new techniques to increase productivity on the farm and cost reduction of dairy products. The most rational is improving the design of existing milking machines. Regarded device for automatic removal of hanging part of a milking machine, its structure and working principle. The main unit of the device is a pneumatic motor that operates from the vacuum system of the milking plant. In the housing mounted on the shaft of the pneumatic motor rotor with curved vanes, there are magnetic elements. These elements should have the necessary geometrical and force parameters to ensure the normal operation of the device for automatic removal of hanging part of milking machine. The article describes a laboratory research and an analysis of the magnetic elements. In laboratory studies, we have revealed a dependence of the traction capacity of pneumatic motor from linear and power parameters of the magnetic elements, as well as established necessary geometric parameters and the magnetic field strength of the elements for normal operation

  4. Structural Design and Optimization of Multifunctional Automatic Label-making Machine%多功能自动标签机机构设计与优化

    Institute of Scientific and Technical Information of China (English)

    郭继亮; 陈爱平; 杨万里; 李聪

    2015-01-01

    Labeling machine is the currently most widely used in industrial labeling,whose automatic labeling machine has incomparable advantages over labor force in terms of its efficiency and quality.Thus,the design and optimization of it gains great revolutionary significance. This poject has optimized its label-making and transferring mechanism and has given an explanation of how an automatic labeling machine can label continuously and multi-functional y.%标签机是目前工业贴标应用最广泛的机器,其自动贴标签机贴标的效率与质量,较人工有着无法比拟的优势,所以对其设计和优化有着重大的工业革命性意义。本课题就现有的自动标签机的出标机构,传送机构等机构进行了优化,如何实现自动标签机的不间歇运动和多功能贴标等功能做出了论述。

  5. Automatic Height-Adjustment Control and Related Technology of Coal Mining Machine%采煤机自动调高控制及相关技术

    Institute of Scientific and Technical Information of China (English)

    折力兵

    2015-01-01

    随着煤矿产业规模的不断扩大,实现采煤机的自动化控制技术是提高煤矿企业生产效率的关键,我国在这方面投入了大量的精力,当前我国已经在采煤机的自动调高技术上有了一定的成果。主要介绍了我国当前对采煤机自动调高技术的研究和相关成果,并分析了这一技术的应用前景。%With the continuous expansion of the scale of coal mine industry, to realize the automation control technology of coal mining machine is the key to improve the production efficiency of coal enterprises, China in this regard has invested a lot of energy, and the current China has made some achievements in the coal mining machine automatic control technology. This paper mainly introduces the research and the related results of automatic height-adjustment control technology of the coal min-ing machine in China, and analyzes the application prospect of this technology.

  6. A mathematical model for storied buildings subjected to automatic loom stresses. [vibration of weaving mill

    Science.gov (United States)

    Stan, A.; Munteanu, M.

    1974-01-01

    Expressions are derived for the displacements of a many storied building subjected to the action of classical weaving looms located at different levels of the building. The building is regarded as a vertical fixed beam with a uniformly distributed mass as well as concentrated masses at each level. The calculation relations are obtained on the assumption of harmonic variation of the forces acting at each level as well as the assumption of narrow band stationary random excitatory forces.

  7. The organizational and economic mechanism of economic safety management for international economic activity of machine-building enterprise

    Directory of Open Access Journals (Sweden)

    M.D. Domashenko

    2013-06-01

    Full Text Available Organizational-economic mechanism of economic safety management for foreign economic activity of machine-building enterprises, which includes management principles and stages of economic safety management for international economic activity of machine-building enterprises, is presented in the paper.The aim of the article. The aim of the article is formation of economic safety management for international economic activity of machine-building enterprises.The results of the analysis. It is noted by authors that management of economic safety of FEA of machine-building enterprise has to include development of principles of management, structure of the organizational and economic mechanism of management, functions, administrative decisions which together lead implementation of basic task maintenance of sufficient level of FEA economic safety.In the research it is noted that combination of principles of economic safety, economic activity in a uniform complex allows to influence the formation of the purposes of the company and to make reasonable administrative decisions. Operation of organizational and economic mechanism of management as economic safety of FEA of machine-building enterprise needs to be considered as the activity directed on achievement of the objectives of management, and to determine by criterion of a condition of such mechanism level of economic safety of FEA. In the paper stages of management are offered by economic safety of FEA and divided into two main components which are the analysis of economic safety of FEA at the enterprise and measures for its increase and supports. Thus, analysis of economic safety of FEA provides collecting and data processing on main aspects of economic safety, its quantitative and qualitative analysis, and actions on increases and maintenance of economic safety of FEA provide a choice and justification of maximum permissible level of economic safety of FEA a choice of instruments of increase and

  8. Localized Segment Based Processing for Automatic Building Extraction from LiDAR Data

    Science.gov (United States)

    Parida, G.; Rajan, K. S.

    2017-05-01

    The current methods of object segmentation and extraction and classification of aerial LiDAR data is manual and tedious task. This work proposes a technique for object segmentation out of LiDAR data. A bottom-up geometric rule based approach was used initially to devise a way to segment buildings out of the LiDAR datasets. For curved wall surfaces, comparison of localized surface normals was done to segment buildings. The algorithm has been applied to both synthetic datasets as well as real world dataset of Vaihingen, Germany. Preliminary results show successful segmentation of the buildings objects from a given scene in case of synthetic datasets and promissory results in case of real world data. The advantages of the proposed work is non-dependence on any other form of data required except LiDAR. It is an unsupervised method of building segmentation, thus requires no model training as seen in supervised techniques. It focuses on extracting the walls of the buildings to construct the footprint, rather than focussing on roof. The focus on extracting the wall to reconstruct the buildings from a LiDAR scene is crux of the method proposed. The current segmentation approach can be used to get 2D footprints of the buildings, with further scope to generate 3D models. Thus, the proposed method can be used as a tool to get footprints of buildings in urban landscapes, helping in urban planning and the smart cities endeavour.

  9. Using Standard-Sole Cost Method for Performance Gestion Accounting and Calculation Cost in the Machine Building Industry

    Directory of Open Access Journals (Sweden)

    Cleopatra Sendroiu

    2006-07-01

    Full Text Available The main purpose of improving and varying cost calculation methods in the machine building industry is to make them more operational and efficient in supplying the information necessary to the management in taking its decisions. The present cost calculation methods used in the machine building plants - global method and the method per orders - by which a historical cost is determined a posteriori used in deducting and post factum justification of manufacturing expenses does not offer the management the possibility to fully satisfy its need for information. We are talking about a change of conception in applying certain systems, methods and work techniques, according to the needs of efficient administration of production and the plant seen as a whole. The standard-cost method best answers to the needs of the effective management of the value side of the manufacturing process and raising economic efficiency. We consider that, in the machine building industry, these objectives can be achieved by using the standard - sole cost alternative of the standard-cost method.

  10. Using Standard-Sole Cost Method for Performance Gestion Accounting and Calculation Cost in the Machine Building Industry

    Directory of Open Access Journals (Sweden)

    Aureliana Geta Roman

    2006-09-01

    Full Text Available The main purpose of improving and varying cost calculation methods in the machine building industry is to make them more operational and efficient in supplying the information necessary to the management in taking its decisions. The present cost calculation methods used in the machine building plants – global method and the method per orders – by which a historical cost is determined a posteriori used in deducting and post factum justification of manufacturing expenses does not offer the management the possibility to fully satisfy its need for information. We are talking about a change of conception in applying certain systems, methods and work techniques, according to the needs of efficient administration of production and the plant seen as a whole. The standard-cost method best answers to the needs of the effective management of the value side of the manufacturing process and raising economic efficiency. We consider that, in the machine building industry, these objectives can be achieved by using the standard - sole cost alternative of the standard-cost method.

  11. New tools of relationship marketing for innovative projects of machine-building enterprises: crowdsourcing and crowdfunding

    Directory of Open Access Journals (Sweden)

    N.B. Kolotova

    2015-09-01

    Full Text Available The aim of the article. The aim of the article is justification of theoretical provisions for determining the nature and use of relationship marketing in innovative projects of machine-building enterprises. The results of the analysis. Today there are a lot of reasonable thoughts on the fundamental principles of relationship marketing concept origin. Generally, in our opinion, relationship marketing is a communication strategy intended to keep existing customers and to attract potential customers and key business partners. The peculiarity of the current development stage of information technologies is the widespread use of the following specific tools for development and commercialization of innovative projects: crowdsourcing and crowdfunding. These tools have already become a widely implemented in world practice and are vivid examples of a new interaction among subjects of innovation activity. Crowdsourcing and crowdfunding are relationship marketing tools by which a reduction of commercial risk innovative products is provided through attracting consumers in the processes of creating, testing, financing and promotion of new products, and so on. These tools use profound social nature of man, the desire to be «trailed» to something new (interesting, fashionable, promising, etc.. Marketing benefits of using crowdsourcing and crowdfunding for innovative projects are: - identifying of consumer preferences in the design stage of a new product; - the possibility to reduce the financial, intellectual and time spent on research, design, marketing research, etc.; - receiving of prior order and (or the advance payment for the projected product; - increasing customer loyalty, obtaining active «promoters», project’s «attorneys» as the clients; - the possibility of renewed interest in existing projects (food; - increasing interest in the innovative project on the part of other market entities (partners, investors, etc. on the basis of existing demand

  12. ScaleMT: a free/open-source framework for building scalable machine translation web services

    OpenAIRE

    Sánchez-Cartagena, Víctor M.; Pérez-Ortiz, Juan Antonio

    2009-01-01

    Machine translation web services usage is growing amazingly mainly because of the translation quality and reliability of the service provided by the Google Ajax Language API. To allow the open-source machine ranslation projects to compete with Google’s one and gain visibility on the internet, we have developed ScaleMT: a free/open-source framework that exposes existing machine translation engines as public web services. This framework is highly scalable as it can run coordinately on many serv...

  13. Automatic building detection based on Purposive FastICA (PFICA) algorithm using monocular high resolution Google Earth images

    Science.gov (United States)

    Ghaffarian, Saman; Ghaffarian, Salar

    2014-11-01

    This paper proposes an improved FastICA model named as Purposive FastICA (PFICA) with initializing by a simple color space transformation and a novel masking approach to automatically detect buildings from high resolution Google Earth imagery. ICA and FastICA algorithms are defined as Blind Source Separation (BSS) techniques for unmixing source signals using the reference data sets. In order to overcome the limitations of the ICA and FastICA algorithms and make them purposeful, we developed a novel method involving three main steps: 1-Improving the FastICA algorithm using Moore-Penrose pseudo inverse matrix model, 2-Automated seeding of the PFICA algorithm based on LUV color space and proposed simple rules to split image into three regions; shadow + vegetation, baresoil + roads and buildings, respectively, 3-Masking out the final building detection results from PFICA outputs utilizing the K-means clustering algorithm with two number of clusters and conducting simple morphological operations to remove noises. Evaluation of the results illustrates that buildings detected from dense and suburban districts with divers characteristics and color combinations using our proposed method have 88.6% and 85.5% overall pixel-based and object-based precision performances, respectively.

  14. 3MZ3132半自动精研机的改进%Improvement on 3MZ3132 semi-automatic finishing machine

    Institute of Scientific and Technical Information of China (English)

    崔滨; 赵晓君

    2013-01-01

      3MZ3132半自动精研机主要用于精研6300系列内圈滚道(幅高为37mm~62mm)。随着生产规模的扩大,需要精研6000系列和6200中轻系列内圈滚道(幅高为20mm~58mm)的加工,为此对该机床进行了改进。%Semi-automatic finishing machine 3MZ3132 is mainly used to finish the raceway of 6300 serial inner ring (height 37mm-62mm).With the expansion of production, the raceways of 6000 serial inner ring and the 6200 serial medium-sized and light inner ring(height 20mm-85mm) need to be grinded. Modify this machine on this purpose.

  15. INFLUENCE OF POWER SPENT ON OVERCOMING CUTTING RESISTANCE FORCES ON ELECTRIC MOTOR POWER IN SYSTEM OF AUTOMATIC MACHINE CONTROL WITH NUMERICAL PROGRAMMED CONTROL

    Directory of Open Access Journals (Sweden)

    Shuxin Xu

    2009-01-01

    Full Text Available If a defect unexpectedly arises in the direction of supply while working a «free» curve being distinguished by a arbitrary curvature and small value twisting from the given ones then there will be worsening of cutting process that will lead to surface defects of the machined surface or tool break down. A method of wave analysis has been used for an experimental study of power in specific frequency bands and a minimum cutter damage has been obtained which with power on a drive motor makes it possible to control supply, restoring the condition of cutting. A technical novelty of automatic control method has been proposed according to instantaneous defect by means wave change on a drive motor. The problem of quantitative assessment of machined surface defects has been successfully solved in the paper.

  16. Building an Internet Radio System with Interdisciplinary factored system for automatic content recommendation

    OpenAIRE

    Wołk, Krzysztof

    2016-01-01

    Automatic systems for music content recommendation have assumed a new role in recent years. These systems have transformed from being just a convenient, standalone tool into an inseparable element of modern living. In addition, not only do these systems strongly influence human moods and feelings with the selection of proper music content, but they also provide significant commercial and advertising opportunities. This research aims to examine and implement two such systems available for the ...

  17. 传火药柱自动化装压药设备%Automatic Filling and Pressing Machine for Gunpowder Column

    Institute of Scientific and Technical Information of China (English)

    何川; 孔淼; 刘彬

    2016-01-01

    In order to improve the quality and safety of gunpowder column, the automatic filling and pressing machine was developed based on certain gunpowder column pressing technique feature. The machine uses pneumatic execution device, and adopts PLC to control parameters in pressing process to realize automatic control in pressing process. The application results show the machine can ensure accuracy of weighing in 88±1 mg, height in 3.92±0.02 mm,higher than the requirements of the machine. It has high degree of automation, safe and reliable.%为提高传火药柱的产品质量和安全性,在结合某传火药柱压制工艺特点的基础上,研制出一台用于传火药柱的自动化装压药设备。该设备采用全气动执行机构,并由PLC对压药过程中的各项参数进行控制,实现了压药过程的全面可控。通过实际应用表明:该设备生产的药柱质量精度达到(87±1) mg,高度精度达到(3.92±0.02) mm,高于对设备的要求,且自动化程度高、安全可靠。

  18. 全自动栗子高速划口机设计%Design on Automatic High-speed Shell-cutting Machine for Chestnut

    Institute of Scientific and Technical Information of China (English)

    张聪

    2012-01-01

    This paper introduces a new type automatic high-speed shell-cutting machine for chestnut by o-riginal design. The machine is consisted of load plates, pressing mechanism, cutting mechanism and transmission system etc. When the machine is running, chestnuts are positioned conveyor, pressing clamp and continuous cutting. Chestnut shell-cutting is evenly, with adjustable depth. The machine design and test speed of up to 12500 - 15000A/ h ( single channel ).%介绍一套原创性设计的新型全自动栗子高速划口机.机器主要由载料模板、压合机构、切割机构及传动系统等组成,使栗子实现定位输送、压合夹持、连续切割,确保栗子表皮划口均匀、深度可调.机器设计及试验速度可达12500~ 15000个/h(单通道).

  19. Accuracy assessment of building point clouds automatically generated from iphone images

    Science.gov (United States)

    Sirmacek, B.; Lindenbergh, R.

    2014-06-01

    Low-cost sensor generated 3D models can be useful for quick 3D urban model updating, yet the quality of the models is questionable. In this article, we evaluate the reliability of an automatic point cloud generation method using multi-view iPhone images or an iPhone video file as an input. We register such automatically generated point cloud on a TLS point cloud of the same object to discuss accuracy, advantages and limitations of the iPhone generated point clouds. For the chosen example showcase, we have classified 1.23% of the iPhone point cloud points as outliers, and calculated the mean of the point to point distances to the TLS point cloud as 0.11 m. Since a TLS point cloud might also include measurement errors and noise, we computed local noise values for the point clouds from both sources. Mean (μ) and standard deviation (σ) of roughness histograms are calculated as (μ1 = 0.44 m., σ1 = 0.071 m.) and (μ2 = 0.025 m., σ2 = 0.037 m.) for the iPhone and TLS point clouds respectively. Our experimental results indicate possible usage of the proposed automatic 3D model generation framework for 3D urban map updating, fusion and detail enhancing, quick and real-time change detection purposes. However, further insights should be obtained first on the circumstances that are needed to guarantee a successful point cloud generation from smartphone images.

  20. Automatic Building Detection based on Supervised Classification using High Resolution Google Earth Images

    OpenAIRE

    Ghaffarian, S.

    2014-01-01

    This paper presents a novel approach to detect the buildings by automization of the training area collecting stage for supervised classification. The method based on the fact that a 3d building structure should cast a shadow under suitable imaging conditions. Therefore, the methodology begins with the detection and masking out the shadow areas using luminance component of the LAB color space, which indicates the lightness of the image, and a novel double thresholding technique. Furth...

  1. Automatic 3D Extraction of Buildings, Vegetation and Roads from LIDAR Data

    Directory of Open Access Journals (Sweden)

    A. Bellakaout

    2016-06-01

    A second algorithm is developed to segment the uniform surface into buildings roofs, roads and ground, the second phase of classification based on the topological relationship and height variation analysis, The proposed approach has been tested using two areas : the first is a housing complex and the second is a primary school. The proposed approach led to successful classification results of buildings, vegetation and road classes.

  2. FUEL SAVING AT METAL HEATING IN FURNACES OF MACHINE-BUILDING ENTERPRISES

    Directory of Open Access Journals (Sweden)

    A. A. Shipko

    2010-01-01

    Full Text Available Economical efficiency of application of recuperative burners as compared to the modern traditional burners together with central recuperator and its system of control and automatic is shown.

  3. From Laser Scanning to Finite Element Analysis of Complex Buildings by Using a Semi-Automatic Procedure.

    Science.gov (United States)

    Castellazzi, Giovanni; D'Altri, Antonio Maria; Bitelli, Gabriele; Selvaggi, Ilenia; Lambertini, Alessandro

    2015-07-28

    In this paper, a new semi-automatic procedure to transform three-dimensional point clouds of complex objects to three-dimensional finite element models is presented and validated. The procedure conceives of the point cloud as a stacking of point sections. The complexity of the clouds is arbitrary, since the procedure is designed for terrestrial laser scanner surveys applied to buildings with irregular geometry, such as historical buildings. The procedure aims at solving the problems connected to the generation of finite element models of these complex structures by constructing a fine discretized geometry with a reduced amount of time and ready to be used with structural analysis. If the starting clouds represent the inner and outer surfaces of the structure, the resulting finite element model will accurately capture the whole three-dimensional structure, producing a complex solid made by voxel elements. A comparison analysis with a CAD-based model is carried out on a historical building damaged by a seismic event. The results indicate that the proposed procedure is effective and obtains comparable models in a shorter time, with an increased level of automation.

  4. Man vs. Machine: An interactive poll to evaluate hydrological model performance of a manual and an automatic calibration

    Science.gov (United States)

    Wesemann, Johannes; Burgholzer, Reinhard; Herrnegger, Mathew; Schulz, Karsten

    2017-04-01

    In recent years, a lot of research in hydrological modelling has been invested to improve the automatic calibration of rainfall-runoff models. This includes for example (1) the implementation of new optimisation methods, (2) the incorporation of new and different objective criteria and signatures in the optimisation and (3) the usage of auxiliary data sets apart from runoff. Nevertheless, in many applications manual calibration is still justifiable and frequently applied. The hydrologist performing the manual calibration, with his expert knowledge, is able to judge the hydrographs simultaneously concerning details but also in a holistic view. This integrated eye-ball verification procedure available to man can be difficult to formulate in objective criteria, even when using a multi-criteria approach. Comparing the results of automatic and manual calibration is not straightforward. Automatic calibration often solely involves objective criteria such as Nash-Sutcliffe Efficiency Coefficient or the Kling-Gupta-Efficiency as a benchmark during the calibration. Consequently, a comparison based on such measures is intrinsically biased towards automatic calibration. Additionally, objective criteria do not cover all aspects of a hydrograph leaving questions concerning the quality of a simulation open. This contribution therefore seeks to examine the quality of manually and automatically calibrated hydrographs by interactively involving expert knowledge in the evaluation. Simulations have been performed for the Mur catchment in Austria with the rainfall-runoff model COSERO using two parameter sets evolved from a manual and an automatic calibration. A subset of resulting hydrographs for observation and simulation, representing the typical flow conditions and events, will be evaluated in this study. In an interactive crowdsourcing approach experts attending the session can vote for their preferred simulated hydrograph without having information on the calibration method that

  5. Automatic 3D building reconstruction from airbornelaser scanning and cadastral data using hough transform

    DEFF Research Database (Denmark)

    Bodum, Lars; Overby, Jens; Kjems, Erik

    2004-01-01

    degree of details. However, it is possible to create virtual 3D models of buildings, by processing these data. Roof polygons are generated using airborne laser scanning of 1x1 meter grid and ground plans (footprints) extracted from technical feature maps. An effective algorithm is used for fixing...

  6. Automatic building extraction from LiDAR data fusion of point and grid-based features

    Science.gov (United States)

    Du, Shouji; Zhang, Yunsheng; Zou, Zhengrong; Xu, Shenghua; He, Xue; Chen, Siyang

    2017-08-01

    This paper proposes a method for extracting buildings from LiDAR point cloud data by combining point-based and grid-based features. To accurately discriminate buildings from vegetation, a point feature based on the variance of normal vectors is proposed. For a robust building extraction, a graph cuts algorithm is employed to combine the used features and consider the neighbor contexture information. As grid feature computing and a graph cuts algorithm are performed on a grid structure, a feature-retained DSM interpolation method is proposed in this paper. The proposed method is validated by the benchmark ISPRS Test Project on Urban Classification and 3D Building Reconstruction and compared to the state-art-of-the methods. The evaluation shows that the proposed method can obtain a promising result both at area-level and at object-level. The method is further applied to the entire ISPRS dataset and to a real dataset of the Wuhan City. The results show a completeness of 94.9% and a correctness of 92.2% at the per-area level for the former dataset and a completeness of 94.4% and a correctness of 95.8% for the latter one. The proposed method has a good potential for large-size LiDAR data.

  7. Automatic repair of CityGML LOD2 buildings using shrink-wrapping

    NARCIS (Netherlands)

    Zhao, Z.; Ledoux, H.; Stoter, J.E.

    2013-01-01

    The LoD2 building models defined in CityGML are widely used in 3D city applications. The underlying geometry for such models is a GML solid (without interior shells), whose boundary should be a closed 2-manifold. However, this condition is often violated in practice because of the way LoD2 models ar

  8. Comparison of machine-learning algorithms to build a predictive model for detecting undiagnosed diabetes - ELSA-Brasil: accuracy study.

    Science.gov (United States)

    Olivera, André Rodrigues; Roesler, Valter; Iochpe, Cirano; Schmidt, Maria Inês; Vigo, Álvaro; Barreto, Sandhi Maria; Duncan, Bruce Bartholow

    2017-01-01

    Type 2 diabetes is a chronic disease associated with a wide range of serious health complications that have a major impact on overall health. The aims here were to develop and validate predictive models for detecting undiagnosed diabetes using data from the Longitudinal Study of Adult Health (ELSA-Brasil) and to compare the performance of different machine-learning algorithms in this task. Comparison of machine-learning algorithms to develop predictive models using data from ELSA-Brasil. After selecting a subset of 27 candidate variables from the literature, models were built and validated in four sequential steps: (i) parameter tuning with tenfold cross-validation, repeated three times; (ii) automatic variable selection using forward selection, a wrapper strategy with four different machine-learning algorithms and tenfold cross-validation (repeated three times), to evaluate each subset of variables; (iii) error estimation of model parameters with tenfold cross-validation, repeated ten times; and (iv) generalization testing on an independent dataset. The models were created with the following machine-learning algorithms: logistic regression, artificial neural network, naïve Bayes, K-nearest neighbor and random forest. The best models were created using artificial neural networks and logistic regression. -These achieved mean areas under the curve of, respectively, 75.24% and 74.98% in the error estimation step and 74.17% and 74.41% in the generalization testing step. Most of the predictive models produced similar results, and demonstrated the feasibility of identifying individuals with highest probability of having undiagnosed diabetes, through easily-obtained clinical data.

  9. A Semi-Automatic and Low Cost Approach to Build Scalable Lemma-based Lexical Resources for Arabic Verbs

    Directory of Open Access Journals (Sweden)

    Noureddine Doumi

    2016-02-01

    Full Text Available —This work presents a method that enables Arabic NLP community to build scalable lexical resources. The proposed method is low cost and efficient in time in addition to its scalability and extendibility. The latter is reflected in the ability for the method to be incremental in both aspects, processing resources and generating lexicons. Using a corpus; firstly, tokens are drawn from the corpus and lemmatized. Secondly, finite state transducers (FSTs are generated semi-automatically. Finally, FSTs are used to produce all possible inflected verb forms with their full morphological features. Among the algorithm’s strength is its ability to generate transducers having 184 transitions, which is very cumbersome, if manually designed. The second strength is a new inflection scheme of Arabic verbs; this increases the efficiency of FST generation algorithm. The experimentation uses a representative corpus of Modern Standard Arabic. The number of semi-automatically generated transducers is 171. The resulting open lexical resources coverage is high. Our resources cover more than 70% Arabic verbs. The built resources contain 16,855 verb lemmas and 11,080,355 fully, partially and not vocalized verbal inflected forms. All these resources are being made public and currently used as an open package in the Unitex framework available under the LGPL license.

  10. 自动水泥装车与堆垛设备控制系统设计%Control system design of automatic cement loading machine and stacking machine facility

    Institute of Scientific and Technical Information of China (English)

    陈作炳; 杨贤贵; 李雪婧

    2011-01-01

    In order to solve the problems that the process flows of cement loading machine and stackers interiorly still depends on artificially labor and the working conditions are poor presently, the automatic control technology was investigated. After the analysis of the process flows of cement loading machine and stackers, an automatic control system was developed by Siemens S7-200 PLC, the hardware system and software system were designed, the automatization of equipment was implemented ultimately. This system has simple operation, reliable control, convenient maintenance, high performance-to-price and has strong market competitiveness. The experimental results show that the system reduces manual control in the production process, and raises the production efficiency and safety coefficient consequently.%为解决目前国内袋式水泥装车与堆垛工艺仍靠人工劳动和工作环境恶劣的问题,将自动控制技术应用到水泥装车与堆垛工艺中.在充分分析研究水泥装车机与堆垛机工艺流程的基础上,利用西门子S7-200型PLC开发水泥装车与堆垛设备及其自动控制系统,进行了控制系统硬件设计及软件设计,使该设备基本实现了自动化.研究结果表明,该系统操作简单,控制可靠,维护方便,性价比高,具有较强的市场竞争力.此系统大大降低了生产过程中的人工操作,提高了生产效率及安全系数.

  11. DETERMINATION OF MAIN OUTPUT PARAMETERS FOR HYDROFICATED CONSTRUCTION AND ROAD-BUILDING MACHINES AT OPERATIONAL STAGE OF THEIR LIFE CYCLE

    Directory of Open Access Journals (Sweden)

    A. N. Maximenko

    2014-01-01

    fact must be taken account while creating a machine and using it for its intended operational purpose and ensuring its operating capability. The proposed methodology for maintaining and restoration of operating capability of construction and road-building machines was published previously [3]. The paper proposes a methodology for its implementation on the basis of expenses for machine manufacturing and dynamics of main output parameters at the operational stage of its life cycle.

  12. Research Artillery Automatic Machine Fault Diagnosis%火炮自动机故障诊断研究综述

    Institute of Scientific and Technical Information of China (English)

    武春林; 潘宏侠

    2013-01-01

    In the paper the authors narrated the significance of the automatic mechanism of artillery fault diagnosis, analyzed the normal faults , and introduced the methods about automatic mechanism of artillery work status monitoring and fault diagnosis in common use, and its principle and characteristics. The difficulties and the developing direction of the automatic mechanism of artillery fault diagnosis were put for⁃ward in the end.%  叙述了火炮自动机故障诊断的意义,对火炮自动机常见的故障进行了分析,并介绍了国内外一些常见的火炮自动机状态监测与故障诊断的方法及其原理和特点,最后提出了火炮自动机的故障诊断的难点和发展方向。

  13. Automatic method for building indoor boundary models from dense point clouds collected by laser scanners.

    Science.gov (United States)

    Valero, Enrique; Adán, Antonio; Cerrada, Carlos

    2012-11-22

    In this paper we present a method that automatically yields Boundary Representation Models (B-rep) for indoors after processing dense point clouds collected by laser scanners from key locations through an existing facility. Our objective is particularly focused on providing single models which contain the shape, location and relationship of primitive structural elements of inhabited scenarios such as walls, ceilings and floors. We propose a discretization of the space in order to accurately segment the 3D data and generate complete B-rep models of indoors in which faces, edges and vertices are coherently connected. The approach has been tested in real scenarios with data coming from laser scanners yielding promising results. We have deeply evaluated the results by analyzing how reliably these elements can be detected and how accurately they are modeled.

  14. Towards automatic indoor reconstruction of cluttered building rooms from point clouds

    Science.gov (United States)

    Previtali, M.; Barazzetti, L.; Brumana, R.; Scaioni, M.

    2014-05-01

    Terrestrial laser scanning is increasingly used in architecture and building engineering for as-built modelling of large and medium size civil structures. However, raw point clouds derived from laser scanning survey are generally not directly ready for generation of such models. A manual modelling phase has to be undertaken to edit and complete 3D models, which may cover indoor or outdoor environments. This paper presents an automated procedure to turn raw point clouds into semantically-enriched models of building interiors. The developed method mainly copes with a geometric complexity typical of indoor scenes with prevalence of planar surfaces, such as walls, floors and ceilings. A characteristic aspect of indoor modelling is the large amount of clutter and occlusion that may characterize any point clouds. For this reason the developed reconstruction pipeline was designed to recover and complete missing parts in a plausible way. The accuracy of the presented method was evaluated against traditional manual modelling and showed comparable results.

  15. T型管自动焊机适时控制系统设计%Design of Timely Controlling System of T-Shape Automatic Welding Machine

    Institute of Scientific and Technical Information of China (English)

    苗雨来; 梁楚华; 周建平; 高军义

    2012-01-01

    In order to improve the welding quality of T-shape automatic welding machine for the welding process, according to phenomenon of the actual welding path which can not fit the theoretical definition of the path,an optical detection system is researched and designed to achieve the timely detection of the actual weld location and feedback to achieve timely control purposes.The system is used to detect the actual location of horizontal pipe and vertical pipe deformation of T-shape work-piece which is mainly caused by punch accuracy or thermal deformation in the welding process ,and then achieve timely control function of the T梥hape automatic welding machine.The system has achieved good results in the production, ensuring the welding quality,and improves the welding efficiency of radiator pipe welding;it is a key technology for the development o/T-shape automatic welding machine.%为了提高T型管自动焊机的焊接质量,针对焊接过程中,实际焊接路径不能与理论定义路径吻合的问题,研究并设计出一套光电检测系统,用来实现对实际焊缝位置的适时检测与反馈,达到适时控制的目的.系统主要是对焊接过程中,由于打孔精度或者热变形等因素造成的T型管焊件横向管与纵向管变形后焊缝实际位置的适时检测,从而实现T型管自动焊机适时控制的功能.该系统在钢制散热器管道焊接生产中取得了良好的效果,很好的保证了焊接质量,并提高了焊接效率,是T型管自动焊机发展的一项关键技术,是T型管自动焊机发展的一项关键技术.

  16. Automatic Building Extraction and Roof Reconstruction in 3k Imagery Based on Line Segments

    Science.gov (United States)

    Köhn, A.; Tian, J.; Kurz, F.

    2016-06-01

    We propose an image processing workflow to extract rectangular building footprints using georeferenced stereo-imagery and a derivative digital surface model (DSM) product. The approach applies a line segment detection procedure to the imagery and subsequently verifies identified line segments individually to create a footprint on the basis of the DSM. The footprint is further optimized by morphological filtering. Towards the realization of 3D models, we decompose the produced footprint and generate a 3D point cloud from DSM height information. By utilizing the robust RANSAC plane fitting algorithm, the roof structure can be correctly reconstructed. In an experimental part, the proposed approach has been performed on 3K aerial imagery.

  17. bcgTree: automatized phylogenetic tree building from bacterial core genomes.

    Science.gov (United States)

    Ankenbrand, Markus J; Keller, Alexander

    2016-10-01

    The need for multi-gene analyses in scientific fields such as phylogenetics and DNA barcoding has increased in recent years. In particular, these approaches are increasingly important for differentiating bacterial species, where reliance on the standard 16S rDNA marker can result in poor resolution. Additionally, the assembly of bacterial genomes has become a standard task due to advances in next-generation sequencing technologies. We created a bioinformatic pipeline, bcgTree, which uses assembled bacterial genomes either from databases or own sequencing results from the user to reconstruct their phylogenetic history. The pipeline automatically extracts 107 essential single-copy core genes, found in a majority of bacteria, using hidden Markov models and performs a partitioned maximum-likelihood analysis. Here, we describe the workflow of bcgTree and, as a proof-of-concept, its usefulness in resolving the phylogeny of 293 publically available bacterial strains of the genus Lactobacillus. We also evaluate its performance in both low- and high-level taxonomy test sets. The tool is freely available at github ( https://github.com/iimog/bcgTree ) and our institutional homepage ( http://www.dna-analytics.biozentrum.uni-wuerzburg.de ).

  18. Automatic Detection and Segmentation of Columns in As-Built Buildings from Point Clouds

    Directory of Open Access Journals (Sweden)

    Lucía Díaz-Vilariño

    2015-11-01

    Full Text Available Over the past few years, there has been an increasing need for tools that automate the processing of as-built 3D laser scanner data. Given that a fast and active dimensional analysis of constructive components is essential for construction monitoring, this paper is particularly focused on the detection and segmentation of columns in building interiors from incomplete point clouds acquired with a Terrestrial Laser Scanner. The methodology addresses two types of columns: round cross-section and rectangular cross-section. Considering columns as vertical elements, the global strategy for segmentation involves the rasterization of a point cloud onto the XY plane and the implementation of a model-driven approach based on the Hough Transform. The methodology is tested in two real case studies, and experiments are carried out under different levels of data completeness. The results show the robustness of the methodology to the presence of clutter and partial occlusion, typical in building indoors, even though false positives can be obtained if other elements with the same shape and size as columns are present in the raster.

  19. Automatic urban 3D building reconstruction from multi-ray photogrammetry

    Science.gov (United States)

    McClune, A. P.; Miller, P. E.; Mills, J. P.; Holland, D.

    2014-08-01

    Over the last 20 years the use of, and demand for, three dimensional (3D) building models has meant there has been a vast amount of research conducted in automating the extraction and reconstruction of these models from airborne sensors. Whilst many different approaches have been suggested, full automation is yet to be achieved and research has suggested that the combination of data from multiple sources is required in order to achieve this. Developments in digital photogrammetry have delivered improvements in spatial resolution whilst higher image overlap to increase the number of pixel correspondents between images, giving the name multi-ray photogrammetry, has improved the resolution and quality of its by-products. In this paper the extraction of roof geometry from multiray photogrammetry will be covered, which underpins 3D building reconstruction. Using orthophotos, roof vertices are extracted using the Canny edge detector. Roof planes are detected from digital surface models (DSM) by extracting information from 2D cross sections and measuring height differences. To eliminate overhanging vegetation, the segmentation of trees is investigated by calculating the characteristics of a point within a local neighbourhood of the photogrammetric point cloud. The results highlight the complementary nature of these information sources, and a methodology for integration and reconstruction of roof geometry is proposed.

  20. Social collective intelligence: combining the powers of humans and machines to build a smarter society

    NARCIS (Netherlands)

    Miorandi, Daniele; Maltese, Vincenzo; Rovatsos, Michael; Nijholt, Anton; Stewart, James

    2014-01-01

    The book focuses on Social Collective Intelligence, a term used to denote a class of socio-technical systems that combine, in a coordinated way, the strengths of humans, machines and collectives in terms of competences, knowledge and problem solving capabilities with the communication, computing and

  1. Social collective intelligence: combining the powers of humans and machines to build a smarter society

    NARCIS (Netherlands)

    Miorandi, Daniele; Maltese, Vincenzo; Rovatsos, Michael; Nijholt, Antinus; Stewart, James

    2014-01-01

    The book focuses on Social Collective Intelligence, a term used to denote a class of socio-technical systems that combine, in a coordinated way, the strengths of humans, machines and collectives in terms of competences, knowledge and problem solving capabilities with the communication, computing and

  2. Using Support Vector Machines to Automatically Extract Open Water Signatures from POLDER Multi-Angle Data Over Boreal Regions

    Science.gov (United States)

    Pierce, J.; Diaz-Barrios, M.; Pinzon, J.; Ustin, S. L.; Shih, P.; Tournois, S.; Zarco-Tejada, P. J.; Vanderbilt, V. C.; Perry, G. L.; Brass, James A. (Technical Monitor)

    2002-01-01

    This study used Support Vector Machines to classify multiangle POLDER data. Boreal wetland ecosystems cover an estimated 90 x 10(exp 6) ha, about 36% of global wetlands, and are a major source of trace gases emissions to the atmosphere. Four to 20 percent of the global emission of methane to the atmosphere comes from wetlands north of 4 degrees N latitude. Large uncertainties in emissions exist because of large spatial and temporal variation in the production and consumption of methane. Accurate knowledge of the areal extent of open water and inundated vegetation is critical to estimating magnitudes of trace gas emissions. Improvements in land cover mapping have been sought using physical-modeling approaches, neural networks, and active microwave, examples that demonstrate the difficulties of separating open water, inundated vegetation and dry upland vegetation. Here we examine the feasibility of using a support vector machine to classify POLDER data representing open water, inundated vegetation and dry upland vegetation.

  3. An automatic segmentation method for building facades from vehicle-borne LiDAR point cloud data based on fundamental geographical data

    Science.gov (United States)

    Li, Yongqiang; Mao, Jie; Cai, Lailiang; Zhang, Xitong; Li, Lixue

    2016-03-01

    In this paper, the author proposed a segmentation method based on the fundamental geographic data, the algorithm describes as following: Firstly, convert the coordinate system of fundamental geographic data to that of vehicle- borne LiDAR point cloud though some data preprocessing work, and realize the coordinate system between them; Secondly, simplify the feature of fundamental geographic data, extract effective contour information of the buildings, then set a suitable buffer threshold value for building contour, and segment out point cloud data of building facades automatically; Thirdly, take a reasonable quality assessment mechanism, check and evaluate of the segmentation results, control the quality of segmentation result. Experiment shows that the proposed method is simple and effective. The method also has reference value for the automatic segmentation for surface features of other types of point cloud.

  4. Design of coconut automatic incising machine%椰子自动切口机的设计

    Institute of Scientific and Technical Information of China (English)

    毛舟; 樊军庆; 张信禹

    2013-01-01

    In order to cut the coconut shell and ensure the complete coconut shell for Hainan specialty food, coconut rice,a coconut incising machine has been designed. By satisfying the incision requirement, the thickness of tool should be as small as possible, in order to cover the coconut shell back to the coconut. The machine circular disc is rotating driven by motor. Coconuts were incising by plate-shaped cutting blade mounted on the fixture. And design the transmission system of coconut cutting machine. Considering the shape of coconut, flexible mechanical claw, cylindrical cam and height adjustable turret has been designed. After the debugging of coconut incising machine, the efficiency of incision is 30~40/min.%为了将椰子壳切开并保证椰壳完整,设计一款椰子切口机,在满足切口要求的条件下,刀具厚度应尽可能小,以便将切下的椰壳盖回椰子上.该机采用电机带动圆形工作盘转动,盘形切割锯片对安装在夹具的椰子进行切口,并设计椰子切口机的传动系统;考虑椰子形状,设计柔性机械爪、圆柱凸轮和可调节高度的刀架.对切口机进行调试,切口效率为30~40个/min.

  5. Automatic event detection in low SNR microseismic signals based on multi-scale permutation entropy and a support vector machine

    Science.gov (United States)

    Jia, Rui-Sheng; Sun, Hong-Mei; Peng, Yan-Jun; Liang, Yong-Quan; Lu, Xin-Ming

    2016-12-01

    Microseismic monitoring is an effective means for providing early warning of rock or coal dynamical disasters, and its first step is microseismic event detection, although low SNR microseismic signals often cannot effectively be detected by routine methods. To solve this problem, this paper presents permutation entropy and a support vector machine to detect low SNR microseismic events. First, an extraction method of signal features based on multi-scale permutation entropy is proposed by studying the influence of the scale factor on the signal permutation entropy. Second, the detection model of low SNR microseismic events based on the least squares support vector machine is built by performing a multi-scale permutation entropy calculation for the collected vibration signals, constructing a feature vector set of signals. Finally, a comparative analysis of the microseismic events and noise signals in the experiment proves that the different characteristics of the two can be fully expressed by using multi-scale permutation entropy. The detection model of microseismic events combined with the support vector machine, which has the features of high classification accuracy and fast real-time algorithms, can meet the requirements of online, real-time extractions of microseismic events.

  6. Automatic event detection in low SNR microseismic signals based on multi-scale permutation entropy and a support vector machine

    Science.gov (United States)

    Jia, Rui-Sheng; Sun, Hong-Mei; Peng, Yan-Jun; Liang, Yong-Quan; Lu, Xin-Ming

    2017-07-01

    Microseismic monitoring is an effective means for providing early warning of rock or coal dynamical disasters, and its first step is microseismic event detection, although low SNR microseismic signals often cannot effectively be detected by routine methods. To solve this problem, this paper presents permutation entropy and a support vector machine to detect low SNR microseismic events. First, an extraction method of signal features based on multi-scale permutation entropy is proposed by studying the influence of the scale factor on the signal permutation entropy. Second, the detection model of low SNR microseismic events based on the least squares support vector machine is built by performing a multi-scale permutation entropy calculation for the collected vibration signals, constructing a feature vector set of signals. Finally, a comparative analysis of the microseismic events and noise signals in the experiment proves that the different characteristics of the two can be fully expressed by using multi-scale permutation entropy. The detection model of microseismic events combined with the support vector machine, which has the features of high classification accuracy and fast real-time algorithms, can meet the requirements of online, real-time extractions of microseismic events.

  7. Fully automatized renal parenchyma volumetry using a support vector machine based recognition system for subject-specific probability map generation in native MR volume data

    Science.gov (United States)

    Gloger, Oliver; Tönnies, Klaus; Mensel, Birger; Völzke, Henry

    2015-11-01

    In epidemiological studies as well as in clinical practice the amount of produced medical image data strongly increased in the last decade. In this context organ segmentation in MR volume data gained increasing attention for medical applications. Especially in large-scale population-based studies organ volumetry is highly relevant requiring exact organ segmentation. Since manual segmentation is time-consuming and prone to reader variability, large-scale studies need automatized methods to perform organ segmentation. Fully automatic organ segmentation in native MR image data has proven to be a very challenging task. Imaging artifacts as well as inter- and intrasubject MR-intensity differences complicate the application of supervised learning strategies. Thus, we propose a modularized framework of a two-stepped probabilistic approach that generates subject-specific probability maps for renal parenchyma tissue, which are refined subsequently by using several, extended segmentation strategies. We present a three class-based support vector machine recognition system that incorporates Fourier descriptors as shape features to recognize and segment characteristic parenchyma parts. Probabilistic methods use the segmented characteristic parenchyma parts to generate high quality subject-specific parenchyma probability maps. Several refinement strategies including a final shape-based 3D level set segmentation technique are used in subsequent processing modules to segment renal parenchyma. Furthermore, our framework recognizes and excludes renal cysts from parenchymal volume, which is important to analyze renal functions. Volume errors and Dice coefficients show that our presented framework outperforms existing approaches.

  8. A universal support vector machines based method for automatic event location in waveforms and video-movies: applications to massive nuclear fusion databases.

    Science.gov (United States)

    Vega, J; Murari, A; González, S

    2010-02-01

    Big physics experiments can collect terabytes (even petabytes) of data under continuous or long pulse basis. The measurement systems that follow the temporal evolution of physical quantities translate their observations into very large time-series data and video-movies. This article describes a universal and automatic technique to recognize and locate inside waveforms and video-films both signal segments with data of potential interest for specific investigations and singular events. The method is based on regression estimations of the signals using support vector machines. A reduced number of the samples is shown as outliers in the regression process and these samples allow the identification of both special signatures and singular points. Results are given with the database of the JET fusion device: location of sawteeth in soft x-ray signals to automate the plasma incremental diffusivity computation, identification of plasma disruptive behaviors with its automatic time instant determination, and, finally, recognition of potential interesting plasma events from infrared video-movies.

  9. MO-G-BRE-04: Automatic Verification of Daily Treatment Deliveries and Generation of Daily Treatment Reports for a MR Image-Guided Treatment Machine

    Energy Technology Data Exchange (ETDEWEB)

    Yang, D; Li, X; Li, H; Wooten, H; Green, O; Rodriguez, V; Mutic, S [Washington University School of Medicine, St. Louis, MO (United States)

    2014-06-15

    Purpose: Two aims of this work were to develop a method to automatically verify treatment delivery accuracy immediately after patient treatment and to develop a comprehensive daily treatment report to provide all required information for daily MR-IGRT review. Methods: After systematically analyzing the requirements for treatment delivery verification and understanding the available information from a novel MR-IGRT treatment machine, we designed a method to use 1) treatment plan files, 2) delivery log files, and 3) dosimetric calibration information to verify the accuracy and completeness of daily treatment deliveries. The method verifies the correctness of delivered treatment plans and beams, beam segments, and for each segment, the beam-on time and MLC leaf positions. Composite primary fluence maps are calculated from the MLC leaf positions and the beam-on time. Error statistics are calculated on the fluence difference maps between the plan and the delivery. We also designed the daily treatment delivery report by including all required information for MR-IGRT and physics weekly review - the plan and treatment fraction information, dose verification information, daily patient setup screen captures, and the treatment delivery verification results. Results: The parameters in the log files (e.g. MLC positions) were independently verified and deemed accurate and trustable. A computer program was developed to implement the automatic delivery verification and daily report generation. The program was tested and clinically commissioned with sufficient IMRT and 3D treatment delivery data. The final version has been integrated into a commercial MR-IGRT treatment delivery system. Conclusion: A method was developed to automatically verify MR-IGRT treatment deliveries and generate daily treatment reports. Already in clinical use since December 2013, the system is able to facilitate delivery error detection, and expedite physician daily IGRT review and physicist weekly chart

  10. Study on Full Automatic Butterfly Type Cone Twist Wrapping Machine%全自动蝶式圆台扭结包装机研发

    Institute of Scientific and Technical Information of China (English)

    王成山; 何伟; 卢小敏

    2016-01-01

    The design of automatic butterfly type cone twist wrapping machine fills the product gap in do-mestic market.It is suitable to serialization and intermittent multi function packaging,and could be used for standard colorless and color packaging.Intelligent control system is employed to control servo motor driving the paper feeding mechanism,photoelectric switch,decoder,proximity switch and mechanical driving devices. The designed machine is reliable and practical.It is composed of five parts:arrange part,feed part,cutter, folding twist part and photoelectric control system.%全自动蝶式圆台扭结包装机是自主研发设计的填补国内空白产品。它适用于系列化、间歇式多功能包装机,可用于无色标和有色标包装材料的物料包装,该机采用的智能控制系统,由伺服电机带动送纸机构、光电开关、编码器、接近开关、机械传动等装置组成、性能可靠效率高。本机由理料、进料、切纸、折叠扭结及光电控制系等五部分组成。

  11. 基于ATmega128的智能浇花机的设计%An Automatic Water Machine Design Based on ATmega128

    Institute of Scientific and Technical Information of China (English)

    周程; 朱兆优; 刘雪枫

    2014-01-01

    Many people like to cultivate plants,but always forget to water them.This paper designed a ma-chine that can automatic watering the flowers.ATmega128 is MCU,the power supplied by battery,it has nine timer that can set when to water and when to shut.When the time is reached,the MCU output signal to control the relay throw the opticalcouple,and the water pump is be turned on,the machine begin to water.%很多人喜欢种植花草盆景,但却疏于对花草的灌溉。该文设计了可以自动浇花的装置。以ATmega128单片机为主控单元,以干电池作为电源,设置9个定时器,可以设置浇花时间和灌溉时间,到达定时时间后,单片机输出的信号通过光耦控制继电器工作,打开水泵,装置工作开始浇花。

  12. Automatic segmentation of airway tree based on local intensity filter and machine learning technique in 3D chest CT volume.

    Science.gov (United States)

    Meng, Qier; Kitasaka, Takayuki; Nimura, Yukitaka; Oda, Masahiro; Ueno, Junji; Mori, Kensaku

    2017-02-01

    Airway segmentation plays an important role in analyzing chest computed tomography (CT) volumes for computerized lung cancer detection, emphysema diagnosis and pre- and intra-operative bronchoscope navigation. However, obtaining a complete 3D airway tree structure from a CT volume is quite a challenging task. Several researchers have proposed automated airway segmentation algorithms basically based on region growing and machine learning techniques. However, these methods fail to detect the peripheral bronchial branches, which results in a large amount of leakage. This paper presents a novel approach for more accurate extraction of the complex airway tree. This proposed segmentation method is composed of three steps. First, Hessian analysis is utilized to enhance the tube-like structure in CT volumes; then, an adaptive multiscale cavity enhancement filter is employed to detect the cavity-like structure with different radii. In the second step, support vector machine learning will be utilized to remove the false positive (FP) regions from the result obtained in the previous step. Finally, the graph-cut algorithm is used to refine the candidate voxels to form an integrated airway tree. A test dataset including 50 standard-dose chest CT volumes was used for evaluating our proposed method. The average extraction rate was about 79.1 % with the significantly decreased FP rate. A new method of airway segmentation based on local intensity structure and machine learning technique was developed. The method was shown to be feasible for airway segmentation in a computer-aided diagnosis system for a lung and bronchoscope guidance system.

  13. Automatic System for the D.C. High Voltage Qualification of the Superconducting Electrical Circuits of the LHC Machine

    CERN Document Server

    Bozzini, D; Russenschuck, Stephan; Bednarek, M; Jurkiewicz, P; Kotarba, A; Ludwin, J; Olek, S

    2008-01-01

    A d.c. high voltage test system has been developed to verify automatically the insulation resistance of the powering circuits of the LHC. In the most complex case, up to 72 circuits share the same volume inside cryogenic lines. Each circuit can have an insulation fault versus any other circuit or versus ground. The system is able to connect up to 80 circuits and apply a voltage up to 2 kV D.C. The leakage current flowing through each circuit is measured within a range of 1 nA to 1.6 mA. The matrix of measurements allows characterizing the paths taken by the currents and locating weak points of the insulation between circuits. The system is composed of a D.C. voltage source and a data acquisition card. The card is able to measure with precision currents and voltages and to drive up to 5 high voltage switching modules offering 16 channels each. A LabVIEW application controls the system for an automatic and safe operation. This paper describes the hardware and software design, the testing methodology and the res...

  14. Novel Approach for Automatic Detection of Atrial Fibrillation Based on Inter Beat Intervals and Support Vector Machine

    DEFF Research Database (Denmark)

    Andersen, Rasmus S.; Poulsen, Erik S.; Puthusserypady, Sadasivan

    2017-01-01

    for AF detection based on Inter Beat Intervals (IBI) extracted from long term electrocardiogram (ECG) recordings. Five time-domain features are extracted from the IBIs and a Support Vector Machine (SVM) is used for classification. The results are compared to a state of the art algorithm based on raw ECG....... Both algorithms are evaluated on the MIT-BIH Atrial Fibrillation database resulting in equally high classification performance (Sensitivity≥ 95%). The proposed approach requires detection of R-peaks in the ECG signal but allows for significantly reduced computation time without loss of performance....

  15. Social collective intelligence combining the powers of humans and machines to build a smarter society

    CERN Document Server

    Miorandi, Daniele; Rovatsos, Michael

    2014-01-01

    The book focuses on Social Collective Intelligence, a term used to denote a class of socio-technical systems that combine, in a coordinated way, the strengths of humans, machines and collectives in terms of competences, knowledge and problem solving capabilities with the communication, computing and storage capabilities of advanced ICT.Social Collective Intelligence opens a number of challenges for researchers in both computer science and social sciences; at the same time it provides an innovative approach to solve challenges in diverse application domains, ranging from health to education

  16. 我院自动包药机单剂量调剂模式实施情况及体会%Implementation and Experience of Unit-dose Dispensing Mode of Automatic Package Machine in Our Hospital

    Institute of Scientific and Technical Information of China (English)

    徐萍蓉; 邓小红; 苏兰; 朱小牧; 卢静; 饶凡; 费小凡

    2011-01-01

    目的:为自动包药机的使用提供借鉴.方法:从管理制度等方面介绍我院自动包药机单剂量调剂模式实施情况,统计、分析其试运行及调试后的差错率,同时与人工调剂口服医嘱进行强度及准确度比较.结果与结论:通过人员管理、自动包药机管理、药品管理等制度的建立规范其操作流程;通过对自动包药机的调试,机器故障、医嘱错误差错率分别由0.085%、1.15%降低至0.009%、0.09%,人工加药错误、网络原因产生的差错均分别由0.021%、0.085%降低至0;与人工调剂口服医嘱相比,自动包药机的包药量是其1.73倍,差错率仅约为其1/8,包药时间约为其4/5.使用自动包药机可明显提高药品调剂的工作效率,降低了药品污染,保障了调剂人员的安全,但缺乏大容量的药品包装是目前亟待解决的问题.药师应积极与工程师沟通、协调,不断根据运行中的具体情况,对包药机的程序重新设置或调试,以使其在调剂药品时更加准确、有效.%OBJECTIVE: To provide reference for the application of automatic package machine. METHODS: The implementation of unit-dose dispensing mode of automatic package machine in our hospital was introduced in respect of management system, and the error rates after trial running and adjustment were analyzed statistically. Unit-dose dispensing mode of automatic package machine was compared with manual dispensing oral medication orders in terms of intensity and accuracy. RESULTS & CONCLUSION: The operation procedure was standardized by establishing systems of staff management, automatic package machine management, drug management, etc. After adjustment of automatic package machine, rates of mechanical defects and medication error decreased from 0.085‰, 1.15‰ to 0.009‰, 0.09‰, and rates of manual error and network error decreased from 0.021‰ , 0.085‰ to 0. Compared with manual dispensing oral medication order, drug

  17. GAPscreener: An automatic tool for screening human genetic association literature in PubMed using the support vector machine technique

    Directory of Open Access Journals (Sweden)

    Khoury Muin J

    2008-04-01

    Full Text Available Abstract Background Synthesis of data from published human genetic association studies is a critical step in the translation of human genome discoveries into health applications. Although genetic association studies account for a substantial proportion of the abstracts in PubMed, identifying them with standard queries is not always accurate or efficient. Further automating the literature-screening process can reduce the burden of a labor-intensive and time-consuming traditional literature search. The Support Vector Machine (SVM, a well-established machine learning technique, has been successful in classifying text, including biomedical literature. The GAPscreener, a free SVM-based software tool, can be used to assist in screening PubMed abstracts for human genetic association studies. Results The data source for this research was the HuGE Navigator, formerly known as the HuGE Pub Lit database. Weighted SVM feature selection based on a keyword list obtained by the two-way z score method demonstrated the best screening performance, achieving 97.5% recall, 98.3% specificity and 31.9% precision in performance testing. Compared with the traditional screening process based on a complex PubMed query, the SVM tool reduced by about 90% the number of abstracts requiring individual review by the database curator. The tool also ascertained 47 articles that were missed by the traditional literature screening process during the 4-week test period. We examined the literature on genetic associations with preterm birth as an example. Compared with the traditional, manual process, the GAPscreener both reduced effort and improved accuracy. Conclusion GAPscreener is the first free SVM-based application available for screening the human genetic association literature in PubMed with high recall and specificity. The user-friendly graphical user interface makes this a practical, stand-alone application. The software can be downloaded at no charge.

  18. LiDAR The Generation of Automatic Mapping for Buildings, Using High Spatial Resolution Digital Vertical Aerial Photography and LiDAR Point Clouds

    Directory of Open Access Journals (Sweden)

    William Barragán Zaque

    2015-06-01

    Full Text Available The aim of this paper is to generate photogrammetrie products and to automatically map buildings in the area of interest in vector format. The research was conducted Bogotá using high resolution digital vertical aerial photographs and point clouds obtained using LIDAR technology. Image segmentation was also used, alongside radiometric and geometric digital processes. The process took into account aspects including building height, segmentation algorithms, and spectral band combination. The results had an effectiveness of 97.2 % validated through ground-truthing.

  19. Automatic Detecting a Bunch of Cash Based on Machine Vision Systems%基于机器视觉的智能卡把系统

    Institute of Scientific and Technical Information of China (English)

    张海宁; 许飞; 冯晓岗

    2012-01-01

    卡把是指对捆钱的把数进行数目的核定.目前的卡把操作是人工的,不仅费时,而且可能出现误判.基于机器视觉的卡把系统通过摄像机取像,将被摄取的目标信号转换成图像信号,并将此图像信号传送给专用的图像处理系统,抽取图像的特征,进而根据判别的结果来控制智能设备的执行相应的操作.本系统能够自动进行智能卡把操作,并对不符合规范的钱捆进行报警和处理.不仅提高了卡把速度,而且极大降低了卡把的误判率.%Detecting a bunch of cash is refers to approve the number of money. Recently, this operation is manual, which not only takes time, but also appears a miscalculation. Automatic detecting a bunch of cash based on machine vision system gets the picture through the camera, makes the target signal convert into image signal, and takes the image signals lo the dedicated image processing system, extracts the image characteristics, and then controls the equipment to do the corresponding operation according to the result of discrimination. Tliis system can be automatically detected a bunch of cash, and alarms and handles money which is not up to standard, which not only improves the speed, and greatly reduces the false rate.

  20. Resistance of Cast Iron Unified Module Recuperator of Heating Furnaces with High-Temperature Thermal Technologies at Machine Building, Automotive and Tractor Enterprises

    Directory of Open Access Journals (Sweden)

    A. P. Nesenchouk

    2010-01-01

    Full Text Available The paper contains a stress analysis in the field of elastic and elastic-plastic wall state of a cast iron module industrial recuperator of high-temperature technology furnaces applied in blank and mechanical assembly production at machine building enterprises.

  1. Expanding Options. A Model to Attract Secondary Students into Nontraditional Vocational Programs. For Emphasis in: Building Trades, Electronics, Health Services, Machine Shop, Welding.

    Science.gov (United States)

    Good, James D.; DeVore, Mary Ann

    This model has been designed for use by Missouri secondary schools in attracting females and males into nontraditional occupational programs. The research-based strategies are intended for implementation in the following areas: attracting females into building trades, electronics, machine shop, and welding; and males into secondary health…

  2. High-end software design for automatic bending machine%嵌入式自动折弯机接口协议及高端软件设计

    Institute of Scientific and Technical Information of China (English)

    谭碧云; 王宜怀

    2012-01-01

    Automatic bending machine follows the traditional CNC bending machine in the processing of the high precision and high efficiency, in addition to this, it increases the function of automatically feed and automatically slot, which further enhances the selectivity and adaptability of the processing materials. Based on the automatic bending machine system structure and function, this paper defines PC and bottom interface protocols, which makes the instruction generated by PC be directly used by bottom via USBo Bottom executes the corresponding instruction and finally realizes the function of automatically feed and automatically slot. Simultaneously, this paper expounds system PC software design scheme which integrated several advanced technologies such as word-model extraction, digital image process and bend and generated a special command file for bottom to use.%自动折弯机沿袭了传统数控折弯机在加工方面的高精度、高效率,在此基础上增加了自动送料及自动开槽功能,进一步增强了加工材料的选择性和适应性。本文基于自动折弯机系统的结构和功能,定义了PC端与底端接口协议,使得PC端生成的命令通过USB直接被底端使用。底端执行相应命令,最终实现自动送料及自动开槽功能。同时本文详细阐述了系统PC端软件设计方案,采用字模提取、数字图像处理、折弯加工等先进技术,生成了特定的命令文件供底端使用。

  3. WEIBULL MULTIPLICATIVE MODEL AND MACHINE LEARNING MODELS FOR FULL-AUTOMATIC DARK-SPOT DETECTION FROM SAR IMAGES

    Directory of Open Access Journals (Sweden)

    A. Taravat

    2013-09-01

    Full Text Available As a major aspect of marine pollution, oil release into the sea has serious biological and environmental impacts. Among remote sensing systems (which is a tool that offers a non-destructive investigation method, synthetic aperture radar (SAR can provide valuable synoptic information about the position and size of the oil spill due to its wide area coverage and day/night, and all-weather capabilities. In this paper we present a new automated method for oil-spill monitoring. A new approach is based on the combination of Weibull Multiplicative Model and machine learning techniques to differentiate between dark spots and the background. First, the filter created based on Weibull Multiplicative Model is applied to each sub-image. Second, the sub-image is segmented by two different neural networks techniques (Pulsed Coupled Neural Networks and Multilayer Perceptron Neural Networks. As the last step, a very simple filtering process is used to eliminate the false targets. The proposed approaches were tested on 20 ENVISAT and ERS2 images which contained dark spots. The same parameters were used in all tests. For the overall dataset, the average accuracies of 94.05 % and 95.20 % were obtained for PCNN and MLP methods, respectively. The average computational time for dark-spot detection with a 256 × 256 image in about 4 s for PCNN segmentation using IDL software which is the fastest one in this field at present. Our experimental results demonstrate that the proposed approach is very fast, robust and effective. The proposed approach can be applied to the future spaceborne SAR images.

  4. Machining deformation analysis on the rear cover of the automatic transmission%自动变速器后盖壳体加工变形分析

    Institute of Scientific and Technical Information of China (English)

    汤善荣; 吴成龙

    2009-01-01

    文章通过对某自动变速器后盖薄壁铝合金壳体,在试制加工过程中产生的加工变形进行分析,阐述了薄壁类零件发生变形的原因以及相应的解决方案,通过试验总结出合理选用刀具切削参数、优化夹具设计等方案,可以有效地解决薄壁类零件在加工过程中产生的变形问题.%This thesis analysed the rear cover thin-walled aluminum alloys components of an automatic transmission which has been deformed during the trial-manufacture, and expatiated the causes of the deformation and the corresponding solutions. The thesis summed up the scheme of the appropriate cutting parameter and the fixture by the experiment. The problem of the deformation during the machining can be effectively resolved.

  5. 月饼自动装盒机控制系统的设计%The Design of Control System of Automatic Cartoning Machine for Moon Cake

    Institute of Scientific and Technical Information of China (English)

    赵庆辉; 陈益民; 黎勉; 伍世元

    2011-01-01

    The control system of automatic cartoning machine for moon cake was designed. Based on programmable control technology, the difficulties of the separation of cake care and positive smoothly landing were effectively solved by using multi-stage vacuum generator, suction cup, and with roller, strip picks for separation and pneumatic mechanical structure, flexible baffle shrapnel. While food healthy security and low economic benefits which were brought in by manual operation were avoided. The system is reliable, economical and practical. It provides references for the food industry when meeting similar technical problems.%设计月饼自动装盒机控制系统。采用可编程控制技术,利用多级真空发生器,通过真空吸盘手,借助滚轮及带状分离拨片以及气动、柔性挡板弹片等,有效解决饼托分离、正向平稳降落等一列难题,同时避免人工分离带来的食品安全卫生、效益低等问题。该控制系统安全可靠、经济实用,可为食品行业类似技术问题提供参考。

  6. Automatic recognition of disorders, findings, pharmaceuticals and body structures from clinical text: an annotation and machine learning study.

    Science.gov (United States)

    Skeppstedt, Maria; Kvist, Maria; Nilsson, Gunnar H; Dalianis, Hercules

    2014-06-01

    Automatic recognition of clinical entities in the narrative text of health records is useful for constructing applications for documentation of patient care, as well as for secondary usage in the form of medical knowledge extraction. There are a number of named entity recognition studies on English clinical text, but less work has been carried out on clinical text in other languages. This study was performed on Swedish health records, and focused on four entities that are highly relevant for constructing a patient overview and for medical hypothesis generation, namely the entities: Disorder, Finding, Pharmaceutical Drug and Body Structure. The study had two aims: to explore how well named entity recognition methods previously applied to English clinical text perform on similar texts written in Swedish; and to evaluate whether it is meaningful to divide the more general category Medical Problem, which has been used in a number of previous studies, into the two more granular entities, Disorder and Finding. Clinical notes from a Swedish internal medicine emergency unit were annotated for the four selected entity categories, and the inter-annotator agreement between two pairs of annotators was measured, resulting in an average F-score of 0.79 for Disorder, 0.66 for Finding, 0.90 for Pharmaceutical Drug and 0.80 for Body Structure. A subset of the developed corpus was thereafter used for finding suitable features for training a conditional random fields model. Finally, a new model was trained on this subset, using the best features and settings, and its ability to generalise to held-out data was evaluated. This final model obtained an F-score of 0.81 for Disorder, 0.69 for Finding, 0.88 for Pharmaceutical Drug, 0.85 for Body Structure and 0.78 for the combined category Disorder+Finding. The obtained results, which are in line with or slightly lower than those for similar studies on English clinical text, many of them conducted using a larger training data set, show that

  7. Machine Assistance in Collection Building: New Tools, Research, Issues, and Reflections

    Directory of Open Access Journals (Sweden)

    Steve Mitchell

    2006-12-01

    Full Text Available Digital tool making offers many challenges, involving much trial and error. Developing machine learning and assistance in automated and semi-automated Internet resource discovery, metadata generation, and rich-text identification provides opportunities for great discovery, innovation, and the potential for transformation of the library community. The areas of computer science involved, as applied to the library applications addressed, are among that discipline’s leading edges. Making applied research practical and applicable, through placement within library/collection-management systems and services, involves equal parts computer scientist, research librarian, and legacy-systems archaeologist. Still, the early harvest is there for us now, with a large harvest pending. Data Fountains and iVia, the projects discussed, demonstrate this. Clearly, then, the present would be a good time for the library community to more proactively and significantly engage with this technology and research, to better plan for its impacts, to more proactively take up the challenges involved in its exploration, and to better and more comprehensively guide effort in this new territory. The alternative to doing this is that others will develop this territory for us, do it not as well, and sell it back to us at a premium. Awareness of this technology and its current capabilities, promises, limitations, and probable major impacts needs to be generalized throughout the library management, metadata, and systems communities. This article charts recent work, promising avenues for new research and development, and issues the library community needs to understand.

  8. Application of automatic edge-tracing function in CNC laser cutting machine%自动寻边功能在数控激光切割机上的应用

    Institute of Scientific and Technical Information of China (English)

    周亚丽; 邢振宏; 刘健; 靳兵花

    2013-01-01

    介绍了自动寻边功能在数控激光切割机加工大幅面、中厚板时的应用,阐述了该功能的原理及设计思路.该功能提高了生产效率及设备的自动化程度.%The application of automatic edge-tracing function in the CNC laser cutting machine for big-size and medium &thick plate has been introduced in the text. It improves the productivity and the automation degree of the CNC laser cutting machine.

  9. Building

    OpenAIRE

    Seavy, Ryan

    2014-01-01

    Building for concrete is temporary. The building of wood and steel stands against the concrete to give form and then gives way, leaving a trace of its existence behind. Concrete is not a building material. One does not build with concrete. One builds for concrete. MARCH

  10. Research on automatic table tennis ball machine design and control system%自动乒乓球发球机设计及其控制系统的探究

    Institute of Scientific and Technical Information of China (English)

    李新明

    2014-01-01

    In China table tennis is regarded as "the country ball",it is a sport for all ages,in order to make the learners to practice table tennis,table tennistechnology according to the characteristic,we invented an automatic table tennis ball machine,the automatic table tennis ball machine design and the control system is studied.%在我国乒乓球被视为“国球”,它也是一项老少皆宜的健身运动项目,为了让学习者更好地练习乒乓球,根据乒乓球发球技术特点,我们发明了一种自动乒乓球发球机,本文针对自动乒乓球发球机设计及其控制系统进行了研究探索。

  11. Classification and promotion different types of information product by internet marketing on the example of machine building enterprises

    Directory of Open Access Journals (Sweden)

    Roman Oksentyuk

    2013-11-01

    Full Text Available Considering the features of modern marketing, Internet-marketing in particular, the types of promotion information products are classified in the article, such as a separate product (goods,firm or company, thematic information resource (website, online-store, online-project. All of the above objects have their own characteristics, both in content and in the budget part, which leads to differences in the choice of promotion strategy, selection of Internet-marketing techniques and, consequently, the relative efficiency of the use by machine-building enterprises. We consider each of them separately and set the typical promotion scheme through information technology and World Wide Web. Made the estimation of marketing effectiveness use of strategies to promote different types of Internet-based products, which should include a number of parameters that are presented in this article. Analyzed the importance of availability of website as a necessary condition for the successful promotion of their products in the market and doing business in today's market environment.

  12. Realization of graphic automatic programming in flame cutting machine system%图形自动编程在火焰切割机系统开发中的实现

    Institute of Scientific and Technical Information of China (English)

    杨旭; 董玉德; 余来宏; 李东亚; 张震霄

    2014-01-01

    In order to improve the efficiency of the cutting machine ,CNC flame cutting machine based on the automatic programming with C+ + language is developed .This system has implemented the process-ing of graphic files and the loading of machining program ,automatic cutting ,back to the original track cutting function .The solution of the key problem is proposed ,such as the processing for single-ring or multi-ring graph ,slotted compensation ,adding the lead-cutting ,process simulation and tracking .The system has been successfully applied to CNC flame cutting machine .%为提高切割机效率,应用C++语言,开发出一套基于图形自动编程的火焰切割机数控系统。系统实现了图形文件的处理与加工程序的读取,自动切割加工,原迹返回加工等功能;提出单环和套环图形的处理,气体半径补偿,添加切入引线,加工过程的仿真跟踪等关键问题的解决方法。该数控系统已成功应用于企业的火焰切割机中。

  13. Automatic Defect Inspection of PCB Bare Board Based on Machine Vision%基于机器视觉PCB裸板缺陷自动检测研究

    Institute of Scientific and Technical Information of China (English)

    刘百芬; 李海文; 张姝颖; 林德欣

    2014-01-01

    AppIying to the method of reference comparison to automatic defect inspection of PCB bare board based on machine vision.Camera captures muItipIe standard PCB image and caIcuIate its average gray get standard circuit board image tn the same position,image registration compIeted by standard PCB image under test PCB image's corner detection and cor-ner registration,adopting to standard PCB image under test PCB image adopt gray-scaIe transformation,fiItering,binarization, XOR and other image processing respectiveIy to detect the position of the defect area.%运用参考比较法对机器视觉PCB裸板缺陷检测进行了研究。在相机摄像头下同一位置采集多幅标准PCB图像累加求平均值得到标准电路板图像,运用Harris角点算法进行标准电路板图像和待测电路板图像的配准,分别对标准电路板图像和待测电路板图像进行灰度变换、中值滤波、二值化、异或等图像处理检测出缺陷区域,然后通过形态学消除伪缺陷,实验证明,该检测方法有较高的准确率。

  14. 基于机器视觉的点餐自动提示器设计%Design for automatic ordering prompter based on machine vision

    Institute of Scientific and Technical Information of China (English)

    陈善为; 余建安; 邵梦甜; 李萍; 王小梅

    2015-01-01

    According to blinding consumption and unhealthy diet, this thesis puts forward the automatic ordering prompter system based on machine vision;Starting with the key software and hardware technology from the composition of this system, based on the Design of light source, the selection of lens and image acquisition card and image processing control system integrated, this thesis analyzes the working principle of the system, designs the principle structure of the system and prototype designs;Finally, through the analysis of the data from the practice application, showing that the design is helpful to realize the expected goal of the scientific meal and civilized dining and showing that the design has a certain application prospect on the premise of cost control.%针对在外就餐中的盲目消费,不健康饮食等问题,提出基于机器视觉的点餐自动提示器系统;从组成系统的关键软硬件技术入手,基于光源设计、镜头及图像采集卡的选择、图像处理控制系统的设计集成,分析了系统的工作原理,设计了系统的原理结构,并在此基础上进行了原型设计;最后通过对原型系统实践应用得到的数据分析,表明该设计有助于实现科学点餐,文明就餐的预期目标,在成本得到进一步控制的前提下具有一定的应用前景。

  15. 基于维基百科的气象本体的自动构建%A Method of Building Meteorological Ontology Automatically Based on Wikipedia

    Institute of Scientific and Technical Information of China (English)

    王磊; 顾大权; 侯太平; 代曦

    2014-01-01

    随着语义检索技术在众多领域的不断发展应用,领域本体需求越来越大,手工构造不能满足本体应用的需求。本文从现有本体自动构建方法着手,总结本体自动构建的一般方法,分析以维基百科结构化数据为基础进行气象本体自动构建的可能性,基于网络链接相互性系数,提取有效子分类;定义距离跳数,进行有效条目的提取,最后提出基于维基百科的气象本体自动构建方法。实验结果表明,该方法能够达到本体构建的要求,具有速度快、人工干预少的特点,对本体在气象领域的应用具有一定的促进作用。%With the continuous development of semantic retrieval technology in many fields , the requirement of domain ontology is increasing .To construct ontology only by hand cannot satisfy the requirements of ontology application .This paper , starting from the existing method which builds ontology automatically , summarizes the general method of building ontology automatically , and analyzes the possibility of building meteorological ontology automatically based on the structured data of Wikipedia , and then ex-tracts the effective classifications from it according to the network links interaction coefficient .By defining the distance between the hops, we extract the effective entries , finally, we put forward the meteorological ontology automatic building method based on Wikipedia.The experiment shows that this method which has the higher speed and less manual intervention can satisfy the re -quirements of ontology construction .It’ s sure that this method has a certain role in the application of meteorological ontology .

  16. Frequency and damping ratio assessment of high-rise buildings using an Automatic Model-Based Approach applied to real-world ambient vibration recordings

    Science.gov (United States)

    Nasser, Fatima; Li, Zhongyang; Gueguen, Philippe; Martin, Nadine

    2016-06-01

    This paper deals with the application of the Automatic Model-Based Approach (AMBA) over actual buildings subjected to real-world ambient vibrations. In a previous paper, AMBA was developed with the aim of automating the estimation process of the modal parameters and minimizing the estimation error, especially that of the damping ratio. It is applicable over a single-channel record, has no parameters to be set, and no manual initialization phase. The results presented in this paper should be regarded as further documentation of the approach over real-world ambient vibration signals.

  17. POSITIONAL ACCURACY ASSESSMENT OF THE OPENSTREETMAP BUILDINGS LAYER THROUGH AUTOMATIC HOMOLOGOUS PAIRS DETECTION: THE METHOD AND A CASE STUDY

    OpenAIRE

    M. A. Brovelli; M. Minghini; M. E. Molinari; Zamboni, G.

    2016-01-01

    OpenStreetMap (OSM) is currently the largest openly licensed collection of geospatial data. Being OSM increasingly exploited in a variety of applications, research has placed great attention on the assessment of its quality. This work focuses on assessing the quality of OSM buildings. While most of the studies available in literature are limited to the evaluation of OSM building completeness, this work proposes an original approach to assess the positional accuracy of OSM buildings b...

  18. Strategies for energy saving in buildings by means of automatic control; Estrategias de ahorro de energia en inmuebles mediante el control automatico

    Energy Technology Data Exchange (ETDEWEB)

    Garcia Trujillo, Oscar [Johnson Controls de Mexico S. A. de C. V., Mexico, D. F. (Mexico)

    1998-12-31

    In this paper some of the measures and strategies for energy saving that can be applied in different types of buildings, mainly in hotels and office buildings, are presented. The proposed actions are accomplished with the aid of the automatic control equipment and the operation and/or maintenance personnel that supervises and establishes the control parameters of each one of the strategies than are focused to the appropriate utilization of the electric energy. [Espanol] En este documento se presentan algunas de las medidas y estrategias de ahorro de energia que pueden ser aplicadas en diferentes tipos de inmuebles, principalmente en hoteles y en edificios de oficinas. Las acciones propuestas son realizadas con la ayuda del equipo de control automatico y del personal de operacion y/o mantenimiento quien supervisa y establece los parametros de control de cada una de las estrategias que son destinadas a la buena utilizacion de la energia electrica.

  19. Study on Automatic Navigation System of Spray-Seeding Machine-Based on Fuzzy Control%草籽喷播机自动导航控制器的研究-基于模糊控制

    Institute of Scientific and Technical Information of China (English)

    庄新斌; 宣传忠; 陈智; 刘海洋; 仇义

    2015-01-01

    In order to achieve the grassland spray seeding machine automatic navigation controlling , to increase automatic and intelligent level of spray-seeding machine , the study reformed the spray-seeding machine model intelligently and de-veloped data acquisition program of GPS , 3 d electronic compass and ultrasonic sensor .The direction of spray-seeding machine is depended on controllation of fuzzy control algorithm to PLC and stepper motor .The study established FCL of automatic navigating under the circumstance of LabVIEW .The two points that GPS receiver located ensure the line for spray seeding machine to track .Electronic compass and GPS position module where in the spray seeding machine make sure intersection angle (α) of spray seeding moving direction to line and the instance (λ) of spay seeding to line respec-tively .αandλis served as the FLC inputs of fuzzy control ,whose output is rotating times n of rotation drive stepper mo-tor .Through experimental verification:spray seeding machine could finish the rotating controllation according to informa-tion of sensor collected , so that it can achieve the aim of tracking proposed liner .%为了实现草籽喷播机自动导航控制,提高喷播机自动化、智能化的程度,以电动四轮车底盘为实验平台,开发了GPS、三维电子罗盘、超声波传感器数据采集程序和喷播机转向的模糊控制算法。在 LabVIEW 环境下构建了自动导航模糊控制器,用GPS接收仪定位的两点来确定喷播机拟跟踪的直线,通过喷播机上的电子罗盘和GPS定位模块分别确定喷播机运行方向与直线的夹角α和喷播机到直线的距离λ。α和λ作为模糊控制算法中模糊控制器的输入,输出为转向驱动步进电机的转动次数 n。通过实验验证得出:运用自动导航的模糊控制器,喷播机能够快速、准确地跟踪拟定的路径。

  20. 徐大堡核电站运行和维修技术支持大楼的火灾自动报警系统设计%Automatic Fire Alarm System Design of Operation and Maintenance Technical Support Building of XU Dapu Nuclear Power Plant

    Institute of Scientific and Technical Information of China (English)

    韩圆

    2016-01-01

    Compared with other auxiliary workshops,XU Dapu Nuclear Power Plant has the characteristic of higher personnel density,more fire compartments and more concentrated communication machine rooms, etc. This paper introduced the design of the automatic fire alarm system based on the fire detection requirements,fire-fighting requirements and the characteristics of the building. The design could provide a certain guarantee for the safe operation of the building,and also provide a reference of automatic fire alarm system design for the operation and maintenance technology support building of subsequent AP1000 million kilowatt PWR nuclear power plant.%相比核电站其他辅助厂房,徐大堡核电站运行和维修技术支持大楼具有人员密度高、防火分区多、通信机房集中等特点。根据该建筑物特点、火灾探测和灭火要求对大楼火灾自动报警系统进行设计,为大楼安全运行提供一定保障,也为后续A P1000百万千瓦级压水堆核电站运行和维修技术支持大楼的火灾自动报警系统设计提供参考。

  1. Reconstruction design and realization of automatic control system for multi-refrigerating machine sets paralleled%基于PLC的多机并联制冷机组网路化控制系统设计与实现

    Institute of Scientific and Technical Information of China (English)

    余发山; 高宪君; 余盈荧

    2012-01-01

    The automatic control system based on S7-300 PLC was designed through investigation and analysis of multi-refrigerating machines paralleled in cigarette factory and upgrading and reformation of original control system were achieved.The monitoring picture for refrigerating machine sets was designed with the Siemens software WinCC for the upper computer,which supervised the local date collected by distributed I/O PLC and inner parameters of refrigerating machine collceted by gateway of Hilscher Company.It provided automatic control scheme to freezing-pumps and cooling-pumps with MM30 inverter,and it increased and decreased automatically the number of refrigerating machines to operation according to the range of cold load.Security and reliability were enhanced greatly,and elcctrical energy consumption was reduced far more than 30% after reformation.%为了解决卷烟厂多机并联制冷机组的协调控制,保证其安全、高效运行,在对多机并联制冷机组工作原理分析的基础上,设计了基于S7-300PLC的网路化自动控制系统.该系统根据冷负荷的大小自动增减制冷机开启的台数,实现制冷量的控制.详细介绍了控制系统的硬件和软件构成与设计方法,冷冻机组制冷量的计算方法与自动控制程序.实际运行表明,该系统提高了机组运行的可靠性与安全性,节约电能30%以上.

  2. 深根茎中药材收获机夹持带转速自动控制系统%Automatic Control System in the Gripping-belt Velocity of Root Chinese Traditional Herbal Harvesting Machine

    Institute of Scientific and Technical Information of China (English)

    黄金侠; 王俊发; 于泳红; 李丽敏

    2013-01-01

      我国现有的深根茎中药材收获机械简易,工作效率低,作业质量差,成为中药材种植业发展的一个瓶颈。为此,以AT89 C52单片机为控制核心,以开关传感器为检测手段,结合自动控制原理设计了深根茎中药材收获机夹持带转速自动调节系统。该系统能使夹持带转速实时跟踪机器作业速度变化,从而大大提高了药材的收获效率,降低了药材损失率和破损率。室内土槽试验表明,此控制系统达到了预期设计要求。%Chinese herbal medicine harvester in agricultural production plays an increasingly important role in .However , our Chinese herbal medicine harvester is still poor work quality , low efficiency , fault etc .Good performance , automa-tion, high intelligent degree of the Chinese herbal medicine harvester will be the aspect of development in the future . Therefore , this paper takes the SCM as core , combined with automatic control theory to the design of the traditional Chi-nese medicine harvesting machine clamping belt automatic speed control system .The system according to the operation of the machine speed changes , regulation of harvesting machine clamping belt speed , the machine speed and grip tape speed to achieve the best match , thus greatly improving the performance of the harvesting machine .

  3. 基于PROFIBUS现场总线的大袋自动包装机控制系统设计%Design of the Control System of Automatic Sack-Packaging Machine Based on PROFIBUS

    Institute of Scientific and Technical Information of China (English)

    王嵩; 张秋菊; 陈中杰; 左文娟

    2015-01-01

    为改善现有大袋包装机控制系出现的一些问题,针对某新型大袋自动包装机,设计了基于PROFIBUS-DP现场总线的控制系统,详细介绍了控制系统的硬件结构和软件实现流程,该控制系统具有很强的网络通信能力,为实现大袋自动包装机的智能化和远程监控提供了便利。%In order to solve the problem of the control system of the sack packaging machine, the control system based on Fieldbus of PROFIBUS-DP was designed for some new automatic sack packaging machine. The hardware of the control system and the process of software was elaborately introduced, it has a very strong network communication ability, and it makes convenient the intelligentisation of the automatic sack packaging machine and long-distance monitoring.

  4. Automatic shading effects on the energetic performance of building systems; Efeito do sombreamento automatico no desempenho de sistemas prediais

    Energy Technology Data Exchange (ETDEWEB)

    Prado, Racine Tadeu Araujo

    1996-12-31

    This thesis develops a theoretic-experimental study dealing with the effects of an automatic shading device on the energetic performance of a dimmable lighting system and a cooling equipment. Some equations related to fenestration optical and thermal properties are rebuilt, while some others are created, under a theoretical approach. In order to collect field data, the energy demand-and other variables - was measured in two distinct stories, with the same fenestration features, of the Test Tower. New data was gathered after adding an automatic shading device to the window of one story. The comparison of the collected data allows the energetic performance evaluation of the shading device. (author) 136 refs., 55 figs., 6 tabs.

  5. Positional Accuracy Assessment of the Openstreetmap Buildings Layer Through Automatic Homologous Pairs Detection: the Method and a Case Study

    Science.gov (United States)

    Brovelli, M. A.; Minghini, M.; Molinari, M. E.; Zamboni, G.

    2016-06-01

    OpenStreetMap (OSM) is currently the largest openly licensed collection of geospatial data. Being OSM increasingly exploited in a variety of applications, research has placed great attention on the assessment of its quality. This work focuses on assessing the quality of OSM buildings. While most of the studies available in literature are limited to the evaluation of OSM building completeness, this work proposes an original approach to assess the positional accuracy of OSM buildings based on comparison with a reference dataset. The comparison relies on a quasi-automated detection of homologous pairs on the two datasets. Based on the homologous pairs found, warping algorithms like e.g. affine transformations and multi-resolution splines can be applied to the OSM buildings to generate a new version having an optimal local match to the reference layer. A quality assessment of the OSM buildings of Milan Municipality (Northern Italy), having an area of about 180 km2, is then presented. After computing some measures of completeness, the algorithm based on homologous points is run using the building layer of the official vector cartography of Milan Municipality as the reference dataset. Approximately 100000 homologous points are found, which show a systematic translation of about 0.4 m on both the X and Y directions and a mean distance of about 0.8 m between the datasets. Besides its efficiency and high degree of automation, the algorithm generates a warped version of OSM buildings which, having by definition a closest match to the reference buildings, can be eventually integrated in the OSM database.

  6. Automatic classification of written descriptions by healthy adults: An overview of the application of natural language processing and machine learning techniques to clinical discourse analysis

    National Research Council Canada - National Science Library

    Toledo, Cíntia Matsuda; Cunha, Andre; Scarton, Carolina; Aluísio, Sandra

    2014-01-01

    .... A pioneering application of machine learning methods using Brazilian Portuguese for clinical purposes is described, highlighting education as an important variable in the Brazilian scenario.OBJECTIVE...

  7. 基于手部轨迹识别的ATM智能视频监控系统%Intelligent Video Surveillance System of Automatic Teller Machine Based on Hand Trajectory Recognition

    Institute of Scientific and Technical Information of China (English)

    陈琼; 鱼滨

    2012-01-01

    In order to prevent the criminal behaviors for Automatic Teller Machine(ATM) timely, this paper designs on ATM intelligent video surveillance system based on hand trajectory recognition. A background model is built by Gaussian-mixture background modeling method with the video images collected in the monitored area, and the information of human body can be obtained by background subtraction method and tracking algorithm. By analyzing the area change of human body, it can judge whether there exist abnormal behaviors. If there is, it will give an alarm. Otherwise, it will detect the hand trajectory with the skin detection algorithm based on color space and some location constraints, then match and recognize the movement trajectory of hand by building an Hidden Markov Model(HMM) to determine whether there exist other abnormal behaviours further. Experimental results show that the recognition rate for the criminal behaviors of the method proposed can reach up to 88%.%为实时阻止针对自动取款机的犯罪行为发生,设计一种基于手部轨迹识别的ATM智能视频监控系统.对于采集所得的监控区域内的视频图像,利用混合高斯背景建模方法为视频图像建立背景模型,通过背景剪除法和跟踪算法得到监控区域内的人体信息,分析进入监控区域的人体面积变化情况,由此判断是否有异常行为发生,存在异常则报警,否则采用基于颜色空间的皮肤检测算法和位置约束检测人手部分,利用隐马尔可夫模型对分段的手部运动轨迹分别进行匹配识别,进一步判断是否存在犯罪行为.实验结果表明,该方法对于犯罪行为的识别率能达到88%.

  8. Machine Learning

    CERN Document Server

    CERN. Geneva

    2017-01-01

    Machine learning, which builds on ideas in computer science, statistics, and optimization, focuses on developing algorithms to identify patterns and regularities in data, and using these learned patterns to make predictions on new observations. Boosted by its industrial and commercial applications, the field of machine learning is quickly evolving and expanding. Recent advances have seen great success in the realms of computer vision, natural language processing, and broadly in data science. Many of these techniques have already been applied in particle physics, for instance for particle identification, detector monitoring, and the optimization of computer resources. Modern machine learning approaches, such as deep learning, are only just beginning to be applied to the analysis of High Energy Physics data to approach more and more complex problems. These classes will review the framework behind machine learning and discuss recent developments in the field.

  9. Machine learning: Trends, perspectives, and prospects.

    Science.gov (United States)

    Jordan, M I; Mitchell, T M

    2015-07-17

    Machine learning addresses the question of how to build computers that improve automatically through experience. It is one of today's most rapidly growing technical fields, lying at the intersection of computer science and statistics, and at the core of artificial intelligence and data science. Recent progress in machine learning has been driven both by the development of new learning algorithms and theory and by the ongoing explosion in the availability of online data and low-cost computation. The adoption of data-intensive machine-learning methods can be found throughout science, technology and commerce, leading to more evidence-based decision-making across many walks of life, including health care, manufacturing, education, financial modeling, policing, and marketing.

  10. 基于S7-200PLC全自动捆扎机控制系统%Control System Based on S7-200 PLC Automatic Strapping Machine

    Institute of Scientific and Technical Information of China (English)

    韩鹏; 朱奎林

    2016-01-01

    捆扎机采用继电-接触器控制系统,功能单一,存在多种缺点。在分析控制要求的基础上,采用西门子S7-200可编程控制器。设计了捆扎机主电路图、PLC输入输出连接电路图和制动及加热电路。完成了捆扎机循环工作流程图和相应梯形图程序。对PLC控制系统进行线路连接和机电联调,捆扎机能实现手动、自动、连续3种功能,达到控制要求。%The strapping machine adopts relay-contactor control system, has many disadvantages, and has single function. On the basis of the analysis and control requirements, the SIEMENS S7-200 programmable controller was adopted. The main circuit diagram of the strapping machine, the PLC input and output connection circuit diagram, the brake and the heating circuit were designed. The cycle flow chart and the ladder chart program of the strapping machine were completed. PLC control system for line connection and the electrical-mechanical alignment, the strapping machine can achieve manual, automatic and continuous 3 functions, to meet the control requirements.

  11. Semi-automatic identification of punching areas for tissue microarray building: the tubular breast cancer pilot study

    Directory of Open Access Journals (Sweden)

    Beltrame Francesco

    2010-11-01

    Full Text Available Abstract Background Tissue MicroArray technology aims to perform immunohistochemical staining on hundreds of different tissue samples simultaneously. It allows faster analysis, considerably reducing costs incurred in staining. A time consuming phase of the methodology is the selection of tissue areas within paraffin blocks: no utilities have been developed for the identification of areas to be punched from the donor block and assembled in the recipient block. Results The presented work supports, in the specific case of a primary subtype of breast cancer (tubular breast cancer, the semi-automatic discrimination and localization between normal and pathological regions within the tissues. The diagnosis is performed by analysing specific morphological features of the sample such as the absence of a double layer of cells around the lumen and the decay of a regular glands-and-lobules structure. These features are analysed using an algorithm which performs the extraction of morphological parameters from images and compares them to experimentally validated threshold values. Results are satisfactory since in most of the cases the automatic diagnosis matches the response of the pathologists. In particular, on a total of 1296 sub-images showing normal and pathological areas of breast specimens, algorithm accuracy, sensitivity and specificity are respectively 89%, 84% and 94%. Conclusions The proposed work is a first attempt to demonstrate that automation in the Tissue MicroArray field is feasible and it can represent an important tool for scientists to cope with this high-throughput technique.

  12. Computer Domain Term Automatic Extraction and Hierarchical Structure Building%计算机领域术语的自动获取与层次构建

    Institute of Scientific and Technical Information of China (English)

    林源; 陈志泊; 孙俏

    2011-01-01

    This paper presents a computer domain term automatic extraction method based on roles and statistics.It uses computer book titles from Amazon.com website as corpus, data are preprocessed by words splitting, stop words and special characters filtering.Terms are extracted by a set of rules and frequency statistics and inserted into a word tree from ODP to build the hierarchical structure.Experimental results show high precision and recall of the automatically extracted results compared with manual tagged terms.%设计一种能够自动获取计算机领域术语的方案,提出基于规则与统计相结合的抽取方法,使用亚马逊网站的计算机类图书作为语料库,通过分词、去停止词预处理以及词频统计的方法提取出计算机类领域术语,并插入到由ODP构建的树中,形成计算机领域术语的层次结构.实验结果表明,与人工标注结果相比,使用该方法自动获取的术语有很高的准确率与召回率.

  13. 基于EM78P510NK的全自动咖啡机控制系统的设计%Design of Automatic Coffee Machine Control System Based on the EM78P510NK

    Institute of Scientific and Technical Information of China (English)

    邵雯

    2013-01-01

    This article introduced automatic coffee machine control system 's design.Its core is MCU based on EM78P510NK, it can control the position of piston and seal gland, temperature, water flow, coarseness of coffee reliably.It can give an alarm when hydropenia and lack coffee.The automatic coffee machine control system has advantages of reliable operation, simple structure, easy to debug and expansion.It is used in business, catering industry, office and family, etc.%介绍一种全自动咖啡机控制系统的设计,它以EM78P510NK处理器为核心,对活塞位置、密封套位置、温度、水流量、咖啡粗细度等进行可靠控制,具有缺水、缺豆报警功能.该系统工作可靠、结构简单、易于调试和扩展,适合于商业、餐饮业、办公室和家庭.

  14. 钢制暖气片自动焊缝机焊缝数学模型研究%Research on Mathematical Model of Steel Radiators Automatic Welding Machine

    Institute of Scientific and Technical Information of China (English)

    高利军; 解海滨; 于锁清; 丁广文; 赵利颇

    2012-01-01

    针对钢制暖气片生产中焊缝焊接技术要求较高,劳动强度大,且不能保持生产稳定的问题,提出了开发成组焊缝自动焊缝机的设计思路,给出了自动焊缝机的工作原理,依据焊接的实际操作过程,建立相应的焊缝焊接数学模型,结合焊机精度要求给出了自变量步角确定的方法,为钢制暖气片自动焊机控制程序的开发提供了必要的技术准备.%For the problems of higher technical requirements, the greater labor intensity and instable production quality in the production process of steel radiators, the designing and working principle of automatic weld machine were given. The corresponding welding mathematical model was established on the basis of current manual welding process. The method about determining variable step angle was proposed by combining with the welding precision requirements. The necessary technical preparations for developing steel automatic welding machine control program were provided.

  15. Research and Design on the Embedded Platform of Tamping Machine Automatic Guidance System%捣固车自动引导系统嵌入式平台研究与设计

    Institute of Scientific and Technical Information of China (English)

    欧莹元; 张继燕

    2011-01-01

    通过对捣固车自动引导系统工作环境的分析.选用CF卡做为系统的存储设备并选用平板电脑做为系统运行的硬件平台,选择Windows XP Embedded(XPE)做为平台运行的操作系统,并针对捣固车自动引导系统的特点实现了Windows XP Embedded(XPE)系统的定制工作,设计了良好的用户使用界面。%This paper analyzes the tamping machine automatic guidance system of the working environment, in this based on the use CF card as storage devices and use the system as the system is running Tablet PC hardware platform, choose the Windows XP Embedded (XPE) as a platform for running Operating system, and for tamping machine features automatic guidance system to achieve the Windows XP Embedded (XPE) system, custom work, designing a good user interface.

  16. Do you want to build such a machine? : Designing a high energy proton accelerator for Argonne National Laboratory.

    Energy Technology Data Exchange (ETDEWEB)

    Paris, E.

    2004-04-05

    Argonne National Laboratory's efforts toward researching, proposing and then building a high-energy proton accelerator have been discussed in a handful of studies. In the main, these have concentrated on the intense maneuvering amongst politicians, universities, government agencies, outside corporations, and laboratory officials to obtain (or block) approval and/or funds or to establish who would have control over budgets and research programs. These ''top-down'' studies are very important but they can also serve to divorce such proceedings from the individuals actually involved in the ground-level research which physically served to create theories, designs, machines, and experiments. This can lead to a skewed picture, on the one hand, of a lack of effect that so-called scientific and technological factors exert and, on the other hand, of the apparent separation of the so-called social or political from the concrete practice of doing physics. An exception to this approach can be found in the proceedings of a conference on ''History of the ZGS'' held at Argonne at the time of the Zero Gradient Synchrotron's decommissioning in 1979. These accounts insert the individuals quite literally as they are, for the most part, personal reminiscences of those who took part in these efforts on the ground level. As such, they are invaluable raw material for historical inquiry but generally lack the rigor and perspective expected in a finished historical work. The session on ''Constructing Cold War Physics'' at the 2002 annual History of Science Society Meeting served to highlight new approaches circulating towards history of science and technology in the post-WWII period, especially in the 1950s. There is new attention towards the effects of training large numbers of scientists and engineers as well as the caution not to equate ''national security'' with military preparedness, but rather

  17. The Study and Design of Automatic Feeding System of Building Board Installation Robot%建筑板材安装机器人自动供料系统的研究设计

    Institute of Scientific and Technical Information of China (English)

    马宏; 侯满哲; 郭全花; 王月亭

    2015-01-01

    Automatic feeding problems widely exist in industry.A feeding system of interior decoration robot was designed in order to achieve the automatically supplying interior decoration materials. Electromechanical integration designing thought was adopted in this article and that means analy-zing and designing about overall function,drive,driving device,transmission system and control system of the feeding system so that a economical,practical and highly reliable desing scheme of feeding system was created.Based on this,type selection of all kinds of electrical elements and op-timal designing of typical part were finished.The machine has a compact structure,an easy way to operate and a high degree of automation and all of these can greatly improve the reclaiming preci-sion and speed of building board installation robots.%自动供料问题广泛存在于工业领域中,为了实现室内装修机器人的自动化供料专门设计了一套室内装修机器人供料系统。本文采用了机电一体化的设计思想,对供料系统的整体功能、驱动装置、传动系统及控制系统进行了分析和设计,从而得出了经济型、实用化、高可靠性的供料系统的设计方案。在此基础上,完成了各种电气元件的选型及典型零件的优化设计。该机结构紧凑、操作简单、自动化程度高,能大大提高板材安装机器人的取料精度和速度。

  18. Software Program Reconstructions of Automatic Medicine Packing Machine in Our Hospital%我院全自动药品分包机的软件程序改造

    Institute of Scientific and Technical Information of China (English)

    邓思韵; 王玉紫; 梁嘉俊; 吴昭仪

    2016-01-01

    OBJECTIVE:To promote the working performace of automatic medicine packing machine in our hospital. METH-ODS:Combined with the problems we met in the use of the automatic medicine packing machine,the reconstructions of software functions,such as drug inventory management,drug identification,specific drug sub-package and document printing of non-pack-age drug,were introduced. Related indicators were compared before and after reconstruction. RESULTS:After the software recon-struction,compared with 2012,loss events of expire drug due to poor sales fell by 70% in 2013;drug dispensing errors related to medicine packing machine dropped by 1/2;the time of drug checking shortened by 1/5. CONCLUSIONS:The software program re-construction of automatic medicine packing machine can improve the work efficiency of pharmacy and the accuracy of drug dispens-ing,further guarantee the quality and safety of drugs,and meet the practical demand of our hospital.%目的:提升全自动药品分包机的工作性能.方法:结合在使用全自动药品分包机中遇到的实际问题,介绍我院在分包机库存管理、药品标识、特定药品分包、不分包药品单据打印这4个软件功能的改造情况,并比较改造前后的相关指标.结果:经改造分包机软件后,与2012年比较,2013年因机内药品滞销而过期的报损事件减少了70%;与分包机相关的药品配发差错减少1/2;药品核对时间缩短了1/5.结论:我院对全自动药品分包机的软件程序改造,有效提高了药房的工作效率与摆药的准确率,进一步确保了药品的质量安全,更切合我院的实际工作需求.

  19. An Automatic Radial Drilling Machine for Outer Rings of Spherical Bearings%一种全自动外球面轴承外圈径向钻孔机

    Institute of Scientific and Technical Information of China (English)

    王伟光; 陈光明

    2014-01-01

    Aiming at the problems about the unstable quality and low efficiency of drilling process for outer rings of spherical bearings,an automatic radial drilling machine for outer rings of bearings is designed and developed.The feed-ing,clamping,multi hole drilling,cutting and other processes of continuous automatic processes are realized by setting the automatic feeding device,clamping device,drilling device and using the PLC control system,and the effect of drill-ing is verified in practice.%针对外球面轴承外圈钻孔工序存在的质量不稳定及效率低等问题,设计开发了一种全自动轴承外圈径向钻孔机。通过设置自动上下料装置、夹持装置、钻孔装置及采用PLC系统控制,实现了上料、装夹、多向钻孔、下料等多工序连续自动加工,并对钻孔效果进行了实践验证。

  20. An SCM Control-based Design of Automatic Feeding Device in Punching Machine%基于单片机控制的冲压机床自动供料装置设计

    Institute of Scientific and Technical Information of China (English)

    甄久军; 杨战民; 孙勇震

    2012-01-01

    This paper provides a mechanical body design for automatic feeding device (AFD) and the control scheme based on SCM. The AFD takes the movements of the plunger chip as a power source, by the slider mechanism and the ratchet pawl mechanism, and re- alizes the circumrotated-intermission feeding mode. SCM automatically performs the functions of cutting down time of the power of the machine tool motor, counting the supplies and warning of short supplies. The device supports the punching machine to work continuous- ly, can greatly increase productivity and extend the life of the punching machine brake belt, while avoiding the workers' hands directly into the die stamping workspace security incidents that may arise.%提供了自动送料装置的机械本体设计和单片机的控制方案。自动送料装置采用冲压机床冲头的上下运动作为动力源,通过滑块机构、棘轮棘爪机构,实现冲头的上下运动到棘轮水平回转一间歇送料方式。单片机控制实现自动切断机床电机电源停机、供料计数、缺料报警等功能。该装置支持冲压机床连续工作,可大大提高生产率并延长冲压机床制动皮带的寿命,同时避免了工人手部直接进入模具冲压工作区而可能出现的安全事故。

  1. 基于PLC数控螺旋锥齿轮研齿加工的自动控制%Automatic Control of CNC Spiral Bevel Gear Machining Based on PLC

    Institute of Scientific and Technical Information of China (English)

    肖春芳

    2013-01-01

    Based on the S7-300 PLC,combined with the gas-liquid booster drive control technology,the automatic control of the logarithmic control wheel gear lapping machine is realized.The principle of using gas-liquid booster clamping drive system in CNC spiral bevel gear lapping machine control is analyzed.on this CNC spiral bevel gear lapping machine Grinding tooth loop automatic control with PLC (S7-300),provides the main principle of hardware and software of ladder diagram.The experiment results show that the program has the advantages of compact structure,high efficiency,and able to achieve good design requirements.%基于S7-300 PLC,结合气液增压传动控制技术,实现了对数控轮研齿机研齿加工的自动控制.分析了采用气液增压夹紧传动系统实现数控螺旋锥齿轮研齿机研齿加工控制的原理.研究了采用PLC(S7-300)实现数控螺旋锥齿轮研齿机研齿的自动控制,提供了主要的硬件原理图和软件梯形图.实验结果证明:程序结构紧凑、运行效率高,且可以很好的实现设计要求.

  2. 自动铡皮机微电脑控制器的设计与实现%Design and Implementation of Microcomputer Controller of Automatic Board Manufacturing Machine

    Institute of Scientific and Technical Information of China (English)

    牛文花; 张维存; 于宝生; 宿光文

    2012-01-01

    针对基于单片机的智能仪器仪表类产品的需求和特点,设计并实现了一款基于STC89C52单片机的微电脑自动铡皮机控制系统,该控制系统包括中文人机界面、键盘控制、LCD液晶显示等功能模块.该系统利用了结构化设计方法,在STC89C52单片机硬件平台上实现了人机操作界面的液晶显示,通过软件编程可以实现参数的输入、显示、修改、保存和传递等功能,独特的键盘电路的设计节约了硬件防抖电路的开销,该系统已投入实际应用.%Based on the characteristic of the MCU intelligent instrument, a new design for hardware and software system of automatic board manufacturing machine including Chinese human - machine interface, Keyboard module and LCD display was put forward. STC89C52, as Central Processing Unit, was used in this design, which can manage the peripheral device and LCD used to display data, and also can control the input data, change and save the data. With an advanced data structure in the software aspects, the hardware aspects for preventing button jitter were saved. The designed system has been successfully applied in the automatic board manufacturing machine.

  3. NC automatic programming system for wire-cutting machine based on Visual Basic%基于Visual Basic开发的数控线切割自动编程系统

    Institute of Scientific and Technical Information of China (English)

    耿雷; 韩建勇; 任凤国

    2001-01-01

    This paper introduces a NC automatic programming system for wire-cutting machine based on Visual Basic.This system can transform DXF drawing file that is drawed and taked out under AutoCAD plant to NC code program that is used by NC wire-cutting machines.NC code programs generated in this system can be transferred to machine by disk or via RS232 communitcation interface.%介绍了在Visual Basic环境下开发的一个具有Windows支持界面的数控线切割自动编程系统。该系统可以将由AutoCAD绘制并导出的DXF图形交互文件转化成数控线切割加工所用的NC代码程序。生成的加工程序可以通过磁盘或RS232通讯接口,输送给数控线切割机床进行加工。

  4. Building Energy Models Based on Machine Learning Methods%基于机器学习的建筑能耗模型适用性研究

    Institute of Scientific and Technical Information of China (English)

    田玮; 魏来; 李占勇; 孟庆新; 宋继田; 杨松

    2016-01-01

    This paper focuses on a comparison of predicting accuracy of six different machine learning approaches for estimating energy use in office buildings,including linear regression,GP(Gaussian process),MARS(multivariate adaptive regression splines),bagging MARS,RF(random forest) and SVM(support vector machine).The results indicate that three methods(Bagging MARS,MARS,and RF)have better accuracy in predicting heating energy, whereas the bagging MARS performs best in estimating cooling energy.It is also found out that the prediction of cool-ing energy is more difficult than that of heating energy in office buildings.These conclusions can be used to provide some reference for machine learning method choosing in building energy assessment.Moreover,the models obtained from this research can also be used to create a building stock model at urban scales.%为进一步分析不同机器学习方法用于建筑能耗模型的适用性,重点比较了6种常用机器学习方法用于预测办公建筑能耗时的准确性,包括线性回归、高斯过程、多元自适应回归样条法、自助多元自适应回归样条法、随机森林和支持向量机。结果表明:多元自适应回归样条法、自助多元自适应回归样条法和随机森林法适用于取暖能耗的模型建立;对于制冷能耗预测,自助多元自适应回归样条法的计算精度最高。同时发现制冷能耗与取暖能耗相比,由于存在更加复杂的非线性关系,其预测难度更大。研究结果不仅可用于在建筑节能分析中确定最佳机器学习方法,而且所得机器学习方法可用于城市建筑能耗模型的建立。

  5. Design of Automatic Monitoring System about Closed with Double Machine Frame Hoist%双机闭式启闭机自动化监控系统设计

    Institute of Scientific and Technical Information of China (English)

    丁军; 钱钧

    2014-01-01

    武定门节制闸工程启闭机已运行近50年,存在安全性差,控制方式简单,启闭及控制设备布置分散、零乱,设备运行维护困难等隐患,故对启闭机进行更新改造,重新设计自动监控系统控制保护方式。针对现代工程管理特点,将启闭方式改为双机闭式启闭,自动监控系统采用分层布置,自动监控保护主要设计为现地和远方电气控制2种形式,实现对闸门的自动化控制,保障工程运行的可靠性。%The hoist of Wudingmen check gate has been in operation for nearly 50 years, there are many disadvantages such as poor safety, simplely control mode. The arrangement of opening and closing equipment, and controlling equipment is dispersed and messy. And the equipment is difficult to run and maintain. All of these cause serious hidden danger. Therefore, the hoist of Wudingmen check gate has to be update. The control protection mode and the automatic monitoring system of the hoist are redesigned. According to the characteristics of the modern project management, the opening and closing mode is changed to the double machine closed. The layout of the automatic monitoring system is stratified. The automatic monitoring protection is designed to be two forms as the spot electrical control and the distant electrical control to realize the automatic control of the gate and guarantee the reliability of the engineering operation.

  6. 面巾纸自动包装机的改进设计%Improvement Design of Facial Tissues Automatic Packaging Machine

    Institute of Scientific and Technical Information of China (English)

    黄有恒

    2011-01-01

    Raises the fast complete machine vibration after the facial tissues packaging machine the question , has the reason using the cam gear follower lever law of motion analysis, the revision cam curve, enables it to achieve the anticipated effect.%针对面巾纸包装机提速后整机震动的问题,运用凸轮机构从动杆运动规律分析产生的原因,修改凸轮曲线,使之达到预期的效果.

  7. Design and experiment on automatic husking and peeling machine for lotus seeds%全自动莲子剥壳去皮机的设计与试验

    Institute of Scientific and Technical Information of China (English)

    徐谐庆; 饶洪辉; 李涛; 刘木华

    2014-01-01

    Lotus seeds usually are processed by manual and mechanical methods. The manual processing method is time-wasting because it can take about 70 percent of the total time to husk and peel seeds. The mechanical method can save time and have high efficiency of production. But, the existing husking and peeling machines for lotus seeds all adopt the bilateral machine structure, which has the shortcomings of too heavy, high failure rate and difficulty for maintenance and adjustment. In this study, an improved automatic husking and peeling machine for lotus seeds with unilateral machine structure was designed based on the existing lotus seed processing machine. On this machine, a conveyor belt was adopted to transport the lotus seeds, and a rotating concave wheel was used to frict with the lotus seed shell surface for adjusting the lotus seeds’ direction to keep the short diameter of lotus seeds in a direction consistent with the movement direction of the conveyor belt. And then a spacing device was used to separate the lotus seeds, a cam device was adopted to control the opening and closing of retaining needle and the dam-board for ensuring that only one lotus seed could be hold between the retaining needle and the dam-board, so the lotus seeds could pass one by one. Then the lotus seed shell was cut in a circle by a shell cutting device using a reciprocating razor blade while the lotus seed rolled ahead on the conveyor belt. The blade beyond the depth of knife rest baseplate was adjustable so that the cutting depth of the lotus seed shell could be controlled. After cutting the shell, the lotus seed rolled ahead under the effect of the conveyor belt and then got into the husking channel, with the rubbing and rolling motions, the lotus shell and kernel were separated. After removing the husks, the lotus seed still rolled ahead into the rinsing device and was grasped by the rinsing device with rotation and water rinsing, so the lotus seed coat was finally completely

  8. An HTS machine laboratory prototype

    DEFF Research Database (Denmark)

    Mijatovic, Nenad; Jensen, Bogi Bech; Træholt, Chresten

    2012-01-01

    This paper describes Superwind HTS machine laboratory setup which is a small scale HTS machine designed and build as a part of the efforts to identify and tackle some of the challenges the HTS machine design may face. One of the challenges of HTS machines is a Torque Transfer Element (TTE) which...

  9. Study on the Automatic Detection System for a New Material Testing Machine%一种新型材料试验机自动检测系统的研究

    Institute of Scientific and Technical Information of China (English)

    韩志刚; 穆克; 金泽宇

    2012-01-01

    It is difficult and trouble for testing workers to use artificial ways to compare the standard force measuring instrument and measurement data of material testing machine.This ways is not only to require a large amount of work time and labor,but also difficult to guarantee the accuracy and reliability of results.Therefore,a convenient,fast,portable and accurate automatic detection system need be developed to meet the demand for enhancing the efficiency,reducing labor intensity and reducing job errors.On a basis of manually completing the original business functions,the automatic materials testing machine detecting system need meet the quality system elements required by JJG139-1999 tension,pressure and universal testing machine verification regulation ,and the verification certificate can automatically be generated based on test data.%在日常的工作环境中,对拉力、压力和万能试验机定期检测时,需要检测人员用人工方式比对标准测力仪和材料试验机测量点数据,这种方式费时费力,而且难以保证检测结果的准确可靠.因此,研究一种方便、快捷、准确的便携式自动检测系统成为提高工作效率,减轻劳动强度和减少工作误差的目的,进而实现工作的科学化、程序化和规范化.研究的材料试验机自动检测系统要完成原来人工方式的业务功能,以满足JJG139-1999《拉力、压力和万能试验机检定规程》所要求的质量体系要素要求,还能够根据检测数据自动生成检定证书.

  10. Genesis machines

    CERN Document Server

    Amos, Martyn

    2014-01-01

    Silicon chips are out. Today's scientists are using real, wet, squishy, living biology to build the next generation of computers. Cells, gels and DNA strands are the 'wetware' of the twenty-first century. Much smaller and more intelligent, these organic computers open up revolutionary possibilities. Tracing the history of computing and revealing a brave new world to come, Genesis Machines describes how this new technology will change the way we think not just about computers - but about life itself.

  11. The Science of and Advanced Technology for Cost-Effective Manufacture of High Precision Engineering Products. Volume 5. Automatic Generation of Process Outlines of Forming and Machining Processes.

    Science.gov (United States)

    1986-08-01

    DescoLa ]). However, in view of their classificational characteristics, the majority of ESs should be rather called expert consullation systems. Planning...1, 1984. DescoLa . Descotte, Y. and Latombe, J.C., "GARI: A Problem Solver that Plans How to Machine Mechanical Parts", IJCAI 7, Vancouver, Canada

  12. 基于变频和PLC技术的自动剪板机控制系统%Control System for Automatic Plate Shearing Machine Based on Technology of Frequency Conversion and PLC

    Institute of Scientific and Technical Information of China (English)

    李增权

    2016-01-01

    为克服普通剪板机加工精度不高,人工操作繁琐、容易出错,能耗大,效率低的不足,提出了剪板机升级为自动控制的实现方案:以PLC可编程控制系统为核心,实现多台电机的同步协调运转;再经过变频调速器控制喂料电机,实现频繁的启动、制动及精确定长。在喂料电机及自动定长单元设计中,提出了Pang-Pang控制与谨慎控制相结合的设计思路,兼顾了生产效率和定长精度两者的需求。经实验室模拟调试,系统的控制功能及控制精度达到了设计要求。该剪板机具有自动化程度高、定长精确、能耗低、喂料电机能适应频繁的启动、制动等优点,提高了生产效率和板材的剪切质量。%To overcome the deficiencies of current plate shearing machine, which are the bad machining precision, complex artificial operation, easy errors, energy-wasting and inefficient, this paper puts forward such a realization scheme for the plate shearing machine to update it to automatic controlling, which is to take PLC programmable control system as its core to realize the synchronous operation coordinately with multi electric machinery. Then, frequent starting, braking and accurate fixing length will be realized through the controlling of the feeding motor by frequency converter. In the modular design of the feeding motor and automatic fixing length, put forward a design idea of integrating Pang-Pang control with conservative control to take both the productivity and accurate length-fixing into consideration. After analogue debugging in laboratory, both the control function and the control precision of the system meet design requirements. Such plate shearing machine enhances production efficiency and cutting quality of the plates with its advantages of high automation, accurate length fixing, lower energy-wasting, and also the frequent starting and braking of the feeding motor.

  13. Design of an airtight or automatic cleaning machine of small tanks%小型容器或工件全封闭全自动清洗设备设计

    Institute of Scientific and Technical Information of China (English)

    郝战焱

    2012-01-01

    本文对盛装有毒有害介质的小型容器或工件的全封闭、全自动清洗设备的设计进行阐述。该设备由控制系统、贮存系统、浸泡清洗系统、烘干系统、压力测控系统、温度测控系统、液位测控系统、状态调节系统和输送系统组成,使用氮气、自来水、三级水和配制好的浸洗液,对小型容器或工件实现清洗和烘干,确保清洗效果达标。该设备适合清洗一端敞口的容器或工件。设备执行过程分为全自动控制、步序控制和全手动控制三种模式,全自动模式清洗时间约为7h。设备组成材料为对介质一级相容材料。浸洗液可反复使用,失效后收回、统一处理;废气通往专用废气处理装置。设备设有触摸屏作为操作界面,并有实时监测装置及显示,用以随时监控清洗效果。设备流程及布局合理,操作简单方便,提供人员及环境的安全保护,清洗效率高,可广泛应用于各类有毒有害介质容器或工件的清洗。%This article depicts design of an airtight automatic cleaning machine of small tanks or workpieces which filled or covered with toxicant or injurant.This machine is composed of control system,storage system,dippingcleaning system,drying system,pressure measure-control system,temperature measure-control system,liquid level measure-control system,state-adjustment system and transportation system.Working with nitrogen,tap water,class-Ⅲ water for analytical laboratory use,and confected dipping liquor,it can carry out cleaning and drying small tanks or workpieces,making sure cleaned effect up to par.This machine is designed for workpieces or tanks with one-end open.Procedure includes three modes: automatic,step control,hand control.Whole process in automatic mode needs about 7h.Each material made of it has class 1 copatibility with all media.Confected dip-ping liquor could be reclaimed and reused until disabled,then be drawn back for disposal by rule

  14. Construction and final assembly of an automatic arc welding machine; Construccion y puesta a punto de una maquina automatica para soldadura remota por arco bajo atmosfera inerte

    Energy Technology Data Exchange (ETDEWEB)

    Herrero Alvarez, J.; Diaz Diaz, J.; Diaz Diaz, J. L.

    1972-07-01

    It has been constructed a remote are welding machine, wholly transistorized, to be used in a Hot Cell of 1.000 Cu. In this work are presented the different parts of the equipment and its electronic description. Finally, some works of final preparation are shown such as ending of irradiation capsules, thermocouples welding, stainless steel cover welding. For these types of welding are quoted its relative programs. (Author)

  15. Design of Control System of Automatic Sealing Capping Machine%全自动封口旋盖机控制系统的设计

    Institute of Scientific and Technical Information of China (English)

    蔡锦达; 秦绪祥; 王亮; 王英

    2012-01-01

    According to the workflow and fast response and high accuracy control requirements of tube sealing capping machine, the control system was designed, which was based on PLC, combined with the AC servo and other hardware. Practice showed that the control system can work better on production process of tube sealing capping machine. The work process and the sequence control scheme of sealing capping machine were introduced. The work timing sequence and program flow chart of sealing capping machine was put forward. The capping torque control method and control system design was put forward. The control system is stable, fast speed, high precision.%针对软管封口旋盖机的工作流程及响应快、精度高的控制要求,设计了以PLC为核心的控制系统,结合交流伺服及其他硬件,对软管封口旋盖的生产流程进行了较好的控制。详细介绍了封口旋盖机的工作流程和控制时序方案,给出了程序流程图、工作时序图。最后提出了旋盖转矩的控制方法以及控制系统的设计方案。该控制系统性能稳定,控制精度高,生产速度快。

  16. Quantum machine learning.

    Science.gov (United States)

    Biamonte, Jacob; Wittek, Peter; Pancotti, Nicola; Rebentrost, Patrick; Wiebe, Nathan; Lloyd, Seth

    2017-09-13

    Fuelled by increasing computer power and algorithmic advances, machine learning techniques have become powerful tools for finding patterns in data. Quantum systems produce atypical patterns that classical systems are thought not to produce efficiently, so it is reasonable to postulate that quantum computers may outperform classical computers on machine learning tasks. The field of quantum machine learning explores how to devise and implement quantum software that could enable machine learning that is faster than that of classical computers. Recent work has produced quantum algorithms that could act as the building blocks of machine learning programs, but the hardware and software challenges are still considerable.

  17. Precision machine design

    CERN Document Server

    Slocum, Alexander H

    1992-01-01

    This book is a comprehensive engineering exploration of all the aspects of precision machine design - both component and system design considerations for precision machines. It addresses both theoretical analysis and practical implementation providing many real-world design case studies as well as numerous examples of existing components and their characteristics. Fast becoming a classic, this book includes examples of analysis techniques, along with the philosophy of the solution method. It explores the physics of errors in machines and how such knowledge can be used to build an error budget for a machine, how error budgets can be used to design more accurate machines.

  18. 构架加工通用液压自动夹紧工装的研制与应用%Development and Application of Universal Hydraulic Automatic Clamping Fixture for Frame Machining

    Institute of Scientific and Technical Information of China (English)

    鲍凯; 裴龙洋; 谢莹莹; 沙恒辉; 汪海华

    2015-01-01

    This paper is to decribe the universal hydraulic automatic clamping fixture applicable for frame machining aganist the problems such as current fixtures are lack of universality and uneven clamping force due to manual clamping, and introduce the integral structure design, operation principle and exact application of this fixture. This type of fixture can be used for machining of all types of bogie frame of CSR Puzhen, and this fixture features simple procedure and stable clamping force, which has high value of application and promotion.%针对目前构架加工工装缺乏通用性以及人工夹紧带来的夹紧力不均衡等问题,研制出适用于构架加工通用的液压自动夹紧工装,介绍了该工装的整体结构设计、工作原理和具体应用,该工装可应用于公司所有类型转向架构架的加工,同时具有装夹过程简单、夹紧力稳定等优点,具有较高的应用和推广价值。

  19. 油桶自动清洗机的电气控制系统设计与应用%Design and Application of the Electric Control System of the Oil Drums Automatic Cleaning Machine

    Institute of Scientific and Technical Information of China (English)

    刘金富; 姜旭

    2011-01-01

    :The workflow and the basic work principle of an automatic cleaning machine of the standard steel oil bucket were introduced. The hardware of the auto control system are mainly made of the PLC, touch screen,converter and the stepper motor. Divided the craft process into some segment based on the analysis,adopt modularization program frame,circulating to call the subroutine to realize auto control function. The system configures,the method of solution of the main problem,the development usage of the touch screen and the human-machine interface procedure etc were introduced in detail. The results of actual application show that the oil drum auto-cleaner machine has the characteristics of the operation convenience, the higher dependability,the lower maintenance cost.%介绍了标准钢制油桶自动清洗机的基本工作原理和工作流程,自动控制系统的硬件主要由PIC、触摸屏、变频器和步进电机构成.在分析工艺过程的基础上将工艺过程分为若干个子段,利用模块化程序设计结构,循环调用子程序方式实现自动控制功能.详细介绍了系统的配置、主要问题的解决方法以及触摸屏人机交换界面程序的开发使用等情况.实践证明本油桶自动清洗机的控制系统具有操作简单、可靠性高、维护成本低的特点.

  20. 材料试验机自动检测系统数字识别技术的研究%Research on digital recognition technology of automatic detection system in material testing machine

    Institute of Scientific and Technical Information of China (English)

    李晓阳; 赵新慧; 顾冉冉; 吕计坤

    2014-01-01

    为了提高材料试验机测量值的读取效率、降低人工操作造成的误差和减轻操作员的工作强度,提出一种具有较强鲁棒性的实时材料试验机测量值自动识别方法,利用一系列图像处理技术对材料试验机测量值图像进行识别。实验证明识别准确率和识别速度完全满足实际需求。这里创新地对数字切分中处理断裂数字的合并和粘连数字的分割采用二次阈值化分割法。%In order to improve the reading efficiency of values measured by material testing machine,reduce human error caused by the operators and lighten the working intensity of the operators,a robust real-time automatic identification method of values measured by material testing machine is presented in this paper. A series of image processing technologies were adopted to identify the digital images measured by material testing machine. The experimental results show that the recognition accuracy and speed can fully meet the actual needs of the system. The innovation is to use the secondary threshold method to deal with the broken digit merger and adhent digit division.

  1. 基于机器视觉的种薯自动切块机设计%Design of Automatic Cutter for Potato Used as Seeds Based on Machine Vision

    Institute of Scientific and Technical Information of China (English)

    邢作常; 田素博; 刘思瑶; 白雪卫; 张祖立

    2016-01-01

    现阶段中国市场没有成熟的种薯切块机,薯农主要依靠手工切块。其主要原因是种薯切削需要控制切削位置以保留薯芽的顶端优势,普通机器不能识别薯芽,并控制切刀切削方位。为此,使用数字图像处理技术,实现了薯芽及其位姿的实时识别,开发了相应的控制系统,设计了基于机器视觉的薯种自动切块机。试验表明:薯芽识别正确率达100%,位姿识别正确率达98.5%,耗时107.431ms,满足使用要求。%There is not mature cutter for potato used as seeds in Chinese market at the present .Potato farmers rely mainly on manual cutting .The main reason is that potato cutting used as a seed need to control the cutting position to keep pota-to bud advantage , ordinary machine cannot identify potato bud , and controls the cutter cutting position .Using image pro-cessing technology , the potato bud and its posture real-time identification is realized , the corresponding control system is developed , and the automatic cutting machine is designed based on machine vision .Tests show that potato bud recogni-tion accuracy reaches 100%, posture recognition accuracy reaches 98 .5%, takes 107 .431 ms .it meets the require-ment.

  2. Machine Learning examples on Invenio

    CERN Document Server

    CERN. Geneva

    2017-01-01

    This talk will present the different Machine Learning tools that the INSPIRE is developing and integrating in order to automatize as much as possible content selection and curation in a subject based repository.

  3. 一种新的数控现场自动编程方法%Novel Method of CNC Automatic Programming for Machining Field

    Institute of Scientific and Technical Information of China (English)

    姚壮; 马跃; 张富彦

    2011-01-01

    数控技术的飞速发展对数控编程的高效性、便捷性提出了更高的要求,为满足车间工程技术人员现场编程的需求,本文提出一种适用于数控现场自动编程的方法.根据不同的加工零件轮廓图形,该方法采用以DXF文件为对象的自动编程和图形尺寸直接输入自动编程两种编程方式,生成数控加工程序,并通过实验证明该方法能使数控编程更灵活、高效.%The fast development of CNC technology requires NC programming to be more efficient and convenient. This paper presents a programming method fitting for field which satisfies the needs of spot programming of engineering technicians. The method is based on contour of different workpieces and uses two programming methods to generate NC processing programs. The two methods are automatic programming using DXF files and automatic programming that inputs graph sizes directly and uses actual print papers of work-pieces contour. By the experiment the method is proved to make the CNC programming become more efficient and flexible.

  4. 自动化模块设计在糖果包装机上的应用%Automatic Modular Design Application in the Candy Packing Machine

    Institute of Scientific and Technical Information of China (English)

    王江涛

    2012-01-01

    通过对奶糖包装机的工艺难点分析,整合台达自动化产品,为客户提供整套奶糖包装机系统控制架构.整个控制系统的核心为包装纸的输送,为了实现高速的控制要求,采用A2伺服特有的色标对位修正功能和电子凸轮功能实现核心控制功能.经实际测试,该套控制系统方案可以使包装速度达到350包/min,速度提升30%.%This article analyzes the milk sugar packaging machine technology and difficulties analysis, the integration of sets of automation product advantage and characteristics, and put forward a complete set for the customer to milk sugar packaging machine system control architecture. The core of the whole control system for conveying wrapping paper, in order to realize high speed control requirements, the unique color standard A2 servo contrapuntal fixed function and electronic CAM function to realize the core control function. The actual one, the control system solution greatly improved the system packing speed and efficiency.

  5. Colander: a probability-based support vector machine algorithm for automatic screening for CID spectra of phosphopeptides prior to database search.

    Science.gov (United States)

    Lu, Bingwen; Ruse, Cristian I; Yates, John R

    2008-08-01

    We developed a probability-based machine-learning program, Colander, to identify tandem mass spectra that are highly likely to represent phosphopeptides prior to database search. We identified statistically significant diagnostic features of phosphopeptide tandem mass spectra based on ion trap CID MS/MS experiments. Statistics for the features are calculated from 376 validated phosphopeptide spectra and 376 nonphosphopeptide spectra. A probability-based support vector machine (SVM) program, Colander, was then trained on five selected features. Data sets were assembled both from LC/LC-MS/MS analyses of large-scale phosphopeptide enrichments from proteolyzed cells, tissues and synthetic phosphopeptides. These data sets were used to evaluate the capability of Colander to select pS/pT-containing phosphopeptide tandem mass spectra. When applied to unknown tandem mass spectra, Colander can routinely remove 80% of tandem mass spectra while retaining 95% of phosphopeptide tandem mass spectra. The program significantly reduced computational time spent on database search by 60-90%. Furthermore, prefiltering tandem mass spectra representing phosphopeptides can increase the number of phosphopeptide identifications under a predefined false positive rate.

  6. Comparing artificial neural networks, general linear models and support vector machines in building predictive models for small interfering RNAs.

    Directory of Open Access Journals (Sweden)

    Kyle A McQuisten

    Full Text Available BACKGROUND: Exogenous short interfering RNAs (siRNAs induce a gene knockdown effect in cells by interacting with naturally occurring RNA processing machinery. However not all siRNAs induce this effect equally. Several heterogeneous kinds of machine learning techniques and feature sets have been applied to modeling siRNAs and their abilities to induce knockdown. There is some growing agreement to which techniques produce maximally predictive models and yet there is little consensus for methods to compare among predictive models. Also, there are few comparative studies that address what the effect of choosing learning technique, feature set or cross validation approach has on finding and discriminating among predictive models. PRINCIPAL FINDINGS: Three learning techniques were used to develop predictive models for effective siRNA sequences including Artificial Neural Networks (ANNs, General Linear Models (GLMs and Support Vector Machines (SVMs. Five feature mapping methods were also used to generate models of siRNA activities. The 2 factors of learning technique and feature mapping were evaluated by complete 3x5 factorial ANOVA. Overall, both learning techniques and feature mapping contributed significantly to the observed variance in predictive models, but to differing degrees for precision and accuracy as well as across different kinds and levels of model cross-validation. CONCLUSIONS: The methods presented here provide a robust statistical framework to compare among models developed under distinct learning techniques and feature sets for siRNAs. Further comparisons among current or future modeling approaches should apply these or other suitable statistically equivalent methods to critically evaluate the performance of proposed models. ANN and GLM techniques tend to be more sensitive to the inclusion of noisy features, but the SVM technique is more robust under large numbers of features for measures of model precision and accuracy. Features

  7. Automatic convey or System with In–Process Sorting Mechanism using PLC and HMI System

    Directory of Open Access Journals (Sweden)

    Y V Aruna

    2015-11-01

    Full Text Available Programmable logic controllers are widely used in many manufacturing process like machinery packaging material handling automatic assembly. These are special type of microprocessor based controller used for any application that needs any kind of electrical controller including lighting controller and HVAC control system. Automatic conveyor system is a computerized control method of controlling and managing the sorting mechanism at the same time maintaining the efficiency of the industry & quality of the products.HMI for automatic conveyor system is considered the primary way of controlling each operation. Text displays are available as well as graphical touch screens. It is used in touch panels and local monitoring of machines. This paper deals with the efficient use of PLC in automatic conveyor system and also building the accuracy in it.

  8. 智能建筑区门禁系统自动化识别技术分析%Analysis on Automatic Identification Technology of Intelligent Building Access Control System

    Institute of Scientific and Technical Information of China (English)

    张卉

    2015-01-01

    门禁系统是智能建筑区必备设施,可对建筑区提供安全防护、自动调控等多方面功能.指纹识别系统是人工智能改造的新系统,为门禁系统自动识别提供了科技化措施.本文分析了智能建筑发展趋势及指纹识别系统的基本构成,介绍了智能建筑门禁系统自动化识别技术的应用方法.%The access control system of intelligent building is a necessary facility, which provides security protection, automatic control and so on. Fingerprint identification system is a new artificial intelligence system, providing technological measures for the automatic identification of access control system. This paper analyzes the development trend of intelligent building and the basic structure of fingerprint identification system, introduces the application of automatic recognition technology in intelligent building access control system.

  9. 全自动片剂摆药机在我院中心药房的应用%Application of Full-Automatic Tablet Dispensing Machine in the Central Pharmacy of Our Hospital

    Institute of Scientific and Technical Information of China (English)

    訾梅; 古艳婷

    2015-01-01

    OBJECTIVE:To provide references for rational application of full-automatic tablet dispensing machine in the inpa-tient pharmacy of the hospital. METHODS:According to the work flow and use of the machine,the errors and problems arising from the use thereof by our hospital were summarized and analyzed,and corresponding improvement measures and solutions were put forward. RESULTS & CONCLUSIONS:Common errors in the use of full-automatic tablet dispensing machine included errors for the machine(including in-box drug shortage warnings accounting for 58.61% and abnormal responses to the quantity of in-box drugs accounting for 36.96%),errors caused by human factors(including errors of inputting doctor’s order and errors of pharma-cist’s adding drugs)and errors of material installation and operation. The solutions put forward are as follows as adjusting the tilt angle of the outlet mouth and controlling the quantity of the drugs added to the box to reduce the errors for the machine;two phar-macists’checking doctor’s order in the hospital information system in advance to reduce the errors caused by human factors;carry-ing out operation training for operators to reduce the errors of material installation;designating special personnel to maintain the ma-chine,etc.%目的:为医院住院药房合理应用全自动片剂摆药机提供参考。方法:根据全自动片剂摆药机的工作流程和使用情况,总结分析我院在其使用中发生的差错及问题,并提出改进措施和解决方法。结果与结论:使用全自动片剂摆药机的常见差错包括自动摆药机发生的差错(其中药盒缺药报警占58.61%,药盒内数量反应错误占36.96%)、人为因素产生的差错(包括医嘱录入错误和药师加药错误)以及耗材安装操作差错。提出的解决方法包括调整出药口的倾斜角度、控制贮药盒内药品添加的数量以减少自动摆药机发生的差错;药师提前审核医院信

  10. Building a Digital Library from the Ground Up: an Examination of Emergent Information Resources in the Machine Learning Community

    Science.gov (United States)

    Cunningham, Sally Jo

    The current crop of digital libraries for the computing community are strongly grounded in the conventional library paradigm: they provide indexes to support searching of collections of research papers. As such, these digital libraries are relatively impoverished; the present computing digital libraries omit many of the documents and resources that are currently available to computing researchers, and offer few browsing structures. These computing digital libraries were built 'top down': the resources and collection contents are forced to fit an existing digital library architecture. A 'bottom up' approach to digital library development would begin with an investigation of a community's information needs and available documents, and then design a library to organize those documents in such a way as to fulfill the community's needs. The 'home grown', informal information resources developed by and for the machine learning community are examined as a case study, to determine the types of information and document organizations 'native' to this group of researchers. The insights gained in this type of case study can be used to inform construction of a digital library tailored to this community.

  11. Automatic Training of Rat Cyborgs for Navigation

    Directory of Open Access Journals (Sweden)

    Yipeng Yu

    2016-01-01

    Full Text Available A rat cyborg system refers to a biological rat implanted with microelectrodes in its brain, via which the outer electrical stimuli can be delivered into the brain in vivo to control its behaviors. Rat cyborgs have various applications in emergency, such as search and rescue in disasters. Prior to a rat cyborg becoming controllable, a lot of effort is required to train it to adapt to the electrical stimuli. In this paper, we build a vision-based automatic training system for rat cyborgs to replace the time-consuming manual training procedure. A hierarchical framework is proposed to facilitate the colearning between rats and machines. In the framework, the behavioral states of a rat cyborg are visually sensed by a camera, a parameterized state machine is employed to model the training action transitions triggered by rat’s behavioral states, and an adaptive adjustment policy is developed to adaptively adjust the stimulation intensity. The experimental results of three rat cyborgs prove the effectiveness of our system. To the best of our knowledge, this study is the first to tackle automatic training of animal cyborgs.

  12. Automatic Training of Rat Cyborgs for Navigation.

    Science.gov (United States)

    Yu, Yipeng; Wu, Zhaohui; Xu, Kedi; Gong, Yongyue; Zheng, Nenggan; Zheng, Xiaoxiang; Pan, Gang

    2016-01-01

    A rat cyborg system refers to a biological rat implanted with microelectrodes in its brain, via which the outer electrical stimuli can be delivered into the brain in vivo to control its behaviors. Rat cyborgs have various applications in emergency, such as search and rescue in disasters. Prior to a rat cyborg becoming controllable, a lot of effort is required to train it to adapt to the electrical stimuli. In this paper, we build a vision-based automatic training system for rat cyborgs to replace the time-consuming manual training procedure. A hierarchical framework is proposed to facilitate the colearning between rats and machines. In the framework, the behavioral states of a rat cyborg are visually sensed by a camera, a parameterized state machine is employed to model the training action transitions triggered by rat's behavioral states, and an adaptive adjustment policy is developed to adaptively adjust the stimulation intensity. The experimental results of three rat cyborgs prove the effectiveness of our system. To the best of our knowledge, this study is the first to tackle automatic training of animal cyborgs.

  13. Automatic Induction of Rule Based Text Categorization

    Directory of Open Access Journals (Sweden)

    D.Maghesh Kumar

    2010-12-01

    Full Text Available The automated categorization of texts into predefined categories has witnessed a booming interest in the last 10 years, due to the increased availability of documents in digital form and the ensuingneed to organize them. In the research community the dominant approach to this problem is based on machine learning techniques: a general inductive process automatically builds a classifier by learning, from a set of preclassified documents, the characteristics of the categories. This paper describes, a novel method for the automatic induction of rule-based text classifiers. This method supports a hypothesis language of the form "if T1, … or Tn occurs in document d, and none of T1+n,... Tn+m occurs in d, then classify d under category c," where each Ti is a conjunction of terms. This survey discusses the main approaches to text categorization that fall within the machine learning paradigm. Issues pertaining tothree different problems, namely, document representation, classifier construction, and classifier evaluation were discussed in detail.

  14. Machine Tool Software

    Science.gov (United States)

    1988-01-01

    A NASA-developed software package has played a part in technical education of students who major in Mechanical Engineering Technology at William Rainey Harper College. Professor Hack has been using (APT) Automatically Programmed Tool Software since 1969 in his CAD/CAM Computer Aided Design and Manufacturing curriculum. Professor Hack teaches the use of APT programming languages for control of metal cutting machines. Machine tool instructions are geometry definitions written in APT Language to constitute a "part program." The part program is processed by the machine tool. CAD/CAM students go from writing a program to cutting steel in the course of a semester.

  15. Machine learning research 1989-90

    Science.gov (United States)

    Porter, Bruce W.; Souther, Arthur

    1990-01-01

    Multifunctional knowledge bases offer a significant advance in artificial intelligence because they can support numerous expert tasks within a domain. As a result they amortize the costs of building a knowledge base over multiple expert systems and they reduce the brittleness of each system. Due to the inevitable size and complexity of multifunctional knowledge bases, their construction and maintenance require knowledge engineering and acquisition tools that can automatically identify interactions between new and existing knowledge. Furthermore, their use requires software for accessing those portions of the knowledge base that coherently answer questions. Considerable progress was made in developing software for building and accessing multifunctional knowledge bases. A language was developed for representing knowledge, along with software tools for editing and displaying knowledge, a machine learning program for integrating new information into existing knowledge, and a question answering system for accessing the knowledge base.

  16. Building Support Vector Machine with Reduced Feature Complexity%构造特征复杂性减低的支持向量机

    Institute of Scientific and Technical Information of China (English)

    宇缨

    2007-01-01

    支持向量机(SVM)较一般的机器学习方法显示出更好的泛化能力.然而,在实际的数据中经常存在着大量冗余、噪声或者不可靠的特征,这严重影响到SVM的性能.因此,有必要减低特征复杂性以获取更好的SVM结果.本文提出了一种基于遗传算法(GA)的嵌入式框架下的特征优化算法,以构造改进SVM.针对选择的UCI成人数据库的实验表明,与原始的SVM相比,提出的改进SVM方法获得了更少的支持向量数目和更好的分类精度.%Support Vector Machine (SVM) has revealed better generalization than conventional machine learning methods. However, in the real data there often exist a large number of redundant, noisy or unreliable features to deteriorate the function of SVM strongly. So to reduce the feature complexity, it is necessary to improve the performance of SVM for better results. A method to build modified SVM, which is based on embedded methods for feature optimization using Genetic Algorithm (GA),is proposed in this paper. The experimental results on selected UCI Adult data base show that compared with original SVM classifier, the number of support vector decreases and better classification results are achieved based on our modified SVM.

  17. Machine Learning and Radiology

    Science.gov (United States)

    Wang, Shijun; Summers, Ronald M.

    2012-01-01

    In this paper, we give a short introduction to machine learning and survey its applications in radiology. We focused on six categories of applications in radiology: medical image segmentation, registration, computer aided detection and diagnosis, brain function or activity analysis and neurological disease diagnosis from fMR images, content-based image retrieval systems for CT or MRI images, and text analysis of radiology reports using natural language processing (NLP) and natural language understanding (NLU). This survey shows that machine learning plays a key role in many radiology applications. Machine learning identifies complex patterns automatically and helps radiologists make intelligent decisions on radiology data such as conventional radiographs, CT, MRI, and PET images and radiology reports. In many applications, the performance of machine learning-based automatic detection and diagnosis systems has shown to be comparable to that of a well-trained and experienced radiologist. Technology development in machine learning and radiology will benefit from each other in the long run. Key contributions and common characteristics of machine learning techniques in radiology are discussed. We also discuss the problem of translating machine learning applications to the radiology clinical setting, including advantages and potential barriers. PMID:22465077

  18. 基于流形模糊双支持向量机的恒星光谱分类方法%Automatic Classification Method of Star Spectra Data Based on Manifold Fuzzy Twin Support Vector Machine

    Institute of Scientific and Technical Information of China (English)

    刘忠宝; 高艳云; 王建珍

    2015-01-01

    支持向量机(support vector machine ,SVM )具有良好的学习性能和泛化能力,因而被广泛应用于恒星光谱分类中。然而实际应用面临的数据规模往往很大,SVM 便暴露出计算量大、分类速度慢等问题。为了解决上述问题,Jayadeva等提出双支持向量机(twin support vector machine ,TWSVM ),将计算时间减少至SVM的1/4。然后上述方法仅关注数据的全局特征,对每类数据的局部特征并未关注。鉴于此,提出基于流形模糊双支持向量机(manifold fuzzy twin support vector machine ,MF-TSVM)的恒星光谱分类方法。利用流形判别分析获得数据的全局特征和局部特征,模糊隶属度函数的引入将各类数据区别对待,尽可能减少噪声点和奇异点对分类结果的影响。与C-SVM ,KNN等传统分类方法在SDSS恒星光谱数据集上的比较实验表明了该方法的有效性。%Support vector machine (SVM ) with good leaning ability and generalization is widely used in the star spectra data clas-sification .But when the scale of data becomes larger ,the shortages of SVM appear :the calculation amount is quite large and the classification speed is too slow .In order to solve the above problems ,twin support vector machine (TWSVM ) was proposed by Jayadeva .The advantage of TSVM is that the time cost is reduced to 1/4 of that of SVM .While all the methods mentioned above only focus on the global characteristics and neglect the local characteristics .In view of this ,an automatic classification method of star spectra data based on manifold fuzzy twin support vector machine (MF-TSVM ) is proposed in this paper .In MF-TSVM ,manifold-based discriminant analysis (MDA) is used to obtain the global and local characteristics of the input data and the fuzzy membership is introduced to reduce the influences of noise and singular data on the classification results .Compara-tive experiments with current classification

  19. 采用关节机器人的齿轮机床自动上料对齿方法的研究%Research of Automatic Feeding and Toothing Method on Gear Machine with a Joint Robot

    Institute of Scientific and Technical Information of China (English)

    曹斌; 秦磊; 汪军

    2013-01-01

    By analyzing the present feeding and toothing method of gear shaving and gear honing operations in the gear processing, it puts forward an automatic feeding and toothing method on gear machine, which is achieved by a joint robot. The feeding gripper clamps the gear to be processed and swings back and forth along the broken line. The gear to be processed is getting closer to the cutting tool until they collide and get a normal force from the collision to rotate. Gradually, they adjust themselves to a meshing state. In the processing, the system will automatically generate the appropriate action path based on product parameters to meet the toothing requirements.%通过分析目前齿轮加工过程中的剃齿、珩齿等工序的上料对齿方法,提出了一种采用关节机器人实现齿轮机床自动上料对齿的方法.由上料手爪夹持着待加工齿轮,通过上料手爪相对加工刀具折线型来回摆动接近,使待加工齿轮与加工刀具触碰,在触碰中获得法向分力产生自转,从而将待加工齿轮和加工刀具逐步调整为可啮合状态.在加工过程中,系统将根据产品参数自动生成合适的动作路径,满足对齿要求.

  20. Research on the Making and Transporting Device of Automatic Vegetable Pot Machine Based on PLC%基于 PLC 的自动蔬菜穴盘钵机制钵和输送装置研究

    Institute of Scientific and Technical Information of China (English)

    王臻卓; 朱文琦; 李伟

    2017-01-01

    The seedling transplanting technology is a modern agricultural production technology, has been widely used at home and abroad. In the process of transplanting seedling transplanting, most of the methods used are manual work, which has low efficiency and great damage to the seedlings. In order to improve the automation degree of the pot seedling transplanting, a new type of automatic bowl and conveying device for the vegetable bowl seedling transplanting machine based on PLC was designed. The device adopts the PLC control system, the servo motor and step into motor can realize high precision seedling launched and accurate positioning, reducing the loss of rice seedlings. Using the belt drive and gear transmission to realize the synchronization of the drum and the planting device. Finally in an experimental green-house seedlings automatic conveying device were tested, in order to validate the experimental machine effect, the artifi-cial experimental results and testing machine test results were compared, by the test results show that the based on PLC control system vegetable plug seedling machine transplanting operation and manual methods compared, vegetable seedling loss rate declined, dropping seedling rate increase, which verified the reliability of the device.%钵苗移栽技术是一项现代农业增产技术,在国内外得到了广泛应用。在钵苗移栽作业过程中,大部分采用的是人工作业的方式,这种作业方式作业效率低,并且对苗的损害较大。为了提高钵苗移栽的自动化程度,设计了一种新的基于 PLC 的蔬菜钵苗移栽机自动制钵和输送装置。该装置采用 PLC 控制系统,利用伺服电机和步进电机可以实现高精度秧苗的推出和准确定位,降低了秧苗的损失。利用带传动和齿轮传动实现了转筒和栽植器的同步。最后,在实验大棚对穴盘钵苗自动输送装置的效果进行了测试,为了验证试验机的效果,将人工实验

  1. 住院药房全自动口服摆药机应用分析%Application analysis on automatic oral medicine dispensed machine used in inpatient dispensary

    Institute of Scientific and Technical Information of China (English)

    姜蔚; 杨跃辉; 菅凌燕

    2013-01-01

    目的 分析全自动口服摆药机应用情况,为医院病房口服药品的分包使用及管理提供参考.方法 统计口服摆药药房的药品种类、剂型、分劈药片及临床口服摆药医嘱情况,对常见问题进行分析,并提出解决办法.结果 我院目前常摆药品289种,占口服药品的77.69%,其中分劈药品156种,占口服摆药品种的53.98%,分劈药品摆药品种仍以普通片剂和胶囊为主,缓控释制剂品种相对少.结论 我院住院药房全自动口服摆药机应用普及较广,品种配置合理,分劈药品的共性问题仍存在.%Objective To analyze the use of automatic oral medicine dispensed machine,and provide reference for hospital use and management of the oral drugs.Methods The common problems of drug kinds,dosage forms,splitting tablets and clinical oral medicine with doctor's advice were analyzed,and the corresponding solutions were put forward.Results Current dispensed drug kind of our hospital was 289,accounted for 77.69% of oral drugs,included splitting drug 156 species,which accounted for 53.98% of oral dispensed drugs,common tablet and capsule were still the main splitting drug,slow controlled release preparation breed was relatively few.Conclusion Automatic oral medicine dispensed machine has a wide application in our hospital pharmacy,breed configuration is reasonable,common problems of splitting drug are still exist.

  2. A Study on Automatic Coal Mining Machine Control System Based on Wireless Gas Sensors%基于无线瓦斯传感器的采煤机自动控制研究

    Institute of Scientific and Technical Information of China (English)

    贾杨; 王亚晶; 谢子殿

    2012-01-01

    本设计介绍一种新型无线瓦斯传感器的采煤机自动控制系统,通过在井下多分布无线瓦斯传感器系统检测周边的瓦斯浓度,一方面,可将各路采集数据处理显示出来并且.超标声光报警,令一方面,可以将数据传输给主控器,通过分析各模块传来的检测数据来控制采煤机的速度,以减少瓦斯溢出量,也可以紧急预防瓦斯爆炸事件的发生,推动了井下开采系统的智能化.%This design introduces a new automatic wireless control system using methane sensor in control of coal mining machine. It can detect the peripheral methane concentration through multiple wireless methane sensors distributed in the underground. On one hand, it can display the various acquisition data and alarm if the data surpass the standard; on the other hand, the data can be transferred to the main controller. Through the analysis of each module from the detection data, it can control coal mining machine speed to reduce the gas spill. It can also give a warning of methane explosion incidents, and promote the intelligence of the underground mining system.

  3. HUMAN MACHINE COOPERATIVE TELEROBOTICS

    Energy Technology Data Exchange (ETDEWEB)

    William R. Hamel; Spivey Douglass; Sewoong Kim; Pamela Murray; Yang Shou; Sriram Sridharan; Ge Zhang; Scott Thayer; Rajiv V. Dubey

    2003-06-30

    The remediation and deactivation and decommissioning (D&D) of nuclear waste storage tanks using telerobotics is one of the most challenging tasks faced in environmental cleanup. Since a number of tanks have reached the end of their design life and some of them have leaks, the unstructured, uncertain and radioactive environment makes the work inefficient and expensive. However, the execution time of teleoperation consumes ten to hundred times that of direct contact with an associated loss in quality. Thus, a considerable effort has been expended to improve the quality and efficiency of telerobotics by incorporating into teleoperation and robotic control functions such as planning, trajectory generation, vision, and 3-D modeling. One example is the Robot Task Space Analyzer (RTSA), which has been developed at the Robotics and Electromechanical Systems Laboratory (REMSL) at the University of Tennessee in support of the D&D robotic work at the Oak Ridge National Laboratory and the National Energy Technology Laboratory. This system builds 3-D models of the area of interest in task space through automatic image processing and/or human interactive manual modeling. The RTSA generates a task plan file, which describes the execution of a task including manipulator and tooling motions. The high level controller of the manipulator interprets the task plan file and executes the task automatically. Thus, if the environment is not highly unstructured, a tooling task, which interacts with environment, will be executed in the autonomous mode. Therefore, the RTSA not only increases the system efficiency, but also improves the system reliability because the operator will act as backstop for safe operation after the 3-D models and task plan files are generated. However, unstructured conditions of environment and tasks necessitate that the telerobot operates in the teleoperation mode for successful execution of task. The inefficiency in the teleoperation mode led to the research

  4. Automatic Coffee Machine Design Status Quo and Development Trend%全自动咖啡机设计现状及发展趋势

    Institute of Scientific and Technical Information of China (English)

    李玮

    2015-01-01

    Coffee is one of the world’s three drinks, commonly found in every corner of the world, it has created a favorable market environment for the design and production of coffee. Coffee birth meant the loss of a traditional craft, this is a product designed to regret, but also its glory. Product design has changed the way we live, make our lives better, coffee machine design as well.%咖啡是世界三大饮品之一,普遍存在于世界的每个角落,它为咖啡机的设计和生产创造了良好的市场环境。咖啡机诞生意味着一种传统手艺的流失,这是产品设计的遗憾,但这也是它的荣光。产品设计改变了我们的生活方式,能使我们的生活变得更加美好,咖啡机设计也是如此。

  5. Shape memory actuated sliding mechanism for rapid switching between button-patterns for adapted human-machine interaction at different automatization levels in automobiles

    Directory of Open Access Journals (Sweden)

    Sivaperuman Kalairaj Manivannan

    2017-01-01

    Full Text Available Almost all electronics and mechanical equipment have controllers to control the entire or certain tasks. These controllers respond to various types of inputs and performs the function accordingly. One type of input given to the controller is the touch and these controllers which use human touch has touch screen to act as the medium. The touch screen does not give haptic feedback to the users whereas the buttons normally take up more space and cause disturbance and confusion in recognizing the state and the function of the buttons. In this paper, we propose a simple sliding mechanism for rapid switching between different button patterns, in which the buttons remain flat in the surface when inactive and protrude out of the surface when active. The design and simulation are carried out on SolidWorks and the prototypes are fabricated and tested. This mechanism incorporated in the buttons and installed in an automobile, increases the level of automation and enhances the human-machine interaction.

  6. Brut: Automatic bubble classifier

    Science.gov (United States)

    Beaumont, Christopher; Goodman, Alyssa; Williams, Jonathan; Kendrew, Sarah; Simpson, Robert

    2014-07-01

    Brut, written in Python, identifies bubbles in infrared images of the Galactic midplane; it uses a database of known bubbles from the Milky Way Project and Spitzer images to build an automatic bubble classifier. The classifier is based on the Random Forest algorithm, and uses the WiseRF implementation of this algorithm.

  7. Machine learning with R

    CERN Document Server

    Lantz, Brett

    2013-01-01

    Written as a tutorial to explore and understand the power of R for machine learning. This practical guide that covers all of the need to know topics in a very systematic way. For each machine learning approach, each step in the process is detailed, from preparing the data for analysis to evaluating the results. These steps will build the knowledge you need to apply them to your own data science tasks.Intended for those who want to learn how to use R's machine learning capabilities and gain insight from your data. Perhaps you already know a bit about machine learning, but have never used R; or

  8. Classification of jet fuel properties by near-infrared spectroscopy using fuzzy rule-building expert systems and support vector machines.

    Science.gov (United States)

    Xu, Zhanfeng; Bunker, Christopher E; Harrington, Peter de B

    2010-11-01

    Monitoring the changes of jet fuel physical properties is important because fuel used in high-performance aircraft must meet rigorous specifications. Near-infrared (NIR) spectroscopy is a fast method to characterize fuels. Because of the complexity of NIR spectral data, chemometric techniques are used to extract relevant information from spectral data to accurately classify physical properties of complex fuel samples. In this work, discrimination of fuel types and classification of flash point, freezing point, boiling point (10%, v/v), boiling point (50%, v/v), and boiling point (90%, v/v) of jet fuels (JP-5, JP-8, Jet A, and Jet A1) were investigated. Each physical property was divided into three classes, low, medium, and high ranges, using two evaluations with different class boundary definitions. The class boundaries function as the threshold to alarm when the fuel properties change. Optimal partial least squares discriminant analysis (oPLS-DA), fuzzy rule-building expert system (FuRES), and support vector machines (SVM) were used to build the calibration models between the NIR spectra and classes of physical property of jet fuels. OPLS-DA, FuRES, and SVM were compared with respect to prediction accuracy. The validation of the calibration model was conducted by applying bootstrap Latin partition (BLP), which gives a measure of precision. Prediction accuracy of 97 ± 2% of the flash point, 94 ± 2% of freezing point, 99 ± 1% of the boiling point (10%, v/v), 98 ± 2% of the boiling point (50%, v/v), and 96 ± 1% of the boiling point (90%, v/v) were obtained by FuRES in one boundaries definition. Both FuRES and SVM obtained statistically better prediction accuracy over those obtained by oPLS-DA. The results indicate that combined with chemometric classifiers NIR spectroscopy could be a fast method to monitor the changes of jet fuel physical properties.

  9. Remanufacturing system based on totally automatic MIG surfacing via robot

    Institute of Scientific and Technical Information of China (English)

    ZHU Sheng; GUO Ying-chun; YANG Pei

    2005-01-01

    Remanufacturing system is a term of green system project which conforms to the national sustainable development strategy. With the demand of the high adaptability of the varieties of waste machining parts, the short product cycle, the low machining cost and the high product quality are offered. Each step of the remanufacturing system from the beginning of the scanning to the accomplishment of the welding was investigted. Aiming at building a remanufacturing system based on totally automatic MIG surfacing via robot, advanced information technology, remanufacturing technology and management, through the control of the pretreatment and the optimization to minimize the time of remanufacturing and realize the remanufacturing on the terminal products of varieties, were applied. The steps mainly include: 1) using the visual sensor which is installed at the end of the Robot to rapidly get the outline data of the machining part and the pretreatment of the data; 2) rebuilding the curved surface based on the outline data and the integrated CAD material object model; 3) building the remanufacturing model based on the CAD material object model and projecting the remanufacturing process; and 4) accomplishing the remanufacture of the machining part by the technology of MIG surfacing.

  10. 农业自动化喷雾机械标靶害虫自动识别系统的研究%Research on Automatic Identification System of Target Pests in Agricultural Automation Spraying Machine

    Institute of Scientific and Technical Information of China (English)

    张震; 高雄; 陈铁英; 王海超

    2016-01-01

    农业喷雾对象的识别和定位是农业自动化喷雾机械研究中的核心技术之一. 对病虫害甘蓝进行精准喷洒农药,实现病虫害准确自动识别成为关键. 为此,利用机器视觉的欧氏距离甘蓝夜蛾虫害自动识别检测系统,结合由Qualityspec 光谱仪组成的光谱成像系统,对甘蓝正常叶片和遭受甘蓝夜蛾虫害的甘蓝叶片的颜色特征和光谱特征进行分析,并采用机器视觉分割阈值选取中的Otsu算法和自适应波段选择方法提取出了颜色差异的最佳几何阈值和两种叶片的特征波段. 试验结果表明:综合机器视觉和光谱技术能够实现甘蓝夜蛾虫害的自动且准确的识别,准确率可达94%. 因此,建立机器视觉和光谱技术综合识别体系,可为农作物病虫害自动防治喷雾机器人的研制奠定基础,以达到农作物病虫害实时识别和及时治理的目的.%The spray object recognition and localization is one of the core technology of automatic spray mechanization re -search .For precision spraying pesticide plant diseases and insect pests of cabbage , the accurate and automatic identifica-tion of plant diseases and insect pests of cabbage becomes the key .Therefore , using machine vision automatic identifica-tion of the Euclidean distance of cabbage moth pests detection system , combined with spectral imaging system composed of qualityspec spectrometer , Cabbage normal blade and suffer from the cabbage moth pests of cabbage leaf color features and spectral characteristics were analyzed .The best geometric threshold of color difference and characteristic bands of two kinds of leaves were extracted , using the Otsu threshold value image segmentation algorithm and adaptive band selection method.The test results show that the technology compositing image processing with spectrum can realize automatic and accurate identification of Cabbage moth pests , accuracy reaching 94%.Therefore, the establishment of

  11. Determination of rare earth elements, uranium and thorium in geological samples by ICP-MS, using an automatic fusion machine as an alkaline digestion tool.

    Science.gov (United States)

    Granda, Luis; Rivera, Maria; Velasquez, Colon; Barona, Diego; Carpintero, Natalia

    2014-05-01

    At the present time, rare earth elements deposits have became in strategic resources for extraction of raw materials in order to manufacture high tech devices (computers, LCD, cell phones, batteries for hybrid vehicles, fiber optics and wind turbines) (1).The appropriate analytical determination of the REE ( rare earth elements) in sediment and rock samples , is important to find potential deposits and to recognize geological environments for identifying possible alterations and mineral occurrences. The alkaline fusion, which aim is to move the entire sample from solid to liquid state by forming water soluble complexes of boron and lithium, as a previous procedure for the determination of these elements, usually takes a lot of time due to the complexity of the analysis phase and by the addition of other reagents (Tm and HF ) (2) to compensate the lack of strict temperature control. The objective of this work is to develop an efficient alternative to alkaline digestion using an electrical fusion machine, which allows to create temperature programs with advanced process control and supports up to 5 samples simultaneously, which generates a reproducibility of the method and results during the melting step. Additionally, this new method permits the processing of a larger number of samples in a shorter time. The samples analyzed in this method were weighed into porcelain crucibles and subjected to calcination for 4 hours at 950 ° C in order to determine the Lost on Ignition (LOI ) , that serves to adjust the analytical results and to preserve the shelf life of the platinum ware. Subsequently, a fraction of the calcined sample was weighed into platinum crucibles and mixed with ultra-pure lithium metaborate ( flux ) 1:4 . The crucible was then placed in the fusion machine, which was programmed to take the sample from room temperature to 950 ° C in five minutes, make a small ramp to 970 ° C maintain that temperature for five minutes and download the melt in a 10 % v / v

  12. Massively collaborative machine learning

    NARCIS (Netherlands)

    Rijn, van J.N.

    2016-01-01

    Many scientists are focussed on building models. We nearly process all information we perceive to a model. There are many techniques that enable computers to build models as well. The field of research that develops such techniques is called Machine Learning. Many research is devoted to develop comp

  13. Evolving detectors of 2D patterns on a simulated CAM-Brain machine: an evolvable hardware tool for building a 75-million-neuron artificial brain

    Science.gov (United States)

    de Garis, Hugo; Korkin, Michael; Guttikonda, Padma; Cooley, Donald

    2000-11-01

    This paper presents some simulation results of the evolution of 2D visual pattern recognizers to be implemented very shortly on real hardware, namely the 'CAM-Brain Machine' (CBM), an FPGA based piece of evolvable hardware which implements a genetic algorithm (GA) to evolve a 3D cellular automata (CA) based neural network circuit module, of approximately 1,000 neurons, in about a second, i.e. a complete run of a GA, with 10,000s of circuit growths and performance evaluations. Up to 65,000 of these modules, each of which is evolved with a humanly specified function, can be downloaded into a large RAM space, and interconnected according to humanly specified gvdvips -o SPIE-2000.ps SPIE-2000 artificial brain architectures. This RAM, containing an artificial brain with up to 75 million neurons, is then updated by the CBM at a rate of 130 billion CA cells per second. Such speeds will enable real time control of robots and hopefully the birth of a new research field that we call 'brain building.' The first such artificial brain, to be built at STARLAB in 2000 and beyond, will be used to control the behaviors of a life sized kitten robot called 'Robokitty.' This kitten robot will need 2D pattern recognizers in the visual section of its artificial brain. This paper presents simulation results on the evolvability and generalization properties of such recognizers.

  14. To the question of formation the quality management system of activity on the example of machine-building enterprises of the Vinnytsia region

    Directory of Open Access Journals (Sweden)

    M.V. Balzan

    2016-04-01

    Full Text Available On the example of machine-building enterprises of Vinnytsia region the character and features of their activities are analyzed, as well as conclusions regarding instability and inefficiency of the work effectiveness. Analysis and grouping of enterprises on selected attributes made possible to clarify the nature of the major economic and business indicators in each group, which facilitated the study of relations between the general management systems and content of quality management systems of activity at enterprises and confirmed the direct interdependence between the content and efficiency of these management systems, the efficiency of the quality management and the state of enterprises. The list of indicators of the quality management system of activity is proposed. For each of them number of quality indicators, which are affected by the form (way quality management of activity, is formed. The relationship of indicators of quality management system with the classification features that allows to create a profile of the quality management system is realized in a table. It is concluded about the possibility of using the proposed classification system as an intellectual component of the program decision making support in the formation of the profile of the quality management system of activity.

  15. 基于PLC的倒角机自动控制系统设计与研究%Study and Development of Automatic Control System for Chamfering Machine Based on PLC

    Institute of Scientific and Technical Information of China (English)

    吴焱明; 伍斌; 臧福海; 朱家诚; 吴天星

    2011-01-01

    According to the current situation that in manual chamfering machine system labor intensity is high and production efficiency is low, a set of automatic chamfering machine is requested to develop to improve the production efficiency. Therefore, PLC is put into use in the control system. The system can control the process of chamfering machine in sequence and achieve continuous cycle processing. Also it can chamfer the both ends of the thin and long bar stock in the same time. And that to different diameter and cutting output, the value can be set at any moment, so it applies to different dimensions workpiece. When the thin and long bar stock is feed, it exits errors which are caused by different length and different feed direction In the mechanical equipment, a photoelectric sensor is fixed near the tool to detect the workpiece accurately. According to the accurate position, the position error and length error can be compensated. It is proved to have the characteristics of celerity, efficiency and accuracy.%针对手工倒角劳动强度高、加工效率低的现状,开发了一台自动倒角机,采用基于PLC的控制系统,对倒角工序进行顺序控制,实现连续循环加工,以提高生产效率.该系统可对细长棒料两端同时倒角,并且可以通过触摸屏设定工件直径和切削量,以满足不同直径工件的倒角要求.利用光电开关准确感应工件的位置,通过相关的控制程序自动补偿工件长度误差和送料定位误差,从而实现快速、高效与高精度的倒角.

  16. Automatic sequences

    CERN Document Server

    Haeseler, Friedrich

    2003-01-01

    Automatic sequences are sequences which are produced by a finite automaton. Although they are not random they may look as being random. They are complicated, in the sense of not being not ultimately periodic, they may look rather complicated, in the sense that it may not be easy to name the rule by which the sequence is generated, however there exists a rule which generates the sequence. The concept automatic sequences has special applications in algebra, number theory, finite automata and formal languages, combinatorics on words. The text deals with different aspects of automatic sequences, in particular:· a general introduction to automatic sequences· the basic (combinatorial) properties of automatic sequences· the algebraic approach to automatic sequences· geometric objects related to automatic sequences.

  17. Enabling Automatic Certification of Online Auctions

    Directory of Open Access Journals (Sweden)

    Wei Bai

    2014-04-01

    Full Text Available We consider the problem of building up trust in a network of online auctions by software agents. This requires agents to have a deeper understanding of auction mechanisms and be able to verify desirable properties of a given mechanism. We have shown how these mechanisms can be formalised as semantic web services in OWL-S, a good enough expressive machine-readable formalism enabling software agents, to discover, invoke, and execute a web service. We have also used abstract interpretation to translate the auction's specifications from OWL-S, based on description logic, to COQ, based on typed lambda calculus, in order to enable automatic verification of desirable properties of the auction by the software agents. For this language translation, we have discussed the syntactic transformation as well as the semantics connections between both concrete and abstract domains. This work contributes to the implementation of the vision of agent-mediated e-commerce systems.

  18. Automatic translation among spoken languages

    Science.gov (United States)

    Walter, Sharon M.; Costigan, Kelly

    1994-01-01

    The Machine Aided Voice Translation (MAVT) system was developed in response to the shortage of experienced military field interrogators with both foreign language proficiency and interrogation skills. Combining speech recognition, machine translation, and speech generation technologies, the MAVT accepts an interrogator's spoken English question and translates it into spoken Spanish. The spoken Spanish response of the potential informant can then be translated into spoken English. Potential military and civilian applications for automatic spoken language translation technology are discussed in this paper.

  19. Automated solar-cell-array assembly machine

    Science.gov (United States)

    Costogue, E. N.; Mueller, R. L.; Person, J. K.; Yasui, R. K.

    1978-01-01

    Continuous-feeding machine automatically bonds solar cells to printed-circuit substrate. In completed machine, cells move to test station where electrical characteristics could be checked. If performance of cell is below specifications, that cell is marked and removed. All machine functions are synchronized by electronics located within unit. It may help to lower costs in future solar-cell production.

  20. Automatic Defect lnspection of PCB Based on Machine Vision Technology%基于机器视觉技术的印制电路板自动检测研究

    Institute of Scientific and Technical Information of China (English)

    汤宏亮

    2015-01-01

    ln this paper,applying to image acquisition,image processing,image recognition to design a printed circuit board defects automatic detection system based on machine vision technology,in which the image processing software as part of the core of this issue,focusing on the key functional modules include Grayhound image filtering,image sharpening,im-age recognition several parts design and programming,and complete visual C ++ based visual programming dialog.%通过图像采集、图像处理、图像识别设计一套基于机器视觉技术的印刷电路板缺陷的自动检测系统,其中图像处理软件部分作为该课题的核心,着重研究了其关键功能模块包括图像灰度化、图像滤波、图像锐化、图像识别几个部分设计与编程,并完成Visual C++基于对话框的可视化编程。

  1. Control System of Changing Frequency Velocity Modulation for Automatic Washing Machine Based on PLC%基于PLC的全自动洗衣机变频调速控制系统

    Institute of Scientific and Technical Information of China (English)

    赵迎春

    2011-01-01

    Siemens PLC S7- 200 as the control center,Anchuan F7 frequency converter as the implementation devices, it realizes changing frequency velocity modulation control for automatic washing machine. It has many advantages than the previous fixed frequency velocity modulation control system. Focus on the hardware interface design and software programming using ladder diagram, it realizes the automation of the system. Practice has proved that the system has Iow noise, high dewatering rate etc, and it meets the requirements of high - level laundry.%以西门子PLC S7-200为控制核心,以安川F7变频器为执行装置,实现全自动洗衣机的变频调速控制,比以往的定频调速控制系统有着很多的优势.着重进行PLC硬件接口设计,采用梯形图进行软件编程,实现了系统的自动化.实践证明,系统具有低噪音、脱水率高等优点,可以满足高层次的洗衣要求.

  2. Design of High Precision Height Automatic Adjustment System for NC Cutting Machine Based on Ultrasonic Motor%基于超声电机的数控切割机高精度自动调高器设计

    Institute of Scientific and Technical Information of China (English)

    邹爱成; 王群英; 韩兴国

    2015-01-01

    Ultrasonic motor has the characteristics of fast response and high positioning accuracy. The ARM controller has quick computing speed. A design scheme of high precision height automatic adjustment system for NC cutting machine was put forward based on ultrasonic motor and ARM controller. The sensor circuit for detecting the micro⁃capacitance, the ARM controller and the driving con⁃trol circuit of ultrasonic motor were designed. The experimental results were analyzed.%超声电机瞬态响应快,定位精度高; ARM控制器运算速度快。采用ARM控制器和超声电机提出一种数控切割机自动调高器的设计方案,设计了检测微电容的电容传感器电路、 ARM控制器和超声电机的驱动控制电路,并对试验结果进行了分析。

  3. Natural language processing techniques for automatic test ...

    African Journals Online (AJOL)

    Journal of Computer Science and Its Application ... The questions were generated by first extracting the text from the materials supplied by the ... Keywords: Discourse Connectives, Machine Learning, Automatic Test Generation E-Learning.

  4. Machine Learning at Scale

    OpenAIRE

    Izrailev, Sergei; Stanley, Jeremy M.

    2014-01-01

    It takes skill to build a meaningful predictive model even with the abundance of implementations of modern machine learning algorithms and readily available computing resources. Building a model becomes challenging if hundreds of terabytes of data need to be processed to produce the training data set. In a digital advertising technology setting, we are faced with the need to build thousands of such models that predict user behavior and power advertising campaigns in a 24/7 chaotic real-time p...

  5. When Machines Design Machines!

    DEFF Research Database (Denmark)

    2011-01-01

    Until recently we were the sole designers, alone in the driving seat making all the decisions. But, we have created a world of complexity way beyond human ability to understand, control, and govern. Machines now do more trades than humans on stock markets, they control our power, water, gas...... and food supplies, manage our elevators, microclimates, automobiles and transport systems, and manufacture almost everything. It should come as no surprise that machines are now designing machines. The chips that power our computers and mobile phones, the robots and commercial processing plants on which we...... depend, all are now largely designed by machines. So what of us - will be totally usurped, or are we looking at a new symbiosis with human and artificial intelligences combined to realise the best outcomes possible. In most respects we have no choice! Human abilities alone cannot solve any of the major...

  6. Annual review in automatic programming

    CERN Document Server

    Goodman, Richard

    2014-01-01

    Annual Review in Automatic Programming, Volume 4 is a collection of papers that deals with the GIER ALGOL compiler, a parameterized compiler based on mechanical linguistics, and the JOVIAL language. A couple of papers describes a commercial use of stacks, an IBM system, and what an ideal computer program support system should be. One paper reviews the system of compilation, the development of a more advanced language, programming techniques, machine independence, and program transfer to other machines. Another paper describes the ALGOL 60 system for the GIER machine including running ALGOL pro

  7. Soft computing in machine learning

    CERN Document Server

    Park, Jooyoung; Inoue, Atsushi

    2014-01-01

    As users or consumers are now demanding smarter devices, intelligent systems are revolutionizing by utilizing machine learning. Machine learning as part of intelligent systems is already one of the most critical components in everyday tools ranging from search engines and credit card fraud detection to stock market analysis. You can train machines to perform some things, so that they can automatically detect, diagnose, and solve a variety of problems. The intelligent systems have made rapid progress in developing the state of the art in machine learning based on smart and deep perception. Using machine learning, the intelligent systems make widely applications in automated speech recognition, natural language processing, medical diagnosis, bioinformatics, and robot locomotion. This book aims at introducing how to treat a substantial amount of data, to teach machines and to improve decision making models. And this book specializes in the developments of advanced intelligent systems through machine learning. It...

  8. Appliance of AC Servo System in Build-up Force Standard Machine Based on FM354%基于FM354的交流伺服系统在机械比对力机上的应用

    Institute of Scientific and Technical Information of China (English)

    张大兴; 张振洲

    2012-01-01

    针对机械比对力机的工艺和控制要求,详细介绍了SIMODRIVE 611A交流伺服驱动系统在机械比对力机上的应用.利用高性能的伺服定位模块FM354,控制交流伺服驱动系统,满足机械比对力机对速度、力矩和大调速范围的要求,使力机满足国家称重传感器检定规程( JJG669 - 90)和称重传感器生产检测要求.%Aimed at technics and control requirement of build-up standard machine,this paper introduced the appliance of SI-MODRIVE 611A AC servo system in build-up standard machine. It use high-powered servo orientation module FM354 to control AC servo drive system. It satisfies the speed,moment and timing range of build-up standard machine,and also satisfies verification regulation of weighing cell (JJG669 -90) and measure requirement of weighing cell in manufacture.

  9. Theory and practice in machining systems

    CERN Document Server

    Ito, Yoshimi

    2017-01-01

    This book describes machining technology from a wider perspective by considering it within the machining space. Machining technology is one of the metal removal activities that occur at the machining point within the machining space. The machining space consists of structural configuration entities, e.g., the main spindle, the turret head and attachments such the chuck and mandrel, and also the form-generating movement of the machine tool itself. The book describes fundamental topics, including the form-generating movement of the machine tool and the important roles of the attachments, before moving on to consider the supply of raw materials into the machining space, and the discharge of swarf from it, and then machining technology itself. Building on the latest research findings “Theory and Practice in Machining System” discusses current challenges in machining. Thus, with the inclusion of introductory and advanced topics, the book can be used as a guide and survey of machining technology for students an...

  10. 基于 STM32的自动涂装机伺服控制系统研究%Study of servo control system for automatic painting machine based on STM32

    Institute of Scientific and Technical Information of China (English)

    王直; 丁超

    2013-01-01

    In view of the low degree of automation of the automatic painting production line in the ship buildingand repair industry, and high reliability requirements for the current situation , we put forward the use of STMicroelectronicsSTM32 microcontroller as a new type of digital control system , introduce double closed-loop digitalregulator algorithm implementation, describe the control system hardware composition principle , give the part ofhardware of the system hardware structure diagram , and briefly introduce the used STM32 standard set of peripheralsfirmware library function.The STM32 can be used in the industrial field where there are some interferencesignals, and at the same time its internal ADC converter can make it more convenient to operate .The designmethod is of low -cost, better reliability, and higher value.The automatic painting machine servo control systemwas tested in the test environment by using Labview to read ADC converted data in the STM 32 board of the hostcomputer.Its measurement accuracy can be up to 0.03 bar.%针对目前修造船行业中自动涂装生产线自动化程度低,但可靠性要求较高的现状,提出了以ST公司的STM32为微控制器的新型数字控制系统.介绍了控制系统的硬件组成原理,采用双闭环数字调节算法,以及STM32的标准外设固件库函数.STM32能够在有一定干扰信号的工业现场使用,其内部带有ADC转换器可以更加方便的进行操作.该设计方法成本低廉,可靠性较好,具有较高的使用价值.在试验环境下架构了自动涂装机伺服控制系统,利用Labview读取STM32板卡中ADC转换后的数据,验证其测量精度可达0.03bar.

  11. An Automatic Program Synthesis Bibliography.

    Science.gov (United States)

    1988-01-19

    experimentation of the BIS system. Interna- tional Journal of Man-Machine Studies, 17:173-188, 1982. [67] A F Cardenas . Technology for automatic...Philadelphia, PA, May 1978. [110] B L Gates and J A van Hulzen. Proceedings of European Conference on Computer Algebra (EUROCAL 85), pages 583-584. Volume 203

  12. Research on Model Building and Simulation for Floating Automatic Mechanism%某浮动式自动机动力学建模仿真研究

    Institute of Scientific and Technical Information of China (English)

    邓辉咏; 张宁; 王炎; 黄晓江

    2015-01-01

    在分析某小口径高炮浮动式自动机拓扑结构基础上,以 ADAMS为分析平台,研究闭锁力的力学模型和在ADAMS中的施加方法,建立自动机的虚拟样机模型并进行有效性验证;分析自动机的动力学特性,研究不同可调流孔面积对自动机浮动性能的影响,确定可调流液孔面积合理范围为20 mm2~40 mm2.%The topologic structure of floating automatic mechanism of a certain anti-aircraft gun is analyzed.Based on ADAMS software,the force model and applied method in ADAMS of dead-lock force are researched,and virtual prototype of floating automatic mechanism is built.The validity of virtual prototype is verified.The dynamic characteristics of the floating automatic mechanism are analyzed,and the effects of different areas of the adj ustable liquid flow holes on the floating automatic mechanism’s characteristics are researched.The suitable adjustable liquid flow holes area should be between:20 mm2~40 mm2 .

  13. 电子产品自动灌胶机PLC控制系统的研究%Research on PLC Control System in Electronic Products Automatic Glue Perfusion Machine

    Institute of Scientific and Technical Information of China (English)

    李光兰

    2013-01-01

    Recently,the electronic information industry is developing rapidly,electronic products have been widely used in various fields.Increasingly high demand for electronic products packaging insulation,vibration-proof and waterproof performance.In the meanwhile,the capacity requirement of control system in glue perfusion equipment also increasingly higher.A technology based on PLC control electronics automatic glue perfusion machine system was designed.This system has the characteristics of less investment,easy to operate,speed fast,precise control and high quality etc.It plays a significance effort to improve the product efficiency and reduce the cost of production.%目前电子信息产业正在高速发展,电子产品已在各个领域中广泛应用,对电子产品封装的绝缘、防振、防水性能的要求越来越高,对灌胶设备的自动化控制系统的能力要求也越来越高.我国多数电子产品生产企业在灌封胶时,大多处于手工操作或半自动化控制阶段,对于批量生产的企业来讲工作效率低,耗费人力大,精度差.研究了一种基于PLC控制的电子产品自动灌胶系统,该系统具有投资少、操作简单、速度快、控制精确与质量高等特点,对提高企业的生产效率、降低生产成本具有重要意义.

  14. Automatic Metadata Extraction - The High Energy Physics Use Case

    CERN Document Server

    Boyd, Joseph; Rajman, Martin

    Automatic metadata extraction (AME) of scientific papers has been described as one of the hardest problems in document engineering. Heterogeneous content, varying style, and unpredictable placement of article components render the problem inherently indeterministic. Conditional random fields (CRF), a machine learning technique, can be used to classify document metadata amidst this uncertainty, annotating document contents with semantic labels. High energy physics (HEP) papers, such as those written at CERN, have unique content and structural characteristics, with scientific collaborations of thousands of authors altering article layouts dramatically. The distinctive qualities of these papers necessitate the creation of specialised datasets and model features. In this work we build an unprecedented training set of HEP papers and propose and evaluate a set of innovative features for CRF models. We build upon state-of-the-art AME software, GROBID, a tool coordinating a hierarchy of CRF models in a full document ...

  15. MDSplus automated build and distribution system

    Energy Technology Data Exchange (ETDEWEB)

    Fredian, T., E-mail: twf@psfc.mit.edu [Massachusetts Institute of Technology, 175 Albany Street, Cambridge, MA 02139 (United States); Stillerman, J. [Massachusetts Institute of Technology, 175 Albany Street, Cambridge, MA 02139 (United States); Manduchi, G. [Consorzio RFX, Euratom-ENEA Association, Corso Stati Uniti 4, Padova 35127 (Italy)

    2014-05-15

    Support of the MDSplus data handling system has been enhanced by the addition of an automated build system which does nightly builds of MDSplus for many computer platforms producing software packages which can now be downloaded using a web browser or via package repositories suitable for automatic updating. The build system was implemented using an extensible continuous integration server product called Hudson which schedules software builds on a collection of VMware based virtual machines. New releases are created based on updates via the MDSplus cvs code repository and versioning are managed using cvs tags and branches. Currently stable, beta and alpha releases of MDSplus are maintained for eleven different platforms including Windows, MacOSX, RedHat Enterprise Linux, Fedora, Ubuntu and Solaris. For some of these platforms, MDSplus packaging has been broken into functional modules so users can pick and choose which MDSplus features they want to install. An added feature to the latest Linux based platforms is the use of package dependencies. When installing MDSplus from the package repositories, any additional required packages used by MDSplus will be installed automatically greatly simplifying the installation of MDSplus. This paper will describe the MDSplus package automated build and distribution system.

  16. 基于自回归模型和关联向量机的癫痫脑电信号自动分类%Automatic Classification of Epileptic EEG Signals Based on AR Model and Relevance Vector Machine

    Institute of Scientific and Technical Information of China (English)

    韩敏; 孙磊磊; 洪晓军; 韩杰

    2011-01-01

    癫痫脑电信号自动分类方法的研究具有重要意义.基于自回归模型和关联向量机,实现癫痫脑电信号的自动分类.采用自回归模型,进行脑电信号特征提取;通过引入主成分分析和线性判别分析两种特征变换方法,降低特征空间维数;采用关联向量机作为分类器,提高模型稀疏性并可以得到概率式输出.在对波恩大学癫痫研究中心脑电信号的分类中,所提出的方法最高准确率可以达到99.875%;在将特征空间维数降至原始维数的1/15时,分类准确率仍可达到99.500%;采用关联向量机作为分类器,模型稀疏性大幅提高,与支持向量机相比,同等条件下关联向量数仅为支持向量数的几十分之一.所提方法可以很好地应用于癫痫脑电信号的自动分类.%Automatic classification system of epileptic EEG signals is one very important issue. In this paper a new epileptic EEG signal classification method was proposed on the basis of AR model and relevance vector machine. AR model was used to extract EEG features, and then principle components analysis and linear discriminant analysis were adopted to reduce the dimensionality of feature space. In order to obtain a sparser model and a model with probabilistic outputs, relevance vector machine was chosen as classifier. A publicly-available database was used to test the proposed method: the highest accuracy obtained in this paper is 99. 875% ; and even if the dimensionality of feature space is reduced to 1/15 of the original dimensionality, the classification accuracy was still able to reach 99. 500% . The introduction of relevance vector machine makes the model sparser; the number of relevance vectors is just a few tenths of that of support vectors. The results mentioned above suggest that the method can be well applied in epileptic EEG signal classification.

  17. Alignment of Custom Standards by Machine Learning Algorithms

    Directory of Open Access Journals (Sweden)

    Adela Sirbu

    2010-09-01

    Full Text Available Building an efficient model for automatic alignment of terminologies would bring a significant improvement to the information retrieval process. We have developed and compared two machine learning based algorithms whose aim is to align 2 custom standards built on a 3 level taxonomy, using kNN and SVM classifiers that work on a vector representation consisting of several similarity measures. The weights utilized by the kNN were optimized with an evolutionary algorithm, while the SVM classifier's hyper-parameters were optimized with a grid search algorithm. The database used for train was semi automatically obtained by using the Coma++ tool. The performance of our aligners is shown by the results obtained on the test set.

  18. USSR Report, Machine Tools and Metalworking Equipment, No. 6

    Science.gov (United States)

    2007-11-02

    operators, forsee shortages of equipment for individual machine groups, or take into account wastage due to nonideal manufacturing condipions. Let us...manufacture, chemical and petroleum machine building, and machine building for light industry, the food industry, and household appliance manufacture...Building for Light and Food Industry and Household Appliances for a group of tool shops at machine-building plants in Kiev, Vinnintsa, and Poltava

  19. Research on an Intelligent Automatic Turning System

    Directory of Open Access Journals (Sweden)

    Lichong Huang

    2012-12-01

    Full Text Available Equipment manufacturing industry is the strategic industries of a country. And its core part is the CNC machine tool. Therefore, enhancing the independent research of relevant technology of CNC machine, especially the open CNC system, is of great significance. This paper presented some key techniques of an Intelligent Automatic Turning System and gave a viable solution for system integration. First of all, the integrated system architecture and the flexible and efficient workflow for perfoming the intelligent automatic turning process is illustrated. Secondly, the innovated methods of the workpiece feature recognition and expression and process planning of the NC machining are put forward. Thirdly, the cutting tool auto-selection and the cutting parameter optimization solution are generated with a integrated inference of rule-based reasoning and case-based reasoning. Finally, the actual machining case based on the developed intelligent automatic turning system proved the presented solutions are valid, practical and efficient.

  20. Build and Execute Environment

    Energy Technology Data Exchange (ETDEWEB)

    2017-04-21

    At exascale, the challenge becomes to develop applications that run at scale and use exascale platforms reliably, efficiently, and flexibly. Workflows become much more complex because they must seamlessly integrate simulation and data analytics. They must include down-sampling, post-processing, feature extraction, and visualization. Power and data transfer limitations require these analysis tasks to be run in-situ or in-transit. We expect successful workflows will comprise multiple linked simulations along with tens of analysis routines. Users will have limited development time at scale and, therefore, must have rich tools to develop, debug, test, and deploy applications. At this scale, successful workflows will compose linked computations from an assortment of reliable, well-defined computation elements, ones that can come and go as required, based on the needs of the workflow over time. We propose a novel framework that utilizes both virtual machines (VMs) and software containers to create a workflow system that establishes a uniform build and execution environment (BEE) beyond the capabilities of current systems. In this environment, applications will run reliably and repeatably across heterogeneous hardware and software. Containers, both commercial (Docker and Rocket) and open-source (LXC and LXD), define a runtime that isolates all software dependencies from the machine operating system. Workflows may contain multiple containers that run different operating systems, different software, and even different versions of the same software. We will run containers in open-source virtual machines (KVM) and emulators (QEMU) so that workflows run on any machine entirely in user-space. On this platform of containers and virtual machines, we will deliver workflow software that provides services, including repeatable execution, provenance, checkpointing, and future proofing. We will capture provenance about how containers were launched and how they interact to annotate

  1. The Application of Automatic Tablet Dispensing Machine in the Central Pharmacy and Its Relationship With Clinical Nursing%全自动片剂摆药机在中心药房的应用体会及与临床护理的关系

    Institute of Scientific and Technical Information of China (English)

    张丽伟; 于振香

    2015-01-01

    本文主要探讨了全自动片剂摆药机在中心药房的应用情况及对护理工作的影响。为各医院应用全自动摆药机提供一定参考意见。本文首先分析了全自动片剂摆药机的优缺点及与临床护理工作的联系。再介绍了我院中心药房应用该设备出现的问题和解决措施。中心药房使用全自动片剂摆药机费用相对较高,且操作人员要求有较高的操作技能,但是能够显著改善工作效率,提高药剂科的临床服务水平。%This paper discusses the automatic tablet machine placed at the center of prescription drug applications for all hospitals use automated prescription devices provide some suggestions. This paper analyzes the automatic tablet prescription devices advantages and disadvantages, and then introduced me to the hospital center prescription application equipment problems and solutions. Center prescription drug use automatic tablet machine placed relatively high cost, and the pharmacist should have higher skills, but can significantly improve work efficiency, improve pharmacy services.

  2. Stopper Control Automatically Pull Steel Control System Application in R9m Continuous Casting Machine%塞棒控制自动拉钢控制系统在R9米连铸机的应用

    Institute of Scientific and Technical Information of China (English)

    王敏

    2014-01-01

    石横特钢二炼钢车间现有四机四流 R9米连铸机一座,优钢的开发和生产全靠塞棒控制系统提供稳定的液面及恒拉速,从而保证钢水形成钢坯的质量,对提高铸坯质量起到一定的作用,在目前工业自动控制系统中,可编程逻辑微处理器(SC3000- PID)、探测器(HN- DET- D51/290- M2)、驱动器(SCDK- S5)作为常用的成熟现场控制设备,上位机作为数据采集系统已经得到广泛使用。通过检测液面,传输到微处理器进行换算, PLC模块控制驱动器直接控制电动缸微动作,实现闭环控制,从而得到高精度的钢水液面。%There is four machine four flow meters caster R9 in Stone Cross Steel no . 2 steelmaking workshop . The development and production of superior steel depend on steady liquid level control sys-tem and constant speed provided by stopper rod control system , so as to guarantee the quality of formed steel billet and play a role to im-prove casting quality . In current industrial automatic control system , programmable logic microprocessor (SC3000 - PID), detector (HN -DET - D51/290 - M2), driver (SCDK - S5) are commonly used as mature field control equipment , and PC as the data acquisition system has been widely used . By detecting liquid level and transmitting to the microprocessor for conversion , PLC module control drive directly con-trols electric cylinder micro motion , achieves closed-loop control , so as to get high precision of liquid steel surface .

  3. 多轴数控机床新型自动拉松刀机构分析%Analysis of Multi-axis CNC Machine Tool Automatic Marathon Knife Mechanism

    Institute of Scientific and Technical Information of China (English)

    张超; 马领兵

    2013-01-01

      多轴机床的代表是五轴联动机床,其加工效率高、精度高,是数控机床先进技术的体现。对数控机床中一种新型的自动拉松刀机构结构进行分析,提出其设计制造过程的重点考虑因素。%On behalf of multi-axis CNC machine tools is the five axis linkage CNC machine. The processing of high efficiency, high precision, is the embodiment of the advanced technology of CNC machine tool. This paper will make analysis of a new auto marathon knife mechanism structure of CNC machine tool, Its extensive application in the CNC machine tool spindle and five axis linkage CNC machine milling head.

  4. Annual review in automatic programming

    CERN Document Server

    Goodman, Richard

    2014-01-01

    Annual Review in Automatic Programming focuses on the techniques of automatic programming used with digital computers. Topics covered range from the design of machine-independent programming languages to the use of recursive procedures in ALGOL 60. A multi-pass translation scheme for ALGOL 60 is described, along with some commercial source languages. The structure and use of the syntax-directed compiler is also considered.Comprised of 12 chapters, this volume begins with a discussion on the basic ideas involved in the description of a computing process as a program for a computer, expressed in

  5. A question of economic efficiency. Automatic facility management in the M. DuMont Schauberg building; Ein Gebot der Wirtschaftlichkeit. Verlag M. DuMont Schauberg mit neuer Gebaeudeautomation

    Energy Technology Data Exchange (ETDEWEB)

    Muschard, H.J. [Abt. Instandhaltung und Versorgung im Verlag M. DuMont Schauberg, Koeln (Germany); Sommer, M. [Siemens Building Technologies/Landis und Staefa GmbH, Region Duesseldorf, Neuss (Germany)

    2003-07-01

    M. DuMont Schauberg is a big Cologne publishing house and a pioneer in environmental protection. When the technical facilities of the office buildings were modernized, automatic facility management was installed as well as a LWL network with Ethernet TCP/IP standard for connection of the existing substations. [German] Der Verlag M. DuMont Schauberg in Koeln zaehlt im Verlags- und Druckereiwesen zu den Pionieren eines praktizierten Umweltschutzes. Ziel ist es, saubere Technologien einzusetzen bzw. Energien und Rohstoffe umweltbewusst zu nutzen. Ein wichtiges Hilfsmittel zur Verbesserung der Energiebilanz und zur Sicherstellung der Versorgung des Medienunternehmens mit Waerme, Kaelte, Wasser und Luft ist die Gebaeudeleittechnik. Im Zuge aktueller Neubau- und Umbaumassnahmen wurde kuerzlich die alte zentrale Leittechnik durch eine moderne Gebaeudeautomation ersetzt sowie ein LWL-Netzwerk auf Ethernet TCP/IP-Standard zum Anschluss der vorhandenen Unterstationen installiert. (orig.)

  6. 基于机载LiDAR和GIS数据的建筑物变化信息自动检测方法%Automatic detection of change information for buildings based on airborne LiDAR and GIS data

    Institute of Scientific and Technical Information of China (English)

    唐菲菲; 阮志敏; 张亚利; 彭丽

    2016-01-01

    建筑物的变化信息对地图更新和相关地理要素的统计至关重要.首先,通过LiDAR数据提取建筑物信息,应用alpha-shapes算法得到建筑物的边缘信息;然后,将该信息和GIS地图矢量数据对比,应用多级变化检测策略进行自动检测,得出变化的建筑物并精确到建筑物变化的细部特征.该方法不仅能实现建筑物的定性变化检测,而且能对变化信息进行定量统计,检测结果的准确率达到95%.与以往单纯利用影像数据的方法相比,该方法自动化程度和效率均较高,且处理流程简捷.%The change information of buildings is vital for map updating and statistics of geographical features.First,the information of buildings was extracted from airborne LiDAR data and the edges of buildings were detected by the alpha-shapes algorithm.Then the edges were compared with those in GIS vector data using multi-level change detection strategy to detect the slight changes of buildings automatically.The experiment results show that not only qualitative change detection can be accomplished but also the quantitative statistics of changed features can be obtained,with the accuracy of detection results reaching 95%.Compared with previous methods based on image,this method has advantages of high automation,simple processing procedures and high efficiency.

  7. 法律领域术语部件的描述%Building the Legal Term Component Database for Automatic Term Extraction

    Institute of Scientific and Technical Information of China (English)

    那日松; 刘青; 陈永朝; 朱磊

    2011-01-01

    从实现自动抽取法律术语的目的出发,立足于法律术语具有术语部件的特点,建立了由579条部件组成的法律术语部件库,并针对各种属性的术语部件做出统计分析,完成了每个法律术语部件"生成能力"和"贡献度"两个属性的详细描述。%Based on the purpose of automatic extraction and characteristics of term components in the legal field, we constructed a legal term component database which is composed of 579 components. Also, based on statistical analyses of these term components, we described the "generation capacity" and "contribution" of each term component.

  8. Machine Translation

    Institute of Scientific and Technical Information of China (English)

    张严心

    2015-01-01

    As a kind of ancillary translation tool, Machine Translation has been paid increasing attention to and received different kinds of study by a great deal of researchers and scholars for a long time. To know the definition of Machine Translation and to analyse its benefits and problems are significant for translators in order to make good use of Machine Translation, and helpful to develop and consummate Machine Translation Systems in the future.

  9. Sustainable machining

    CERN Document Server

    2017-01-01

    This book provides an overview on current sustainable machining. Its chapters cover the concept in economic, social and environmental dimensions. It provides the reader with proper ways to handle several pollutants produced during the machining process. The book is useful on both undergraduate and postgraduate levels and it is of interest to all those working with manufacturing and machining technology.

  10. The construction of the CMS electromagnetic calorimeter: automatic measurements of the physics parameters of PWO crystals

    CERN Multimedia

    2005-01-01

    Crystal properties (dimensions, optical transmission, light yield) are automatically measured. The pictures show different measurement stations of the automatic machine. Crystals are measured on trays containing five crystals each.

  11. Building the ISS

    Institute of Scientific and Technical Information of China (English)

    石继忠; 李秀霞

    2007-01-01

    Have you seen people building houses?To build a house,you need workers.They use their hands,tools and machines to put everything together. Building the ISS is almost the same.The difference is that the workers are astronauts.They

  12. STEP based Finish Machining CAPP system

    OpenAIRE

    A Arivazhagan; Mehta, NK; Jain, PK

    2012-01-01

    This research paper presents various methodologies developed in a STEP based Computer Aided Process Planning (CAPP) system named "Finish Machining – CAPP" (FM-CAPP). It is developed to generate automatic process plans for finish machining prismatic parts. It is designed in a modular fashion consisting of three main modules, namely (i) Feature Recognition module (FRM) (ii) Machining Planning Module (MPM) and (iii) Setup Planning Module (SPM). The FRM Module analyses the geometrical and topolog...

  13. Machine learning for medical images analysis.

    Science.gov (United States)

    Criminisi, A

    2016-10-01

    This article discusses the application of machine learning for the analysis of medical images. Specifically: (i) We show how a special type of learning models can be thought of as automatically optimized, hierarchically-structured, rule-based algorithms, and (ii) We discuss how the issue of collecting large labelled datasets applies to both conventional algorithms as well as machine learning techniques. The size of the training database is a function of model complexity rather than a characteristic of machine learning methods.

  14. TRANSLATOR OF FINITE STATE MACHINE MODEL PARAMETERS FROM MATLAB ENVIRONMENT INTO HUMAN-MACHINE INTERFACE APPLICATION

    OpenAIRE

    2012-01-01

    Technology and means for automatic translation of FSM model parameters from Matlab application to human-machine interface application is proposed. The example of technology application to the electric apparatus model is described.

  15. A Demonstration of Automatically Switched Optical Network

    Institute of Scientific and Technical Information of China (English)

    2003-01-01

    We build an automatically switched optical network (ASON) testbed with four optical cross-connect nodes. Many fundamental ASON features are demonstrated, which is implemented by control protocols based on generalized multi-protocol label switching (GMPLS) framework.

  16. Automatic classification of seismo-volcanic signatures

    Science.gov (United States)

    Malfante, Marielle; Dalla Mura, Mauro; Mars, Jérôme; Macedo, Orlando; Inza, Adolfo; Métaxian, Jean-Philippe

    2017-04-01

    The prediction of volcanic eruptions and the evaluation of their associated risks is still a timely and open issue. For this purpose, several types of signals are recorded in the proximity of volcanoes and then analysed by experts. Typically, seismic signals that are considered as precursor or indicator of an active volcanic phase are detected and manually classified. In this work, we propose an architecture for automatic classification of seismo-volcanic waves. The system we propose is based on supervised machine learning. Specifically, a prediction model is built from a large dataset of labelled examples by the means of a learning algorithm (Support Vector Machine or Random Forest). Four main steps are involved: (i) preprocess the signals, (ii) from each signal, extract features that are useful for the classes discrimination, (iii) use an automatic learning algorithm to train a prediction model and (iv) classify (i.e., assign a semantic label) newly recorded and unlabelled examples. Our main contribution lies in the definition of the feature space used to represent the signals (i.e., in the choice of the features to extract from the data). Feature vectors describe the data in a space of lower dimension with respect to the original one. Ideally, signals are separable in the feature space depending on their classes. For this work, we consider a large set of features (79) gathered from an extensive state of the art in both acoustic and seismic fields. An analysis of this feature set shows that for the application of interest, 11 features are sufficient to discriminate the data. The architecture is tested on 4725 seismic events recorded between June 2006 and September 2011 at Ubinas, the most active volcano of Peru. Six main classes of signals are considered: volcanic tremors (TR), long period (LP), volcano-tectonic (VT), explosion (EXP), hybrids (HIB) and tornillo (TOR). Our model reaches above 90% of accuracy, thereby validating the proposed architecture and the

  17. System on Programable Chip for Performance Estimation of Loom Machine

    CERN Document Server

    Singh, Gurpreet; S, Surekha K; Pujari, S

    2012-01-01

    System on programmable chip for the performance estimation of loom machine, which calculates the efficiency and meter count for weaved cloth automatically. Also it calculates the efficiency of loom machine. Previously the same was done using manual process which was not efficient. This article is intended for loom machines which are not modern.

  18. System on Programable Chip for Performance Estimation of Loom Machine

    Directory of Open Access Journals (Sweden)

    Gurpreet Singh

    2012-03-01

    Full Text Available System on programmable chip for the performance estimation of loom machine, which calculates the efficiency and meter count for weaved cloth automatically. Also it calculates the efficiency of loom machine. Previously the same was done using manual process which was not efficient. This article is intended for loom machines which are not modern.

  19. Using support vector machines to improve elemental ion identification in macromolecular crystal structures

    Energy Technology Data Exchange (ETDEWEB)

    Morshed, Nader [University of California, Berkeley, CA 94720 (United States); Lawrence Berkeley National Laboratory, Berkeley, CA 94720 (United States); Echols, Nathaniel, E-mail: nechols@lbl.gov [Lawrence Berkeley National Laboratory, Berkeley, CA 94720 (United States); Adams, Paul D., E-mail: nechols@lbl.gov [Lawrence Berkeley National Laboratory, Berkeley, CA 94720 (United States); University of California, Berkeley, CA 94720 (United States)

    2015-05-01

    A method to automatically identify possible elemental ions in X-ray crystal structures has been extended to use support vector machine (SVM) classifiers trained on selected structures in the PDB, with significantly improved sensitivity over manually encoded heuristics. In the process of macromolecular model building, crystallographers must examine electron density for isolated atoms and differentiate sites containing structured solvent molecules from those containing elemental ions. This task requires specific knowledge of metal-binding chemistry and scattering properties and is prone to error. A method has previously been described to identify ions based on manually chosen criteria for a number of elements. Here, the use of support vector machines (SVMs) to automatically classify isolated atoms as either solvent or one of various ions is described. Two data sets of protein crystal structures, one containing manually curated structures deposited with anomalous diffraction data and another with automatically filtered, high-resolution structures, were constructed. On the manually curated data set, an SVM classifier was able to distinguish calcium from manganese, zinc, iron and nickel, as well as all five of these ions from water molecules, with a high degree of accuracy. Additionally, SVMs trained on the automatically curated set of high-resolution structures were able to successfully classify most common elemental ions in an independent validation test set. This method is readily extensible to other elemental ions and can also be used in conjunction with previous methods based on a priori expectations of the chemical environment and X-ray scattering.

  20. Fast and Automatic Railway Building Structure Clearance Detection Technique Based on Mobile Binocular Stereo Vision%基于移动双目视觉的铁路建筑物限界快速自动检测方法

    Institute of Scientific and Technical Information of China (English)

    胡庆武; 陈智勇; 吴莎

    2012-01-01

    采用高速、高分辨率CCD相机以优于10-6s时间同步精度获取铁路建筑物限界的移动双目立体图像.提出了基于移动双目视觉测量模型,通过自检校多传感器系统标定和DGPS/IMU集成处理计算各双目图像严密的内、外方位元素,构建立体图像中各要素的空间相对关系.提出基于自动拟合计算的线路中心线空间位置的建筑物限界计算模型,与车辆限界相结合计算建筑物限界参数.设计并开发了一个基于双目视觉的铁路建筑物限界自动检测试验系统,进行铁路建筑物限界自动检测试验,对其精度进行分析和讨论,结果表明可达到标准规定的技术指标.%The synchronization imaging technique with high speed and high resolution CCD cameras is presented to obtain the mobile binocular stereo image of the clearances of railway building structures. With the unit timing board, the binocular images can obtain synchronized time to GPS/IMU sensors less than 10~6s. The photo-grammetry surveying model based on mobile binocular vision is proposed. With the sensor calibration parameters based on self-calibration and the train position and attitude from DGPS/IMU integration, all the objects in the stereo images can be restricted within a precise formulation. The intelligent image processing algorithm is designed to automatically extract railway from the binocular sequence images to calculate the railway center-line. The railway building structure clearance calculation model with the railway centerline is presented to calculate the building constructure clearance parameters within the railway clearance standards. The experiment system of railway building structure clearances is designed with the proposed methodology for project applications. The accuracy of building structure clearance detection is less than 0. 03m which satisfies the railway clearance measurement standards.

  1. Automatic Reading

    Institute of Scientific and Technical Information of China (English)

    胡迪

    2007-01-01

    <正>Reading is the key to school success and,like any skill,it takes practice.A child learns to walk by practising until he no longer has to think about how to put one foot in front of the other.The great athlete practises until he can play quickly,accurately and without thinking.Ed- ucators call it automaticity.

  2. A Boltzmann machine for the organization of intelligent machines

    Science.gov (United States)

    Moed, Michael C.; Saridis, George N.

    1989-01-01

    In the present technological society, there is a major need to build machines that would execute intelligent tasks operating in uncertain environments with minimum interaction with a human operator. Although some designers have built smart robots, utilizing heuristic ideas, there is no systematic approach to design such machines in an engineering manner. Recently, cross-disciplinary research from the fields of computers, systems AI and information theory has served to set the foundations of the emerging area of the design of intelligent machines. Since 1977 Saridis has been developing an approach, defined as Hierarchical Intelligent Control, designed to organize, coordinate and execute anthropomorphic tasks by a machine with minimum interaction with a human operator. This approach utilizes analytical (probabilistic) models to describe and control the various functions of the intelligent machine structured by the intuitively defined principle of Increasing Precision with Decreasing Intelligence (IPDI) (Saridis 1979). This principle, even though resembles the managerial structure of organizational systems (Levis 1988), has been derived on an analytic basis by Saridis (1988). The purpose is to derive analytically a Boltzmann machine suitable for optimal connection of nodes in a neural net (Fahlman, Hinton, Sejnowski, 1985). Then this machine will serve to search for the optimal design of the organization level of an intelligent machine. In order to accomplish this, some mathematical theory of the intelligent machines will be first outlined. Then some definitions of the variables associated with the principle, like machine intelligence, machine knowledge, and precision will be made (Saridis, Valavanis 1988). Then a procedure to establish the Boltzmann machine on an analytic basis will be presented and illustrated by an example in designing the organization level of an Intelligent Machine. A new search technique, the Modified Genetic Algorithm, is presented and proved

  3. Design and Implementation of Intelligent Automatic Purging Control System for All-electric Injection Molding Machine%全电动注塑机智能自动清洗系统控制方法的设计与实现

    Institute of Scientific and Technical Information of China (English)

    于盛睿; 崔树标; 周华民; 李荣荣; 高煌

    2012-01-01

    The manual style had a very negative impact on the plasticization apparatus and precision of injection, so this paper aimed to propose an intelligent automatic purging system and control method for all-electric injection molding machine in order to protect the key plasticization component-screw, which was assembled in the barrel of injection molding machine. The structure, operating principle and program diagram about this control system were introduced. The determinant conditions of entering the automatic purging process were established. Using the determinant conditions, the system can determine intelligently whether the barrel of injection molding machine was needed to be purged or not. A process parameters database of automatic purging was established according to the type of plastic material. The control system was constructed in Linux operating system and Huazhong CNC system platform HNC-8. In each experiment, the PP material of weight of 150 g totally was used to test. The result showed that the automatic purging efficiency was more than the manual's by 33. 7% , and the weight percent of purged remnant material by automatic purging was less than the manual's by 1.84%. Therefore, the efficiency of the designed automatic purge system was superior to the manual. The proposed method can assure the screw's injection precision and performance of the machine, and finally improve the molded part quality and precision.%针对注塑生产过程中手动清洗料筒对注塑精度和塑化装置的影响,为了保护重要塑化元件,在原有注射装置不改变的前提下,提出对料筒中螺杆进行智能自动清洗功能的控制方案,构建智能自动清洗控制系统,阐述了自动清洗系统控制部分的组成、运动原理及工作过程.建立进入自动清洗程序模块的判定条件,对需要进行自动清洗料筒的工况进行智能判断,根据清洗对象建立清洗工艺数据库,基于Linux环境与华中数控HNC-8数控开发平

  4. Automatic surface inoculation of agar trays.

    Science.gov (United States)

    Wilkins, J. R.; Mills, S. M.; Boykin, E. H.

    1972-01-01

    Description of a machine and technique for the automatic inoculation of a plastic tray containing agar media with a culture, using either a conventional inoculation loop or a cotton swab. The design of the machine is simple, it is easy to use, and it relieves the operator from the manual task of streaking cultures. The described technique makes possible the visualization of the overall qualitative and, to some extent, quantitative relationships of various bacterial types in a sample tested.

  5. Simple machines

    CERN Document Server

    Graybill, George

    2007-01-01

    Just how simple are simple machines? With our ready-to-use resource, they are simple to teach and easy to learn! Chocked full of information and activities, we begin with a look at force, motion and work, and examples of simple machines in daily life are given. With this background, we move on to different kinds of simple machines including: Levers, Inclined Planes, Wedges, Screws, Pulleys, and Wheels and Axles. An exploration of some compound machines follows, such as the can opener. Our resource is a real time-saver as all the reading passages, student activities are provided. Presented in s

  6. Evaluation of automatic vacuum- assisted compaction solutions

    Directory of Open Access Journals (Sweden)

    M. Brzeziński

    2011-01-01

    Full Text Available Currently on the mould-making machines market the companies like: DiSA, KUENKEL WAGNER, HAFLINGER, HEINRICH WAGNER SINTO, HUNTER, SAVELLI AND TECHNICAL play significant role. These companies are the manufacturers of various solutions in machines and instalations applied in foundry engineering. Automatic foundry machines for compaction of green sand have the major role in mechanisation and automation processes of making the mould. The concept of operation of automatic machines is based on the static and dynamic methods of compacting the green sand. The method which gains the importance is the compacting method by using the energy of the air pressure. It's the initial stage or the supporting process of compacting the green sand. However in the automatic mould making machines using this method it's essential to use the additional compaction of the mass in order to receive the final parameters of the form. In the constructional solutions of the machines there is the additional division which concerns the method of putting the sand into the mould box. This division distinquishes the transport of the sand with simultaneous compaction or the putting of the sand without the pre-compaction. As the solutions of the major manufacturers are often the subject for application in various foundries, the authors of the paper would like/have the confidence to present their own evaluation process confirmed by their own researches and independent analysis of the producers' solutions.

  7. 基于制造特征的三轴高速铣削数控自动编程技术%MACHINING-FEATURE BASED 3-AXIS AUTOMATIC NC PROGRAMMING FOR HIGH-SPEED MILLING

    Institute of Scientific and Technical Information of China (English)

    孙全平; 汪通悦; 廖文和; 何宁

    2007-01-01

    运用面向对象技术,描述了待加工件的制造特征.利用模糊最大隶属原则,实现了加工区域几何制造特征的识别.以高速加工工艺数据库和范例库为支撑,采用IFTHEN规则和模糊匹配方法,提取出了适合高速铣削加工的工艺信息.提出了以切削时间短、加工成本低、表面质量高为目标的工艺方案寻优模型,该模型有助于形成成功的加工范例.依据已有加工范例和提取的工艺信息,实现了3轴高速铣削加工的自动编程.%Machining-features of the workplace are described by using of the object-oriented (O-O) technology. Geometrical machining-features are recognized in the given cut region by using the maximum membership priciple about the fuzzy set. Depending on the IF-THEN rule and the fuzzy matching method, the rough information of the machining-process for high-speed milling (HSM) is extracted based on the database of machining-process for HSM. The optimization model of machining-process scheme is established to obtain shorter cut time, lower cost or higher surface quality. It is helpful to form successful cases for HSM. NC programming for HSM is realized according to optimized machining-process data from HSM cases selected by the optimization model and the extracted information of machining-process.

  8. Machines and Metaphors

    Directory of Open Access Journals (Sweden)

    Ángel Martínez García-Posada

    2016-10-01

    Full Text Available The edition La ley del reloj. Arquitectura, máquinas y cultura moderna (Cátedra, Madrid, 2016 registers the useful paradox of the analogy between architecture and technique. Its author, the architect Eduardo Prieto, also a philosopher, professor and writer, acknowledges the obvious distance from machines to buildings, so great that it can only be solved using strange comparisons, since architecture does not move nor are the machines habitable, however throughout the book, from the origin of the metaphor of the machine, with clarity in his essay and enlightening erudition, he points out with certainty some concomitances of high interest, drawing throughout history a beautiful cartography of the fruitful encounter between organics and mechanics.

  9. Machine Learning Markets

    CERN Document Server

    Storkey, Amos

    2011-01-01

    Prediction markets show considerable promise for developing flexible mechanisms for machine learning. Here, machine learning markets for multivariate systems are defined, and a utility-based framework is established for their analysis. This differs from the usual approach of defining static betting functions. It is shown that such markets can implement model combination methods used in machine learning, such as product of expert and mixture of expert approaches as equilibrium pricing models, by varying agent utility functions. They can also implement models composed of local potentials, and message passing methods. Prediction markets also allow for more flexible combinations, by combining multiple different utility functions. Conversely, the market mechanisms implement inference in the relevant probabilistic models. This means that market mechanism can be utilized for implementing parallelized model building and inference for probabilistic modelling.

  10. Reversible machine code and its abstract processor architecture

    DEFF Research Database (Denmark)

    Axelsen, Holger Bock; Glück, Robert; Yokoyama, Tetsuo

    2007-01-01

    A reversible abstract machine architecture and its reversible machine code are presented and formalized. For machine code to be reversible, both the underlying control logic and each instruction must be reversible. A general class of machine instruction sets was proven to be reversible, building...

  11. Electric machine

    Science.gov (United States)

    El-Refaie, Ayman Mohamed Fawzi [Niskayuna, NY; Reddy, Patel Bhageerath [Madison, WI

    2012-07-17

    An interior permanent magnet electric machine is disclosed. The interior permanent magnet electric machine comprises a rotor comprising a plurality of radially placed magnets each having a proximal end and a distal end, wherein each magnet comprises a plurality of magnetic segments and at least one magnetic segment towards the distal end comprises a high resistivity magnetic material.

  12. Knowledge formalization of intelligent building

    Science.gov (United States)

    Žáček, Martin

    2016-06-01

    This article aim is understanding the basic knowledge about an intelligent building. The notion of the intelligent building can be called any building equipped with computer and communication technology, which can automatically respond to internal or external stimuli. The result of the intelligent building is an automated and foreseeing of activities that enable to reduce operating costs and increase comfort. The best way to use the intelligent building is for a low-energy building, a passive building, or for building with high savings. The output of this article is the formalization of basic knowledge of the intelligent building by RDF graph.

  13. 简析火灾状态下建筑物内易燃易爆物自动阻断系统%Automatic Blocking System of Flammable and Explosive Materials in Building under the State of Fire

    Institute of Scientific and Technical Information of China (English)

    高影

    2013-01-01

      火灾每年要夺走成千上万人的生命和健康,造成数以亿计的经济损失,存在有易燃易爆物的建筑物在发生火灾的情况下,由于易燃易爆物的燃烧和爆炸,造成火势的加剧,将严重影响消防人员对火势的控制。本文针对以上问题,通过设计控制电路,提出建筑物内易燃易爆物遇到火灾时自动阻断方法。%Fires claimed the lives and health of tens of thousands of people each year, and caused billions of economic losses. In the case of fire, for buildings with flammable and explosive materials, due to the fire and explosion of flammable and explosive materials, the fire will be more intensifies, will be seriously affected fire control. This paper focuses on these issues, through the design of control circuit, proposed the automatic blocking method of inflammable and explosive materials.

  14. Game-powered machine learning.

    Science.gov (United States)

    Barrington, Luke; Turnbull, Douglas; Lanckriet, Gert

    2012-04-24

    Searching for relevant content in a massive amount of multimedia information is facilitated by accurately annotating each image, video, or song with a large number of relevant semantic keywords, or tags. We introduce game-powered machine learning, an integrated approach to annotating multimedia content that combines the effectiveness of human computation, through online games, with the scalability of machine learning. We investigate this framework for labeling music. First, a socially-oriented music annotation game called Herd It collects reliable music annotations based on the "wisdom of the crowds." Second, these annotated examples are used to train a supervised machine learning system. Third, the machine learning system actively directs the annotation games to collect new data that will most benefit future model iterations. Once trained, the system can automatically annotate a corpus of music much larger than what could be labeled using human computation alone. Automatically annotated songs can be retrieved based on their semantic relevance to text-based queries (e.g., "funky jazz with saxophone," "spooky electronica," etc.). Based on the results presented in this paper, we find that actively coupling annotation games with machine learning provides a reliable and scalable approach to making searchable massive amounts of multimedia data.

  15. Automatic Extraction of Metadata from Scientific Publications for CRIS Systems

    Science.gov (United States)

    Kovacevic, Aleksandar; Ivanovic, Dragan; Milosavljevic, Branko; Konjovic, Zora; Surla, Dusan

    2011-01-01

    Purpose: The aim of this paper is to develop a system for automatic extraction of metadata from scientific papers in PDF format for the information system for monitoring the scientific research activity of the University of Novi Sad (CRIS UNS). Design/methodology/approach: The system is based on machine learning and performs automatic extraction…

  16. Automatic Extraction of Metadata from Scientific Publications for CRIS Systems

    Science.gov (United States)

    Kovacevic, Aleksandar; Ivanovic, Dragan; Milosavljevic, Branko; Konjovic, Zora; Surla, Dusan

    2011-01-01

    Purpose: The aim of this paper is to develop a system for automatic extraction of metadata from scientific papers in PDF format for the information system for monitoring the scientific research activity of the University of Novi Sad (CRIS UNS). Design/methodology/approach: The system is based on machine learning and performs automatic extraction…

  17. Pressure-control purge panel for automatic butt welding

    Science.gov (United States)

    Lang, E. J.; Van Wagner, B. H.

    1969-01-01

    Modification of a purge panel for use in an automatic butt weld reduces the drop in pressure between the regulators and the weld head and tube purge fitting. The invention affects air regulators for plants, regulating circuits for pneumatic valves, and automatic welding machines.

  18. The Machine within the Machine

    CERN Multimedia

    Katarina Anthony

    2014-01-01

    Although Virtual Machines are widespread across CERN, you probably won't have heard of them unless you work for an experiment. Virtual machines - known as VMs - allow you to create a separate machine within your own, allowing you to run Linux on your Mac, or Windows on your Linux - whatever combination you need.   Using a CERN Virtual Machine, a Linux analysis software runs on a Macbook. When it comes to LHC data, one of the primary issues collaborations face is the diversity of computing environments among collaborators spread across the world. What if an institute cannot run the analysis software because they use different operating systems? "That's where the CernVM project comes in," says Gerardo Ganis, PH-SFT staff member and leader of the CernVM project. "We were able to respond to experimentalists' concerns by providing a virtual machine package that could be used to run experiment software. This way, no matter what hardware they have ...

  19. Research on automatic boring-milling machine control system based on touch screen and PLC%基于触摸屏与PLC的自动镗铣床控制系统研究

    Institute of Scientific and Technical Information of China (English)

    齐凤莲; 陈晓男; 赵民; 许丽娟; 雷东亮

    2012-01-01

    In this paper, we take the work principle of a boring-milling machine as the research object. Proposing a combination of PLC and touch screen for improving ordinary boring-milling machine control system. Designing a multi-window man-machine interface which is made by a touch screen. In its existing control panel operation, we added a new touch screen operation mode which machine operation and monitoring are more intuitive and convenient. This paper mainly introduces the PLC-touch screen control system principle and structure design of touch screen. Project example shows that the proposed scheme realizes various operation modes of machine tools and provides a touch screen monitoring method with low cost, and are practical.%以镗铣床的工作原理为研究对象,将PLC与触摸屏相结合,对普通镗铣床控制系统进行改进,并以触摸屏为人机界面,设计出多窗口操作画面.从而在保留原有控制面板操作的基础上增加了触摸屏的操作方式,使机床的操作和监控更为直观和方便.着重介绍了PLC-触摸屏控制系统的结构原理和触摸屏画面的设计.工程实例证明,该方案通过较低的成本实现了机床的多种操作方式和提供了触摸屏的监控方法,具有很强的可实施性.

  20. Diamond Measuring Machine

    Energy Technology Data Exchange (ETDEWEB)

    Krstulic, J.F.

    2000-01-27

    The fundamental goal of this project was to develop additional capabilities to the diamond measuring prototype, work out technical difficulties associated with the original device, and perform automated measurements which are accurate and repeatable. For this project, FM and T was responsible for the overall system design, edge extraction, and defect extraction and identification. AccuGem provided a lab and computer equipment in Lawrence, 3D modeling, industry expertise, and sets of diamonds for testing. The system executive software which controls stone positioning, lighting, focusing, report generation, and data acquisition was written in Microsoft Visual Basic 6, while data analysis and modeling were compiled in C/C++ DLLs. All scanning parameters and extracted data are stored in a central database and available for automated analysis and reporting. The Phase 1 study showed that data can be extracted and measured from diamond scans, but most of the information had to be manually extracted. In this Phase 2 project, all data required for geometric modeling and defect identification were automatically extracted and passed to a 3D modeling module for analysis. Algorithms were developed which automatically adjusted both light levels and stone focus positioning for each diamond-under-test. After a diamond is analyzed and measurements are completed, a report is printed for the customer which shows carat weight, summarizes stone geometry information, lists defects and their size, displays a picture of the diamond, and shows a plot of defects on a top view drawing of the stone. Initial emphasis of defect extraction was on identification of feathers, pinpoints, and crystals. Defects were plotted color-coded by industry standards for inclusions (red), blemishes (green), and unknown defects (blue). Diamonds with a wide variety of cut quality, size, and number of defects were tested in the machine. Edge extraction, defect extraction, and modeling code were tested for

  1. Multielectrode machine for making the cages of bag filters

    Energy Technology Data Exchange (ETDEWEB)

    Gordeev, F.I.; Arkov, V.G.; Boldyrev, A.F.; Sharenko, D.G.; Zhidkov, V.A.

    1986-01-01

    This paper describes an automatic multielectrode machine for making wire cages with an internal spiral. The machine automatically produces an endless cage from wire, joins the wires by multiple spot contact welding, and cuts it into pieces of desired length. The machine is illustrated and the method of making wire cages is demonstrated. The cages are used in bag filters of gas-cleaning systems. The machine can be used to form cages of 130-mm diameter from wires of 3-mm diameter. It is easy to operate and has a high output rate of 90m/h.

  2. On the Automatic Sprinkler System and Electric Linkage Control in High-rise Building Design%浅论高层建筑设计中自动喷水灭火系统及电气联动控制的分析

    Institute of Scientific and Technical Information of China (English)

    王建森; 王建楹; 范玉涛; 刘宗辉

    2013-01-01

    This paper focuses on the automatic sprinkler system and electric linkage control. Along with the development of construction economy, the construction industry changes rapidly. The automatic sprinkler system in high-rise building design is simple, easy to handle and investment saving. In the high-rise buildings with automatic sprinkler system, indoor hydrant system is essential, which is a supplement to the automatic sprinkler system. This paper presents the matters need attention and the improvement method. Automatic sprinkler system and indoor hydrant system plays a very important role in the fire security work of some important buildings.%本文着重对自动喷水灭火系统及电气联动控制进行阐述,随着建设经济的发展,建设行业的日新月异,高层建筑设计中自动喷水灭火系统的应用简单,操作简便,投资小。在有自动喷水灭火系统的高层建筑中,室内消火栓灭火系统必不可少,它是对自动喷水灭火系统的一种补充。文章提出了设计中的注意事项以及改进的方法。在一些重要的建筑物及其场所中的消防安全保障工作中,自动喷水灭火系统和室内消火栓灭火系统起着十分重要的作用。

  3. Scalable Deployment of Advanced Building Energy Management Systems

    Science.gov (United States)

    2013-06-01

    Building Automation and Control Network BDAS Building Data Acquisition System BEM building energy model BIM building information modeling BMS...A prototype toolkit to seamlessly and automatically transfer a Building Information Model ( BIM ) to a Building Energy Model (BEM) has been...circumvent the need to manually construct and maintain a detailed building energy simulation model . This detailed

  4. Fault Tolerance in Distributed Systems using Fused State Machines

    OpenAIRE

    Balasubramanian, Bharath; Vijay K Garg

    2013-01-01

    Replication is a standard technique for fault tolerance in distributed systems modeled as deterministic finite state machines (DFSMs or machines). To correct f crash or f/2 Byzantine faults among n different machines, replication requires nf additional backup machines. We present a solution called fusion that requires just f additional backup machines. First, we build a framework for fault tolerance in DFSMs based on the notion of Hamming distances. We introduce the concept of an (f,m)-fusion...

  5. Reversible machine code and its abstract processor architecture

    DEFF Research Database (Denmark)

    Axelsen, Holger Bock; Glück, Robert; Yokoyama, Tetsuo

    2007-01-01

    A reversible abstract machine architecture and its reversible machine code are presented and formalized. For machine code to be reversible, both the underlying control logic and each instruction must be reversible. A general class of machine instruction sets was proven to be reversible, building ...... on our concept of reversible updates. The presentation is abstract and can serve as a guideline for a family of reversible processor designs. By example, we illustrate programming principles for the abstract machine architecture formalized in this paper....

  6. 铣头可自动交换的高速龙门五轴加工中心设计研究%Design and research on the high-speed gantry-type 5-axis machining center with automatic-exchangeable milling head

    Institute of Scientific and Technical Information of China (English)

    尹刚; 张磊; 刘春时; 李焱

    2011-01-01

    介绍了一种铣头可自动交换的桥式高速龙门五轴加工中心的总体设计方案,对国内外现有的类似机床的性能指标作了详细的对比,其中,主要阐述了机床的机械结构、特点和关键零部件的设计及选型,对三个直线轴驱动方式、两个摆动轴的驱动方式以及数控操作系统的的设计选型作了深入的分析探讨,重点介绍了大推力直线电机的应用和双摆铣头可自动交换技术的应用;为大推力直线电机的应用以及高速龙门机床的设计研究提供了重要的理论依据和实践经验.%An overall design proposal for High-Speed Gantry-Type 5-Axis Machining Center with milling head exchangeable is introduced and a detailed comparison in performance is made with the similar existing machine at home and abroad, in which mechanical structure,characteristics as well as designing and choosing of key components are expounded.Andfurther analysis and discussion are made in the drive type of three liner axis ,two rotary axis as well as the designing and choosing of CNC operating system Especially the application of high thrust linear motor and automatic-exchangeable technology of double rotary milling head are focused on, which provides important theoretical basis and practical experience for the application of high thrust linear motor,design and research of high-speed gantry-type machine.

  7. Automatic lexical classification: bridging research and practice.

    Science.gov (United States)

    Korhonen, Anna

    2010-08-13

    Natural language processing (NLP)--the automatic analysis, understanding and generation of human language by computers--is vitally dependent on accurate knowledge about words. Because words change their behaviour between text types, domains and sub-languages, a fully accurate static lexical resource (e.g. a dictionary, word classification) is unattainable. Researchers are now developing techniques that could be used to automatically acquire or update lexical resources from textual data. If successful, the automatic approach could considerably enhance the accuracy and portability of language technologies, such as machine translation, text mining and summarization. This paper reviews the recent and on-going research in automatic lexical acquisition. Focusing on lexical classification, it discusses the many challenges that still need to be met before the approach can benefit NLP on a large scale.

  8. Automatic identification for standing tree limb pruning

    Institute of Scientific and Technical Information of China (English)

    Sun Renshan; Li Wenbin; Tian Yongchen; Hua Li

    2006-01-01

    To meet the demand of automatic pruning machines,this paper presents a new method for dynamic automatic identification of standing tree limbs and capture of the digital images of Platycladus orientalis.Methods of computer vision,image processing and wavelet analysis technology were used to compress,filter,segment,abate noise and capture the outline of the picture.We then present the arithmetic for dynamic automatic identification of standing tree limbs,extracting basic growth characteristics of the standing trees such as the form,size,degree of bending and their relative spatial position.We use pattern recognition technology to confirm the proportionate relationship matching the database and thus achieve the goal of dynamic automatic identification of standing tree limbs.

  9. Learning as a Machine: Crossovers between Humans and Machines

    Science.gov (United States)

    Hildebrandt, Mireille

    2017-01-01

    This article is a revised version of the keynote presented at LAK '16 in Edinburgh. The article investigates some of the assumptions of learning analytics, notably those related to behaviourism. Building on the work of Ivan Pavlov, Herbert Simon, and James Gibson as ways of "learning as a machine," the article then develops two levels of…

  10. vSphere virtual machine management

    CERN Document Server

    Fitzhugh, Rebecca

    2014-01-01

    This book follows a step-by-step tutorial approach with some real-world scenarios that vSphere businesses will be required to overcome every day. This book also discusses creating and configuring virtual machines and also covers monitoring virtual machine performance and resource allocation options. This book is for VMware administrators who want to build their knowledge of virtual machine administration and configuration. It's assumed that you have some experience with virtualization administration and vSphere.

  11. Machine Learning

    Energy Technology Data Exchange (ETDEWEB)

    Chikkagoudar, Satish; Chatterjee, Samrat; Thomas, Dennis G.; Carroll, Thomas E.; Muller, George

    2017-04-21

    The absence of a robust and unified theory of cyber dynamics presents challenges and opportunities for using machine learning based data-driven approaches to further the understanding of the behavior of such complex systems. Analysts can also use machine learning approaches to gain operational insights. In order to be operationally beneficial, cybersecurity machine learning based models need to have the ability to: (1) represent a real-world system, (2) infer system properties, and (3) learn and adapt based on expert knowledge and observations. Probabilistic models and Probabilistic graphical models provide these necessary properties and are further explored in this chapter. Bayesian Networks and Hidden Markov Models are introduced as an example of a widely used data driven classification/modeling strategy.

  12. Automatic generation of NC program for cylinder-type parts based on machining features%基于加工特征的缸体类零件数控程序自动生成

    Institute of Scientific and Technical Information of China (English)

    杨鹏宇; 曹忠亮; 张楠; 张旭堂

    2011-01-01

    根据企业的产品特点和现有的制造资源,提出了一种新的缸体类的加工特征模型.通过该模型的使用,在设计数控工艺时就能根据加工特征的种类,以模块化的方式进行数控程序的生成,很好地解决了传统工艺和数控工序的集成问题.同时以加工特征为单元,采用参数化技术实现数控程序的派生式生成,在三维环境下进行动态仿真,提高了数控程序设计效率和质量,从而实现了数控程序的模块化设计,提高了数控工艺设计的柔性和自适应能力.该方法在企业的工艺自动化系统中得到了验征.%According to the characteristic of products and the manufacturing resources in some enterprise, a new type of cylinder block machining feature model is proposed. Through the use of the model in the design process, the CNC program is generated by modular approach according to CNC machining features. CNC machining feature classification base process design method is a good solution to the integration issues of the traditional processes and CNC processes. With the machining feature as unit, parametric programming technique is applied to the NC code generation as well as in three-dimensional environment for dynamic simulation, which improves the efficiency of the CNC program design and quality, realizes the modular design of the CNC program and improves the NC process design flexibility and adaptive capacity. The proposed scheme is practically demonstrated by the enterprise system.

  13. Chip breaking system for automated machine tool

    Science.gov (United States)

    Arehart, Theodore A.; Carey, Donald O.

    1987-01-01

    The invention is a rotary selectively directional valve assembly for use in an automated turret lathe for directing a stream of high pressure liquid machining coolant to the interface of a machine tool and workpiece for breaking up ribbon-shaped chips during the formation thereof so as to inhibit scratching or other marring of the machined surfaces by these ribbon-shaped chips. The valve assembly is provided by a manifold arrangement having a plurality of circumferentially spaced apart ports each coupled to a machine tool. The manifold is rotatable with the turret when the turret is positioned for alignment of a machine tool in a machining relationship with the workpiece. The manifold is connected to a non-rotational header having a single passageway therethrough which conveys the high pressure coolant to only the port in the manifold which is in registry with the tool disposed in a working relationship with the workpiece. To position the machine tools the turret is rotated and one of the tools is placed in a material-removing relationship of the workpiece. The passageway in the header and one of the ports in the manifold arrangement are then automatically aligned to supply the machining coolant to the machine tool workpiece interface for breaking up of the chips as well as cooling the tool and workpiece during the machining operation.

  14. Machine testning

    DEFF Research Database (Denmark)

    De Chiffre, Leonardo

    This document is used in connection with a laboratory exercise of 3 hours duration as a part of the course GEOMETRICAL METROLOGY AND MACHINE TESTING. The exercise includes a series of tests carried out by the student on a conventional and a numerically controled lathe, respectively. This document...

  15. Representational Machines

    DEFF Research Database (Denmark)

    Petersson, Dag; Dahlgren, Anna; Vestberg, Nina Lager

    to the enterprises of the medium. This is the subject of Representational Machines: How photography enlists the workings of institutional technologies in search of establishing new iconic and social spaces. Together, the contributions to this edited volume span historical epochs, social environments, technological...

  16. A perspective of primelot on urban political economy:The buildings of urban regime and growth machine%基于组织与机制的“地王”现象政治经济解析

    Institute of Scientific and Technical Information of China (English)

    吴启焰; 曾文

    2011-01-01

    As a phenomenon of urban political economy,urban primelot is an inevitable consequence of the development of urban political economy in China recently.Firstly,this paper reviews the theory of urban political economy at home and abroad;then explains the phenomenon of primelot through theories of urban regime and growth machine by analyzing the mechanism of each interest group behind this setting.It reveals that urban primelot is an urban political economy aftermath of the interactions between different political economy groups in the area of land development.This study also indicates that there are four features in this urban setting.(1) Local government is the core in this growth coalition that dominates other parts or agents/agencies,for the local offices need not care too much about their parochial civilian as well as their superior in Chinese appointed bureaucracy system.(2) The central government not only has the absolute,but final macro controls over the growth coalition as well,however,these leaders are hesitating to disorganize the local growth machines or coalitions since it may jeopardize national economic locomotive which has been lasting for over three decades since Deng Xiaoping's reform and opening up policy started in 1978.(3) Growth coalition and anti-growth coalition constitute a kind of cooperate-collide continuum.The more peripheral individuals or organizations who are distributed away from the center of core-benefit in the building of growth machines might be more inclined to throw themselves into the lap of anti-growth coalition.(4) The category of urban growth machines or urban regimes might differentiate within the development of national citizenship in historical scale and the economic capacity of local governments in geographical scale.In the areas open wider to the ourside world,such as Beijing and Shanghai,the municipalities would rather build somewhat concessionary regimes/federalist regime than conserving regime

  17. Probabilistic machine learning and artificial intelligence.

    Science.gov (United States)

    Ghahramani, Zoubin

    2015-05-28

    How can a machine learn from experience? Probabilistic modelling provides a framework for understanding what learning is, and has therefore emerged as one of the principal theoretical and practical approaches for designing machines that learn from data acquired through experience. The probabilistic framework, which describes how to represent and manipulate uncertainty about models and predictions, has a central role in scientific data analysis, machine learning, robotics, cognitive science and artificial intelligence. This Review provides an introduction to this framework, and discusses some of the state-of-the-art advances in the field, namely, probabilistic programming, Bayesian optimization, data compression and automatic model discovery.

  18. Probabilistic machine learning and artificial intelligence

    Science.gov (United States)

    Ghahramani, Zoubin

    2015-05-01

    How can a machine learn from experience? Probabilistic modelling provides a framework for understanding what learning is, and has therefore emerged as one of the principal theoretical and practical approaches for designing machines that learn from data acquired through experience. The probabilistic framework, which describes how to represent and manipulate uncertainty about models and predictions, has a central role in scientific data analysis, machine learning, robotics, cognitive science and artificial intelligence. This Review provides an introduction to this framework, and discusses some of the state-of-the-art advances in the field, namely, probabilistic programming, Bayesian optimization, data compression and automatic model discovery.

  19. Operating System For Numerically Controlled Milling Machine

    Science.gov (United States)

    Ray, R. B.

    1992-01-01

    OPMILL program is operating system for Kearney and Trecker milling machine providing fast easy way to program manufacture of machine parts with IBM-compatible personal computer. Gives machinist "equation plotter" feature, which plots equations that define movements and converts equations to milling-machine-controlling program moving cutter along defined path. System includes tool-manager software handling up to 25 tools and automatically adjusts to account for each tool. Developed on IBM PS/2 computer running DOS 3.3 with 1 MB of random-access memory.

  20. Operating System For Numerically Controlled Milling Machine

    Science.gov (United States)

    Ray, R. B.

    1992-01-01

    OPMILL program is operating system for Kearney and Trecker milling machine providing fast easy way to program manufacture of machine parts with IBM-compatible personal computer. Gives machinist "equation plotter" feature, which plots equations that define movements and converts equations to milling-machine-controlling program moving cutter along defined path. System includes tool-manager software handling up to 25 tools and automatically adjusts to account for each tool. Developed on IBM PS/2 computer running DOS 3.3 with 1 MB of random-access memory.

  1. Who is in charge of patient safety? Work practice, work processes and utopian views of automatic drug dispensing systems.

    Science.gov (United States)

    Balka, Ellen; Kahnamoui, Nicki; Nutland, Kelsey

    2007-06-01

    In June 2003, a large, Canadian tertiary care facility introduced automatic drug dispensing machines on all units when it opened up a new building. In this paper, we provide an overview of the automatic drug dispensing system (ADS) implementation at the hospital. Our findings, based on daily field observations and interviews during and after implementation, with regular follow-up visits to the field site illustrate how the introduction of the ADS brought to light work practices that sometimes compromised patient safety. We suggest that utopian views of automatic drug dispensing machines obfuscate the challenges inherent to implementing such systems, and deter stakeholders from performing rigorous evaluation of the costs (both social and economic) and benefits of investing in such systems. Our work contributes to debates about the socio-technical efficacy of automating medication dispensing and delivery, and suggests that the balance of power in the patient safety equation lies in the work context and implementation issues, and not just the technology. For technology implementations to be successful considering that technologies frequently cross over jurisdictional boundaries, planning and implementation have to be conducted at a system wide level.

  2. B Development of Automatic Load & Temperature Recording Device for Thermo-Mechanic Testing Machine%热机试验设备负荷及温度自动记录装置的研制

    Institute of Scientific and Technical Information of China (English)

    杨利萍

    2001-01-01

    An automatic load & temperature recording device was developed to meet relevant thermo-mechanical test standard.The technical parameters, basic service mechanism, commissioning and service of such a device are presen ted.%在分析热机试验标准及熟悉试验设备的基础上,进行了热机试验设备负荷及温度自 动记录装置的研制。笔者介绍了热机试验设备负荷及温度自动记录装置的技术参数要求、基 本工作原理、调试过程和实际应用效果。

  3. 数控车床正弦曲线加工及自动测量的实现%Sine Profile Turning and Automatic Online Measuringon CNC Turning Machines

    Institute of Scientific and Technical Information of China (English)

    王立民

    2013-01-01

    This paper uses NC,PLC programming tools of SIEMENS 802D CNC system and VB computer programming language to implement the sine profile turning of rubber roll,automatic online measurement,access & processing of the measured data and print and archive the offline precision graphic files.%利用西门子802D数控编程及功能,结合雷尼绍测量系统及VB计算机编程工具,在数控车床上实现橡胶轧辊的正弦曲线加工,并自动执行在线测量、数据读取及处理,在计算机上形成离线加工精度数据表和图形文件并进行打印和存档.

  4. Automatic Kurdish Dialects Identification

    Directory of Open Access Journals (Sweden)

    Hossein Hassani

    2016-02-01

    Full Text Available Automatic dialect identification is a necessary Lan guage Technology for processing multi- dialect languages in which the dialects are linguis tically far from each other. Particularly, this becomes crucial where the dialects are mutually uni ntelligible. Therefore, to perform computational activities on these languages, the sy stem needs to identify the dialect that is the subject of the process. Kurdish language encompasse s various dialects. It is written using several different scripts. The language lacks of a standard orthography. This situation makes the Kurdish dialectal identification more interesti ng and required, both form the research and from the application perspectives. In this research , we have applied a classification method, based on supervised machine learning, to identify t he dialects of the Kurdish texts. The research has focused on two widely spoken and most dominant Kurdish dialects, namely, Kurmanji and Sorani. The approach could be applied to the other Kurdish dialects as well. The method is also applicable to the languages which are similar to Ku rdish in their dialectal diversity and differences.

  5. Application of Differential Mechanism in the Headstock of Carcass Drum in Tire Building Machine%差动机构在轮胎成型机胎体鼓主轴箱中的应用

    Institute of Scientific and Technical Information of China (English)

    王友成; 季永义

    2014-01-01

    The differential mechanism is applied in the headstock of carcass drum in tire building machine. By combining with absolute encoders and incremental encoders the opening and contraction of the carcass drum can be accurately controlled. In addition, in conjunction with motor inverter, the error of return angle can be minimized. Compared with traditional carcass drum headstock, the new headstock with differential mechanism processes various advantages, for example, simple operation, high accuracy, long service life, low maintenance cost, and high lamination efifciency.%简介差动机构在轮胎成型机胎体鼓主轴箱中的应用。使用差动机构并结合绝对值编码器和增量型编码器可以准确控制胎体鼓的张开与收缩,同时配合电机变频器控制胎体鼓回位角度误差。差动机构胎体鼓主轴箱较传统胎体鼓主轴箱操控简单、准确,使用寿命长,维护成本低,贴胶效率高。

  6. 我院全自动单剂量药品分包机库存管理账物不符的原因及解决措施%Reasons and Countermeasures of Discrepancy of the Account in Inventory Management of Automatic Oral Single Dose Drug Dispensing Machine

    Institute of Scientific and Technical Information of China (English)

    黄航; 乔丽曼; 郑施施; 鲍仕慧

    2015-01-01

    目的:探究全自动单剂量药品分包机库存管理账物不符的原因与解决措施。方法:收集我院2014年2-6月(管理前)分包机使用过程中出现的库存管理账物不符的信息,分析原因,提出解决措施并实施;再通过收集2014年7-11月(管理后)的账物不符的信息评价管理效果。结果与结论:针对各环节如剥药、加药、信息录入等过程引起的账物不符的相关因素,从药品、机器和人员等方面加强管理,如限制拆零药品品规、修改机器参数设置、加强对机器操作人员的培训和考核等,结果分包机账物不符率由管理前的3.34%下降至管理后的0.79%。相关制度的完善与有效措施的实施可明显减少分包机的账物不符率。%OBJECTIVE:To explore the reasons and countermeasures of discrepancy of the account in inventory management of automatic single dose drug dispensing machine. METHODS:The discrepancy information of using sub charter in the process of inventory management from Feb. to Jun. 2014(before management)was collected,the causes were analyzed and countermeasures were put forward and carried out;then management results were evaluated via the discrepancy information from Jul. to Nov. 2014 (after management). RESULTS & CONCLUSIONS:For the relative discrepancy factors such as peeling medicine,adding medi-cine and recording information,etc.,which appeared in each link,the management was strengthened in terms of drug,machine and personnel like limiting scattered drug product rules,modifying the machine parameters settings,strengthening the training and testing of machine operators;and deliver inside account discrepancy rate was decreased from 3.34% to 0.79%. Improvement of the relative system with effective countermeasures can reduce the account sub charter discrepancy rate.

  7. Study of on-machine error identification and compensation methods for micro machine tools

    Science.gov (United States)

    Wang, Shih-Ming; Yu, Han-Jen; Lee, Chun-Yi; Chiu, Hung-Sheng

    2016-08-01

    Micro machining plays an important role in the manufacturing of miniature products which are made of various materials with complex 3D shapes and tight machining tolerance. To further improve the accuracy of a micro machining process without increasing the manufacturing cost of a micro machine tool, an effective machining error measurement method and a software-based compensation method are essential. To avoid introducing additional errors caused by the re-installment of the workpiece, the measurement and compensation method should be on-machine conducted. In addition, because the contour of a miniature workpiece machined with a micro machining process is very tiny, the measurement method should be non-contact. By integrating the image re-constructive method, camera pixel correction, coordinate transformation, the error identification algorithm, and trajectory auto-correction method, a vision-based error measurement and compensation method that can on-machine inspect the micro machining errors and automatically generate an error-corrected numerical control (NC) program for error compensation was developed in this study. With the use of the Canny edge detection algorithm and camera pixel calibration, the edges of the contour of a machined workpiece were identified and used to re-construct the actual contour of the work piece. The actual contour was then mapped to the theoretical contour to identify the actual cutting points and compute the machining errors. With the use of a moving matching window and calculation of the similarity between the actual and theoretical contour, the errors between the actual cutting points and theoretical cutting points were calculated and used to correct the NC program. With the use of the error-corrected NC program, the accuracy of a micro machining process can be effectively improved. To prove the feasibility and effectiveness of the proposed methods, micro-milling experiments on a micro machine tool were conducted, and the results

  8. A Comparison of Different Machine Transliteration Models

    CERN Document Server

    Choi, K; Oh, J; 10.1613/jair.1999

    2011-01-01

    Machine transliteration is a method for automatically converting words in one language into phonetically equivalent ones in another language. Machine transliteration plays an important role in natural language applications such as information retrieval and machine translation, especially for handling proper nouns and technical terms. Four machine transliteration models -- grapheme-based transliteration model, phoneme-based transliteration model, hybrid transliteration model, and correspondence-based transliteration model -- have been proposed by several researchers. To date, however, there has been little research on a framework in which multiple transliteration models can operate simultaneously. Furthermore, there has been no comparison of the four models within the same framework and using the same data. We addressed these problems by 1) modeling the four models within the same framework, 2) comparing them under the same conditions, and 3) developing a way to improve machine transliteration through this com...

  9. Adding machine and calculating machine

    Institute of Scientific and Technical Information of China (English)

    2005-01-01

    In 1642 the French mathematician Blaise Pascal(1623-1662) invented a machine;.that could add and subtract. It had.wheels that each had: 1 to 10 marked off along its circumference. When the wheel at the right, representing units, made one complete circle, it engaged the wheel to its left, represents tens, and moved it forward one notch.

  10. Reusable State Machine Code Generator

    Science.gov (United States)

    Hoffstadt, A. A.; Reyes, C.; Sommer, H.; Andolfato, L.

    2010-12-01

    The State Machine model is frequently used to represent the behaviour of a system, allowing one to express and execute this behaviour in a deterministic way. A graphical representation such as a UML State Chart diagram tames the complexity of the system, thus facilitating changes to the model and communication between developers and domain experts. We present a reusable state machine code generator, developed by the Universidad Técnica Federico Santa María and the European Southern Observatory. The generator itself is based on the open source project architecture, and uses UML State Chart models as input. This allows for a modular design and a clean separation between generator and generated code. The generated state machine code has well-defined interfaces that are independent of the implementation artefacts such as the middle-ware. This allows using the generator in the substantially different observatory software of the Atacama Large Millimeter Array and the ESO Very Large Telescope. A project-specific mapping layer for event and transition notification connects the state machine code to its environment, which can be the Common Software of these projects, or any other project. This approach even allows to automatically create tests for a generated state machine, using techniques from software testing, such as path-coverage.

  11. Structural Optimization of Machine Gun Based on Dynamic Stability Concept

    Institute of Scientific and Technical Information of China (English)

    LI Yong-jian; WANG Rui-lin; ZHANG Ben-jun

    2008-01-01

    Improving the firing accuracy is a final goal of structural optimization of machine guns. The main factors which affect the dispersion accuracy of machine gun are analyzed. Based on the concept of dynamic stability, a structural optimization model is built up, and the sensitivity of dispersion accuracy to design variables is analyzed. The optimization results of a type of machine gun show that the method is valid, feasible, and can be used as a guide to the structural optimization of other automatic weapons.

  12. Evaluating Arabic to English Machine Translation

    Directory of Open Access Journals (Sweden)

    Laith S. Hadla

    2014-11-01

    Full Text Available Online text machine translation systems are widely used throughout the world freely. Most of these systems use statistical machine translation (SMT that is based on a corpus full with translation examples to learn from them how to translate correctly. Online text machine translation systems differ widely in their effectiveness, and therefore we have to fairly evaluate their effectiveness. Generally the manual (human evaluation of machine translation (MT systems is better than the automatic evaluation, but it is not feasible to be used. The distance or similarity of MT candidate output to a set of reference translations are used by many MT evaluation approaches. This study presents a comparison of effectiveness of two free online machine translation systems (Google Translate and Babylon machine translation system to translate Arabic to English. There are many automatic methods used to evaluate different machine translators, one of these methods; Bilingual Evaluation Understudy (BLEU method. BLEU is used to evaluate translation quality of two free online machine translation systems under consideration. A corpus consists of more than 1000 Arabic sentences with two reference English translations for each Arabic sentence is used in this study. This corpus of Arabic sentences and their English translations consists of 4169 Arabic words, where the number of unique Arabic words is 2539. This corpus is released online to be used by researchers. These Arabic sentences are distributed among four basic sentence functions (declarative, interrogative, exclamatory, and imperative. The experimental results show that Google machine translation system is better than Babylon machine translation system in terms of precision of translation from Arabic to English.

  13. Impact of corpus domain for sentiment classification: An evaluation study using supervised machine learning techniques

    Science.gov (United States)

    Karsi, Redouane; Zaim, Mounia; El Alami, Jamila

    2017-07-01

    Thanks to the development of the internet, a large community now has the possibility to communicate and express its opinions and preferences through multiple media such as blogs, forums, social networks and e-commerce sites. Today, it becomes clearer that opinions published on the web are a very valuable source for decision-making, so a rapidly growing field of research called “sentiment analysis” is born to address the problem of automatically determining the polarity (Positive, negative, neutral,…) of textual opinions. People expressing themselves in a particular domain often use specific domain language expressions, thus, building a classifier, which performs well in different domains is a challenging problem. The purpose of this paper is to evaluate the impact of domain for sentiment classification when using machine learning techniques. In our study three popular machine learning techniques: Support Vector Machines (SVM), Naive Bayes and K nearest neighbors(KNN) were applied on datasets collected from different domains. Experimental results show that Support Vector Machines outperforms other classifiers in all domains, since it achieved at least 74.75% accuracy with a standard deviation of 4,08.

  14. Design of the Continuous Casting Machine Secondary Cooling Water Automatic Control System%连铸机二冷水配水(气)自动控制系统设计

    Institute of Scientific and Technical Information of China (English)

    顾锋

    2011-01-01

    In the secondary cooling water automatic control system, the field analog values such as flow rate, pressure and temperature are measured by the PLC which is the kernel controller. Then the regulating value is tuned online continuously in real time according to the requirement of water or air. In addition, the system operation is monitored by the industrial computer online with all the operation data being recorded. The system runs successfully which comes to the anticipant design purpose.%二冷水自动化控制系统采用PLC为控制核心,对现场流量、压力、温度等模拟量进行检测,根据工艺配水(气)参量对调节阀进行连续的实时控制调整,通过工控机在线监控系统运行、记录运行数据.系统上线运行稳定,达到了设计目的.

  15. 基于禁忌搜索算法的可扩展有限状态机模型测试数据自动生成%Automatic generation of test data for extended finitestate machine models based on Tabu search algorithm

    Institute of Scientific and Technical Information of China (English)

    任君; 赵瑞莲; 李征

    2011-01-01

    Test case generation of EFSM (Extended Finite State Machine Models) includes test path generation and test data generation. However, nowadays most research into EFSM testing focuses on test path generation. In order to explore the automatic test generation, a test data generation method oriented to the path of EFSM models was proposed. A Tabu Search (TS) strategy was adopted to automatically generate test data, and the key factors that affect the performance of test data generation in EFSM models were analyzed. Moreover, the test generation efficiency was compared with that of Genetic Algorithm (GA). The experimental results show that the proposed method is promising and effective, and it is obviously superior to the GA in the test generation for EFSM models.%可扩展有限状态机( EFSM)模型的测试用例生成包括测试路径生成和测试数据生成两部分.然而,目前针对EFSM模型的测试研究大多集中于测试路径生成.为探索路径上测试数据的自动生成,提出一种面向EFSM路径的测试数据生成方法,利用禁忌搜索(TS)策略实现了EFSM测试数据的自动生成;分析了影响EFSM测试数据生成的关键因素,并与遗传算法(GA)的生成效率进行了比较.实验结果表明:基于TS算法的EFSM模型测试数据自动生成是确实可行的,其测试生成效率相对于GA有很大提高.

  16. Behind the machines

    CERN Document Server

    Laëtitia Pedroso

    2010-01-01

    One of the first things we think about when someone mentions physics is the machines. But behind the machines, there are the men and women who design, build and operate them. In an exhibition at the Thinktank planetarium’s art gallery in Birmingham (UK), Claudia Marcelloni and her husband Neal Hartman—she is a photographer and Outreach Officer for ATLAS, while he is an engineer working on the ATLAS pixel detector—explore the human side of scientists.   The exhibition at the Thinktank Planetarium art gallery, Birmingham (UK). It all began two years ago with the publication of Exploring the mystery of matter, a book about ATLAS. “A Norwegian physicist friend, Heidi Sandaker, saw my photographs and suggested that I display them in a museum. I thought this was an interesting idea, except that the photos consisted entirely of depictions of machinery, with human beings completely absent. For me, showing the people who are behind the machines and the fascination ...

  17. Evolution of the ATLAS Nightly Build System

    Science.gov (United States)

    Undrus, A.

    2012-12-01

    The ATLAS Nightly Build System is a major component in the ATLAS collaborative software organization, validation, and code approval scheme. For over 10 years of development it has evolved into a factory for automatic release production and grid distribution. The 50 multi-platform branches of ATLAS releases provide vast opportunities for testing new packages, verification of patches to existing software, and migration to new platforms and compilers for ATLAS code that currently contains 2200 packages with 4 million C++ and 1.4 million python scripting lines written by about 1000 developers. Recent development was focused on the integration of ATLAS Nightly Build and Installation systems. The nightly releases are distributed and validated and some are transformed into stable releases used for data processing worldwide. The ATLAS Nightly System is managed by the NICOS control tool on a computing farm with 50 powerful multiprocessor nodes. NICOS provides the fully automated framework for the release builds, testing, and creation of distribution kits. The ATN testing framework of the Nightly System runs unit and integration tests in parallel suites, fully utilizing the resources of multi-core machines, and provides the first results even before compilations complete. The NICOS error detection system is based on several techniques and classifies the compilation and test errors according to their severity. It is periodically tuned to place greater emphasis on certain software defects by highlighting the problems on NICOS web pages and sending automatic e-mail notifications to responsible developers. These and other recent developments will be presented and future plans will be described.

  18. 数控动梁龙门机床横梁水平自动调整装置%Dynamic Beam Gantry CNC Machine Tool Bar Level Automatic Adjustment Device

    Institute of Scientific and Technical Information of China (English)

    毛维顺; 邱玉良; 李文鑫

    2014-01-01

    In this paper , communication connection between the electronic level and CNC systems are used to monitor the level of the moving beam CNC machine tools . Through the beam stress deformation theory analysis and summary of serial port communication , electronic level and CNC system is proposed to try to conduct real-time continuous beam deformation monitoring , numerical control system based on data collected by data processing .%提出电子水平仪与数控系统之间的通讯连接用于监测动梁式数控机床的横梁水平,通过横梁受力变形理论分析与总结,提出电子水平仪与数控系统串口通讯,尝试对横梁进行实时连续的变形监测,数控系统根据采集的数据进行数据处理。

  19. Finding Difficult Speakers in Automatic Speaker Recognition

    OpenAIRE

    Stoll, Lara Lynn

    2011-01-01

    The task of automatic speaker recognition, wherein a system verifies or determines a speaker's identity using a sample of speech, has been studied for a few decades. In that time, a great deal of progress has been made in improving the accuracy of the system's decisions, through the use of more successful machine learning algorithms, and the application of channel compensation techniques and other methodologies aimed at addressing sources of errors such as noise or data mismatch. In general, ...

  20. Automatic Detection of Cyberbullying on Social Media

    OpenAIRE

    Engman, Love

    2016-01-01

    Bullying on social media is a dire problem for many youths, leading to severe health problems. In this thesis we describe the construction of a software prototype capable of automatically identifying bullying comments on the social media platform ASKfm using Natural Language Processing (NLP) and Machine Learning (ML) techniques. State of the art NLP and ML algorithms from previous research are studied and evaluated for the task of identifying bullying comments in a data set from ASKfm. The be...

  1. Using the TED Talks to Evaluate Spoken Post-editing of Machine Translation

    DEFF Research Database (Denmark)

    Liyanapathirana, Jeevanthi; Popescu-Belis, Andrei

    2016-01-01

    This paper presents a solution to evaluate spoken post-editing of imperfect machine translation output by a human translator. We compare two approaches to the combination of machine translation (MT) and automatic speech recognition (ASR): a heuristic algorithm and a machine learning method...

  2. Automatic Detection and Classification of Epileptic EEG Based on Detrended Fluctuation Analysis and Extreme Learning Machine%基于 EEG 去趋势波动分析和极限学习机的癫痫发作自动检测与分类识别

    Institute of Scientific and Technical Information of China (English)

    刘小峰; 张翔; 王雪

    2015-01-01

    Epilepsy is one of the most common neurological diseases.Automatic detection and accurate identification of epileptic seizure based on electroencephalogram ( EEG) plays an important role in the dia gnosis and treatment of epileptic seizures.In this paper, EEG signals were decomposed into a number of intrinsic mode functions ( IMFs) by empirical mode decomposition ( EMD) , and then the detrended fluc-tuation index, mean and standard deviation ( SD) of IMFs of lower scales were calculated.The three pa-rameters were combined into a feature vector and fed into an extreme learning machine ( ELM) classifier. The proposed method was validated on the EEG data sets from Bonn University and Boston Children's Hospital, involving healthy subjects and epileptics.Results show that the proposed method of automatic detection and rapid identification requires fewer training samples while achieving a higher recognition rate (≥95%),indicating that it is a promising tool for automatic detection and classification of epileptic sei-zures.%癫痫是一种常发的中枢神经失调疾病。基于脑电( EEG)的癫痫发作自动检测与准确识别在临床诊断和治疗上具有重要意义。本文首先采用经验模态分解(EMD)将被试者脑电信号分解成多个固有模态函数(IMF),然后计算低尺度IMF的去趋势波动指数、均值和标准差并组成特征向量,再由极限学习机( ELM)进行自动分类。经使用波恩大学和波士顿儿童医院的脑电数据集(含健康志愿者与癫痫患者)检测验证,结果表明本文所提出的自动检测与快速识别方法仅需较少训练样本即可达到较高的癫痫发作准确识别率(≥95%),具有较好临床应用价值。

  3. Simulating Turing machines on Maurer machines

    NARCIS (Netherlands)

    Bergstra, J.A.; Middelburg, C.A.

    2008-01-01

    In a previous paper, we used Maurer machines to model and analyse micro-architectures. In the current paper, we investigate the connections between Turing machines and Maurer machines with the purpose to gain an insight into computability issues relating to Maurer machines. We introduce ways to

  4. 精密微小型零件自动装配系统显微机器视觉的照明自动优化%Automatic Illumination of Microscopic Machine Vision Optimization for Precision Miniature Parts Automatic Assembly System

    Institute of Scientific and Technical Information of China (English)

    张习文; 王晓东; 罗怡; 滕霖; 陈亮

    2012-01-01

    In order to always obtain the optimal images of parts in the assembly process, the problem of automatic optimization of microscopic vision illumination intensity was investigated. To realize the illumination of parts edges and surface detail, the illumination automatic control system based on coaxial and ring light source was developed. The illumination optimize performance of four types of image quality evaluation function was compared and analyzed, the image quality evaluation methods based on Roberts gradient sum function was proposed and applied in developed assembly systems. The results show that the process of illumination optimization is fast and accurate, the contrast of the target edge is significantly enhanced and the parts recognition error is eliminated after illumination optimization. Moreover, the precision automatic assembly requirements of miniature parts can be met.%为了在微小型零件装配过程中始终获得质量最佳的零件图像,对显微视觉照明光强的自动优化问题进行了研究.为实现对零件的轮廓边缘与表面细节的照明,基于同轴光源与环形光源开发了照明自动控制系统.对比分析了四种图像质量评价函数的照明优化性能,提出了基于Roberts梯度和函数的图像质量评测方法,并应用于研制的装配系统.装配实验结果表明,光强优化过程快速准确,光强优化后目标边缘的对比度显著增强,消除了零件误识别现象,满足微小型零件高精度装配自动化的要求.

  5. Environmentally Friendly Machining

    CERN Document Server

    Dixit, U S; Davim, J Paulo

    2012-01-01

    Environment-Friendly Machining provides an in-depth overview of environmentally-friendly machining processes, covering numerous different types of machining in order to identify which practice is the most environmentally sustainable. The book discusses three systems at length: machining with minimal cutting fluid, air-cooled machining and dry machining. Also covered is a way to conserve energy during machining processes, along with useful data and detailed descriptions for developing and utilizing the most efficient modern machining tools. Researchers and engineers looking for sustainable machining solutions will find Environment-Friendly Machining to be a useful volume.

  6. 我国蔬菜育苗装备研究应用现状及发展对策%Situation and Strategy of Automatic Seedling Machine in China

    Institute of Scientific and Technical Information of China (English)

    于亚波; 伍萍辉; 冯青春; 王国华

    2017-01-01

    近年来,我国设施蔬菜育苗呈规模化发展,传统人工培育种苗已无法满足集约化高效育苗的发展需要,开发和应用工厂化育苗成套设备极大地促进了我国蔬菜育苗产业的可持续性发展。为此,在对我国设施育苗发展规模和机械化作业需求进行概述的基础上,重点针对育苗生产中播种、嫁接、秧苗筛选、基质处理及穴盘清洗等劳动密集环节的机械装备的研究和应用状况进行介绍,通过比较现存相关产品的工作原理、作业性能和适用范围,分析不同产品和技术的发展趋势。同时,从我国设施育苗发展现状、现存技术难点及经济效益3个方面,总结了当前机械化育苗设备在实际使用中遇到的客观问题,最后从农艺生产标准化、政策支持、示范宣传及技术攻关等不同角度,提出了促进我国机械化育苗设备推广应用的对策。%In view of the scale development of factory seedling-nursery for vegetable in China these years , the traditional production by human could not satisfy the intensive seedling mode , which was gradually expanding .So research and ap-plication of the key seedling facilities was expected to promote the sustainable development of this industry .In this paper , the vegetable seedling industry scale and the objective requirement for the seedling machine was described , and a serial of existing machines for the labour-intensive parts of seedling were introduced , such as seeding , grafting, seedling sor-ting , substrate processing and tray washing .Trough compering their working principle , performance and applicable con-dition ,the development trend was analyzed .Problems in the actual production ,caused from the poor industry status , exist-ing technical difficulties and limited economic benefit , were summarized .Finally , the strategies were proposed , which were supposed to change the present situation .

  7. Controlling a Rehabilitation Robot with Brain-Machine Interface: An approach based on Independent Component Analysis and Multiple Kernel Learning

    Directory of Open Access Journals (Sweden)

    Yi-Hung Liu

    2013-03-01

    Full Text Available Patients suffering from severe motor disabilities usually require assistance from other people when doing rehabilitation exercises, which causes the rehabilitation process to be time-consuming and inconvenient. Therefore, we propose an automatic feature extraction method for a brain-machine interface that allows patients to control a robot using their own brain waves. A brain–machine interface (BMI based on the P300 event-related potential (ERP, called Brain Controlled Rehabilitation System (BCRS, was developed to detect the intentions of patients. Using the BCRS, patients can communicate with the robot through their brain waves. However, deciding how to obtain an automatically extracted, useful EEG signal is a difficult and important problem for BMI research. In this paper, Independent Component Analysis – Multiple Kernel Learning (ICA-MKL is used to directly extract a useful signal and build the classification mode for BCRS. The results reveal that this method is useful for automatically extracting the P300 signal and the accuracy is better than MKL. In additional, the same method can be extended into any motor imaginary area and the accuracy of ICA-MKL for brain imaginary data is also good to removing eye-blink artifacts and the accuracy performance is also good.

  8. Automatic incrementalization of Prolog based static analyses

    DEFF Research Database (Denmark)

    Eichberg, Michael; Kahl, Matthias; Saha, Diptikalyan;

    2007-01-01

    Modem development environments integrate various static analyses into the build process. Analyses that analyze the whole project whenever the project changes are impractical in this context. We present an approach to automatic incrementalization of analyses that are specified as tabled logic prog...

  9. Machine Transliteration

    CERN Document Server

    Knight, K; Knight, Kevin; Graehl, Jonathan

    1997-01-01

    It is challenging to translate names and technical terms across languages with different alphabets and sound inventories. These items are commonly transliterated, i.e., replaced with approximate phonetic equivalents. For example, "computer" in English comes out as "konpyuutaa" in Japanese. Translating such items from Japanese back to English is even more challenging, and of practical interest, as transliterated items make up the bulk of text phrases not found in bilingual dictionaries. We describe and evaluate a method for performing backwards transliterations by machine. This method uses a generative model, incorporating several distinct stages in the transliteration process.

  10. Oocytes Polar Body Detection for Automatic Enucleation

    Directory of Open Access Journals (Sweden)

    Di Chen

    2016-02-01

    Full Text Available Enucleation is a crucial step in cloning. In order to achieve automatic blind enucleation, we should detect the polar body of the oocyte automatically. The conventional polar body detection approaches have low success rate or low efficiency. We propose a polar body detection method based on machine learning in this paper. On one hand, the improved Histogram of Oriented Gradient (HOG algorithm is employed to extract features of polar body images, which will increase success rate. On the other hand, a position prediction method is put forward to narrow the search range of polar body, which will improve efficiency. Experiment results show that the success rate is 96% for various types of polar bodies. Furthermore, the method is applied to an enucleation experiment and improves the degree of automatic enucleation.

  11. Vane Pump Casing Machining of Dumpling Machine Based on CAD/CAM

    Science.gov (United States)

    Huang, Yusen; Li, Shilong; Li, Chengcheng; Yang, Zhen

    Automatic dumpling forming machine is also called dumpling machine, which makes dumplings through mechanical motions. This paper adopts the stuffing delivery mechanism featuring the improved and specially-designed vane pump casing, which can contribute to the formation of dumplings. Its 3D modeling in Pro/E software, machining process planning, milling path optimization, simulation based on UG and compiling post program were introduced and verified. The results indicated that adoption of CAD/CAM offers firms the potential to pursue new innovative strategies.

  12. Automatic Parameters Selection for SVM Based on PSO

    Institute of Scientific and Technical Information of China (English)

    ZHANG Mingfeng; ZHU Yinghua; ZHENG Xu; LIU Yu

    2007-01-01

    Motivated by the fact that automatic parameters selection for Support Vector Machine (SVM) is an important issue to make SVM practically useful and the common used Leave-One-Out (LOO) method is complex calculation and time consuming,an effective strategy for automatic parameters selection for SVM is proposed by using the Particle Swarm Optimization (PSO) in this paper.Simulation results of practice data model demonstrate the effectiveness and high efficiency of the proposed approach.

  13. Building Artificial Vision Systems with Machine Learning

    Energy Technology Data Exchange (ETDEWEB)

    LeCun, Yann [New York University

    2011-02-23

    Three questions pose the next challenge for Artificial Intelligence (AI), robotics, and neuroscience. How do we learn perception (e.g. vision)? How do we learn representations of the perceptual world? How do we learn visual categories from just a few examples?

  14. Machine Protection

    CERN Document Server

    Schmidt, R

    2014-01-01

    The protection of accelerator equipment is as old as accelerator technology and was for many years related to high-power equipment. Examples are the protection of powering equipment from overheating (magnets, power converters, high-current cables), of superconducting magnets from damage after a quench and of klystrons. The protection of equipment from beam accidents is more recent. It is related to the increasing beam power of high-power proton accelerators such as ISIS, SNS, ESS and the PSI cyclotron, to the emission of synchrotron light by electron–positron accelerators and FELs, and to the increase of energy stored in the beam (in particular for hadron colliders such as LHC). Designing a machine protection system requires an excellent understanding of accelerator physics and operation to anticipate possible failures that could lead to damage. Machine protection includes beam and equipment monitoring, a system to safely stop beam operation (e.g. dumping the beam or stopping the beam at low energy) and an ...

  15. Machine learning a probabilistic perspective

    CERN Document Server

    Murphy, Kevin P

    2012-01-01

    Today's Web-enabled deluge of electronic data calls for automated methods of data analysis. Machine learning provides these, developing methods that can automatically detect patterns in data and then use the uncovered patterns to predict future data. This textbook offers a comprehensive and self-contained introduction to the field of machine learning, based on a unified, probabilistic approach. The coverage combines breadth and depth, offering necessary background material on such topics as probability, optimization, and linear algebra as well as discussion of recent developments in the field, including conditional random fields, L1 regularization, and deep learning. The book is written in an informal, accessible style, complete with pseudo-code for the most important algorithms. All topics are copiously illustrated with color images and worked examples drawn from such application domains as biology, text processing, computer vision, and robotics. Rather than providing a cookbook of different heuristic method...

  16. Analysis of machining and machine tools

    CERN Document Server

    Liang, Steven Y

    2016-01-01

    This book delivers the fundamental science and mechanics of machining and machine tools by presenting systematic and quantitative knowledge in the form of process mechanics and physics. It gives readers a solid command of machining science and engineering, and familiarizes them with the geometry and functionality requirements of creating parts and components in today’s markets. The authors address traditional machining topics, such as: single and multiple point cutting processes grinding components accuracy and metrology shear stress in cutting cutting temperature and analysis chatter They also address non-traditional machining, such as: electrical discharge machining electrochemical machining laser and electron beam machining A chapter on biomedical machining is also included. This book is appropriate for advanced undergraduate and graduate mechani cal engineering students, manufacturing engineers, and researchers. Each chapter contains examples, exercises and their solutions, and homework problems that re...

  17. Machine learning for evolution strategies

    CERN Document Server

    Kramer, Oliver

    2016-01-01

    This book introduces numerous algorithmic hybridizations between both worlds that show how machine learning can improve and support evolution strategies. The set of methods comprises covariance matrix estimation, meta-modeling of fitness and constraint functions, dimensionality reduction for search and visualization of high-dimensional optimization processes, and clustering-based niching. After giving an introduction to evolution strategies and machine learning, the book builds the bridge between both worlds with an algorithmic and experimental perspective. Experiments mostly employ a (1+1)-ES and are implemented in Python using the machine learning library scikit-learn. The examples are conducted on typical benchmark problems illustrating algorithmic concepts and their experimental behavior. The book closes with a discussion of related lines of research.

  18. Modelagem e análise de um sistema de controle automático da altura de corte em colhedoras Modeling and analysis of an automatic control system for harvesting machine cutting height

    Directory of Open Access Journals (Sweden)

    Leidy Z. L. Rafull

    2006-09-01

    Full Text Available Neste estudo, desenvolveu-se um modelo de simulação para analisar a dinâmica de um sistema a fim de controlar automaticamente a altura de corte em colhedoras. Este modelo foi implementado com base nas equações diferenciais, que descrevem a dinâmica da plataforma de corte, o comportamento do sistema hidráulico e o controlador. O sistema de controle realimentado simulado foi constituído de uma célula de carga, destinada a medir a força de contato entre o solo e o mecanismo de corte, um controlador PID e um sistema hidráulico de atuação, composto de uma válvula proporcional direcional de quatro vias e um atuador. Analisou-se a influência da velocidade de deslocamento da máquina (1,0, 1,5 e 2,0 m s-1, da pressão de suprimento do sistema hidráulico (6,8, 13,7 e 20,6 MPa, da massa da plataforma (40, 60 e 80 kg e da força de contato de referência do controlador (200, 400 e 800 N no desempenho do sistema de controle. Os aumentos na pressão de suprimento, massa da plataforma e força de referência, proporcionaram melhores condições para o funcionamento do sistema de controle proposto.A simulation model to analyze the dynamics of a system to control automatically the cutting height in harvesters was developed. The model was developed using the differential equations that describe the dynamics of the cuttig platform, the behavior of the hydraulic system and the controller. The simulated feedback control system was composed by a load cell that measures the contact force between the soil and the cutting device, a feedback controller (PID and a hydraulic system with proportional directional four-way valve and actuator. The effect of the following variables in the controller performance was analyzed: speed of the cutting device (1.0, 1.5 and 2.0 m s-1; pressure in the supply line of the hydraulic system (6.8, 13.7 and 20.6 MPa; ballast added in the cutting mechanism (40, 60 and 80 kg and the contact force between the cutting device and

  19. Automatic Network Reconstruction using ASP

    CERN Document Server

    Ostrowski, Max; Durzinsky, Markus; Marwan, Wolfgang; Wagler, Annegret

    2011-01-01

    Building biological models by inferring functional dependencies from experimental data is an im- portant issue in Molecular Biology. To relieve the biologist from this traditionally manual process, various approaches have been proposed to increase the degree of automation. However, available ap- proaches often yield a single model only, rely on specific assumptions, and/or use dedicated, heuris- tic algorithms that are intolerant to changing circumstances or requirements in the view of the rapid progress made in Biotechnology. Our aim is to provide a declarative solution to the problem by ap- peal to Answer Set Programming (ASP) overcoming these difficulties. We build upon an existing approach to Automatic Network Reconstruction proposed by part of the authors. This approach has firm mathematical foundations and is well suited for ASP due to its combinatorial flavor providing a characterization of all models explaining a set of experiments. The usage of ASP has several ben- efits over the existing heuristic a...

  20. Automatic orientation correction for radiographs

    Science.gov (United States)

    Luo, Hui; Luo, Jiebo; Wang, Xiaohui

    2006-03-01

    In picture archiving and communications systems (PACS), images need to be displayed in standardized ways for radiologists' interpretations. However, for most radiographs acquired by computed radiography (CR), digital radiography (DR), or digitized films, the image orientation is undetermined because of the variation of examination conditions and patient situations. To address this problem, an automatic orientation correction method is presented. It first detects the most indicative region for orientation in a radiograph, and then extracts a set of low-level visual features sensitive to rotation from the region. Based on these features, a trained classifier based on a support vector machine is employed to recognize the correct orientation of the radiograph and reorient it to a desired position. A large-scale experiment has been conducted on more than 12,000 radiographs covering a large variety of body parts and projections to validate the method. The overall performance is quite promising, with the success rate of orientation correction reaching 95.2%.