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Sample records for automatic vending machine

  1. ENERGY STAR Certified Vending Machines

    Data.gov (United States)

    U.S. Environmental Protection Agency — Certified models meet all ENERGY STAR requirements as listed in the Version 3.0 ENERGY STAR Program Requirements for Refrigerated Beverage Vending Machines that are...

  2. 34 CFR 395.32 - Collection and distribution of vending machine income from vending machines on Federal property.

    Science.gov (United States)

    2010-07-01

    ... 34 Education 2 2010-07-01 2010-07-01 false Collection and distribution of vending machine income... Management § 395.32 Collection and distribution of vending machine income from vending machines on Federal... for, vending machine income from vending machines on Federal property under his control and...

  3. Present status and prospects for vending machines; Jido hanbaiki no genjo to tenbo

    Energy Technology Data Exchange (ETDEWEB)

    Hirano, Y. [Fuji Denki Reiki Co. Ltd., Tokyo (Japan); Ota, T.; Iwamoto, S. [Fuji Electric Co. Ltd., Tokyo (Japan)

    1999-08-10

    The number of automatic vending and service machines installed in Japan at the end of 1998 is about 5.5 million. The number of units per head exceeds that of USA, a pioneer in vending machines. They are now playing an indispensable role in daily living. Recent needs of vending machines have increased in social requests or problems, such as (1) strengthening of crime prevention, (2) consideration of global ecology and (3) prevention of minors from using alcoholic drinks vending machines. This paper describes the current state of marketing and future prospects for vending machines. (author)

  4. Vending machine assessment methodology. A systematic review.

    Science.gov (United States)

    Matthews, Melissa A; Horacek, Tanya M

    2015-07-01

    The nutritional quality of food and beverage products sold in vending machines has been implicated as a contributing factor to the development of an obesogenic food environment. How comprehensive, reliable, and valid are the current assessment tools for vending machines to support or refute these claims? A systematic review was conducted to summarize, compare, and evaluate the current methodologies and available tools for vending machine assessment. A total of 24 relevant research studies published between 1981 and 2013 met inclusion criteria for this review. The methodological variables reviewed in this study include assessment tool type, study location, machine accessibility, product availability, healthfulness criteria, portion size, price, product promotion, and quality of scientific practice. There were wide variations in the depth of the assessment methodologies and product healthfulness criteria utilized among the reviewed studies. Of the reviewed studies, 39% evaluated machine accessibility, 91% evaluated product availability, 96% established healthfulness criteria, 70% evaluated portion size, 48% evaluated price, 52% evaluated product promotion, and 22% evaluated the quality of scientific practice. Of all reviewed articles, 87% reached conclusions that provided insight into the healthfulness of vended products and/or vending environment. Product healthfulness criteria and complexity for snack and beverage products was also found to be variable between the reviewed studies. These findings make it difficult to compare results between studies. A universal, valid, and reliable vending machine assessment tool that is comprehensive yet user-friendly is recommended.

  5. Change-Exchange Currency based Vending Machine using VHDL

    Directory of Open Access Journals (Sweden)

    Nikita Khandelwal

    2013-01-01

    Full Text Available A vending machine is a coin-operated, automatic device which dispenses items such as snacks, beverages, lottery tickets, consumer products and even gold and gems to customers automatically, after the customer inserts currency or credit into the machine. These are more accessible and practical than the convention purchasing method. It is for the reason that vending machines provide us for our necessities almost instantly and with high quality, that people consider it as a very much reliable choice. In this paper a new approach is proposed to design a Vending Machine with automatic currency change or exchange multi select feature using which user can get a change of its currency or can exchange its currency to other available currency options. The machine also supports a cancel feature which means that the user can withdraw the request and the money will be returned back to him. This machine can be used at various places like Hotels, Restaurants, Stations and shopping centers. This reduces the time and cost. The proposed model is implemented using FPGA, the simulation results and circuit parameters are also presented.

  6. A Mixed Message: The School Vending Machine.

    Science.gov (United States)

    Hinkle, Margaret Murray

    1982-01-01

    Dental disease, especially tooth decay, is reaching epidemic proportions among children of school age. Since sugar is a major cause of tooth decay and since many confections are sold in schools, it is recommended that schools remove confections and other nonnutritional food items from vending machines, fund-raising activities, and food services.…

  7. Vending Machines: A Narrative Review of Factors Influencing Items Purchased.

    Science.gov (United States)

    Hua, Sophia V; Ickovics, Jeannette R

    2016-10-01

    Vending machines are a ubiquitous part of our food environments. Unfortunately, items found in vending machines tend to be processed foods and beverages high in salt, sugar, and/or fat. The purpose of this review is to describe intervention and case studies designed to promote healthier vending purchases by consumers and identify which manipulations are most effective. All studies analyzed were intervention or case studies that manipulated vending machines and analyzed sales or revenue data. This literature review is limited to studies conducted in the United States within the past 2 decades (ie, 1994 to 2015), regardless of study population or setting. Ten articles met these criteria based on a search conducted using PubMed. Study manipulations included price changes, increase in healthier items, changes to the advertisements wrapped around vending machines, and promotional signs such as a stoplight system to indicate healthfulness of items and to remind consumers to make healthy choices. Overall, seven studies had manipulations that resulted in statistically significant positive changes in purchasing behavior. Two studies used manipulations that did not influence consumer behavior, and one study was equivocal. Although there was no intervention pattern that ensured changes in purchasing, price reductions were most effective overall. Revenue from vending sales did not change substantially regardless of intervention, which will be important to foster initiation and sustainability of healthier vending. Future research should identify price changes that would balance healthier choices and revenue as well as better marketing to promote purchase of healthier items. Copyright © 2016 Academy of Nutrition and Dietetics. Published by Elsevier Inc. All rights reserved.

  8. 34 CFR 395.8 - Distribution and use of income from vending machines on Federal property.

    Science.gov (United States)

    2010-07-01

    ... 34 Education 2 2010-07-01 2010-07-01 false Distribution and use of income from vending machines on... PROGRAM FOR THE BLIND ON FEDERAL AND OTHER PROPERTY The State Licensing Agency § 395.8 Distribution and use of income from vending machines on Federal property. (a) Vending machine income from...

  9. On Cascade Source Coding with A Side Information "Vending Machine"

    CERN Document Server

    Ahmadi, Behzad; Choudhuri, Chiranjib; Mitra, Urbashi

    2012-01-01

    The model of a side information "vending machine" accounts for scenarios in which acquiring side information is costly and thus should be done efficiently. In this paper, the three-node cascade source coding problem is studied under the assumption that a side information vending machine is available either at the intermediate or at the end node. In both cases, a single-letter characterization of the available trade-offs among the rate, the distortions in the reconstructions at the intermediate and at the end node, and the cost in acquiring the side information are derived under given conditions.

  10. Availability of Vending Machines and School Stores in California Schools

    Science.gov (United States)

    Cisse-Egbuonye, Nafissatou; Liles, Sandy; Schmitz, Katharine E.; Kassem, Nada; Irvin, Veronica L.; Hovell, Melbourne F.

    2016-01-01

    Background: This study examined the availability of foods sold in vending machines and school stores in United States public and private schools, and associations of availability with students' food purchases and consumption. Methods: Descriptive analyses, chi-square tests, and Spearman product-moment correlations were conducted on data collected…

  11. Hygienic and other aspects of raw milk vending machines

    OpenAIRE

    DANIEL, Radovan

    2011-01-01

    The aim of this work was to evaluate opportunities of raw milk sales. The questionnaire was submitted to respondents, which assessed the direct sale of milk, consumption, awareness about milk quality connecting with the sales of raw milk using a vending machines.

  12. Determining the Feasibility of Milk Vending Machines to Improve Calcium Intake Among College Students

    Directory of Open Access Journals (Sweden)

    Laura E. Monnat

    2014-10-01

    Full Text Available Calcium intake declines from late adolescence to young adulthood, in part, due to decreases in accessibility to milk and dairy products. While milk vending has shown demonstrated success in secondary schools, no studies have examined whether milk vending improves calcium intake among college students. We hypothesized that milk and calcium intake would be higher among college students given access to milk vending in their dormitory (milk vending consumers compared to those lacking access in their dormitory (non-milk vending consumers. Milk vending machines were installed in two dormitories, and two dormitories having non-milk beverage vending served as comparison sites. Students completed a calcium intake questionnaire at the point of milk (n = 73 or non-milk (n = 79 beverage vending purchases. Mean total calcium intake was higher in milk vending consumers (1245 + 543 mg/d compared to non-milk vending consumers (1042 + 447 mg/d (p = 0.01. Adjusting for gender and milk vending consumer status, there was a positive association between past month milk vending purchases and daily calcium intake from milk (p < 0.001. Fifty-seven students without in-dormitory access to milk vending reported an interest in milk vending if made available. Milk vending may serve as a novel approach for improving calcium intake in college students.

  13. Finite State Machine based Vending Machine Controller with Auto-Billing Features

    OpenAIRE

    2012-01-01

    Nowadays, Vending Machines are well known among Japan, Malaysia and Singapore. The quantity of machines in these countries is on the top worldwide. This is due to the modern lifestyles which require fast food processing with high quality. This paper describes the designing of multi select machine using Finite State Machine Model with Auto-Billing Features. Finite State Machine (FSM) modelling is the most crucial part in developing proposed model as this reduces the hardware. In this paper th...

  14. Impact of the HEALTHY Study on Vending Machine Offerings in Middle Schools

    Science.gov (United States)

    Hartstein, Jill; Cullen, Karen W.; Virus, Amy; El Ghormli, Laure; Volpe, Stella L.; Staten, Myrlene A.; Bridgman, Jessica C.; Stadler, Diane D.; Gillis, Bonnie; McCormick, Sarah B.; Mobley, Connie C.

    2011-01-01

    Purpose/Objectives: The purpose of this study is to report the impact of the three-year middle school-based HEALTHY study on intervention school vending machine offerings. There were two goals for the vending machines: serve only dessert/snack foods with 200 kilocalories or less per single serving package, and eliminate 100% fruit juice and…

  15. `Indoor` series vending machines; `Indoor` series jido hanbaiki

    Energy Technology Data Exchange (ETDEWEB)

    Gensui, T.; Kida, A. [Fuji Electric Co. Ltd., Tokyo (Japan); Okumura, H. [Fuji Denki Reiki Co. Ltd., Tokyo (Japan)

    1996-07-10

    This paper introduces three series of vending machines that were designed to match the interior of an office building. The three series are vending machines for cups, paper packs, cans, and tobacco. Among the three series, `Interior` series has a symmetric design that was coated in a grain pattern. The inside of the `Interior` series is coated by laser satin to ensure a sense of superior quality and a refined style. The push-button used for product selection is hot-stamped on the plastic surface to ensure the hair-line luster. `Interior Phase II` series has a bay window design with a sense of superior quality and lightness. The inside of the `Interior Phase II` series is coated by laser satin. `Interior 21` series is integrated with the wall except the sales operation panel. The upper and lower dress panels can be detached and attached. The door lock is a wire-type structure with high operativity. The operation block is coated by titanium color. The dimensions of three series are standardized. 6 figs., 1 tab.

  16. Study of acrylamide level in food from vending machines

    Directory of Open Access Journals (Sweden)

    Naceur Haouet

    2016-11-01

    Full Text Available Acrylamide is a by-product of the Maillard reaction and is potentially carcinogenic to humans. It is found in a number of foods with higher concentrations in carbohydrate-rich foods and moderate levels of protein-rich foods such as meat, fish and seafood. Acrylamide levels in food distributed in vending machines placed in public areas of the city of Perugia were analysed by high-performance liquid chromatography. Samples included five different categories, depending on the characteristics of the products: i potato chips; ii salted bakery products; iii biscuits and wafers; iv sweet bakery products; v sandwiches. A high variability in acrylamide level among different foods and within the same category was detected. Potato chips showed the highest amount of acrylamide (1781±637 μg/kg followed by salted bakery products (211±245 μg/kg, biscuits and wafers (184±254 μg/kg, sweet bakery products (100±72 μg/kg and sandwiches (42±10 μg/kg. In the potato chips and sandwiches categories, all of the samples revealed the presence of acrylamide, while different prevalence was registered in the other foods considered. The data of this study highlight the presence of acrylamide in different foods sold in vending machines and this data could be useful to understand the contribution of this type of consumption to human exposure to this compound.

  17. Design and Application on Auto-vending Machine for Cupped Beverage

    Directory of Open Access Journals (Sweden)

    Xiaowei Jiang

    2014-12-01

    Full Text Available The purpose of this study is to design an auto-vending machine for cupped beverage, specifically studying its shape design and color design. The article elaborates that the shape design of this auto-vending machine for cupped beverage should follow the art rule of variation and unity and meanwhile the whole shape still should be simple and direct; the color design of the auto-vending machine for cupped beverage not only should satisfy the request of man-machine coordination and environment and function, but also should value the choice of tone, match the new age request of appreciation beauty and notice novelty. And then the working principle and working process of the auto-vending machine for cupped beverage is introduced, based on which the conclusion has been reached.

  18. Finite State Machine based Vending Machine Controller with Auto-Billing Features

    Directory of Open Access Journals (Sweden)

    Ana Monga

    2012-04-01

    Full Text Available Nowadays, Vending Machines are well known among Japan, Malaysia and Singapore. The quantity of machines in these countries is on the top worldwide. This is due to the modern lifestyles which require fast food processing with high quality. This paper describes the designing of multi select machine using Finite State Machine Model with Auto-Billing Features. Finite State Machine (FSM modelling is the most crucial part in developing proposed model as this reduces the hardware. In this paper the process of four state (user Selection, Waiting for money insertion, product delivery and servicing has been modelled using MEALY Machine Model. The proposed model is tested using Spartan 3 development board and its performance is compared with CMOS based machine.

  19. Finite State Machine based Vending Machine Controller with Auto-Billing Features

    Directory of Open Access Journals (Sweden)

    Balwinder Singh

    2012-05-01

    Full Text Available Nowadays, Vending Machines are well known among Japan, Malaysia and Singapore. The quantity of machines in these countries is on the top worldwide. This is due to the modern lifestyles which require fast food processing with high quality. This paper describes the designing of multi select machine using Finite State Machine Model with Auto-Billing Features. Finite State Machine (FSM modelling is the most crucial part in developing proposed model as this reduces the hardware. In this paper the process of four state (user Selection, Waiting for money insertion, product delivery and servicing has been modelled using MEALY Machine Model. The proposed model is tested using Spartan 3 development board and its performance is compared with CMOS based machine.

  20. Finite State Machine based Vending Machine Controller with Auto-Billing Features

    CERN Document Server

    Monga, Ana; 10.5121/vlsic.2012.3202

    2012-01-01

    Nowadays, Vending Machines are well known among Japan, Malaysia and Singapore. The quantity of machines in these countries is on the top worldwide. This is due to the modern lifestyles which require fast food processing with high quality. This paper describes the designing of multi select machine using Finite State Machine Model with Auto-Billing Features. Finite State Machine (FSM) modelling is the most crucial part in developing proposed model as this reduces the hardware. In this paper the process of four state (user Selection, Waiting for money insertion, product delivery and servicing) has been modelled using MEALY Machine Model. The proposed model is tested using Spartan 3 development board and its performance is compared with CMOS based machine.

  1. Drinking Water Quality of Water Vending Machines in Parit Raja, Batu Pahat, Johor

    Science.gov (United States)

    Hashim, N. H.; Yusop, H. M.

    2016-07-01

    An increased in demand from the consumer due to their perceptions on tap water quality is identified as one of the major factor on why they are mentally prepared to pay for the price of the better quality drinking water. The thought that filtered water quality including that are commercially available in the market such as mineral and bottled drinking water and from the drinking water vending machine makes they highly confident on the level of hygiene, safety and the mineral content of this type of drinking water. This study was investigated the vended water quality from the drinking water vending machine in eight locations in Parit Raja are in terms of pH, total dissolve solids (TDS), turbidity, mineral content (chromium, arsenic, cadmium, lead and nickel), total organic carbon (TOC), pH, total colony-forming units (CFU) and total coliform. All experiments were conducted in one month duration in triplicate samples for each sampling event. The results indicated the TDS and all heavy metals in eight vended water machines in Parit Raja area were found to be below the Food Act 1983, Regulation 360C (Standard for Packaged Drinking Water and Vended water, 2012) and Malaysian Drinking Water Quality, Ministry of Health 1983. No coliform was presence in any of the vended water samples. pH was found to be slightly excess the limit provided while turbidity was found to be 45 to 95 times more higher than 0.1 NTU as required by the Malaysian Food Act Regulation. The data obtained in this study would suggest the important of routine maintenance and inspection of vended water provider in order to maintain a good quality, hygienic and safety level of vended water.

  2. Students' perspectives on promoting healthful food choices from campus vending machines: a qualitative interview study.

    Science.gov (United States)

    Ali, Habiba I; Jarrar, Amjad H; Abo-El-Enen, Mostafa; Al Shamsi, Mariam; Al Ashqar, Huda

    2015-05-28

    Increasing the healthfulness of campus food environments is an important step in promoting healthful food choices among college students. This study explored university students' suggestions on promoting healthful food choices from campus vending machines. It also examined factors influencing students' food choices from vending machines. Peer-led semi-structured individual interviews were conducted with 43 undergraduate students (33 females and 10 males) recruited from students enrolled in an introductory nutrition course in a large national university in the United Arab Emirates. Interviews were audiotaped, transcribed, and coded to generate themes using N-Vivo software. Accessibility, peer influence, and busy schedules were the main factors influencing students' food choices from campus vending machines. Participants expressed the need to improve the nutritional quality of the food items sold in the campus vending machines. Recommendations for students' nutrition educational activities included placing nutrition tips on or beside the vending machines and using active learning methods, such as competitions on nutrition knowledge. The results of this study have useful applications in improving the campus food environment and nutrition education opportunities at the university to assist students in making healthful food choices.

  3. Laboratory Test of Vending Machine with Advanced Defrosting Technology and Integrated Accumulatory/Expander Concept

    Energy Technology Data Exchange (ETDEWEB)

    Bryne, M E; Domitrovic, R E; Mei, V C; Chen, F C; Fransson, J H.M.

    2000-10-01

    The manufacturer delivered an off-the-shelf soft drink vending machine for testing to ORNL. The machine was tested for baseline performance and it was found that the cold air passage was not properly designed. An inadequate cold air supply to the product resulted in recirculation of the evaporator air and heavy frost accumulation on the evaporator coil.

  4. Promoting the purchase of low-calorie foods from school vending machines: A cluster-randomized controlled study

    NARCIS (Netherlands)

    Kocken, P.L.; Eeuwijk, J.; Kesten, N.M.C. van; Dusseldorp, E.; Buijs, G.; Bassa-Dafesh, Z.; Snel, J.

    2012-01-01

    BACKGROUND: Vending machines account for food sales and revenue in schools. We examined 3 strategies for promoting the sale of lower-calorie food products from vending machines in high schools in the Netherlands. METHODS: A school-based randomized controlled trial was conducted in 13 experimental

  5. Promoting the Purchase of Low-Calorie Foods from School Vending Machines: A Cluster-Randomized Controlled Study

    Science.gov (United States)

    Kocken, Paul L.; Eeuwijk, Jennifer; van Kesteren, Nicole M.C.; Dusseldorp, Elise; Buijs, Goof; Bassa-Dafesh, Zeina; Snel, Jeltje

    2012-01-01

    Background: Vending machines account for food sales and revenue in schools. We examined 3 strategies for promoting the sale of lower-calorie food products from vending machines in high schools in the Netherlands. Methods: A school-based randomized controlled trial was conducted in 13 experimental schools and 15 control schools. Three strategies…

  6. A heuristic for the inventory management of smart vending machine systems

    Directory of Open Access Journals (Sweden)

    Yang-Byung Park

    2012-12-01

    Full Text Available Purpose: The purpose of this paper is to propose a heuristic for the inventory management of smart vending machine systems with product substitution under the replenishment point, order-up-to level policy and to evaluate its performance.Design/methodology/approach: The heuristic is developed on the basis of the decoupled approach. An integer linear mathematical model is built to determine the number of product storage compartments and replenishment threshold for each smart vending machine in the system and the Clarke and Wright’s savings algorithm is applied to route vehicles for inventory replenishments of smart vending machines that share the same delivery days. Computational experiments are conducted on several small-size test problems to compare the proposed heuristic with the integrated optimization mathematical model with respect to system profit. Furthermore, a sensitivity analysis is carried out on a medium-size test problem to evaluate the effect of the customer service level on system profit using a computer simulation.Findings: The results show that the proposed heuristic yielded pretty good solutions with 5.7% error rate on average compared to the optimal solutions. The proposed heuristic took about 3 CPU minutes on average in the test problems being consisted of 10 five-product smart vending machines. It was confirmed that the system profit is significantly affected by the customer service level.Originality/value: The inventory management of smart vending machine systems is newly treated. Product substitutions are explicitly considered in the model. The proposed heuristic is effective as well as efficient. It can be easily modified for application to various retail vending settings under a vendor-managed inventory scheme with POS system.

  7. 76 FR 19237 - Food Labeling; Calorie Labeling of Articles of Food in Vending Machines

    Science.gov (United States)

    2011-04-06

    ... from vending machines. The Affordable Care Act, in part, amended the Federal Food, Drug and Cosmetic... that does not permit a prospective purchaser to examine the Nutrition Facts Panel before purchasing the article, or does not otherwise provide visible nutrition information at the point of purchase, and...

  8. Council-supported condom vending machines: are they acceptable to rural communities?

    Science.gov (United States)

    Tomnay, Jane E; Hatch, Beth

    2013-11-01

    Twenty-four hour access to condoms for young people living in rural Victoria is problematic for many reasons, including the fact that condom vending machines are often located in venues and places they cannot access. We partnered with three rural councils to install condom vending machines in locations that provided improved access to condoms for local young people. Councils regularly checked the machines, refilled the condoms and retrieved the money. They also managed the maintenance of the machine and provided monthly data. In total, 1153 condoms were purchased over 12 months, with 924 (80%) obtained from male toilets and 69% (801 out of 1153) purchased in the second half of the study. Revenue of $2626.10 (AUD) was generated and no negative feedback from residents was received by any council nor was there any negative reporting by local media. Vandalism, tampering or damage occurred at all sites; however, only two significant episodes of damage required a machine to be sent away for repairs. Condom vending machines installed in rural towns in north-east Victoria are accessible to young people after business hours, are cost-effective for councils and have not generated any complaints from residents. The machines have not suffered unrepairable damage and were used more frequently as the study progressed.

  9. Research on Design Method of Intelligent Vending Machine for Cupped Beverage

    Directory of Open Access Journals (Sweden)

    Xiaowei Jiang

    2014-09-01

    Full Text Available The purpose of this study is to design an intelligent vending machine for cupped beverage, specifically researching its humanized design, shape design, color design and the main mechanism design including the beverage powder transporting mechanism, paper cups detaching mechanism and paper cups slide mechanism. The study elaborates that the design of beverage powder transporting mechanism is mainly the selection of electromagnet and the determination of electromagnet stroke, requiring that the electromagnet stroke and the maximum weight that the electromagnet could bear should have rationality, to ensure its safe operation; the design of paper cups detaching mechanism mainly includes selecting electric motor and V belt; the design of paper cups slide mechanism mainly presents the design of slide structure. And then the design of control modules of the intelligent vending machine for cupped beverage is introduced, based on which the conclusion has been reached.

  10. Design and Research on Auto-vending Machine for Cupped Beverage

    Directory of Open Access Journals (Sweden)

    Xiaowei Jiang

    2014-12-01

    Full Text Available The aim of this research is to design an auto-vending machine for cupped beverage, specifically researching its working principle, the design of beverage powder transporting mechanism, paper cups detaching mechanism and paper cups slide mechanism. The article elaborates that the design of beverage powder transporting mechanism is mainly the selection of electromagnet and the determination of electromagnet stroke, requiring that the electromagnet stroke and the maximum weight that the electromagnet could bear should have rationality, to ensure its safe operation; the design of paper cups detaching mechanism mainly includes selecting electric motor and V belt; the design of paper cups slide mechanism includes the design of slide structure and the force analysis when the paper cup slides on the slide. And then the working principle and working process of the auto-vending machine for cupped beverage is introduced, based on which the conclusion has been reached.

  11. How State Taxes and Policies Targeting Soda Consumption Modify the Association between School Vending Machines and Student Dietary Behaviors: A Cross-Sectional Analysis

    OpenAIRE

    Taber, Daniel R.; Chriqui, Jamie F.; Renee Vuillaume; Chaloupka, Frank J.

    2014-01-01

    Background: Sodas are widely sold in vending machines and other school venues in the United States, particularly in high school. Research suggests that policy changes have reduced soda access, but the impact of reduced access on consumption is unclear. This study was designed to identify student, environmental, or policy characteristics that modify the associations between school vending machines and student dietary behaviors. Methods: Data on school vending machine access and student diet we...

  12. State sales tax rates for soft drinks and snacks sold through grocery stores and vending machines, 2007.

    Science.gov (United States)

    Chriqui, Jamie F; Eidson, Shelby S; Bates, Hannalori; Kowalczyk, Shelly; Chaloupka, Frank J

    2008-07-01

    Junk food consumption is associated with rising obesity rates in the United States. While a "junk food" specific tax is a potential public health intervention, a majority of states already impose sales taxes on certain junk food and soft drinks. This study reviews the state sales tax variance for soft drinks and selected snack products sold through grocery stores and vending machines as of January 2007. Sales taxes vary by state, intended retail location (grocery store vs. vending machine), and product. Vended snacks and soft drinks are taxed at a higher rate than grocery items and other food products, generally, indicative of a "disfavored" tax status attributed to vended items. Soft drinks, candy, and gum are taxed at higher rates than are other items examined. Similar tax schemes in other countries and the potential implications of these findings relative to the relationship between price and consumption are discussed.

  13. 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.

  14. 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.

  15. Adherence to nutritional recommendations in vending machines at secondary schools in Madrid (Spain), 2014-2015.

    Science.gov (United States)

    Monroy-Parada, Doris Xiomara; Jácome-González, María Luisa; Moya-Geromini, María Ángeles; Rodríguez-Artalejo, Fernando; Royo-Bordonada, Miguel Ángel

    2017-07-13

    To describe the nutritional content of products offered in food and drink vending machines at secondary schools in the Madrid Autonomous Community (Spain), and to evaluate these items' adherence to the nutritional recommendations of the National Health System Consensus Document on School Food. Cross-sectional study of a sample of 330 secondary schools in Madrid across the period 2014-2015. Secondary school vending machines were identified by telephone interview. The products offered in a representative sample of six machines were identified by inspection in situ, and their nutritional composition was obtained from the labelling. A total of 94.5% of the 55 products on offer failed to comply with at least one nutritional criterion of the Consensus Document on School Food. The recommendation relating to sugar content registered the highest level of non-compliance, with 52.7% of products, followed by the recommendations relating to energy (47.3%) and fats (45.5%). The mean number of unmet criteria was 2.2, with this figure being higher in foods than in drinks (2.8 versus 1; p <0.01). Almost all the products on display in secondary school vending machines in Madrid were in breach of the Consensus Document on School Food, mainly due to an excess of calories, sugars and fats. Compulsory nutritional criteria and a procedure for monitoring adherence should be established, specifying those responsible for performing this task and the corrective measures to be applied in the event of non-compliance. Copyright © 2017 SESPAS. Publicado por Elsevier España, S.L.U. All rights reserved.

  16. Raw milk from vending machines: Effects of boiling, microwave treatment, and refrigeration on microbiological quality.

    Science.gov (United States)

    Tremonte, Patrizio; Tipaldi, Luca; Succi, Mariantonietta; Pannella, Gianfranco; Falasca, Luisa; Capilongo, Valeria; Coppola, Raffaele; Sorrentino, Elena

    2014-01-01

    In Italy, the sale of raw milk from vending machines has been allowed since 2004. Boiling treatment before its use is mandatory for the consumer, because the raw milk could be an important source of foodborne pathogens. This study fits into this context with the aim to evaluate the microbiological quality of 30 raw milk samples periodically collected (March 2013 to July 2013) from 3 vending machines located in Molise, a region of southern Italy. Milk samples were stored for 72 h at 4 °C and then subjected to different treatments, such as boiling and microwaving, to simulate domestic handling. The results show that all the raw milk samples examined immediately after their collection were affected by high microbial loads, with values very close to or even greater than those acceptable by Italian law. The microbial populations increased during refrigeration, reaching after 72 h values of about 8.0 log cfu/mL for Pseudomonas spp., 6.5 log cfu/mL for yeasts, and up to 4.0 log cfu/mL for Enterobacteriaceae. Boiling treatment, applied after 72 h to refrigerated milk samples, caused complete decontamination, but negatively affected the nutritional quality of the milk, as demonstrated by a drastic reduction of whey proteins. The microwave treatment at 900 W for 75 s produced microbiological decontamination similar to that of boiling, preserving the content in whey proteins of milk. The microbiological characteristics of raw milk observed in this study fully justify the obligation to boil the raw milk from vending machines before consumption. However, this study also showed that domestic boiling causes a drastic reduction in the nutritional value of milk. Microwave treatment could represent a good alternative to boiling, on the condition that the process variables are standardized for safe domestic application. Copyright © 2014 American Dairy Science Association. Published by Elsevier Inc. All rights reserved.

  17. Taxing soft drinks and restricting access to vending machines to curb child obesity.

    Science.gov (United States)

    Fletcher, Jason M; Frisvold, David; Tefft, Nathan

    2010-05-01

    One of the largest drivers of the current obesity epidemic is thought to be excessive consumption of sugar-sweetened beverages. Some have proposed vending machine restrictions and taxing soft drinks to curb children's consumption of soft drinks; to a large extent, these policies have not been evaluated empirically. We examine these policies using two nationally representative data sets and find no evidence that, as currently practiced, either is effective at reducing children's weight. We conclude by outlining changes that may increase their effectiveness, such as implementing comprehensive restrictions on access to soft drinks in schools and imposing higher tax rates than are currently in place in many jurisdictions.

  18. Nutritional value of foods sold in vending machines in a UK University: Formative, cross-sectional research to inform an environmental intervention.

    Science.gov (United States)

    Park, Hanla; Papadaki, Angeliki

    2016-01-01

    Vending machine use has been associated with low dietary quality among children but there is limited evidence on its role in food habits of University students. We aimed to examine the nutritional value of foods sold in vending machines in a UK University and conduct formative research to investigate differences in food intake and body weight by vending machine use among 137 University students. The nutrient content of snacks and beverages available at nine campus vending machines was assessed by direct observation in May 2014. Participants (mean age 22.5 years; 54% males) subsequently completed a self-administered questionnaire to assess vending machine behaviours and food intake. Self-reported weight and height were collected. Vending machine snacks were generally high in sugar, fat and saturated fat, whereas most beverages were high in sugar. Seventy three participants (53.3%) used vending machines more than once per week and 82.2% (n 60) of vending machine users used them to snack between meals. Vending machine accessibility was positively correlated with vending machine use (r = 0.209, P = 0.015). Vending machine users, compared to non-users, reported a significantly higher weekly consumption of savoury snacks (5.2 vs. 2.8, P = 0.014), fruit juice (6.5 vs. 4.3, P = 0.035), soft drinks (5.1 vs. 1.9, P = 0.006), meat products (8.3 vs. 5.6, P = 0.029) and microwave meals (2.0 vs. 1.3, P = 0.020). No between-group differences were found in body weight. Most foods available from vending machines in this UK University were of low nutritional quality. In this sample of University students, vending machine users displayed several unfavourable dietary behaviours, compared to non-users. Findings can be used to inform the development of an environmental intervention that will focus on vending machines to improve dietary behaviours in University students in the UK.

  19. A novel vending machine for supplying root canal tools during surgery.

    Science.gov (United States)

    Nelson, Carl A; Hossain, S G M; Al-Okaily, Ala'a; Ong, Jason

    2012-02-01

    A root canal surgery involves the successive use of several tools one after another. Typically dozens of tools are laid out for possible use, and the process of tool selection is done manually. This is a rather inefficient process and uses up a large area on the mobile cart or cabinet of the dental chair due to the large number of tools. In this article, a novel 'tool vending machine' is introduced which will be capable of solving those problems and at the same time move a step closer to robot-assisted dental surgery. The tool vending machine was designed considering the needs of the dentists and also from the perspective of the entire product life cycle. For these reasons the design process was implemented using a rigorous analysis of effective manufacturing processes and product quality. To show the feasibility of using such a machine in improving work efficiency during operations, a study of the associated motion patterns and the required time increments were demonstrated.

  20. Listeria Spp. and Listeria Monocytogenes Contamination in Ready-To-Eat Sandwiches Collected from Vending Machines

    Science.gov (United States)

    Cossu, Francesca; Spanu, Carlo; Deidda, Silvia; Mura, Erica; Casti, Daniele; Pala, Carlo; Lamon, Sonia; Spanu, Vincenzo; Ibba, Michela; Marrocu, Elena; Piana, Andrea; De Santis, Enrico Pietro Luigi

    2016-01-01

    Ready-to-eat (RTE) food is characterised by a long shelf-life at refrigerated temperature and can be consumed as such, without any treatment. The aim of the work was to evaluate the presence of Listeria spp. and Listeria monocytogenes in RTEs collected from refrigerated vending machines placed in hospital environment and accessible to the hospitalised patients. In 4 different sampling, 55 RTEs were collected from vending machines of six hospitals located in different areas of Sardinia region. All the samples were characterised by similar manufacturing process, such as the use of modified atmosphere packaging and belonged to 5 different producers. Listeria spp. was not countable using the enumeration method in all of the analysed samples. Using the detection method, Listeria spp. was recovered from 9 sandwich samples. Interestingly, 3 of these samples (5.5%) made by the manufacturer, were positive for L. monocytogenes contamination. The risk related to the L. monocytogenes presence in RTEs proportionally increases when food is introduced in susceptible environments, such as hospitals and consumed by susceptible people. Although the RTEs analysed showed values that complied with the European microbiological criteria for foodstuffs, the availability of these products in a susceptible environment should be carefully checked. Therefore, in order to limit the possible exposition to L. monocytogenes, more information on the risk related to RTE consumption should be provided to the hospitalised patients. PMID:27800439

  1. Associations between Parental Limits, School Vending Machine Purchases, and Soft Drink Consumption among Kentucky Middle School Students

    Science.gov (United States)

    Nickelson, Jen; Roseman, Mary G.; Forthofer, Melinda S.

    2010-01-01

    Objective: To examine associations between parental limits on soft drinks and purchasing soft drinks from school vending machines and consuming soft drinks among middle school students. Design: Secondary analysis of cross-sectional data from the middle school Youth Risk Behavior Survey. Setting: Eight public middle schools in central Kentucky.…

  2. Determining the Feasibility of Milk Vending Machines to Improve Calcium Intake Among College Students

    OpenAIRE

    Laura E. Monnat; Rose, Angela M; Julie A. Kennel; Holloman, Christopher H.; Gail L. Kaye; Gunther, Carolyn W

    2014-01-01

    Calcium intake declines from late adolescence to young adulthood, in part, due to decreases in accessibility to milk and dairy products. While milk vending has shown demonstrated success in secondary schools, no studies have examined whether milk vending improves calcium intake among college students. We hypothesized that milk and calcium intake would be higher among college students given access to milk vending in their dormitory (milk vending consumers) compared to those lacking access in...

  3. Introducing systems change in the schools: the case of school luncheons and vending machines.

    Science.gov (United States)

    Suarez-Balcazar, Yolanda; Redmond, Ladonna; Kouba, Joanne; Hellwig, Maureen; Davis, Rochelle; Martinez, Louise I; Jones, Lara

    2007-06-01

    A major public health crisis facing America's society is the increase in child and youth obesity, which has seen a fourfold increase in the last four decades. Major concerns include what children eat for school lunch and what other foods are available in schools. This paper illustrates efforts towards systems change in the luncheon program and food vending machines in the Chicago Public Schools. We discuss the different factors that lead to such changes using the framework of the social ecological model and the soft systems methodology, and we analyze how the resulting innovation was implemented and evaluated. First, we present a theoretical perspective to explain factors that influence children's eating patterns from a systems approach. Second, we discuss the antecedent factors that lead to systems change. Finally, we examine challenges to systems change, such as resistance to change, different stakeholder priorities, lack of resources, institutional bureaucracy, and unrealistic funder expectations.

  4. New series of paper pack vending machines; Paper pack jido hanbaiki no shin series

    Energy Technology Data Exchange (ETDEWEB)

    Ohashi, M. [Fuji Denki Reiki Co. Ltd., Tokyo (Japan); Umino, S. [Fuji Electric Co. Ltd., Tokyo (Japan)

    1996-07-10

    This paper presents series of paper pack vending machines. These machines may be broadly classified into those of cold drinks and of hot and cold drinks depending on the storage temperature of products. The former is the machine for cooling dairy products at 10{degree}C with a combined stacking by direct-stacked racks and chain-multiracks. The latter is provided with divided storing chambers with each chamber selectively cooled or heated. Products in the hot chamber are canned coffee and the like set at 55{degree}C. The temperature control is performed by a microcomputer. The chain-multiracks are provided with advantages such as capability of handling various kinds of container shapes, storing drinks and foods vertically, replacing products by the change of a shelf attachment with one operation, and storing one liter packs by setting pair columns. The direct-stacked racks are provided with advantages such as versatility of handling various kinds of containers and miniaturization of the mechanism other than the storage part. The installation space was reduced by devising the opening and closing of the door. The control part is capable of setting temperatures differently for cans and paper packs. 7 figs., 1 tab.

  5. Acceptability of using electronic vending machines to deliver oral rapid HIV self-testing kits: a qualitative study.

    Directory of Open Access Journals (Sweden)

    Sean D Young

    Full Text Available Rates of unrecognized HIV infection are significantly higher among Latino and Black men who have sex with men (MSM. Policy makers have proposed that HIV self-testing kits and new methods for delivering self-testing could improve testing uptake among minority MSM. This study sought to conduct qualitative assessments with MSM of color to determine the acceptability of using electronic vending machines to dispense HIV self-testing kits.African American and Latino MSM were recruited using a participant pool from an existing HIV prevention trial on Facebook. If participants expressed interest in using a vending machine to receive an HIV self-testing kit, they were emailed a 4-digit personal identification number (PIN code to retrieve the test from the machine. We followed up with those who had tested to assess their willingness to participate in an interview about their experience.Twelve kits were dispensed and 8 interviews were conducted. In general, participants expressed that the vending machine was an acceptable HIV test delivery method due to its novelty and convenience.Acceptability of this delivery model for HIV testing kits was closely associated with three main factors: credibility, confidentiality, and convenience. Future research is needed to address issues, such as user-induced errors and costs, before scaling up the dispensing method.

  6. Sweet and salty. An assessment of the snacks and beverages sold in vending machines on US post-secondary institution campuses.

    Science.gov (United States)

    Byrd-Bredbenner, Carol; Johnson, Michelle; Quick, Virginia M; Walsh, Jennifer; Greene, Geoffrey W; Hoerr, Sharon; Colby, Sarah M; Kattelmann, Kendra K; Phillips, Beatrice W; Kidd, Tandalayo; Horacek, Tanya M

    2012-06-01

    This study assessed the nutritional quality of snacks and beverages sold in vending machines. The contents of snack and beverage vending machines in 78 buildings on 11 US post-secondary education campuses were surveyed. Of the 2607 snack machine slots surveyed, the most common snacks vended were salty snacks (e.g., chips, pretzels) and sweets (i.e., candy and candy bars). The 1650 beverage machine slots assessed contained twice as many sugar-sweetened beverages as non-calorie-containing beverages. Only two institutions sold both milk and 100% juice in vending machines. The portion of snacks and beverages sold averaged more than 200 cal. Neither snacks nor beverages were nutrient dense. The majority of snacks were low in fiber and high in calories and fat and almost half were high in sugar. Most beverages were high in calories and sugar. This study's findings suggest that vending machines provide limited healthful choices. Findings from benchmark assessments of components of the food environment, like the vending options reported here, can provide valuable input to campus administrators, health services, food service, and students who want to establish campus policies to promote healthful eating. Copyright © 2012 Elsevier Ltd. All rights reserved.

  7. RAW MILK AT VENDING MACHINES: EVALUATION OF E. SAKAZAKII, COXIELLA BURNETII AND M. PARATUBERCULOSIS IN PIEDMONT EXPERIENCE

    Directory of Open Access Journals (Sweden)

    T. Civera

    2013-02-01

    Full Text Available Italian consumers changed their food habits in the last period; the increase of raw milk consuming is also related to the high number of self service vending machines that have been authorized, particularly in Northern Italy. According to national rules on raw milk hygienic conditions, the most important bacteria are checked by Veterinary Services; the aim of this study was to investigate some emerging or re-emerging hazards in raw milk at vending machines. For this reason 100 raw milk samples were collected and analyzed in order to detect E. sakazakii, Coxiella burnetii and M. avium subsp paratuberculosis. One milk sample resulted to be positive with PCR method for E. sakazakii (no cultural confirmation was possible; 49% of samples resulted posivite for the presence of Coxiella burnetii specific DNA, and 5% of milk samples came out positive to the presence of M. paratuberuclosis antibodies with ELISA methods.

  8. Distributed and Cascade Lossy Source Coding with a Side Information "Vending Machine"

    CERN Document Server

    Ahmadi, Behzad

    2011-01-01

    Source coding with a side information "vending machine" is a recently proposed framework in which the statistical relationship between the side information and the source, instead of being given and fixed as in the classical Wyner-Ziv problem, can be controlled by the decoder. This control action is selected by the decoder based on the message encoded by the source node. Unlike conventional settings, the message can thus carry not only information about the source to be reproduced at the decoder, but also control information aimed at improving the quality of the side information. In this paper, the single-letter characterization of the trade-offs between rate, distortion and cost associated with the control actions is extended from the previously studied point-to-point set-up to two basic multiterminal models. First, a distributed source coding model is studied, in which an arbitrary number of encoders communicate over rate-limited links to a decoder, whose side information can be controlled. The control acti...

  9. Reliability of the hospital nutrition environment scan for cafeterias, vending machines, and gift shops.

    Science.gov (United States)

    Winston, Courtney P; Sallis, James F; Swartz, Michael D; Hoelscher, Deanna M; Peskin, Melissa F

    2013-08-01

    According to ecological models, the physical environment plays a major role in determining individual health behaviors. As such, researchers have started targeting the consumer nutrition environment of large-scale foodservice operations when implementing obesity-prevention programs. In 2010, the American Hospital Association released a call-to-action encouraging health care facilities to join in this movement and improve their facilities' consumer nutrition environments. The Hospital Nutrition Environment Scan (HNES) for Cafeterias, Vending Machines, and Gift Shops was developed in 2011, and the present study evaluated the inter-rater reliability of this instrument. Two trained raters visited 39 hospitals in southern California and completed the HNES. Percent agreement, kappa statistics, and intraclass correlation coefficients were calculated. Percent agreement between raters ranged from 74.4% to 100% and kappa statistics ranged from 0.458 to 1.0. The intraclass correlation coefficient for the overall nutrition composite scores was 0.961. Given these results, the HNES demonstrated acceptable reliability metrics and can now be disseminated to assess the current state of hospital consumer nutrition environments.

  10. An (un)healthy poster: When environmental cues affect consumers' food choices at vending machines.

    Science.gov (United States)

    Stöckli, Sabrina; Stämpfli, Aline E; Messner, Claude; Brunner, Thomas A

    2016-01-01

    Environmental cues can affect food decisions. There is growing evidence that environmental cues influence how much one consumes. This article demonstrates that environmental cues can similarly impact the healthiness of consumers' food choices. Two field studies examined this effect with consumers of vending machine foods who were exposed to different posters. In field study 1, consumers with a health-evoking nature poster compared to a pleasure-evoking fun fair poster or no poster in their visual sight were more likely to opt for healthy snacks. Consumers were also more likely to buy healthy snacks when primed by an activity poster than when exposed to the fun fair poster. In field study 2, this consumer pattern recurred with a poster of skinny Giacometti sculptures. Overall, the results extend the mainly laboratory-based evidence by demonstrating the health-relevant impact of environmental cues on food decisions in the field. Results are discussed in light of priming literature emphasizing the relevance of preexisting associations, mental concepts and goals. Copyright © 2015 Elsevier Ltd. All rights reserved.

  11. 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

  12. Evaluation of compliance with the self-regulation agreement of the food and drink vending machine sector in primary schools in Madrid, Spain, in 2008.

    Science.gov (United States)

    Royo-Bordonada, Miguel A; Martínez-Huedo, María A

    2014-01-01

    To evaluate compliance with the self-regulation agreement of the food and drink vending machine sector in primary schools in Madrid, Spain. Cross-sectional study of the prevalence of vending machines in 558 primary schools in 2008. Using the directory of all registered primary schools in Madrid, we identified the presence of machines by telephone interviews and evaluated compliance with the agreement by visiting the schools and assessing accessibility, type of publicity, the products offered and knowledge of the agreement. The prevalence of schools with vending machines was 5.8%. None of the schools reported knowledge of the agreement or of its nutritional guidelines, and most machines were accessible to primary school pupils (79.3%) and packed with high-calorie, low-nutrient-dense foods (58.6%). Compliance with the self-regulation agreement of the vending machines sector was low. Stricter regulation should receive priority in the battle against the obesity epidemic. Copyright © 2013 SESPAS. Published by Elsevier Espana. All rights reserved.

  13. How state taxes and policies targeting soda consumption modify the association between school vending machines and student dietary behaviors: a cross-sectional analysis.

    Directory of Open Access Journals (Sweden)

    Daniel R Taber

    Full Text Available Sodas are widely sold in vending machines and other school venues in the United States, particularly in high school. Research suggests that policy changes have reduced soda access, but the impact of reduced access on consumption is unclear. This study was designed to identify student, environmental, or policy characteristics that modify the associations between school vending machines and student dietary behaviors.Data on school vending machine access and student diet were obtained as part of the National Youth Physical Activity and Nutrition Study (NYPANS and linked to state-level data on soda taxes, restaurant taxes, and state laws governing the sale of soda in schools. Regression models were used to: 1 estimate associations between vending machine access and soda consumption, fast food consumption, and lunch source, and 2 determine if associations were modified by state soda taxes, restaurant taxes, laws banning in-school soda sales, or student characteristics (race/ethnicity, sex, home food access, weight loss behaviors..Contrary to the hypothesis, students tended to consume 0.53 fewer servings of soda/week (95% CI: -1.17, 0.11 and consume fast food on 0.24 fewer days/week (95% CI: -0.44, -0.05 if they had in-school access to vending machines. They were also less likely to consume soda daily (23.9% vs. 27.9%, average difference  =  -4.02, 95% CI: -7.28, -0.76. However, these inverse associations were observed primarily among states with lower soda and restaurant tax rates (relative to general food tax rates and states that did not ban in-school soda sales. Associations did not vary by any student characteristics except for weight loss behaviors.Isolated changes to the school food environment may have unintended consequences unless policymakers incorporate other initiatives designed to discourage overall soda consumption.

  14. [Limits of self regulation of the private food sector: the case of removing of vending machines from schools].

    Science.gov (United States)

    Michaud, Claude; Baudier, François

    2007-01-01

    Conflicts of interest between the food industry and public decision makers have increasingly multiplied over the last few years, especially within the context of implementing the French National Nutrition Programme. This paper describes the rhetoric and the strategies developed by the private sector in order to counter the law's implementation and enforcement based on a concrete example, namely, the removal of vending machines from schools. After having evoked possibilities of developing new partnerships as suggested by national and international health authorities, it reaffirms the right and the duty of the State to regulate within the framework of a health promotion policy, an approach which integrates the necessary open democratic public debate between the different sectors.

  15. 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...

  16. State but not district nutrition policies are associated with less junk food in vending machines and school stores in US public schools.

    Science.gov (United States)

    Kubik, Martha Y; Wall, Melanie; Shen, Lijuan; Nanney, Marilyn S; Nelson, Toben F; Laska, Melissa N; Story, Mary

    2010-07-01

    Policy that targets the school food environment has been advanced as one way to increase the availability of healthy food at schools and healthy food choice by students. Although both state- and district-level policy initiatives have focused on school nutrition standards, it remains to be seen whether these policies translate into healthy food practices at the school level, where student behavior will be impacted. To examine whether state- and district-level nutrition policies addressing junk food in school vending machines and school stores were associated with less junk food in school vending machines and school stores. Junk food was defined as foods and beverages with low nutrient density that provide calories primarily through fats and added sugars. A cross-sectional study design was used to assess self-report data collected by computer-assisted telephone interviews or self-administered mail questionnaires from state-, district-, and school-level respondents participating in the School Health Policies and Programs Study 2006. The School Health Policies and Programs Study, administered every 6 years since 1994 by the Centers for Disease Control and Prevention, is considered the largest, most comprehensive assessment of school health policies and programs in the United States. A nationally representative sample (n=563) of public elementary, middle, and high schools was studied. Logistic regression adjusted for school characteristics, sampling weights, and clustering was used to analyze data. Policies were assessed for strength (required, recommended, neither required nor recommended prohibiting junk food) and whether strength was similar for school vending machines and school stores. School vending machines and school stores were more prevalent in high schools (93%) than middle (84%) and elementary (30%) schools. For state policies, elementary schools that required prohibiting junk food in school vending machines and school stores offered less junk food than

  17. 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.

  18. 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...

  19. An investigation of the usability of sound recognition for source separation of packaging wastes in reverse vending machines.

    Science.gov (United States)

    Korucu, M Kemal; Kaplan, Özgür; Büyük, Osman; Güllü, M Kemal

    2016-10-01

    In this study, we investigate the usability of sound recognition for source separation of packaging wastes in reverse vending machines (RVMs). For this purpose, an experimental setup equipped with a sound recording mechanism was prepared. Packaging waste sounds generated by three physical impacts such as free falling, pneumatic hitting and hydraulic crushing were separately recorded using two different microphones. To classify the waste types and sizes based on sound features of the wastes, a support vector machine (SVM) and a hidden Markov model (HMM) based sound classification systems were developed. In the basic experimental setup in which only free falling impact type was considered, SVM and HMM systems provided 100% classification accuracy for both microphones. In the expanded experimental setup which includes all three impact types, material type classification accuracies were 96.5% for dynamic microphone and 97.7% for condenser microphone. When both the material type and the size of the wastes were classified, the accuracy was 88.6% for the microphones. The modeling studies indicated that hydraulic crushing impact type recordings were very noisy for an effective sound recognition application. In the detailed analysis of the recognition errors, it was observed that most of the errors occurred in the hitting impact type. According to the experimental results, it can be said that the proposed novel approach for the separation of packaging wastes could provide a high classification performance for RVMs.

  20. Consumer Nutrition Environments of Hospitals: An Exploratory Analysis Using the Hospital Nutrition Environment Scan for Cafeterias, Vending Machines, and Gift Shops, 2012

    OpenAIRE

    Courtney P. Winston, DrPH, RD, LD, CDE; James F. Sallis, PhD; Michael D. Swartz, PhD; Deanna M. Hoelscher, PhD, RD; Melissa F. Peskin, PhD

    2013-01-01

    Introduction Hospitals are the primary worksite of over 5 million adults in the United States, and millions of meals are procured and consumed in this setting. Because many worksite nutrition initiatives use an ecological framework to improve the dietary habits of employees, the nutrition values of foods served in hospitals is receiving attention. Methods This study used the Hospital Nutrition Environment Scan for Cafeterias, Vending Machines, and Gift Shops to quantitatively describe the con...

  1. 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.

  2. Profits, Commercial Food Supplier Involvement, and School Vending Machine Snack Food Availability: Implications for Implementing the New Competitive Foods Rule

    Science.gov (United States)

    Terry-McElrath, Yvonne M.; Hood, Nancy E.; Colabianchi, Natalie; O'Malley, Patrick M.; Johnston, Lloyd D.

    2014-01-01

    Background: The 2013-2014 school year involved preparation for implementing the new US Department of Agriculture (USDA) competitive foods nutrition standards. An awareness of associations between commercial supplier involvement, food vending practices, and food vending item availability may assist schools in preparing for the new standards.…

  3. 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.

  4. Microbiological evaluation of hot beverages dispensed by vending machines from the Army barracks of Brigata Meccanizzata Aosta located in Messina

    Directory of Open Access Journals (Sweden)

    Chiara Beninati

    2013-04-01

    Full Text Available The aim of the present study was to evaluate the microbiological quality of hot beverages dispensed by vending machines (VMs. The study was carried out on 203 samples from 15 VMs located in 5 Army barracks in Messina. The samples included: water used for preparation of beverages, swab of water tank, swab of blender machine, chocolate powder, milk powder, cappuccino and chocolate drink (29 samples for each types. All samples were examined for total bacterial count (TBC, coliforms, Escherichia coli, enterococci, Pseudomonas aeruginosa, Staphylococcus aureus, Clostri - dium perfringens, Aeromonas spp., Salmonella spp. and Listeria monocytogenes. For the water samples the colony count (CC at 22°C and at 37°C was made. The average values of CC at 22°C and at 37°C were of 10.86x10²±8.72x10² CFU/mL and of 21.72x10²±16.44x10² CFU/mL, respectively. P. aeruginosa, coliform bacteria, S. aureus, E. coli and molds were detected from water. The TBC ranged from 176 CFU/g (±275.2 for chocolate powder to 294.8±69.4 CFU/g for milk powder. S. aureus and molds were isolated from milk powder, while coliforms, E. coli and S. aureus were observed in chocolate powder. The average TBC for hot beverages ranged from 34.32x10³±97.77x10³ CFU/mL for cappuccino to 36.59x10³±10.47x104 CFU/mL for chocolate drink. Coliforms, E. coli, enterococci and molds were detected from cappuccino, while enterococci and molds were observed in chocolate drink. The microbiological characteristics of the water and powders, hygiene, and the periodic cleaning of machines, influenced the microbiological quality of the hot beverages dispensed by VMs.

  5. 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...

  6. Are School Vending Machines Loaded with Calories and Fat: An Assessment of 106 Middle and High Schools

    Science.gov (United States)

    Pasch, Keryn E.; Lytle, Leslie A.; Samuelson, Anne C.; Farbakhsh, Kian; Kubik, Martha Y.; Patnode, Carrie D.

    2011-01-01

    Background: The purpose of this study was to describe the extent to which vending offerings in 106 schools in the St. Paul-Minneapolis, Minnesota metropolitan area, met criteria for types of beverages, fat, and calories based on selected criteria offered by the Institute of Medicine. Methods: Schools where youth participants were attending for the…

  7. [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.

  8. 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...

  9. 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.

  10. Students' beliefs and behaviour regarding low-calorie beverages, sweets or snacks: are they affected by lessons on healthy food and by changes to school vending machines?

    Science.gov (United States)

    Kocken, Paul L; van Kesteren, Nicole M C; Buijs, Goof; Snel, Jeltje; Dusseldorp, Elise

    2015-06-01

    To study the effects of school lessons about healthy food on adolescents' self-reported beliefs and behaviour regarding the purchase and consumption of soft drinks, water and extra foods, including sweets and snacks. The lessons were combined with the introduction of lower-calorie foods, food labelling and price reductions in school vending machines. A cluster-randomized controlled design was used to allocate schools to an experimental group (i.e. lessons and changes to school vending machines) and a control group (i.e. 'care as usual'). Questionnaires were used pre-test and post-test to assess students' self-reported purchase of extra products and their knowledge and beliefs regarding the consumption of low-calorie products. Secondary schools in the Netherlands. Twelve schools participated in the experimental group (303 students) and fourteen in the control group (311 students). The students' mean age was 13.6 years, 71.5% were of native Dutch origin and mean BMI was 18.9 kg/m(2). At post-test, the experimental group knew significantly more about healthy food than the control group. Fewer students in the experimental group (43%) than in the control group (56%) reported bringing soft drinks from home. There was no significant effect on attitude, social norm, perceived behavioural control and intention regarding the consumption of low-calorie extra products. The intervention had limited effects on students' knowledge and self-reported behaviour, and no effect on their beliefs regarding low-calorie beverages, sweets or snacks. We recommend a combined educational and environmental intervention of longer duration and engaging parents. More research into the effects of such interventions is needed.

  11. Comparison of Test Procedures and Energy Efficiency Criteria in Selected International Standards and Labeling Programs for Clothes Washers, Water Dispensers, Vending Machines and CFLs

    Energy Technology Data Exchange (ETDEWEB)

    Fridley, David; Zheng, Nina; Zhou, Nan

    2010-06-01

    Since the late 1970s, energy labeling programs and mandatory energy performance standards have been used in many different countries to improve the efficiency levels of major residential and commercial equipment. As more countries and regions launch programs covering a greater range of products that are traded worldwide, greater attention has been given to harmonizing the specific efficiency criteria in these programs and the test methods for measurements. For example, an international compact fluorescent light (CFL) harmonization initiative was launched in 2006 to focus on collaboration between Australia, China, Europe and North America. Given the long history of standards and labeling programs, most major energy-consuming residential appliances and commercial equipment are already covered under minimum energy performance standards (MEPS) and/or energy labels. For these products, such as clothes washers and CFLs, harmonization may still be possible when national MEPS or labeling thresholds are revised. Greater opportunity for harmonization exists in newer energy-consuming products that are not commonly regulated but are under consideration for new standards and labeling programs. This may include commercial products such as water dispensers and vending machines, which are only covered by MEPS or energy labels in a few countries or regions. As China continues to expand its appliance standards and labeling programs and revise existing standards and labels, it is important to learn from recent international experiences with efficiency criteria and test procedures for the same products. Specifically, various types of standards and labeling programs already exist in North America, Europe and throughout Asia for products in China's 2010 standards and labeling programs, namely clothes washers, water dispensers, vending machines and CFLs. This report thus examines similarities and critical differences in energy efficiency values, test procedure specifications and

  12. 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.

  13. 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.

  14. 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.

  15. Human campylobacteriosis related to the consumption of raw milk sold by vending machines in Italy: Quantitative risk assessment based on official controls over four years.

    Science.gov (United States)

    Giacometti, Federica; Bonilauri, Paolo; Amatiste, Simonetta; Arrigoni, Norma; Bianchi, Manila; Losio, Marina Nadia; Bilei, Stefano; Cascone, Giuseppe; Comin, Damiano; Daminelli, Paolo; Decastelli, Lucia; Merialdi, Giuseppe; Mioni, Renzo; Peli, Angelo; Petruzzelli, Annalisa; Tonucci, Franco; Piva, Silvia; Serraino, Andrea

    2015-09-01

    A quantitative risk assessment (RA) model was developed to describe the risk of campylobacteriosis linked to consumption of raw milk sold in vending machines in Italy. Exposure assessment was based on the official microbiological records of raw milk samples from vending machines monitored by the regional Veterinary Authorities from 2008 to 2011, microbial growth during storage, destruction experiments, consumption frequency of raw milk, serving size, consumption preference and age of consumers. The differential risk considered milk handled under regulation conditions (4°C throughout all phases) and the worst time-temperature field handling conditions detected. Two separate RA models were developed, one for the consumption of boiled milk and the other for the consumption of raw milk, and two different dose-response (D-R) relationships were considered. The RA model predicted no human campylobacteriosis cases per year either in the best (4°C) storage conditions or in the case of thermal abuse in case of boiling raw milk, whereas in case of raw milk consumption the annual estimated campylobacteriosis cases depend on the dose-response relationships used in the model (D-R I or D-R II), the milk time-temperature storage conditions, consumer behaviour and age of consumers, namely young (with two cut-off values of ≤5 or ≤6 years old for the sensitive population) versus adult consumers. The annual estimated cases for young consumers using D-R II for the sensitive population (≤5 years old) ranged between 1013.7/100,000 population and 8110.3/100,000 population and for adult consumers using D-R I between 79.4/100,000 population and 333.1/100,000 population. Quantification of the risks associated with raw milk consumption is necessary from a public health perspective and the proposed RA model represents a useful and flexible tool to perform future RAs based on local consumer habits to support decision-making on safety policies. Further educational programmes for raw milk

  16. Healthier choices in an Australian health service: a pre-post audit of an intervention to improve the nutritional value of foods and drinks in vending machines and food outlets.

    Science.gov (United States)

    Bell, Colin; Pond, Nicole; Davies, Lynda; Francis, Jeryl Lynn; Campbell, Elizabeth; Wiggers, John

    2013-11-25

    Vending machines and shops located within health care facilities are a source of food and drinks for staff, visitors and outpatients and they have the potential to promote healthy food and drink choices. This paper describes perceptions of parents and managers of health-service located food outlets towards the availability and labelling of healthier food options and the food and drinks offered for sale in health care facilities in Australia. It also describes the impact of an intervention to improve availability and labelling of healthier foods and drinks for sale. Parents (n = 168) and food outlet managers (n = 17) were surveyed. Food and drinks for sale in health-service operated food outlets (n = 5) and vending machines (n = 90) in health care facilities in the Hunter New England region of NSW were audited pre (2007) and post (2010/11) the introduction of policy and associated support to increase the availability of healthier choices. A traffic light system was used to classify foods from least (red) to most healthy choices (green). Almost all (95%) parents and most (65%) food outlet managers thought food outlets on health service sites should have signs clearly showing healthy choices. Parents (90%) also thought all food outlets on health service sites should provide mostly healthy items compared to 47% of managers. The proportion of healthier beverage slots in vending machines increased from 29% to 51% at follow-up and the proportion of machines that labelled healthier drinks increased from 0 to 26%. No outlets labelled healthier items at baseline compared to 4 out of 5 after the intervention. No changes were observed in the availability or labelling of healthier food in vending machines or the availability of healthier food or drinks in food outlets. Baseline availability and labelling of healthier food and beverage choices for sale in health care facilities was poor in spite of the support of parents and outlet managers for such initiatives. The intervention

  17. 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.

  18. 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.

  19. Design of Vending Machine System Based on Verilog HDL Language%基于Verilog HDL自动售货机系统设计

    Institute of Scientific and Technical Information of China (English)

    张可儿

    2012-01-01

    Verilog Hardware description language is used for digital system modeling,including algorithm level and gate level as well as switch level.By debugging the hardware circuit,we can reduce hardware development cycle and cost.The paper introduces the features and application of Verilog HDL,and taking the design of vending machine as an example,illustrates in detail its design process,codes being given.The validity of the design is proved by timing simulation waveform.%Verilog硬件描述语言用于从算法级、门级到开关级的多种抽象设计层次的数字系统建模,并通过仿真软件完成硬件电路的调试,使得硬件开发周期和成本降低.介绍了Verilog HDL的特点和应用,并以自动售货机的设计为例,详细地说明了它的设计过程,并给出了代码,通过时序仿真波形证明设计的正确性.

  20. Analysis of satisfaction of final consumers: a study in a company of Vending Machines sector in the city of Santa Maria – RS

    Directory of Open Access Journals (Sweden)

    Maíra Nunes Piveta

    2016-06-01

    Full Text Available Organizations are inserted in a globalized competitive environment that suffers transformations and constantly advances. Given this scenario, the Alpha company, which sells coffee vending machines and supplies, adopted as a strategy to approach their final consumers. In this way, the overall objective of this study was to identify and assess the degree of satisfaction of the consumers of Alpha company with respect to the products and drinks and digital marketing in social media. The search can be classified as descriptive as to the nature with quantitative approach through the implementation of a research tool with a sample of 120 consumers of Alpha company at the points of sale. The survey results indicated that, in general, the satisfaction of consumers for products Alpha is great, except when it comes to price and quantity of sugar. Still, it was observed that the scope of the actions of Alpha digital marketing is low, being evidenced by means of low degrees of satisfaction justified by lack of consumer knowledge. Finally, opportunities and suggestions for improvement were presented.

  1. Interaction Design of Metro Automatic Ticket Vending System%地铁自动售票系统交互设计研究

    Institute of Scientific and Technical Information of China (English)

    陈虹; 张微

    2012-01-01

    In China, metro is playing an increasingly important role in the process of urban development. However, how to a-chieve more humanized goal, effective management and rational design are always the highlights. Most designs of metro facilities lay more attention on hardware technology and physical function, less attention is given to the research of users' psychology, travel mode and the rationality of facilities' use. Hence the insufficient functions in metro service. Metro automatic ticket vending system (ATVS) is based on interaction design methodologies and focuses on the needs of passengers. Through holistic analysis on interactive interfaces, user's psychology, identification and behavior features related to the performance of ATVS, advices for improving the function of rail transit facilities and the development of interaction design are proposed.%现阶段,地铁设施设计多注重硬件技术和物理功能的实现,对使用者的使用心理、使用方式、使用过程的合理性研究相对不足,造成地铁设施功能的不完善.以交互设计方法为研究基础,以用户研究为核心,通过对地铁自动售票机系统用户生理、识别与行为特征的分析,探索地铁自动售票机的设计改进策略.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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.

  7. 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%.

  8. 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...

  9. 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....

  10. 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)

  11. 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

  12. 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...

  13. 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.

  14. Seasonal variability of thermophilic Campylobacter spp. in raw milk sold by automatic vending machines in Lombardy Region

    Directory of Open Access Journals (Sweden)

    Barbara Bertasi

    2016-06-01

    Full Text Available In temperate climates, a seasonal trend was observed in the incidence of human campylobacteriosis cases, with peaks reported in spring and autumn in some countries, or in summer in others; a similar trend was observed in Campylobacter spp. dairy cattle faecal shedding, suggesting that cattle may play a role in the seasonal peak of human infection. The objectives of this study were to assess if a seasonal trend in thermophilic Campylobacter spp. contamination of raw milk exists and to evaluate a possible relation between this and the increase of human campylobacteriosis incidence in summer months. The results showed a mean prevalence of 1.6% of milk samples positive for thermophilic Campylobacter spp. with a wide range (0.0-3.1% in different months during the three years considered. The statistical analysis showed a significant difference (PCampylobacter spp. between warmer and cooler months (2.3 vs 0.6%. The evidence of a seasonal trend in thermophilic Campylobacter spp. contamination of raw milk sold for direct consumption, with an increase of the prevalence in warmer months, may represent one of the possible links between seasonal trend in cattle faecal shedding and seasonal trend in human campylobacteriosis.

  15. Seasonal variability of thermophilic Campylobacter spp. in raw milk sold by automatic vending machines in Lombardy Region

    OpenAIRE

    Barbara Bertasi; Marina Nadia Losio; Paolo Daminelli; Guido Finazzi; Andrea Serraino; Silvia Piva; Federica Giacometti; Elisa Massella; Fabio Ostanello

    2016-01-01

    In temperate climates, a seasonal trend was observed in the incidence of human campylobacteriosis cases, with peaks reported in spring and autumn in some countries, or in summer in others; a similar trend was observed in Campylobacter spp. dairy cattle faecal shedding, suggesting that cattle may play a role in the seasonal peak of human infection. The objectives of this study were to assess if a seasonal trend in thermophilic Campylobacter spp. contamination of raw milk exists and to evaluate...

  16. Can Nutrition Information Increase Sales of Healthful Vended Snacks?

    Science.gov (United States)

    Hoerr, Sharon Marshall; Louden, Victoria Ann

    1993-01-01

    A study was made of snack selections from unrefrigerated vending machines in relation to increased availabilty of nutrient-dense snack options and provision of nutrient information at four college sites. When snack options included more nutrient-dense choices, sales dropped. When nutrition information was posted on the machines, sales increased…

  17. Field handling conditions of raw milk sold in vending machines: experimental evaluation of the behaviour of Listeria monocytogenes, Escherichia coli O157:H7, Salmonella Typhimurium and Campylobacter jejuni

    Directory of Open Access Journals (Sweden)

    Renato G. Zanoni

    2012-01-01

    Full Text Available The direct sale by farmers of raw milk for human consumption has been allowed in Italy since 2004. The aim of this study was to evaluate the behaviour of selected foodborne pathogens in raw milk sold in vending machines, in field handling conditions, and during shelf-life from production to consumption. Temperature of storage of raw milk in 33 farms authorized to produce and sell raw milk were investigated from farm to vending machine delivery, together with consumer habits in one province of the Emilia-Romagna region of northern Italy. Failure to maintain appropriate low temperatures during shelf-life was recorded and 43% of consumers did not boil milk before consumption. Listeria monocytogenes, Escherichia coli O157:H7, Salmonella Typhimurium and Campylobacter jejuni strains were inoculated into raw milk samples, and the best (4°C as established by law and worst temperature storage conditions detected (variable temperature were simulated. Boiling tests were performed for each pathogen considered at high and low levels of contamination. Results showed an increase in L. monocytogenes in milk stored at 4°C and at variable temperatures recorded in shelf-life monitoring, an increase in E. coli O157:H7 and S. Typhimurium at variable temperatures but not at 4°C, and a decrease in C. jejuni in all storage conditions. Boiling milk is effective in making it safe for consumers. This study provides evidence that appropriate handling of raw milk, maintaining low temperatures, together with consumer education concerning boiling raw milk before consumption are key factors in preventing foodborne infections linked to raw milk consumption, and helps assess the risk of foodborne infection linked to raw milk consumption.

  18. Paediatric HUS Cases Related to the Consumption of Raw Milk Sold by Vending Machines in Italy: Quantitative Risk Assessment Based on Escherichia coli O157 Official Controls over 7 years.

    Science.gov (United States)

    Giacometti, F; Bonilauri, P; Piva, S; Scavia, G; Amatiste, S; Bianchi, D M; Losio, M N; Bilei, S; Cascone, G; Comin, D; Daminelli, P; Decastelli, L; Merialdi, G; Mioni, R; Peli, A; Petruzzelli, A; Tonucci, F; Liuzzo, G; Serraino, A

    2016-12-19

    A quantitative risk assessment (RA) was developed to estimate haemolytic-uremic syndrome (HUS) cases in paediatric population associated with the consumption of raw milk sold in vending machines in Italy. The historical national evolution of raw milk consumption phenomenon since 2008, when consumer interest started to grow, and after 7 years of marketing adjustment, is outlined. Exposure assessment was based on the official Shiga toxin-producing Escherichia coli O157:H7 (STEC) microbiological records of raw milk samples from vending machines monitored by the regional Veterinary Authorities from 2008 to 2014, microbial growth during storage, consumption frequency of raw milk, serving size, consumption preference and age of consumers. The differential risk considered milk handled under regulation conditions (4°C throughout all phases) and the worst time-temperature field handling conditions detected. In case of boiling milk before consumption, we assumed that the risk of HUS is fixed at zero. The model estimates clearly show that the public health significance of HUS cases due to raw milk STEC contamination depends on the current variability surrounding the risk profile of the food and the consumer behaviour has more impact than milk storage scenario. The estimated HUS cases predicted by our model are roughly in line with the effective STEC O157-associated HUS cases notified in Italy only when the proportion of consumers not boiling milk before consumption is assumed to be 1%. Raw milk consumption remains a source of E. coli O157:H7 for humans, but its overall relevance is likely to have subsided and significant caution should be exerted for temporal, geographical and consumers behaviour analysis. Health education programmes and regulatory actions are required to educate people, primarily children, on other STEC sources.

  19. 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.

  20. 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...

  1. 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

  2. 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...

  3. 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.

  4. 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.

  5. 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.

  6. 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.

  7. 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...

  8. 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...

  9. 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...

  10. 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.

  11. 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

  12. 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.

  13. 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.

  14. Health Promotion and Healthier Products Increase Vending Purchases: A Randomized Factorial Trial.

    Science.gov (United States)

    Hua, Sophia V; Kimmel, Lisa; Van Emmenes, Michael; Taherian, Rafi; Remer, Geraldine; Millman, Adam; Ickovics, Jeannette R

    2017-07-01

    The current food environment has a high prevalence of nutrient-sparse foods and beverages, most starkly seen in vending machine offerings. There are currently few studies that explore different interventions that might lead to healthier vending machine purchases. To examine how healthier product availability, price reductions, and/or promotional signs affect sales and revenue of snack and beverage vending machines. A 2×2×2 factorial randomized controlled trial was conducted. Students, staff, and employees on a university campus. All co-located snack and beverage vending machines (n=56, 28 snack and 28 beverage) were randomized into one of eight conditions: availability of healthier products and/or 25% price reduction for healthier items and/or promotional signs on machines. Aggregate sales and revenue data for the 5-month study period (February to June 2015) were compared with data from the same months 1 year prior. Analyses were conducted July 2015. The change in units sold and revenue between February through June 2014 and 2015. Linear regression models (main effects and interaction effects) and t test analyses were performed. The interaction between healthier product guidelines and promotional signs in snack vending machines documented increased revenue (Ppromotional signs are also important to ensure consumers purchase those items in greater amounts. Mitigating potential loss in profits is essential for sustainability of a healthier food environment. Copyright © 2017 Academy of Nutrition and Dietetics. Published by Elsevier Inc. All rights reserved.

  15. 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.

  16. 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.

  17. 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.

  18. 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.

  19. 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.

  20. 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.

  1. 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.

  2. 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)

  3. 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

  4. 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.

  5. 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.

  6. 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...

  7. 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.

  8. 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.

  9. 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.

  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. 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. 

  12. 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.

  13. 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.

  14. 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.

  15. 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.

  16. 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.

  17. 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.

  18. 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.

  19. 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.

  20. 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.

  1. 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

  2. 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.

  3. 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.

  4. 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)

  5. 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.

  6. 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

  7. 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

  8. 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

  9. 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.

  10. 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.

  11. 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.

  12. 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。

  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. 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.

  15. The Vending and à la Carte Policy Intervention in Maine Public High Schools

    Directory of Open Access Journals (Sweden)

    Anne-Marie Davee, MS, RD

    2005-11-01

    Full Text Available Background A healthy school nutrition environment may be important for decreasing childhood overweight. This article describes a project to make healthier snacks and beverages available in vending machines and à la carte programs in Maine public high schools. Context Seven public high schools in Maine volunteered to participate in this project. Four schools made changes to the nutrition environment, and three schools that served as controls did not. The nutrition guidelines were to offer only low-fat (not more than 30% of total calories from fat and low-sugar (not more than 35% by weight of sugar items in vending machines and à la carte programs. Methods Strategies to implement the project included early communications with school officials, monetary stipends for participation, identification of a school liaison, and a committee at each school to promote the healthy changes. Baseline nutrient content and sales of all competitive foods and beverages were assessed to develop the guidelines for changes in the four schools. Student volunteers at all seven schools were measured for height, weight, diet quality, and physical activity level to assess the impact of the change to the nutrition environment. Baseline measures were taken in the spring semester of 2004. Nutrition changes were made to the à la carte programs and vending machines in the four intervention schools at the start of the fall semester of 2004. Follow-up nutrition assessment and student data collection occurred in the spring semester of 2005. Consequences Healthy changes in vending machines were more easily achieved than those made in the à la carte programs. Technical assistance and ongoing support were essential for successful implementation of this intervention. Interpretation It is possible to improve the nutrition environment of Maine public high schools. Stakeholder support is essential to sustain healthy changes.

  16. The vending and à la carte policy intervention in Maine public high schools.

    Science.gov (United States)

    Davee, Anne-Marie; Blum, Janet E Whatley; Devore, Rachel L; Beaudoin, Christina M; Kaley, Lori A; Leiter, Janet L; Wigand, Debra A

    2005-11-01

    A healthy school nutrition environment may be important for decreasing childhood overweight. This article describes a project to make healthier snacks and beverages available in vending machines and à la carte programs in Maine public high schools. Seven public high schools in Maine volunteered to participate in this project. Four schools made changes to the nutrition environment, and three schools that served as controls did not. The nutrition guidelines were to offer only low-fat (not more than 30% of total calories from fat) and low-sugar (not more than 35% by weight of sugar) items in vending machines and à la carte programs. Strategies to implement the project included early communications with school officials, monetary stipends for participation, identification of a school liaison, and a committee at each school to promote the healthy changes. Baseline nutrient content and sales of all competitive foods and beverages were assessed to develop the guidelines for changes in the four schools. Student volunteers at all seven schools were measured for height, weight, diet quality, and physical activity level to assess the impact of the change to the nutrition environment. Baseline measures were taken in the spring semester of 2004. Nutrition changes were made to the à la carte programs and vending machines in the four intervention schools at the start of the fall semester of 2004. Follow-up nutrition assessment and student data collection occurred in the spring semester of 2005. Healthy changes in vending machines were more easily achieved than those made in the à la carte programs. Technical assistance and ongoing support were essential for successful implementation of this intervention. It is possible to improve the nutrition environment of Maine public high schools. Stakeholder support is essential to sustain healthy changes.

  17. 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.

  18. 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.

  19. 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.

  20. 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

  1. 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

  2. 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。

  3. 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.

  4. 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.

  5. 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.

  6. 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.

  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. Tegn og iagttagelse. At læse Erslev efter den sproglige vending

    DEFF Research Database (Denmark)

    Simonsen, Dorthe Gert

    2001-01-01

    Historie, Historieteori, Historisk metode, Klassisk kildekritik, New Historicism, Den sproglige vending......Historie, Historieteori, Historisk metode, Klassisk kildekritik, New Historicism, Den sproglige vending...

  9. 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.

  10. 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.

  11. 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.

  12. 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 ...

  13. 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.

  14. 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.

  15. 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.

  16. 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.

  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. Den Ontologiske Vending i Antropologi og Science and Technology Studies

    DEFF Research Database (Denmark)

    Winthereik, Brit Ross

    2015-01-01

    Formålet med artiklen er at afsøge, hvad videnskabs- og teknologi- studier eller Science and Technology Studies (STS) tilbyder humaniora og samfundsvidenskaberne med det nybrud, der er blevet kaldt den ontologiske vending. Med udgangspunkt i en beskrivelse af den onto- logiske vending i antropologi...

  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. 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.

  4. 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

  5. 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.

  6. 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.

  7. 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.

  8. 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.

  9. 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.

  10. 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.

  11. 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.

  12. 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.

  13. 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

  14. 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。

  15. 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.

  16. 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.

  17. 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%.

  18. 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.

  19. 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.

  20. 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.

  1. "Source Coding With a Side Information ""Vending Machine"""

    OpenAIRE

    Weissman, Tsachy; Permuter, Haim H.

    2011-01-01

    We study source coding in the presence of side information, when the system can take actions that affect the availability, quality, or nature of the side information. We begin by extending the Wyner-Ziv problem of source coding with decoder side information to the case where the decoder is allowed to choose actions affecting the side information. We then consider the setting where actions are taken by the encoder, based on its observation of the source. Actions may have costs that are commens...

  2. VENDED UM-JINGIR: A TRADITIONAL SUDANESE FOOD Mustafa ...

    African Journals Online (AJOL)

    Dr. Nazik E. M. Mustafa

    2011-09-05

    Sep 5, 2011 ... 2. Khartoum State Ministry of Health, P.O. Box 303 Khartoum, Sudan ... These ingredients include sugar, yogurt, lemon, little salt, and ... Microbiological quality investigations of street-vended foods have reported high bacterial ...

  3. 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.

  4. 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

  5. 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.

  6. 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。

  7. 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.

  8. 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.

  9. 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

  10. 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。

  11. 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.

  12. 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.

  13. 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.

  14. 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。

  15. 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).

  16. Itinerant vending of medicines inside buses in Nigeria: vending strategies, dominant themes and medicine-related information provided.

    Science.gov (United States)

    Yusuff, Kazeem B; Wassi Sanni, Abd'

    2011-07-01

    To determine vending strategies and marketing themes employed by itinerant bus vendors, and assess the accuracy and completeness of information provided on medicines being sold in an urban setting in Nigeria. Cross-sectional study and content analysis of itinerant vending of medicines inside buses recorded with a mobile telephone on purposively selected routes in a mega city with an estimated 18 million residents in southwestern Nigeria over a 2-month period. Two coders independently assessed 192 vending episodes by 56 vendors for 147 OTC and prescription medicines. Inter-rater reliability (Gwet AC1 =0.924; pmisleading and melodramatic themes to secure high consumer patronage appear considerable in Nigeria. Majority of the vendors did not correctly respond to consumers medicine-related enquiries, or provide detailed factual medicines information to guide appropriate use. These misleading promotional activities could potentially encourage inappropriate purchase and probable self-medication by consumers.

  17. 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

  18. Microbial Hazards of Street-Vended Grilled Chicken Intestine

    Directory of Open Access Journals (Sweden)

    Ma. Patricia Azanza

    1998-12-01

    Full Text Available Microbial hazards associated with street-vended grilled chicken intestine (isaw were studied. Grilling of isaw effected ≥89.00% decrease in the total microbial load of the sample. Cooked isaw contained about 105-106 cfu/g aerobic plate counts and 103-104 MPN/g coliform counts. Salmonella per 25 g sample was isolated from cooked isaw samples. Grilling eliminated Staphylococcus aureus and Listeria monocytogenes cells initially present in pre-cooked samples. Different sauces of isaw showed increasing numbers of total aerobic microorganisms and coliform during vending operations. The total plate counts and coliform counts of the sour sauce, which ranged from 103-105 cfu/g and 101 MPN/g, respectively, were observed to be lower than those found in the sweet sauce. Sources of microbial contaminants of grilled chicken isaw included the natural flora of the raw materials, contaminations from food-contact surfaces, bamboo skewers, and the hands of the food handlers. Among the critical control points identified in the street-vending operation of chicken isaw were the control of time and temperature during cooking and hold-on periods during vending operations.

  19. Safety of street vended meat products - chicken and beef suya

    African Journals Online (AJOL)

    USER

    2010-06-28

    Jun 28, 2010 ... second day after heating produced in beef suya 3.3 x 103/g. Shigella ... However, consumers of street vended meat are little aware of ... Growth in peptone water was used for .... vendor to re-heat the suya before purchasing.

  20. 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.

  1. 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。

  2. 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.

  3. School and District Wellness Councils and Availability of Low-Nutrient, Energy-Dense Vending Fare in Minnesota Middle and High Schools

    Science.gov (United States)

    Kubik, Martha Y.; Lytle, Leslie A.; Farbakhsh, Kian

    2011-01-01

    The Child Nutrition and WIC Reauthorization Act of 2004 required school districts participating in the federal school meals program to establish by the start of the 2006–2007 school year policies that included nutrition guidelines for all foods sold on school campus during the school day and policy development involving key stakeholders. For many schools, policy development was done by wellness councils. This study examined the association between having a wellness council and availability of low-nutrient, energy-dense foods/beverages in school vending machines following enactment of the federal legislation. In 2006–2007, Minnesota middle (n=35) and high (n=54) school principals reported whether their school and district had a wellness council. Trained research staff observed foods/beverages in vending machines accessible to students. Low-nutrient, energy-dense foods/beverages (snacks >3 g fat or >200 calories/serving, and soda, fruit/sport drinks and reduced-fat/whole milk) were grouped into seven categories (eg, high-fat baked goods) and a food score was calculated. Higher scores indicated more low-nutrient, energy-dense vending fare. Multivariate linear regression, adjusted for school characteristics, was used to examine associations between scores and a three-category council variable (district-only; district and school; no council). Among schools, 53% had district-only councils, 38% district and school councils, and 9% had no council. Schools with both a district and school council had a significantly lower mean food score than schools without councils (P=0.03). The potential of wellness councils to impact availability of low-nutrient, energy-dense vending fare is promising. There may be an added benefit to having both a school and district council. PMID:21185978

  4. School and district wellness councils and availability of low-nutrient, energy-dense vending fare in Minnesota middle and high schools.

    Science.gov (United States)

    Kubik, Martha Y; Lytle, Leslie A; Farbakhsh, Kian

    2011-01-01

    The Child Nutrition and WIC Reauthorization Act of 2004 required school districts participating in the federal school meals program to establish by the start of the 2006-2007 school year policies that included nutrition guidelines for all foods sold on school campus during the school day and policy development involving key stakeholders. For many schools, policy development was done by wellness councils. This study examined the association between having a wellness council and availability of low-nutrient, energy-dense foods/beverages in school vending machines following enactment of the federal legislation. In 2006-2007, Minnesota middle (n=35) and high (n=54) school principals reported whether their school and district had a wellness council. Trained research staff observed foods/beverages in vending machines accessible to students. Low-nutrient, energy-dense foods/beverages (snacks >3 g fat or >200 calories/serving, and soda, fruit/sport drinks and reduced-fat/whole milk) were grouped into seven categories (eg, high-fat baked goods) and a food score was calculated. Higher scores indicated more low-nutrient, energy-dense vending fare. Multivariate linear regression, adjusted for school characteristics, was used to examine associations between scores and a three-category council variable (district-only; district and school; no council). Among schools, 53% had district-only councils, 38% district and school councils, and 9% had no council. Schools with both a district and school council had a significantly lower mean food score than schools without councils (P=0.03). The potential of wellness councils to impact availability of low-nutrient, energy-dense vending fare is promising. There may be an added benefit to having both a school and district council.

  5. 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.

  6. 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.

  7. 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.

  8. 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.

  9. 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.

  10. 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.

  11. 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

  12. 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。

  13. 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。

  14. 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.

  15. 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...

  16. 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....

  17. 41 CFR 102-74.70 - Are commercial vendors and nonprofit organizations required to operate vending facilities by...

    Science.gov (United States)

    2010-07-01

    ... and nonprofit organizations required to operate vending facilities by permit or contractual... Management Concession Services § 102-74.70 Are commercial vendors and nonprofit organizations required to operate vending facilities by permit or contractual arrangement? Commercial vendors and...

  18. 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

  19. 34 CFR 395.30 - The location and operation of vending facilities for blind vendors on Federal property.

    Science.gov (United States)

    2010-07-01

    ... 34 Education 2 2010-07-01 2010-07-01 false The location and operation of vending facilities for... § 395.30 The location and operation of vending facilities for blind vendors on Federal property. (a... facilities on any Federal property. (b) Any limitation on the location or operation of a vending facility for...

  20. 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.

  1. 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.

  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. 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.

  8. 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。

  9. 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。

  10. 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。

  11. 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。

  12. 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。

  13. 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.

  14. Religious self-beliefs and coping among vending adolescent in harare.

    Science.gov (United States)

    Mhizha, Samson

    2014-10-01

    The present study sought to explore the relationship between vending childhood and adolescent religious self-beliefs and religious coping among vending children in Harare, Zimbabwe. The research objectives were to investigate the nature of religious self-beliefs and religious coping among vending children in Harare. A psychoethnographic research design was employed in this study. This involved collection of data for a sustained period in the context within which the participants live. A total of 20 participants took part in this study. Key informant interviews, focus group discussions, in-depth interviews, participant and non-participant observations were the data collection methods. Thematic content analysis was used for analysing the data. Data analysis revealed largely negative religious self-beliefs. Most vending adolescent children believed that they were controlled and influenced by evil spirits. The vending children believed that faith healing and spiritual cleansing by prophets and Pentecostal pastors could solve their spiritual, judicial and economic problems. Religion seemed to be able to provide meaning to lives and as a viable coping mechanism among the vending children.

  15. 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 .

  16. 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.

  17. 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...

  18. 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.

  19. [Fatal explosion injuries from blasting a cigarette machine].

    Science.gov (United States)

    Madea, Burkhard; Ridwan, Hani; Längin, Volker; Doberentz, Elke

    2016-01-01

    In the last few years, a growing number of cases have been reported in Germany in which vending machines have been blasted by criminals to get at the money. Thus, it was only a question of time for the first fatalities to occur as a consequence of such careless explosions. We report on the death of a 16-year-old boy who died after triggering an explosion by spraying a deodorant into the coin slot of a cigarette machine. Death was caused by severe craniocerebral trauma due to tertiary blast-related injuries when the front plate of the machine hit the victim's cerebral and facial skull.

  20. 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.

  1. 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.

  2. 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.

  3. 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.

  4. 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。

  5. 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。

  6. 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.

  7. 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.

  8. 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。

  9. 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.

  10. 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.

  11. 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

  12. 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.

  13. 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

  14. "Nutritional Wastelands": Vending Machines, Fast Food Outlets, and the Fight over Junk Food in Canadian Schools.

    Science.gov (United States)

    Gidney, Catherine

    2015-01-01

    In light of a growing obesity crisis among children and concern about junk food in schools, this article investigates the attempt by food and beverage companies to gain entry into Canadian schools. Focusing in particular on the introduction of fast-food franchises in cafeterias and on school boards' secret exclusivity deals with soft drink manufacturers in the 1990s, it examines how and why this process occurred, public reactions to it, and government responses. Placing this phenomenon within a larger pattern of commercialization in North American schools, it argues that long-lasting reforms require government intervention and enforcement.

  15. Soft Drink Vending Machines in Schools: A Clear and Present Danger

    Science.gov (United States)

    Price, James; Murnan, Judy; Moore, Bradene

    2006-01-01

    This paper examines the availability of soft drinks in schools ("pouring rights contracts") and its effects on the growing nutritional problems of American youth. Of special concern is the prevalence of overweight youth, which has been increasing at alarming rates. There has been a direct relationship found between soft drink consumption and…

  16. 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.

  17. 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

  18. 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)

  19. 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。

  20. 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。

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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.

  7. 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.

  8. Assessment of physicochemical characteristics and hygienic practices along the value chain of raw fruit juice vended in Dar es Salaam City, Tanzania.

    Science.gov (United States)

    Nonga, Hezron E; Simforian, Edeltruds A; Ndabikunze, Bernadette K

    2014-10-01

    Fresh fruit juice is an essential component of human diet and there is considerable evidence of health and nutritional benefits. However, nature of the fruits used in juicing and unhygienic processes in the value chain may cause poor quality of juice. This cross- sectional study was conducted to assess physicochemical characteristics and hygienic practices along the value chain of raw fruit juice vended in Dar es Salaam, Tanzania. A total of 90 juice vendors were interviewed. Ninety juice samples were collected and analysed for physicochemical quality. The pH of juices ranged between 2.7 and 6.4, acidity 0.01% and 1.3% and, total soluble solids ranged between -1.5 and 18.04 °Brix. Most juices (67.8%) had -Brix levels below Codex recommended values classified as weak and watery. Juices were made of mango, passion, tamarind, sugar cane and mixture of these fruits sourced from open markets in the city. Water for washing of fruits and dilution of juices was from deep wells (53.3%) and taps (46.7%). About one third (37.8%) of the juice vendors didn't wash the fruits before juicing and 44.4% didn't boil water for juice dilution. Juice extraction was done by kitchen blenders, boiling in water and squeezing by simple machines. Juice pasteurization was not done. The majority of vendors (78.9%) stored juices in plastic buckets and juice was sold in glass cups, reused plastic bottles and disposable cups. Vending sites were restaurants, bus stands and along roadsides. The majority of premises (78.9%) were in unhygienic condition that likely encouraged or introduced contaminants to the juices. It is concluded that, the overall handling, preparation practices and physicochemical quality of raw fruit juices vended in Dare es Salaam City are poor. The government should educate the vendors on food safety and hygiene as well as enforcing regular monitoring of the quality of street fruit juices.

  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. Vending Facility Program for the Blind on Federal Property

    Science.gov (United States)

    1978-04-07

    fully automatic, self- service, or have limited waiter or waitress service. Table or booth seating facilities are always provided. DoD Component food...and other property. 0. SUBSTANTIAL ALTERATION OR RENOVATION A permanent material change in the floor area of a building which would render it...Resources Little Rock, Arkansas 72203 122 C Street, N.W. - 8th Floor (501) 371-2571 Washington, D. C. 20001 (202) 629-5896 California Florida Director

  11. 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.

  12. 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

  13. Presidendi vend : loobuge maasturist - sellega sõites toetate Iraani valitsust! / Allar Viivik

    Index Scriptorium Estoniae

    Viivik, Allar

    2008-01-01

    Tallinnas toimunud president Lennart Meri nimelisel konverentsil esines ka president Toomas Hendrik Ilvese vend Andres Ilves, kes juhib BBC pärsia- ja puštukeelsete saadete toimetust. Andres Ilves ütles, et nafta kõrge hind on põhiline, mis Iraani valitsust tugevdab. Konverentsi korraldaja, Rahvusvahelise Kaitseuuringute Keskuse juht Kadri Liik leiab, et A. Ilvest osundati valesti. Eesti tuntud džiibiomanikud oma sõidukitest loobuda ei kavatse

  14. 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

  15. 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.

  16. 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

  17. 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.

  18. Identification of specific microorganisms in fresh squeezed street vended fruit juices

    Directory of Open Access Journals (Sweden)

    K Sahithi Reddy

    2016-01-01

    Full Text Available Introduction: In developing country like India, street foods such as salads and fresh cut fruits are widely consumed. Among all street foods, fruit juices are common beverages, consumed more because of higher consumer preference both in terms of taste and health. Moreover, there is a dearth of Indian studies on contamination of street vended fruit juices. Aim: To determine the pH and specific microorganisms in freshly squeezed street vended fruit juices. Materials and Methods: Four fruit juices i.e., Grapes, Sweet Lime, Pineapple and Sapota were chosen for the study. Juices were collected in summer season in months between April and June 2013. Ten samples of 50 ml each fruit juice was collected in sterile bottles from various street vendors of Dilshuknagar area of Hyderabad city. Transportation of samples to Food Toxicology laboratory, National Institute of Nutrition was done in the ice box and processing was done within 2–4 h. Results: All juices showed bacterial contamination except one sample of grape juice. Pineapple juice samples showed the high bacterial contamination with all samples positive for fecal coliforms and Shigella spp. (100%. Salmonella spp. was detected only in one sample of Sapota juice (10%. Significant difference among fruit juices for prevalence of microorganisms was seen only for Escherichia coli (P = 0.03 with least count in Grape juice (20%. Conclusion: Freshly squeezed street vended fruit juices were contaminated with pathogenic bacteria, which significantly attributed to public health problem.

  19. 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.

  20. 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。

  1. 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.

  2. 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

  3. 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

  4. 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.

  5. 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.

  6. 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.

  7. 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.

  8. 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。

  9. 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.

  10. 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。

  11. 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.

  12. 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...

  13. 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

  14. 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...

  15. 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.

  16. 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

  17. Survey of physicochemical characteristics and microbial contamination in selected food locally vended in Morogoro Municipality, Tanzania.

    Science.gov (United States)

    Nonga, Hezron Emmanuel; Ngowi, Helena Aminiel; Mdegela, Robinson Hammerthon; Mutakyawa, Eliud; Nyahinga, Gabriel Busungu; William, Robert; Mwadini, Mtumwa Mohd

    2015-11-26

    Raw milk, raw fruit juice and raw fish are enriched with essential nutrients for human diet but are prone to microbial contamination along the value chain. This cross sectional study was conducted to assess physicochemical characteristics and microbial quality of raw milk, fruit juice and fish from food vendors in Morogoro Municipality, Tanzania. The physicochemical assessment of food samples was done by smell, colour, presence of debris, turbidity, consistence, pH and clot on alcohol test. Hygiene of food containers, personnel and the vending environment was also assessed. Qualitative and quantitative microbial assessment of food was done using standard laboratory protocols as described by Tanzania Bureau of Standards and International Systems of Standards. Raw milk sold in Morogoro was of poor quality since was adulterated with water, contained sediments and clotted on alcohol test. Up to 63 % of the milk samples were contaminated with Escherichia coli and 60 % had higher total viable count (TVC) than the recommended values. Raw fruit juice was stored in dirty containers and sold under unhygienic environment. Seventy-three percent of juice samples had TVC beyond the recommendations while E. coli contamination rate was 63.3 %. The raw fish samples had started spoiling as depicted through sensory evaluation. E. coli contamination rate was 55 % and that of Campylobacter jejuni was 0.5 %. The mean TVC of raw fish was 8.1 (Log cfu/g) and 96.2 % of the fish samples had TVC beyond the recommended limits of 5.0 Log cfu/g. The physicochemical characteristics of food vended in Morogoro Municipality were of poor quality. The food had high bacterial contaminations. This situation poses health risks to the public and losses to food vendors due to spoilage. Stakeholders in food value chain should be educated on safe production and good hygienic practices. Routine quality and safety assessment of locally vended food, inspection of selling premises and regular health check-up of

  18. 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.

  19. 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.

  20. 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.

  1. Listeria spp. in Street-Vended Ready-to-Eat Foods

    Directory of Open Access Journals (Sweden)

    Moustafa El-Shenawy

    2011-01-01

    Full Text Available Street-vended ready-to-eat food sold in Egypt, including sandwiches and dishes of traditional food, was examined for the presence of Listeria species. Out of 576 samples, 24% were found to contain Listeria species. L. monocytogenes and L. innocua were isolated from 57% and 39% of the contaminated samples, respectively. Other Listeria spp. were detected with lower frequency. L. monocytogenes of ≥103 CFU/g were detected in 7% of the total examined samples, which represent 49% of the contaminated food samples (meat, poultry, seafood, dairy products, and products of plant origin. Most of the samples contaminated by L. monocytogenes had high levels of total viable bacterial counts. The results obtained may help to clarify the epidemiology of listeriosis in the country and draw the attention of the decision makers to issue hygienic regulations for food processing industries as well as street vendors in order to ensure safe street-vended ready-to-eat food.

  2. 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.

  3. 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.

  4. 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%.

  5. 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 .

  6. 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.

  7. 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

  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. Pla de Viabilitat d’una empresa de suport de vendes de vi

    OpenAIRE

    Liabeuf, Jessica

    2008-01-01

    El present projecte presenta un pla de negoci d‟una empresa que té com a principal missió donar suport a productors de vi per incrementar les seves vendes. La proposta general de pla d‟empresa està formada per les següents elements:  Estudi de la cadena de valor del sector Presentació de l‟empresa a través de l‟ idea de negoci, quin avantatge competitiu posa per las seva missió Anàlisi de l‟entorn político-legal, social i econòmic, així com de l‟entorn específic de l‟empresa i els seus compe...

  10. La préhistoire en Vendée de la pierre au bronze

    OpenAIRE

    Le Roux, Charles-Tanguy

    2012-01-01

    La Vendée est un département à l’identité forte mais multiforme, très proche de la Bretagne et de la basse vallée de la Loire au nord mais évoquant déjà le Bassin Aquitain dans sa partie méridionale tandis que, d’est en ouest, on passe des collines des Mauges à une alternance de grandes plages, de falaises basses et de zones marécageuses. Ce faible relief du littoral comme des fonds marins qui le précèdent va de pair avec une grande instabilité du trait de côte en fonction de l’érosion-sédime...

  11. 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.

  12. Biotyping of Bacillus cereus from the street vended Foods in Srinagar area of Kashmir

    Directory of Open Access Journals (Sweden)

    Yasir Hafeez

    Full Text Available Aim: The present study was undertaken to describe the biotyping of Bacillus cereus isolated from different street vended mutton tikka and chutney samples. Materials and Methods: A total of 100 street vended food samples comprising of 60 mutton tikka and 40 chutney samples were tested. Results: The biotype 3 and biotype 4 showed the highest occurrence with, 29.63% and 25.93% isolates falling in these biotypes, respectively. The percentage occurrence of the biotypes 1, 6, 2, 5, and 7 was 14.81%, 11.11%, 7.40%, 7.40% and 3.84%, respectively. The most common found biotypes in Mutton tikka were biotypes 3(29.63%, 4(25.93%, 1(14.81% and 6(11.11%. The Bacillus cereus strains isolated from chutney samples could be divided into 7 of the 9 possible biotypes. The biotypes 6 and 7 showed the highest occurrence with 38.46% and 30.76% falling in these biotypes, respectively. The biotype 5 and 2 were prevalent to the extent of 23.07%, 7.69%, respectively. The biotypes 3, 4 and 1 were absent. The mean bacterial count of 60 mutton tikka and 40 chutney samples was 4.6817 and 5.6575 log cfu/g. 10 Conclusion: The field isolates and the standard strains of Bacillus cereus had similar cultural, morphological and biochemical characteristics. The biotypes recovered from the Mutton tikka samples were biotypes 3, 4, 1 and 6 and in chutneys the biotypes recovered were 6, 7, 5 and 2. The strains of Bacillus cereus were highly resistant to penicillin G (92.59%. [Vet World 2012; 5(10.000: 590-593

  13. 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.

  14. 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...

  15. 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.

  16. 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.

  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. 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.

  20. 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

  1. 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.

  2. 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

  3. 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.

  4. 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.

  5. 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.

  6. MICROBIAL CONTAMINATION OF STREET VENDED FOODS FROM A UNIVERSITY CAMPUS IN BANGLADESH.

    Science.gov (United States)

    Islam, Sufia; Nasrin, Nishat; Rizwan, Farhana; Nahar, Lutfun; Bhowmik, Adity; Esha, Sayma Afrin; Talukder, Kaisar Ali; Akter, Mahmuda; Roy, Ajoy; Ahmed, Muniruddin

    2015-05-01

    The microbiological quality of street vended food samples from Dhaka, Bangladesh was evaluated. The objective of the study was to identify the presence of common pathogens (Escherichia coli, Shigella spp, Salmonella and Vibrio spp) and to describe the molecular characterization of E coli, a commonly found pathogen in various street foods. Fifty food samples were collected from fixed and mobile vendors from two sampling locations (Mohakhali and Aftabnagar) in Dhaka city, Bangladesh. The tested samples included deep fried and fried snacks; quick lunch items; pickles; fruit chutney; baked items; spicy, sour and hot snacks etc: Juices, tamarind water and plain drinking water were also tested. Sterile polythene bags were used for collecting 200 g of each category of samples. They were tested for the presence of microorganisms following conventional microbiological processes. Biochemical tests followed by serology were done for the confirmation of Shigella and Salmonella. Serological reaction was carried out for confirmation of Vibrio spp. DNA was isolated for the molecular characterization to detect the pathogenic E. coli by polymerase chain reaction (PCR). Out of 50 food samples, six (12%) were confirmed to contain different species of E. coli and Shigella. Molecular characterization of E. coli revealed that three samples were contaminated with enteroaggregative E. coli (EAEC) and one was contaminated with enterotoxigenic E. coli (ETEC). Shigellaflexneri X variant was detected in one food item and Shigella flexneri 2a was found in drinking water. All these enteric pathogens could be the potential cause for foodborne illnesses.

  7. 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.

  8. 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…

  9. 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…

  10. 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.

  11. 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 ...

  12. 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.

  13. 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

  14. 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.

  15. 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.

  16. Microbiological quality of selected street food items vended by school-based street food vendors in Dhaka, Bangladesh.

    Science.gov (United States)

    Al Mamun, Mohammad; Rahman, Shah Mahfuzur; Turin, Tanvir Chowdhury

    2013-09-16

    A cross sectional study was conducted to assess the microbiological quality of local food items vended by the school-based street food vendors in Dhaka City. A total of 80 schools from 19 school-zones of Dhaka City and its outskirts were chosen for the study. A total of 110 food samples, one each from 110 school-based street food vendors, were collected for laboratory analysis. Face to face interviews were conducted with the food vendors using a pre-tested questionnaire. The food samples were analyzed for coliform counts in the Public Health Laboratory, Institute of Public Health, Dhaka, which is a national level central food testing laboratory in Bangladesh. Microbiological criteria recommended by the International Commission on Microbiological Specifications for Foods (ICMSF) were considered to classify food samples as 'satisfactory' (total coliforms food vendors with the presence of unsatisfactory levels of coliforms in their food items. Of the 110 school-based street food samples analyzed in the laboratory, 44% were unsatisfactory. Among different items of street vended foods, 54% of sliced fruits samples, 59% of jhalmuri samples, 29% of chotpotis samples, 53% of vajavuji samples, and all (100%) sharbat samples were unsatisfactory, while all samples from achar (100%) and ice cream (100%) were found to be satisfactory. Logistic regression models showed that the food samples collected from the vendors belonging to the age group '15-24 years' and the vendors possessing an educational status higher than primary level were less likely to be unsatisfactory, while the food samples collected from the vendors having a daily income of more than 200 Bangladeshi Taka (equivalent to 3.00 USD) were more likely to be unsatisfactory. Our study findings reflected poor microbiological quality for a considerable proportion of the school-based street vended foods indicating a health threat to the school children of Dhaka City.

  17. 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.

  18. 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.

  19. 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.

  20. 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.

  1. 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.

  2. Impact of Water-Vending Kiosks and Hygiene Education on Household Drinking Water Quality in Rural Ghana

    Science.gov (United States)

    Opryszko, Melissa C.; Guo, Yayi; MacDonald, Luke; MacDonald, Laura; Kiihl, Samara; Schwab, Kellogg J.

    2013-01-01

    Innovative solutions are essential to improving global access to potable water for nearly 1 billion people. This study presents an independent investigation of one alternative by examining for-profit water-vending kiosks, WaterHealth Centers (WHCs), in rural Ghana to determine their association with household drinking water quality. WHCs' design includes surface water treatment using filtration and ultraviolet light disinfection along with community-based hygiene education. Analyses of water samples for Escherichia coli and household surveys from 49 households across five villages collected one time per year for 3 years indicate that households using WHCs had improved water quality compared with households using untreated surface water (adjusted incidence rate ratio = 0.07, 95% confidence interval = 0.02, 0.21). However, only 38% of households used WHCs by the third year, and 60% of those households had E. coli in their water. Recontamination during water transport and storage is an obstacle to maintaining WHC-vended water quality. PMID:23382168

  3. Safety assessment of street vended juices in Multan-Pakistan: A study on prevalence levels of trace elements

    Directory of Open Access Journals (Sweden)

    Saeed Akhtar

    2015-08-01

    Full Text Available Street vended juices are most commonly available, accessible and economical nutritional food sources of poor slums in developing economies like Pakistan. Study was undertaken to elucidate impact of industrialization, agro chemicals induction in agronomic practices and food processing hygiene measurements on food chain heavy metals intoxication. If overlooked, certain quality risks associated either with fresh produce or processed commodity might initiate food intoxication.In order to understand gravity of the issue, street vended freshly drawn juices extracted from the food crops (orange, sugarcane, carrot and mango cultivated in Southern Punjab peri-urban areas and country sides were evaluated for microelements and heavy metals load in summer and winter 2012. The safety study of juices depicted higher concentration of lead (Pb and cadmium (Cd breaching international safety limits implemented in the country. However some microelements (Fe, Zn, Mn were found below the prescribed maximum tolerant limits. The study concluded prevalence of higher concentration of some toxic heavy metals as a serious breach of threshold levels potentially compromising consumer’s safety.

  4. 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.

  5. 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...

  6. 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...

  7. 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.

  8. 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.

  9. 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.

  10. 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.

  11. 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。

  12. 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.

  13. 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.

  14. 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.

  15. 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

  16. 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...

  17. 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.

  18. 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.

  19. 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.

  20. 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.

  1. 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.

  2. 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.

  3. 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.

  4. 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。

  5. 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, ...

  6. 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...

  7. 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...

  8. 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。

  9. 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

  10. 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.

  11. 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.

  12. 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 .

  13. Co-authoring History: Montpellier, the Vendée, and the Co-authorship of the Sources

    Directory of Open Access Journals (Sweden)

    István M. Szijártó

    2013-10-01

    Full Text Available The discourses of literature and history are generally regarded as two distinct genres. This essay sets out to investigate the use of fictitious, that is, the invented, as well as real elements, in addition to narrative tools in some literary and historical texts to examine whether there is evidence for a fundamental difference between them in this respect. In the first half of the article, from the juxtaposition of Merle’s historical novel, En nos vertes années, to Le Roy Ladurie’s The Beggar and the Professor, we shall see that real and fictitious elements are also interwoven in Merle’s text, just as history uses fictitious elements, necessarily and tacitly, or, in some works, in a rather provocative way. In the second half of this essay, in examining literary and historical narratives of the counter-revolution in the Vendée, it will become evident that historians also use the same narrative techniques as writers to orientate readers. While these findings would confound the normative distinction between history and literature, we cannot, however, finally conclude that there is no fundamental difference between literary fiction and history. Arguing against Alun Munslow, who claims in Authoring the Past that “’doing history’ is an authorial activity,” this present article tries to argue that, while in many aspects writing history is indistinguishable from writing fiction, the historian has co-authors: the sources themselves may enter the process of writing history. This is a conclusion that emerges from the analysis of Simon Schama’s Citizens. His text about the revolt in the Vendée points to a potential advantage of history when compared to literary fiction: historians may feel obliged to change their original point of view under the burden of the fact they themselves have enumerated—something we can call the latent but inherent co-authorship of the sources in historical narratives.

  14. 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.

  15. 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.

  16. 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.

  17. 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.

  18. 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 ...

  19. 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...

  20. 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...

  1. 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

  2. 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%.

  3. The prevalence of the electrocardiographic J wave in the Petit Basset Griffon Vendéen compared to 10 different dog breeds

    DEFF Research Database (Denmark)

    Rudling, E. H.; Schlamowitz, Sarah; Pipper, Christian Bressen

    2016-01-01

    INTRODUCTION: To investigate the prevalence and amplitudes of the electrocardiographic J wave in the Petit Basset Griffon Vendéen compared to 10 other dog breeds. ANIMALS: Electrocardiograms from 206 healthy dogs representing 11 dog breeds were included in the study. Besides Petit Basset Griffon...... Vendéen (PBGV; n = 23) 10 other dog breeds were included. MATERIALS AND METHODS: An electrocardiogram ruler was used for measuring the amplitudes of the J waves. The definition of a J wave was a positive deflection at the J point of ≥0.1 mV in more than 1 lead of the bipolar standard limb leads (I, II......, III) or the unipolar standard limb leads (aVL and aVF). RESULTS: The prevalence of J waves in the PBGV (n = 23) was 91% (n = 21, standard error (SE) = 5.9%), which was significantly higher compared to seven other dog breeds (p dog breeds (n = 206...

  4. Development of remote-controlled forest machine; Kauko-ohjattavan harvennuskoneen kehittaeminen

    Energy Technology Data Exchange (ETDEWEB)

    Kerva, J. [VTT Automation, Oulu (Finland); Vesisenaho, T. [Vapo Oy, Jyvaeskylae (Finland)

    1998-12-01

    The aim of the project is to develop a forest machine for the first thinnings. The machine will be light and it will reduce damages of the ground compared to damages caused by normal forest machines. The machine will be operated by wireless remote controller and the machine will not have any cabin. Anti-slip wheel control system will be used in order to improve driving in forest. Automatic and semi-automatic operations of workboom control will be included in order to make the working with the machine more efficient and easy. Compared to normal size forest machines, the machine developed in the project will offer more economic solution for the first thinnings. (orig.)

  5. Tradition of healthy food access in low-income neighborhoods: Price and variety of curbside produce vending compared to conventional retailers

    OpenAIRE

    Brinkley, Catherine; Chrisinger, Benjamin; Hillier, Amy

    2013-01-01

    This paper describes the longstanding, naturally emergent model of curbside vending of whole fruit and vegetable produce across several low-income, low-health Philadelphia neighborhoods. We conducted open-ended interviews with managers of 11 curbside produce vendors and compared prices and varieties of fruits and vegetables with the 11 closest conventional outlets. We find that produce trucks offer significantly lower prices on common fruit and vegetable items and they carry a variety of item...

  6. Design principles of metal-cutting machine tools

    CERN Document Server

    Koenigsberger, F

    1964-01-01

    Design Principles of Metal-Cutting Machine Tools discusses the fundamentals aspects of machine tool design. The book covers the design consideration of metal-cutting machine, such as static and dynamic stiffness, operational speeds, gearboxes, manual, and automatic control. The text first details the data calculation and the general requirements of the machine tool. Next, the book discusses the design principles, which include stiffness and rigidity of the separate constructional elements and their combined behavior under load, as well as electrical, mechanical, and hydraulic drives for the op

  7. 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

  8. Automatic Inference of Cryptographic Key Length Based on Analysis of Proof Tightness

    Science.gov (United States)

    2016-06-01

    the general number field sieve (GNFS) algorithm [23]. 16 CHAPTER 4: Concept of Operations and Design In this chapter we discuss concept of operations...maintaining and automatically reasoning about these expanded attack trees. We provide a software tool that utilizes machine -readable proof and attack metadata...for maintaining and automatically reasoning about these expanded attack trees. We provide a software tool that utilizes machine -readable proof and

  9. Automation of printing machine

    OpenAIRE

    Sušil, David

    2016-01-01

    Bachelor thesis is focused on the automation of the printing machine and comparing the two types of printing machines. The first chapter deals with the history of printing, typesettings, printing techniques and various kinds of bookbinding. The second chapter describes the difference between sheet-fed printing machines and offset printing machines, the difference between two representatives of rotary machines, technological process of the products on these machines, the description of the mac...

  10. Pattern-Driven Automatic Parallelization

    Directory of Open Access Journals (Sweden)

    Christoph W. Kessler

    1996-01-01

    Full Text Available This article describes a knowledge-based system for automatic parallelization of a wide class of sequential numerical codes operating on vectors and dense matrices, and for execution on distributed memory message-passing multiprocessors. Its main feature is a fast and powerful pattern recognition tool that locally identifies frequently occurring computations and programming concepts in the source code. This tool also works for dusty deck codes that have been "encrypted" by former machine-specific code transformations. Successful pattern recognition guides sophisticated code transformations including local algorithm replacement such that the parallelized code need not emerge from the sequential program structure by just parallelizing the loops. It allows access to an expert's knowledge on useful parallel algorithms, available machine-specific library routines, and powerful program transformations. The partially restored program semantics also supports local array alignment, distribution, and redistribution, and allows for faster and more exact prediction of the performance of the parallelized target code than is usually possible.

  11. Automatic Fiscal Stabilizers

    Directory of Open Access Journals (Sweden)

    Narcis Eduard Mitu

    2013-11-01

    Full Text Available Policies or institutions (built into an economic system that automatically tend to dampen economic cycle fluctuations in income, employment, etc., without direct government intervention. For example, in boom times, progressive income tax automatically reduces money supply as incomes and spendings rise. Similarly, in recessionary times, payment of unemployment benefits injects more money in the system and stimulates demand. Also called automatic stabilizers or built-in stabilizers.

  12. Cooperative Human-Machine Fault Diagnosis

    Science.gov (United States)

    Remington, Roger; Palmer, Everett

    1987-02-01

    Current expert system technology does not permit complete automatic fault diagnosis; significant levels of human intervention are still required. This requirement dictates a need for a division of labor that recognizes the strengths and weaknesses of both human and machine diagnostic skills. Relevant findings from the literature on human cognition are combined with the results of reviews of aircrew performance with highly automated systems to suggest how the interface of a fault diagnostic expert system can be designed to assist human operators in verifying machine diagnoses and guiding interactive fault diagnosis. It is argued that the needs of the human operator should play an important role in the design of the knowledge base.

  13. Automatic differentiation bibliography

    Energy Technology Data Exchange (ETDEWEB)

    Corliss, G.F. (comp.)

    1992-07-01

    This is a bibliography of work related to automatic differentiation. Automatic differentiation is a technique for the fast, accurate propagation of derivative values using the chain rule. It is neither symbolic nor numeric. Automatic differentiation is a fundamental tool for scientific computation, with applications in optimization, nonlinear equations, nonlinear least squares approximation, stiff ordinary differential equation, partial differential equations, continuation methods, and sensitivity analysis. This report is an updated version of the bibliography which originally appeared in Automatic Differentiation of Algorithms: Theory, Implementation, and Application.

  14. Machine musicianship

    Science.gov (United States)

    Rowe, Robert

    2002-05-01

    The training of musicians begins by teaching basic musical concepts, a collection of knowledge commonly known as musicianship. Computer programs designed to implement musical skills (e.g., to make sense of what they hear, perform music expressively, or compose convincing pieces) can similarly benefit from access to a fundamental level of musicianship. Recent research in music cognition, artificial intelligence, and music theory has produced a repertoire of techniques that can make the behavior of computer programs more musical. Many of these were presented in a recently published book/CD-ROM entitled Machine Musicianship. For use in interactive music systems, we are interested in those which are fast enough to run in real time and that need only make reference to the material as it appears in sequence. This talk will review several applications that are able to identify the tonal center of musical material during performance. Beyond this specific task, the design of real-time algorithmic listening through the concurrent operation of several connected analyzers is examined. The presentation includes discussion of a library of C++ objects that can be combined to perform interactive listening and a demonstration of their capability.

  15. Development of remote controlled forest machine. Final report; Kauko-ohjattavan harvennuskoneen kehittaeminen. Loppuraportti

    Energy Technology Data Exchange (ETDEWEB)

    Kerva, J.; Lippo, J. [VTT Automation, Oulu (Finland); Nousiainen, I.; Oijala, T.; Vesisenaho, T. [VTT Energy, Jyvaeskylae (Finland)

    1999-07-01

    The aim of the project was to develop the prototype for the forest machine for the first state thinning. The machine is light and it will reduce the damages of the ground compared to damages caused by normal forest machines. The prototype is operated by wireless remote controller and there is no cabinet. To improve driving in the forest, anti-slip wheel control system is used. To make working with the machine more efficient and easy, automatic and semiautomatic operations in workboom control are included. Compared to normal size forest machines the machine developed in the project can give more economic solution for first state thinning. (orig.)

  16. Empirical evaluation of three machine learning method for automatic classification of neoplastic diagnoses Evaluación empírica de tres métodos de aprendizaje automático para clasificar automáticamente diagnósticos de neoplasias

    Directory of Open Access Journals (Sweden)

    José Luis Jara

    2011-12-01

    Full Text Available Diagnoses are a valuable source of information for evaluating a health system. However, they are not used extensively by information systems because diagnoses are normally written in natural language. This work empirically evaluates three machine learning methods to automatically assign codes from the International Classification of Diseases (10th Revision to 3,335 distinct diagnoses of neoplasms obtained from UMLS®. This evaluation is conducted on three different types of preprocessing. The results are encouraging: a well-known rule induction method and maximum entropy models achieve 90% accuracy in a balanced cross-validation experiment.Los diagnósticos médicos son una fuente valiosa de información para evaluar el funcionamiento de un sistema de salud. Sin embargo, su utilización en sistemas de información se ve dificultada porque éstos se encuentran normalmente escritos en lenguaje natural. Este trabajo evalúa empíricamente tres métodos de Aprendizaje Automático para asignar códigos de acuerdo a la Clasificación Internacional de Enfermedades (décima versión a 3.335 diferentes diagnósticos de neoplasias extraídos desde UMLS®. Esta evaluación se realiza con tres tipos distintos de preprocesamiento. Los resultados son alentadores: un conocido método de inducción de reglas de decisión y modelos de entropía máxima obtienen alrededor de 90% accuracy en una validación cruzada balanceada.

  17. Electrical machines mathematical fundamentals of machine topologies

    CERN Document Server

    Gerling, Dieter

    2015-01-01

    Electrical Machines and Drives play a powerful role in industry with an ever increasing importance. This fact requires the understanding of machine and drive principles by engineers of many different disciplines. Therefore, this book is intended to give a comprehensive deduction of these principles. Special attention is given to the precise mathematical derivation of the necessary formulae to calculate machines and drives and to the discussion of simplifications (if applied) with the associated limits. The book shows how the different machine topologies can be deduced from general fundamentals, and how they are linked together. This book addresses graduate students, researchers, and developers of Electrical Machines and Drives, who are interested in getting knowledge about the principles of machine and drive operation and in detecting the mathematical and engineering specialties of the different machine and drive topologies together with their mutual links. The detailed - but nevertheless compact - mat...

  18. 基于频率切片小波变换和支持向量机的癫痫脑电信号自动检测∗%Automatic seizure detection of electro encephalogram signals based on frequency slice wavelet transform and supp ort vector machine

    Institute of Scientific and Technical Information of China (English)

    张涛; 陈万忠; 李明阳

    2016-01-01

    实现癫痫脑电信号的自动检测对癫痫的临床诊断和治疗具有重要意义.本文提出先使用频率切片小波变换分离出5个不同频段的节律信号,再分别计算每个节律信号的近似熵和相邻节律的波动指数,最后使用遗传算法优化的支持向量机进行分类.实验结果表明,所提出的方法能够对正常、癫痫发作间期和癫痫发作期三种脑电信号进行准确分类,分类准确率为98.33%.%Over 50 million people all over the world are suffering from epilepsy. It is of great significance to achieve automatic seizure detection in electroencephalogram (EEG) signal for clinical diagnosis and treatment. In order to achieve automatic diagnosis of epilepsy, a multitude of automated computer aided diagnostic techniques have been proposed. However, only a few of studies lay emphasis on the effects of different rhythm signals. To explore the influence of rhythm signals on classification accuracy, a newly-developed time-frequency analysis method called frequency slice wavelet transform (FSWT), which is able to locate arbitrary time-frequency range with the use of frequency slice function and whose inverse transformation only relies on fast Fourier transform, is employed to extract five different rhythm signals, namelyδ (0.5–4 Hz), θ (4–8 Hz), α (8–13 Hz), β (13–30 Hz) and γ (30–50 Hz) from original EEG signal. Subsequently, for extracting the nonlinear and linear features, the approximate entropy of each rhythm signal and fluctuation index of adjacent rhythm signals are calculated to reflect the variation characteristics of rhythm signals and they are flocked together to form the nine-dimensional feature vectors. Finally, the extracted vectors are fed into a support vector machine (SVM) which is optimized by genetic algorithms (GA) for classification. Specifically, since the parameters of SVM are associated with the final classification accuracy and appropriate parameters could

  19. Laser machining of advanced materials

    CERN Document Server

    Dahotre, Narendra B

    2011-01-01

    Advanced materialsIntroductionApplicationsStructural ceramicsBiomaterials CompositesIntermetallicsMachining of advanced materials IntroductionFabrication techniquesMechanical machiningChemical Machining (CM)Electrical machiningRadiation machining Hybrid machiningLaser machiningIntroductionAbsorption of laser energy and multiple reflectionsThermal effectsLaser machining of structural ceramicsIntrodu

  20. Mediation and Automatization.

    Science.gov (United States)

    Hutchins, Edwin

    This paper discusses the relationship between the mediation of task performance by some structure that is not inherent in the task domain itself and the phenomenon of automatization, in which skilled performance becomes effortless or phenomenologically "automatic" after extensive practice. The use of a common simple explicit mediating…

  1. Automatic Differentiation Package

    Energy Technology Data Exchange (ETDEWEB)

    2007-03-01

    Sacado is an automatic differentiation package for C++ codes using operator overloading and C++ templating. Sacado provide forward, reverse, and Taylor polynomial automatic differentiation classes and utilities for incorporating these classes into C++ codes. Users can compute derivatives of computations arising in engineering and scientific applications, including nonlinear equation solving, time integration, sensitivity analysis, stability analysis, optimization and uncertainity quantification.

  2. Digital automatic gain control

    Science.gov (United States)

    Uzdy, Z.

    1980-01-01

    Performance analysis, used to evaluated fitness of several circuits to digital automatic gain control (AGC), indicates that digital integrator employing coherent amplitude detector (CAD) is best device suited for application. Circuit reduces gain error to half that of conventional analog AGC while making it possible to automatically modify response of receiver to match incoming signal conditions.

  3. Focusing Automatic Code Inspections

    NARCIS (Netherlands)

    Boogerd, C.J.

    2010-01-01

    Automatic Code Inspection tools help developers in early detection of defects in software. A well-known drawback of many automatic inspection approaches is that they yield too many warnings and require a clearer focus. In this thesis, we provide such focus by proposing two methods to prioritize

  4. Computerized Interactive Gaming via Supporting Vector Machines

    OpenAIRE

    Jiang, Yang; Jiang, Jianmin; Palmer, Ian

    2008-01-01

    Computerized interactive gaming requires automatic processing of large volume of random data produced by players on spot, such as shooting, football kicking, and boxing. This paper describes a supporting vector machine-based artificial intelligence algorithm as one of the possible solutions to the problem of random data processing and the provision of interactive indication for further actions. In comparison with existing techniques, such as rule-based and neural networks, and so forth, our S...

  5. The deleuzian abstract machines

    DEFF Research Database (Denmark)

    Werner Petersen, Erik

    2005-01-01

    production. In Kafka: Toward a Minor Literature, Deleuze and Guatari gave the most comprehensive explanation to the abstract machine in the work of art. Like the war-machines of Virilio, the Kafka-machine operates in three gears or speeds. Furthermore, the machine is connected to spatial diagrams...

  6. Automatic Recognition of Facial Actions in Spontaneous Expressions

    Directory of Open Access Journals (Sweden)

    Marian Stewart Bartlett

    2006-09-01

    Full Text Available Spontaneous facial expressions differ from posed expressions in both which muscles are moved, and in the dynamics of the movement. Advances in the field of automatic facial expression measurement will require development and assessment on spontaneous behavior. Here we present preliminary results on a task of facial action detection in spontaneous facial expressions. We employ a user independent fully automatic system for real time recognition of facial actions from the Facial Action Coding System (FACS. The system automatically detects frontal faces in the video stream and coded each frame with respect to 20 Action units. The approach applies machine learning methods such as support vector machines and AdaBoost, to texture-based image representations. The output margin for the learned classifiers predicts action unit intensity. Frame-by-frame intensity measurements will enable investigations into facial expression dynamics which were previously intractable by human coding.

  7. The Employment Effects of High-Technology: A Case Study of Machine Vision. Research Report No. 86-19.

    Science.gov (United States)

    Chen, Kan; Stafford, Frank P.

    A case study of machine vision was conducted to identify and analyze the employment effects of high technology in general. (Machine vision is the automatic acquisition and analysis of an image to obtain desired information for use in controlling an industrial activity, such as the visual sensor system that gives eyes to a robot.) Machine vision as…

  8. Agile Machining and Inspection Non-Nuclear Report (NNR) Project

    Energy Technology Data Exchange (ETDEWEB)

    Lazarus, Lloyd

    2009-02-19

    This report is a high level summary of the eight major projects funded by the Agile Machining and Inspection Non-Nuclear Readiness (NNR) project (FY06.0422.3.04.R1). The largest project of the group is the Rapid Response project in which the six major sub categories are summarized. This project focused on the operations of the machining departments that will comprise Special Applications Machining (SAM) in the Kansas City Responsive Infrastructure Manufacturing & Sourcing (KCRIMS) project. This project was aimed at upgrading older machine tools, developing new inspection tools, eliminating Classified Removable Electronic Media (CREM) in the handling of classified Numerical Control (NC) programs by installing the CRONOS network, and developing methods to automatically load Coordinated-Measuring Machine (CMM) inspection data into bomb books and product score cards. Finally, the project personnel leaned perations of some of the machine tool cells, and now have the model to continue this activity.

  9. Street vending and waste picking in developing countries: a long-standing hazardous occupational activity of the urban poor.

    Science.gov (United States)

    Amegah, Adeladza Kofi; Jaakkola, Jouni J K

    2016-07-28

    Uncontrolled urbanization in developing countries has led to widespread urban poverty and increased susceptibility to environmental exposures owing to the hazardous occupational activities of the urban poor. Street vending and waste picking are the dominant works undertaken by the urban poor, and besides the physical hazards, it also exposes them to several pathogens and high levels of air pollutants present in the outdoor environment. The situation has severe consequences for the health of the workers. Eliminating these occupational activities from the urban landscape of developing countries should therefore receive urgent attention from the global health community and governments. In this article, we provide evidence to support this policy recommendation by documenting exposure experiences of the workers, the associated adverse health effects, whilst also outlining measures for addressing the problem sustainably. We conclude that with the adoption of the sustainable development goals (SDG), governments now have a commitment to address poverty and the associated occupational health hazards experienced by the poor through their choices to help achieve the health-related SDG target (3.9) of substantially reducing the number of deaths and illnesses from hazardous chemicals and air, water, and soil pollution and contamination by 2030.

  10. Automatic Narrow-Deep Feature Recognition for Mould Manufacturing

    Institute of Scientific and Technical Information of China (English)

    Zheng-Ming Chen; Kun-Jin He; Jing Liu

    2011-01-01

    There usually exist narrow-long-deep areas in mould needed to be machined in special machining. To identify the narrow-deep areas automatically, an automatic narrow-deep feature (NF) recognition method is put forward accordingly. First, the narrow-deep feature is defined innovatively in this field and then feature hint is extracted from the mould by the characteristics of narrow-deep feature. Second, the elementary constituent faces (ECF) of a feature are found on the basis of the feature hint. By means of extending and clipping the ECF, the feature faces are obtained incrementally by geometric reasoning. As a result, basic narrow-deep features (BNF) related are combined heuristically. The proposed NF recognition method provides an intelligent connection between CAD and CAPP for machining narrow-deep areas in mould.

  11. microcontroller based automatic control for water pumping machine ...

    African Journals Online (AJOL)

    user

    efforts to store and retrieve it when needed by the development of ... the challenges of achieving high energy efficiency and extended ... complexity, hence reduced high cost and energy .... Frequency Control", Jordan Journal of Mechanical.

  12. MACHINE LEARNING APPROACH FOR AUTOMATIC SEASONAL TOUR PACKAGE

    Directory of Open Access Journals (Sweden)

    Biswamayee M

    2015-10-01

    Full Text Available The online travel data imposes associate increasing difficult for tourists United Nations agency need to choose between sizable amount of accessible package for satisfying their customized desires. This TAST model will represent travel packages and tourists by totally different topics distribution, wherever the topics extraction is conditioned on each the tourists and also the intrinsic options like location , travel seasons of the landscapes. supported this subject model illustration we have a tendency to planned a cocktail approaches to come up with the list for customized travel package recommendation. we have a tendency to extend the TAST model to the tourist-relation-area-season topic (TRASTmodel for capturing the latent relationships among the tourists in every travel cluster.

  13. Towards automatic classification of all WISE sources

    CERN Document Server

    Kurcz, Agnieszka; Solarz, Aleksandra; Krupa, Magdalena; Pollo, Agnieszka; Małek, Katarzyna

    2016-01-01

    The WISE satellite has detected hundreds of millions sources over the entire sky. Classifying them reliably is however a challenging task due to degeneracies in WISE multicolour space and low levels of detection in its two longest-wavelength bandpasses. Here we aim at obtaining comprehensive and reliable star, galaxy and quasar catalogues based on automatic source classification in full-sky WISE data. This means that the final classification will employ only parameters available from WISE itself, in particular those reliably measured for a majority of sources. For the automatic classification we applied the support vector machines (SVM) algorithm, which requires a training sample with relevant classes already identified, and we chose to use the SDSS spectroscopic dataset for that purpose. By calibrating the classifier on the test data drawn from SDSS, we first established that a polynomial kernel is preferred over a radial one for this particular dataset. Next, using three classification parameters (W1 magnit...

  14. Automatic differentiation using vectorized hyper dual numbers

    Science.gov (United States)

    Swaroop, Kshitiz

    Sensitivity analysis is a method to measure the change in a dependent variable with respect to one or more independent variables with uses including optimization, design analysis and risk modeling. Conventional methods like finite difference suffer from both truncation, subtraction errors and cannot be used to simultaneously calculate derivatives of an output with respect to multiple inputs (commonly seen in optimization problems). Automatic Differentiation tackles all these issues successfully allowing us to calculate derivatives of any variable with respect to the independent variables in a computer program up to machine precision without any significant user input. Vectorized Hyper Dual Numbers, an extension of Hyper Dual Numbers, which allows the user to automatically calculate both the Hessian and derivative along with the function evaluation is developed for this thesis. The method is then used for the sizing and layup of a composite wind turbine blade as a proof of concept.

  15. Self-Calibrating Surface Measuring Machine

    Science.gov (United States)

    Greenleaf, Allen H.

    1983-04-01

    A new kind of surface-measuring machine has been developed under government contract at Itek Optical Systems, a Division of Itek Corporation, to assist in the fabrication of large, highly aspheric optical elements. The machine uses four steerable distance-measuring interferometers at the corners of a tetrahedron to measure the positions of a retroreflective target placed at various locations against the surface being measured. Using four interferometers gives redundant information so that, from a set of measurement data, the dimensions of the machine as well as the coordinates of the measurement points can be determined. The machine is, therefore, self-calibrating and does not require a structure made to high accuracy. A wood-structured prototype of this machine was made whose key components are a simple form of air bearing steering mirror, a wide-angle cat's eye retroreflector used as the movable target, and tracking sensors and servos to provide automatic tracking of the cat's eye by the four laser beams. The data are taken and analyzed by computer. The output is given in terms of error relative to an equation of the desired surface. In tests of this machine, measurements of a 0.7 m diameter mirror blank have been made with an accuracy on the order of 0.2µm rms.

  16. Future Smart Cooking Machine System Design

    Directory of Open Access Journals (Sweden)

    Dewi Agushinta R.

    2013-11-01

    Full Text Available There are many tools make human task get easier. Cooking has become a basic necessity for human beings, since food is one of basic human needs. Until now, the cooking equipment being used is still a hand tool. However everyone has slightly high activity. The presence of cooking tools that can do the cooking work by itself is now necessary. Future Smart Cooking Machine is an artificial intelligence machine that can do cooking work automatically. With this system design, the time is minimized and the ease of work is expected to be achieved. The development of this system is carried out with System Development Life Cycle (SDLC methods. Prototyping method used in this system is a throw-away prototyping approach. At the end of this research there will be produced a cooking machine system design including physical design engine and interface design.

  17. 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.

  18. Personality in speech assessment and automatic classification

    CERN Document Server

    Polzehl, Tim

    2015-01-01

    This work combines interdisciplinary knowledge and experience from research fields of psychology, linguistics, audio-processing, machine learning, and computer science. The work systematically explores a novel research topic devoted to automated modeling of personality expression from speech. For this aim, it introduces a novel personality assessment questionnaire and presents the results of extensive labeling sessions to annotate the speech data with personality assessments. It provides estimates of the Big 5 personality traits, i.e. openness, conscientiousness, extroversion, agreeableness, and neuroticism. Based on a database built on the questionnaire, the book presents models to tell apart different personality types or classes from speech automatically.

  19. SOFTWARE-CONTROLLED SYSTEM OF ULTRA-PRECISION MACHINING AXISYMMETRIC ASPHERIC MIRROR

    Institute of Scientific and Technical Information of China (English)

    GUO Yinbiao; WEI Lizhen

    2006-01-01

    In order to improve machining accuracy and efficiency, a software-controlled system of ultra-precision machining for axisymmetric aspheric mirror, using techniques of error compensation,remote transmission and modularization, is designed based on industrial PC, Windows 2000 work platform and Visual Basic 6.0. By experiments, this system realizes functions of ultra-precision machining, machining error compensation, remote data transmission and automatic data transformation among first machining, compensation machining and accuracy measurement. The actual application shows that error compensation improves machining accuracy, remote transmission improves machining efficiency while modularization avoids repeated work and improves design efficiency. Therefore, the system has met ultra-precision machining need for aspheric mirror.

  20. Machine tool structures

    CERN Document Server

    Koenigsberger, F

    1970-01-01

    Machine Tool Structures, Volume 1 deals with fundamental theories and calculation methods for machine tool structures. Experimental investigations into stiffness are discussed, along with the application of the results to the design of machine tool structures. Topics covered range from static and dynamic stiffness to chatter in metal cutting, stability in machine tools, and deformations of machine tool structures. This volume is divided into three sections and opens with a discussion on stiffness specifications and the effect of stiffness on the behavior of the machine under forced vibration c

  1. Word Automaticity of Tree Automatic Scattered Linear Orderings Is Decidable

    CERN Document Server

    Huschenbett, Martin

    2012-01-01

    A tree automatic structure is a structure whose domain can be encoded by a regular tree language such that each relation is recognisable by a finite automaton processing tuples of trees synchronously. Words can be regarded as specific simple trees and a structure is word automatic if it is encodable using only these trees. The question naturally arises whether a given tree automatic structure is already word automatic. We prove that this problem is decidable for tree automatic scattered linear orderings. Moreover, we show that in case of a positive answer a word automatic presentation is computable from the tree automatic presentation.

  2. Students’ beliefs and behaviour regarding low-calorie beverages, sweets or snacks: are they affected by lessons on healthy food and by changes to school vending machines?

    NARCIS (Netherlands)

    Kocken, P.L.; Kesteren, N.M.C. van; Buijs, G.; Snel, J.; Dusseldorp, E.

    2015-01-01

    Objective To study the effects of school lessons about healthy food on adolescents’ self-reported beliefs and behaviour regarding the purchase and consumption of soft drinks, water and extra foods, including sweets and snacks. The lessons were combined with the introduction of lower-calorie foods,

  3. Students’ beliefs and behaviour regarding low-calorie beverages, sweets or snacks: are they affected by lessons on healthy food and by changes to school vending machines?

    NARCIS (Netherlands)

    Kocken, P.L.; Kesteren, N.M.C. van; Buijs, G.; Snel, J.; Dusseldorp, E.

    2015-01-01

    Objective To study the effects of school lessons about healthy food on adolescents’ self-reported beliefs and behaviour regarding the purchase and consumption of soft drinks, water and extra foods, including sweets and snacks. The lessons were combined with the introduction of lower-calorie foods, f

  4. Students’ beliefs and behaviour regarding low-calorie beverages, sweets or snacks: are they affected by lessons on healthy food and by changes to school vending machines?

    NARCIS (Netherlands)

    Kocken, P.L.; Kesteren, N.M.C. van; Buijs, G.; Snel, J.; Dusseldorp, E.

    2015-01-01

    Objective To study the effects of school lessons about healthy food on adolescents’ self-reported beliefs and behaviour regarding the purchase and consumption of soft drinks, water and extra foods, including sweets and snacks. The lessons were combined with the introduction of lower-calorie foods, f

  5. Machine Learning Techniques in Clinical Vision Sciences.

    Science.gov (United States)

    Caixinha, Miguel; Nunes, Sandrina

    2017-01-01

    This review presents and discusses the contribution of machine learning techniques for diagnosis and disease monitoring in the context of clinical vision science. Many ocular diseases leading to blindness can be halted or delayed when detected and treated at its earliest stages. With the recent developments in diagnostic devices, imaging and genomics, new sources of data for early disease detection and patients' management are now available. Machine learning techniques emerged in the biomedical sciences as clinical decision-support techniques to improve sensitivity and specificity of disease detection and monitoring, increasing objectively the clinical decision-making process. This manuscript presents a review in multimodal ocular disease diagnosis and monitoring based on machine learning approaches. In the first section, the technical issues related to the different machine learning approaches will be present. Machine learning techniques are used to automatically recognize complex patterns in a given dataset. These techniques allows creating homogeneous groups (unsupervised learning), or creating a classifier predicting group membership of new cases (supervised learning), when a group label is available for each case. To ensure a good performance of the machine learning techniques in a given dataset, all possible sources of bias should be removed or minimized. For that, the representativeness of the input dataset for the true population should be confirmed, the noise should be removed, the missing data should be treated and the data dimensionally (i.e., the number of parameters/features and the number of cases in the dataset) should be adjusted. The application of machine learning techniques in ocular disease diagnosis and monitoring will be presented and discussed in the second section of this manuscript. To show the clinical benefits of machine learning in clinical vision sciences, several examples will be presented in glaucoma, age-related macular degeneration

  6. Tradition of healthy food access in low-income neighborhoods: Price and variety of curbside produce vending compared to conventional retailers.

    Science.gov (United States)

    Brinkley, Catherine; Chrisinger, Benjamin; Hillier, Amy

    2013-01-01

    This paper describes the longstanding, naturally emergent model of curbside vending of whole fruit and vegetable produce across several low-income, low-health Philadelphia neighborhoods. We conducted open-ended interviews with managers of 11 curbside produce vendors and compared prices and varieties of fruits and vegetables with the 11 closest conventional outlets. We find that produce trucks offer significantly lower prices on common fruit and vegetable items and they carry a variety of items comparable to that carried by limited-assortment grocery stores. We conclude with recommendations regarding zoning, licensing, and Supplemental Nutrition Assistance Program (SNAP) authorization that could stabilize and expand this model of healthy food access.

  7. Machine learning in motion control

    Science.gov (United States)

    Su, Renjeng; Kermiche, Noureddine

    1989-01-01

    The existing methodologies for robot programming originate primarily from robotic applications to manufacturing, where uncertainties of the robots and their task environment may be minimized by repeated off-line modeling and identification. In space application of robots, however, a higher degree of automation is required for robot programming because of the desire of minimizing the human intervention. We discuss a new paradigm of robotic programming which is based on the concept of machine learning. The goal is to let robots practice tasks by themselves and the operational data are used to automatically improve their motion performance. The underlying mathematical problem is to solve the problem of dynamical inverse by iterative methods. One of the key questions is how to ensure the convergence of the iterative process. There have been a few small steps taken into this important approach to robot programming. We give a representative result on the convergence problem.

  8. Machine learning in motion control

    Science.gov (United States)

    Su, Renjeng; Kermiche, Noureddine

    1989-01-01

    The existing methodologies for robot programming originate primarily from robotic applications to manufacturing, where uncertainties of the robots and their task environment may be minimized by repeated off-line modeling and identification. In space application of robots, however, a higher degree of automation is required for robot programming because of the desire of minimizing the human intervention. We discuss a new paradigm of robotic programming which is based on the concept of machine learning. The goal is to let robots practice tasks by themselves and the operational data are used to automatically improve their motion performance. The underlying mathematical problem is to solve the problem of dynamical inverse by iterative methods. One of the key questions is how to ensure the convergence of the iterative process. There have been a few small steps taken into this important approach to robot programming. We give a representative result on the convergence problem.

  9. Design of Demining Machines

    CERN Document Server

    Mikulic, Dinko

    2013-01-01

    In constant effort to eliminate mine danger, international mine action community has been developing safety, efficiency and cost-effectiveness of clearance methods. Demining machines have become necessary when conducting humanitarian demining where the mechanization of demining provides greater safety and productivity. Design of Demining Machines describes the development and testing of modern demining machines in humanitarian demining.   Relevant data for design of demining machines are included to explain the machinery implemented and some innovative and inspiring development solutions. Development technologies, companies and projects are discussed to provide a comprehensive estimate of the effects of various design factors and to proper selection of optimal parameters for designing the demining machines.   Covering the dynamic processes occurring in machine assemblies and their components to a broader understanding of demining machine as a whole, Design of Demining Machines is primarily tailored as a tex...

  10. Applied machining technology

    CERN Document Server

    Tschätsch, Heinz

    2010-01-01

    Machining and cutting technologies are still crucial for many manufacturing processes. This reference presents all important machining processes in a comprehensive and coherent way. It includes many examples of concrete calculations, problems and solutions.

  11. Machining with abrasives

    CERN Document Server

    Jackson, Mark J

    2011-01-01

    Abrasive machining is key to obtaining the desired geometry and surface quality in manufacturing. This book discusses the fundamentals and advances in the abrasive machining processes. It provides a complete overview of developing areas in the field.

  12. Women, Men, and Machines.

    Science.gov (United States)

    Form, William; McMillen, David Byron

    1983-01-01

    Data from the first national study of technological change show that proportionately more women than men operate machines, are more exposed to machines that have alienating effects, and suffer more from the negative effects of technological change. (Author/SSH)

  13. Machine medical ethics

    CERN Document Server

    Pontier, Matthijs

    2015-01-01

    The essays in this book, written by researchers from both humanities and sciences, describe various theoretical and experimental approaches to adding medical ethics to a machine in medical settings. Medical machines are in close proximity with human beings, and getting closer: with patients who are in vulnerable states of health, who have disabilities of various kinds, with the very young or very old, and with medical professionals. In such contexts, machines are undertaking important medical tasks that require emotional sensitivity, knowledge of medical codes, human dignity, and privacy. As machine technology advances, ethical concerns become more urgent: should medical machines be programmed to follow a code of medical ethics? What theory or theories should constrain medical machine conduct? What design features are required? Should machines share responsibility with humans for the ethical consequences of medical actions? How ought clinical relationships involving machines to be modeled? Is a capacity for e...

  14. Brain versus Machine Control.

    Directory of Open Access Journals (Sweden)

    Jose M Carmena

    2004-12-01

    Full Text Available Dr. Octopus, the villain of the movie "Spiderman 2", is a fusion of man and machine. Neuroscientist Jose Carmena examines the facts behind this fictional account of a brain- machine interface

  15. 3D position measurement using square marker for automatic mobile robot control

    Science.gov (United States)

    Sakamoto, Kunio; Ohmori, Koji

    2010-11-01

    A mobile robot is an automatic machine that is capable of movement in a given environment. Many techniques of automatic control are proposed. A line tracer is one of the most popular robots. The line tracer goes along a white line on the floor. The authors developed a mobile robot which moves to indicated point automatically. All you have to do is to indicate a goal point. In this paper, we propose an automatic mobile robot system controlled by an invisible marker and remote indication using the augmented reality technology.

  16. A Universal Reactive Machine

    DEFF Research Database (Denmark)

    Andersen, Henrik Reif; Mørk, Simon; Sørensen, Morten U.

    1997-01-01

    Turing showed the existence of a model universal for the set of Turing machines in the sense that given an encoding of any Turing machine asinput the universal Turing machine simulates it. We introduce the concept of universality for reactive systems and construct a CCS processuniversal...

  17. Uncertainty-Aware Estimation of Population Abundance using Machine Learning

    NARCIS (Netherlands)

    Boom, B.J.; Beauxis-Aussalet, E.M.A.L.; Hardman, L.; Fisher, R.B.

    2015-01-01

    Machine Learning is widely used for mining collections, such as images, sounds, or texts, by classifying their elements into categories. Automatic classication based on supervised learning requires groundtruth datasets for modeling the elements to classify, and for testing the quality of the classic

  18. Extracting Information from Spoken User Input. A Machine Learning Approach

    NARCIS (Netherlands)

    Lendvai, P.K.

    2004-01-01

    We propose a module that performs automatic analysis of user input in spoken dialogue systems using machine learning algorithms. The input to the module is material received from the speech recogniser and the dialogue manager of the spoken dialogue system, the output is a four-level

  19. Exploration and exploitation of multilingual data for statistical machine translation

    NARCIS (Netherlands)

    Carter, S.C.

    2012-01-01

    Shortly after the birth of computer science, researchers realised the importance of machine translation as a task worth of concentrated effort, but it is only recently that algorithms are able to provide automatic translations usable by the masses. Modern translation systems are dependent on bilingu

  20. Development of a Test Machine for IVECO Drive Axle

    Institute of Scientific and Technical Information of China (English)

    WANG Liang-mo; WANG He-fu; CHEN Jin-rong; LING Zhi-liang; CAO Yu-hua

    2007-01-01

    To improve the automation level of the vehicle drive axle test and better simulate a vehicle′s actual operation, an advanced test machine has been developed. The load system of the machine consists of hand brakes and electric cylinders. It is simple-structured and low-cost. The major motor of the machine is controlled by a transducer and its speed can be adjusted easily. In addition, the programmed machine can automatically test such parameters as the grinding condition, the differential speed, the noise level, etc. It can also adjust the test procedures according to different requirements. Detailed discussion of the structure and mechanism of the test machine is given in this paper.

  1. 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.

  2. 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.

  3. 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.

  4. Analysing Quality of English-Hindi Machine Translation Engine outputs using Baysian Classification

    OpenAIRE

    Rashmi Gupta; Nisheeth Joshi; Iti Mathur

    2013-01-01

    This paper considers the problem for estimating the quality of machine translation outputs which are independent of human intervention and are generally addressed using machine learning techniques.There are various measures through which a machine learns translations quality. Automatic Evaluation metrics produce good co-relation at corpus level but cannot produce the same results at the same segment or sentence level. In this paper 16 features are extracted from the input sentence...

  5. Automatic identification of artifacts in electrodermal activity data.

    Science.gov (United States)

    Taylor, Sara; Jaques, Natasha; Chen, Weixuan; Fedor, Szymon; Sano, Akane; Picard, Rosalind

    2015-01-01

    Recently, wearable devices have allowed for long term, ambulatory measurement of electrodermal activity (EDA). Despite the fact that ambulatory recording can be noisy, and recording artifacts can easily be mistaken for a physiological response during analysis, to date there is no automatic method for detecting artifacts. This paper describes the development of a machine learning algorithm for automatically detecting EDA artifacts, and provides an empirical evaluation of classification performance. We have encoded our results into a freely available web-based tool for artifact and peak detection.

  6. Asynchronized synchronous machines

    CERN Document Server

    Botvinnik, M M

    1964-01-01

    Asynchronized Synchronous Machines focuses on the theoretical research on asynchronized synchronous (AS) machines, which are "hybrids” of synchronous and induction machines that can operate with slip. Topics covered in this book include the initial equations; vector diagram of an AS machine; regulation in cases of deviation from the law of full compensation; parameters of the excitation system; and schematic diagram of an excitation regulator. The possible applications of AS machines and its calculations in certain cases are also discussed. This publication is beneficial for students and indiv

  7. 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.

  8. 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.

  9. Automatic Program Development

    DEFF Research Database (Denmark)

    by members of the IFIP Working Group 2.1 of which Bob was an active member. All papers are related to some of the research interests of Bob and, in particular, to the transformational development of programs and their algorithmic derivation from formal specifications. Automatic Program Development offers......Automatic Program Development is a tribute to Robert Paige (1947-1999), our accomplished and respected colleague, and moreover our good friend, whose untimely passing was a loss to our academic and research community. We have collected the revised, updated versions of the papers published in his...... honor in the Higher-Order and Symbolic Computation Journal in the years 2003 and 2005. Among them there are two papers by Bob: (i) a retrospective view of his research lines, and (ii) a proposal for future studies in the area of the automatic program derivation. The book also includes some papers...

  10. One-way successive plate cross wedge rolling machine

    Institute of Scientific and Technical Information of China (English)

    2010-01-01

    In our last paper(Sci China Ser E-Tech Sci,2009,52(11):3117-3121) we designed the precision forming machine with rolling plate CWR(cross wedge rolling).This kind of machine colligates the advantages of high rigidity and small floor space for roller CWR machine and those of simple die manufacture and high precision for plate CWR machine.At the same time,it abandons the shortcomings of complex die manufacture and poor precision for roller CWR machine,and those of poor rigidity and large floor space for plate CWR machine.During rolling,the upper and lower rolling plates of the machine make reciprocating slide toward or away from each other,so the inertial forces should be overcome,which will cause great energy loss,besides,large floor space is needed when the rolled workpiece is large.In order to solve the above problems,this paper presents the one-way successive plate CWR machine,whose rolling plates need not make reciprocating slide.Hence,it has high energy utilization efficiency and production efficiency.Furthermore,the roll scale can be removed automatically.In particular,the machine can produce large axisymmetrical workpieces.

  11. Automatic text summarization

    CERN Document Server

    Torres Moreno, Juan Manuel

    2014-01-01

    This new textbook examines the motivations and the different algorithms for automatic document summarization (ADS). We performed a recent state of the art. The book shows the main problems of ADS, difficulties and the solutions provided by the community. It presents recent advances in ADS, as well as current applications and trends. The approaches are statistical, linguistic and symbolic. Several exemples are included in order to clarify the theoretical concepts.  The books currently available in the area of Automatic Document Summarization are not recent. Powerful algorithms have been develop

  12. Automatic Camera Control

    DEFF Research Database (Denmark)

    Burelli, Paolo; Preuss, Mike

    2014-01-01

    Automatically generating computer animations is a challenging and complex problem with applications in games and film production. In this paper, we investigate howto translate a shot list for a virtual scene into a series of virtual camera configurations — i.e automatically controlling the virtual...... camera. We approach this problem by modelling it as a dynamic multi-objective optimisation problem and show how this metaphor allows a much richer expressiveness than a classical single objective approach. Finally, we showcase the application of a multi-objective evolutionary algorithm to generate a shot...

  13. Perspex machine: VII. The universal perspex machine

    Science.gov (United States)

    Anderson, James A. D. W.

    2006-01-01

    The perspex machine arose from the unification of projective geometry with the Turing machine. It uses a total arithmetic, called transreal arithmetic, that contains real arithmetic and allows division by zero. Transreal arithmetic is redefined here. The new arithmetic has both a positive and a negative infinity which lie at the extremes of the number line, and a number nullity that lies off the number line. We prove that nullity, 0/0, is a number. Hence a number may have one of four signs: negative, zero, positive, or nullity. It is, therefore, impossible to encode the sign of a number in one bit, as floating-point arithmetic attempts to do, resulting in the difficulty of having both positive and negative zeros and NaNs. Transrational arithmetic is consistent with Cantor arithmetic. In an extension to real arithmetic, the product of zero, an infinity, or nullity with its reciprocal is nullity, not unity. This avoids the usual contradictions that follow from allowing division by zero. Transreal arithmetic has a fixed algebraic structure and does not admit options as IEEE, floating-point arithmetic does. Most significantly, nullity has a simple semantics that is related to zero. Zero means "no value" and nullity means "no information." We argue that nullity is as useful to a manufactured computer as zero is to a human computer. The perspex machine is intended to offer one solution to the mind-body problem by showing how the computable aspects of mind and, perhaps, the whole of mind relates to the geometrical aspects of body and, perhaps, the whole of body. We review some of Turing's writings and show that he held the view that his machine has spatial properties. In particular, that it has the property of being a 7D lattice of compact spaces. Thus, we read Turing as believing that his machine relates computation to geometrical bodies. We simplify the perspex machine by substituting an augmented Euclidean geometry for projective geometry. This leads to a general

  14. Exploring Automatization Processes.

    Science.gov (United States)

    DeKeyser, Robert M.

    1996-01-01

    Presents the rationale for and the results of a pilot study attempting to document in detail how automatization takes place as the result of different kinds of intensive practice. Results show that reaction times and error rates gradually decline with practice, and the practice effect is skill-specific. (36 references) (CK)

  15. Automatic Complexity Analysis

    DEFF Research Database (Denmark)

    Rosendahl, Mads

    1989-01-01

    One way to analyse programs is to to derive expressions for their computational behaviour. A time bound function (or worst-case complexity) gives an upper bound for the computation time as a function of the size of input. We describe a system to derive such time bounds automatically using abstrac...

  16. 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.

  17. Automatic Dance Lesson Generation

    Science.gov (United States)

    Yang, Yang; Leung, H.; Yue, Lihua; Deng, LiQun

    2012-01-01

    In this paper, an automatic lesson generation system is presented which is suitable in a learning-by-mimicking scenario where the learning objects can be represented as multiattribute time series data. The dance is used as an example in this paper to illustrate the idea. Given a dance motion sequence as the input, the proposed lesson generation…

  18. Automatic Discovery of Non-Compositional Compounds in Parallel Data

    CERN Document Server

    Melamed, I D

    1997-01-01

    Automatic segmentation of text into minimal content-bearing units is an unsolved problem even for languages like English. Spaces between words offer an easy first approximation, but this approximation is not good enough for machine translation (MT), where many word sequences are not translated word-for-word. This paper presents an efficient automatic method for discovering sequences of words that are translated as a unit. The method proceeds by comparing pairs of statistical translation models induced from parallel texts in two languages. It can discover hundreds of non-compositional compounds on each iteration, and constructs longer compounds out of shorter ones. Objective evaluation on a simple machine translation task has shown the method's potential to improve the quality of MT output. The method makes few assumptions about the data, so it can be applied to parallel data other than parallel texts, such as word spellings and pronunciations.

  19. OSKI: A Library of Automatically Tuned Sparse Matrix Kernels

    Energy Technology Data Exchange (ETDEWEB)

    Vuduc, R; Demmel, J W; Yelick, K A

    2005-07-19

    The Optimized Sparse Kernel Interface (OSKI) is a collection of low-level primitives that provide automatically tuned computational kernels on sparse matrices, for use by solver libraries and applications. These kernels include sparse matrix-vector multiply and sparse triangular solve, among others. The primary aim of this interface is to hide the complex decision-making process needed to tune the performance of a kernel implementation for a particular user's sparse matrix and machine, while also exposing the steps and potentially non-trivial costs of tuning at run-time. This paper provides an overview of OSKI, which is based on our research on automatically tuned sparse kernels for modern cache-based superscalar machines.

  20. OSKI: A library of automatically tuned sparse matrix kernels

    Science.gov (United States)

    Vuduc, Richard; Demmel, James W.; Yelick, Katherine A.

    2005-01-01

    The Optimized Sparse Kernel Interface (OSKI) is a collection of low-level primitives that provide automatically tuned computational kernels on sparse matrices, for use by solver libraries and applications. These kernels include sparse matrix-vector multiply and sparse triangular solve, among others. The primary aim of this interface is to hide the complex decisionmaking process needed to tune the performance of a kernel implementation for a particular user's sparse matrix and machine, while also exposing the steps and potentially non-trivial costs of tuning at run-time. This paper provides an overview of OSKI, which is based on our research on automatically tuned sparse kernels for modern cache-based superscalar machines.

  1. Automaticity and Reading: Perspectives from the Instance Theory of Automatization.

    Science.gov (United States)

    Logan, Gordon D.

    1997-01-01

    Reviews recent literature on automaticity, defining the criteria that distinguish automatic processing from non-automatic processing, and describing modern theories of the underlying mechanisms. Focuses on evidence from studies of reading and draws implications from theory and data for practical issues in teaching reading. Suggests that…

  2. Automatic Classification Method of Star Spectra Data Based on Manifold-Based Discriminant Anaysis and Support Vector Machine%流形判别分析和支持向量机的恒星光谱数据自动分类方法

    Institute of Scientific and Technical Information of China (English)

    刘忠宝; 王召巴; 赵文娟

    2014-01-01

    Although Support Vector Machine (SVM) is widely used in astronomy ,it only takes the margin between classes into consideration while neglects the data distribution in each class ,which seriously limits the classification efficiency .In view of this ,a novel automatic classification method of star spectra data based on manifold-based discriminant analysis (MDA ) and SVM is proposed in this paper .Two important concepts in MDA ,manifold-based within-class scatter (MWCS) and manifold-based between-class scatter (MBCS) ,are introduced in the proposed method ,the separating hyperplane found by which ensures MWCS is minimized and MBCS is maximized .Based on the above analysis ,the corresponding optimal problem can be estab-lished ,and then MDA transforms the original optimization problem to the QP dual form and we can obtain the support vectors and decision function .The classes of test samples are decided by the decision function .The advantage of the proposed method is that it not only focuses on the information between classes and distribution characteristics ,but also preserves the manifold struc-ture of each class .Experiments on SDSS star spectra datasets verify the effectiveness of the proposed method .%尽管经典的分类方法支持向量机SVM在天文学领域广泛应用,但其只考虑类间的绝对间隔而忽略类内的分布性状,因而分类性能有待于进一步提升。鉴于此,提出一种新颖的基于流形判别分析和支持向量机的恒星光谱数据自动分类方法。该方法引入流形判别分析的两个重要概念:基于流形的类内离散度 MW和基于流形的类间离散度MB 。所提方法找到的分类面同时保证 MW 最小且MB 最大。可建立相应最优化问题,然后将原最优化问题转化为QP对偶形式求得支持向量和判别函数,最后利用判别函数判断测试样本的类属。该方法的最大优势在于进行分类决策时,不仅考虑样本的类间信息和分布

  3. AUTOMATIC APPROACH TO PRODUCT CONCEPTUAL DESIGN BASED ON CONSTRAINT NETWORK

    Institute of Scientific and Technical Information of China (English)

    Li Hongjie; Xiao Renbin

    2004-01-01

    Product design is considered as the constraint satisfaction problem (CSP), and a new design approach basedon constraint network is proposed and applied to make design automatic partially. By means of constraint extraction, constraint network construction and operation, constraint chains are acquired, and then the conceptual design scheme can be got by decoding the information stored in the design constraint chains, which provides a novelty method for mechanical product design automation. Shearing mechanism of shearing machine has been designed by this way.

  4. Automatic Grid Processing of Large Photographic Plates (With 3 Figures)

    Science.gov (United States)

    Dumoulin, B.; Québatte, J.; West, R. M.

    In an earlier article (42.034.211), the authors have described a new method for the development of large photographic plates. This method, which is called grid processing, is based on the rapid motion of a metallic grid in the developer, very close to the emulsion surface. Experience has shown that this method is superior to the classical tray rocker. The authors here report the continuation of the tests, now with the aid of the prototype of an automatic grid processing machine.

  5. Machinability of advanced materials

    CERN Document Server

    Davim, J Paulo

    2014-01-01

    Machinability of Advanced Materials addresses the level of difficulty involved in machining a material, or multiple materials, with the appropriate tooling and cutting parameters.  A variety of factors determine a material's machinability, including tool life rate, cutting forces and power consumption, surface integrity, limiting rate of metal removal, and chip shape. These topics, among others, and multiple examples comprise this research resource for engineering students, academics, and practitioners.

  6. Pattern recognition & machine learning

    CERN Document Server

    Anzai, Y

    1992-01-01

    This is the first text to provide a unified and self-contained introduction to visual pattern recognition and machine learning. It is useful as a general introduction to artifical intelligence and knowledge engineering, and no previous knowledge of pattern recognition or machine learning is necessary. Basic for various pattern recognition and machine learning methods. Translated from Japanese, the book also features chapter exercises, keywords, and summaries.

  7. Support vector machines applications

    CERN Document Server

    Guo, Guodong

    2014-01-01

    Support vector machines (SVM) have both a solid mathematical background and good performance in practical applications. This book focuses on the recent advances and applications of the SVM in different areas, such as image processing, medical practice, computer vision, pattern recognition, machine learning, applied statistics, business intelligence, and artificial intelligence. The aim of this book is to create a comprehensive source on support vector machine applications, especially some recent advances.

  8. Machining of titanium alloys

    CERN Document Server

    2014-01-01

    This book presents a collection of examples illustrating the resent research advances in the machining of titanium alloys. These materials have excellent strength and fracture toughness as well as low density and good corrosion resistance; however, machinability is still poor due to their low thermal conductivity and high chemical reactivity with cutting tool materials. This book presents solutions to enhance machinability in titanium-based alloys and serves as a useful reference to professionals and researchers in aerospace, automotive and biomedical fields.

  9. Automatic Reading of Hand-painted Carpet Patterns

    Directory of Open Access Journals (Sweden)

    M. Fateh

    2012-09-01

    Full Text Available Carpet patterns are in two categories: machine-printed and hand-painted. There are a few articles on automatic reading of machine-printed patterns, but due to the difficulties in reading of machine-printed patterns, there is not any published work yet. This article provides a new method for automatic reading of hand-painted carpet patterns which consists of the following steps: initial pixel-based color reduction, knot-based color reduction, segmentation by region growing and final color reduction. The proposed method is tailored for the application in hand and, therefore yields a good result. For 80 segments of different patterns, the algorithm has an approximate of 95% accuracy. In other words, the color of 95% of pattern knots are found accurately. It is tried to develop a method with proper accuracy and speed. Therefore, the proposed method is not completely automatic and the number of colors is required to be given by the user.

  10. Automatization of welding for nuclear power equipments and facilities

    Energy Technology Data Exchange (ETDEWEB)

    Tamai, Y.; Matsumoto, T.; Koyama, T. (Hitachi Ltd., Ibaraki (Japan). Hitachi Works)

    1980-09-01

    For the requirement of high reliability in the construction of nuclear power plants and the reduction of radiation exposure in the modefying works of existing plants, the automation and remote operation of welding have increased their necessity. In this paper, the present state of the automation of welding for making machines, equipments and pipings for nuclear power plants in Hitachi Ltd. is described, and the aim of developing the automation, the features of the equipments and the state of application to actual plants are introduced, centering around the automation of welding for large structures such as reactor containment vessels and the remote type automatic welding system for pipings. By these automations, the large outcomes were obtained in the improvement of welding quality required for the machines and equipments for atomic energy. Moreover, the conspicuous results were also obtained in case of the peculiar works to nuclear power plants, in which the reduction of the radiation exposure related to human bodies and the welding of high quality are demanded. The present state of the automation of welding for nuclear installations in Hitachi Ltd., the development of automatic welding equipments and the present state of application to actual plants, and the development and application of the automatic pipe working machine for reducing radiation exposure are explained.

  11. Rotating electrical machines

    CERN Document Server

    Le Doeuff, René

    2013-01-01

    In this book a general matrix-based approach to modeling electrical machines is promulgated. The model uses instantaneous quantities for key variables and enables the user to easily take into account associations between rotating machines and static converters (such as in variable speed drives).   General equations of electromechanical energy conversion are established early in the treatment of the topic and then applied to synchronous, induction and DC machines. The primary characteristics of these machines are established for steady state behavior as well as for variable speed scenarios. I

  12. Chaotic Boltzmann machines.

    Science.gov (United States)

    Suzuki, Hideyuki; Imura, Jun-ichi; Horio, Yoshihiko; Aihara, Kazuyuki

    2013-01-01

    The chaotic Boltzmann machine proposed in this paper is a chaotic pseudo-billiard system that works as a Boltzmann machine. Chaotic Boltzmann machines are shown numerically to have computing abilities comparable to conventional (stochastic) Boltzmann machines. Since no randomness is required, efficient hardware implementation is expected. Moreover, the ferromagnetic phase transition of the Ising model is shown to be characterised by the largest Lyapunov exponent of the proposed system. In general, a method to relate probabilistic models to nonlinear dynamics by derandomising Gibbs sampling is presented.

  13. Tribology in machine design

    CERN Document Server

    Stolarski, Tadeusz

    1999-01-01

    ""Tribology in Machine Design is strongly recommended for machine designers, and engineers and scientists interested in tribology. It should be in the engineering library of companies producing mechanical equipment.""Applied Mechanics ReviewTribology in Machine Design explains the role of tribology in the design of machine elements. It shows how algorithms developed from the basic principles of tribology can be used in a range of practical applications within mechanical devices and systems.The computer offers today's designer the possibility of greater stringen

  14. Debugging the virtual machine

    Energy Technology Data Exchange (ETDEWEB)

    Miller, P.; Pizzi, R.

    1994-09-02

    A computer program is really nothing more than a virtual machine built to perform a task. The program`s source code expresses abstract constructs using low level language features. When a virtual machine breaks, it can be very difficult to debug because typical debuggers provide only low level machine implementation in formation to the software engineer. We believe that the debugging task can be simplified by introducing aspects of the abstract design into the source code. We introduce OODIE, an object-oriented language extension that allows programmers to specify a virtual debugging environment which includes the design and abstract data types of the virtual machine.

  15. Electrical machines & drives

    CERN Document Server

    Hammond, P

    1985-01-01

    Containing approximately 200 problems (100 worked), the text covers a wide range of topics concerning electrical machines, placing particular emphasis upon electrical-machine drive applications. The theory is concisely reviewed and focuses on features common to all machine types. The problems are arranged in order of increasing levels of complexity and discussions of the solutions are included where appropriate to illustrate the engineering implications. This second edition includes an important new chapter on mathematical and computer simulation of machine systems and revised discussions o

  16. 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

  17. Induction machine handbook

    CERN Document Server

    Boldea, Ion

    2002-01-01

    Often called the workhorse of industry, the advent of power electronics and advances in digital control are transforming the induction motor into the racehorse of industrial motion control. Now, the classic texts on induction machines are nearly three decades old, while more recent books on electric motors lack the necessary depth and detail on induction machines.The Induction Machine Handbook fills industry's long-standing need for a comprehensive treatise embracing the many intricate facets of induction machine analysis and design. Moving gradually from simple to complex and from standard to

  18. Machine Learning for ATLAS DDM Network Metrics

    CERN Document Server

    Lassnig, Mario; The ATLAS collaboration; Vamosi, Ralf

    2016-01-01

    The increasing volume of physics data is posing a critical challenge to the ATLAS experiment. In anticipation of high luminosity physics, automation of everyday data management tasks has become necessary. Previously many of these tasks required human decision-making and operation. Recent advances in hardware and software have made it possible to entrust more complicated duties to automated systems using models trained by machine learning algorithms. In this contribution we show results from our ongoing automation efforts. First, we describe our framework for distributed data management and network metrics, automatically extract and aggregate data, train models with various machine learning algorithms, and eventually score the resulting models and parameters. Second, we use these models to forecast metrics relevant for network-aware job scheduling and data brokering. We show the characteristics of the data and evaluate the forecasting accuracy of our models.

  19. Machine-aided indexing at NASA

    Science.gov (United States)

    Silvester, June P.; Genuardi, Michael T.; Klingbiel, Paul H.

    1994-01-01

    This report describes the NASA Lexical Dictionary (NLD), a machine-aided indexing system used online at the National Aeronautics and Space Administration's Center for AeroSpace Information (CASI). This system automatically suggests a set of candidate terms from NASA's controlled vocabulary for any designated natural language text input. The system is comprised of a text processor that is based on the computational, nonsyntactic analysis of input text and an extensive knowledge base that serves to recognize and translate text-extracted concepts. The functions of the various NLD system components are described in detail, and production and quality benefits resulting from the implementation of machine-aided indexing at CASI are discussed.

  20. Automatic Cataract Hardness Classification Ex Vivo by Ultrasound Techniques.

    Science.gov (United States)

    Caixinha, Miguel; Santos, Mário; Santos, Jaime

    2016-04-01

    To demonstrate the feasibility of a new methodology for cataract hardness characterization and automatic classification using ultrasound techniques, different cataract degrees were induced in 210 porcine lenses. A 25-MHz ultrasound transducer was used to obtain acoustical parameters (velocity and attenuation) and backscattering signals. B-Scan and parametric Nakagami images were constructed. Ninety-seven parameters were extracted and subjected to a Principal Component Analysis. Bayes, K-Nearest-Neighbours, Fisher Linear Discriminant and Support Vector Machine (SVM) classifiers were used to automatically classify the different cataract severities. Statistically significant increases with cataract formation were found for velocity, attenuation, mean brightness intensity of the B-Scan images and mean Nakagami m parameter (p hardness characterization and automatic classification.