WorldWideScience

Sample records for sign recognition software

  1. Hardware/Software Co-Design of a Traffic Sign Recognition System Using Zynq FPGAs

    Directory of Open Access Journals (Sweden)

    Yan Han

    2015-12-01

    Full Text Available Traffic sign recognition (TSR, taken as an important component of an intelligent vehicle system, has been an emerging research topic in recent years. In this paper, a traffic sign detection system based on color segmentation, speeded-up robust features (SURF detection and the k-nearest neighbor classifier is introduced. The proposed system benefits from the SURF detection algorithm, which achieves invariance to rotated, skewed and occluded signs. In addition to the accuracy and robustness issues, a TSR system should target a real-time implementation on an embedded system. Therefore, a hardware/software co-design architecture for a Zynq-7000 FPGA is presented as a major objective of this work. The sign detection operations are accelerated by programmable hardware logic that searches the potential candidates for sign classification. Sign recognition and classification uses a feature extraction and matching algorithm, which is implemented as a software component that runs on the embedded ARM CPU.

  2. The Legal Recognition of Sign Languages

    Science.gov (United States)

    De Meulder, Maartje

    2015-01-01

    This article provides an analytical overview of the different types of explicit legal recognition of sign languages. Five categories are distinguished: constitutional recognition, recognition by means of general language legislation, recognition by means of a sign language law or act, recognition by means of a sign language law or act including…

  3. Sign language perception research for improving automatic sign language recognition

    NARCIS (Netherlands)

    Ten Holt, G.A.; Arendsen, J.; De Ridder, H.; Van Doorn, A.J.; Reinders, M.J.T.; Hendriks, E.A.

    2009-01-01

    Current automatic sign language recognition (ASLR) seldom uses perceptual knowledge about the recognition of sign language. Using such knowledge can improve ASLR because it can give an indication which elements or phases of a sign are important for its meaning. Also, the current generation of

  4. Automatic sign language recognition inspired by human sign perception

    NARCIS (Netherlands)

    Ten Holt, G.A.

    2010-01-01

    Automatic sign language recognition is a relatively new field of research (since ca. 1990). Its objectives are to automatically analyze sign language utterances. There are several issues within the research area that merit investigation: how to capture the utterances (cameras, magnetic sensors,

  5. Indoor sign recognition for the blind

    CSIR Research Space (South Africa)

    Kunene, D

    2016-09-01

    Full Text Available that is faster and more reliable. We first segment the signs by colour, and then by shape recognition. The sign-type classification is done using a tree search structure that enables the use of iterative contour descriptors like the speeded-up-robust features...

  6. Eigen-Gradients for Traffic Sign Recognition

    Directory of Open Access Journals (Sweden)

    Sheila Esmeralda Gonzalez-Reyna

    2013-01-01

    Full Text Available Traffic sign detection and recognition systems include a variety of applications like autonomous driving, road sign inventory, and driver support systems. Machine learning algorithms provide useful tools for traffic sign identification tasks. However, classification algorithms depend on the preprocessing stage to obtain high accuracy rates. This paper proposes a road sign characterization method based on oriented gradient maps and the Karhunen-Loeve transform in order to improve classification performance. Dimensionality reduction may be important for portable applications on resource constrained devices like FPGAs; therefore, our approach focuses on achieving a good classification accuracy by using a reduced amount of attributes compared to some state-of-the-art methods. The proposed method was tested using German Traffic Sign Recognition Benchmark, reaching a dimensionality reduction of 99.3% and a classification accuracy of 95.9% with a Multi-Layer Perceptron.

  7. Recognition of sign language gestures using neural networks

    Directory of Open Access Journals (Sweden)

    Simon Vamplew

    2007-04-01

    Full Text Available This paper describes the structure and performance of the SLARTI sign language recognition system developed at the University of Tasmania. SLARTI uses a modular architecture consisting of multiple feature-recognition neural networks and a nearest-neighbour classifier to recognise Australian sign language (Auslan hand gestures.

  8. Recognition of sign language gestures using neural networks

    OpenAIRE

    Simon Vamplew

    2007-01-01

    This paper describes the structure and performance of the SLARTI sign language recognition system developed at the University of Tasmania. SLARTI uses a modular architecture consisting of multiple feature-recognition neural networks and a nearest-neighbour classifier to recognise Australian sign language (Auslan) hand gestures.

  9. Traffic sign recognition with deep convolutional neural networks

    OpenAIRE

    Karamatić, Boris

    2016-01-01

    The problem of detection and recognition of traffic signs is becoming an important problem when it comes to the development of self driving cars and advanced driver assistance systems. In this thesis we will develop a system for detection and recognition of traffic signs. For the problem of detection we will use aggregate channel features and for the problem of recognition we will use a deep convolutional neural network. We will describe how convolutional neural networks work, how they are co...

  10. Research of convolutional neural networks for traffic sign recognition

    OpenAIRE

    Stadalnikas, Kasparas

    2017-01-01

    In this thesis the convolutional neural networks application for traffic sign recognition is analyzed. Thesis describes the basic operations, techniques that are commonly used to apply in the image classification using convolutional neural networks. Also, this paper describes the data sets used for traffic sign recognition, their problems affecting the final training results. The paper reviews most popular existing technologies – frameworks for developing the solution for traffic sign recogni...

  11. An Efficient Framework for Road Sign Detection and Recognition

    Directory of Open Access Journals (Sweden)

    Duanling Li

    2014-02-01

    Full Text Available Road sign detection and recognition is a significant and challenging issue not only for assisting drivers but also navigating mobile robots. In this paper, we propose a novel and fast approach for the automatic detection and recognition of road signs. First, we use Hue Saturation Intensity (HSI color space to segment the road signs color. And then we locate the road signs based on the geometry symmetry, as almost all the shapes of road sign shapes are symmetrical such circle, rectangle, triangle and octagon. The proposed shape feature is further applied to classify the shape initially. Finally, the road signs are exactly recognized by support vector machine (SVM classifiers. We test our proposed method on real road images and the experimental results show that it can detect and recognize road signs rapidly and accurately.

  12. Study on road sign recognition in LabVIEW

    Science.gov (United States)

    Panoiu, M.; Rat, C. L.; Panoiu, C.

    2016-02-01

    Road and traffic sign identification is a field of study that can be used to aid the development of in-car advisory systems. It uses computer vision and artificial intelligence to extract the road signs from outdoor images acquired by a camera in uncontrolled lighting conditions where they may be occluded by other objects, or may suffer from problems such as color fading, disorientation, variations in shape and size, etc. An automatic means of identifying traffic signs, in these conditions, can make a significant contribution to develop an Intelligent Transport Systems (ITS) that continuously monitors the driver, the vehicle, and the road. Road and traffic signs are characterized by a number of features which make them recognizable from the environment. Road signs are located in standard positions and have standard shapes, standard colors, and known pictograms. These characteristics make them suitable for image identification. Traffic sign identification covers two problems: traffic sign detection and traffic sign recognition. Traffic sign detection is meant for the accurate localization of traffic signs in the image space, while traffic sign recognition handles the labeling of such detections into specific traffic sign types or subcategories [1].

  13. Speed sign detection and recognition by convolutional neural networks

    NARCIS (Netherlands)

    Peemen, M.C.J.; Mesman, B.; Corporaal, H.

    2011-01-01

    From the desire to update the maximum road speed data for navigation devices, a speed sign recognition and detection system is proposed. This system should prevent accidental speeding at roads where the map data is incorrect for example due to construction work. Multiple examples of road sign

  14. Traffic signs recognition for driving assistance

    Science.gov (United States)

    Sai Sangram Reddy, Yatham; Karthik, Devareddy; Rana, Nikunj; Jasmine Pemeena Priyadarsini, M.; Rajini, G. K.; Naseera, Shaik

    2017-11-01

    In the current circumstances with the innovative headway, we must be able to provide assistance to the driving in recognising the traffic signs on the roads. At present time, many reviews are being directed moving in the direction of the usage of a keen Traffic Systems. One field of this exploration is driving support systems, and many reviews are being directed to create frameworks which distinguish and perceive street signs in front of the vehicle, and afterward utilize the data to advise the driver or to even control the vehicle by implementing this system on self-driving vehicles. In this paper we propose a method to detect the traffic sign board in a frame using HAAR cascading and then identifying the sign on it. The output may be either given out in voice or can be displayed as per the driver’s convenience. Each of the Traffic Sign is recognised using a database of images of symbols used to train the KNN classifier using open CV libraries.

  15. Indonesian Sign Language Number Recognition using SIFT Algorithm

    Science.gov (United States)

    Mahfudi, Isa; Sarosa, Moechammad; Andrie Asmara, Rosa; Azrino Gustalika, M.

    2018-04-01

    Indonesian sign language (ISL) is generally used for deaf individuals and poor people communication in communicating. They use sign language as their primary language which consists of 2 types of action: sign and finger spelling. However, not all people understand their sign language so that this becomes a problem for them to communicate with normal people. this problem also becomes a factor they are isolated feel from the social life. It needs a solution that can help them to be able to interacting with normal people. Many research that offers a variety of methods in solving the problem of sign language recognition based on image processing. SIFT (Scale Invariant Feature Transform) algorithm is one of the methods that can be used to identify an object. SIFT is claimed very resistant to scaling, rotation, illumination and noise. Using SIFT algorithm for Indonesian sign language recognition number result rate recognition to 82% with the use of a total of 100 samples image dataset consisting 50 sample for training data and 50 sample images for testing data. Change threshold value get affect the result of the recognition. The best value threshold is 0.45 with rate recognition of 94%.

  16. Simulation Analysis on Driving Behavior during Traffic Sign Recognition

    Directory of Open Access Journals (Sweden)

    Lishan Sun

    2011-05-01

    Full Text Available The traffic signs transfer trip information to drivers through vectors like words, graphs and numbers. Traffic sign with excessive information often makes the drivers have no time to read and understand, leading to risky driving. It is still a problem of how to clarify the relationship between traffic sign recognition and risky driving behavior. This paper presents a study that is reflective of such an effort. Twenty volunteers participated in the dynamic visual recognition experiment in driving simulator, and the data of several key indicators are obtained, including visual cognition time, vehicle acceleration and the offset distance from middle lane, etc. Correlations between each indicator above are discussed in terms of risky driving. Research findings directly show that drivers' behavior changes a lot during their traffic sign recognition.

  17. Sign Language Recognition using Neural Networks

    Directory of Open Access Journals (Sweden)

    Sabaheta Djogic

    2014-11-01

    Full Text Available – Sign language plays a great role as communication media for people with hearing difficulties.In developed countries, systems are made for overcoming a problem in communication with deaf people. This encouraged us to develop a system for the Bosnian sign language since there is a need for such system. The work is done with the use of digital image processing methods providing a system that teaches a multilayer neural network using a back propagation algorithm. Images are processed by feature extraction methods, and by masking method the data set has been created. Training is done using cross validation method for better performance thus; an accuracy of 84% is achieved.

  18. Signing and security of Hue software

    NARCIS (Netherlands)

    Anastasov, I.

    2017-01-01

    Developing software for the Hue devices poses plenty of challenges among the engineers at Philips Lighting. These challenges arise at each stage of the Software Development Life-Cycle (SDLC). Improvement of it is of immense importance to the Philips Lighting. This report describes a project which

  19. Research on Recognition and Evaluation of Traffic Guide Sign

    OpenAIRE

    Li Yuan; Ming-jie Cai; Tang-yi Guo; Yu Jiang

    2015-01-01

    Traffic guide signs are effective only when they are clearly recognized by drivers. Three experiments were conducted in this study. In the first, the influence factors of guide sign recognition were studied. This study investigated 11 main factors with a convenience sample of drivers from Nanjing city in China. Weights of different influence factors were obtained through analytic hierarchy process (AHP). The results showed that the setting position, occlusion degree, and character size of gui...

  20. Bi-channel Sensor Fusion for Automatic Sign Language Recognition

    DEFF Research Database (Denmark)

    Kim, Jonghwa; Wagner, Johannes; Rehm, Matthias

    2008-01-01

    In this paper, we investigate the mutual-complementary functionality of accelerometer (ACC) and electromyogram (EMG) for recognizing seven word-level sign vocabularies in German sign language (GSL). Results are discussed for the single channels and for feature-level fusion for the bichannel senso......-independent condition, where subjective differences do not allow for high recognition rates. Finally we discuss a problem of feature-level fusion caused by high disparity between accuracies of each single channel classification....

  1. Recognition of Indian Sign Language in Live Video

    Science.gov (United States)

    Singha, Joyeeta; Das, Karen

    2013-05-01

    Sign Language Recognition has emerged as one of the important area of research in Computer Vision. The difficulty faced by the researchers is that the instances of signs vary with both motion and appearance. Thus, in this paper a novel approach for recognizing various alphabets of Indian Sign Language is proposed where continuous video sequences of the signs have been considered. The proposed system comprises of three stages: Preprocessing stage, Feature Extraction and Classification. Preprocessing stage includes skin filtering, histogram matching. Eigen values and Eigen Vectors were considered for feature extraction stage and finally Eigen value weighted Euclidean distance is used to recognize the sign. It deals with bare hands, thus allowing the user to interact with the system in natural way. We have considered 24 different alphabets in the video sequences and attained a success rate of 96.25%.

  2. Face Recognition Is Shaped by the Use of Sign Language

    Science.gov (United States)

    Stoll, Chloé; Palluel-Germain, Richard; Caldara, Roberto; Lao, Junpeng; Dye, Matthew W. G.; Aptel, Florent; Pascalis, Olivier

    2018-01-01

    Previous research has suggested that early deaf signers differ in face processing. Which aspects of face processing are changed and the role that sign language may have played in that change are however unclear. Here, we compared face categorization (human/non-human) and human face recognition performance in early profoundly deaf signers, hearing…

  3. Application of machine learning methods for traffic signs recognition

    Science.gov (United States)

    Filatov, D. V.; Ignatev, K. V.; Deviatkin, A. V.; Serykh, E. V.

    2018-02-01

    This paper focuses on solving a relevant and pressing safety issue on intercity roads. Two approaches were considered for solving the problem of traffic signs recognition; the approaches involved neural networks to analyze images obtained from a camera in the real-time mode. The first approach is based on a sequential image processing. At the initial stage, with the help of color filters and morphological operations (dilatation and erosion), the area containing the traffic sign is located on the image, then the selected and scaled fragment of the image is analyzed using a feedforward neural network to determine the meaning of the found traffic sign. Learning of the neural network in this approach is carried out using a backpropagation method. The second approach involves convolution neural networks at both stages, i.e. when searching and selecting the area of the image containing the traffic sign, and when determining its meaning. Learning of the neural network in the second approach is carried out using the intersection over union function and a loss function. For neural networks to learn and the proposed algorithms to be tested, a series of videos from a dash cam were used that were shot under various weather and illumination conditions. As a result, the proposed approaches for traffic signs recognition were analyzed and compared by key indicators such as recognition rate percentage and the complexity of neural networks’ learning process.

  4. Road Sign Recognition with Fuzzy Adaptive Pre-Processing Models

    Science.gov (United States)

    Lin, Chien-Chuan; Wang, Ming-Shi

    2012-01-01

    A road sign recognition system based on adaptive image pre-processing models using two fuzzy inference schemes has been proposed. The first fuzzy inference scheme is to check the changes of the light illumination and rich red color of a frame image by the checking areas. The other is to check the variance of vehicle's speed and angle of steering wheel to select an adaptive size and position of the detection area. The Adaboost classifier was employed to detect the road sign candidates from an image and the support vector machine technique was employed to recognize the content of the road sign candidates. The prohibitory and warning road traffic signs are the processing targets in this research. The detection rate in the detection phase is 97.42%. In the recognition phase, the recognition rate is 93.04%. The total accuracy rate of the system is 92.47%. For video sequences, the best accuracy rate is 90.54%, and the average accuracy rate is 80.17%. The average computing time is 51.86 milliseconds per frame. The proposed system can not only overcome low illumination and rich red color around the road sign problems but also offer high detection rates and high computing performance. PMID:22778650

  5. Continuous Chinese sign language recognition with CNN-LSTM

    Science.gov (United States)

    Yang, Su; Zhu, Qing

    2017-07-01

    The goal of sign language recognition (SLR) is to translate the sign language into text, and provide a convenient tool for the communication between the deaf-mute and the ordinary. In this paper, we formulate an appropriate model based on convolutional neural network (CNN) combined with Long Short-Term Memory (LSTM) network, in order to accomplish the continuous recognition work. With the strong ability of CNN, the information of pictures captured from Chinese sign language (CSL) videos can be learned and transformed into vector. Since the video can be regarded as an ordered sequence of frames, LSTM model is employed to connect with the fully-connected layer of CNN. As a recurrent neural network (RNN), it is suitable for sequence learning tasks with the capability of recognizing patterns defined by temporal distance. Compared with traditional RNN, LSTM has performed better on storing and accessing information. We evaluate this method on our self-built dataset including 40 daily vocabularies. The experimental results show that the recognition method with CNN-LSTM can achieve a high recognition rate with small training sets, which will meet the needs of real-time SLR system.

  6. Sign language recognition and translation: a multidisciplined approach from the field of artificial intelligence.

    Science.gov (United States)

    Parton, Becky Sue

    2006-01-01

    In recent years, research has progressed steadily in regard to the use of computers to recognize and render sign language. This paper reviews significant projects in the field beginning with finger-spelling hands such as "Ralph" (robotics), CyberGloves (virtual reality sensors to capture isolated and continuous signs), camera-based projects such as the CopyCat interactive American Sign Language game (computer vision), and sign recognition software (Hidden Markov Modeling and neural network systems). Avatars such as "Tessa" (Text and Sign Support Assistant; three-dimensional imaging) and spoken language to sign language translation systems such as Poland's project entitled "THETOS" (Text into Sign Language Automatic Translator, which operates in Polish; natural language processing) are addressed. The application of this research to education is also explored. The "ICICLE" (Interactive Computer Identification and Correction of Language Errors) project, for example, uses intelligent computer-aided instruction to build a tutorial system for deaf or hard-of-hearing children that analyzes their English writing and makes tailored lessons and recommendations. Finally, the article considers synthesized sign, which is being added to educational material and has the potential to be developed by students themselves.

  7. Recognition of Arabic Sign Language Alphabet Using Polynomial Classifiers

    Directory of Open Access Journals (Sweden)

    M. Al-Rousan

    2005-08-01

    Full Text Available Building an accurate automatic sign language recognition system is of great importance in facilitating efficient communication with deaf people. In this paper, we propose the use of polynomial classifiers as a classification engine for the recognition of Arabic sign language (ArSL alphabet. Polynomial classifiers have several advantages over other classifiers in that they do not require iterative training, and that they are highly computationally scalable with the number of classes. Based on polynomial classifiers, we have built an ArSL system and measured its performance using real ArSL data collected from deaf people. We show that the proposed system provides superior recognition results when compared with previously published results using ANFIS-based classification on the same dataset and feature extraction methodology. The comparison is shown in terms of the number of misclassified test patterns. The reduction in the rate of misclassified patterns was very significant. In particular, we have achieved a 36% reduction of misclassifications on the training data and 57% on the test data.

  8. Traffic sign recognition based on deep convolutional neural network

    Science.gov (United States)

    Yin, Shi-hao; Deng, Ji-cai; Zhang, Da-wei; Du, Jing-yuan

    2017-11-01

    Traffic sign recognition (TSR) is an important component of automated driving systems. It is a rather challenging task to design a high-performance classifier for the TSR system. In this paper, we propose a new method for TSR system based on deep convolutional neural network. In order to enhance the expression of the network, a novel structure (dubbed block-layer below) which combines network-in-network and residual connection is designed. Our network has 10 layers with parameters (block-layer seen as a single layer): the first seven are alternate convolutional layers and block-layers, and the remaining three are fully-connected layers. We train our TSR network on the German traffic sign recognition benchmark (GTSRB) dataset. To reduce overfitting, we perform data augmentation on the training images and employ a regularization method named "dropout". The activation function we employ in our network adopts scaled exponential linear units (SELUs), which can induce self-normalizing properties. To speed up the training, we use an efficient GPU to accelerate the convolutional operation. On the test dataset of GTSRB, we achieve the accuracy rate of 99.67%, exceeding the state-of-the-art results.

  9. Fast Traffic Sign Recognition with a Rotation Invariant Binary Pattern Based Feature

    Directory of Open Access Journals (Sweden)

    Shouyi Yin

    2015-01-01

    Full Text Available Robust and fast traffic sign recognition is very important but difficult for safe driving assistance systems. This study addresses fast and robust traffic sign recognition to enhance driving safety. The proposed method includes three stages. First, a typical Hough transformation is adopted to implement coarse-grained location of the candidate regions of traffic signs. Second, a RIBP (Rotation Invariant Binary Pattern based feature in the affine and Gaussian space is proposed to reduce the time of traffic sign detection and achieve robust traffic sign detection in terms of scale, rotation, and illumination. Third, the techniques of ANN (Artificial Neutral Network based feature dimension reduction and classification are designed to reduce the traffic sign recognition time. Compared with the current work, the experimental results in the public datasets show that this work achieves robustness in traffic sign recognition with comparable recognition accuracy and faster processing speed, including training speed and recognition speed.

  10. American Sign Language Alphabet Recognition Using a Neuromorphic Sensor and an Artificial Neural Network

    Directory of Open Access Journals (Sweden)

    Miguel Rivera-Acosta

    2017-09-01

    Full Text Available This paper reports the design and analysis of an American Sign Language (ASL alphabet translation system implemented in hardware using a Field-Programmable Gate Array. The system process consists of three stages, the first being the communication with the neuromorphic camera (also called Dynamic Vision Sensor, DVS sensor using the Universal Serial Bus protocol. The feature extraction of the events generated by the DVS is the second part of the process, consisting of a presentation of the digital image processing algorithms developed in software, which aim to reduce redundant information and prepare the data for the third stage. The last stage of the system process is the classification of the ASL alphabet, achieved with a single artificial neural network implemented in digital hardware for higher speed. The overall result is the development of a classification system using the ASL signs contour, fully implemented in a reconfigurable device. The experimental results consist of a comparative analysis of the recognition rate among the alphabet signs using the neuromorphic camera in order to prove the proper operation of the digital image processing algorithms. In the experiments performed with 720 samples of 24 signs, a recognition accuracy of 79.58% was obtained.

  11. Arabic sign language recognition based on HOG descriptor

    Science.gov (United States)

    Ben Jmaa, Ahmed; Mahdi, Walid; Ben Jemaa, Yousra; Ben Hamadou, Abdelmajid

    2017-02-01

    We present in this paper a new approach for Arabic sign language (ArSL) alphabet recognition using hand gesture analysis. This analysis consists in extracting a histogram of oriented gradient (HOG) features from a hand image and then using them to generate an SVM Models. Which will be used to recognize the ArSL alphabet in real-time from hand gesture using a Microsoft Kinect camera. Our approach involves three steps: (i) Hand detection and localization using a Microsoft Kinect camera, (ii) hand segmentation and (iii) feature extraction using Arabic alphabet recognition. One each input image first obtained by using a depth sensor, we apply our method based on hand anatomy to segment hand and eliminate all the errors pixels. This approach is invariant to scale, to rotation and to translation of the hand. Some experimental results show the effectiveness of our new approach. Experiment revealed that the proposed ArSL system is able to recognize the ArSL with an accuracy of 90.12%.

  12. Methods and Software Architecture for Activity Recognition from Position Data

    DEFF Research Database (Denmark)

    Godsk, Torben

    This thesis describes my studies on the subject of recognizing cow activities from satellite based position data. The studies comprise methods and software architecture for activity recognition from position data, applied to cow activity recognition. The development of methods and software....... The results of these calculations are applied to a given standard machine learning algorithm, and the activity, performed by the cow as the measurements were recorded, is recognized. The software architecture integrates these methods and ensures flexible activity recognition. For instance, it is flexible...... in relation to the use of different sensors modalities and/or within different domains. In addition, the methods and their integration with the software architecture ensures both robust and accurate activity recognition. Utilized, it enables me to classify the five activities robustly and with high success...

  13. Extricating Manual and Non-Manual Features for Subunit Level Medical Sign Modelling in Automatic Sign Language Classification and Recognition.

    Science.gov (United States)

    R, Elakkiya; K, Selvamani

    2017-09-22

    Subunit segmenting and modelling in medical sign language is one of the important studies in linguistic-oriented and vision-based Sign Language Recognition (SLR). Many efforts were made in the precedent to focus the functional subunits from the view of linguistic syllables but the problem is implementing such subunit extraction using syllables is not feasible in real-world computer vision techniques. And also, the present recognition systems are designed in such a way that it can detect the signer dependent actions under restricted and laboratory conditions. This research paper aims at solving these two important issues (1) Subunit extraction and (2) Signer independent action on visual sign language recognition. Subunit extraction involved in the sequential and parallel breakdown of sign gestures without any prior knowledge on syllables and number of subunits. A novel Bayesian Parallel Hidden Markov Model (BPaHMM) is introduced for subunit extraction to combine the features of manual and non-manual parameters to yield better results in classification and recognition of signs. Signer independent action aims in using a single web camera for different signer behaviour patterns and for cross-signer validation. Experimental results have proved that the proposed signer independent subunit level modelling for sign language classification and recognition has shown improvement and variations when compared with other existing works.

  14. Mexican sign language recognition using normalized moments and artificial neural networks

    Science.gov (United States)

    Solís-V., J.-Francisco; Toxqui-Quitl, Carina; Martínez-Martínez, David; H.-G., Margarita

    2014-09-01

    This work presents a framework designed for the Mexican Sign Language (MSL) recognition. A data set was recorded with 24 static signs from the MSL using 5 different versions, this MSL dataset was captured using a digital camera in incoherent light conditions. Digital Image Processing was used to segment hand gestures, a uniform background was selected to avoid using gloved hands or some special markers. Feature extraction was performed by calculating normalized geometric moments of gray scaled signs, then an Artificial Neural Network performs the recognition using a 10-fold cross validation tested in weka, the best result achieved 95.83% of recognition rate.

  15. The Pandora software development kit for pattern recognition

    Energy Technology Data Exchange (ETDEWEB)

    Marshall, J.S.; Thomson, M.A. [University of Cambridge, Cavendish Laboratory, Cambridge (United Kingdom)

    2015-09-15

    The development of automated solutions to pattern recognition problems is important in many areas of scientific research and human endeavour. This paper describes the implementation of the Pandora software development kit, which aids the process of designing, implementing and running pattern recognition algorithms. The Pandora Application Programming Interfaces ensure simple specification of the building-blocks defining a pattern recognition problem. The logic required to solve the problem is implemented in algorithms. The algorithms request operations to create or modify data structures and the operations are performed by the Pandora framework. This design promotes an approach using many decoupled algorithms, each addressing specific topologies. Details of algorithms addressing two pattern recognition problems in High Energy Physics are presented: reconstruction of events at a high-energy e{sup +}e{sup -} linear collider and reconstruction of cosmic ray or neutrino events in a liquid argon time projection chamber. (orig.)

  16. A Kinect-Based Sign Language Hand Gesture Recognition System for Hearing- and Speech-Impaired: A Pilot Study of Pakistani Sign Language.

    Science.gov (United States)

    Halim, Zahid; Abbas, Ghulam

    2015-01-01

    Sign language provides hearing and speech impaired individuals with an interface to communicate with other members of the society. Unfortunately, sign language is not understood by most of the common people. For this, a gadget based on image processing and pattern recognition can provide with a vital aid for detecting and translating sign language into a vocal language. This work presents a system for detecting and understanding the sign language gestures by a custom built software tool and later translating the gesture into a vocal language. For the purpose of recognizing a particular gesture, the system employs a Dynamic Time Warping (DTW) algorithm and an off-the-shelf software tool is employed for vocal language generation. Microsoft(®) Kinect is the primary tool used to capture video stream of a user. The proposed method is capable of successfully detecting gestures stored in the dictionary with an accuracy of 91%. The proposed system has the ability to define and add custom made gestures. Based on an experiment in which 10 individuals with impairments used the system to communicate with 5 people with no disability, 87% agreed that the system was useful.

  17. Review of Data Preprocessing Methods for Sign Language Recognition Systems based on Artificial Neural Networks

    Directory of Open Access Journals (Sweden)

    Zorins Aleksejs

    2016-12-01

    Full Text Available The article presents an introductory analysis of relevant research topic for Latvian deaf society, which is the development of the Latvian Sign Language Recognition System. More specifically the data preprocessing methods are discussed in the paper and several approaches are shown with a focus on systems based on artificial neural networks, which are one of the most successful solutions for sign language recognition task.

  18. Behavioral biometrics for verification and recognition of malicious software agents

    Science.gov (United States)

    Yampolskiy, Roman V.; Govindaraju, Venu

    2008-04-01

    Homeland security requires technologies capable of positive and reliable identification of humans for law enforcement, government, and commercial applications. As artificially intelligent agents improve in their abilities and become a part of our everyday life, the possibility of using such programs for undermining homeland security increases. Virtual assistants, shopping bots, and game playing programs are used daily by millions of people. We propose applying statistical behavior modeling techniques developed by us for recognition of humans to the identification and verification of intelligent and potentially malicious software agents. Our experimental results demonstrate feasibility of such methods for both artificial agent verification and even for recognition purposes.

  19. A Component-Based Vocabulary-Extensible Sign Language Gesture Recognition Framework.

    Science.gov (United States)

    Wei, Shengjing; Chen, Xiang; Yang, Xidong; Cao, Shuai; Zhang, Xu

    2016-04-19

    Sign language recognition (SLR) can provide a helpful tool for the communication between the deaf and the external world. This paper proposed a component-based vocabulary extensible SLR framework using data from surface electromyographic (sEMG) sensors, accelerometers (ACC), and gyroscopes (GYRO). In this framework, a sign word was considered to be a combination of five common sign components, including hand shape, axis, orientation, rotation, and trajectory, and sign classification was implemented based on the recognition of five components. Especially, the proposed SLR framework consisted of two major parts. The first part was to obtain the component-based form of sign gestures and establish the code table of target sign gesture set using data from a reference subject. In the second part, which was designed for new users, component classifiers were trained using a training set suggested by the reference subject and the classification of unknown gestures was performed with a code matching method. Five subjects participated in this study and recognition experiments under different size of training sets were implemented on a target gesture set consisting of 110 frequently-used Chinese Sign Language (CSL) sign words. The experimental results demonstrated that the proposed framework can realize large-scale gesture set recognition with a small-scale training set. With the smallest training sets (containing about one-third gestures of the target gesture set) suggested by two reference subjects, (82.6 ± 13.2)% and (79.7 ± 13.4)% average recognition accuracy were obtained for 110 words respectively, and the average recognition accuracy climbed up to (88 ± 13.7)% and (86.3 ± 13.7)% when the training set included 50~60 gestures (about half of the target gesture set). The proposed framework can significantly reduce the user's training burden in large-scale gesture recognition, which will facilitate the implementation of a practical SLR system.

  20. A Component-Based Vocabulary-Extensible Sign Language Gesture Recognition Framework

    Directory of Open Access Journals (Sweden)

    Shengjing Wei

    2016-04-01

    Full Text Available Sign language recognition (SLR can provide a helpful tool for the communication between the deaf and the external world. This paper proposed a component-based vocabulary extensible SLR framework using data from surface electromyographic (sEMG sensors, accelerometers (ACC, and gyroscopes (GYRO. In this framework, a sign word was considered to be a combination of five common sign components, including hand shape, axis, orientation, rotation, and trajectory, and sign classification was implemented based on the recognition of five components. Especially, the proposed SLR framework consisted of two major parts. The first part was to obtain the component-based form of sign gestures and establish the code table of target sign gesture set using data from a reference subject. In the second part, which was designed for new users, component classifiers were trained using a training set suggested by the reference subject and the classification of unknown gestures was performed with a code matching method. Five subjects participated in this study and recognition experiments under different size of training sets were implemented on a target gesture set consisting of 110 frequently-used Chinese Sign Language (CSL sign words. The experimental results demonstrated that the proposed framework can realize large-scale gesture set recognition with a small-scale training set. With the smallest training sets (containing about one-third gestures of the target gesture set suggested by two reference subjects, (82.6 ± 13.2% and (79.7 ± 13.4% average recognition accuracy were obtained for 110 words respectively, and the average recognition accuracy climbed up to (88 ± 13.7% and (86.3 ± 13.7% when the training set included 50~60 gestures (about half of the target gesture set. The proposed framework can significantly reduce the user’s training burden in large-scale gesture recognition, which will facilitate the implementation of a practical SLR system.

  1. Voice recognition software can be used for scientific articles

    DEFF Research Database (Denmark)

    Pommergaard, Hans-Christian; Huang, Chenxi; Burcharth, Jacob

    2015-01-01

    INTRODUCTION: Dictation of scientific articles has been recognised as an efficient method for producing high-quality, first article drafts. However, standardised transcription service by a secretary may not be available for all researchers and voice recognition software (VRS) may therefore...... with a median score of five (range: 3-9), which was improved with the addition of 5,000 words. CONCLUSION: The out-of-the-box performance of VRS was acceptable and improved after additional words were added. Further studies are needed to investigate the effect of additional software accuracy training....

  2. Sign Language Recognition with the Kinect Sensor Based on Conditional Random Fields

    Directory of Open Access Journals (Sweden)

    Hee-Deok Yang

    2014-12-01

    Full Text Available Sign language is a visual language used by deaf people. One difficulty of sign language recognition is that sign instances of vary in both motion and shape in three-dimensional (3D space. In this research, we use 3D depth information from hand motions, generated from Microsoft’s Kinect sensor and apply a hierarchical conditional random field (CRF that recognizes hand signs from the hand motions. The proposed method uses a hierarchical CRF to detect candidate segments of signs using hand motions, and then a BoostMap embedding method to verify the hand shapes of the segmented signs. Experiments demonstrated that the proposed method could recognize signs from signed sentence data at a rate of 90.4%.

  3. A Kinect based sign language recognition system using spatio-temporal features

    Science.gov (United States)

    Memiş, Abbas; Albayrak, Songül

    2013-12-01

    This paper presents a sign language recognition system that uses spatio-temporal features on RGB video images and depth maps for dynamic gestures of Turkish Sign Language. Proposed system uses motion differences and accumulation approach for temporal gesture analysis. Motion accumulation method, which is an effective method for temporal domain analysis of gestures, produces an accumulated motion image by combining differences of successive video frames. Then, 2D Discrete Cosine Transform (DCT) is applied to accumulated motion images and temporal domain features transformed into spatial domain. These processes are performed on both RGB images and depth maps separately. DCT coefficients that represent sign gestures are picked up via zigzag scanning and feature vectors are generated. In order to recognize sign gestures, K-Nearest Neighbor classifier with Manhattan distance is performed. Performance of the proposed sign language recognition system is evaluated on a sign database that contains 1002 isolated dynamic signs belongs to 111 words of Turkish Sign Language (TSL) in three different categories. Proposed sign language recognition system has promising success rates.

  4. Real-Time (Vision-Based) Road Sign Recognition Using an Artificial Neural Network

    Science.gov (United States)

    Islam, Kh Tohidul; Raj, Ram Gopal

    2017-01-01

    Road sign recognition is a driver support function that can be used to notify and warn the driver by showing the restrictions that may be effective on the current stretch of road. Examples for such regulations are ‘traffic light ahead’ or ‘pedestrian crossing’ indications. The present investigation targets the recognition of Malaysian road and traffic signs in real-time. Real-time video is taken by a digital camera from a moving vehicle and real world road signs are then extracted using vision-only information. The system is based on two stages, one performs the detection and another one is for recognition. In the first stage, a hybrid color segmentation algorithm has been developed and tested. In the second stage, an introduced robust custom feature extraction method is used for the first time in a road sign recognition approach. Finally, a multilayer artificial neural network (ANN) has been created to recognize and interpret various road signs. It is robust because it has been tested on both standard and non-standard road signs with significant recognition accuracy. This proposed system achieved an average of 99.90% accuracy with 99.90% of sensitivity, 99.90% of specificity, 99.90% of f-measure, and 0.001 of false positive rate (FPR) with 0.3 s computational time. This low FPR can increase the system stability and dependability in real-time applications. PMID:28406471

  5. Real-Time (Vision-Based) Road Sign Recognition Using an Artificial Neural Network.

    Science.gov (United States)

    Islam, Kh Tohidul; Raj, Ram Gopal

    2017-04-13

    Road sign recognition is a driver support function that can be used to notify and warn the driver by showing the restrictions that may be effective on the current stretch of road. Examples for such regulations are 'traffic light ahead' or 'pedestrian crossing' indications. The present investigation targets the recognition of Malaysian road and traffic signs in real-time. Real-time video is taken by a digital camera from a moving vehicle and real world road signs are then extracted using vision-only information. The system is based on two stages, one performs the detection and another one is for recognition. In the first stage, a hybrid color segmentation algorithm has been developed and tested. In the second stage, an introduced robust custom feature extraction method is used for the first time in a road sign recognition approach. Finally, a multilayer artificial neural network (ANN) has been created to recognize and interpret various road signs. It is robust because it has been tested on both standard and non-standard road signs with significant recognition accuracy. This proposed system achieved an average of 99.90% accuracy with 99.90% of sensitivity, 99.90% of specificity, 99.90% of f-measure, and 0.001 of false positive rate (FPR) with 0.3 s computational time. This low FPR can increase the system stability and dependability in real-time applications.

  6. Mothers' recognition of newborn danger signs and health seeking ...

    African Journals Online (AJOL)

    The mothers were asked to identify danger signs of neonatal illness from a list of symptoms, to indicate which of the listed symptoms their babies experienced, to state what actions were taken in ... Unconsciousness and excessive crying were thought to be caused by evil spirits and consultations sought with faith healers.

  7. Real-time traffic sign recognition based on a general purpose GPU and deep-learning.

    Science.gov (United States)

    Lim, Kwangyong; Hong, Yongwon; Choi, Yeongwoo; Byun, Hyeran

    2017-01-01

    We present a General Purpose Graphics Processing Unit (GPGPU) based real-time traffic sign detection and recognition method that is robust against illumination changes. There have been many approaches to traffic sign recognition in various research fields; however, previous approaches faced several limitations when under low illumination or wide variance of light conditions. To overcome these drawbacks and improve processing speeds, we propose a method that 1) is robust against illumination changes, 2) uses GPGPU-based real-time traffic sign detection, and 3) performs region detecting and recognition using a hierarchical model. This method produces stable results in low illumination environments. Both detection and hierarchical recognition are performed in real-time, and the proposed method achieves 0.97 F1-score on our collective dataset, which uses the Vienna convention traffic rules (Germany and South Korea).

  8. Static sign language recognition using 1D descriptors and neural networks

    Science.gov (United States)

    Solís, José F.; Toxqui, Carina; Padilla, Alfonso; Santiago, César

    2012-10-01

    A frame work for static sign language recognition using descriptors which represents 2D images in 1D data and artificial neural networks is presented in this work. The 1D descriptors were computed by two methods, first one consists in a correlation rotational operator.1 and second is based on contour analysis of hand shape. One of the main problems in sign language recognition is segmentation; most of papers report a special color in gloves or background for hand shape analysis. In order to avoid the use of gloves or special clothing, a thermal imaging camera was used to capture images. Static signs were picked up from 1 to 9 digits of American Sign Language, a multilayer perceptron reached 100% recognition with cross-validation.

  9. Software for roof defects recognition on aerial photographs

    Science.gov (United States)

    Yudin, D.; Naumov, A.; Dolzhenko, A.; Patrakova, E.

    2018-05-01

    The article presents information on software for roof defects recognition on aerial photographs, made with air drones. An areal image segmentation mechanism is described. It allows detecting roof defects – unsmoothness that causes water stagnation after rain. It is shown that HSV-transformation approach allows quick detection of stagnation areas, their size and perimeters, but is sensitive to shadows and changes of the roofing-types. Deep Fully Convolutional Network software solution eliminates this drawback. The tested data set consists of the roofing photos with defects and binary masks for them. FCN approach gave acceptable results of image segmentation in Dice metric average value. This software can be used in inspection automation of roof conditions in the production sector and housing and utilities infrastructure.

  10. ANFIS Based Methodology for Sign Language Recognition and Translating to Number in Kannada Language

    Directory of Open Access Journals (Sweden)

    Ramesh Mahadev kagalkar

    2017-03-01

    Full Text Available In the world of signing and gestures, lots of analysis work has been done over the past three decades. This has led to a gradual transition from isolated to continuous, and static to dynamic gesture recognition for operations on a restricted vocabulary. In gift state of affairs, human machine interactive systems facilitate communication between the deaf, and hearing impaired in universe things. So as to boost the accuracy of recognition, several researchers have deployed strategies like HMM, Artificial Neural Networks, and Kinect platform. Effective algorithms for segmentation, classification, pattern matching and recognition have evolved. The most purpose of this paper is to investigate these strategies and to effectively compare them, which can alter the reader to succeed in associate in nursing optimum resolution. This creates each, challenges and opportunities for signing recognition connected analysis. Normal 0 false false false DE JA X-NONE

  11. Voice recognition software can be used for scientific articles

    DEFF Research Database (Denmark)

    Pommergaard, Hans-Christian; Huang, Chenxi; Burcharth, Jacob

    2015-01-01

    INTRODUCTION: Dictation of scientific articles has been recognised as an efficient method for producing high-quality, first article drafts. However, standardised transcription service by a secretary may not be available for all researchers and voice recognition software (VRS) may therefore...... be an alternative. The purpose of this study was to evaluate the out-of-the-box accuracy of VRS. METHODS: Eleven young researchers without dictation experience dictated the first draft of their own scientific article after thorough preparation according to a pre-defined schedule. The dictate transcribed by VRS...

  12. Multi-ROI Association and Tracking With Belief Functions: Application to Traffic Sign Recognition

    OpenAIRE

    Boumediene , Mohammed; Lauffenburger , Jean-Philippe; Daniel , Jérémie; Cudel , Christophe; Ouamri , Abdelaziz

    2014-01-01

    International audience; —This paper presents an object tracking algorithm using belief functions applied to vision-based traffic sign recognition systems. This algorithm tracks detected sign candidates over time in order to reduce false positives due to data fusion formalization. In the first stage, regions of interest (ROIs) are detected and combined using the transferable belief model semantics. In the second stage, the local pignistic probability algorithm generates the associations maximi...

  13. Complete Vision-Based Traffic Sign Recognition Supported by an I2V Communication System

    Directory of Open Access Journals (Sweden)

    Miguel Gavilán

    2012-01-01

    Full Text Available This paper presents a complete traffic sign recognition system based on vision sensor onboard a moving vehicle which detects and recognizes up to one hundred of the most important road signs, including circular and triangular signs. A restricted Hough transform is used as detection method from the information extracted in contour images, while the proposed recognition system is based on Support Vector Machines (SVM. A novel solution to the problem of discarding detected signs that do not pertain to the host road is proposed. For that purpose infrastructure-to-vehicle (I2V communication and a stereo vision sensor are used. Furthermore, the outputs provided by the vision sensor and the data supplied by the CAN Bus and a GPS sensor are combined to obtain the global position of the detected traffic signs, which is used to identify a traffic sign in the I2V communication. This paper presents plenty of tests in real driving conditions, both day and night, in which an average detection rate over 95% and an average recognition rate around 93% were obtained with an average runtime of 35 ms that allows real-time performance.

  14. Complete vision-based traffic sign recognition supported by an I2V communication system.

    Science.gov (United States)

    García-Garrido, Miguel A; Ocaña, Manuel; Llorca, David F; Arroyo, Estefanía; Pozuelo, Jorge; Gavilán, Miguel

    2012-01-01

    This paper presents a complete traffic sign recognition system based on vision sensor onboard a moving vehicle which detects and recognizes up to one hundred of the most important road signs, including circular and triangular signs. A restricted Hough transform is used as detection method from the information extracted in contour images, while the proposed recognition system is based on Support Vector Machines (SVM). A novel solution to the problem of discarding detected signs that do not pertain to the host road is proposed. For that purpose infrastructure-to-vehicle (I2V) communication and a stereo vision sensor are used. Furthermore, the outputs provided by the vision sensor and the data supplied by the CAN Bus and a GPS sensor are combined to obtain the global position of the detected traffic signs, which is used to identify a traffic sign in the I2V communication. This paper presents plenty of tests in real driving conditions, both day and night, in which an average detection rate over 95% and an average recognition rate around 93% were obtained with an average runtime of 35 ms that allows real-time performance.

  15. ASL Handshape Stories, Word Recognition and Signing Deaf Readers: An Exploratory Study

    Science.gov (United States)

    Gietz, Merrilee R.

    2013-01-01

    The effectiveness of using American Sign Language (ASL) handshape stories to teach word recognition in whole stories using a descriptive case study approach was explored. Four profoundly deaf children ages 7 to 8, enrolled in a self-contained deaf education classroom in a public school in the south participated in the story time five-week…

  16. Evaluating Effects of Language Recognition on Language Rights and the Vitality of New Zealand Sign Language

    Science.gov (United States)

    McKee, Rachel Locker; Manning, Victoria

    2015-01-01

    Status planning through legislation made New Zealand Sign Language (NZSL) an official language in 2006. But this strong symbolic action did not create resources or mechanisms to further the aims of the act. In this article we discuss the extent to which legal recognition and ensuing language-planning activities by state and community have affected…

  17. Voice recognition software can be used for scientific articles.

    Science.gov (United States)

    Pommergaard, Hans-Christian; Huang, Chenxi; Burcharth, Jacob; Rosenberg, Jacob

    2015-02-01

    Dictation of scientific articles has been recognised as an efficient method for producing high-quality, first article drafts. However, standardised transcription service by a secretary may not be available for all researchers and voice recognition software (VRS) may therefore be an alternative. The purpose of this study was to evaluate the out-of-the-box accuracy of VRS. Eleven young researchers without dictation experience dictated the first draft of their own scientific article after thorough preparation according to a pre-defined schedule. The dictate transcribed by VRS was compared with the same dictate transcribed by an experienced research secretary, and the effect of adding words to the vocabulary of the VRS was investigated. The number of errors per hundred words was used as outcome. Furthermore, three experienced researchers assessed the subjective readability using a Likert scale (0-10). Dragon Nuance Premium version 12.5 was used as VRS. The median number of errors per hundred words was 18 (range: 8.5-24.3), which improved when 15,000 words were added to the vocabulary. Subjective readability assessment showed that the texts were understandable with a median score of five (range: 3-9), which was improved with the addition of 5,000 words. The out-of-the-box performance of VRS was acceptable and improved after additional words were added. Further studies are needed to investigate the effect of additional software accuracy training.

  18. Sign Language Recognition System using Neural Network for Digital Hardware Implementation

    International Nuclear Information System (INIS)

    Vargas, Lorena P; Barba, Leiner; Torres, C O; Mattos, L

    2011-01-01

    This work presents an image pattern recognition system using neural network for the identification of sign language to deaf people. The system has several stored image that show the specific symbol in this kind of language, which is employed to teach a multilayer neural network using a back propagation algorithm. Initially, the images are processed to adapt them and to improve the performance of discriminating of the network, including in this process of filtering, reduction and elimination noise algorithms as well as edge detection. The system is evaluated using the signs without including movement in their representation.

  19. A Real-time Face/Hand Tracking Method for Chinese Sign Language Recognition

    Institute of Scientific and Technical Information of China (English)

    2002-01-01

    This paper introduces a new Chinese Sign Language recognition (CSLR) system and a method of real-time tracking face and hand applied in the system. In the method, an improved agent algorithm is used to extract the region of face and hand and track them. Kalman filter is introduced to forecast the position and rectangle of search, and self-adapting of target color is designed to counteract the effect of illumination.

  20. Recognition Stage for a Speed Supervisor Based on Road Sign Detection

    Directory of Open Access Journals (Sweden)

    José María Armingol

    2012-09-01

    Full Text Available Traffic accidents are still one of the main health problems in the World. A number of measures have been applied in order to reduce the number of injuries and fatalities in roads, i.e., implementation of Advanced Driver Assistance Systems (ADAS based on image processing. In this paper, a real time speed supervisor based on road sign recognition that can work both in urban and non-urban environments is presented. The system is able to recognize 135 road signs, belonging to the danger, yield, prohibition obligation and indication types, and sends warning messages to the driver upon the combination of two pieces of information: the current speed of the car and the road sign symbol. The core of this paper is the comparison between the two main methods which have been traditionally used for detection and recognition of road signs: template matching (TM and neural networks (NN. The advantages and disadvantages of the two approaches will be shown and commented. Additionally we will show how the use of well-known algorithms to avoid illumination issues reduces the amount of images needed to train a neural network.

  1. Kinect-based sign language recognition of static and dynamic hand movements

    Science.gov (United States)

    Dalawis, Rando C.; Olayao, Kenneth Deniel R.; Ramos, Evan Geoffrey I.; Samonte, Mary Jane C.

    2017-02-01

    A different approach of sign language recognition of static and dynamic hand movements was developed in this study using normalized correlation algorithm. The goal of this research was to translate fingerspelling sign language into text using MATLAB and Microsoft Kinect. Digital input image captured by Kinect devices are matched from template samples stored in a database. This Human Computer Interaction (HCI) prototype was developed to help people with communication disability to express their thoughts with ease. Frame segmentation and feature extraction was used to give meaning to the captured images. Sequential and random testing was used to test both static and dynamic fingerspelling gestures. The researchers explained some factors they encountered causing some misclassification of signs.

  2. Spent nuclear fuel application of CORE reg-sign systems engineering software

    International Nuclear Information System (INIS)

    Grimm, R.J.

    1996-01-01

    The Department of Energy (DOE) has adopted a systems engineering approach for the successful completion of the Spent Nuclear Fuel (SNF) Program mission. The DOE has utilized systems engineering principles to develop the SNF Program guidance documents and has held several systems engineering workshops to develop the functional hierarchies of both the programmatic and technical side of the SNF Program. The sheer size and complexity of the SNF Program, however, has led to problems that the Westinghouse Savannah River Company (WSRC) is working to manage through the use of systems engineering software. WSRC began using CORE reg-sign, an off-the-shelf PC based software package, to assist the DOE in management of the SNF program. This paper details the successful use of the CORE reg-sign systems engineering software to date and the proposed future activities

  3. Spent nuclear fuel application of CORE reg-sign systems engineering software

    International Nuclear Information System (INIS)

    Grimm, R.J.

    1996-01-01

    The DOE has adopted a systems engineering approach for the successful completion of the Spent Nuclear Fuel (SNF) Program mission. The DOE has utilized systems engineering principles to develop the SNF program guidance documents and has held several systems engineering workshops to develop the functional hierarchies of both the programmatic and technical side of the SNF program. The sheer size and complexity of the SNF program has led to problems that the Westinghouse Savannah River Company (WSRC) is working to manage through the use of systems engineering software. WSRC began using CORE reg-sign, an off the shelf PC based software package, to assist DOE in management of the SNF program. This paper details the successful use of the CORE reg-sign systems engineering software to date and the proposed future activities

  4. Factors associated with recognition of the signs of dating violence by Japanese junior high school students.

    Science.gov (United States)

    Nagamatsu, Miyuki; Hamada, Yukiko; Hara, Kenichi

    2016-01-01

    This study investigated factors associated with the ability of Japanese junior high school students to recognize the signs of dating violence. During a period of 20 months (from June 2011 to January 2013), a survey was distributed to 3340 students aged 13-15 years in the second and third grades at 18 junior high schools in a Japanese prefecture. The survey examined gender, recognition of the signs of dating violence, knowledge of dating violence, self-esteem, attitudes toward sexual activity, attitudes toward an equal dating relationship, and relationships with school teachers. Multiple linear regression analyses were performed to identify predictors of the ability of boys and girls respondents to recognize the signs of physical and psychological dating violence. Binary multiple logistic regression analysis was also performed to identify predictors of the ability of boys and girls respondents to recognize the sign of sexual dating violence. The Ethics Committee of Saga University Medical School approved the study protocol. A total of 3050 (91.3%) students participated in this study (1547 boys and 1503 girls). Gender differences were noted with regard to the scores for some of the variables measured. The results indicated that boys who had more knowledge of dating violence, who focused on an equal dating relationship, and had a positive relationship with their teachers showed a greater ability to recognize the signs of dating violence. In addition, boys with a conservative attitude toward sexual activity showed a greater ability to recognize the signs of physical and sexual violence. Furthermore, girls with more knowledge of dating violence had a conservative attitude toward sexual activity, and girls who focused on an equal dating relationship showed greater ability to recognize the signs of dating violence. These findings suggest that education programs to prevent dating violence should promote understanding about dating violence with consideration of gender

  5. Recognition of sign language with an inertial sensor-based data glove.

    Science.gov (United States)

    Kim, Kyung-Won; Lee, Mi-So; Soon, Bo-Ram; Ryu, Mun-Ho; Kim, Je-Nam

    2015-01-01

    Communication between people with normal hearing and hearing impairment is difficult. Recently, a variety of studies on sign language recognition have presented benefits from the development of information technology. This study presents a sign language recognition system using a data glove composed of 3-axis accelerometers, magnetometers, and gyroscopes. Each data obtained by the data glove is transmitted to a host application (implemented in a Window program on a PC). Next, the data is converted into angle data, and the angle information is displayed on the host application and verified by outputting three-dimensional models to the display. An experiment was performed with five subjects, three females and two males, and a performance set comprising numbers from one to nine was repeated five times. The system achieves a 99.26% movement detection rate, and approximately 98% recognition rate for each finger's state. The proposed system is expected to be a more portable and useful system when this algorithm is applied to smartphone applications for use in some situations such as in emergencies.

  6. Handling movement epenthesis and hand segmentation ambiguities in continuous sign language recognition using nested dynamic programming.

    Science.gov (United States)

    Yang, Ruiduo; Sarkar, Sudeep; Loeding, Barbara

    2010-03-01

    We consider two crucial problems in continuous sign language recognition from unaided video sequences. At the sentence level, we consider the movement epenthesis (me) problem and at the feature level, we consider the problem of hand segmentation and grouping. We construct a framework that can handle both of these problems based on an enhanced, nested version of the dynamic programming approach. To address movement epenthesis, a dynamic programming (DP) process employs a virtual me option that does not need explicit models. We call this the enhanced level building (eLB) algorithm. This formulation also allows the incorporation of grammar models. Nested within this eLB is another DP that handles the problem of selecting among multiple hand candidates. We demonstrate our ideas on four American Sign Language data sets with simple background, with the signer wearing short sleeves, with complex background, and across signers. We compared the performance with Conditional Random Fields (CRF) and Latent Dynamic-CRF-based approaches. The experiments show more than 40 percent improvement over CRF or LDCRF approaches in terms of the frame labeling rate. We show the flexibility of our approach when handling a changing context. We also find a 70 percent improvement in sign recognition rate over the unenhanced DP matching algorithm that does not accommodate the me effect.

  7. Intelligent Automatic Right-Left Sign Lamp Based on Brain Signal Recognition System

    Science.gov (United States)

    Winda, A.; Sofyan; Sthevany; Vincent, R. S.

    2017-12-01

    Comfort as a part of the human factor, plays important roles in nowadays advanced automotive technology. Many of the current technologies go in the direction of automotive driver assistance features. However, many of the driver assistance features still require physical movement by human to enable the features. In this work, the proposed method is used in order to make certain feature to be functioning without any physical movement, instead human just need to think about it in their mind. In this work, brain signal is recorded and processed in order to be used as input to the recognition system. Right-Left sign lamp based on the brain signal recognition system can potentially replace the button or switch of the specific device in order to make the lamp work. The system then will decide whether the signal is ‘Right’ or ‘Left’. The decision of the Right-Left side of brain signal recognition will be sent to a processing board in order to activate the automotive relay, which will be used to activate the sign lamp. Furthermore, the intelligent system approach is used to develop authorized model based on the brain signal. Particularly Support Vector Machines (SVMs)-based classification system is used in the proposed system to recognize the Left-Right of the brain signal. Experimental results confirm the effectiveness of the proposed intelligent Automatic brain signal-based Right-Left sign lamp access control system. The signal is processed by Linear Prediction Coefficient (LPC) and Support Vector Machines (SVMs), and the resulting experiment shows the training and testing accuracy of 100% and 80%, respectively.

  8. Parametric Representation of the Speaker's Lips for Multimodal Sign Language and Speech Recognition

    Science.gov (United States)

    Ryumin, D.; Karpov, A. A.

    2017-05-01

    In this article, we propose a new method for parametric representation of human's lips region. The functional diagram of the method is described and implementation details with the explanation of its key stages and features are given. The results of automatic detection of the regions of interest are illustrated. A speed of the method work using several computers with different performances is reported. This universal method allows applying parametrical representation of the speaker's lipsfor the tasks of biometrics, computer vision, machine learning, and automatic recognition of face, elements of sign languages, and audio-visual speech, including lip-reading.

  9. Traffic sign recognition based on a context-aware scale-invariant feature transform approach

    Science.gov (United States)

    Yuan, Xue; Hao, Xiaoli; Chen, Houjin; Wei, Xueye

    2013-10-01

    A new context-aware scale-invariant feature transform (CASIFT) approach is proposed, which is designed for the use in traffic sign recognition (TSR) systems. The following issues remain in previous works in which SIFT is used for matching or recognition: (1) SIFT is unable to provide color information; (2) SIFT only focuses on local features while ignoring the distribution of global shapes; (3) the template with the maximum number of matching points selected as the final result is instable, especially for images with simple patterns; and (4) SIFT is liable to result in errors when different images share the same local features. In order to resolve these problems, a new CASIFT approach is proposed. The contributions of the work are as follows: (1) color angular patterns are used to provide the color distinguishing information; (2) a CASIFT which effectively combines local and global information is proposed; and (3) a method for computing the similarity between two images is proposed, which focuses on the distribution of the matching points, rather than using the traditional SIFT approach of selecting the template with maximum number of matching points as the final result. The proposed approach is particularly effective in dealing with traffic signs which have rich colors and varied global shape distribution. Experiments are performed to validate the effectiveness of the proposed approach in TSR systems, and the experimental results are satisfying even for images containing traffic signs that have been rotated, damaged, altered in color, have undergone affine transformations, or images which were photographed under different weather or illumination conditions.

  10. Learning and recognition of on-premise signs from weakly labeled street view images.

    Science.gov (United States)

    Tsai, Tsung-Hung; Cheng, Wen-Huang; You, Chuang-Wen; Hu, Min-Chun; Tsui, Arvin Wen; Chi, Heng-Yu

    2014-03-01

    Camera-enabled mobile devices are commonly used as interaction platforms for linking the user's virtual and physical worlds in numerous research and commercial applications, such as serving an augmented reality interface for mobile information retrieval. The various application scenarios give rise to a key technique of daily life visual object recognition. On-premise signs (OPSs), a popular form of commercial advertising, are widely used in our living life. The OPSs often exhibit great visual diversity (e.g., appearing in arbitrary size), accompanied with complex environmental conditions (e.g., foreground and background clutter). Observing that such real-world characteristics are lacking in most of the existing image data sets, in this paper, we first proposed an OPS data set, namely OPS-62, in which totally 4649 OPS images of 62 different businesses are collected from Google's Street View. Further, for addressing the problem of real-world OPS learning and recognition, we developed a probabilistic framework based on the distributional clustering, in which we proposed to exploit the distributional information of each visual feature (the distribution of its associated OPS labels) as a reliable selection criterion for building discriminative OPS models. Experiments on the OPS-62 data set demonstrated the outperformance of our approach over the state-of-the-art probabilistic latent semantic analysis models for more accurate recognitions and less false alarms, with a significant 151.28% relative improvement in the average recognition rate. Meanwhile, our approach is simple, linear, and can be executed in a parallel fashion, making it practical and scalable for large-scale multimedia applications.

  11. Speech recognition software and electronic psychiatric progress notes: physicians' ratings and preferences

    Directory of Open Access Journals (Sweden)

    Derman Yaron D

    2010-08-01

    Full Text Available Abstract Background The context of the current study was mandatory adoption of electronic clinical documentation within a large mental health care organization. Psychiatric electronic documentation has unique needs by the nature of dense narrative content. Our goal was to determine if speech recognition (SR would ease the creation of electronic progress note (ePN documents by physicians at our institution. Methods Subjects: Twelve physicians had access to SR software on their computers for a period of four weeks to create ePN. Measurements: We examined SR software in relation to its perceived usability, data entry time savings, impact on the quality of care and quality of documentation, and the impact on clinical and administrative workflow, as compared to existing methods for data entry. Data analysis: A series of Wilcoxon signed rank tests were used to compare pre- and post-SR measures. A qualitative study design was used. Results Six of twelve participants completing the study favoured the use of SR (five with SR alone plus one with SR via hand-held digital recorder for creating electronic progress notes over their existing mode of data entry. There was no clear perceived benefit from SR in terms of data entry time savings, quality of care, quality of documentation, or impact on clinical and administrative workflow. Conclusions Although our findings are mixed, SR may be a technology with some promise for mental health documentation. Future investigations of this nature should use more participants, a broader range of document types, and compare front- and back-end SR methods.

  12. Early Sign Language Experience Goes along with an Increased Cross-Modal Gain for Affective Prosodic Recognition in Congenitally Deaf CI Users

    Science.gov (United States)

    Fengler, Ineke; Delfau, Pia-Céline; Röder, Brigitte

    2018-01-01

    It is yet unclear whether congenitally deaf cochlear implant (CD CI) users' visual and multisensory emotion perception is influenced by their history in sign language acquisition. We hypothesized that early-signing CD CI users, relative to late-signing CD CI users and hearing, non-signing controls, show better facial expression recognition and…

  13. ALPHABET SIGN LANGUAGE RECOGNITION USING LEAP MOTION TECHNOLOGY AND RULE BASED BACKPROPAGATION-GENETIC ALGORITHM NEURAL NETWORK (RBBPGANN

    Directory of Open Access Journals (Sweden)

    Wijayanti Nurul Khotimah

    2017-01-01

    Full Text Available Sign Language recognition was used to help people with normal hearing communicate effectively with the deaf and hearing-impaired. Based on survey that conducted by Multi-Center Study in Southeast Asia, Indonesia was on the top four position in number of patients with hearing disability (4.6%. Therefore, the existence of Sign Language recognition is important. Some research has been conducted on this field. Many neural network types had been used for recognizing many kinds of sign languages. However, their performance are need to be improved. This work focuses on the ASL (Alphabet Sign Language in SIBI (Sign System of Indonesian Language which uses one hand and 26 gestures. Here, thirty four features were extracted by using Leap Motion. Further, a new method, Rule Based-Backpropagation Genetic Al-gorithm Neural Network (RB-BPGANN, was used to recognize these Sign Languages. This method is combination of Rule and Back Propagation Neural Network (BPGANN. Based on experiment this pro-posed application can recognize Sign Language up to 93.8% accuracy. It was very good to recognize large multiclass instance and can be solution of overfitting problem in Neural Network algorithm.

  14. Legal Pathways to the Recognition of Sign Languages: A Comparison of the Catalan and Spanish Sign Language Acts

    Science.gov (United States)

    Quer, Josep

    2012-01-01

    Despite being minority languages like many others, sign languages have traditionally remained absent from the agendas of policy makers and language planning and policies. In the past two decades, though, this situation has started to change at different paces and to different degrees in several countries. In this article, the author describes the…

  15. SOFTWARE EFFORT ESTIMATION FRAMEWORK TO IMPROVE ORGANIZATION PRODUCTIVITY USING EMOTION RECOGNITION OF SOFTWARE ENGINEERS IN SPONTANEOUS SPEECH

    Directory of Open Access Journals (Sweden)

    B.V.A.N.S.S. Prabhakar Rao

    2015-10-01

    Full Text Available Productivity is a very important part of any organisation in general and software industry in particular. Now a day’s Software Effort estimation is a challenging task. Both Effort and Productivity are inter-related to each other. This can be achieved from the employee’s of the organization. Every organisation requires emotionally stable employees in their firm for seamless and progressive working. Of course, in other industries this may be achieved without man power. But, software project development is labour intensive activity. Each line of code should be delivered from software engineer. Tools and techniques may helpful and act as aid or supplementary. Whatever be the reason software industry has been suffering with success rate. Software industry is facing lot of problems in delivering the project on time and within the estimated budget limit. If we want to estimate the required effort of the project it is significant to know the emotional state of the team member. The responsibility of ensuring emotional contentment falls on the human resource department and the department can deploy a series of systems to carry out its survey. This analysis can be done using a variety of tools, one such, is through study of emotion recognition. The data needed for this is readily available and collectable and can be an excellent source for the feedback systems. The challenge of recognition of emotion in speech is convoluted primarily due to the noisy recording condition, the variations in sentiment in sample space and exhibition of multiple emotions in a single sentence. The ambiguity in the labels of training set also increases the complexity of problem addressed. The existing models using probabilistic models have dominated the study but present a flaw in scalability due to statistical inefficiency. The problem of sentiment prediction in spontaneous speech can thus be addressed using a hybrid system comprising of a Convolution Neural Network and

  16. Modular Algorithm Testbed Suite (MATS): A Software Framework for Automatic Target Recognition

    Science.gov (United States)

    2017-01-01

    NAVAL SURFACE WARFARE CENTER PANAMA CITY DIVISION PANAMA CITY, FL 32407-7001 TECHNICAL REPORT NSWC PCD TR-2017-004 MODULAR ...31-01-2017 Technical Modular Algorithm Testbed Suite (MATS): A Software Framework for Automatic Target Recognition DR...flexible platform to facilitate the development and testing of ATR algorithms. To that end, NSWC PCD has created the Modular Algorithm Testbed Suite

  17. Deep neural network for traffic sign recognition systems: An analysis of spatial transformers and stochastic optimisation methods.

    Science.gov (United States)

    Arcos-García, Álvaro; Álvarez-García, Juan A; Soria-Morillo, Luis M

    2018-03-01

    This paper presents a Deep Learning approach for traffic sign recognition systems. Several classification experiments are conducted over publicly available traffic sign datasets from Germany and Belgium using a Deep Neural Network which comprises Convolutional layers and Spatial Transformer Networks. Such trials are built to measure the impact of diverse factors with the end goal of designing a Convolutional Neural Network that can improve the state-of-the-art of traffic sign classification task. First, different adaptive and non-adaptive stochastic gradient descent optimisation algorithms such as SGD, SGD-Nesterov, RMSprop and Adam are evaluated. Subsequently, multiple combinations of Spatial Transformer Networks placed at distinct positions within the main neural network are analysed. The recognition rate of the proposed Convolutional Neural Network reports an accuracy of 99.71% in the German Traffic Sign Recognition Benchmark, outperforming previous state-of-the-art methods and also being more efficient in terms of memory requirements. Copyright © 2018 Elsevier Ltd. All rights reserved.

  18. Computerized literature reference system: use of an optical scanner and optical character recognition software.

    Science.gov (United States)

    Lossef, S V; Schwartz, L H

    1990-09-01

    A computerized reference system for radiology journal articles was developed by using an IBM-compatible personal computer with a hand-held optical scanner and optical character recognition software. This allows direct entry of scanned text from printed material into word processing or data-base files. Additionally, line diagrams and photographs of radiographs can be incorporated into these files. A text search and retrieval software program enables rapid searching for keywords in scanned documents. The hand scanner and software programs are commercially available, relatively inexpensive, and easily used. This permits construction of a personalized radiology literature file of readily accessible text and images requiring minimal typing or keystroke entry.

  19. Creating field management information systems using microsoft{reg_sign} software

    Energy Technology Data Exchange (ETDEWEB)

    Handsel-Johnson, P.L.; Schroeder, C.Y.

    1995-12-31

    A Field management information system (FMIS) was created for the Trinidad Resource Development teams in Amoco`s Intemational Operations Group. This application uses Microsoft Access {reg_sign}2.0 and the other Microsoft Office 4.2 software products. The purpose of this information system is to assist these teams in the management of their producing oil and gas fields. This is accomplished by providing: (1) centralized data storage for a variety of data, such as well, production, engineering and geologic in various forms, including raw, interpreted and derived, (2) customized analysis, planning and reporting tools, such as reservoir performance summaries and dynamic field management plans, and (3) the capability to easily exchange data with a variety of engineering and geoscience analytical software. Additional benefits provided to the Resource Development teams by this approach are: (1) improved data accuracy and accessibility from a centralized, relational database, (2) enhanced efficiency as a result of the application being tailored to the teams` operating environment and work processes, and (3) access to an expanded knowledge base by consolidating information from several fields into one database. In short, this product was developed in response to the Trinidad Resource Development teams` need to improve their data integrity, efficiency and analysis and planning capability. The resultant application is not just a database, but rather, a field management information system.

  20. The relation between driving experience and recognition of road signs relative to their locations.

    Science.gov (United States)

    Borowsky, Avinoam; Shinar, David; Parmet, Yisrael

    2008-04-01

    Examine how driving experience and expectations affect the ability of experienced drivers to identify traffic signs--specifically, no right turn (NRT) and no left turn (NLT) at intersections. Failure to heed signs is a frequent cause of accidents, and the authors focused on the contributions of experience and expectancy to sign identification. Inexperienced and experienced drivers were connected to an eye tracker system and briefly exposed to various traffic scenes. Some of the pictures included an NRT sign at the expected location (on the right), and some included the same sign at an unexpected location (on the left). The same procedure was used with an NLT traffic sign. Experienced drivers identified traffic signs better than inexperienced drivers did when the signs were posted at the expected location but identified them worse than did inexperienced drivers when they were at unexpected locations. With experience, drivers' expectations regarding the expected location of traffic signs become so strong that violating these expectancies results in more identification errors among experienced drivers than among inexperienced drivers. To optimize experienced drivers' traffic sign identification, signs must be located in accordance with drivers' expectations--specifically, on the right side of the road. When signs are misplaced, crashes can be caused by inappropriate placement rather than inappropriate driving. Highway designers should ensure that their design conforms to standards that shape experienced drivers' expectations.

  1. Higher-order neural network software for distortion invariant object recognition

    Science.gov (United States)

    Reid, Max B.; Spirkovska, Lilly

    1991-01-01

    The state-of-the-art in pattern recognition for such applications as automatic target recognition and industrial robotic vision relies on digital image processing. We present a higher-order neural network model and software which performs the complete feature extraction-pattern classification paradigm required for automatic pattern recognition. Using a third-order neural network, we demonstrate complete, 100 percent accurate invariance to distortions of scale, position, and in-plate rotation. In a higher-order neural network, feature extraction is built into the network, and does not have to be learned. Only the relatively simple classification step must be learned. This is key to achieving very rapid training. The training set is much smaller than with standard neural network software because the higher-order network only has to be shown one view of each object to be learned, not every possible view. The software and graphical user interface run on any Sun workstation. Results of the use of the neural software in autonomous robotic vision systems are presented. Such a system could have extensive application in robotic manufacturing.

  2. Random Forest-Based Recognition of Isolated Sign Language Subwords Using Data from Accelerometers and Surface Electromyographic Sensors.

    Science.gov (United States)

    Su, Ruiliang; Chen, Xiang; Cao, Shuai; Zhang, Xu

    2016-01-14

    Sign language recognition (SLR) has been widely used for communication amongst the hearing-impaired and non-verbal community. This paper proposes an accurate and robust SLR framework using an improved decision tree as the base classifier of random forests. This framework was used to recognize Chinese sign language subwords using recordings from a pair of portable devices worn on both arms consisting of accelerometers (ACC) and surface electromyography (sEMG) sensors. The experimental results demonstrated the validity of the proposed random forest-based method for recognition of Chinese sign language (CSL) subwords. With the proposed method, 98.25% average accuracy was obtained for the classification of a list of 121 frequently used CSL subwords. Moreover, the random forests method demonstrated a superior performance in resisting the impact of bad training samples. When the proportion of bad samples in the training set reached 50%, the recognition error rate of the random forest-based method was only 10.67%, while that of a single decision tree adopted in our previous work was almost 27.5%. Our study offers a practical way of realizing a robust and wearable EMG-ACC-based SLR systems.

  3. A Novel Phonology- and Radical-Coded Chinese Sign Language Recognition Framework Using Accelerometer and Surface Electromyography Sensors.

    Science.gov (United States)

    Cheng, Juan; Chen, Xun; Liu, Aiping; Peng, Hu

    2015-09-15

    Sign language recognition (SLR) is an important communication tool between the deaf and the external world. It is highly necessary to develop a worldwide continuous and large-vocabulary-scale SLR system for practical usage. In this paper, we propose a novel phonology- and radical-coded Chinese SLR framework to demonstrate the feasibility of continuous SLR using accelerometer (ACC) and surface electromyography (sEMG) sensors. The continuous Chinese characters, consisting of coded sign gestures, are first segmented into active segments using EMG signals by means of moving average algorithm. Then, features of each component are extracted from both ACC and sEMG signals of active segments (i.e., palm orientation represented by the mean and variance of ACC signals, hand movement represented by the fixed-point ACC sequence, and hand shape represented by both the mean absolute value (MAV) and autoregressive model coefficients (ARs)). Afterwards, palm orientation is first classified, distinguishing "Palm Downward" sign gestures from "Palm Inward" ones. Only the "Palm Inward" gestures are sent for further hand movement and hand shape recognition by dynamic time warping (DTW) algorithm and hidden Markov models (HMM) respectively. Finally, component recognition results are integrated to identify one certain coded gesture. Experimental results demonstrate that the proposed SLR framework with a vocabulary scale of 223 characters can achieve an averaged recognition accuracy of 96.01% ± 0.83% for coded gesture recognition tasks and 92.73% ± 1.47% for character recognition tasks. Besides, it demonstrats that sEMG signals are rather consistent for a given hand shape independent of hand movements. Hence, the number of training samples will not be significantly increased when the vocabulary scale increases, since not only the number of the completely new proposed coded gestures is constant and limited, but also the transition movement which connects successive signs needs no

  4. Batch metadata assignment to archival photograph collections using facial recognition software

    Directory of Open Access Journals (Sweden)

    Kyle Banerjee

    2013-07-01

    Full Text Available Useful metadata is essential to giving individual meaning and value within the context of a greater image collection as well as making them more discoverable. However, often little information is available about the photos themselves, so adding consistent metadata to large collections of digital and digitized photographs is a time consuming process requiring highly experienced staff. By using facial recognition software, staff can identify individuals more quickly and reliably. Knowledge of individuals in photos helps staff determine when and where photos are taken and also improves understanding of the subject matter. This article demonstrates simple techniques for using facial recognition software and command line tools to assign, modify, and read metadata for large archival photograph collections.

  5. Syntactic and semantic errors in radiology reports associated with speech recognition software.

    Science.gov (United States)

    Ringler, Michael D; Goss, Brian C; Bartholmai, Brian J

    2017-03-01

    Speech recognition software can increase the frequency of errors in radiology reports, which may affect patient care. We retrieved 213,977 speech recognition software-generated reports from 147 different radiologists and proofread them for errors. Errors were classified as "material" if they were believed to alter interpretation of the report. "Immaterial" errors were subclassified as intrusion/omission or spelling errors. The proportion of errors and error type were compared among individual radiologists, imaging subspecialty, and time periods. In all, 20,759 reports (9.7%) contained errors, of which 3992 (1.9%) were material errors. Among immaterial errors, spelling errors were more common than intrusion/omission errors ( p reports, reports reinterpreting results of outside examinations, and procedural studies (all p < .001). Error rate decreased over time ( p < .001), which suggests that a quality control program with regular feedback may reduce errors.

  6. TreeRipper web application: towards a fully automated optical tree recognition software

    Directory of Open Access Journals (Sweden)

    Hughes Joseph

    2011-05-01

    Full Text Available Abstract Background Relationships between species, genes and genomes have been printed as trees for over a century. Whilst this may have been the best format for exchanging and sharing phylogenetic hypotheses during the 20th century, the worldwide web now provides faster and automated ways of transferring and sharing phylogenetic knowledge. However, novel software is needed to defrost these published phylogenies for the 21st century. Results TreeRipper is a simple website for the fully-automated recognition of multifurcating phylogenetic trees (http://linnaeus.zoology.gla.ac.uk/~jhughes/treeripper/. The program accepts a range of input image formats (PNG, JPG/JPEG or GIF. The underlying command line c++ program follows a number of cleaning steps to detect lines, remove node labels, patch-up broken lines and corners and detect line edges. The edge contour is then determined to detect the branch length, tip label positions and the topology of the tree. Optical Character Recognition (OCR is used to convert the tip labels into text with the freely available tesseract-ocr software. 32% of images meeting the prerequisites for TreeRipper were successfully recognised, the largest tree had 115 leaves. Conclusions Despite the diversity of ways phylogenies have been illustrated making the design of a fully automated tree recognition software difficult, TreeRipper is a step towards automating the digitization of past phylogenies. We also provide a dataset of 100 tree images and associated tree files for training and/or benchmarking future software. TreeRipper is an open source project licensed under the GNU General Public Licence v3.

  7. Use of voice recognition software in an outpatient pediatric specialty practice.

    Science.gov (United States)

    Issenman, Robert M; Jaffer, Iqbal H

    2004-09-01

    Voice recognition software (VRS), with specialized medical vocabulary, is being promoted to enhance physician efficiency, decrease costs, and improve patient safety. This study reports the experience of a pediatric subspecialist (pediatric gastroenterology) physician with the use of Dragon Naturally Speaking (version 6; ScanSoft Inc, Peabody, MA), incorporated for use with a proprietary electronic medical record, in a large university medical center ambulatory care service. After 2 hours of group orientation and 2 hours of individual VRS instruction, the physician trained the software for 1 month (30 letters) during a hospital slowdown. Set-up, dictation, and correction times for the physician and medical transcriptionist were recorded for these training sessions, as well as for 42 subsequently dictated letters. Figures were extrapolated to the yearly clinic volume for the physician, to estimate costs (physician: 110 dollars per hour; transcriptionist: 11 dollars per hour, US dollars). The use of VRS required an additional 200% of physician dictation and correction time (9 minutes vs 3 minutes), compared with the use of electronic signatures for letters typed by an experienced transcriptionist and imported into the electronic medical record. When the cost of the license agreement and the costs of physician and transcriptionist time were included, the use of the software cost 100% more, for the amount of dictation performed annually by the physician. VRS is an intriguing technology. It holds the possibility of streamlining medical practice. However, the learning curve and accuracy of the tested version of the software limit broad physician acceptance at this time.

  8. Recognition of American Sign Language (ASL) Classifiers in a Planetarium Using a Head-Mounted Display

    Science.gov (United States)

    Hintz, Eric G.; Jones, Michael; Lawler, Jeannette; Bench, Nathan

    2015-01-01

    A traditional accommodation for the deaf or hard-of-hearing in a planetarium show is some type of captioning system or a signer on the floor. Both of these have significant drawbacks given the nature of a planetarium show. Young audience members who are deaf likely don't have the reading skills needed to make a captioning system effective. A signer on the floor requires light which can then splash onto the dome. We have examined the potential of using a Head-Mounted Display (HMD) to provide an American Sign Language (ASL) translation. Our preliminary test used a canned planetarium show with a pre-recorded sound track. Since many astronomical objects don't have official ASL signs, the signer had to use classifiers to describe the different objects. Since these are not official signs, these classifiers provided a way to test to see if students were picking up the information using the HMD.We will present results that demonstrate that the use of HMDs is at least as effective as projecting a signer on the dome. This also showed that the HMD could provide the necessary accommodation for students for whom captioning was ineffective. We will also discuss the current effort to provide a live signer without the light splash effect and our early results on teaching effectiveness with HMDs.This work is partially supported by funding from the National Science Foundation grant IIS-1124548 and the Sorenson Foundation.

  9. The Usefulness of Automatic Speech Recognition (ASR Eyespeak Software in Improving Iraqi EFL Students’ Pronunciation

    Directory of Open Access Journals (Sweden)

    Lina Fathi Sidig Sidgi

    2017-02-01

    Full Text Available The present study focuses on determining whether automatic speech recognition (ASR technology is reliable for improving English pronunciation to Iraqi EFL students. Non-native learners of English are generally concerned about improving their pronunciation skills, and Iraqi students face difficulties in pronouncing English sounds that are not found in their native language (Arabic. This study is concerned with ASR and its effectiveness in overcoming this difficulty. The data were obtained from twenty participants randomly selected from first-year college students at Al-Turath University College from the Department of English in Baghdad-Iraq. The students had participated in a two month pronunciation instruction course using ASR Eyespeak software. At the end of the pronunciation instruction course using ASR Eyespeak software, the students completed a questionnaire to get their opinions about the usefulness of the ASR Eyespeak in improving their pronunciation. The findings of the study revealed that the students found ASR Eyespeak software very useful in improving their pronunciation and helping them realise their pronunciation mistakes. They also reported that learning pronunciation with ASR Eyespeak enjoyable.

  10. Object and Facial Recognition in Augmented and Virtual Reality: Investigation into Software, Hardware and Potential Uses

    Science.gov (United States)

    Schulte, Erin

    2017-01-01

    As augmented and virtual reality grows in popularity, and more researchers focus on its development, other fields of technology have grown in the hopes of integrating with the up-and-coming hardware currently on the market. Namely, there has been a focus on how to make an intuitive, hands-free human-computer interaction (HCI) utilizing AR and VR that allows users to control their technology with little to no physical interaction with hardware. Computer vision, which is utilized in devices such as the Microsoft Kinect, webcams and other similar hardware has shown potential in assisting with the development of a HCI system that requires next to no human interaction with computing hardware and software. Object and facial recognition are two subsets of computer vision, both of which can be applied to HCI systems in the fields of medicine, security, industrial development and other similar areas.

  11. Surveillance application using patten recognition software at the EBR-II Reactor Facility

    International Nuclear Information System (INIS)

    Olson, D.L.

    1992-01-01

    The System State Analyzer (SSA) is a software based pattern recognition system. For the past several year this system has been used at Argonne National Laboratory's Experimental Breeder Reactor 2 (EBR-2) reactor for detection of degradation and other abnormalities in plant systems. Currently there are two versions of the SSA being used at EBR-2. One version of SSA is used for daily surveillance and trending of the reactor delta-T and startups of the reactor. Another version of the SSA is the QSSA which is used to monitor individual systems of the reactor such as the Secondary Sodium System, Secondary Sodium Pumps, and Steam Generator. This system has been able to detect problems such as signals being affected by temperature variations due to a failing temperature controller

  12. Law enforcers recognition level emerging threats based on physical appearance and behavior signs the enemy

    Directory of Open Access Journals (Sweden)

    R.M. Radzievskiy

    2015-02-01

    Full Text Available Purpose: examine the effectiveness of the training method of differential approach to the choice of means of influence on the action of law enforcers opponent with different levels of aggressiveness. Material : the experiment involved 15 students of the Kyiv National Academy of Internal Affairs and the 15 employees of the State Guard of Ukraine. Results : presented curriculum for special physical and tactical training. The program details the conceptual apparatus of THREATS and DANGERS manifestations of different levels of aggressiveness opponent (case analysis of its motor behavior. The study participants underwent 7 day course focused training. The basis of the course is an advanced theoretical base. The base is aimed at developing knowledge and skills of employees in determining the level of danger. Including threats from testing and modeling episodes of extreme situations the options cadets. Conclusions : In the simulated collision situations with aggressive opponent to the students significantly improved the adequacy of the response to the threat of execution time and within the legal grounds. Recognition was determined by the level of aggressiveness manifest manners enemy, his emotions, motivation, motor behavior, positional arrangement for 2 - 3 seconds. The program contributed to the development of qualities: attention, orientation, perception, motor lead.

  13. Moment Invariant Features Extraction for Hand Gesture Recognition of Sign Language based on SIBI

    Directory of Open Access Journals (Sweden)

    Angga Rahagiyanto

    2017-07-01

    Full Text Available Myo Armband became an immersive technology to help deaf people for communication each other. The problem on Myo sensor is unstable clock rate. It causes the different length data for the same period even on the same gesture. This research proposes Moment Invariant Method to extract the feature of sensor data from Myo. This method reduces the amount of data and makes the same length of data. This research is user-dependent, according to the characteristics of Myo Armband. The testing process was performed by using alphabet A to Z on SIBI, Indonesian Sign Language, with static and dynamic finger movements. There are 26 class of alphabets and 10 variants in each class. We use min-max normalization for guarantying the range of data. We use K-Nearest Neighbor method to classify dataset. Performance analysis with leave-one-out-validation method produced an accuracy of 82.31%. It requires a more advanced method of classification to improve the performance on the detection results.

  14. Monitoring caustic injuries from emergency department databases using automatic keyword recognition software.

    Science.gov (United States)

    Vignally, P; Fondi, G; Taggi, F; Pitidis, A

    2011-03-31

    In Italy the European Union Injury Database reports the involvement of chemical products in 0.9% of home and leisure accidents. The Emergency Department registry on domestic accidents in Italy and the Poison Control Centres record that 90% of cases of exposure to toxic substances occur in the home. It is not rare for the effects of chemical agents to be observed in hospitals, with a high potential risk of damage - the rate of this cause of hospital admission is double the domestic injury average. The aim of this study was to monitor the effects of injuries caused by caustic agents in Italy using automatic free-text recognition in Emergency Department medical databases. We created a Stata software program to automatically identify caustic or corrosive injury cases using an agent-specific list of keywords. We focused attention on the procedure's sensitivity and specificity. Ten hospitals in six regions of Italy participated in the study. The program identified 112 cases of injury by caustic or corrosive agents. Checking the cases by quality controls (based on manual reading of ED reports), we assessed 99 cases as true positive, i.e. 88.4% of the patients were automatically recognized by the software as being affected by caustic substances (99% CI: 80.6%- 96.2%), that is to say 0.59% (99% CI: 0.45%-0.76%) of the whole sample of home injuries, a value almost three times as high as that expected (p < 0.0001) from European codified information. False positives were 11.6% of the recognized cases (99% CI: 5.1%- 21.5%). Our automatic procedure for caustic agent identification proved to have excellent product recognition capacity with an acceptable level of excess sensitivity. Contrary to our a priori hypothesis, the automatic recognition system provided a level of identification of agents possessing caustic effects that was significantly much greater than was predictable on the basis of the values from current codifications reported in the European Database.

  15. Neurological soft signs, but not theory of mind and emotion recognition deficit distinguished children with ADHD from healthy control.

    Science.gov (United States)

    Pitzianti, Mariabernarda; Grelloni, Clementina; Casarelli, Livia; D'Agati, Elisa; Spiridigliozzi, Simonetta; Curatolo, Paolo; Pasini, Augusto

    2017-10-01

    Attention Deficit Hyperactivity Disorder (ADHD) is associated with social cognition impairment, executive dysfunction and motor abnormalities, consisting in the persistence of neurological soft signs (NSS). Theory of mind (ToM) and emotion recognition (ER) deficit of children with ADHD have been interpreted as a consequence of their executive dysfunction, particularly inhibitory control deficit. To our knowledge, there are not studies that evaluate the possible correlation between the ToM and ER deficit and NSS in the population with ADHD, while this association has been studied in other psychiatric disorders, such as schizophrenia. Therefore, the aim of this study was to evaluate ToM and ER and NSS in a sample of 23 drug-naïve children with ADHD and a sample of 20 healthy children and the possible correlation between social cognition dysfunction and NSS in ADHD. Our findings suggest that ToM and ER dysfunction is not a constant feature in the population with ADHD, while NSS confirmed as a markers of atypical neurodevelopment and predictors of the severity of functional impairment in children with ADHD. Copyright © 2017 Elsevier B.V. All rights reserved.

  16. Human activity recognition from wireless sensor network data: benchmark and software

    NARCIS (Netherlands)

    van Kasteren, T.L.M.; Englebienne, G.; Kröse, B.J.A.; Chen, L.; Nugent, C.; Biswas, J.; Hoey, J.

    2011-01-01

    Although activity recognition is an active area of research no common benchmark for evaluating the performance of activity recognition methods exists. In this chapter we present the state of the art probabilistic models used in activity recognition and show their performance on several real world

  17. A framework for sign language recognition using support vector machines and active learning for skin segmentation and boosted temporal sub-units

    OpenAIRE

    Awad, George M.

    2007-01-01

    This dissertation describes new techniques that can be used in a sign language recognition (SLR) system, and more generally in human gesture systems. Any SLR system consists of three main components: Skin detector, Tracker, and Recognizer. The skin detector is responsible for segmenting skin objects like the face and hands from video frames. The tracker keeps track of the hand location (more specifically the bounding box) and detects any occlusions that might happen between any skin objects. ...

  18. Automatic recognition of 3D GGO CT imaging signs through the fusion of hybrid resampling and layer-wise fine-tuning CNNs.

    Science.gov (United States)

    Han, Guanghui; Liu, Xiabi; Zheng, Guangyuan; Wang, Murong; Huang, Shan

    2018-06-06

    Ground-glass opacity (GGO) is a common CT imaging sign on high-resolution CT, which means the lesion is more likely to be malignant compared to common solid lung nodules. The automatic recognition of GGO CT imaging signs is of great importance for early diagnosis and possible cure of lung cancers. The present GGO recognition methods employ traditional low-level features and system performance improves slowly. Considering the high-performance of CNN model in computer vision field, we proposed an automatic recognition method of 3D GGO CT imaging signs through the fusion of hybrid resampling and layer-wise fine-tuning CNN models in this paper. Our hybrid resampling is performed on multi-views and multi-receptive fields, which reduces the risk of missing small or large GGOs by adopting representative sampling panels and processing GGOs with multiple scales simultaneously. The layer-wise fine-tuning strategy has the ability to obtain the optimal fine-tuning model. Multi-CNN models fusion strategy obtains better performance than any single trained model. We evaluated our method on the GGO nodule samples in publicly available LIDC-IDRI dataset of chest CT scans. The experimental results show that our method yields excellent results with 96.64% sensitivity, 71.43% specificity, and 0.83 F1 score. Our method is a promising approach to apply deep learning method to computer-aided analysis of specific CT imaging signs with insufficient labeled images. Graphical abstract We proposed an automatic recognition method of 3D GGO CT imaging signs through the fusion of hybrid resampling and layer-wise fine-tuning CNN models in this paper. Our hybrid resampling reduces the risk of missing small or large GGOs by adopting representative sampling panels and processing GGOs with multiple scales simultaneously. The layer-wise fine-tuning strategy has ability to obtain the optimal fine-tuning model. Our method is a promising approach to apply deep learning method to computer-aided analysis

  19. Recognition

    DEFF Research Database (Denmark)

    Gimmler, Antje

    2017-01-01

    In this article, I shall examine the cognitive, heuristic and theoretical functions of the concept of recognition. To evaluate both the explanatory power and the limitations of a sociological concept, the theory construction must be analysed and its actual productivity for sociological theory mus...

  20. Landsat TM band 431 combine on clustering analysis for pattern recognition land use using idrisi 4.2 software

    International Nuclear Information System (INIS)

    Wiweka, Arief H.; Izzawati, Tjahyaningsih A.

    1997-01-01

    The recognition of earth object's pattern which is recorded on remote sensing digital image can do by classification process based on the group of spectral pixel value. The spectral assessment on a spatial which represent the object characteristic can be helped through supervised or unsupervised. On certain case, there no media, such as maps, airborne, photo, the capability of field observation and the knowledge of object's location. Classification process can be done by clustering. The group of pixel based on the wide of the whole value interval of spectral image, then the class group base on the desired accuracy. The clustering method in Idris 4.2 software equipments are sequential method, statistic, iso data, and RGB. The clustering existence can help pre-process pattern recognition

  1. TU-C-17A-03: An Integrated Contour Evaluation Software Tool Using Supervised Pattern Recognition for Radiotherapy

    Energy Technology Data Exchange (ETDEWEB)

    Chen, H; Tan, J; Kavanaugh, J; Dolly, S; Gay, H; Thorstad, W; Anastasio, M; Altman, M; Mutic, S; Li, H [Washington University School of Medicine, Saint Louis, MO (United States)

    2014-06-15

    Purpose: Radiotherapy (RT) contours delineated either manually or semiautomatically require verification before clinical usage. Manual evaluation is very time consuming. A new integrated software tool using supervised pattern contour recognition was thus developed to facilitate this process. Methods: The contouring tool was developed using an object-oriented programming language C# and application programming interfaces, e.g. visualization toolkit (VTK). The C# language served as the tool design basis. The Accord.Net scientific computing libraries were utilized for the required statistical data processing and pattern recognition, while the VTK was used to build and render 3-D mesh models from critical RT structures in real-time and 360° visualization. Principal component analysis (PCA) was used for system self-updating geometry variations of normal structures based on physician-approved RT contours as a training dataset. The inhouse design of supervised PCA-based contour recognition method was used for automatically evaluating contour normality/abnormality. The function for reporting the contour evaluation results was implemented by using C# and Windows Form Designer. Results: The software input was RT simulation images and RT structures from commercial clinical treatment planning systems. Several abilities were demonstrated: automatic assessment of RT contours, file loading/saving of various modality medical images and RT contours, and generation/visualization of 3-D images and anatomical models. Moreover, it supported the 360° rendering of the RT structures in a multi-slice view, which allows physicians to visually check and edit abnormally contoured structures. Conclusion: This new software integrates the supervised learning framework with image processing and graphical visualization modules for RT contour verification. This tool has great potential for facilitating treatment planning with the assistance of an automatic contour evaluation module in avoiding

  2. Interfacing COTS Speech Recognition and Synthesis Software to a Lotus Notes Military Command and Control Database

    Science.gov (United States)

    Carr, Oliver

    2002-10-01

    Speech recognition and synthesis technologies have become commercially viable over recent years. Two current market leading products in speech recognition technology are Dragon NaturallySpeaking and IBM ViaVoice. This report describes the development of speech user interfaces incorporating these products with Lotus Notes and Java applications. These interfaces enable data entry using speech recognition and allow warnings and instructions to be issued via speech synthesis. The development of a military vocabulary to improve user interaction is discussed. The report also describes an evaluation in terms of speed of the various speech user interfaces developed using Dragon NaturallySpeaking and IBM ViaVoice with a Lotus Notes Command and Control Support System Log database.

  3. Software

    Energy Technology Data Exchange (ETDEWEB)

    Macedo, R.; Budd, G.; Ross, E.; Wells, P.

    2010-07-15

    The software section of this journal presented new software programs that have been developed to help in the exploration and development of hydrocarbon resources. Software provider IHS Inc. has made additions to its geological and engineering analysis software tool, IHS PETRA, a product used by geoscientists and engineers to visualize, analyze and manage well production, well log, drilling, reservoir, seismic and other related information. IHS PETRA also includes a directional well module and a decline curve analysis module to improve analysis capabilities in unconventional reservoirs. Petris Technology Inc. has developed a software to help manage the large volumes of data. PetrisWinds Enterprise (PWE) helps users find and manage wellbore data, including conventional wireline and MWD core data; analysis core photos and images; waveforms and NMR; and external files documentation. Ottawa-based Ambercore Software Inc. has been collaborating with Nexen on the Petroleum iQ software for steam assisted gravity drainage (SAGD) producers. Petroleum iQ integrates geology and geophysics data with engineering data in 3D and 4D. Calgary-based Envirosoft Corporation has developed a software that reduces the costly and time-consuming effort required to comply with Directive 39 of the Alberta Energy Resources Conservation Board. The product includes an emissions modelling software. Houston-based Seismic Micro-Technology (SMT) has developed the Kingdom software that features the latest in seismic interpretation. Holland-based Joa Oil and Gas and Calgary-based Computer Modelling Group have both supplied the petroleum industry with advanced reservoir simulation software that enables reservoir interpretation. The 2010 software survey included a guide to new software applications designed to facilitate petroleum exploration, drilling and production activities. Oil and gas producers can use the products for a range of functions, including reservoir characterization and accounting. In

  4. Pattern-recognition software detecting the onset of failures in complex systems

    International Nuclear Information System (INIS)

    Mott, J.; King, R.

    1987-01-01

    A very general mathematical framework for embodying learned data from a complex system and combining it with a current observation to estimate the true current state of the system has been implemented using nearly universal pattern-recognition algorithms and applied to surveillance of the EBR-II power plant. In this application the methodology can provide signal validation and replacement of faulty signals on a near-real-time basis for hundreds of plant parameters. The mathematical framework, the pattern-recognition algorithms, examples of the learning and estimating process, and plant operating decisions made using this methodology are discussed. The entire methodology has been reduced to a set of FORTRAN subroutines which are small, fast, robust and executable on a personal computer with a serial link to the system's data acquisition computer, or on the data acquisition computer itself

  5. EBR-II [Experimental Breeder Reactor-II] system surveillance using pattern recognition software

    International Nuclear Information System (INIS)

    Mott, J.E.; Radtke, W.H.; King, R.W.

    1986-02-01

    The problem of most accurately determining the Experimental Breeder Reactor-II (EBR-II) reactor outlet temperature from currently available plant signals is investigated. Historically, the reactor outlet pipe was originally instrumented with 8 temperature sensors but, during 22 years of operation, all these instruments have failed except for one remaining thermocouple, and its output had recently become suspect. Using pattern recognition methods to compare values of 129 plant signals for similarities over a 7 month period spanning reconfiguration of the core and recalibration of many plant signals, it was determined that the remaining reactor outlet pipe thermocouple is still useful as an indicator of true mixed mean reactor outlet temperature. Application of this methodology to investigate one specific signal has automatically validated the vast majority of the 129 signals used for pattern recognition and also highlighted a few inconsistent signals for further investigation

  6. RangerMaster trademark: Real-time pattern recognition software for in-field analysis of radiation sources

    International Nuclear Information System (INIS)

    Murray, W.S.; Ziemba, F.; Szluk, N.

    1998-01-01

    RangerMaster trademark is the embedded firmware for Quantrad Sensor's integrated nuclear instrument package, the Ranger trademark. The Ranger trademark, which is both a gamma-ray and neutron detection system, was originally developed at Los Alamos National Laboratory for in situ surveys at the Plutonium Facility to confirm the presence of nuclear materials. The new RangerMaster trademark software expands the library of isotopes and simplifies the operation of the instrument by providing an easy mode suitable for untrained operators. The expanded library of the Ranger trademark now includes medical isotopes 99 Tc, 201 Tl, 111 In, 67 Ga, 133 Xe, 103 Pa, and 131 I; industrial isotopes 241 Am, 57 Co, 133 Ba, 137 Cs, 40 K, 60 Co, 232 Th, 226 Ra, and 207 Bi; and nuclear materials 235 U, 238 U, 233 U, and 239 Pu. To accomplish isotopic identification, a simulated spectrum for each of the isotopes was generated using SYNTH. The SYNTH spectra formed the basis for the knowledge-based expert system and selection of the regions of interest that are used in the pattern recognition system. The knowledge-based pattern recognition system was tested against actual spectra under field conditions

  7. RangerMasterTM: real-time pattern recognition software for in-field analysis of radiation sources

    International Nuclear Information System (INIS)

    Murray, W.S.; Ziemba, F.; Szluk, N.

    1998-01-01

    RangerMaster TM is the embedded firmware for Quantrad Sensor's integrated nuclear instrument package, the Ranger TM . The Ranger TM , which is both a gamma-ray and neutron detection system, was originally developed at Los Alamos National Laboratory for in situ surveys at the Plutonium Facility to confirm the presence of nuclear materials. The new RangerMaster TM software expands the library of isotopes and simplifies the operation of the instrument by providing an 'easy' mode suitable for untrained operators. The expanded library of the Ranger TM now includes medical isotopes 99 Tc, 201 Tl, 111 In, 67 Ga, 133 Xe, 103 Pa, and 131 I; industrial isotopes 241 Am, 57 Co, 133 Ba, 137 Cs, 40 K, 60 Co, 232 Th, 226 Ra, and 207 Bi; and nuclear materials 235 U, 238 U, 233 U, and 239 Pu. To accomplish isotopic identification, a simulated spectrum for each of the isotopes was generated using SYNTH 2 . The SYNTH spectra formed the basis for the knowledge-based expert system and selection of the regions of interest that are used in the pattern recognition system. The knowledge-based pattern recognition system was tested against actual spectra under field conditions. (author)

  8. Insights into molecular recognition of LewisX mimics by DC-SIGN using NMR and molecular modelling

    International Nuclear Information System (INIS)

    Guzzi, C.; Angulo, J.; Rojo, J.; Nieto, P.M.; Doro, F.; Bernardi, A.; Thepaut, M.; Fieschi, F.; Thepaut, M.; Fieschi, F.

    2011-01-01

    In this work, we have studied in detail the binding of two α-fucosyl-amide-based mimics of Lewis X to DC-SIGN ECD (ECD = extracellular domain) using STD NMR and docking. We have concluded that the binding mode occurs mainly through the fucose moiety, in the same way as Lewis X . Similarly to other mimics containing mannose or fucose previously studied, we have shown that both compounds bind to DC-SIGN ECD in a multimodal fashion. In this case, the main contact is the interaction of two hydroxyl groups one equatorial and the other one axial (O3 and O4) of the fucose with the Ca 2+ as Lewis X and similarly to mannose-containing mimics (in this case the interacting groups are both in the equatorial position). Finally, we have measured the K D of one mimic that was 0.4 mM. Competitive STD NMR experiments indicate that the aromatic moiety provides additional binding contacts that increase the affinity. (authors)

  9. Facial recognition software success rates for the identification of 3D surface reconstructed facial images: implications for patient privacy and security.

    Science.gov (United States)

    Mazura, Jan C; Juluru, Krishna; Chen, Joseph J; Morgan, Tara A; John, Majnu; Siegel, Eliot L

    2012-06-01

    Image de-identification has focused on the removal of textual protected health information (PHI). Surface reconstructions of the face have the potential to reveal a subject's identity even when textual PHI is absent. This study assessed the ability of a computer application to match research subjects' 3D facial reconstructions with conventional photographs of their face. In a prospective study, 29 subjects underwent CT scans of the head and had frontal digital photographs of their face taken. Facial reconstructions of each CT dataset were generated on a 3D workstation. In phase 1, photographs of the 29 subjects undergoing CT scans were added to a digital directory and tested for recognition using facial recognition software. In phases 2-4, additional photographs were added in groups of 50 to increase the pool of possible matches and the test for recognition was repeated. As an internal control, photographs of all subjects were tested for recognition against an identical photograph. Of 3D reconstructions, 27.5% were matched correctly to corresponding photographs (95% upper CL, 40.1%). All study subject photographs were matched correctly to identical photographs (95% lower CL, 88.6%). Of 3D reconstructions, 96.6% were recognized simply as a face by the software (95% lower CL, 83.5%). Facial recognition software has the potential to recognize features on 3D CT surface reconstructions and match these with photographs, with implications for PHI.

  10. Low-level RF LabVIEW reg-sign control software user's manual: Version 1.0

    International Nuclear Information System (INIS)

    1992-06-01

    This document details information on the low-level radio frequency (LLRF) software control package. The chapters in this manual cover the following topics: Chapter one describes the general operating principles of the LabVIEW software package, and also discusses the high-level menu panels which allow access to the individual control panels. Chapter two covers the control panels used for conditioning the cavity, and for controlling the accelerator under normal operating conditions. Chapter three provides information on the resonance detection and reflectometer calibration function, including the setup and status panels for each. Chapter four contain instructions on the use of those panels dedicated to controlling the cavity RF field. Chapter five discusses the control panels that provide setup and status information on the diagnostic monitor subsystem. Chapter six outlines those panels used to control the timing functions provided by the LLRF system. Finally, chapter seven describes the control panels used to monitor and adjust the alarm and limit functions of the system. Throughout the document, it is assumed that the reader has a general working knowledge of accelerators, high-power amplifier equipment, and low-level RF (LLRF) control systems. References are listed as footnotes as they occur in the text

  11. Application of neural network and pattern recognition software to the automated analysis of continuous nuclear monitoring of on-load reactors

    Energy Technology Data Exchange (ETDEWEB)

    Howell, J.A.; Eccleston, G.W.; Halbig, J.K.; Klosterbuer, S.F. [Los Alamos National Lab., NM (United States); Larson, T.W. [California Polytechnic State Univ., San Luis Obispo, CA (US)

    1993-08-01

    Automated analysis using pattern recognition and neural network software can help interpret data, call attention to potential anomalies, and improve safeguards effectiveness. Automated software analysis, based on pattern recognition and neural networks, was applied to data collected from a radiation core discharge monitor system located adjacent to an on-load reactor core. Unattended radiation sensors continuously collect data to monitor on-line refueling operations in the reactor. The huge volume of data collected from a number of radiation channels makes it difficult for a safeguards inspector to review it all, check for consistency among the measurement channels, and find anomalies. Pattern recognition and neural network software can analyze large volumes of data from continuous, unattended measurements, thereby improving and automating the detection of anomalies. The authors developed a prototype pattern recognition program that determines the reactor power level and identifies the times when fuel bundles are pushed through the core during on-line refueling. Neural network models were also developed to predict fuel bundle burnup to calculate the region on the on-load reactor face from which fuel bundles were discharged based on the radiation signals. In the preliminary data set, which was limited and consisted of four distinct burnup regions, the neural network model correctly predicted the burnup region with an accuracy of 92%.

  12. Malaysian sign language dataset for automatic sign language ...

    African Journals Online (AJOL)

    Journal of Fundamental and Applied Sciences. Journal Home · ABOUT ... SL recognition system based on the Malaysian Sign Language (MSL). Implementation results are described. Keywords: sign language; pattern classification; database.

  13. Avaliação de alunos e professores acerca do software "Sinais Vitais" Evaluación de estudiantes y profesores acerca del software "señales vitales" Evaluation of students and teachers concerning the "vital signs" software

    Directory of Open Access Journals (Sweden)

    Marcos Venícios de Oliveira Lopes

    2004-12-01

    Full Text Available Este artigo teve por objetivo levantar as opiniões de alunos e professores sobre o software "Sinais Vitais". O trabalho foi desenvolvido no Departamento de Enfermagem da Universidade Federal do Ceará. Trabalhou-se com um total de seis alunos e três professores, os quais foram submetidos a uma entrevista após a utilização do software. As entrevistas geraram dez categorias, as quais foram separadas em dois temas: Características que estimularam a utilização do software "Sinais Vitais" e Software educacionalmente correto. Concluiu-se que os professores valorizaram a correção do conteúdo, enquanto os alunos enfocaram mais a dinâmica do programa.Este artículo tuvo por objetivo levantar las opiniones de alumnos y profesores sobre el software "Señales Vitales". El trabajo fue desarrollado en el Departamento de Enfermería de la Universidad Federal de Ceará. Se trabajó con un total de 6 alumnos y 3 profesores, los cuales fueron sometidos a una entrevista después de la utilización del software. Las entrevistas generaron 10 categorías, que fueron separadas en dos temas: Características que estimularon la utilización del software "Señales Vitales"; y software educativamente correcto. Se concluyó que los profesores valoraron la corrección del contenido, mientras que los alumnos enfocaron más la dinámica del programa.This article had for objective to get students' and teacher's opinions about "Vital Signals" software. The investigation was developed in the Nursing Department of the Federal University of Ceará. The sample population was a total of 6 students and 3 teachers, who were submitted to an interview after using the software. The interviews generated 10 categories, which were separated in two themes: Features which stimulated the use of the "Vital Signals" software; and software educationally correct. The results showed that the teachers valued the correction of the content, while the students focused more on the dynamics

  14. Crystallization and preliminary X-ray diffraction studies of the carbohydrate-recognition domain of SIGN-R1, a receptor for microbial polysaccharides and sialylated antibody on splenic marginal zone macrophages

    International Nuclear Information System (INIS)

    Silva-Martin, Noella; Schauer, Joseph D.; Park, Chae Gyu; Hermoso, Juan A.

    2009-01-01

    The carbohydrate-recognition domain of the SIGN-R1 receptor from M. musculus has been crystallized by the hanging-drop vapour-diffusion method. A native data set has been collected to 1.87 Å resolution. SIGN-R1, or CD209b, is a mouse C-type lectin receptor that is expressed at high levels on macrophages in lymphoid tissues, especially within the marginal zone of the spleen. SIGN-R1 can bind and mediate the uptake of various microbial polysaccharides, including dextrans, lipopolysaccharides and pneumococcal capsular polysaccharides. It has been shown that SIGN-R1 mediates the clearance of encapsulated pneumococcus, complement fixation via binding C1q independent of antibody and innate resistance to pneumococcal infection. Recently, SIGN-R1 has also been demonstrated to bind sialylated antibody and mediate its activity to suppress autoimmunity. The carbohydrate-recognition domain (CRD) of SIGN-R1 has been cloned and overexpressed in a soluble secretory form in mammalian Chinese hamster ovary (CHO) cells. The CRD protein of SIGN-R1 was purified from CHO cell-culture supernatant and concentrated for crystallization using the hanging-drop vapour-diffusion method at 291 K. Crystals grew from a mixture of 2 M ammonium sulfate in 0.1 M bis-tris pH 5.5. Single crystals, which belonged to the monoclinic space group C2 with unit-cell parameters a = 146.72, b = 92.77, c = 77.06 Å, β = 121.66°, allowed the collection of a full X-ray data set to a maximum resolution of 1.87 Å

  15. Crystallization and preliminary X-ray diffraction studies of the carbohydrate-recognition domain of SIGN-R1, a receptor for microbial polysaccharides and sialylated antibody on splenic marginal zone macrophages

    Energy Technology Data Exchange (ETDEWEB)

    Silva-Martin, Noella [Grupo de Cristalografía Macromolecular y Biología Estructural, Instituto de Química-Física ‘Rocasolano’, Consejo Superior de Investigaciones Científicas, Serrano 119, 28006 Madrid (Spain); Schauer, Joseph D.; Park, Chae Gyu [Laboratory of Cellular Physiology and Immunology and Chris Browne Center for Immunology and Immune Diseases, The Rockefeller University, 1230 York Avenue, New York, NY 10065 (United States); Hermoso, Juan A., E-mail: xjuan@iqfr.csic.es [Grupo de Cristalografía Macromolecular y Biología Estructural, Instituto de Química-Física ‘Rocasolano’, Consejo Superior de Investigaciones Científicas, Serrano 119, 28006 Madrid (Spain)

    2009-12-01

    The carbohydrate-recognition domain of the SIGN-R1 receptor from M. musculus has been crystallized by the hanging-drop vapour-diffusion method. A native data set has been collected to 1.87 Å resolution. SIGN-R1, or CD209b, is a mouse C-type lectin receptor that is expressed at high levels on macrophages in lymphoid tissues, especially within the marginal zone of the spleen. SIGN-R1 can bind and mediate the uptake of various microbial polysaccharides, including dextrans, lipopolysaccharides and pneumococcal capsular polysaccharides. It has been shown that SIGN-R1 mediates the clearance of encapsulated pneumococcus, complement fixation via binding C1q independent of antibody and innate resistance to pneumococcal infection. Recently, SIGN-R1 has also been demonstrated to bind sialylated antibody and mediate its activity to suppress autoimmunity. The carbohydrate-recognition domain (CRD) of SIGN-R1 has been cloned and overexpressed in a soluble secretory form in mammalian Chinese hamster ovary (CHO) cells. The CRD protein of SIGN-R1 was purified from CHO cell-culture supernatant and concentrated for crystallization using the hanging-drop vapour-diffusion method at 291 K. Crystals grew from a mixture of 2 M ammonium sulfate in 0.1 M bis-tris pH 5.5. Single crystals, which belonged to the monoclinic space group C2 with unit-cell parameters a = 146.72, b = 92.77, c = 77.06 Å, β = 121.66°, allowed the collection of a full X-ray data set to a maximum resolution of 1.87 Å.

  16. The software for automatic creation of the formal grammars used by speech recognition, computer vision, editable text conversion systems, and some new functions

    Science.gov (United States)

    Kardava, Irakli; Tadyszak, Krzysztof; Gulua, Nana; Jurga, Stefan

    2017-02-01

    For more flexibility of environmental perception by artificial intelligence it is needed to exist the supporting software modules, which will be able to automate the creation of specific language syntax and to make a further analysis for relevant decisions based on semantic functions. According of our proposed approach, of which implementation it is possible to create the couples of formal rules of given sentences (in case of natural languages) or statements (in case of special languages) by helping of computer vision, speech recognition or editable text conversion system for further automatic improvement. In other words, we have developed an approach, by which it can be achieved to significantly improve the training process automation of artificial intelligence, which as a result will give us a higher level of self-developing skills independently from us (from users). At the base of our approach we have developed a software demo version, which includes the algorithm and software code for the entire above mentioned component's implementation (computer vision, speech recognition and editable text conversion system). The program has the ability to work in a multi - stream mode and simultaneously create a syntax based on receiving information from several sources.

  17. Traffic sign detection and analysis

    DEFF Research Database (Denmark)

    Møgelmose, Andreas; Trivedi, Mohan M.; Moeslund, Thomas B.

    2012-01-01

    Traffic sign recognition (TSR) is a research field that has seen much activity in the recent decade. This paper introduces the problem and presents 4 recent papers on traffic sign detection and 4 recent papers on traffic sign classification. It attempts to extract recent trends in the field...

  18. SIGNS The sandwich sign

    African Journals Online (AJOL)

    The sandwich sign is demonstrated on cross-sectional imaging, commonly on CT or ultrasound. It refers to homogeneous soft- tissue masses representing mesenteric lymphadenopathy as the two halves of a sandwich bun, encasing the mesenteric fat and tubular mesenteric vessels that constitute the 'sandwich filling' (Figs ...

  19. Toward the Ideal Signing Avatar

    Directory of Open Access Journals (Sweden)

    Nicoletta Adamo-Villani

    2016-06-01

    Full Text Available The paper discusses ongoing research on the effects of a signing avatar's modeling/rendering features on the perception of sign language animation. It reports a recent study that aimed to determine whether a character's visual style has an effect on how signing animated characters are perceived by viewers. The stimuli of the study were two polygonal characters presenting two different visual styles: stylized and realistic. Each character signed four sentences. Forty-seven participants with experience in American Sign Language (ASL viewed the animated signing clips in random order via web survey. They (1 identified the signed sentences (if recognizable, (2 rated their legibility, and (3 rated the appeal of the signing avatar. Findings show that while character's visual style does not have an effect on subjects' perceived legibility of the signs and sign recognition, it has an effect on subjects' interest in the character. The stylized signing avatar was perceived as more appealing than the realistic one.

  20. Pattern recognition and data mining software based on artificial neural networks applied to proton transfer in aqueous environments

    International Nuclear Information System (INIS)

    Tahat Amani; Marti Jordi; Khwaldeh Ali; Tahat Kaher

    2014-01-01

    In computational physics proton transfer phenomena could be viewed as pattern classification problems based on a set of input features allowing classification of the proton motion into two categories: transfer ‘occurred’ and transfer ‘not occurred’. The goal of this paper is to evaluate the use of artificial neural networks in the classification of proton transfer events, based on the feed-forward back propagation neural network, used as a classifier to distinguish between the two transfer cases. In this paper, we use a new developed data mining and pattern recognition tool for automating, controlling, and drawing charts of the output data of an Empirical Valence Bond existing code. The study analyzes the need for pattern recognition in aqueous proton transfer processes and how the learning approach in error back propagation (multilayer perceptron algorithms) could be satisfactorily employed in the present case. We present a tool for pattern recognition and validate the code including a real physical case study. The results of applying the artificial neural networks methodology to crowd patterns based upon selected physical properties (e.g., temperature, density) show the abilities of the network to learn proton transfer patterns corresponding to properties of the aqueous environments, which is in turn proved to be fully compatible with previous proton transfer studies. (condensed matter: structural, mechanical, and thermal properties)

  1. Enhanced Recognition of Written Words and Enjoyment of Reading in Struggling Beginner Readers through Whole-Word Multimedia Software

    Science.gov (United States)

    Karemaker, Arjette; Pitchford, Nicola J.; O'Malley, Claire

    2010-01-01

    The effectiveness of a reading intervention using the whole-word multimedia software "Oxford Reading Tree (ORT) for Clicker" was compared to a reading intervention using traditional ORT Big Books. Developing literacy skills and attitudes towards learning to read were assessed in a group of 17 struggling beginner readers aged 5-6 years. Each child…

  2. Productivity, part 2: cloud storage, remote meeting tools, screencasting, speech recognition software, password managers, and online data backup.

    Science.gov (United States)

    Lackey, Amanda E; Pandey, Tarun; Moshiri, Mariam; Lalwani, Neeraj; Lall, Chandana; Bhargava, Puneet

    2014-06-01

    It is an opportune time for radiologists to focus on personal productivity. The ever increasing reliance on computers and the Internet has significantly changed the way we work. Myriad software applications are available to help us improve our personal efficiency. In this article, the authors discuss some tools that help improve collaboration and personal productivity, maximize e-learning, and protect valuable digital data. Published by Elsevier Inc.

  3. Citation and Recognition of contributions using Semantic Provenance Knowledge Captured in the OPeNDAP Software Framework

    Science.gov (United States)

    West, P.; Michaelis, J.; Lebot, T.; McGuinness, D. L.; Fox, P. A.

    2014-12-01

    Providing proper citation and attribution for published data, derived data products, and the software tools used to generate them, has always been an important aspect of scientific research. However, It is often the case that this type of detailed citation and attribution is lacking. This is in part because it often requires manual markup since dynamic generation of this type of provenance information is not typically done by the tools used to access, manipulate, transform, and visualize data. In addition, the tools themselves lack the information needed to be properly cited themselves. The OPeNDAP Hyrax Software Framework is a tool that provides access to and the ability to constrain, manipulate, and transform, different types of data from different data formats, into a common format, the DAP (Data Access Protocol), in order to derive new data products. A user, or another software client, specifies an HTTP URL in order to access a particular piece of data, and appropriately transform it to suit a specific purpose of use. The resulting data products, however, do not contain any information about what data was used to create it, or the software process used to generate it, let alone information that would allow the proper citing and attribution to down stream researchers and tool developers. We will present our approach to provenance capture in Hyrax including a mechanism that can be used to report back to the hosting site any derived products, such as publications and reports, using the W3C PROV recommendation pingback service. We will demonstrate our utilization of Semantic Web and Web standards, the development of an information model that extends the PROV model for provenance capture, and the development of the pingback service. We will present our findings, as well as our practices for providing provenance information, visualization of the provenance information, and the development of pingback services, to better enable scientists and tool developers to be

  4. An investigation and comparison of speech recognition software for determining if bird song recordings contain legible human voices

    Directory of Open Access Journals (Sweden)

    Tim D. Hunt

    Full Text Available The purpose of this work was to test the effectiveness of using readily available speech recognition API services to determine if recordings of bird song had inadvertently recorded human voices. A mobile phone was used to record a human speaking at increasing distances from the phone in an outside setting with bird song occurring in the background. One of the services was trained with sample recordings and each service was compared for their ability to return recognized words. The services from Google and IBM performed similarly and the Microsoft service, that allowed training, performed slightly better. However, all three services failed to perform at a level that would enable recordings with recognizable human speech to be deleted in order to maintain full privacy protection.

  5. ATMS software: Fuzzy Hough Transform in a hybrid algorithm for counting the overlapped etched tracks and orientation recognition

    International Nuclear Information System (INIS)

    Khayat, O.; Ghergherehchi, M.; Afarideh, H.; Durrani, S.A.; Pouyan, Ali A.; Kim, Y.S.

    2013-01-01

    A computer program named ATMS written in MATLAB and running with a friendly interface has been developed for recognition and parametric measurements of etched tracks in images captured from the surface of Solid State Nuclear Track Detectors. The program, using image analysis tools, counts the number of etched tracks and depending on the current working mode classifies them according to their radii (small object removal) or their axis (non-perpendicular or non-circular etched tracks), their mean intensity value and their orientation through the minor and major axes. Images of the detectors' surfaces are input to the code, which generates text and figure files as output, including the number of counted etched tracks with the associated track parameters, histograms and a figure showing edge and center of detected etched tracks. ATMS code is running hierarchically as calibration, testing and measurement modes to demonstrate the reliability, repeatability and adaptability. Fuzzy Hough Transform is used for the estimation of the number of etched tracks and their parameters, providing results even in cases that overlapping and orientation occur. ATMS code is finally converted to a standalone file which makes it able to run out of MATLAB environment. - Highlights: ► Presenting a novel code named ATMS for nuclear track measurements. ► Execution in three modes for generality, adaptability and reliability. ► Using Fuzzy Hough Transform for overlapping detection and orientation recognition. ► Using DFT as a filter for noise removal process in track images. ► Processing the noisy track images and demonstration of the presented code

  6. Simple and efficient method for region of interest value extraction from picture archiving and communication system viewer with optical character recognition software and macro program.

    Science.gov (United States)

    Lee, Young Han; Park, Eun Hae; Suh, Jin-Suck

    2015-01-01

    The objectives are: 1) to introduce a simple and efficient method for extracting region of interest (ROI) values from a Picture Archiving and Communication System (PACS) viewer using optical character recognition (OCR) software and a macro program, and 2) to evaluate the accuracy of this method with a PACS workstation. This module was designed to extract the ROI values on the images of the PACS, and created as a development tool by using open-source OCR software and an open-source macro program. The principal processes are as follows: (1) capture a region of the ROI values as a graphic file for OCR, (2) recognize the text from the captured image by OCR software, (3) perform error-correction, (4) extract the values including area, average, standard deviation, max, and min values from the text, (5) reformat the values into temporary strings with tabs, and (6) paste the temporary strings into the spreadsheet. This principal process was repeated for the number of ROIs. The accuracy of this module was evaluated on 1040 recognitions from 280 randomly selected ROIs of the magnetic resonance images. The input times of ROIs were compared between conventional manual method and this extraction module-assisted input method. The module for extracting ROI values operated successfully using the OCR and macro programs. The values of the area, average, standard deviation, maximum, and minimum could be recognized and error-corrected with AutoHotkey-coded module. The average input times using the conventional method and the proposed module-assisted method were 34.97 seconds and 7.87 seconds, respectively. A simple and efficient method for ROI value extraction was developed with open-source OCR and a macro program. Accurate inputs of various numbers from ROIs can be extracted with this module. The proposed module could be applied to the next generation of PACS or existing PACS that have not yet been upgraded. Copyright © 2015 AUR. Published by Elsevier Inc. All rights reserved.

  7. Frequency and analysis of non-clinical errors made in radiology reports using the National Integrated Medical Imaging System voice recognition dictation software.

    Science.gov (United States)

    Motyer, R E; Liddy, S; Torreggiani, W C; Buckley, O

    2016-11-01

    Voice recognition (VR) dictation of radiology reports has become the mainstay of reporting in many institutions worldwide. Despite benefit, such software is not without limitations, and transcription errors have been widely reported. Evaluate the frequency and nature of non-clinical transcription error using VR dictation software. Retrospective audit of 378 finalised radiology reports. Errors were counted and categorised by significance, error type and sub-type. Data regarding imaging modality, report length and dictation time was collected. 67 (17.72 %) reports contained ≥1 errors, with 7 (1.85 %) containing 'significant' and 9 (2.38 %) containing 'very significant' errors. A total of 90 errors were identified from the 378 reports analysed, with 74 (82.22 %) classified as 'insignificant', 7 (7.78 %) as 'significant', 9 (10 %) as 'very significant'. 68 (75.56 %) errors were 'spelling and grammar', 20 (22.22 %) 'missense' and 2 (2.22 %) 'nonsense'. 'Punctuation' error was most common sub-type, accounting for 27 errors (30 %). Complex imaging modalities had higher error rates per report and sentence. Computed tomography contained 0.040 errors per sentence compared to plain film with 0.030. Longer reports had a higher error rate, with reports >25 sentences containing an average of 1.23 errors per report compared to 0-5 sentences containing 0.09. These findings highlight the limitations of VR dictation software. While most error was deemed insignificant, there were occurrences of error with potential to alter report interpretation and patient management. Longer reports and reports on more complex imaging had higher error rates and this should be taken into account by the reporting radiologist.

  8. Auditory Modeling for Noisy Speech Recognition

    National Research Council Canada - National Science Library

    2000-01-01

    ... digital filtering for noise cancellation which interfaces to speech recognition software. It uses auditory features in speech recognition training, and provides applications to multilingual spoken language translation...

  9. Metacarpal sign

    Directory of Open Access Journals (Sweden)

    Barbara Nieradko-Iwanicka

    2018-02-01

    Full Text Available Background Archibald's sign, or metacarpal sign is defined as shortening of the IV and V metacarpal bones, is a rare phenomenon found in the Turner syndrome, homocystinuria and in Albright's osteodystrophy. Objectives The aim of the article was to show a rare case of metacarpal sign with atypical shortening of the III and IV metacarpal bones not connected with gonadal dysgenesia, genetic disorders nor osteodystrophy. Material and methods Case report of a 60-year-old female patient. Results Artchibald's metacarpal sign in the described case was accompanied by erosive arthritis in the left lower extremity. No features of genetic disorders nor gonadal disgenesia were found in the patient. Undifferentiated seronegative asymmetric erosive arthritis developed in the patient. The level of parathormon was within the normal range. No signs of tumor were seen in bone scintigraphy. Conclusions Archibald's metacarpal sign may be present in patients without genetic disorders.

  10. Acetabular retroversion as a rare cause of chronic hip pain: recognition of the ''figure-eight'' sign

    Energy Technology Data Exchange (ETDEWEB)

    Banks, Kevin P. [Brooke Army Medical Center, Department of Radiology, Fort Sam Houston, TX (United States); Grayson, David E. [Wilford Hall Medical Center, Department of Radiology, Lackland Air Force Base, TX (United States)

    2007-06-15

    While well-recognized in the orthopedic literature as a cause of chronic hip pain, acetabular retroversion has not been specifically described in the radiologic literature. Acetabular retroversion represents a particular form of hip dysplasia characterized by abnormal posterolateral orientation of the acetabulum. This pathophysiology predisposes the individual to subsequent anterior impingement of the femoral neck upon the anterior acetabular margin and fibrous labrum. Without treatment, cases may progress to damage of the anterior labrum and cartilage, with eventual early onset of osteoarthritic disease. This impinging condition has been described as occurring in isolation or as part of a complex dysplasia. We describe two cases of acetabular retroversion diagnosed by conventional radiographic evaluation of the pelvis, one in isolation and one occurring in the setting of a larger congenital syndrome. These cases illustrate the utility of the ''figure-eight'' sign in identifying abnormalities of acetabular version and thus assisting clinicians in properly identifying these individuals so that appropriate therapy may be instituted. (orig.)

  11. Successful Teaching of Radiobiology Students in the Medical Management of Acute Radiation Effects From Real Case Histories Using Clinical Signs and Symptoms and Taking Advantage of Recently Developed Software Tools.

    Science.gov (United States)

    Majewski, Matthäus; Combs, Stephanie E; Trott, Klaus-Rüdiger; Abend, Michael; Port, Matthias

    2018-07-01

    In 2015, the Bundeswehr Institute of Radiobiology organized a North Atlantic Treaty Organization exercise to examine the significance of clinical signs and symptoms for the prediction of late-occurring acute radiation syndrome. Cases were generated using either the Medical Treatment Protocols for Radiation Accident Victims (METREPOL, n = 167) system or using real-case descriptions extracted from a database system for evaluation and archiving of radiation accidents based on case histories (SEARCH, n = 24). The cases ranged from unexposed [response category 0 (RC 0, n = 89)] to mild (RC 1, n = 45), moderate (RC 2, n = 19), severe (RC 3, n = 20), and lethal (RC 4, n = 18) acute radiation syndrome. During the previous exercise, expert teams successfully predicted hematological acute radiation syndrome severity, determined whether hospitalization was required, and gave treatment recommendations, taking advantage of different software tools developed by the North Atlantic Treaty Organization teams. The authors provided the same data set to radiobiology students who were introduced to the medical management of acute effects after radiation exposure and the software tools during a class lasting 15 h. Corresponding to the previous results, difficulties in the discrimination between RC 0/RC 1 and RC 3/RC 4, as well as a systematic underestimation of RC 1 and RC 2, were observed. Nevertheless, after merging reported response categories into clinically relevant groups (RC 0-1, RC 2-3, and RC 3-4), it was found that the majority of cases (95.2% ± 2.2 standard deviations) were correctly identified and that 94.7% (±2.6 standard deviations) developing acute radiation syndrome and z96.4% (±1.6 standard deviations) requiring hospitalization were identified correctly. Two out of three student teams also provided a dose estimate. These results are comparable to the best-performing team of the 2015 North Atlantic Treaty Organization exercise (response category: 92.5%; acute

  12. sign-by-sign'' correlation

    International Nuclear Information System (INIS)

    Schmidt, Sabine; Lepori, Domenico; Meuwly, Jean-Yves; Duvoisin, Bertrand; Meuli, Reto; Schnyder, Pierre; Denys, Alban; Michetti, Pierre; Felley, Christian; Melle, Guy van

    2003-01-01

    Our objective was a prospective comparison of MR enteroclysis (MRE) with multidetector spiral-CT enteroclysis (MSCTE). Fifty patients with various suspected small bowel diseases were investigated by MSCTE and MRE. The MSCTE was performed using slices of 2.5 mm, immediately followed by MRE, obtaining T1- and T2-weighted sequences, including gadolinium-enhanced acquisition with fat saturation. Three radiologists independently evaluated MSCTE and MRE searching for 12 pathological signs. Interobserver agreement was calculated. Sensitivities and specificities resulted from comparison with pathological results (n=29) and patient's clinical evolution (n=21). Most pathological signs, such as bowel wall thickening (BWT), bowel wall enhancement (BWE) and lymphadenopathy (ADP), showed better interobserver agreement on MSCTE than on MRE (BWT: 0.65 vs 0.48; BWE: 0.51 vs 0.37; ADP: 0.52 vs 0.15). Sensitivity of MSCTE was higher than that of MRE in detecting BWT (88.9 vs 60%), BWE (78.6 vs 55.5%) and ADP (63.8 vs 14.3%). Wilcoxon signed-rank test revealed significantly better sensitivity of MSCTE than that of MRE for each observer (p=0.028, p=0.046, p=0.028, respectively). Taking the given study design into account, MSCTE provides better sensitivity in detecting lesions of the small bowel than MRE, with higher interobserver agreement. (orig.)

  13. Signing off

    Science.gov (United States)

    2001-05-01

    sharp that they cause paper cuts. Stains. If you accidentally spill some food or drink on your clothes, make sure you attempt to remove it as soon as possible and preferably within the same lunar cycle. Some teachers seem to think they should be worn with pride like the stains on a chemistry teacher's white coat. This is a myth. Materials. For scientists continually teaching about the wonder of smart materials, physics teachers are remarkably conservative in their choice of materials for their clothes. Try to break out from the traditional corduroy and tweed and practise what you teach. It is not acceptable to wear the actual tie you wore at school, as this will be at least 20 years old, be rather frayed and will have your name sewn in the back by your mum. Steven Chapman Science Year Manager, British Association for the Advancement of Science Signing Off takes a humorous and irreverent look at physics education. The views expressed here are those of the author and are not endorsed by the Editorial Board for Physics Education. Can you contribute a zany attitude or humorous anecdote? Please send your offering to ped@iop.org marked Signing Off.

  14. Headaches - danger signs

    Science.gov (United States)

    Migraine headache - danger signs; Tension headache - danger signs; Cluster headache - danger signs; Vascular headache - danger signs ... and other head pain. In: Goldman L, Schafer AI, eds. Goldman-Cecil Medicine . 25th ed. Philadelphia, PA: ...

  15. A Single Case Design Evaluation of a Software and Tutor Intervention Addressing Emotion Recognition and Social Interaction in Four Boys with ASD

    Science.gov (United States)

    Lacava, Paul G.; Rankin, Ana; Mahlios, Emily; Cook, Katie; Simpson, Richard L.

    2010-01-01

    Many students with Autism Spectrum Disorders (ASD) have delays learning to recognize emotions. Social behavior is also challenging, including initiating interactions, responding to others, developing peer relationships, and so forth. In this single case design study we investigated the relationship between use of computer software ("Mind Reading:…

  16. Name signs in Danish Sign Language

    DEFF Research Database (Denmark)

    Bakken Jepsen, Julie

    2018-01-01

    in spoken languages, where a person working as a blacksmith by his friends might be referred to as ‘The Blacksmith’ (‘Here comes the Blacksmith!’) instead of using the person’s first name. Name signs are found not only in Danish Sign Language (DSL) but in most, if not all, sign languages studied to date....... This article provides examples of the creativity of the users of Danish Sign Language, including some of the processes in the use of metaphors, visual motivation and influence from Danish when name signs are created.......A name sign is a personal sign assigned to deaf, hearing impaired and hearing persons who enter the deaf community. The mouth action accompanying the sign reproduces all or part of the formal first name that the person has received by baptism or naming. Name signs can be compared to nicknames...

  17. Single Sign-on Authentication server (part of CLARIN infrastructure)

    NARCIS (Netherlands)

    de Jong, H.A.; Maas, M.

    2013-01-01

    The Huygens Single Sign-on server allows federated logins (authentication) via SURFconext affiliates thus facilitating all connected (academic / research) institutes to use online Huygens ING software services.

  18. Warning Signs of Bullying

    Science.gov (United States)

    ... of Aggressive Behavior Print Share Warning Signs for Bullying There are many warning signs that may indicate ... Get help right away . Signs a Child is Bullying Others Kids may be bullying others if they: ...

  19. Pattern recognition

    CERN Document Server

    Theodoridis, Sergios

    2003-01-01

    Pattern recognition is a scientific discipline that is becoming increasingly important in the age of automation and information handling and retrieval. Patter Recognition, 2e covers the entire spectrum of pattern recognition applications, from image analysis to speech recognition and communications. This book presents cutting-edge material on neural networks, - a set of linked microprocessors that can form associations and uses pattern recognition to ""learn"" -and enhances student motivation by approaching pattern recognition from the designer's point of view. A direct result of more than 10

  20. Factors that motivate software developers in Nigerian's software ...

    African Journals Online (AJOL)

    It was also observed those courtesy, good reward systems, regular training, recognition, tolerance of mistakes and good leadership were high motivators of software developers. Keywords: Software developers, information technology, project managers, Nigeria International Journal of Natural and Applied Sciences, 6(4): ...

  1. Signed reward prediction errors drive declarative learning.

    Directory of Open Access Journals (Sweden)

    Esther De Loof

    Full Text Available Reward prediction errors (RPEs are thought to drive learning. This has been established in procedural learning (e.g., classical and operant conditioning. However, empirical evidence on whether RPEs drive declarative learning-a quintessentially human form of learning-remains surprisingly absent. We therefore coupled RPEs to the acquisition of Dutch-Swahili word pairs in a declarative learning paradigm. Signed RPEs (SRPEs; "better-than-expected" signals during declarative learning improved recognition in a follow-up test, with increasingly positive RPEs leading to better recognition. In addition, classic declarative memory mechanisms such as time-on-task failed to explain recognition performance. The beneficial effect of SRPEs on recognition was subsequently affirmed in a replication study with visual stimuli.

  2. Signed reward prediction errors drive declarative learning.

    Science.gov (United States)

    De Loof, Esther; Ergo, Kate; Naert, Lien; Janssens, Clio; Talsma, Durk; Van Opstal, Filip; Verguts, Tom

    2018-01-01

    Reward prediction errors (RPEs) are thought to drive learning. This has been established in procedural learning (e.g., classical and operant conditioning). However, empirical evidence on whether RPEs drive declarative learning-a quintessentially human form of learning-remains surprisingly absent. We therefore coupled RPEs to the acquisition of Dutch-Swahili word pairs in a declarative learning paradigm. Signed RPEs (SRPEs; "better-than-expected" signals) during declarative learning improved recognition in a follow-up test, with increasingly positive RPEs leading to better recognition. In addition, classic declarative memory mechanisms such as time-on-task failed to explain recognition performance. The beneficial effect of SRPEs on recognition was subsequently affirmed in a replication study with visual stimuli.

  3. 'Felson Signs' revisited

    International Nuclear Information System (INIS)

    George, Phiji P.; Irodi, Aparna; Keshava, Shyamkumar N.; Lamont, Anthony C.

    2014-01-01

    In this article we revisit, with the help of images, those classic signs in chest radiography described by Dr Benjamin Felson himself, or other illustrious radiologists of his time, cited and discussed in 'Chest Roentgenology'. We briefly describe the causes of the signs, their utility and the differential diagnosis to be considered when each sign is seen. Wherever possible, we use CT images to illustrate the basis of some of these classic radiographic signs.

  4. Signed languages and globalization

    NARCIS (Netherlands)

    Hiddinga, A.; Crasborn, O.

    2011-01-01

    Deaf people who form part of a Deaf community communicate using a shared sign language. When meeting people from another language community, they can fall back on a flexible and highly context-dependent form of communication called international sign, in which shared elements from their own sign

  5. British Sign Name Customs

    Science.gov (United States)

    Day, Linda; Sutton-Spence, Rachel

    2010-01-01

    Research presented here describes the sign names and the customs of name allocation within the British Deaf community. While some aspects of British Sign Language sign names and British Deaf naming customs differ from those in most Western societies, there are many similarities. There are also similarities with other societies outside the more…

  6. Speech Recognition

    Directory of Open Access Journals (Sweden)

    Adrian Morariu

    2009-01-01

    Full Text Available This paper presents a method of speech recognition by pattern recognition techniques. Learning consists in determining the unique characteristics of a word (cepstral coefficients by eliminating those characteristics that are different from one word to another. For learning and recognition, the system will build a dictionary of words by determining the characteristics of each word to be used in the recognition. Determining the characteristics of an audio signal consists in the following steps: noise removal, sampling it, applying Hamming window, switching to frequency domain through Fourier transform, calculating the magnitude spectrum, filtering data, determining cepstral coefficients.

  7. On the System of Person-Denoting Signs in Estonian Sign Language: Estonian Name Signs

    Science.gov (United States)

    Paales, Liina

    2010-01-01

    This article discusses Estonian personal name signs. According to study there are four personal name sign categories in Estonian Sign Language: (1) arbitrary name signs; (2) descriptive name signs; (3) initialized-descriptive name signs; (4) loan/borrowed name signs. Mostly there are represented descriptive and borrowed personal name signs among…

  8. The sharp edge: a frequent radiographic sign in neonatal pneumothorax

    International Nuclear Information System (INIS)

    Oestreich, A.E.

    1987-01-01

    The sharp edge sign, an unusually sharply defined silhouette of the heart and/or hemidiaphragm on frontal radiographs of the supine neonate, has been valuable in the initial recognition of pneumothorax. In a prospective study of 50 neonatal pneumothoraces, a sharp edge sign was present on the initial pneumothorax film 49 times. In seven of these, only the hemidiaphragm showed a sharp edge, while the heart margin was superimposed on the vertebral column. Greater awareness of the sharp edge sign would promote earlier recognition of neonatal pneumothorax. 6 refs.; 3 figs

  9. Page Recognition: Quantum Leap In Recognition Technology

    Science.gov (United States)

    Miller, Larry

    1989-07-01

    No milestone has proven as elusive as the always-approaching "year of the LAN," but the "year of the scanner" might claim the silver medal. Desktop scanners have been around almost as long as personal computers. And everyone thinks they are used for obvious desktop-publishing and business tasks like scanning business documents, magazine articles and other pages, and translating those words into files your computer understands. But, until now, the reality fell far short of the promise. Because it's true that scanners deliver an accurate image of the page to your computer, but the software to recognize this text has been woefully disappointing. Old optical-character recognition (OCR) software recognized such a limited range of pages as to be virtually useless to real users. (For example, one OCR vendor specified 12-point Courier font from an IBM Selectric typewriter: the same font in 10-point, or from a Diablo printer, was unrecognizable!) Computer dealers have told me the chasm between OCR expectations and reality is so broad and deep that nine out of ten prospects leave their stores in disgust when they learn the limitations. And this is a very important, very unfortunate gap. Because the promise of recognition -- what people want it to do -- carries with it tremendous improvements in our productivity and ability to get tons of written documents into our computers where we can do real work with it. The good news is that a revolutionary new development effort has led to the new technology of "page recognition," which actually does deliver the promise we've always wanted from OCR. I'm sure every reader appreciates the breakthrough represented by the laser printer and page-makeup software, a combination so powerful it created new reasons for buying a computer. A similar breakthrough is happening right now in page recognition: the Macintosh (and, I must admit, other personal computers) equipped with a moderately priced scanner and OmniPage software (from Caere

  10. Branched oligosaccharide structures on HBV prevent interaction with both DC-SIGN and L-SIGN

    NARCIS (Netherlands)

    Op den Brouw, M. L.; de Jong, M. A. W. P.; Ludwig, I. S.; van der Molen, R. G.; Janssen, H. L. A.; Geijtenbeek, T. B. H.; Woltman, A. M.

    2008-01-01

    Hepatitis B virus (HBV) is a DNA virus that infects the liver as primary target. Currently, a high affinity receptor for HBV is still unknown. The dendritic cell specific C-type lectin DC-SIGN is involved in pathogen recognition through mannose and fucose containing carbohydrates leading to the

  11. Science and Software

    Science.gov (United States)

    Zelt, C. A.

    2017-12-01

    Earth science attempts to understand how the earth works. This research often depends on software for modeling, processing, inverting or imaging. Freely sharing open-source software is essential to prevent reinventing the wheel and allows software to be improved and applied in ways the original author may never have envisioned. For young scientists, releasing software can increase their name ID when applying for jobs and funding, and create opportunities for collaborations when scientists who collect data want the software's creator to be involved in their project. However, we frequently hear scientists say software is a tool, it's not science. Creating software that implements a new or better way of earth modeling or geophysical processing, inverting or imaging should be viewed as earth science. Creating software for things like data visualization, format conversion, storage, or transmission, or programming to enhance computational performance, may be viewed as computer science. The former, ideally with an application to real data, can be published in earth science journals, the latter possibly in computer science journals. Citations in either case should accurately reflect the impact of the software on the community. Funding agencies need to support more software development and open-source releasing, and the community should give more high-profile awards for developing impactful open-source software. Funding support and community recognition for software development can have far reaching benefits when the software is used in foreseen and unforeseen ways, potentially for years after the original investment in the software development. For funding, an open-source release that is well documented should be required, with example input and output files. Appropriate funding will provide the incentive and time to release user-friendly software, and minimize the need for others to duplicate the effort. All funded software should be available through a single web site

  12. Software for radiation protection

    International Nuclear Information System (INIS)

    Graffunder, H.

    2002-01-01

    The software products presented are universally usable programs for radiation protection. The systems were designed in order to establish a comprehensive database specific to radiation protection and, on this basis, model in programs subjects of radiation protection. Development initially focused on the creation of the database. Each software product was to access the same nuclide-specific data; input errors and differences in spelling were to be excluded from the outset. This makes the products more compatible with each other and able to exchange data among each other. The software products are modular in design. Functions recurring in radiation protection are always treated the same way in different programs, and also represented the same way on the program surface. The recognition effect makes it easy for users to familiarize with the products quickly. All software products are written in German and are tailored to the administrative needs and codes and regulations in Germany and in Switzerland. (orig.) [de

  13. New radiation warning sign

    International Nuclear Information System (INIS)

    Mac Kenzie, C.; Mason, C.

    2006-01-01

    Full text: Radiation accidents involving orphan radioactive sources have happened as a result of people not recognizing the radiation trefoil symbol or from being illiterate and not understanding a warning statement on the radiation source. The trefoil symbol has no inherent meaning to people that have not been instructed in its use. A new radiation warning sign, to supplement the existing trefoil symbol, has been developed to address these issues. Human Factors experts, United Nations member states, and members of the international community of radiation protection professionals were consulted for input on the design of a new radiation warning sign that would clearly convey the message of 'Danger- Run Away- Stay Away' when in close proximity to a dangerous source of radiation. Cultural differences of perception on various warning symbols were taken into consideration and arrays of possible signs were developed. The signs were initially tested in international children for identification with the desired message and response. Based on these test results and further input from radiation protection professionals, five warning signs were identified as the most successful in conveying the desired message and response. These five signs were tested internationally in eleven countries by a professional survey company to determine the best sign for this purpose. The conclusion of the international testing is presented. The new radiation warning sign is currently a draft ISO standard under committee review. The design of the propose d radiation warning sign and the proposed implementation strategy outlined in the draft ISO standard is presented. (authors)

  14. Software engineering

    CERN Document Server

    Sommerville, Ian

    2010-01-01

    The ninth edition of Software Engineering presents a broad perspective of software engineering, focusing on the processes and techniques fundamental to the creation of reliable, software systems. Increased coverage of agile methods and software reuse, along with coverage of 'traditional' plan-driven software engineering, gives readers the most up-to-date view of the field currently available. Practical case studies, a full set of easy-to-access supplements, and extensive web resources make teaching the course easier than ever.

  15. Speech to Text Software Evaluation Report

    CERN Document Server

    Martins Santo, Ana Luisa

    2017-01-01

    This document compares out-of-box performance of three commercially available speech recognition software: Vocapia VoxSigma TM , Google Cloud Speech, and Lime- craft Transcriber. It is defined a set of evaluation criteria and test methods for speech recognition softwares. The evaluation of these softwares in noisy environments are also included for the testing purposes. Recognition accuracy was compared using noisy environments and languages. Testing in ”ideal” non-noisy environment of a quiet room has been also performed for comparison.

  16. Standardization of Sign Languages

    Science.gov (United States)

    Adam, Robert

    2015-01-01

    Over the years attempts have been made to standardize sign languages. This form of language planning has been tackled by a variety of agents, most notably teachers of Deaf students, social workers, government agencies, and occasionally groups of Deaf people themselves. Their efforts have most often involved the development of sign language books…

  17. [Information technology in learning sign language].

    Science.gov (United States)

    Hernández, Cesar; Pulido, Jose L; Arias, Jorge E

    2015-01-01

    To develop a technological tool that improves the initial learning of sign language in hearing impaired children. The development of this research was conducted in three phases: the lifting of requirements, design and development of the proposed device, and validation and evaluation device. Through the use of information technology and with the advice of special education professionals, we were able to develop an electronic device that facilitates the learning of sign language in deaf children. This is formed mainly by a graphic touch screen, a voice synthesizer, and a voice recognition system. Validation was performed with the deaf children in the Filadelfia School of the city of Bogotá. A learning methodology was established that improves learning times through a small, portable, lightweight, and educational technological prototype. Tests showed the effectiveness of this prototype, achieving a 32 % reduction in the initial learning time for sign language in deaf children.

  18. An Intelligent Computer-Based System for Sign Language Tutoring

    Science.gov (United States)

    Ritchings, Tim; Khadragi, Ahmed; Saeb, Magdy

    2012-01-01

    A computer-based system for sign language tutoring has been developed using a low-cost data glove and a software application that processes the movement signals for signs in real-time and uses Pattern Matching techniques to decide if a trainee has closely replicated a teacher's recorded movements. The data glove provides 17 movement signals from…

  19. Signs of political economy

    Directory of Open Access Journals (Sweden)

    Bernard Lamizet

    2015-12-01

    Full Text Available Like any political system, economy is a system of signs and representations. The Semiotics of economy elaborates its analytical methods to interpret such signs, which give meaning to the economy by representing its performances in public debate and in the media. Four major features distinguish the Semiotics of political economy from other semiotic forms or other systems of information and political representation. First of all, the relationship between the signification of the economy and the real or the imaginary phenomena to which they refer always pertains to the order of values. The second characteristic of economic signs is the significance of the state of lack they express. The third characteristic of signs of the economy is the form of sign production, which can be designated by the concept of emission of signs and their diffusion. Finally, as all signs, the economic sign is arbitrary. In the field of Economics, such arbitrariness does not imply that the Subject is free to superimpose whatever value to the signs themselves, but refers to the rupture between the world and its possible transformation. The very meaning of the word economy is here at stake. Oikos, in Greek (the term from which the word economy is derived refers to a known, familiar space. Economy transforms the real, natural world into a symbolic social world, into a world of relations with others whom we recognise and whose actions are relatively predictable. It might be useful to consider the contemporary issue of debt, its implications and its multiple meanings, which includes both the ethical and moral dimension of the condemnation of debt as well as the imaginary political dimension based on the expression of an idea of independence.

  20. SOFTWARE OPEN SOURCE, SOFTWARE GRATIS?

    Directory of Open Access Journals (Sweden)

    Nur Aini Rakhmawati

    2006-01-01

    Full Text Available Normal 0 false false false IN X-NONE X-NONE MicrosoftInternetExplorer4 Berlakunya Undang – undang Hak Atas Kekayaan Intelektual (HAKI, memunculkan suatu alternatif baru untuk menggunakan software open source. Penggunaan software open source menyebar seiring dengan isu global pada Information Communication Technology (ICT saat ini. Beberapa organisasi dan perusahaan mulai menjadikan software open source sebagai pertimbangan. Banyak konsep mengenai software open source ini. Mulai dari software yang gratis sampai software tidak berlisensi. Tidak sepenuhnya isu software open source benar, untuk itu perlu dikenalkan konsep software open source mulai dari sejarah, lisensi dan bagaimana cara memilih lisensi, serta pertimbangan dalam memilih software open source yang ada. Kata kunci :Lisensi, Open Source, HAKI

  1. Software Epistemology

    Science.gov (United States)

    2016-03-01

    in-vitro decision to incubate a startup, Lexumo [7], which is developing a commercial Software as a Service ( SaaS ) vulnerability assessment...LTS Label Transition System MUSE Mining and Understanding Software Enclaves RTEMS Real-Time Executive for Multi-processor Systems SaaS Software ...as a Service SSA Static Single Assignment SWE Software Epistemology UD/DU Def-Use/Use-Def Chains (Dataflow Graph)

  2. The sign learning theory

    African Journals Online (AJOL)

    KING OF DAWN

    The sign learning theory also holds secrets that could be exploited in accomplishing motor tasks. ... Introduction ... In his classic work: Cognitive Map in Rats and Men (1948),Tolman talked about five groups of experiments viz: latent learning ...

  3. Crocodile jaw sign

    Directory of Open Access Journals (Sweden)

    Brij Sharma

    2016-01-01

    Full Text Available This teaching image highlights the CT abdominal imaging finding of 'crocodile jaw sign' which should raise concern about the presence of an incomplete annular pancreas which causes partial encasement of the duodenum.

  4. Improvement of the performance of animal crossing warning signs.

    Science.gov (United States)

    Khalilikhah, Majid; Heaslip, Kevin

    2017-09-01

    Animal-vehicle collisions (AVCs) can result in serious injury and death to drivers, animals' death, and significant economic costs. However, the cost effectiveness of the majority of AVC mitigation measures is a significant issue. A mobile-based data collection effort was deployed to measure signs under the Utah Department of Transportation's (UDOT) jurisdiction. The crash data were obtained from the UDOT risk management database. ArcGIS was employed to link these two data sets and extract animal-related crashes and signs. An algorithm was developed to process the data and identify AVCs that occurred within sign recognition distance. Kernel density estimation (KDE) technique was applied to identify potential crash hotspots. Only 2% of AVCs occurred within the recognition distance of animal crossing signs. Almost 58% of animal-related crashes took place on the Interstate and U.S. highways, wherein only 30% of animal crossing signs were installed. State routes with a higher average number of signs experienced a lower number of AVCs per mile. The differences between AVCs that occurred within versus outside of sign recognition distance were not statistically significant regarding crash severity, time of crash, weather condition, driver age, vehicle speed, and type of animal. It is more likely that drivers become accustomed to deer crossing signs than cow signs. Based on the historical crash data and landscape structure, with attention given to the low cost safety improvement methods, a combination of different types of AVC mitigation measures can be developed to reduce the number of animal-related crashes. After an in-depth analysis of AVC data, warning traffic signs, coupled with other low cost mitigation countermeasures can be successfully placed in areas with higher priority or in critical areas. Practical applications: The findings of this study assist transportation agencies in developing more efficient mitigation measures against AVCs. Copyright © 2017 National

  5. Software reliability

    CERN Document Server

    Bendell, A

    1986-01-01

    Software Reliability reviews some fundamental issues of software reliability as well as the techniques, models, and metrics used to predict the reliability of software. Topics covered include fault avoidance, fault removal, and fault tolerance, along with statistical methods for the objective assessment of predictive accuracy. Development cost models and life-cycle cost models are also discussed. This book is divided into eight sections and begins with a chapter on adaptive modeling used to predict software reliability, followed by a discussion on failure rate in software reliability growth mo

  6. Computer software.

    Science.gov (United States)

    Rosenthal, L E

    1986-10-01

    Software is the component in a computer system that permits the hardware to perform the various functions that a computer system is capable of doing. The history of software and its development can be traced to the early nineteenth century. All computer systems are designed to utilize the "stored program concept" as first developed by Charles Babbage in the 1850s. The concept was lost until the mid-1940s, when modern computers made their appearance. Today, because of the complex and myriad tasks that a computer system can perform, there has been a differentiation of types of software. There is software designed to perform specific business applications. There is software that controls the overall operation of a computer system. And there is software that is designed to carry out specialized tasks. Regardless of types, software is the most critical component of any computer system. Without it, all one has is a collection of circuits, transistors, and silicone chips.

  7. Speaker Recognition

    DEFF Research Database (Denmark)

    Mølgaard, Lasse Lohilahti; Jørgensen, Kasper Winther

    2005-01-01

    Speaker recognition is basically divided into speaker identification and speaker verification. Verification is the task of automatically determining if a person really is the person he or she claims to be. This technology can be used as a biometric feature for verifying the identity of a person...

  8. Lexical access in sign language: a computational model.

    Science.gov (United States)

    Caselli, Naomi K; Cohen-Goldberg, Ariel M

    2014-01-01

    PSYCHOLINGUISTIC THEORIES HAVE PREDOMINANTLY BEEN BUILT UPON DATA FROM SPOKEN LANGUAGE, WHICH LEAVES OPEN THE QUESTION: How many of the conclusions truly reflect language-general principles as opposed to modality-specific ones? We take a step toward answering this question in the domain of lexical access in recognition by asking whether a single cognitive architecture might explain diverse behavioral patterns in signed and spoken language. Chen and Mirman (2012) presented a computational model of word processing that unified opposite effects of neighborhood density in speech production, perception, and written word recognition. Neighborhood density effects in sign language also vary depending on whether the neighbors share the same handshape or location. We present a spreading activation architecture that borrows the principles proposed by Chen and Mirman (2012), and show that if this architecture is elaborated to incorporate relatively minor facts about either (1) the time course of sign perception or (2) the frequency of sub-lexical units in sign languages, it produces data that match the experimental findings from sign languages. This work serves as a proof of concept that a single cognitive architecture could underlie both sign and word recognition.

  9. Lexical access in sign language: A computational model

    Directory of Open Access Journals (Sweden)

    Naomi Kenney Caselli

    2014-05-01

    Full Text Available Psycholinguistic theories have predominantly been built upon data from spoken language, which leaves open the question: How many of the conclusions truly reflect language-general principles as opposed to modality-specific ones? We take a step toward answering this question in the domain of lexical access in recognition by asking whether a single cognitive architecture might explain diverse behavioral patterns in signed and spoken language. Chen and Mirman (2012 presented a computational model of word processing that unified opposite effects of neighborhood density in speech production, perception, and written word recognition. Neighborhood density effects in sign language also vary depending on whether the neighbors share the same handshape or location. We present a spreading activation architecture that borrows the principles proposed by Chen and Mirman (2012, and show that if this architecture is elaborated to incorporate relatively minor facts about either 1 the time course of sign perception or 2 the frequency of sub-lexical units in sign languages, it produces data that match the experimental findings from sign languages. This work serves as a proof of concept that a single cognitive architecture could underlie both sign and word recognition.

  10. Adolf Kussmaul and Kussmaul's sign

    Directory of Open Access Journals (Sweden)

    Navreet Singh

    2015-01-01

    Full Text Available Kussmaul's has provided us with three important signs: Pulses paradoxus, Kussmaul's sign and Kussmaul Breathing. This article discusses Kussmaul's sign, its discovery, first description, pathophyiology and exceptions.

  11. Computational triadic algebras of signs

    Energy Technology Data Exchange (ETDEWEB)

    Zadrozny, W. [T.J. Watson Research Center, Yorktown Heights, NY (United States)

    1996-12-31

    We present a finite model of Peirce`s ten classes of signs. We briefly describe Peirce`s taxonomy of signs; we prove that any finite collection of signs can be extended to a finite algebra of signs in which all interpretants are themselves being interpreted; and we argue that Peirce`s ten classes of signs can be defined using constraints on algebras of signs. The paper opens the possibility of defining multimodal cognitive agents using Peirce`s classes of signs, and is a first step towards building a computational logic of signs based on Peirce`s taxonomies.

  12. Segmentation of British Sign Language (BSL): mind the gap!

    Science.gov (United States)

    Orfanidou, Eleni; McQueen, James M; Adam, Robert; Morgan, Gary

    2015-01-01

    This study asks how users of British Sign Language (BSL) recognize individual signs in connected sign sequences. We examined whether this is achieved through modality-specific or modality-general segmentation procedures. A modality-specific feature of signed languages is that, during continuous signing, there are salient transitions between sign locations. We used the sign-spotting task to ask if and how BSL signers use these transitions in segmentation. A total of 96 real BSL signs were preceded by nonsense signs which were produced in either the target location or another location (with a small or large transition). Half of the transitions were within the same major body area (e.g., head) and half were across body areas (e.g., chest to hand). Deaf adult BSL users (a group of natives and early learners, and a group of late learners) spotted target signs best when there was a minimal transition and worst when there was a large transition. When location changes were present, both groups performed better when transitions were to a different body area than when they were within the same area. These findings suggest that transitions do not provide explicit sign-boundary cues in a modality-specific fashion. Instead, we argue that smaller transitions help recognition in a modality-general way by limiting lexical search to signs within location neighbourhoods, and that transitions across body areas also aid segmentation in a modality-general way, by providing a phonotactic cue to a sign boundary. We propose that sign segmentation is based on modality-general procedures which are core language-processing mechanisms.

  13. Bilingual Word Recognition in Deaf and Hearing Signers: Effects of Proficiency and Language Dominance on Cross-Language Activation

    Science.gov (United States)

    Morford, Jill P.; Kroll, Judith F.; Piñar, Pilar; Wilkinson, Erin

    2014-01-01

    Recent evidence demonstrates that American Sign Language (ASL) signs are active during print word recognition in deaf bilinguals who are highly proficient in both ASL and English. In the present study, we investigate whether signs are active during print word recognition in two groups of unbalanced bilinguals: deaf ASL-dominant and hearing…

  14. Traffic sign classification with dataset augmentation and convolutional neural network

    Science.gov (United States)

    Tang, Qing; Kurnianggoro, Laksono; Jo, Kang-Hyun

    2018-04-01

    This paper presents a method for traffic sign classification using a convolutional neural network (CNN). In this method, firstly we transfer a color image into grayscale, and then normalize it in the range (-1,1) as the preprocessing step. To increase robustness of classification model, we apply a dataset augmentation algorithm and create new images to train the model. To avoid overfitting, we utilize a dropout module before the last fully connection layer. To assess the performance of the proposed method, the German traffic sign recognition benchmark (GTSRB) dataset is utilized. Experimental results show that the method is effective in classifying traffic signs.

  15. recognition and enforcement of foreign arbitral awards in civil

    African Journals Online (AJOL)

    eliasn

    (CPC), rules on the recognition and enforcement of foreign judgments ..... copy of the judgment to be executed; and a certificate signed by the President or ...... Convention has been praised as: “the single most important pillar on which the.

  16. Software Innovation

    DEFF Research Database (Denmark)

    Rose, Jeremy

      Innovation is the forgotten key to modern systems development - the element that defines the enterprising engineer, the thriving software firm and the cutting edge software application.  Traditional forms of technical education pay little attention to creativity - often encouraging overly...

  17. The Forbidden Signs

    DEFF Research Database (Denmark)

    Kilstrup, Mogens

    2016-01-01

    While the field of semiotics has been active since it was started by Peirce, it appears like the last decade has been especially productive with a number of important new concepts being developed within the biosemiotics community. The novel concept of the Semiotic scaffold by Hoffmeyer is an impo......While the field of semiotics has been active since it was started by Peirce, it appears like the last decade has been especially productive with a number of important new concepts being developed within the biosemiotics community. The novel concept of the Semiotic scaffold by Hoffmeyer...... is an important addition that offers insight into the hardware requirements for bio-semiosis. As any type of semiosis must be dependent upon Semiotic scaffolds, I recently argued that the process of semiosis has to be divided into two separate processes of sign establishment and sign interpretation....... I also show that biological semiosis offers examples of forbidden signs, where the faulty interpretation of signs may lead to decimation of whole evolutionary lines of organisms. A new concept of Evolutionary memory which is applicable to both human and biological semiosis is explained...

  18. Sign Language Web Pages

    Science.gov (United States)

    Fels, Deborah I.; Richards, Jan; Hardman, Jim; Lee, Daniel G.

    2006-01-01

    The World Wide Web has changed the way people interact. It has also become an important equalizer of information access for many social sectors. However, for many people, including some sign language users, Web accessing can be difficult. For some, it not only presents another barrier to overcome but has left them without cultural equality. The…

  19. Buffer Zone Sign Template

    Science.gov (United States)

    The certified pesticide applicator is required to post a comparable sign, designating a buffer zone around the soil fumigant application block in order to control exposure risk. It must include the don't walk symbol, product name, and applicator contact.

  20. Flemish Sign Language Standardisation

    Science.gov (United States)

    Van Herreweghe, Mieke; Vermeerbergen, Myriam

    2009-01-01

    In 1997, the Flemish Deaf community officially rejected standardisation of Flemish Sign Language. It was a bold choice, which at the time was not in line with some of the decisions taken in the neighbouring countries. In this article, we shall discuss the choices the Flemish Deaf community has made in this respect and explore why the Flemish Deaf…

  1. Software engineering

    CERN Document Server

    Sommerville, Ian

    2016-01-01

    For courses in computer science and software engineering The Fundamental Practice of Software Engineering Software Engineering introduces readers to the overwhelmingly important subject of software programming and development. In the past few years, computer systems have come to dominate not just our technological growth, but the foundations of our world's major industries. This text seeks to lay out the fundamental concepts of this huge and continually growing subject area in a clear and comprehensive manner. The Tenth Edition contains new information that highlights various technological updates of recent years, providing readers with highly relevant and current information. Sommerville's experience in system dependability and systems engineering guides the text through a traditional plan-based approach that incorporates some novel agile methods. The text strives to teach the innovators of tomorrow how to create software that will make our world a better, safer, and more advanced place to live.

  2. Software requirements

    CERN Document Server

    Wiegers, Karl E

    2003-01-01

    Without formal, verifiable software requirements-and an effective system for managing them-the programs that developers think they've agreed to build often will not be the same products their customers are expecting. In SOFTWARE REQUIREMENTS, Second Edition, requirements engineering authority Karl Wiegers amplifies the best practices presented in his original award-winning text?now a mainstay for anyone participating in the software development process. In this book, you'll discover effective techniques for managing the requirements engineering process all the way through the development cy

  3. Automated road marking recognition system

    Science.gov (United States)

    Ziyatdinov, R. R.; Shigabiev, R. R.; Talipov, D. N.

    2017-09-01

    Development of the automated road marking recognition systems in existing and future vehicles control systems is an urgent task. One way to implement such systems is the use of neural networks. To test the possibility of using neural network software has been developed with the use of a single-layer perceptron. The resulting system based on neural network has successfully coped with the task both when driving in the daytime and at night.

  4. Planetary Vital Signs

    Science.gov (United States)

    Kennel, Charles; Briggs, Stephen; Victor, David

    2016-07-01

    The climate is beginning to behave in unusual ways. The global temperature reached unprecedented highs in 2015 and 2016, which led climatologists to predict an enormous El Nino that would cure California's record drought. It did not happen the way they expected. That tells us just how unreliable temperature has become as an indicator of important aspects of climate change. The world needs to go beyond global temperature to a set of planetary vital signs. Politicians should not over focus policy on one indicator. They need to look at the balance of evidence. A coalition of scientists and policy makers should start to develop vital signs at once, since they should be ready at the entry into force of the Paris Agreement in 2020. But vital signs are only the beginning. The world needs to learn how to use the vast knowledge we will be acquiring about climate change and its impacts. Is it not time to use all the tools at hand- observations from space and ground networks; demographic, economic and societal measures; big data statistical techniques; and numerical models-to inform politicians, managers, and the public of the evolving risks of climate change at global, regional, and local scales? Should we not think in advance of an always-on social and information network that provides decision-ready knowledge to those who hold the responsibility to act, wherever they are, at times of their choosing?

  5. Software Reviews.

    Science.gov (United States)

    Dwyer, Donna; And Others

    1989-01-01

    Reviewed are seven software packages for Apple and IBM computers. Included are: "Toxicology"; "Science Corner: Space Probe"; "Alcohol and Pregnancy"; "Science Tool Kit Plus"; Computer Investigations: Plant Growth"; "Climatrolls"; and "Animal Watch: Whales." (CW)

  6. Software Reviews.

    Science.gov (United States)

    Davis, Shelly J., Ed.; Knaupp, Jon, Ed.

    1984-01-01

    Reviewed is computer software on: (1) classification of living things, a tutorial program for grades 5-10; and (2) polynomial practice using tiles, a drill-and-practice program for algebra students. (MNS)

  7. Software Reviews.

    Science.gov (United States)

    Miller, Anne, Ed.; Radziemski, Cathy, Ed.

    1988-01-01

    Three pieces of computer software are described and reviewed: HyperCard, to build and use varied applications; Iggy's Gnees, for problem solving with shapes in grades kindergarten-two; and Algebra Shop, for practicing skills and problem solving. (MNS)

  8. The Danish Sign Language Dictionary

    DEFF Research Database (Denmark)

    Kristoffersen, Jette Hedegaard; Troelsgård, Thomas

    2010-01-01

    The entries of the The Danish Sign Language Dictionary have four sections:  Entry header: In this section the sign headword is shown as a photo and a gloss. The first occurring location and handshape of the sign are shown as icons.  Video window: By default the base form of the sign headword...... forms of the sign (only for classifier entries). In addition to this, frequent co-occurrences with the sign are shown in this section. The signs in the The Danish Sign Language Dictionary can be looked up through:  Handshape: Particular handshapes for the active and the passive hand can be specified...... to find signs that are not themselves lemmas in the dictionary, but appear in example sentences.  Topic: Topics can be chosen as search criteria from a list of 70 topics....

  9. Sequencing of DC-SIGN promoter indicates an association between promoter variation and risk of nasopharyngeal carcinoma in cantonese

    Directory of Open Access Journals (Sweden)

    Liu Wen-Sheng

    2010-11-01

    Full Text Available Abstract Background The dendritic cell-specific intercellular adhesion molecule 3 grabbing non-integrin (DC-SIGN is an important pathogen recognition receptor of the innate immune system. DC-SIGN promoter variants play important role in the susceptibility to various infectious diseases. Nasopharyngeal carcinoma (NPC is a malignancy that is common in southern China and whether DC-SIGN promoter variants have effects on susceptibility to NPC is still unknown. The aim of this study is to ascertain the potential involvement of DC-SIGN promoter single nucleotide polymorphisms (SNPs in NPC susceptibility. Methods We conducted a case control study based on Cantonese population including 444 NPC patients and 464 controls matched on age and sex. The 1041 bp of DC-SIGN promoter region was directly sequenced for all samples. Sequence alignment and SNP search were inspected using DNAStar analysis programs and haplotype frequencies were estimated in Haploview V 4.0. The associations between the SNPs and the risk of NPC were analyzed using chi-square test and non-conditional logistic regression analysis with SPSS 13.0 software. Results A total of six variants were observed in the DC-SIGN promoter region and DC-SIGN -139 GG and -939 AA were significantly associated with NPC risk with adjusted Odds Ratios (ORs of 2.10 (95% confidence interval [CI] = 1.23-3.59; P = 0.006 and 2.52 (1.29-4.93; P = 0.007 respectively and subjects carrying the risk allele DC-SIGN -871 G had 1.47-fold (95% CI = 1.14-1.90 increased risks of developing NPC (P = 0.003. Haplotype analysis revealed that h1 'AAAG' was significantly associated with protection against NPC (OR = 0.69; P = 0.0002 and the association was still significant when using 1000 permutation test runs (P = 0.001. Conclusions Our study indicated that DC-SIGN promoter variants appear to be involved in the susceptibility to NPC and the detailed mechanism of this effect need further studies.

  10. Green's Theorem for Sign Data

    OpenAIRE

    Houston, Louis M.

    2012-01-01

    Sign data are the signs of signal added to noise. It is well known that a constant signal can be recovered from sign data. In this paper, we show that an integral over variant signal can be recovered from an integral over sign data based on the variant signal. We refer to this as a generalized sign data average. We use this result to derive a Green's theorem for sign data. Green's theorem is important to various seismic processing methods, including seismic migration. Results in this paper ge...

  11. Early Sign Language Exposure and Cochlear Implantation Benefits.

    Science.gov (United States)

    Geers, Ann E; Mitchell, Christine M; Warner-Czyz, Andrea; Wang, Nae-Yuh; Eisenberg, Laurie S

    2017-07-01

    Most children with hearing loss who receive cochlear implants (CI) learn spoken language, and parents must choose early on whether to use sign language to accompany speech at home. We address whether parents' use of sign language before and after CI positively influences auditory-only speech recognition, speech intelligibility, spoken language, and reading outcomes. Three groups of children with CIs from a nationwide database who differed in the duration of early sign language exposure provided in their homes were compared in their progress through elementary grades. The groups did not differ in demographic, auditory, or linguistic characteristics before implantation. Children without early sign language exposure achieved better speech recognition skills over the first 3 years postimplant and exhibited a statistically significant advantage in spoken language and reading near the end of elementary grades over children exposed to sign language. Over 70% of children without sign language exposure achieved age-appropriate spoken language compared with only 39% of those exposed for 3 or more years. Early speech perception predicted speech intelligibility in middle elementary grades. Children without sign language exposure produced speech that was more intelligible (mean = 70%) than those exposed to sign language (mean = 51%). This study provides the most compelling support yet available in CI literature for the benefits of spoken language input for promoting verbal development in children implanted by 3 years of age. Contrary to earlier published assertions, there was no advantage to parents' use of sign language either before or after CI. Copyright © 2017 by the American Academy of Pediatrics.

  12. Use of Splines in Handwritten Character Recognition

    OpenAIRE

    Sunil Kumar; Gopinath S,; Satish Kumar; Rajesh Chhikara

    2010-01-01

    Handwritten Character Recognition is software used to identify the handwritten characters and receive and interpret intelligible andwritten input from sources such as manuscript documents. The recent past several years has seen the development of many systems which are able to simulate the human brain actions. Among the many, the neural networks and the artificial intelligence are the most two important paradigms used. In this paper we propose a new algorithm for recognition of handwritten t...

  13. Activity Recognition for Personal Time Management

    Science.gov (United States)

    Prekopcsák, Zoltán; Soha, Sugárka; Henk, Tamás; Gáspár-Papanek, Csaba

    We describe an accelerometer based activity recognition system for mobile phones with a special focus on personal time management. We compare several data mining algorithms for the automatic recognition task in the case of single user and multiuser scenario, and improve accuracy with heuristics and advanced data mining methods. The results show that daily activities can be recognized with high accuracy and the integration with the RescueTime software can give good insights for personal time management.

  14. The halo sign and peripancreatic fluid: useful CT signs of hypovolaemic shock complex in adults

    International Nuclear Information System (INIS)

    Ryan, M.F.; Hamilton, P.A.; Sarrazin, J.; Chu, P.; Benjaminov, O.; Lam, K.

    2005-01-01

    AIM: To report two new, useful computed tomography (CT) signs of the hypovolaemic shock complex (HSC) in adults admitted after blunt abdominal trauma: the halo sign (ring of fluid around a collapsed intra-hepatic inferior vena cava (IVC)), and peripancreatic retroperitoneal fluid. MATERIALS AND METHODS: CT images of 498 consecutive patients admitted after blunt abdominal trauma were reviewed, of which 27 had CT signs of the HSC. The CT images of these 27 patients were analysed. A control group of 101 patients examined using CT for suspected blunt abdominal trauma who did not have the HSC were chosen for comparison. RESULTS: The most common features involved the vascular compartment: diminished IVC diameter (n=27), a positive halo sign (n=21); diminished anteroposterior diameter of the aorta (n=13); and abnormal vascular enhancement (n=10). Peripancreatic retroperitoneal fluid in the absence of pancreatic injury, pancreatitis or pancreatic disease was observed in eight patients. Hollow visceral abnormalities included: diffuse increased mucosal enhancement of both the small and large bowel (n=19); diffuse thickening of the small bowel wall (n=11); and small bowel dilatation (n=7). Solid visceral abnormalities included both decreased and or increased enhancement. Several concomitant intra- and extra-abdominal injuries were also identified. CONCLUSION: In the setting of blunt abdominal trauma, early abdominal CT can show diffuse abnormalities due to the HSC, which occasionally may alert clinicians of unsuspected shock. Recognition of these signs as distinguished from injured viscera is important in order to avoid unnecessary laparotomy. Two new signs are described: the halo sign and peripancreatic retroperitoneal fluid

  15. The halo sign and peripancreatic fluid: useful CT signs of hypovolaemic shock complex in adults

    Energy Technology Data Exchange (ETDEWEB)

    Ryan, M.F.; Hamilton, P.A.; Sarrazin, J.; Chu, P.; Benjaminov, O.; Lam, K

    2005-05-01

    AIM: To report two new, useful computed tomography (CT) signs of the hypovolaemic shock complex (HSC) in adults admitted after blunt abdominal trauma: the halo sign (ring of fluid around a collapsed intra-hepatic inferior vena cava (IVC)), and peripancreatic retroperitoneal fluid. MATERIALS AND METHODS: CT images of 498 consecutive patients admitted after blunt abdominal trauma were reviewed, of which 27 had CT signs of the HSC. The CT images of these 27 patients were analysed. A control group of 101 patients examined using CT for suspected blunt abdominal trauma who did not have the HSC were chosen for comparison. RESULTS: The most common features involved the vascular compartment: diminished IVC diameter (n=27), a positive halo sign (n=21); diminished anteroposterior diameter of the aorta (n=13); and abnormal vascular enhancement (n=10). Peripancreatic retroperitoneal fluid in the absence of pancreatic injury, pancreatitis or pancreatic disease was observed in eight patients. Hollow visceral abnormalities included: diffuse increased mucosal enhancement of both the small and large bowel (n=19); diffuse thickening of the small bowel wall (n=11); and small bowel dilatation (n=7). Solid visceral abnormalities included both decreased and or increased enhancement. Several concomitant intra- and extra-abdominal injuries were also identified. CONCLUSION: In the setting of blunt abdominal trauma, early abdominal CT can show diffuse abnormalities due to the HSC, which occasionally may alert clinicians of unsuspected shock. Recognition of these signs as distinguished from injured viscera is important in order to avoid unnecessary laparotomy. Two new signs are described: the halo sign and peripancreatic retroperitoneal fluid.

  16. Sign language typology: The contribution of rural sign languages

    NARCIS (Netherlands)

    de Vos, C.; Pfau, R.

    2015-01-01

    Since the 1990s, the field of sign language typology has shown that sign languages exhibit typological variation at all relevant levels of linguistic description. These initial typological comparisons were heavily skewed toward the urban sign languages of developed countries, mostly in the Western

  17. Sign Lowering and Phonetic Reduction in American Sign Language.

    Science.gov (United States)

    Tyrone, Martha E; Mauk, Claude E

    2010-04-01

    This study examines sign lowering as a form of phonetic reduction in American Sign Language. Phonetic reduction occurs in the course of normal language production, when instead of producing a carefully articulated form of a word, the language user produces a less clearly articulated form. When signs are produced in context by native signers, they often differ from the citation forms of signs. In some cases, phonetic reduction is manifested as a sign being produced at a lower location than in the citation form. Sign lowering has been documented previously, but this is the first study to examine it in phonetic detail. The data presented here are tokens of the sign WONDER, as produced by six native signers, in two phonetic contexts and at three signing rates, which were captured by optoelectronic motion capture. The results indicate that sign lowering occurred for all signers, according to the factors we manipulated. Sign production was affected by several phonetic factors that also influence speech production, namely, production rate, phonetic context, and position within an utterance. In addition, we have discovered interesting variations in sign production, which could underlie distinctions in signing style, analogous to accent or voice quality in speech.

  18. Refuting the lipstick sign.

    Science.gov (United States)

    Grassbaugh, Jason A; Bean, Betsey R; Greenhouse, Alyssa R; Yu, Henry H; Arrington, Edward D; Friedman, Richard J; Eichinger, Josef K

    2017-08-01

    Arthroscopic examination of the tendon has been described as the "gold standard" for diagnosis of tendinitis of the long head of the biceps (LHB). An arthroscopic finding of an inflamed and hyperemic LHB within the bicipital groove has been described as the "lipstick sign." Studies evaluating direct visualization in diagnosis of LHB tendinitis are lacking. During a 1-year period, 363 arthroscopic shoulder procedures were performed, with 16 and 39 patients prospectively selected as positive cases and negative controls, respectively. All positive controls had groove tenderness, positive Speed maneuver, and diagnostic ultrasound-guided bicipital injection. Negative controls had none of these findings. Six surgeons reviewed randomized deidentified arthroscopic pictures of enrolled patients The surgeons were asked whether the images demonstrated LHB tendinitis and if the lipstick sign was present. Overall sensitivity and specificity were 49% and 66%, respectively, for detecting LHB tendinitis and 64% and 31%, respectively, for erythema. The nonweighted κ score for interobserver reliability ranged from 0.042 to 0.419 (mean, 0.215 ± 0.116) for tendinitis and from 0.486 to 0.835 (mean, 0.680 ± 0.102) for erythema. The nonweighted κ score for intraobserver reliability ranged from 0.264 to 0.854 (mean, 0.615) for tendinitis and from 0.641 to 0.951 (mean, 0.783) for erythema. The presence of the lipstick sign performed only moderately well in a rigorously designed level III study to evaluate its sensitivity and specificity. There is only fair agreement among participating surgeons in diagnosing LHB tendinitis arthroscopically. Consequently, LHB tendinitis requiring tenodesis remains a clinical diagnosis that should be made before arthroscopic examination. Published by Elsevier Inc.

  19. Vision based Traffic Sign Detection and Analysis for Intelligent Driver Assistance Systems

    DEFF Research Database (Denmark)

    Møgelmose, Andreas; Trivedi, Mohan M.; Moeslund, Thomas B.

    2012-01-01

    In this paper, we provide a survey of the traffic sign detection literature, detailing detection systems for Traffic Sign Recognition (TSR) for driver assistance. We separately describe the contributions of recent works to the various stages inherent in traffic sign detection: segmentation, feature...... extraction, and final sign detection. While TSR is a well-established research area, we highlight open research issues in the literature, including a dearth of use of publicly-available image databases, and the over-representation of European traffic signs. Further, we discuss future directions for TSR...

  20. Software reengineering

    Science.gov (United States)

    Fridge, Ernest M., III

    1991-01-01

    Today's software systems generally use obsolete technology, are not integrated properly with other software systems, and are difficult and costly to maintain. The discipline of reverse engineering is becoming prominent as organizations try to move their systems up to more modern and maintainable technology in a cost effective manner. JSC created a significant set of tools to develop and maintain FORTRAN and C code during development of the Space Shuttle. This tool set forms the basis for an integrated environment to re-engineer existing code into modern software engineering structures which are then easier and less costly to maintain and which allow a fairly straightforward translation into other target languages. The environment will support these structures and practices even in areas where the language definition and compilers do not enforce good software engineering. The knowledge and data captured using the reverse engineering tools is passed to standard forward engineering tools to redesign or perform major upgrades to software systems in a much more cost effective manner than using older technologies. A beta vision of the environment was released in Mar. 1991. The commercial potential for such re-engineering tools is very great. CASE TRENDS magazine reported it to be the primary concern of over four hundred of the top MIS executives.

  1. Signs in Place

    DEFF Research Database (Denmark)

    Hamid, Salmiah Binti Abdul; Jensen, Ole B.; Silva, Victor

    Travelling in unfamiliar areas is usually very interesting, however it can also be stressful. People travel or move around in an urban space according to their needs, and the environment can also influence the way people move about from one place to another. If a person gets lost, a map or GPS can...... and geosemiotic studies with regards to the road traffic signs used in urban spaces. The paper ends with a discussion on how people choreograph their movement in their everyday life from two different perspectives: above vs. below....

  2. Signs In Place

    DEFF Research Database (Denmark)

    Hamid, Salmiah Binti Abdul; Jensen, Ole B.; Silva, Victor

    2012-01-01

    Travelling in unfamiliar areas is usually very interesting; however, it can also be stressful. People travel or move around in an urban space according to their needs, and the environment can influence the way people move about from one place to another. If a person gets lost, a map or GPS can...... and geosemiotic studies with regards to the road traffic signs used in urban spaces. The paper ends with a discussion on how people choreograph their movement in their everyday life from two different perspectives: above vs. below...

  3. Designing radiation protection signs

    International Nuclear Information System (INIS)

    Rodriguez, M.A.; Richey, C.L.

    1995-01-01

    Entry into hazardous areas without the proper protective equipment is extremely dangerous and must be prevented whenever possible. Current postings of radiological hazards at the Rocky Flats Environmental Technology Site (RFETS) do not incorporate recent findings concerning effective warning presentation. Warning information should be highly visible, quickly, and easily understood. While continuing to comply with industry standards (e.g., Department of Energy (DOE) guidelines), these findings can be incorporated into existing radiological sign design, making them more effective in terms of usability and compliance. Suggestions are provided for designing more effective postings within stated guidelines

  4. Software Authentication

    International Nuclear Information System (INIS)

    Wolford, J.K.; Geelhood, B.D.; Hamilton, V.A.; Ingraham, J.; MacArthur, D.W.; Mitchell, D.J.; Mullens, J.A.; Vanier, P. E.; White, G.K.; Whiteson, R.

    2001-01-01

    The effort to define guidance for authentication of software for arms control and nuclear material transparency measurements draws on a variety of disciplines and has involved synthesizing established criteria and practices with newer methods. Challenges include the need to protect classified information that the software manipulates as well as deal with the rapid pace of innovation in the technology of nuclear material monitoring. The resulting guidance will shape the design of future systems and inform the process of authentication of instruments now being developed. This paper explores the technical issues underlying the guidance and presents its major tenets

  5. Software engineering

    CERN Document Server

    Thorin, Marc

    1985-01-01

    Software Engineering describes the conceptual bases as well as the main methods and rules on computer programming. This book presents software engineering as a coherent and logically built synthesis and makes it possible to properly carry out an application of small or medium difficulty that can later be developed and adapted to more complex cases. This text is comprised of six chapters and begins by introducing the reader to the fundamental notions of entities, actions, and programming. The next two chapters elaborate on the concepts of information and consistency domains and show that a proc

  6. INFINITY construction contract signed

    Science.gov (United States)

    2010-01-01

    Key state and community leaders celebrated April 6 with the signing of a construction contract for the state-of-the-art INFINITY Science Center planned near John C. Stennis Space Center in south Mississippi. Gulfport Mayor George Schloegel (l to r), chair of non-profit INFINITY Science Center Inc., was joined for the signing ceremony at the Hancock Bank in Gulfport by Virginia Wagner, sister of late Hancock Bank President Leo Seal Jr.; and Roy Anderson III, president and CEO of Roy Anderson Corp. Seal was the first chair of INFINITY Science Center Inc., which has led in development of the project. Roy Anderson Corp. plans to begin construction on the 72,000-square-foot, $28 million science and education center in May. The Mississippi Department of Transportation (MDOT) also is set to begin construction of a $2 million access road to the new center. The April 6 ceremony was attended by numerous officials, including former Stennis Space Center Directors Jerry Hlass and Roy Estess; Mississippi Senate President Pro Tempore Billy Hewes, R-Gulfport; Mississippi Rep. Diane Peranich, D-Pass Christian; and MDOT Southern District Commissioner Wayne Brown.

  7. Psoas sign: a reevaluation

    International Nuclear Information System (INIS)

    Kye, Jong Sik; Lim, Jae Hoon; Yoon, Yup; Ahn, Chi Yul

    1987-01-01

    In general, the psoas sign has been known to be a reliabler index of presence of a retroperitoneal pathology. However, obliterated psoas margin may be caused by various other conditions in so far as the amount of fat around the psoas muscle is not enough to be visualized. On the other hand, retroperitoneal pathology does not always obliterates the psoas margin. Authors analyzed obliterated psoas margins in 72 patients by comparing simple radiographs and computed tomography, and attempted to explain the mechanism of obliterated psoas margin, on simple radiograph. The results are as follows : 1. The psoas margin is obliterated by the retroperitoneal pathology and various other conditions such as kidney-psoas contract, scanty extraperitoneal fat, scoliosis, bowel interposition and angled psoas muscle. 2. The psoas margin is preserved as far as the perinephric fat is intact and X-ray beam strikes the lateral margin of the psoas muscle tangentially. 3. The psoas sign is considered not to be a reliable index of a retroperitoneal pathology

  8. Robotic Software Integration Using MARIE

    Directory of Open Access Journals (Sweden)

    Carle Côté

    2006-03-01

    Full Text Available This paper presents MARIE, a middleware framework oriented towards developing and integrating new and existing software for robotic systems. By using a generic communication framework, MARIE aims to create a flexible distributed component system that allows robotics developers to share software programs and algorithms, and design prototypes rapidly based on their own integration needs. The use of MARIE is illustrated with the design of a socially interactive autonomous mobile robot platform capable of map building, localization, navigation, tasks scheduling, sound source localization, tracking and separation, speech recognition and generation, visual tracking, message reading and graphical interaction using a touch screen interface.

  9. Sign language: an international handbook

    NARCIS (Netherlands)

    Pfau, R.; Steinbach, M.; Woll, B.

    2012-01-01

    Sign language linguists show here that all the questions relevant to the linguistic investigation of spoken languages can be asked about sign languages. Conversely, questions that sign language linguists consider - even if spoken language researchers have not asked them yet - should also be asked of

  10. Kinship in Mongolian Sign Language

    Science.gov (United States)

    Geer, Leah

    2011-01-01

    Information and research on Mongolian Sign Language is scant. To date, only one dictionary is available in the United States (Badnaa and Boll 1995), and even that dictionary presents only a subset of the signs employed in Mongolia. The present study describes the kinship system used in Mongolian Sign Language (MSL) based on data elicited from…

  11. Pattern Recognition

    Directory of Open Access Journals (Sweden)

    Aleš Procházka

    2018-05-01

    Full Text Available Multimodal signal analysis based on sophisticated sensors, efficient communicationsystems and fast parallel processing methods has a rapidly increasing range of multidisciplinaryapplications. The present paper is devoted to pattern recognition, machine learning, and the analysisof sleep stages in the detection of sleep disorders using polysomnography (PSG data, includingelectroencephalography (EEG, breathing (Flow, and electro-oculogram (EOG signals. The proposedmethod is based on the classification of selected features by a neural network system with sigmoidaland softmax transfer functions using Bayesian methods for the evaluation of the probabilities of theseparate classes. The application is devoted to the analysis of the sleep stages of 184 individualswith different diagnoses, using EEG and further PSG signals. Data analysis points to an averageincrease of the length of the Wake stage by 2.7% per 10 years and a decrease of the length of theRapid Eye Movement (REM stages by 0.8% per 10 years. The mean classification accuracy for givensets of records and single EEG and multimodal features is 88.7% ( standard deviation, STD: 2.1 and89.6% (STD:1.9, respectively. The proposed methods enable the use of adaptive learning processesfor the detection and classification of health disorders based on prior specialist experience andman–machine interaction.

  12. Reviews, Software.

    Science.gov (United States)

    Science Teacher, 1988

    1988-01-01

    Reviews two computer software packages for use in physical science, physics, and chemistry classes. Includes "Physics of Model Rocketry" for Apple II, and "Black Box" for Apple II and IBM compatible computers. "Black Box" is designed to help students understand the concept of indirect evidence. (CW)

  13. Software Reviews.

    Science.gov (United States)

    Kinnaman, Daniel E.; And Others

    1988-01-01

    Reviews four educational software packages for Apple, IBM, and Tandy computers. Includes "How the West was One + Three x Four,""Mavis Beacon Teaches Typing,""Math and Me," and "Write On." Reviews list hardware requirements, emphasis, levels, publisher, purchase agreements, and price. Discusses the strengths…

  14. Software Review.

    Science.gov (United States)

    McGrath, Diane, Ed.

    1989-01-01

    Reviewed is a computer software package entitled "Audubon Wildlife Adventures: Grizzly Bears" for Apple II and IBM microcomputers. Included are availability, hardware requirements, cost, and a description of the program. The murder-mystery flavor of the program is stressed in this program that focuses on illegal hunting and game…

  15. Software Reviews.

    Science.gov (United States)

    Teles, Elizabeth, Ed.; And Others

    1990-01-01

    Reviewed are two computer software packages for Macintosh microcomputers including "Phase Portraits," an exploratory graphics tool for studying first-order planar systems; and "MacMath," a set of programs for exploring differential equations, linear algebra, and other mathematical topics. Features, ease of use, cost, availability, and hardware…

  16. MIAWARE Software

    DEFF Research Database (Denmark)

    Wilkowski, Bartlomiej; Pereira, Oscar N. M.; Dias, Paulo

    2008-01-01

    is automatically generated. Furthermore, MIAWARE software is accompanied with an intelligent search engine for medical reports, based on the relations between parts of the lungs. A logical structure of the lungs is introduced to the search algorithm through the specially developed ontology. As a result...

  17. Cutaneous signs of piety.

    Science.gov (United States)

    Ramesh, V; Al Aboud, Khalid

    2014-07-01

    It is important for dermatologists to be aware of cutaneous changes related to religious practices to help in their recognition and management. The anatomic location of cutaneous lesions associated with friction from praying varies based on religious practice. Allergic contact dermatitis from products and substances commonly used in worshipping also vary by religion. Some religious practices may render individuals prone to infections that manifest on the skin. Tattoos of godly figures also may adorn the body. Religious practices also have been implicated in cases of urticaria, köbnerization, and leukoderma. This article reviews the clinical presentation of some of the most common cutaneous changes that occur in individuals who practice the following religions: Christianity, Islam, Judaism, Hinduism, and Sikhism.

  18. Speech pattern recognition for forensic acoustic purposes

    OpenAIRE

    Herrera Martínez, Marcelo; Aldana Blanco, Andrea Lorena; Guzmán Palacios, Ana María

    2014-01-01

    The present paper describes the development of a software for analysis of acoustic voice parameters (APAVOIX), which can be used for forensic acoustic purposes, based on the speaker recognition and identification. This software enables to observe in a clear manner, the parameters which are sufficient and necessary when performing a comparison between two voice signals, the suspicious and the original one. These parameters are used according to the classic method, generally used by state entit...

  19. Signs in neuroradiology - part 1

    Energy Technology Data Exchange (ETDEWEB)

    Goncalves, Fabricio Guimaraes, E-mail: goncalves.neuroradio@gmail.co [McGill University Health Centre (MUHC), Montreal, Quebec (Canada). Montreal General Hospital; Barra, Filipe Ramos; Jovem, Cassio Lemos [Hospital Universitario de Brasilia, DF (Brazil). Dept. of Radiology and Imaging Diagnosis; Matos, Valter de Lima [Hospital Santa Luzia, Brasilia, DF (Brazil); Amaral, Lazaro Luis Faria do [MedImagem - Hospital da Beneficencia Portuguesa de Sao Paulo, SP (Brazil). Dept. of Neuroradiology; Carpio-O' Donovan, Raquel del [McGill University Health Centre (MUHC), Montreal, Quebec (Canada)

    2011-03-15

    The use of signs or analogies for interpretation and description of medical images is an old and common practice among radiologists. Comparison of findings with animals, food or objects is not unprecedented and routinely performed. Many signs are quite specific and, in some cases, pathognomonic. Indeed, notwithstanding their degree of specificity, signs may help in the characterization of certain diseases. Several neuroradiological signs have been already described. The authors will present 15 neuroradiology signs in the present essay, approaching their main characteristics, the significance of their role in the clinical practice, as well as their respective imaging findings. (author)

  20. Signs in neuroradiology - part 1

    International Nuclear Information System (INIS)

    Goncalves, Fabricio Guimaraes; Amaral, Lazaro Luis Faria do

    2011-01-01

    The use of signs or analogies for interpretation and description of medical images is an old and common practice among radiologists. Comparison of findings with animals, food or objects is not unprecedented and routinely performed. Many signs are quite specific and, in some cases, pathognomonic. Indeed, notwithstanding their degree of specificity, signs may help in the characterization of certain diseases. Several neuroradiological signs have been already described. The authors will present 15 neuroradiology signs in the present essay, approaching their main characteristics, the significance of their role in the clinical practice, as well as their respective imaging findings. (author)

  1. The bony crescent sign - a new sign of facial nerve schwannoma

    International Nuclear Information System (INIS)

    Watts, A.; Fagan, P.

    1992-01-01

    Schwannomas are relatively uncommon intracranial tumours. They most commonly involve the acoustic nerve followed in frequency by the trigeminal nerve. Other cranial nerves are rarely involved. Facial nerve schwannomas occurring within the petrous temporal bone are very rare. Their diagnosis may be missed prospectively even when appropriate computerized tomography (CT) scans are performed. Even in retrospect the site of abnormality may be difficult to identify, especially if there is an associated middle ear mass such as a cholesteatoma. In the 4 cases presented the facial nerve schwannoma was seen on high resolution CT as a soft tissue mass bounded anteriorly by a thin rim of bone. This bony crescent sign is a previously undescribed feature of facial nerve schwannoma which appears to be strongly indicative of the presence of this tumour. Recognition of this sign makes these tumours arising in the region of the geniculate ganglion easy to diagnose prospectively. 12 refs., 6 figs

  2. Signing Earth Science: Accommodations for Students Who Are Deaf or Hard of Hearing and Whose First Language Is Sign

    Science.gov (United States)

    Vesel, J.; Hurdich, J.

    2014-12-01

    TERC and Vcom3D used the SigningAvatar® accessibility software to research and develop a Signing Earth Science Dictionary (SESD) of approximately 750 standards-based Earth science terms for high school students who are deaf and hard of hearing and whose first language is sign. The partners also evaluated the extent to which use of the SESD furthers understanding of Earth science content, command of the language of Earth science, and the ability to study Earth science independently. Disseminated as a Web-based version and App, the SESD is intended to serve the ~36,000 grade 9-12 students who are deaf or hard of hearing and whose first language is sign, the majority of whom leave high school reading at the fifth grade or below. It is also intended for teachers and interpreters who interact with members of this population and professionals working with Earth science education programs during field trips, internships etc. The signed SESD terms have been incorporated into a Mobile Communication App (MCA). This App for Androids is intended to facilitate communication between English speakers and persons who communicate in American Sign Language (ASL) or Signed English. It can translate words, phrases, or whole sentences from written or spoken English to animated signing. It can also fingerspell proper names and other words for which there are no signs. For our presentation, we will demonstrate the interactive features of the SigningAvatar® accessibility software that support the three principles of Universal Design for Learning (UDL) and have been incorporated into the SESD and MCA. Results from national field-tests will provide insight into the SESD's and MCA's potential applicability beyond grade 12 as accommodations that can be used for accessing the vocabulary deaf and hard of hearing students need for study of the geosciences and for facilitating communication about content. This work was funded in part by grants from NSF and the U.S. Department of Education.

  3. Translating Signs, Producing Subjects

    Directory of Open Access Journals (Sweden)

    Brett Neilson

    2009-08-01

    Full Text Available This paper moves between two streets: Liverpool Road in the Sydney suburb of Ashfield and Via Sarpi in the Italian city of Milan. What connects these streets is that both have become important sites for businesses in the Chinese diaspora. Moreover, both are streets on which locals have expressed desires for Chinese signs to be translated into the national lingua franca. The paper argues that the cultural politics inherent in this demand for translation cannot be fully understood in the context of national debates about diversity and integration. It is also necessary to consider the emergence of the official Chinese Putonghua as global language, which competes with English but also colonizes dialects and minority languages. In the case of these dual language signs, the space between languages can neither be reduced to a contact zone of minority and majority cultures nor celebrated as a ‘third space’ where the power relations implied by such differences are subverted. At stake is rather a space characterised by what Naoki Sakai calls the schema of co-figuration, which allows the representation of translation as the passage between two equivalents that resemble each other and thus makes possible their determination as conceptually different and comparable. Drawing on arguments about translation and citizenship, the paper critically interrogates the ethos of interchangeability implied by this regime of translation. A closing argument is made for a vision of the common that implies neither civilisational harmony nor the translation of all values into a general equivalent. Primary sources include government reports, internet texts and media stories. These are analyzed using techniques of discourse analysis and interpreted with the help of secondary literature concerning globalisation, language and migration. The disciplinary matrix cuts and mixes between cultural studies, translation studies, citizenship studies, globalization studies and

  4. Negation switching invariant signed graphs

    Directory of Open Access Journals (Sweden)

    Deepa Sinha

    2014-04-01

    Full Text Available A signed graph (or, $sigraph$ in short is a graph G in which each edge x carries a value $\\sigma(x \\in \\{-, +\\}$ called its sign. Given a sigraph S, the negation $\\eta(S$ of the sigraph S is a sigraph obtained from S by reversing the sign of every edge of S. Two sigraphs $S_{1}$ and $S_{2}$ on the same underlying graph are switching equivalent if it is possible to assign signs `+' (`plus' or `-' (`minus' to vertices of $S_{1}$ such that by reversing the sign of each of its edges that has received opposite signs at its ends, one obtains $S_{2}$. In this paper, we characterize sigraphs which are negation switching invariant and also see for what sigraphs, S and $\\eta (S$ are signed isomorphic.

  5. V2S: Voice to Sign Language Translation System for Malaysian Deaf People

    Science.gov (United States)

    Mean Foong, Oi; Low, Tang Jung; La, Wai Wan

    The process of learning and understand the sign language may be cumbersome to some, and therefore, this paper proposes a solution to this problem by providing a voice (English Language) to sign language translation system using Speech and Image processing technique. Speech processing which includes Speech Recognition is the study of recognizing the words being spoken, regardless of whom the speaker is. This project uses template-based recognition as the main approach in which the V2S system first needs to be trained with speech pattern based on some generic spectral parameter set. These spectral parameter set will then be stored as template in a database. The system will perform the recognition process through matching the parameter set of the input speech with the stored templates to finally display the sign language in video format. Empirical results show that the system has 80.3% recognition rate.

  6. Voice Recognition Interface in the Rehabilitation of Combat Amputees

    National Research Council Canada - National Science Library

    Lenhart, Martha; Yancosek, Kathleen E

    2004-01-01

    The goal of this pilot study is to assess the impact of training on voice recognition software as part of the rehabilitation process that Military patients with amputation, or peripheral nerve loss...

  7. Software Tools for Software Maintenance

    Science.gov (United States)

    1988-10-01

    COMMUNICATIONS, AND COMPUTER SCIENCES I ,(AIRMICS) FO~SOFTWARE TOOLS (.o FOR SOF1 ’ARE MAINTENANCE (ASQBG-1-89-001) October, 1988 DTIC ELECTE -ifB...SUNWW~. B..c Program An~Iysw HA.c C-Tractr C Cobol Stncturing Facility VS Cobol 11 F-Scan Foctma Futbol Cobol Fortran Sltiuc Code Anaiyaer Fortran IS

  8. Sign language comprehension: the case of Spanish sign language.

    Science.gov (United States)

    Rodríguez Ortiz, I R

    2008-01-01

    This study aims to answer the question, how much of Spanish Sign Language interpreting deaf individuals really understand. Study sampling included 36 deaf people (deafness ranging from severe to profound; variety depending on the age at which they learned sign language) and 36 hearing people who had good knowledge of sign language (most were interpreters). Sign language comprehension was assessed using passages of secondary level. After being exposed to the passages, the participants had to tell what they had understood about them, answer a set of related questions, and offer a title for the passage. Sign language comprehension by deaf participants was quite acceptable but not as good as that by hearing signers who, unlike deaf participants, were not only late learners of sign language as a second language but had also learned it through formal training.

  9. Ergonomics and design: traffic sign and street name sign.

    Science.gov (United States)

    Moroni, Janaina Luisa da Silva; Aymone, José Luís Farinatti

    2012-01-01

    This work proposes a design methodology using ergonomics and anthropometry concepts applied to traffic sign and street name sign projects. Initially, a literature revision on cognitive ergonomics and anthropometry is performed. Several authors and their design methodologies are analyzed and the aspects to be considered in projects of traffic and street name signs are selected and other specific aspects are proposed for the design methodology. A case study of the signs of "Street of Antiques" in Porto Alegre city is presented. To do that, interviews with the population are made to evaluate the current situation of signs. After that, a new sign proposal with virtual prototyping is done using the developed methodology. The results obtained with new interviews about the proposal show the user satisfaction and the importance of cognitive ergonomics to development of this type of urban furniture.

  10. EPIQR software

    Energy Technology Data Exchange (ETDEWEB)

    Flourentzos, F. [Federal Institute of Technology, Lausanne (Switzerland); Droutsa, K. [National Observatory of Athens, Athens (Greece); Wittchen, K.B. [Danish Building Research Institute, Hoersholm (Denmark)

    1999-11-01

    The support of the EPIQR method is a multimedia computer program. Several modules help the users of the method to treat the data collected during a diagnosis survey, to set up refurbishment scenario and calculate their cost or energy performance, and finally to visualize the results in a comprehensive way and to prepare quality reports. This article presents the structure and the main features of the software. (au)

  11. Peruvian mothers' knowledge and recognition of pneumonia in children under 5 years of age

    Directory of Open Access Journals (Sweden)

    Cesar Augusto Gálvez

    2002-02-01

    Full Text Available Objective. To assess Peruvian mothers' knowledge and recognition of pneumonia in children under 5 years of age, the mothers' attitude toward seeking medical help if they had a child with signs of pneumonia, and their perception of a Government of Peru pneumonia campaign. Methods. In this cross-sectional study, 501 mothers were selected randomly from 20 low-income communities of the metropolitan area of Lima, Peru, and were interviewed between June and August 2000. Using SPSS software, descriptive statistics were applied to summarize the demographic data and the data regarding the mothers' knowledge of pneumonia and recognition of signs of the disease. Cross-tabulations and chi-squares were done to assess relationships between variables and to make comparisons. Results. About 84% of the mothers said that they knew what pneumonia is. Most believed that pneumonia is dangerous. A majority (58.7% indicated that pneumonia is caused by lack of parental care. Only 28.9% believed that a virus causes the disease. More than 80% correctly picked rapid breathing and/or chest retraction from a list of possible signs and symptoms of pneumonia, and 94.6% said they were ready to take their child to the closest health center if they thought their child had pneumonia. Although 57.1% said they had heard about the Government of Peru pneumonia campaign, 69.3% of these mothers said they could not recall the motto of the campaign. Mothers who reported having heard of the campaign through TV were more likely than other mothers to correctly recognize the two major signs of pneumonia presented in the campaign. Conclusions. Although the percentage of mothers believing they can recognize pneumonia through rapid breathing and chest retraction seems to have increased in recent years, there is still a sizable percentage of mothers who remain uninformed about pneumonia and its possible fatal consequences. Efforts need to continue to educate Peruvian mothers about the causes

  12. Software preservation

    Directory of Open Access Journals (Sweden)

    Tadej Vodopivec

    2011-01-01

    Full Text Available Comtrade Ltd. covers a wide range of activities related to information and communication technologies; its deliverables include web applications, locally installed programs,system software, drivers, embedded software (used e.g. in medical devices, auto parts,communication switchboards. Also the extensive knowledge and practical experience about digital long-term preservation technologies have been acquired. This wide spectrum of activities puts us in the position to discuss the often overlooked aspect of the digital preservation - preservation of software programs. There are many resources dedicated to digital preservation of digital data, documents and multimedia records,but not so many about how to preserve the functionalities and features of computer programs. Exactly these functionalities - dynamic response to inputs - render the computer programs rich compared to documents or linear multimedia. The article opens the questions on the beginning of the way to the permanent digital preservation. The purpose is to find a way in the right direction, where all relevant aspects will be covered in proper balance. The following questions are asked: why at all to preserve computer programs permanently, who should do this and for whom, when we should think about permanent program preservation, what should be persevered (such as source code, screenshots, documentation, and social context of the program - e.g. media response to it ..., where and how? To illustrate the theoretic concepts given the idea of virtual national museum of electronic banking is also presented.

  13. Does Courvoisier's sign stand the test of time?

    LENUS (Irish Health Repository)

    Murphy, K

    2012-11-01

    To investigate the validity of Courvoisier\\'s sign, in the age of cross-sectional imaging and image analysis software by objectively measuring gallbladder volumes at magnetic resonance cholangiopancreatography (MRCP) in patients with and without biliary obstruction and to assess whether gallbladder volume is more significantly increased in patients with gallstone-related rather than non-gallstone-related biliary obstruction.

  14. LSE-Sign: A lexical database for Spanish Sign Language.

    Science.gov (United States)

    Gutierrez-Sigut, Eva; Costello, Brendan; Baus, Cristina; Carreiras, Manuel

    2016-03-01

    The LSE-Sign database is a free online tool for selecting Spanish Sign Language stimulus materials to be used in experiments. It contains 2,400 individual signs taken from a recent standardized LSE dictionary, and a further 2,700 related nonsigns. Each entry is coded for a wide range of grammatical, phonological, and articulatory information, including handshape, location, movement, and non-manual elements. The database is accessible via a graphically based search facility which is highly flexible both in terms of the search options available and the way the results are displayed. LSE-Sign is available at the following website: http://www.bcbl.eu/databases/lse/.

  15. Hutchinson’s Sign

    Directory of Open Access Journals (Sweden)

    Lawrence Lau

    2018-01-01

    Full Text Available History of present illness: A 30-year-old African American male presents with two days of gradually worsening vesicular pruritic rash over the left naris, left upper lip, and inferior to medial epicanthus, initially noted just on the upper lip the night before. By the next day it had spread to the nose and cheek. Patient denies any fever, pain, discharge from the rash, ear or nose, or changes in vision. He denies exposure to any new hygiene products, household cleaning products, recent outdoor activities, travel, or insect bites. Past medical history significant for a childhood varicella infection. Patient works for a moving company, and had an episode of heat exhaustion at work one week prior to onset. Denies alcohol or drug abuse. Significant findings: The unilateral distribution of vesicular lesions over the patient’s left naris, cheek, and upper lip are consistent with Herpes zoster reactivation with Hutchinson’s sign. Hutchinson’s sign is a herpes zoster vesicle present on the tip or side of the nose.1 It reflects zoster involvement of the 1st branch of the trigeminal nerve, and is concerning for herpes zoster ophthalmicus.1 Herpes zoster vesicles may present as papular lesions or macular vesicles on an erythematous base.2,3 Emergent diagnosis must be made to prevent long-term visual sequelae.4 Discussion: The history of a childhood viral exanthem, specifically a past varicella infection, helps direct the diagnosis.2 Herpes zoster ophthalmicus is an ophthalmological emergency and results from viral reactivation within the V1 branch of CN V, leading to direct ocular involvement.1 Symptoms of ocular involvement include red eye, blurry vision, eye pain or photophobia.1 If left untreated, corneal ulceration, scarring, perforation, glaucoma, cataracts, and blindness may occur.1 Fluorescein staining with slit lamp examination will show a characteristic “dendritic ulcer” within the epithelial layer of the cornea.1 Treatment is generally

  16. Features Speech Signature Image Recognition on Mobile Devices

    Directory of Open Access Journals (Sweden)

    Alexander Mikhailovich Alyushin

    2015-12-01

    Full Text Available The algorithms fordynamic spectrograms images recognition, processing and soundspeech signature (SS weredeveloped. The software for mobile phones, thatcan recognize speech signatureswas prepared. The investigation of the SS recognition speed on its boundarytypes was conducted. Recommendations on the boundary types choice in the optimal ratio of recognitionspeed and required space were given.

  17. Establishing software quality assurance

    International Nuclear Information System (INIS)

    Malsbury, J.

    1983-01-01

    This paper is concerned with four questions about establishing software QA: What is software QA. Why have software QA. What is the role of software QA. What is necessary to ensure the success of software QA

  18. Communication Skills Training Exploiting Multimodal Emotion Recognition

    Science.gov (United States)

    Bahreini, Kiavash; Nadolski, Rob; Westera, Wim

    2017-01-01

    The teaching of communication skills is a labour-intensive task because of the detailed feedback that should be given to learners during their prolonged practice. This study investigates to what extent our FILTWAM facial and vocal emotion recognition software can be used for improving a serious game (the Communication Advisor) that delivers a…

  19. Post-editing through Speech Recognition

    DEFF Research Database (Denmark)

    Mesa-Lao, Bartolomé

    (i.e. typing, handwriting and speaking) to improve the efficiency and accuracy of the translation process. However, further studies need to be conducted to build up new knowledge about the way in which state-of-the-art speech recognition software can be applied to the post-editing process...

  20. Landsat 6 contract signed

    Science.gov (United States)

    Maggs, William Ward

    A new agreement provides $220 million for development and construction of the Landsat 6 remote sensing satellite and its ground systems. The contract, signed on March 31, 1988, by the Department of Commerce (DOC) and the Earth Observation Satellite (EOSAT) Company of Lanham, Md., came just days after approval of DOC's Landsat commercialization plan by subcommittees of the House and Senate appropriations committees.The Landsat 6 spacecraft is due to be launched into orbit on a Titan II rocket in June 1991 from Vandenburg Air Force Base, Calif. The satellite will carry an Enhanced Thematic Mapper (ETM) sensor, an instrument sensitive to electromagnetic radiation in seven ranges or bands of wavelengths. The satellite's payload will also include the Sea Wide Field Sensor (Sea-WiFS), designed to provide information on sea surface temperature and ocean color. The sensor is being developed in a cooperative effort by EOSAT and the National Aeronautics and Space Administration (NASA). A less certain passenger is a proposed 5-m resolution, three-band sensor sensitive to visible light. EOSAT is trying to find both private financing for the device and potential buyers of the high-resolution imagery that it could produce. The company has been actively courting U.S. television networks, which have in the past used imagery from the European Système Probatoire d'Observation de la Terre (SPOT) satellite for news coverage.

  1. Sociolinguistic Typology and Sign Languages

    OpenAIRE

    Adam Schembri; Jordan Fenlon; Kearsy Cormier; Trevor Johnston

    2018-01-01

    This paper examines the possible relationship between proposed social determinants of morphological ‘complexity’ and how this contributes to linguistic diversity, specifically via the typological nature of the sign languages of deaf communities. We sketch how the notion of morphological complexity, as defined by Trudgill (2011), applies to sign languages. Using these criteria, sign languages appear to be languages with low to moderate levels of morphological complexity. This may partly reflec...

  2. Software Prototyping

    Science.gov (United States)

    Del Fiol, Guilherme; Hanseler, Haley; Crouch, Barbara Insley; Cummins, Mollie R.

    2016-01-01

    Summary Background Health information exchange (HIE) between Poison Control Centers (PCCs) and Emergency Departments (EDs) could improve care of poisoned patients. However, PCC information systems are not designed to facilitate HIE with EDs; therefore, we are developing specialized software to support HIE within the normal workflow of the PCC using user-centered design and rapid prototyping. Objective To describe the design of an HIE dashboard and the refinement of user requirements through rapid prototyping. Methods Using previously elicited user requirements, we designed low-fidelity sketches of designs on paper with iterative refinement. Next, we designed an interactive high-fidelity prototype and conducted scenario-based usability tests with end users. Users were asked to think aloud while accomplishing tasks related to a case vignette. After testing, the users provided feedback and evaluated the prototype using the System Usability Scale (SUS). Results Survey results from three users provided useful feedback that was then incorporated into the design. After achieving a stable design, we used the prototype itself as the specification for development of the actual software. Benefits of prototyping included having 1) subject-matter experts heavily involved with the design; 2) flexibility to make rapid changes, 3) the ability to minimize software development efforts early in the design stage; 4) rapid finalization of requirements; 5) early visualization of designs; 6) and a powerful vehicle for communication of the design to the programmers. Challenges included 1) time and effort to develop the prototypes and case scenarios; 2) no simulation of system performance; 3) not having all proposed functionality available in the final product; and 4) missing needed data elements in the PCC information system. PMID:27081404

  3. Awareness of Deaf Sign Language and Gang Signs.

    Science.gov (United States)

    Smith, Cynthia; Morgan, Robert L.

    There have been increasing incidents of innocent people who use American Sign Language (ASL) or another form of sign language being victimized by gang violence due to misinterpretation of ASL hand formations. ASL is familiar to learners with a variety of disabilities, particularly those in the deaf community. The problem is that gang members have…

  4. Inuit Sign Language: a contribution to sign language typology

    NARCIS (Netherlands)

    Schuit, J.; Baker, A.; Pfau, R.

    2011-01-01

    Sign language typology is a fairly new research field and typological classifications have yet to be established. For spoken languages, these classifications are generally based on typological parameters; it would thus be desirable to establish these for sign languages. In this paper, different

  5. Signs of the arctic: Typological aspects of Inuit Sign Language

    NARCIS (Netherlands)

    Schuit, J.M.

    2014-01-01

    In this thesis, the native sign language used by deaf Inuit people is described. Inuit Sign Language (IUR) is used by less than 40 people as their sole means of communication, and is therefore highly endangered. Apart from the description of IUR as such, an additional goal is to contribute to the

  6. Ranks of dense alternating sign matrices and their sign patterns

    Czech Academy of Sciences Publication Activity Database

    Fiedler, Miroslav; Gao, W.; Hall, F.J.; Jing, G.; Li, Z.; Stroev, M.

    2015-01-01

    Roč. 471, April (2015), s. 109-121 ISSN 0024-3795 R&D Projects: GA ČR(CZ) GA14-07880S Institutional support: RVO:67985840 Keywords : alternating sign matrix * dense matrix * sign pattern matrix Subject RIV: BA - General Mathematics Impact factor: 0.965, year: 2015 http://www.sciencedirect.com/science/article/pii/S0024379515000257

  7. Planning Sign Languages: Promoting Hearing Hegemony? Conceptualizing Sign Language Standardization

    Science.gov (United States)

    Eichmann, Hanna

    2009-01-01

    In light of the absence of a codified standard variety in British Sign Language and German Sign Language ("Deutsche Gebardensprache") there have been repeated calls for the standardization of both languages primarily from outside the Deaf community. The paper is based on a recent grounded theory study which explored perspectives on sign…

  8. Africa: signs of hope?

    Directory of Open Access Journals (Sweden)

    J.F. Kirsten

    2008-07-01

    Full Text Available The dawning of the 21st century generally brought new hope to African leaders and countless thousands of ordinary citizens of many countries on the continent. The first signs of a new turn of events shone through by the end of the last decade of the previous century. This was manifested by economic growth rates that started to pick up in a number of African states, by pro-democracy movements which in country after country succeeded in replacing authoritarian regimes, and by the winding down and termination of some of Africa’s most devastating wars. The results of this analysis confirm the above-mentioned positive political, economic and conflict trends in Africa. It is clearly a significant turn of events given the well-known political and economic predicament with which Africa is struggling. When this negative legacy and Cold War background of Africa is considered, the importance of present developments is clear to see. The identified heightened sense of purpose among the leaders and peoples of Africa and the changed mood and need among Africans to take charge of their own future that found expression in the New Partnership for Africa’s Development (NEPAD are indeed significant and bode well for the future of the continent. A word of warning here is, however, necessary. Our conduct with Africa must be very cautious and we must guard against over-optimism and the exaggerated belief that Africa is now on a trajectory of sustained development and peace. We cannot generalise about Africa – for that the continent is just too big and diverse from a geographical, cultural, economic and political point of view.

  9. Global Software Engineering: A Software Process Approach

    Science.gov (United States)

    Richardson, Ita; Casey, Valentine; Burton, John; McCaffery, Fergal

    Our research has shown that many companies are struggling with the successful implementation of global software engineering, due to temporal, cultural and geographical distance, which causes a range of factors to come into play. For example, cultural, project managementproject management and communication difficulties continually cause problems for software engineers and project managers. While the implementation of efficient software processes can be used to improve the quality of the software product, published software process models do not cater explicitly for the recent growth in global software engineering. Our thesis is that global software engineering factors should be included in software process models to ensure their continued usefulness in global organisations. Based on extensive global software engineering research, we have developed a software process, Global Teaming, which includes specific practices and sub-practices. The purpose is to ensure that requirements for successful global software engineering are stipulated so that organisations can ensure successful implementation of global software engineering.

  10. Static human face recognition using artificial neural networks

    International Nuclear Information System (INIS)

    Qamar, R.; Shah, S.H.; Javed-ur-Rehman

    2003-01-01

    This paper presents a novel method of human face recognition using digital computers. A digital PC camera is used to take the BMP images of the human faces. An artificial neural network using Back Propagation Algorithm is developed as a recognition engine. The BMP images of the faces serve as the input patterns for this engine. A software 'Face Recognition' has been developed to recognize the human faces for which it is trained. Once the neural network is trained for patterns of the faces, the software is able to detect and recognize them with success rate of about 97%. (author)

  11. Software system safety

    Science.gov (United States)

    Uber, James G.

    1988-01-01

    Software itself is not hazardous, but since software and hardware share common interfaces there is an opportunity for software to create hazards. Further, these software systems are complex, and proven methods for the design, analysis, and measurement of software safety are not yet available. Some past software failures, future NASA software trends, software engineering methods, and tools and techniques for various software safety analyses are reviewed. Recommendations to NASA are made based on this review.

  12. Learning to Detect Traffic Signs

    DEFF Research Database (Denmark)

    Møgelmose, Andreas; Trivedi, Mohan M.; Moeslund, Thomas B.

    2012-01-01

    This study compares the performance of sign detection based on synthetic training data to the performance of detection based on real-world training images. Viola-Jones detectors are created for 4 different traffic signs with both synthetic and real data, and varying numbers of training samples. T...

  13. Issues in Sign Language Lexicography

    DEFF Research Database (Denmark)

    Zwitserlood, Inge; Kristoffersen, Jette Hedegaard; Troelsgård, Thomas

    2013-01-01

    ge lexicography has thus far been a relatively obscure area in the world of lexicography. Therefore, this article will contain background information on signed languages and the communities in which they are used, on the lexicography of sign languages, the situation in the Netherlands as well...

  14. Concise Lexicon for Sign Linguistics

    NARCIS (Netherlands)

    dr. Jan Nijen Twilhaar; Dr. Beppie van den Bogaerde

    2016-01-01

    This extensive, well-researched and clearly formatted lexicon of a wide variety of linguistic terms is a long overdue. It is an extremely welcome addition to the bookshelves of sign language teachers, interpreters, linguists, learners and other sign language users, and of course of the Deaf

  15. Towards a Sign Language Synthesizer: a Bridge to Communication Gap of the Hearing/Speech Impaired Community

    Science.gov (United States)

    Maarif, H. A.; Akmeliawati, R.; Gunawan, T. S.; Shafie, A. A.

    2013-12-01

    Sign language synthesizer is a method to visualize the sign language movement from the spoken language. The sign language (SL) is one of means used by HSI people to communicate to normal people. But, unfortunately the number of people, including the HSI people, who are familiar with sign language is very limited. These cause difficulties in the communication between the normal people and the HSI people. The sign language is not only hand movement but also the face expression. Those two elements have complimentary aspect each other. The hand movement will show the meaning of each signing and the face expression will show the emotion of a person. Generally, Sign language synthesizer will recognize the spoken language by using speech recognition, the grammatical process will involve context free grammar, and 3D synthesizer will take part by involving recorded avatar. This paper will analyze and compare the existing techniques of developing a sign language synthesizer, which leads to IIUM Sign Language Synthesizer.

  16. Software engineers and nuclear engineers: teaming up to do testing

    International Nuclear Information System (INIS)

    Kelly, D.; Cote, N.; Shepard, T.

    2007-01-01

    The software engineering community has traditionally paid little attention to the specific needs of engineers and scientists who develop their own software. Recently there has been increased recognition that specific software engineering techniques need to be found for this group of developers. In this case study, a software engineering group teamed with a nuclear engineering group to develop a software testing strategy. This work examines the types of testing that proved to be useful and examines what each discipline brings to the table to improve the quality of the software product. (author)

  17. Modeling online social signed networks

    Science.gov (United States)

    Li, Le; Gu, Ke; Zeng, An; Fan, Ying; Di, Zengru

    2018-04-01

    People's online rating behavior can be modeled by user-object bipartite networks directly. However, few works have been devoted to reveal the hidden relations between users, especially from the perspective of signed networks. We analyze the signed monopartite networks projected by the signed user-object bipartite networks, finding that the networks are highly clustered with obvious community structure. Interestingly, the positive clustering coefficient is remarkably higher than the negative clustering coefficient. Then, a Signed Growing Network model (SGN) based on local preferential attachment is proposed to generate a user's signed network that has community structure and high positive clustering coefficient. Other structural properties of the modeled networks are also found to be similar to the empirical networks.

  18. The Suitability of Cloud-Based Speech Recognition Engines for Language Learning

    Science.gov (United States)

    Daniels, Paul; Iwago, Koji

    2017-01-01

    As online automatic speech recognition (ASR) engines become more accurate and more widely implemented with call software, it becomes important to evaluate the effectiveness and the accuracy of these recognition engines using authentic speech samples. This study investigates two of the most prominent cloud-based speech recognition engines--Apple's…

  19. Face Detection and Recognition

    National Research Council Canada - National Science Library

    Jain, Anil K

    2004-01-01

    This report describes research efforts towards developing algorithms for a robust face recognition system to overcome many of the limitations found in existing two-dimensional facial recognition systems...

  20. Sign Inference for Dynamic Signed Networks via Dictionary Learning

    Directory of Open Access Journals (Sweden)

    Yi Cen

    2013-01-01

    Full Text Available Mobile online social network (mOSN is a burgeoning research area. However, most existing works referring to mOSNs deal with static network structures and simply encode whether relationships among entities exist or not. In contrast, relationships in signed mOSNs can be positive or negative and may be changed with time and locations. Applying certain global characteristics of social balance, in this paper, we aim to infer the unknown relationships in dynamic signed mOSNs and formulate this sign inference problem as a low-rank matrix estimation problem. Specifically, motivated by the Singular Value Thresholding (SVT algorithm, a compact dictionary is selected from the observed dataset. Based on this compact dictionary, the relationships in the dynamic signed mOSNs are estimated via solving the formulated problem. Furthermore, the estimation accuracy is improved by employing a dictionary self-updating mechanism.

  1. Sociolinguistic Typology and Sign Languages.

    Science.gov (United States)

    Schembri, Adam; Fenlon, Jordan; Cormier, Kearsy; Johnston, Trevor

    2018-01-01

    This paper examines the possible relationship between proposed social determinants of morphological 'complexity' and how this contributes to linguistic diversity, specifically via the typological nature of the sign languages of deaf communities. We sketch how the notion of morphological complexity, as defined by Trudgill (2011), applies to sign languages. Using these criteria, sign languages appear to be languages with low to moderate levels of morphological complexity. This may partly reflect the influence of key social characteristics of communities on the typological nature of languages. Although many deaf communities are relatively small and may involve dense social networks (both social characteristics that Trudgill claimed may lend themselves to morphological 'complexification'), the picture is complicated by the highly variable nature of the sign language acquisition for most deaf people, and the ongoing contact between native signers, hearing non-native signers, and those deaf individuals who only acquire sign languages in later childhood and early adulthood. These are all factors that may work against the emergence of morphological complexification. The relationship between linguistic typology and these key social factors may lead to a better understanding of the nature of sign language grammar. This perspective stands in contrast to other work where sign languages are sometimes presented as having complex morphology despite being young languages (e.g., Aronoff et al., 2005); in some descriptions, the social determinants of morphological complexity have not received much attention, nor has the notion of complexity itself been specifically explored.

  2. Sociolinguistic Typology and Sign Languages

    Science.gov (United States)

    Schembri, Adam; Fenlon, Jordan; Cormier, Kearsy; Johnston, Trevor

    2018-01-01

    This paper examines the possible relationship between proposed social determinants of morphological ‘complexity’ and how this contributes to linguistic diversity, specifically via the typological nature of the sign languages of deaf communities. We sketch how the notion of morphological complexity, as defined by Trudgill (2011), applies to sign languages. Using these criteria, sign languages appear to be languages with low to moderate levels of morphological complexity. This may partly reflect the influence of key social characteristics of communities on the typological nature of languages. Although many deaf communities are relatively small and may involve dense social networks (both social characteristics that Trudgill claimed may lend themselves to morphological ‘complexification’), the picture is complicated by the highly variable nature of the sign language acquisition for most deaf people, and the ongoing contact between native signers, hearing non-native signers, and those deaf individuals who only acquire sign languages in later childhood and early adulthood. These are all factors that may work against the emergence of morphological complexification. The relationship between linguistic typology and these key social factors may lead to a better understanding of the nature of sign language grammar. This perspective stands in contrast to other work where sign languages are sometimes presented as having complex morphology despite being young languages (e.g., Aronoff et al., 2005); in some descriptions, the social determinants of morphological complexity have not received much attention, nor has the notion of complexity itself been specifically explored. PMID:29515506

  3. Sociolinguistic Typology and Sign Languages

    Directory of Open Access Journals (Sweden)

    Adam Schembri

    2018-02-01

    Full Text Available This paper examines the possible relationship between proposed social determinants of morphological ‘complexity’ and how this contributes to linguistic diversity, specifically via the typological nature of the sign languages of deaf communities. We sketch how the notion of morphological complexity, as defined by Trudgill (2011, applies to sign languages. Using these criteria, sign languages appear to be languages with low to moderate levels of morphological complexity. This may partly reflect the influence of key social characteristics of communities on the typological nature of languages. Although many deaf communities are relatively small and may involve dense social networks (both social characteristics that Trudgill claimed may lend themselves to morphological ‘complexification’, the picture is complicated by the highly variable nature of the sign language acquisition for most deaf people, and the ongoing contact between native signers, hearing non-native signers, and those deaf individuals who only acquire sign languages in later childhood and early adulthood. These are all factors that may work against the emergence of morphological complexification. The relationship between linguistic typology and these key social factors may lead to a better understanding of the nature of sign language grammar. This perspective stands in contrast to other work where sign languages are sometimes presented as having complex morphology despite being young languages (e.g., Aronoff et al., 2005; in some descriptions, the social determinants of morphological complexity have not received much attention, nor has the notion of complexity itself been specifically explored.

  4. Graphical symbol recognition

    OpenAIRE

    K.C. , Santosh; Wendling , Laurent

    2015-01-01

    International audience; The chapter focuses on one of the key issues in document image processing i.e., graphical symbol recognition. Graphical symbol recognition is a sub-field of a larger research domain: pattern recognition. The chapter covers several approaches (i.e., statistical, structural and syntactic) and specially designed symbol recognition techniques inspired by real-world industrial problems. It, in general, contains research problems, state-of-the-art methods that convey basic s...

  5. Sandia software guidelines: Software quality planning

    Energy Technology Data Exchange (ETDEWEB)

    1987-08-01

    This volume is one in a series of Sandia Software Guidelines intended for use in producing quality software within Sandia National Laboratories. In consonance with the IEEE Standard for Software Quality Assurance Plans, this volume identifies procedures to follow in producing a Software Quality Assurance Plan for an organization or a project, and provides an example project SQA plan. 2 figs., 4 tabs.

  6. Avoidable Software Procurements

    Science.gov (United States)

    2012-09-01

    software license, software usage, ELA, Software as a Service , SaaS , Software Asset...PaaS Platform as a Service SaaS Software as a Service SAM Software Asset Management SMS System Management Server SEWP Solutions for Enterprise Wide...delivery of full Cloud Services , we will see the transition of the Cloud Computing service model from Iaas to SaaS , or Software as a Service . Software

  7. Nanoscale organization of the pathogen receptor DC-SIGN mapped by single-molecule high-resolution fluorescence microscopy.

    NARCIS (Netherlands)

    Bakker, B.I. de; Lange, F. de; Cambi, A.; Korterik, J.P.; Dijk, E.M. van; Hulst, N.F. van; Figdor, C.G.; Garcia-Parajo, M.F.

    2007-01-01

    DC-SIGN, a C-type lectin exclusively expressed on dendritic cells (DCs), plays an important role in pathogen recognition by binding with high affinity to a large variety of microorganisms. Recent experimental evidence points to a direct relation between the function of DC-SIGN as a viral receptor

  8. Nanoscale organization of the pathogen receptor DC-SIGN mapped by single-molecule high-resolution flourescence microscopy

    NARCIS (Netherlands)

    de Bakker, B.I.; de Lange, Frank; Cambi, Alessandra; Cambi, A.; Korterik, Jeroen P.; van Dijk, E.M.H.P.; van Hulst, N.F.; Figdor, Carl; Garcia Parajo, M.F.

    2007-01-01

    DC-SIGN, a C-type lectin exclusively expressed on dendritic cells (DCs), plays an important role in pathogen recognition by binding with high affinity to a large variety of microorganisms. Recent experimental evidence points to a direct relation between the function of DC-SIGN as a viral receptor

  9. The Development of the Forensic Early Warning Signs of Aggression Inventory: Preliminary findings: Toward a Better Management of Inpatient Aggression

    NARCIS (Netherlands)

    Fluttert, F.A.J.; Meijel, B.K.G. van; Leeuwen, M. van; Björkly, S.; Nijman, H.L.I.; Grypdonck, M.H.F.

    2011-01-01

    Objective: Early warning signs of aggression refers to recurring changes in behaviors, thoughts, perceptions, and feelings of the patient that are considered to be precursors of aggressive behavior. The early recognition of these signs offers possibilities for early intervention and prevention of

  10. The Development of the Forensic Early Warning Signs of Aggression lnventory: Preliminary findings: Toward a Better Management of Inpatient Aggression

    NARCIS (Netherlands)

    Stål Bjørkly; prof Berno van Meijel; Henk Nijman; Mieke Grypdonck; Frans Fluttert; Mirjam van Leeuwen

    2011-01-01

    “Early warning signs of aggression” refers to recurring changes in behaviors, thoughts, perceptions, and feelings of the patient that are considered to be precursors of aggressive behavior. The early recognition of these signs offers possibilities for early intervention and prevention of aggressive

  11. Software engineering architecture-driven software development

    CERN Document Server

    Schmidt, Richard F

    2013-01-01

    Software Engineering: Architecture-driven Software Development is the first comprehensive guide to the underlying skills embodied in the IEEE's Software Engineering Body of Knowledge (SWEBOK) standard. Standards expert Richard Schmidt explains the traditional software engineering practices recognized for developing projects for government or corporate systems. Software engineering education often lacks standardization, with many institutions focusing on implementation rather than design as it impacts product architecture. Many graduates join the workforce with incomplete skil

  12. 3 CFR - Presidential Signing Statements

    Science.gov (United States)

    2010-01-01

    ... basis of policy disagreements. At the same time, such signing statements serve a legitimate function in... United States, its departments, agencies, or entities, its officers, employees, or agents, or any other...

  13. Warning Signs of Childhood Emergencies

    Science.gov (United States)

    ... signs - and act on them - by taking a first aid class and learning CPR (cardiopulmonary resuscitation). Your local hospital, ... Care For You Copyright © American College of Emergency Physicians ...

  14. Quantifiers in Russian Sign Language

    NARCIS (Netherlands)

    Kimmelman, V.; Paperno, D.; Keenan, E.L.

    2017-01-01

    After presenting some basic genetic, historical and typological information about Russian Sign Language, this chapter outlines the quantification patterns it expresses. It illustrates various semantic types of quantifiers, such as generalized existential, generalized universal, proportional,

  15. CDC Vital Signs: Legionnaires' Disease

    Science.gov (United States)

    ... gov . Vital Signs Topics Covered Alcohol Antibiotic Resistance Cancer Cardiovascular Diseases Diseases & Conditions Food Safety Healthcare-associated Infections Healthy Living HIV / AIDS Injury, Violence & Safety Motor Vehicle Safety Obesity ...

  16. Diagnosing Dementia—Positive Signs

    Science.gov (United States)

    ... Navigation Bar Home Current Issue Past Issues Diagnosing Dementia—Positive Signs Past Issues / Fall 2007 Table of ... easy, affordable blood test that could accurately diagnose Alzheimer's disease (AD)—even before symptoms began to show? Researchers ...

  17. Single Sign On Internal (SSOi)

    Data.gov (United States)

    Department of Veterans Affairs — Provides single sign-on solution for internal facing VA applications. Allows internal users access to a variety of VA systems and applications using a reduced set of...

  18. Aging changes in vital signs

    Science.gov (United States)

    ... this page: //medlineplus.gov/ency/article/004019.htm Aging changes in vital signs To use the sharing ... Normal body temperature does not change much with aging. But as you get older, it becomes harder ...

  19. Vital Signs-Secondhand Smoke

    Centers for Disease Control (CDC) Podcasts

    This podcast is based on the February 2015 CDC Vital Signs report. Secondhand smoke kills more than 400 infants and 41,000 adult nonsmokers every year. Learn what can be done to prevent secondhand smoke exposure.

  20. Recognition and Toleration

    DEFF Research Database (Denmark)

    Lægaard, Sune

    2010-01-01

    Recognition and toleration are ways of relating to the diversity characteristic of multicultural societies. The article concerns the possible meanings of toleration and recognition, and the conflict that is often claimed to exist between these two approaches to diversity. Different forms...... or interpretations of recognition and toleration are considered, confusing and problematic uses of the terms are noted, and the compatibility of toleration and recognition is discussed. The article argues that there is a range of legitimate and importantly different conceptions of both toleration and recognition...

  1. Kinematic parameters of signed verbs.

    Science.gov (United States)

    Malaia, Evie; Wilbur, Ronnie B; Milkovic, Marina

    2013-10-01

    Sign language users recruit physical properties of visual motion to convey linguistic information. Research on American Sign Language (ASL) indicates that signers systematically use kinematic features (e.g., velocity, deceleration) of dominant hand motion for distinguishing specific semantic properties of verb classes in production ( Malaia & Wilbur, 2012a) and process these distinctions as part of the phonological structure of these verb classes in comprehension ( Malaia, Ranaweera, Wilbur, & Talavage, 2012). These studies are driven by the event visibility hypothesis by Wilbur (2003), who proposed that such use of kinematic features should be universal to sign language (SL) by the grammaticalization of physics and geometry for linguistic purposes. In a prior motion capture study, Malaia and Wilbur (2012a) lent support for the event visibility hypothesis in ASL, but there has not been quantitative data from other SLs to test the generalization to other languages. The authors investigated the kinematic parameters of predicates in Croatian Sign Language ( Hrvatskom Znakovnom Jeziku [HZJ]). Kinematic features of verb signs were affected both by event structure of the predicate (semantics) and phrase position within the sentence (prosody). The data demonstrate that kinematic features of motion in HZJ verb signs are recruited to convey morphological and prosodic information. This is the first crosslinguistic motion capture confirmation that specific kinematic properties of articulator motion are grammaticalized in other SLs to express linguistic features.

  2. The software life cycle

    CERN Document Server

    Ince, Darrel

    1990-01-01

    The Software Life Cycle deals with the software lifecycle, that is, what exactly happens when software is developed. Topics covered include aspects of software engineering, structured techniques of software development, and software project management. The use of mathematics to design and develop computer systems is also discussed. This book is comprised of 20 chapters divided into four sections and begins with an overview of software engineering and software development, paying particular attention to the birth of software engineering and the introduction of formal methods of software develop

  3. 8 CFR 1292.2 - Organizations qualified for recognition; requests for recognition; withdrawal of recognition...

    Science.gov (United States)

    2010-01-01

    ...; requests for recognition; withdrawal of recognition; accreditation of representatives; roster. 1292.2...; requests for recognition; withdrawal of recognition; accreditation of representatives; roster. (a) Qualifications of organizations. A non-profit religious, charitable, social service, or similar organization...

  4. Optical Pattern Recognition

    Science.gov (United States)

    Yu, Francis T. S.; Jutamulia, Suganda

    2008-10-01

    Contributors; Preface; 1. Pattern recognition with optics Francis T. S. Yu and Don A. Gregory; 2. Hybrid neural networks for nonlinear pattern recognition Taiwei Lu; 3. Wavelets, optics, and pattern recognition Yao Li and Yunglong Sheng; 4. Applications of the fractional Fourier transform to optical pattern recognition David Mendlovic, Zeev Zalesky and Haldum M. Oxaktas; 5. Optical implementation of mathematical morphology Tien-Hsin Chao; 6. Nonlinear optical correlators with improved discrimination capability for object location and recognition Leonid P. Yaroslavsky; 7. Distortion-invariant quadratic filters Gregory Gheen; 8. Composite filter synthesis as applied to pattern recognition Shizhou Yin and Guowen Lu; 9. Iterative procedures in electro-optical pattern recognition Joseph Shamir; 10. Optoelectronic hybrid system for three-dimensional object pattern recognition Guoguang Mu, Mingzhe Lu and Ying Sun; 11. Applications of photrefractive devices in optical pattern recognition Ziangyang Yang; 12. Optical pattern recognition with microlasers Eung-Gi Paek; 13. Optical properties and applications of bacteriorhodopsin Q. Wang Song and Yu-He Zhang; 14. Liquid-crystal spatial light modulators Aris Tanone and Suganda Jutamulia; 15. Representations of fully complex functions on real-time spatial light modulators Robert W. Cohn and Laurence G. Hassbrook; Index.

  5. Integrated sign management system : ADOT maintenance group

    Science.gov (United States)

    2003-12-01

    The Arizona Department of Transportation (ADOT) maintains and manages an inventory of roadway signs. Before the implementation of this project, sign technicians maintained inventory records on individual laptops to track their daily sign maintenance ...

  6. ASERA: A Spectrum Eye Recognition Assistant

    Science.gov (United States)

    Yuan, Hailong; Zhang, Haotong; Zhang, Yanxia; Lei, Yajuan; Dong, Yiqiao; Zhao, Yongheng

    2018-04-01

    ASERA, ASpectrum Eye Recognition Assistant, aids in quasar spectral recognition and redshift measurement and can also be used to recognize various types of spectra of stars, galaxies and AGNs (Active Galactic Nucleus). This interactive software allows users to visualize observed spectra, superimpose template spectra from the Sloan Digital Sky Survey (SDSS), and interactively access related spectral line information. ASERA is an efficient and user-friendly semi-automated toolkit for the accurate classification of spectra observed by LAMOST (the Large Sky Area Multi-object Fiber Spectroscopic Telescope) and is available as a standalone Java application and as a Java applet. The software offers several functions, including wavelength and flux scale settings, zoom in and out, redshift estimation, and spectral line identification.

  7. ESTSC - Software Best Practices

    Science.gov (United States)

    DOE Scientific and Technical Software Best Practices December 2010 Table of Contents 1.0 Introduction 2.0 Responsibilities 2.1 OSTI/ESTSC 2.2 SIACs 2.3 Software Submitting Sites/Creators 2.4 Software Sensitivity Review 3.0 Software Announcement and Submission 3.1 STI Software Appropriate for Announcement 3.2

  8. Software Assurance Competency Model

    Science.gov (United States)

    2013-03-01

    COTS) software , and software as a service ( SaaS ). L2: Define and analyze risks in the acquisition of contracted software , COTS software , and SaaS ...2010a]: Application of technologies and processes to achieve a required level of confidence that software systems and services function in the...

  9. Software attribute visualization for high integrity software

    Energy Technology Data Exchange (ETDEWEB)

    Pollock, G.M.

    1998-03-01

    This report documents a prototype tool developed to investigate the use of visualization and virtual reality technologies for improving software surety confidence. The tool is utilized within the execution phase of the software life cycle. It provides a capability to monitor an executing program against prespecified requirements constraints provided in a program written in the requirements specification language SAGE. The resulting Software Attribute Visual Analysis Tool (SAVAnT) also provides a technique to assess the completeness of a software specification.

  10. Photonics approach to traffic signs

    Science.gov (United States)

    Litwin, Dariusz; Galas, Jacek; CzyŻewski, Adam; Rymsza, Barbara; Kornalewski, Leszek; Kryszczyński, Tadeusz; Mikucki, Jerzy; Wikliński, Piotr; Daszkiewicz, Marek; Malasek, Jacek

    2016-12-01

    The automotive industry has been always a driving force for all economies. Despite of its beneficial meaning to every society it brings also many issues including wide area of road safety. The latter has been enforced by the increasing number of cars and the dynamic development of the traffic as a whole. Road signs and traffic lights are crucial in context of good traffic arrangement and its fluency. Traffic designers are used to treat horizontal road signs independently of vertical signs. However, modern light sources and growing flexibility in shaping optical systems create opportunity to design more advanced and smart solutions. In this paper we present an innovative, multidisciplinary approach that consists in tight interdependence of different traffic signals. We describe new optical systems together with their influence on the perception of the road user. The analysis includes maintenance and visibility in different weather conditions. A special attention has been focused on intersections of complex geometry.

  11. Compiling a Sign Language Dictionary

    DEFF Research Database (Denmark)

    Kristoffersen, Jette Hedegaard; Troelsgård, Thomas

    2010-01-01

    As we began working on the Danish Sign Language (DTS) Dictionary, we soon realised the truth in the statement that a lexicographer has to deal with problems within almost any linguistic discipline. Most of these problems come down to establishing simple rules, rules that can easily be applied every...... – or are they homonyms?" and so on. Very often such questions demand further research and can't be answered sufficiently through a simple standard formula. Therefore lexicographic work often seems like an endless series of compromises. Another source of compromise arises when you set out to decide which information...... this dilemma, as we see DTS learners and teachers as well as native DTS signers as our target users. In the following we will focus on four problem areas with particular relevance for the sign language lexicographer: Sign representation Spoken languague equivalents and mouth movements Example sentences Partial...

  12. Characteristic CT signs in oligodendrogliomas

    International Nuclear Information System (INIS)

    Marcu, H.; Vonofakos, D.; Hacker, H.

    1980-01-01

    Computed tomography offers valuable aid for improving the diagnostic capabilities for oligodendrogliomas. The authors have attempted to determine more precisely the CT characteristic signs for this type of tumor and to establish criteria for predicting malignancy grade. They can conclude that calcifications are the main signs which lead to the diagnosis of oligodendroglioma, as the most usual calcifying glioma. This finding was known before the CT era, but with the CT one can be more exact with regard to form, growth, number and density of the calcifications and especially the smallest of them, which are not to be seen on the conventional X-ray examination. The cyst formation is another feature of oligodendroglioma. The occurrence of contrast enhancement and cyst formation are the most characteristic signs of malignancy. (C.F.)

  13. 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.

  14. Statistical Pattern Recognition

    CERN Document Server

    Webb, Andrew R

    2011-01-01

    Statistical pattern recognition relates to the use of statistical techniques for analysing data measurements in order to extract information and make justified decisions.  It is a very active area of study and research, which has seen many advances in recent years. Applications such as data mining, web searching, multimedia data retrieval, face recognition, and cursive handwriting recognition, all require robust and efficient pattern recognition techniques. This third edition provides an introduction to statistical pattern theory and techniques, with material drawn from a wide range of fields,

  15. Preventing aggressive incidents and seclusions in forensic care by means of the 'Early Recognition Method'

    NARCIS (Netherlands)

    Fluttert, F.A.J.; Meijel, B.K.G. van; Nijman, H.L.I.; Björkly, S.; Grypdonck, M.H.F.

    2010-01-01

    Objective. The Early Recognition Method aims at improving collaboration between nurses and patients to prevent aggression in forensic psychiatric care. To achieve this goal, Early Recognition Method strongly focuses on early signs of aggression. In the current study, we investigated whether

  16. Success with voice recognition.

    Science.gov (United States)

    Sferrella, Sheila M

    2003-01-01

    You need a compelling reason to implement voice recognition technology. At my institution, the compelling reason was a turnaround time for Radiology results of more than two days. Only 41 percent of our reports were transcribed and signed within 24 hours. In November 1998, a team from Lehigh Valley Hospital went to RSNA and reviewed every voice system on the market. The evaluation was done with the radiologist workflow in mind, and we came back from the meeting with the vendor selection completed. The next steps included developing a business plan, approval of funds, reference calls to more than 15 sites and contract negotiation, all of which took about six months. The department of Radiology at Lehigh Valley Hospital and Health Network (LVHHN) is a multi-site center that performs over 360,000 procedures annually. The department handles all modalities of radiology: general diagnosis, neuroradiology, ultrasound, CT Scan, MRI, interventional radiology, arthography, myelography, bone densitometry, nuclear medicine, PET imaging, vascular lab and other advanced procedures. The department consists of 200 FTEs and a medical staff of more than 40 radiologists. The budget is in the $10.3 million range. There are three hospital sites and four outpatient imaging center sites where services are provided. At Lehigh Valley Hospital, radiologists are not dedicated to one subspecialty, so implementing a voice system by modality was not an option. Because transcription was so far behind, we needed to eliminate that part of the process. As a result, we decided to deploy the system all at once and with the radiologists as editors. The planning and testing phase took about four months, and the implementation took two weeks. We deployed over 40 workstations and trained close to 50 physicians. The radiologists brought in an extra radiologist from our group for the two weeks of training. That allowed us to train without taking a radiologist out of the department. We trained three to six

  17. Pain Recognition using Spatiotemporal Oriented Energy of Facial Muscles

    DEFF Research Database (Denmark)

    Irani, Ramin; Nasrollahi, Kamal; Moeslund, Thomas B.

    2015-01-01

    Pain is a critical sign in many medical situations and its automatic detection and recognition using computer vision techniques is of great importance. Utilizes this fact that pain is a spatiotemporal process, the proposed system in this paper employs steerable and separable filters to measures e...

  18. Reliability of software

    International Nuclear Information System (INIS)

    Kopetz, H.

    1980-01-01

    Common factors and differences in the reliability of hardware and software; reliability increase by means of methods of software redundancy. Maintenance of software for long term operating behavior. (HP) [de

  19. Space Flight Software Development Software for Intelligent System Health Management

    Science.gov (United States)

    Trevino, Luis C.; Crumbley, Tim

    2004-01-01

    The slide presentation examines the Marshall Space Flight Center Flight Software Branch, including software development projects, mission critical space flight software development, software technical insight, advanced software development technologies, and continuous improvement in the software development processes and methods.

  20. Software Engineering Guidebook

    Science.gov (United States)

    Connell, John; Wenneson, Greg

    1993-01-01

    The Software Engineering Guidebook describes SEPG (Software Engineering Process Group) supported processes and techniques for engineering quality software in NASA environments. Three process models are supported: structured, object-oriented, and evolutionary rapid-prototyping. The guidebook covers software life-cycles, engineering, assurance, and configuration management. The guidebook is written for managers and engineers who manage, develop, enhance, and/or maintain software under the Computer Software Services Contract.

  1. New diagnostic signs in hydatid diseases

    International Nuclear Information System (INIS)

    Sinner, W.N. von

    1991-01-01

    17 of 70 patients with hydatid disease had verified Echinococcus granulosis infection of the chest. In 14 patients (20 percent) the primary location was the lung parenchyma. 2 patients had primary and 1 secondary mediastinal hydatid cysts, and 1 patient a primary hydatid cyst of the chest wall. In 3 above-mentioned patients, secondary pleural involvement occurred, of which 2 were due to ruptured pulmonary cysts and 1 due to an hydatid cyst arising in the liver and having prolapsed into the chest. In all cases, clinical findings, radiography, ultrasound, computed tomography (CT) and/or magnetic resonance imaging (MRI) were correlated to macroscopic and microscopic pathology. Characteristic signs made recognition of hydatid disease possible, sometimes even when serologic tests had been non-conclusive. Assessment of other cysts throughout the body with or without involvement of neighbouring organs or tissues allowed appropriate therapeutic management. CT and MRI also played a key role in recognizing complications (e.g., rupture, infection of cysts). (author). 43 refs.; 8 figs.; 1 tab

  2. Hepatic dimple sign on CT

    Energy Technology Data Exchange (ETDEWEB)

    Matsumoto, Kunihiko; Nakajima, Teiichi; Ishikawa, Nobuyoshi; Ebihara, Reiko; Saida, Yukihisa

    1983-06-01

    The ''Dimple sign'' has been coined by Baltaxe et al. in 1974 and was said to be useful angiographic sign of avascular tumor. Similar dimple can be seen in the margin of the liver on CT examination of the hepatic tumors. We called this hepatic dimple sign and its clinical usefulness on CT examination was studied with 133 cases of hepatic tumors. Among 133 cases, there were 68 cases of hepatocellular carcinoma, 57 cases of metastatic liver tumor, 5 cases of hemangioma of the liver and 3 cases of hepatoblastoma. Hepatic dimple sign was recognized on 2 cases of metastatic liver tumor, 1 case of hemangioma, and 1 case of carcinoma of the gallbladder with hepatic infiltration. Cases experienced in the affiliated hospitals were also studied. A case of hepatocellular carcinoma and a case of metastatic liver tumor were evaluated. These tumors were relativly large measuring over 5cm in the greatest diameter and low density areas were apparent on plain CT. Therefore, dimples in the hepatic margin seen in CT scan did not contribute to the diagnostic accuracy of the liver tumor in these cases. (author).

  3. Hepatic dimple sign on CT

    International Nuclear Information System (INIS)

    Matsumoto, Kunihiko; Nakajima, Teiichi; Ishikawa, Nobuyoshi; Ebihara, Reiko; Saida, Yukihisa

    1983-01-01

    The ''Dimple sign'' has been coined by Baltaxe et al. in 1974 and was said to be useful angiographic sign of avascular tumor. Similar dimple can be seen in the margin of the liver on CT examination of the hepatic tumors. We called this hepatic dimple sign and its clinical usefulness on CT examination was studied with 133 cases of hepatic tumors. Among 133 cases, there were 68 cases of hepatocellular carcinoma, 57 cases of metastatic liver tumor, 5 cases of hemangioma of the liver and 3 cases of hepatoblastoma. Hepatic dimple sign was recognized on 2 cases of metastatic liver tumor, 1 case of hemangioma, and 1 case of carcinoma of the gallbladder with hepatic infiltration. Cases experienced in the affiliated hospitals were also studied. A case of hepatocellular carcinoma and a case of metastatic liver tumor were evaluated. These tumors were relativly large measuring over 5cm in the greatest diameter and low density areas were apparent on plain CT. Therefore, dimples in the hepatic margin seen in CT scan did not contribute to the diagnostic accuracy of the liver tumor in these cases. (author)

  4. BOOMERANG SIGN - A CASE REPORT

    Directory of Open Access Journals (Sweden)

    Justin

    2016-01-01

    Full Text Available INTRODUCTION Boomerang sign is a transient abnormality at the level of splenium of corpus callosum in MRI seen in various conditions.[1-2] We do here report a case of malaria, which presented with the above findings. The transient appearance of such findings need not need any aggressive management, other than managing the underlying cause.

  5. Sign Languages of the World

    DEFF Research Database (Denmark)

    This handbook provides information on some 38 sign languages, including basic facts about each of the languages, structural aspects, history and culture of the Deaf communities, and history of research. The papers are all original, and each has been specifically written for the volume by an expert...

  6. Vital Signs - Child Passenger Safety

    Centers for Disease Control (CDC) Podcasts

    This podcast is based on the February 2014 CDC Vital Signs report. Over the past 10 years, more than 9,000 children 12 and under died in motor vehicle crashes, and a third who died in 2011 weren't buckled up. Buckling up is the best way to reduce injuries and save lives.

  7. Laryngopyocele: signs on computed tomography

    Energy Technology Data Exchange (ETDEWEB)

    Nazaroglu, Hasan E-mail: hnazarog@dicle.edu.tr; Oezates, Mustafa; Uyar, Asur; Deger, Emin; Simsek, Masum

    2000-01-01

    A laryngocele is an air-filled dilation of the saccule of the larynx. An infected laryngocele is called a laryngopyocele. Our experience with a case of laryngopyocele with signs on computed tomography before and after antibiotic therapy is presented since laryngopyocele is more unusual.

  8. Laryngopyocele: signs on computed tomography

    International Nuclear Information System (INIS)

    Nazaroglu, Hasan; Oezates, Mustafa; Uyar, Asur; Deger, Emin; Simsek, Masum

    2000-01-01

    A laryngocele is an air-filled dilation of the saccule of the larynx. An infected laryngocele is called a laryngopyocele. Our experience with a case of laryngopyocele with signs on computed tomography before and after antibiotic therapy is presented since laryngopyocele is more unusual

  9. The Legacy of Space Shuttle Flight Software

    Science.gov (United States)

    Hickey, Christopher J.; Loveall, James B.; Orr, James K.; Klausman, Andrew L.

    2011-01-01

    The initial goals of the Space Shuttle Program required that the avionics and software systems blaze new trails in advancing avionics system technology. Many of the requirements placed on avionics and software were accomplished for the first time on this program. Examples include comprehensive digital fly-by-wire technology, use of a digital databus for flight critical functions, fail operational/fail safe requirements, complex automated redundancy management, and the use of a high-order software language for flight software development. In order to meet the operational and safety goals of the program, the Space Shuttle software had to be extremely high quality, reliable, robust, reconfigurable and maintainable. To achieve this, the software development team evolved a software process focused on continuous process improvement and defect elimination that consistently produced highly predictable and top quality results, providing software managers the confidence needed to sign each Certificate of Flight Readiness (COFR). This process, which has been appraised at Capability Maturity Model (CMM)/Capability Maturity Model Integration (CMMI) Level 5, has resulted in one of the lowest software defect rates in the industry. This paper will present an overview of the evolution of the Primary Avionics Software System (PASS) project and processes over thirty years, an argument for strong statistical control of software processes with examples, an overview of the success story for identifying and driving out errors before flight, a case study of the few significant software issues and how they were either identified before flight or slipped through the process onto a flight vehicle, and identification of the valuable lessons learned over the life of the project.

  10. A Proposed Pedagogical Mobile Application for Learning Sign Language

    Directory of Open Access Journals (Sweden)

    Samir Abou El-Seoud

    2013-01-01

    Full Text Available A handheld device system, such as cellular phone or a PDA, can be used in acquiring Sign Language (SL. The developed system uses graphic applications. The user uses the graphical system to view and to acquire knowledge about sign grammar and syntax based on the local vernacular particular to the country. This paper explores and exploits the possibility of the development of a mobile system to help the deaf and other people to communicate and learn using handheld devices. The pedagogical assessment of the prototype application that uses a recognition-based interface e.g., images and videos, gave evidence that the mobile application is memorable and learnable. Additionally, considering primary and recency effects in the interface design will improve memorability and learnability.

  11. A methodology of error detection: Improving speech recognition in radiology

    OpenAIRE

    Voll, Kimberly Dawn

    2006-01-01

    Automated speech recognition (ASR) in radiology report dictation demands highly accurate and robust recognition software. Despite vendor claims, current implementations are suboptimal, leading to poor accuracy, and time and money wasted on proofreading. Thus, other methods must be considered for increasing the reliability and performance of ASR before it is a viable alternative to human transcription. One such method is post-ASR error detection, used to recover from the inaccuracy of speech r...

  12. Paradigms in object recognition

    International Nuclear Information System (INIS)

    Mutihac, R.; Mutihac, R.C.

    1999-09-01

    A broad range of approaches has been proposed and applied for the complex and rather difficult task of object recognition that involves the determination of object characteristics and object classification into one of many a priori object types. Our paper revises briefly the three main different paradigms in pattern recognition, namely Bayesian statistics, neural networks, and expert systems. (author)

  13. Infant Visual Recognition Memory

    Science.gov (United States)

    Rose, Susan A.; Feldman, Judith F.; Jankowski, Jeffery J.

    2004-01-01

    Visual recognition memory is a robust form of memory that is evident from early infancy, shows pronounced developmental change, and is influenced by many of the same factors that affect adult memory; it is surprisingly resistant to decay and interference. Infant visual recognition memory shows (a) modest reliability, (b) good discriminant…

  14. Recognition and Toleration

    DEFF Research Database (Denmark)

    Lægaard, Sune

    2010-01-01

    Recognition and toleration are ways of relating to the diversity characteristic of multicultural societies. The article concerns the possible meanings of toleration and recognition, and the conflict that is often claimed to exist between these two approaches to diversity. Different forms or inter...

  15. The Subsystem of Numerals in Catalan Sign Language: Description and Examples from a Psycholinguistic Study

    Science.gov (United States)

    Fuentes, Mariana; Tolchinsky, Liliana

    2004-01-01

    Linguistic descriptions of sign languages are important to the recognition of their linguistic status. These languages are an essential part of the cultural heritage of the communities that create and use them and vital in the education of deaf children. They are also the reference point in language acquisition studies. Ours is exploratory…

  16. Teaching and Learning Sign Language as a “Foreign” Language ...

    African Journals Online (AJOL)

    In recent years, there has been a growing debate in the United States, Europe, and Australia about the nature of the Deaf community as a cultural community,1 and the recognition of signed languages as “real” or “legitimate” languages comparable in all meaningful ways to spoken languages. An important element of this ...

  17. 13 CFR 305.12 - Project sign.

    Science.gov (United States)

    2010-01-01

    ... 13 Business Credit and Assistance 1 2010-01-01 2010-01-01 false Project sign. 305.12 Section 305... WORKS AND ECONOMIC DEVELOPMENT INVESTMENTS Requirements for Approved Projects § 305.12 Project sign. The... the construction period of a sign or signs at a conspicuous place at the Project site indicating that...

  18. Eye Gaze in Creative Sign Language

    Science.gov (United States)

    Kaneko, Michiko; Mesch, Johanna

    2013-01-01

    This article discusses the role of eye gaze in creative sign language. Because eye gaze conveys various types of linguistic and poetic information, it is an intrinsic part of sign language linguistics in general and of creative signing in particular. We discuss various functions of eye gaze in poetic signing and propose a classification of gaze…

  19. Numeral Incorporation in Japanese Sign Language

    Science.gov (United States)

    Ktejik, Mish

    2013-01-01

    This article explores the morphological process of numeral incorporation in Japanese Sign Language. Numeral incorporation is defined and the available research on numeral incorporation in signed language is discussed. The numeral signs in Japanese Sign Language are then introduced and followed by an explanation of the numeral morphemes which are…

  20. Challenging ocular image recognition

    Science.gov (United States)

    Pauca, V. Paúl; Forkin, Michael; Xu, Xiao; Plemmons, Robert; Ross, Arun A.

    2011-06-01

    Ocular recognition is a new area of biometric investigation targeted at overcoming the limitations of iris recognition performance in the presence of non-ideal data. There are several advantages for increasing the area beyond the iris, yet there are also key issues that must be addressed such as size of the ocular region, factors affecting performance, and appropriate corpora to study these factors in isolation. In this paper, we explore and identify some of these issues with the goal of better defining parameters for ocular recognition. An empirical study is performed where iris recognition methods are contrasted with texture and point operators on existing iris and face datasets. The experimental results show a dramatic recognition performance gain when additional features are considered in the presence of poor quality iris data, offering strong evidence for extending interest beyond the iris. The experiments also highlight the need for the direct collection of additional ocular imagery.

  1. Magnetic field control of 90 Degree-Sign , 180 Degree-Sign , and 360 Degree-Sign domain wall resistance

    Energy Technology Data Exchange (ETDEWEB)

    Majidi, Roya, E-mail: royamajidi@gmail.com [Department of Physics, Shahid Rajaee Teacher Training University, Lavizan, 16788-15811 Tehran (Iran, Islamic Republic of)

    2012-10-01

    In the present work, we have compared the resistance of the 90 Degree-Sign , 180 Degree-Sign , and 360 Degree-Sign domain walls in the presence of external magnetic field. The calculations are based on the Boltzmann transport equation within the relaxation time approximation. One-dimensional Neel-type domain walls between two domains whose magnetization differs by angle of 90 Degree-Sign , 180 Degree-Sign , and 360 Degree-Sign are considered. The results indicate that the resistance of the 360 Degree-Sign DW is more considerable than that of the 90 Degree-Sign and 180 Degree-Sign DWs. It is also found that the domain wall resistance can be controlled by applying transverse magnetic field. Increasing the strength of the external magnetic field enhances the domain wall resistance. In providing spintronic devices based on magnetic nanomaterials, considering and controlling the effect of domain wall on resistivity are essential.

  2. Image processing and analysis software development

    International Nuclear Information System (INIS)

    Shahnaz, R.

    1999-01-01

    The work presented in this project is aimed at developing a software 'IMAGE GALLERY' to investigate various image processing and analysis techniques. The work was divided into two parts namely the image processing techniques and pattern recognition, which further comprised of character and face recognition. Various image enhancement techniques including negative imaging, contrast stretching, compression of dynamic, neon, diffuse, emboss etc. have been studied. Segmentation techniques including point detection, line detection, edge detection have been studied. Also some of the smoothing and sharpening filters have been investigated. All these imaging techniques have been implemented in a window based computer program written in Visual Basic Neural network techniques based on Perception model have been applied for face and character recognition. (author)

  3. Ensuring Software IP Cleanliness

    Directory of Open Access Journals (Sweden)

    Mahshad Koohgoli

    2007-12-01

    Full Text Available At many points in the life of a software enterprise, determination of intellectual property (IP cleanliness becomes critical. The value of an enterprise that develops and sells software may depend on how clean the software is from the IP perspective. This article examines various methods of ensuring software IP cleanliness and discusses some of the benefits and shortcomings of current solutions.

  4. Commercial Literacy Software.

    Science.gov (United States)

    Balajthy, Ernest

    1997-01-01

    Presents the first year's results of a continuing project to monitor the availability of software of relevance for literacy education purposes. Concludes there is an enormous amount of software available for use by teachers of reading and literacy--whereas drill-and-practice software is the largest category of software available, large numbers of…

  5. Ensuring Software IP Cleanliness

    OpenAIRE

    Mahshad Koohgoli; Richard Mayer

    2007-01-01

    At many points in the life of a software enterprise, determination of intellectual property (IP) cleanliness becomes critical. The value of an enterprise that develops and sells software may depend on how clean the software is from the IP perspective. This article examines various methods of ensuring software IP cleanliness and discusses some of the benefits and shortcomings of current solutions.

  6. Statistical Software Engineering

    Science.gov (United States)

    1998-04-13

    multiversion software subject to coincident errors. IEEE Trans. Software Eng. SE-11:1511-1517. Eckhardt, D.E., A.K Caglayan, J.C. Knight, L.D. Lee, D.F...J.C. and N.G. Leveson. 1986. Experimental evaluation of the assumption of independence in multiversion software. IEEE Trans. Software

  7. Agile Software Development

    Science.gov (United States)

    Biju, Soly Mathew

    2008-01-01

    Many software development firms are now adopting the agile software development method. This method involves the customer at every level of software development, thus reducing the impact of change in the requirement at a later stage. In this article, the principles of the agile method for software development are explored and there is a focus on…

  8. Improving Software Developer's Competence

    DEFF Research Database (Denmark)

    Abrahamsson, Pekka; Kautz, Karlheinz; Sieppi, Heikki

    2002-01-01

    Emerging agile software development methods are people oriented development approaches to be used by the software industry. The personal software process (PSP) is an accepted method for improving the capabilities of a single software engineer. Five original hypotheses regarding the impact...

  9. Software - Naval Oceanography Portal

    Science.gov (United States)

    are here: Home › USNO › Earth Orientation › Software USNO Logo USNO Navigation Earth Orientation Products GPS-based Products VLBI-based Products EO Information Center Publications about Products Software Search databases Auxiliary Software Supporting Software Form Folder Earth Orientation Matrix Calculator

  10. Software Engineering Education Directory

    Science.gov (United States)

    1990-04-01

    and Engineering (CMSC 735) Codes: GPEV2 * Textiooks: IEEE Tutoria on Models and Metrics for Software Management and Engameeing by Basi, Victor R...Software Engineering (Comp 227) Codes: GPRY5 Textbooks: IEEE Tutoria on Software Design Techniques by Freeman, Peter and Wasserman, Anthony 1. Software

  11. Great software debates

    CERN Document Server

    Davis, A

    2004-01-01

    The industry’s most outspoken and insightful critic explains how the software industry REALLY works. In Great Software Debates, Al Davis, shares what he has learned about the difference between the theory and the realities of business and encourages you to question and think about software engineering in ways that will help you succeed where others fail. In short, provocative essays, Davis fearlessly reveals the truth about process improvement, productivity, software quality, metrics, agile development, requirements documentation, modeling, software marketing and sales, empiricism, start-up financing, software research, requirements triage, software estimation, and entrepreneurship.

  12. The city as a sign

    DEFF Research Database (Denmark)

    Kharlamov, Nikita

    2012-01-01

    . This question is tackled through Jaan Valsiner’s notions of semiotic mediation and regulation. I specifically focus on spatial signs that humans use to regulate the meaning-making process that creates as meaningful what Georges Perec called species of spaces, such as towns and cities. “The city,” from...... this standpoint, becomes one of the most important signs that mediate and regulate our experience of environments we inhabit. I discuss a number of theoretical and methodological directions in which this framework could be further developed to revive the urban, or settlement, psychology, which failed to develop...... Werner, and Bernard Kaplan, and developed as cultural-developmental approach by Jaan Valsiner, the proposed framework centers on the experience of individual organismic relating to spatial environment. I draw on the work of Manuel Castells, Edward Soja, and Yi-Fu Tuan to conceptualize the emergence...

  13. Tension pneumocephalus: Mount Fuji sign

    Directory of Open Access Journals (Sweden)

    Pulastya Sanyal

    2015-01-01

    Full Text Available A 13-year-old male was operated for a space occupying lesion in the brain. A noncontrast computed tomography scan done in the late postoperative period showed massive subdural air collection causing compression of bilateral frontal lobes with widening of interhemispheric fissure and the frontal lobes acquiring a peak like configuration - causing tension pneumocephalus-"Mount Fuji sign." Tension pneumocephalus occurs when air enters the extradural or intradural spaces in sufficient volume to exert a mass or pressure effect on the brain, leading to brain herniation. Tension pneumocephalus is a surgical emergency, which needs immediate intervention in the form of decompression of the cranial cavity by a burr hole or needle aspiration. The Mount Fuji sign differentiates tension pneumocephalus from pneumocephalus.

  14. Vital Signs-Secondhand Smoke

    Centers for Disease Control (CDC) Podcasts

    2015-02-03

    This podcast is based on the February 2015 CDC Vital Signs report. Secondhand smoke kills more than 400 infants and 41,000 adult nonsmokers every year. Learn what can be done to prevent secondhand smoke exposure.  Created: 2/3/2015 by National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP).   Date Released: 2/3/2015.

  15. Signed Networks in Social Media

    OpenAIRE

    Leskovec, Jure; Huttenlocher, Daniel; Kleinberg, Jon

    2010-01-01

    Relations between users on social media sites often reflect a mixture of positive (friendly) and negative (antagonistic) interactions. In contrast to the bulk of research on social networks that has focused almost exclusively on positive interpretations of links between people, we study how the interplay between positive and negative relationships affects the structure of on-line social networks. We connect our analyses to theories of signed networks from social psychology. We find that the c...

  16. Vital Signs - Child Passenger Safety

    Centers for Disease Control (CDC) Podcasts

    2014-02-04

    This podcast is based on the February 2014 CDC Vital Signs report. Over the past 10 years, more than 9,000 children 12 and under died in motor vehicle crashes, and a third who died in 2011 weren't buckled up. Buckling up is the best way to reduce injuries and save lives.  Created: 2/4/2014 by National Center for Injury Prevention and Control (NCIPC).   Date Released: 2/4/2014.

  17. Data set for Tifinagh handwriting character recognition

    Directory of Open Access Journals (Sweden)

    Omar Bencharef

    2015-09-01

    Full Text Available The Tifinagh alphabet-IRCAM is the official alphabet of the Amazigh language widely used in North Africa [1]. It includes thirty-one basic letter and two letters each composed of a base letter followed by the sign of labialization. Normalized only in 2003 (Unicode [2], ICRAM-Tifinagh is a young character repertoire. Which needs more work on all levels. In this context we propose a data set for handwritten Tifinagh characters composed of 1376 image; 43 Image For Each character. The dataset can be used to train a Tifinagh character recognition system, or to extract the meaning characteristics of each character.

  18. CERN single sign on solution

    International Nuclear Information System (INIS)

    Ormancey, E

    2008-01-01

    The need for Single Sign On has always been restricted by the absence of cross platform solutions: a single sign on working only on one platform or technology is nearly useless. The recent improvements in Web Services Federation (WS-Federation) standard enabling federation of identity, attribute, authentication and authorization information can now provide real extended Single Sign On solutions. Various solutions have been investigated at CERN and now, a Web SSO solution using some parts of WS-Federation technology is available. Using the Shibboleth Service Provider module for Apache hosted web sites and Microsoft ADFS as the identity provider linked to Active Directory user, users can now authenticate on any web application using a single authentication platform, providing identity, user information (building, phone...) as well as group membership enabling authorization possibilities. A typical scenario: a CERN user can now authenticate on a Linux/Apache website using Windows Integrated credentials, and his Active Directory group membership can be checked before allowing access to a specific web page

  19. Views on Software Testability

    OpenAIRE

    Shimeall, Timothy; Friedman, Michael; Chilenski, John; Voas, Jeffrey

    1994-01-01

    The field of testability is an active, well-established part of engineering of modern computer systems. However, only recently have technologies for software testability began to be developed. These technologies focus on accessing the aspects of software that improve or depreciate the ease of testing. As both the size of implemented software and the amount of effort required to test that software increase, so will the important of software testability technologies in influencing the softwa...

  20. Agile software assessment

    OpenAIRE

    Nierstrasz Oscar; Lungu Mircea

    2012-01-01

    Informed decision making is a critical activity in software development but it is poorly supported by common development environments which focus mainly on low level programming tasks. We posit the need for agile software assessment which aims to support decision making by enabling rapid and effective construction of software models and custom analyses. Agile software assessment entails gathering and exploiting the broader context of software information related to the system at hand as well ...

  1. Software component quality evaluation

    Science.gov (United States)

    Clough, A. J.

    1991-01-01

    The paper describes a software inspection process that can be used to evaluate the quality of software components. Quality criteria, process application, independent testing of the process and proposed associated tool support are covered. Early results indicate that this technique is well suited for assessing software component quality in a standardized fashion. With automated machine assistance to facilitate both the evaluation and selection of software components, such a technique should promote effective reuse of software components.

  2. 8 CFR 292.2 - Organizations qualified for recognition; requests for recognition; withdrawal of recognition...

    Science.gov (United States)

    2010-01-01

    ...; requests for recognition; withdrawal of recognition; accreditation of representatives; roster. 292.2...; withdrawal of recognition; accreditation of representatives; roster. (a) Qualifications of organizations. A non-profit religious, charitable, social service, or similar organization established in the United...

  3. Trends in computer hardware and software.

    Science.gov (United States)

    Frankenfeld, F M

    1993-04-01

    Previously identified and current trends in the development of computer systems and in the use of computers for health care applications are reviewed. Trends identified in a 1982 article were increasing miniaturization and archival ability, increasing software costs, increasing software independence, user empowerment through new software technologies, shorter computer-system life cycles, and more rapid development and support of pharmaceutical services. Most of these trends continue today. Current trends in hardware and software include the increasing use of reduced instruction-set computing, migration to the UNIX operating system, the development of large software libraries, microprocessor-based smart terminals that allow remote validation of data, speech synthesis and recognition, application generators, fourth-generation languages, computer-aided software engineering, object-oriented technologies, and artificial intelligence. Current trends specific to pharmacy and hospitals are the withdrawal of vendors of hospital information systems from the pharmacy market, improved linkage of information systems within hospitals, and increased regulation by government. The computer industry and its products continue to undergo dynamic change. Software development continues to lag behind hardware, and its high cost is offsetting the savings provided by hardware.

  4. Does Courvoisier's sign stand the test of time?

    International Nuclear Information System (INIS)

    Murphy, K.; McLaughlin, P.; O'Connor, B.R.; Breen, M.; O'Súilleabháin, C.; MacEneaney, P.; Maher, M.M.

    2012-01-01

    Aim: To investigate the validity of Courvoisier's sign, in the age of cross-sectional imaging and image analysis software by objectively measuring gallbladder volumes at magnetic resonance cholangiopancreatography (MRCP) in patients with and without biliary obstruction and to assess whether gallbladder volume is more significantly increased in patients with gallstone-related rather than non-gallstone-related biliary obstruction. Materials and methods: All MCRP investigations that were performed at a tertiary hepatobiliary centre over a 2-year period were analysed. The information recorded included the presence or absence of gallbladder stones as well as the presence and type of common bile duct (CBD) disease. Gallbladder volume was calculated from MRCP studies using image analysis software. Results: Three hundred and ninety-four of 645 examined MRCPs (61.1%) were eligible for analysis. A statistically significant difference in mean gallbladder volume existed between the summated obstructive and non-obstructive groups (p < 0.001). In addition, a significant difference existed in mean gallbladder volume between those with CBD stones and non-gallstone CBD obstruction (p = 0.03). Conclusion: A significant difference was observed in gallbladder volumes in the group with biliary obstruction from choledocholithiasis compared with the group with biliary obstruction from other causes. Thus, objective measurement of gallbladder volume from modern cross-sectional imaging studies appears to validate Courvoisier's sign as a valuable clinical sign, which could be applied to modern imaging studies in distinguishing different causes of biliary obstruction in the jaundiced patient.

  5. Towards a Transcription System of Sign Language for 3D Virtual Agents

    Science.gov (United States)

    Do Amaral, Wanessa Machado; de Martino, José Mario

    Accessibility is a growing concern in computer science. Since virtual information is mostly presented visually, it may seem that access for deaf people is not an issue. However, for prelingually deaf individuals, those who were deaf since before acquiring and formally learn a language, written information is often of limited accessibility than if presented in signing. Further, for this community, signing is their language of choice, and reading text in a spoken language is akin to using a foreign language. Sign language uses gestures and facial expressions and is widely used by deaf communities. To enabling efficient production of signed content on virtual environment, it is necessary to make written records of signs. Transcription systems have been developed to describe sign languages in written form, but these systems have limitations. Since they were not originally designed with computer animation in mind, in general, the recognition and reproduction of signs in these systems is an easy task only to those who deeply know the system. The aim of this work is to develop a transcription system to provide signed content in virtual environment. To animate a virtual avatar, a transcription system requires explicit enough information, such as movement speed, signs concatenation, sequence of each hold-and-movement and facial expressions, trying to articulate close to reality. Although many important studies in sign languages have been published, the transcription problem remains a challenge. Thus, a notation to describe, store and play signed content in virtual environments offers a multidisciplinary study and research tool, which may help linguistic studies to understand the sign languages structure and grammar.

  6. Software Quality Assurance Metrics

    Science.gov (United States)

    McRae, Kalindra A.

    2004-01-01

    Software Quality Assurance (SQA) is a planned and systematic set of activities that ensures conformance of software life cycle processes and products conform to requirements, standards and procedures. In software development, software quality means meeting requirements and a degree of excellence and refinement of a project or product. Software Quality is a set of attributes of a software product by which its quality is described and evaluated. The set of attributes includes functionality, reliability, usability, efficiency, maintainability, and portability. Software Metrics help us understand the technical process that is used to develop a product. The process is measured to improve it and the product is measured to increase quality throughout the life cycle of software. Software Metrics are measurements of the quality of software. Software is measured to indicate the quality of the product, to assess the productivity of the people who produce the product, to assess the benefits derived from new software engineering methods and tools, to form a baseline for estimation, and to help justify requests for new tools or additional training. Any part of the software development can be measured. If Software Metrics are implemented in software development, it can save time, money, and allow the organization to identify the caused of defects which have the greatest effect on software development. The summer of 2004, I worked with Cynthia Calhoun and Frank Robinson in the Software Assurance/Risk Management department. My task was to research and collect, compile, and analyze SQA Metrics that have been used in other projects that are not currently being used by the SA team and report them to the Software Assurance team to see if any metrics can be implemented in their software assurance life cycle process.

  7. Subspace methods for pattern recognition in intelligent environment

    CERN Document Server

    Jain, Lakhmi

    2014-01-01

    This research book provides a comprehensive overview of the state-of-the-art subspace learning methods for pattern recognition in intelligent environment. With the fast development of internet and computer technologies, the amount of available data is rapidly increasing in our daily life. How to extract core information or useful features is an important issue. Subspace methods are widely used for dimension reduction and feature extraction in pattern recognition. They transform a high-dimensional data to a lower-dimensional space (subspace), where most information is retained. The book covers a broad spectrum of subspace methods including linear, nonlinear and multilinear subspace learning methods and applications. The applications include face alignment, face recognition, medical image analysis, remote sensing image classification, traffic sign recognition, image clustering, super resolution, edge detection, multi-view facial image synthesis.

  8. Software Engineering Program: Software Process Improvement Guidebook

    Science.gov (United States)

    1996-01-01

    The purpose of this document is to provide experience-based guidance in implementing a software process improvement program in any NASA software development or maintenance community. This guidebook details how to define, operate, and implement a working software process improvement program. It describes the concept of the software process improvement program and its basic organizational components. It then describes the structure, organization, and operation of the software process improvement program, illustrating all these concepts with specific NASA examples. The information presented in the document is derived from the experiences of several NASA software organizations, including the SEL, the SEAL, and the SORCE. Their experiences reflect many of the elements of software process improvement within NASA. This guidebook presents lessons learned in a form usable by anyone considering establishing a software process improvement program within his or her own environment. This guidebook attempts to balance general and detailed information. It provides material general enough to be usable by NASA organizations whose characteristics do not directly match those of the sources of the information and models presented herein. It also keeps the ideas sufficiently close to the sources of the practical experiences that have generated the models and information.

  9. From Software Development to Software Assembly

    NARCIS (Netherlands)

    Sneed, Harry M.; Verhoef, Chris

    2016-01-01

    The lack of skilled programming personnel and the growing burden of maintaining customized software are forcing organizations to quit producing their own software. It's high time they turned to ready-made, standard components to fulfill their business requirements. Cloud services might be one way to

  10. Harmonization versus Mutual Recognition

    DEFF Research Database (Denmark)

    Jørgensen, Jan Guldager; Schröder, Philipp

    The present paper examines trade liberalization driven by the coordination of product standards. For oligopolistic firms situated in separate markets that are initially sheltered by national standards, mutual recognition of standards implies entry and reduced profits at home paired with the oppor......The present paper examines trade liberalization driven by the coordination of product standards. For oligopolistic firms situated in separate markets that are initially sheltered by national standards, mutual recognition of standards implies entry and reduced profits at home paired...... countries and three firms, where firms first lobby for the policy coordination regime (harmonization versus mutual recognition), and subsequently, in case of harmonization, the global standard is auctioned among the firms. We discuss welfare effects and conclude with policy implications. In particular......, harmonized standards may fail to harvest the full pro-competitive effects from trade liberalization compared to mutual recognition; moreover, the issue is most pronounced in markets featuring price competition....

  11. CASE Recognition Awards.

    Science.gov (United States)

    Currents, 1985

    1985-01-01

    A total of 294 schools, colleges, and universities received prizes in this year's CASE Recognition program. Awards were given in: public relations programs, student recruitment, marketing, program pulications, news writing, fund raising, radio programming, school periodicals, etc. (MLW)

  12. Forensic speaker recognition

    NARCIS (Netherlands)

    Meuwly, Didier

    2013-01-01

    The aim of forensic speaker recognition is to establish links between individuals and criminal activities, through audio speech recordings. This field is multidisciplinary, combining predominantly phonetics, linguistics, speech signal processing, and forensic statistics. On these bases, expert-based

  13. The Recognition Of Fatigue

    DEFF Research Database (Denmark)

    Elsass, Peter; Jensen, Bodil; Mørup, Rikke

    2007-01-01

    Elsass P., Jensen B., Morup R., Thogersen M.H. (2007). The Recognition Of Fatigue: A qualitative study of life-stories from rehabilitation clients. International Journal of Psychosocial Rehabilitation. 11 (2), 75-87......Elsass P., Jensen B., Morup R., Thogersen M.H. (2007). The Recognition Of Fatigue: A qualitative study of life-stories from rehabilitation clients. International Journal of Psychosocial Rehabilitation. 11 (2), 75-87...

  14. Evaluating music emotion recognition

    DEFF Research Database (Denmark)

    Sturm, Bob L.

    2013-01-01

    A fundamental problem with nearly all work in music genre recognition (MGR)is that evaluation lacks validity with respect to the principal goals of MGR. This problem also occurs in the evaluation of music emotion recognition (MER). Standard approaches to evaluation, though easy to implement, do...... not reliably differentiate between recognizing genre or emotion from music, or by virtue of confounding factors in signals (e.g., equalization). We demonstrate such problems for evaluating an MER system, and conclude with recommendations....

  15. Why recognition is rational

    Directory of Open Access Journals (Sweden)

    Clintin P. Davis-Stober

    2010-07-01

    Full Text Available The Recognition Heuristic (Gigerenzer and Goldstein, 1996; Goldstein and Gigerenzer, 2002 makes the counter-intuitive prediction that a decision maker utilizing less information may do as well as, or outperform, an idealized decision maker utilizing more information. We lay a theoretical foundation for the use of single-variable heuristics such as the Recognition Heuristic as an optimal decision strategy within a linear modeling framework. We identify conditions under which over-weighting a single predictor is a mini-max strategy among a class of a priori chosen weights based on decision heuristics with respect to a measure of statistical lack of fit we call ``risk''. These strategies, in turn, outperform standard multiple regression as long as the amount of data available is limited. We also show that, under related conditions, weighting only one variable and ignoring all others produces the same risk as ignoring the single variable and weighting all others. This approach has the advantage of generalizing beyond the original environment of the Recognition Heuristic to situations with more than two choice options, binary or continuous representations of recognition, and to other single variable heuristics. We analyze the structure of data used in some prior recognition tasks and find that it matches the sufficient conditions for optimality in our results. Rather than being a poor or adequate substitute for a compensatory model, the Recognition Heuristic closely approximates an optimal strategy when a decision maker has finite data about the world.

  16. Vital Signs-Trucker Safety

    Centers for Disease Control (CDC) Podcasts

    2015-03-03

    This podcast is based on the March 2015 CDC Vital Signs report. In 2012 in the United States, about 317,000 motor vehicle crashes involved a large truck. Twenty-six thousand truck drivers and their passengers were injured in these crashes, and about 700 died. Learn what can be done to help truck drivers stay safe.  Created: 3/3/2015 by National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP).   Date Released: 3/3/2015.

  17. Language policies and sign language translation and interpreting: connections between Brazil and Mozambique

    Directory of Open Access Journals (Sweden)

    Silvana Aguiar dos Santos

    2015-12-01

    Full Text Available http://dx.doi.org/10.5007/1984-8420.2015v16n2p101 This paper is the result of an initial attempt to establish a connection between Brazil and Mozambique regarding sign language translation and interpreting. It reviews some important landmarks in language policies aimed at sign languages in these countries and discusses how certain actions directly impact political decisions related to sign lan­guage translation and interpreting. In this context, two lines of argument are developed. The first one addresses the role of sign language translation and interpreting in the Por­tuguese-speaking context, since Portuguese is the official language in both countries; the other offers some reflections about the Deaf movements and the movements of sign lan­guage translators and interpreters, the legal recognition of sign languages, the develop­ment of undergraduate courses and the contemporary challenges in the work of transla­tion professionals. Finally, it is suggested that sign language translators and interpreters in both Brazil and Mozambique undertake efforts to press government bodies to invest in: (i area-specific training for translators and interpreters, (ii qualification of the ser­vices provided by such professionals, and (iii development of human resources at mas­ter’s and doctoral levels in order to strengthen research on sign language translation and interpreting in the Community of Portuguese-Speaking Countries.

  18. knowledge about obstetric danger signs among preg

    African Journals Online (AJOL)

    user

    about knowledge level of pregnant women on obstetric danger signs. The objective of this .... ple size formula for estimating a single population proportion with the ..... subjects mentioned vaginal bleeding as danger sign during pregnancy ...

  19. Syllabic Length Effect in Visual Word Recognition

    Directory of Open Access Journals (Sweden)

    Roya Ranjbar Mohammadi

    2014-07-01

    Full Text Available Studies on visual word recognition have resulted in different and sometimes contradictory proposals as Multi-Trace Memory Model (MTM, Dual-Route Cascaded Model (DRC, and Parallel Distribution Processing Model (PDP. The role of the number of syllables in word recognition was examined by the use of five groups of English words and non-words. The reaction time of the participants to these words was measured using reaction time measuring software. The results indicated that there was syllabic effect on recognition of both high and low frequency words. The pattern was incremental in terms of syllable number. This pattern prevailed in high and low frequency words and non-words except in one syllable words. In general, the results are in line with the PDP model which claims that a single processing mechanism is used in both words and non-words recognition. In other words, the findings suggest that lexical items are mainly processed via a lexical route.  A pedagogical implication of the findings would be that reading in English as a foreign language involves analytical processing of the syllable of the words.

  20. Low-Budget, Cost-Effective OCR: Optical Character Recognition for MS-DOS Micros.

    Science.gov (United States)

    Perez, Ernest

    1990-01-01

    Discusses optical character recognition (OCR) for use with MS-DOS microcomputers. Cost effectiveness is considered, three types of software approaches to character recognition are explained, hardware and operation requirements are described, possible library applications are discussed, future OCR developments are suggested, and a list of OCR…

  1. Morphing Images: A Potential Tool for Teaching Word Recognition to Children with Severe Learning Difficulties

    Science.gov (United States)

    Sheehy, Kieron

    2005-01-01

    Children with severe learning difficulties who fail to begin word recognition can learn to recognise pictures and symbols relatively easily. However, finding an effective means of using pictures to teach word recognition has proved problematic. This research explores the use of morphing software to support the transition from picture to word…

  2. Signed Young Modules and Simple Specht Modules

    OpenAIRE

    Danz, Susanne; Lim, Kay Jin

    2015-01-01

    By a result of Hemmer, every simple Specht module of a finite symmetric group over a field of odd characteristic is a signed Young module. While Specht modules are parametrized by partitions, indecomposable signed Young modules are parametrized by certain pairs of partitions. The main result of this article establishes the signed Young module labels of simple Specht modules. Along the way we prove a number of results concerning indecomposable signed Young modules that are of independent inter...

  3. Irreducible Specht modules are signed Young modules

    OpenAIRE

    Hemmer, David J.

    2005-01-01

    Recently Donkin defined signed Young modules as a simultaneous generalization of Young and twisted Young modules for the symmetric group. We show that in odd characteristic, if a Specht module $S^\\lambda$ is irreducible, then $S^\\lambda$ is a signed Young module. Thus the set of irreducible Specht modules coincides with the set of irreducible signed Young modules. This provides evidence for our conjecture that the signed Young modules are precisely the class of indecomposable self-dual module...

  4. Software compensation in Particle Flow reconstruction

    CERN Document Server

    Lan Tran, Huong; Sefkow, Felix; Green, Steven; Marshall, John; Thomson, Mark; Simon, Frank

    2017-01-01

    The Particle Flow approach to calorimetry requires highly granular calorimeters and sophisticated software algorithms in order to reconstruct and identify individual particles in complex event topologies. The high spatial granularity, together with analog energy information, can be further exploited in software compensation. In this approach, the local energy density is used to discriminate electromagnetic and purely hadronic sub-showers within hadron showers in the detector to improve the energy resolution for single particles by correcting for the intrinsic non-compensation of the calorimeter system. This improvement in the single particle energy resolution also results in a better overall jet energy resolution by improving the energy measurement of identified neutral hadrons and improvements in the pattern recognition stage by a more accurate matching of calorimeter energies to tracker measurements. This paper describes the software compensation technique and its implementation in Particle Flow reconstruct...

  5. Software Engineering Improvement Plan

    Science.gov (United States)

    2006-01-01

    In performance of this task order, bd Systems personnel provided support to the Flight Software Branch and the Software Working Group through multiple tasks related to software engineering improvement and to activities of the independent Technical Authority (iTA) Discipline Technical Warrant Holder (DTWH) for software engineering. To ensure that the products, comments, and recommendations complied with customer requirements and the statement of work, bd Systems personnel maintained close coordination with the customer. These personnel performed work in areas such as update of agency requirements and directives database, software effort estimation, software problem reports, a web-based process asset library, miscellaneous documentation review, software system requirements, issue tracking software survey, systems engineering NPR, and project-related reviews. This report contains a summary of the work performed and the accomplishments in each of these areas.

  6. Spotting software errors sooner

    International Nuclear Information System (INIS)

    Munro, D.

    1989-01-01

    Static analysis is helping to identify software errors at an earlier stage and more cheaply than conventional methods of testing. RTP Software's MALPAS system also has the ability to check that a code conforms to its original specification. (author)

  7. Avionics and Software Project

    Data.gov (United States)

    National Aeronautics and Space Administration — The goal of the AES Avionics and Software (A&S) project is to develop a reference avionics and software architecture that is based on standards and that can be...

  8. Paladin Software Support Lab

    Data.gov (United States)

    Federal Laboratory Consortium — The Paladin Software Support Environment (SSE) occupies 2,241 square-feet. It contains the hardware and software tools required to support the Paladin Automatic Fire...

  9. Pragmatic Software Innovation

    DEFF Research Database (Denmark)

    Aaen, Ivan; Jensen, Rikke Hagensby

    2014-01-01

    We understand software innovation as concerned with introducing innovation into the development of software intensive systems, i.e. systems in which software development and/or integration are dominant considerations. Innovation is key in almost any strategy for competitiveness in existing markets......, for creating new markets, or for curbing rising public expenses, and software intensive systems are core elements in most such strategies. Software innovation therefore is vital for about every sector of the economy. Changes in software technologies over the last decades have opened up for experimentation......, learning, and flexibility in ongoing software projects, but how can this change be used to facilitate software innovation? How can a team systematically identify and pursue opportunities to create added value in ongoing projects? In this paper, we describe Deweyan pragmatism as the philosophical foundation...

  10. Process mining software repositories

    NARCIS (Netherlands)

    Poncin, W.; Serebrenik, A.; Brand, van den M.G.J.

    2011-01-01

    Software developers' activities are in general recorded in software repositories such as version control systems, bug trackers and mail archives. While abundant information is usually present in such repositories, successful information extraction is often challenged by the necessity to

  11. arXiv HEP Software Foundation Community White Paper Working Group - Software Development, Deployment and Validation

    CERN Document Server

    Couturier, Benjamin; Grasland, Hadrien; Hegner, Benedikt; Jouvin, Michel; Kane, Meghan; Katz, Daniel S.; Kuhr, Thomas; Lange, David; Mendez Lorenzo, Patricia; Ritter, Martin; Stewart, Graeme Andrew; Valassi, Andrea

    The High Energy Phyiscs community has developed and needs to maintain many tens of millions of lines of code and to integrate effectively the work of thousands of developers across large collaborations. Software needs to be built, validated, and deployed across hundreds of sites. Software also has a lifetime of many years, frequently beyond that of the original developer, it must be developed with sustainability in mind. Adequate recognition of software development as a critical task in the HEP community needs to be fostered and an appropriate publication and citation strategy needs to be developed. As part of the HEP Softare Foundation's Community White Paper process a working group on Software Development, Deployment and Validation was formed to examine all of these issues, identify best practice and to formulare recommendations for the next decade. Its report is presented here.

  12. Desarrollo de un software de reconocimiento de imagen para ensayos EMC de inmunidad

    OpenAIRE

    Cerro Gálvez, Ibán

    2012-01-01

    Desenvolupar un software de reconeixement d'imatge per a detectar mal funcionaments durant els assaigs d'immunitat d'EMC. [ANGLÈS] Develop an image recognition software to detect errors during EMC immunity test. [CASTELLÀ] Desarrollar un software de reconocimiento de imagen para detectar el mal funcionamiento durante los ensayos de inmunidad del EMC. [CATALÀ] Desenvolupar un software de reconeixement d'imatge per a detectar mal funcionaments durant els assaigs d'immunitat d'EMC.

  13. Teach Your Computer to Read: Scanners and Optical Character Recognition.

    Science.gov (United States)

    Marsden, Jim

    1993-01-01

    Desktop scanners can be used with a software technology called optical character recognition (OCR) to convert the text on virtually any paper document into an electronic form. OCR offers educators new flexibility in incorporating text into tests, lesson plans, and other materials. (MLF)

  14. Towards Multimodal Emotion Recognition in E-Learning Environments

    Science.gov (United States)

    Bahreini, Kiavash; Nadolski, Rob; Westera, Wim

    2016-01-01

    This paper presents a framework (FILTWAM (Framework for Improving Learning Through Webcams And Microphones)) for real-time emotion recognition in e-learning by using webcams. FILTWAM offers timely and relevant feedback based upon learner's facial expressions and verbalizations. FILTWAM's facial expression software module has been developed and…

  15. Sign language indexation within the MPEG-7 framework

    Science.gov (United States)

    Zaharia, Titus; Preda, Marius; Preteux, Francoise J.

    1999-06-01

    In this paper, we address the issue of sign language indexation/recognition. The existing tools, like on-like Web dictionaries or other educational-oriented applications, are making exclusive use of textural annotations. However, keyword indexing schemes have strong limitations due to the ambiguity of the natural language and to the huge effort needed to manually annotate a large amount of data. In order to overcome these drawbacks, we tackle sign language indexation issue within the MPEG-7 framework and propose an approach based on linguistic properties and characteristics of sing language. The method developed introduces the concept of over time stable hand configuration instanciated on natural or synthetic prototypes. The prototypes are indexed by means of a shape descriptor which is defined as a translation, rotation and scale invariant Hough transform. A very compact representation is available by considering the Fourier transform of the Hough coefficients. Such an approach has been applied to two data sets consisting of 'Letters' and 'Words' respectively. The accuracy and robustness of the result are discussed and a compete sign language description schema is proposed.

  16. Neuromuscular signs associated with acute hypophosphatemia in a dog.

    Science.gov (United States)

    Claus, Kimberly N; Day, Thomas K; Wolf, Christina

    2015-01-01

    The purpose of this report was to describe the successful recognition and management of neuromuscular dysfunction secondary to severe, acute hypophosphatemia in an adult dog with a 2 day history of vomiting, anorexia, and abdominal pain. Radiographs were suggestive of a foreign body obstruction, and surgery was recommended. Resection and anastomosis of the distal duodenum and proximal jejunum was performed. The dog recovered uneventfully, but approximately 36 hr postoperatively, he was found to have significant weakness and muscle tremors that were accompanied by hyperthermia. The only significant abnormality on a serum biochemical profile was a phosphorous level of 0.26 mmol/L. Within 6 hr of initiating phosphorous supplementation, the patient fully recovered and had no residual signs of neuromuscular dysfunction. Signs of neurologic dysfunction secondary to hypophosphatemia are commonly recognized in human patients. Reports of patients with severe muscle weakness, some of which necessitate ventilation due to weakening of muscles of respiration, are common throughout the literature. Less commonly, tremors are noted. This is the first known report of neuromuscular signs recognized and rapidly corrected in a dog. Although it is likely to be uncommon, hypophosphatemia should be recognized as a differential diagnosis in patients with tremors and/or muscle weakness.

  17. 'Twisted tape sign': Its significance in recurrent sigmoid volvulus

    International Nuclear Information System (INIS)

    Gopal, K.; Lim, Y.; Banerjee, B.

    2005-01-01

    Aim: Sigmoid volvulus is a common cause of intestinal obstruction in the elderly. Mild attacks of sigmoid volvulus may be more difficult to diagnose due to the lack of severity of symptoms which may resolve spontaneously only to recur after an interval. This study was a review of patients to assess the incidence of the 'twisted tape sign' and to evaluate the significance of its presence in cases of recurrent sigmoid volvulus. Methods and materials: A retrospective study over eight years revealed six cases of surgically confirmed recurrent sigmoid volvulus. Case records and barium enemas of all patients were reviewed. Results: Six patients were identified, including four men and two women, with a median age of 56 years. Diagnostic difficulties were encountered in four (67%) patients with a delay ranging between 10 and 37 months with a mean 17.3 months. Twisted tape sign was confirmed on all barium examinations retrospectively. Conclusion: Recognition of twisted tape sign on barium enema examination along with an appropriate clinical history would suggest a diagnosis of recurrent sigmoid volvulus

  18. Dictionaries of African Sign Languages: An Overview

    Science.gov (United States)

    Schmaling, Constanze H.

    2012-01-01

    This article gives an overview of dictionaries of African sign languages that have been published to date most of which have not been widely distributed. After an introduction into the field of sign language lexicography and a discussion of some of the obstacles that authors of sign language dictionaries face in general, I will show problems…

  19. Phonological Similarity in American Sign Language.

    Science.gov (United States)

    Hildebrandt, Ursula; Corina, David

    2002-01-01

    Investigates deaf and hearing subjects' ratings of American Sign Language (ASL) signs to assess whether linguistic experience shapes judgments of sign similarity. Findings are consistent with linguistic theories that posit movement and location as core structural elements of syllable structure in ASL. (Author/VWL)

  20. Generating potentially nilpotent full sign patterns

    NARCIS (Netherlands)

    Kim, I.J.; Olesky, D.D.; Shader, B.L.; Driessche, van den P.; Holst, van der H.; Vander Meulen, K.N.

    2009-01-01

    A sign pattern is a matrix with entries in {+,-, 0}. A full sign pattern has no zero entries. The refined inertia of a matrix pattern is defined and techniques are developed for constructing potentially nilpotent full sign patterns. Such patterns are spectrally arbitrary. These techniques can also

  1. Optimization of Antivirus Software

    OpenAIRE

    Catalin BOJA; Adrian VISOIU

    2007-01-01

    The paper describes the main techniques used in development of computer antivirus software applications. For this particular category of software, are identified and defined optimum criteria that helps determine which solution is better and what are the objectives of the optimization process. From the general viewpoint of software optimization are presented methods and techniques that are applied at code development level. Regarding the particularities of antivirus software, the paper analyze...

  2. Open Source Software Development

    Science.gov (United States)

    2011-01-01

    appropriate to refer to FOSS or FLOSS (L for Libre , where the alternative term “ libre software ” has popularity in some parts of the world) in order...Applying Social Network Analysis to Community-Drive Libre Software Projects, Intern. J. Info. Tech. and Web Engineering, 2006, 1(3), 27-28. 17...Open Source Software Development* Walt Scacchi Institute for Software Researcher University of California, Irvine Irvine, CA 92697-3455 USA Abstract

  3. Gammasphere software development

    International Nuclear Information System (INIS)

    Piercey, R.B.

    1994-01-01

    This report describes the activities of the nuclear physics group at Mississippi State University which were performed during 1993. Significant progress has been made in the focus areas: chairing the Gammasphere Software Working Group (SWG); assisting with the porting and enhancement of the ORNL UPAK histogramming software package; and developing standard formats for Gammasphere data products. In addition, they have established a new public ftp archive to distribute software and software development tools and information

  4. Software engineer's pocket book

    CERN Document Server

    Tooley, Michael

    2013-01-01

    Software Engineer's Pocket Book provides a concise discussion on various aspects of software engineering. The book is comprised of six chapters that tackle various areas of concerns in software engineering. Chapter 1 discusses software development, and Chapter 2 covers programming languages. Chapter 3 deals with operating systems. The book also tackles discrete mathematics and numerical computation. Data structures and algorithms are also explained. The text will be of great use to individuals involved in the specification, design, development, implementation, testing, maintenance, and qualit

  5. Software Testing Requires Variability

    DEFF Research Database (Denmark)

    Christensen, Henrik Bærbak

    2003-01-01

    Software variability is the ability of a software system or artefact to be changed, customized or configured for use in a particular context. Variability in software systems is important from a number of perspectives. Some perspectives rightly receive much attention due to their direct economic...... impact in software production. As is also apparent from the call for papers these perspectives focus on qualities such as reuse, adaptability, and maintainability....

  6. Using Pattern Classification and Recognition Techniques for Diagnostic and Prediction

    Directory of Open Access Journals (Sweden)

    MORARIU, N.

    2007-04-01

    Full Text Available The paper presents some aspects regarding the joint use of classification and recognition techniques for the activity evolution diagnostication and prediction by means of a set of indexes. Starting from the indexes set there is defined a measure on the patterns set, measure representing a scalar value that characterizes the activity analyzed at each time moment. A pattern is defined by the values of the indexes set at a given time. Over the classes set obtained by means of the classification and recognition techniques is defined a relation that allows the representation of the evolution from negative evolution towards positive evolution. For the diagnostication and prediction the following tools are used: pattern recognition and multilayer perceptron. The data set used in experiments describes the pollution due to CO2 emission from the consumption of fuels in Europe. The paper also presents the REFORME software written by the authors and the results of the experiment obtained with this software.

  7. Computer software quality assurance

    International Nuclear Information System (INIS)

    Ives, K.A.

    1986-06-01

    The author defines some criteria for the evaluation of software quality assurance elements for applicability to the regulation of the nuclear industry. The author then analyses a number of software quality assurance (SQA) standards. The major extracted SQA elements are then discussed, and finally specific software quality assurance recommendations are made for the nuclear industry

  8. Software Architecture Evolution

    Science.gov (United States)

    Barnes, Jeffrey M.

    2013-01-01

    Many software systems eventually undergo changes to their basic architectural structure. Such changes may be prompted by new feature requests, new quality attribute requirements, changing technology, or other reasons. Whatever the causes, architecture evolution is commonplace in real-world software projects. Today's software architects, however,…

  9. XES Software Communication Extension

    NARCIS (Netherlands)

    Leemans, M.; Liu, C.

    2017-01-01

    During the execution of software, execution data can be recorded. With the development of process mining techniques on the one hand, and the growing availability of software execution data on the other hand, a new form of software analytics comes into reach. That is, applying process mining

  10. Neutron Scattering Software

    Science.gov (United States)

    Home Page | Facilities | Reference | Software | Conferences | Announcements | Mailing Lists Neutron Scattering Banner Neutron Scattering Software A new portal for neutron scattering has just been established sets KUPLOT: data plotting and fitting software ILL/TAS: Matlab probrams for analyzing triple axis data

  11. XES Software Event Extension

    NARCIS (Netherlands)

    Leemans, M.; Liu, C.

    2017-01-01

    During the execution of software, execution data can be recorded. With the development of process mining techniques on the one hand, and the growing availability of software execution data on the other hand, a new form of software analytics comes into reach. That is, applying process mining

  12. ARC Software and Models

    Science.gov (United States)

    Archives RESEARCH ▼ Research Areas Ongoing Projects Completed Projects SOFTWARE CONTACT ▼ Primary Contacts Researchers External Link MLibrary Deep Blue Software Archive Most research conducted at the ARC produce software code and methodologies that are transferred to TARDEC and industry partners. These

  13. XES Software Telemetry Extension

    NARCIS (Netherlands)

    Leemans, M.; Liu, C.

    2017-01-01

    During the execution of software, execution data can be recorded. With the development of process mining techniques on the one hand, and the growing availability of software execution data on the other hand, a new form of software analytics comes into reach. That is, applying process mining

  14. Specifications in software prototyping

    OpenAIRE

    Luqi; Chang, Carl K.; Zhu, Hong

    1998-01-01

    We explore the use of software speci®cations for software prototyping. This paper describes a process model for software prototyping, and shows how specifications can be used to support such a process via a cellular mobile phone switch example.

  15. Software Engineering for Portability.

    Science.gov (United States)

    Stanchev, Ivan

    1990-01-01

    Discussion of the portability of educational software focuses on the software design and development process. Topics discussed include levels of portability; the user-computer dialog; software engineering principles; design techniques for student performance records; techniques of courseware programing; and suggestions for further research and…

  16. Software Acquisition and Software Engineering Best Practices

    National Research Council Canada - National Science Library

    Eslinger, S

    1999-01-01

    The purpose of this white paper is to address the issues raised in the recently published Senate Armed Services Committee Report 106-50 concerning Software Management Improvements for the Department of Defense (DoD...

  17. Software Quality Assurance in Software Projects: A Study of Pakistan

    OpenAIRE

    Faisal Shafique Butt; Sundus Shaukat; M. Wasif Nisar; Ehsan Ullah Munir; Muhammad Waseem; Kashif Ayyub

    2013-01-01

    Software quality is specific property which tells what kind of standard software should have. In a software project, quality is the key factor of success and decline of software related organization. Many researches have been done regarding software quality. Software related organization follows standards introduced by Capability Maturity Model Integration (CMMI) to achieve good quality software. Quality is divided into three main layers which are Software Quality Assurance (SQA), Software Qu...

  18. Model Driven Software Development for Agricultural Robotics

    DEFF Research Database (Denmark)

    Larsen, Morten

    The design and development of agricultural robots, consists of both mechan- ical, electrical and software components. All these components must be de- signed and combined such that the overall goal of the robot is fulfilled. The design and development of these systems require collaboration between...... processing, control engineering, etc. This thesis proposes a Model-Driven Software Develop- ment based approach to model, analyse and partially generate the software implementation of a agricultural robot. Furthermore, Guidelines for mod- elling the architecture of an agricultural robots are provided......, assisting with bridging the different engineering disciplines. Timing play an important role in agricultural robotic applications, synchronisation of robot movement and implement actions is important in order to achieve precision spraying, me- chanical weeding, individual feeding, etc. Discovering...

  19. Safety Signs Perception and Adoption with the ISO and ANSI Standards

    Directory of Open Access Journals (Sweden)

    Amir Hossein Davoudian Talab

    2017-10-01

    Full Text Available Background One way of controlling hazards in the work environment is a use of safety signs. Safety signs are among the safe information group; hence, if these signs are not understood properly it could cause an injury or even death. Objectives The aim of this study is surveying perception of safety signs and adoption with ISO and ANSI standards. Methods This cross-sectional study was conducted during 2013 to 2014 in the 3 provinces of Khuzestan, Fars, and Tehran. The study population included 370 non-monochromatic employees working in the industries. For collecting information, the standard questionnaire of the international organization for standard (ISO 9186-1 and demographic information was used. A total of 13 safety signs were utilized for determination of perception. Stratified - Random sampling method was used, then, the obtained data were utilized using SPSS-16 software and applying descriptive statistics. Results In this study, the overall rate of perception of safety signs was 78.4% with a standard deviation of 15.1%. The lowest percentage of perception was related to the sign “face shield must be worn” (53.5%. In the assessment of safety signs based on ANSI Z5353 and ISO 9186-1 standard, 62.5% and 69.2% of signs can be reached to limit of acceptable perception. Conclusions The perception patterns of safety signs are different. Assessing perception of signs show a moderate level of perception in accordance with ISO standard; however, to reach ANSI standard, implementation of intervention programs (Judgment test is suggested due to perceptual adaptation with target population and redesign of sign with low perception.

  20. Licensing safety critical software

    International Nuclear Information System (INIS)

    Archinoff, G.H.; Brown, R.A.

    1990-01-01

    Licensing difficulties with the shutdown system software at the Darlington Nuclear Generating Station contributed to delays in starting up the station. Even though the station has now been given approval by the Atomic Energy Control Board (AECB) to operate, the software issue has not disappeared - Ontario Hydro has been instructed by the AECB to redesign the software. This article attempts to explain why software based shutdown systems were chosen for Darlington, why there was so much difficulty licensing them, and what the implications are for other safety related software based applications

  1. Probabilistic Open Set Recognition

    Science.gov (United States)

    Jain, Lalit Prithviraj

    Real-world tasks in computer vision, pattern recognition and machine learning often touch upon the open set recognition problem: multi-class recognition with incomplete knowledge of the world and many unknown inputs. An obvious way to approach such problems is to develop a recognition system that thresholds probabilities to reject unknown classes. Traditional rejection techniques are not about the unknown; they are about the uncertain boundary and rejection around that boundary. Thus traditional techniques only represent the "known unknowns". However, a proper open set recognition algorithm is needed to reduce the risk from the "unknown unknowns". This dissertation examines this concept and finds existing probabilistic multi-class recognition approaches are ineffective for true open set recognition. We hypothesize the cause is due to weak adhoc assumptions combined with closed-world assumptions made by existing calibration techniques. Intuitively, if we could accurately model just the positive data for any known class without overfitting, we could reject the large set of unknown classes even under this assumption of incomplete class knowledge. For this, we formulate the problem as one of modeling positive training data by invoking statistical extreme value theory (EVT) near the decision boundary of positive data with respect to negative data. We provide a new algorithm called the PI-SVM for estimating the unnormalized posterior probability of class inclusion. This dissertation also introduces a new open set recognition model called Compact Abating Probability (CAP), where the probability of class membership decreases in value (abates) as points move from known data toward open space. We show that CAP models improve open set recognition for multiple algorithms. Leveraging the CAP formulation, we go on to describe the novel Weibull-calibrated SVM (W-SVM) algorithm, which combines the useful properties of statistical EVT for score calibration with one-class and binary

  2. The Way of the Sign

    DEFF Research Database (Denmark)

    Elias, Camelia

    The Way of the Sign is a book about extraction, about reducing methods of inquiry to the bare bones. It guides students through 10 schools of theory and criticism. The focus is on ‘asking’ each theory to give its best in the simplest way, by making us see what is at stake and how we might respond...... to it. In simple Socratic dialogues, Elias invents scenarios: ‘What is happening?’ Deconstruction asks. And we answer with it: ‘We are buying a mythology.’ ‘How does it make us feel?’ ‘Dumb.’ ‘What is happening?’ Marxism asks. And we answer with it: ‘The rich cheat us.’ ‘How does it make us feel...

  3. Electronic traffic signs: Reflecting upon its transition

    Energy Technology Data Exchange (ETDEWEB)

    Arbaiza Martin, A.E.; Alba, A.L.; Hernando Mazon, A.; Blanch Mico, M.T.

    2016-07-01

    In our days we face a fundamental issue concerning road signs. We may display contents in vertical and horizontal format (static signs, variable message signs, road markings), either on a post, a gantry or a dashboard. And we foresee a coming age where the excellent matrix resolution of painted signs will be truly approached by the resolution of full matrix displays. But we also risk a babel context threatening the universal approach encouraged by international catalogues as the 1968 Convention (ECE/TRANS/196, 2007). And the fundamental risk comes from our decisions regarding how the transition from the contents and formats displayed on static message signs to the ones displayed on electronic signs (in gantries or dashboards) should be. Our work explores this issue specifically, considering the transition from Advance Direction Signs (static message signs, class G, 1 in the 1968 Convention) to what could be termed Advance Location Signs (signs concerning the location of variable events with regards to certain landmarks) developed as an adaptation of the G, 1 class to electronic traffic signs.(Author)

  4. HAZARD ANALYSIS SOFTWARE

    International Nuclear Information System (INIS)

    Sommer, S; Tinh Tran, T.

    2008-01-01

    Washington Safety Management Solutions, LLC developed web-based software to improve the efficiency and consistency of hazard identification and analysis, control selection and classification, and to standardize analysis reporting at Savannah River Site. In the new nuclear age, information technology provides methods to improve the efficiency of the documented safety analysis development process which includes hazard analysis activities. This software provides a web interface that interacts with a relational database to support analysis, record data, and to ensure reporting consistency. A team of subject matter experts participated in a series of meetings to review the associated processes and procedures for requirements and standard practices. Through these meetings, a set of software requirements were developed and compiled into a requirements traceability matrix from which software could be developed. The software was tested to ensure compliance with the requirements. Training was provided to the hazard analysis leads. Hazard analysis teams using the software have verified its operability. The software has been classified as NQA-1, Level D, as it supports the analysis team but does not perform the analysis. The software can be transported to other sites with alternate risk schemes. The software is being used to support the development of 14 hazard analyses. User responses have been positive with a number of suggestions for improvement which are being incorporated as time permits. The software has enforced a uniform implementation of the site procedures. The software has significantly improved the efficiency and standardization of the hazard analysis process

  5. Software Validation in ATLAS

    International Nuclear Information System (INIS)

    Hodgkinson, Mark; Seuster, Rolf; Simmons, Brinick; Sherwood, Peter; Rousseau, David

    2012-01-01

    The ATLAS collaboration operates an extensive set of protocols to validate the quality of the offline software in a timely manner. This is essential in order to process the large amounts of data being collected by the ATLAS detector in 2011 without complications on the offline software side. We will discuss a number of different strategies used to validate the ATLAS offline software; running the ATLAS framework software, Athena, in a variety of configurations daily on each nightly build via the ATLAS Nightly System (ATN) and Run Time Tester (RTT) systems; the monitoring of these tests and checking the compilation of the software via distributed teams of rotating shifters; monitoring of and follow up on bug reports by the shifter teams and periodic software cleaning weeks to improve the quality of the offline software further.

  6. Touchless palmprint recognition systems

    CERN Document Server

    Genovese, Angelo; Scotti, Fabio

    2014-01-01

    This book examines the context, motivation and current status of biometric systems based on the palmprint, with a specific focus on touchless and less-constrained systems. It covers new technologies in this rapidly evolving field and is one of the first comprehensive books on palmprint recognition systems.It discusses the research literature and the most relevant industrial applications of palmprint biometrics, including the low-cost solutions based on webcams. The steps of biometric recognition are described in detail, including acquisition setups, algorithms, and evaluation procedures. Const

  7. Images in pediatrics: the thymic sail sign and thymic wave sign.

    Science.gov (United States)

    Alves, Nuno D; Sousa, Marta

    2013-01-01

    The authors present a radiographic image portraying the "thymic sail sign" and the "thymic wave sign," both normal findings in infant radiographs and present a short description of these signs. These are distinguished from pathologic findings such as the "spinnaker-sail sign" in pneumomediastinum.

  8. Online Learning Software – Why Pay for It?

    OpenAIRE

    Jim FLOOD

    2007-01-01

    Numbers with pound signs in front and four noughts following them are quite usual for the basic price of e-learning software. In spite of the high cost of software and criticism of it, many organizations are still locking themselves into expensive contracts when there are freely available alternatives that can deliver most of the attributes of commercially available Learning Management Systems (LMS). Learning Management Systems were developed amid the dot com boom of the 90s and are typical o...

  9. The Shepherd's Crook Sign: A New Neuroimaging Pareidolia in Joubert Syndrome.

    Science.gov (United States)

    Manley, Andrew T; Maertens, Paul M

    2015-01-01

    By pareidolically recognizing specific patterns indicative of particular diseases, neuroimagers reinforce their mnemonic strategies and improve their neuroimaging diagnostic skills. Joubert Syndrome (JS) is an autosomal recessive disorder characterized clinically by mental retardation, episodes of abnormal deep and rapid breathing, abnormal eye movements, and ataxia. Many neuroimaging signs characteristic of JS have been reported. In retrospective case study, two consanguineous neonates diagnosed with JS were evaluated with brain magnetic resonance imaging (MRI), computed tomography (CT), and neurosonography. Both cranial ultrasound and MRI of the brain showed the characteristic molar tooth sign. There was a shepherd's crook in the sagittal views of the posterior fossa where the shaft of the crook is made by the brainstem and the pons. The arc of the crook is made by the abnormal superior cerebellar peduncle and cerebellar hemisphere. By ultrasound, the shepherd's crook sign was seen through the posterior fontanelle only. CT imaging also showed the shepherd's crook sign. Neuroimaging diagnosis of JS, which already involves the pareidolical recognition of specific patterns indicative of the disease, can be improved by recognition of the shepherd's crook sign on MRI, CT, and cranial ultrasound. Copyright © 2014 by the American Society of Neuroimaging.

  10. [Deficient identification of signs and symptoms in Streptoccoci amigdalitis].

    Science.gov (United States)

    Carranza-Martínez, Martha Imelda; Valdés-Croda, Oscar; Jaspersen-Gastelum, Víctor; Chavolla-Magaña, Rogelio; Villaseñor-Sierra, Alberto

    2006-01-01

    To evaluate the degree of identification of main signs and symptoms of streptococcal pharyngitis by resident doctors, general practitioners, family physicians and pediatricians. A prospective, cross-sectional and comparative study was done. A validated questionnaire was applied including the following topics: social demographic, main signs and symptoms, clinical cases; and clinical pictures. We interviewed resident doctors (n = 40), general physicians (n = 21), family physicians (n = 35) and pediatricians (n = 19) from different institutions (SSa, ISSSTE, IMSS) in Guadalajara, Mexico, from March to August 2005. Scores were interpreted as very good, good, regular and poor, and these scores were related with the specialty and clinical years of experience. chi2, student t test and linear regression. This study included 115 physicians between 22 to 60 years old (mean = 39) and with 0 to 31 (mean = 10) clinical years of experience. Regarding the conceptual identification of main signs and symptoms, tonsil exudates were recognized by 33 to 61% of physicians, and a clinical case of streptococcal tonsillitis was recognized by 50 to 70%. A clinical picture of tonsil caseum was misinterpreted as streptococcal tonsillitis by 13 to 35% of the physicians. There was no association between years of clinical experience and the scores obtained in clinical cases (r = 0.20) or clinical pictures (r = 0.09). The clinical identification of streptococcal tonsillitis was regular to poor among all the interviewed physicians, and there had no correlation with the years of clinical experience. The reinforcement in teaching to recognize the key signs and symptoms of streptococcal tonsillitis at medical school would result in better recognition, more rational use of antimicrobials and reduction in health institutions costs.

  11. Danger Signs of Childhood Pneumonia: Caregiver Awareness and Care Seeking Behavior in a Developing Country

    Directory of Open Access Journals (Sweden)

    Ikenna K. Ndu

    2015-01-01

    Full Text Available Background. Efforts to reduce child mortality especially in Africa must as a necessity aim to decrease mortality due to pneumonia. To achieve this, preventive strategies such as expanding vaccination coverage are key. However once a child develops pneumonia prompt treatment which is essential to survival is dependent on mothers and caregiver recognition of the symptoms and danger signs of pneumonia. Methods. This community based cross-sectional study enrolled four hundred and sixty-six caregivers in Enugu state. It aimed to determine knowledge of caregivers about danger signs of pneumonia and the sociodemographic factors that influence knowledge and care seeking behaviour of caregivers. Results. There is poor knowledge of the aetiology and danger signs of pneumonia among caregivers. Higher maternal educational attainment and residence in semiurban area were significantly associated with knowledge of aetiology, danger signs, and vaccination of their children against pneumonia. Fast breathing and difficulty in breathing were the commonest known and experienced WHO recognized danger signs while fever was the commonest perceived danger sign among caregivers. Conclusion. Knowledge of danger signs and health seeking behaviour among caregivers is inadequate. There is need for intensified public and hospital based interventions targeted at mothers to improve their knowledge about pneumonia.

  12. [Prosopagnosia and facial expression recognition].

    Science.gov (United States)

    Koyama, Shinichi

    2014-04-01

    This paper reviews clinical neuropsychological studies that have indicated that the recognition of a person's identity and the recognition of facial expressions are processed by different cortical and subcortical areas of the brain. The fusiform gyrus, especially the right fusiform gyrus, plays an important role in the recognition of identity. The superior temporal sulcus, amygdala, and medial frontal cortex play important roles in facial-expression recognition. Both facial recognition and facial-expression recognition are highly intellectual processes that involve several regions of the brain.

  13. NASA software documentation standard software engineering program

    Science.gov (United States)

    1991-01-01

    The NASA Software Documentation Standard (hereinafter referred to as Standard) can be applied to the documentation of all NASA software. This Standard is limited to documentation format and content requirements. It does not mandate specific management, engineering, or assurance standards or techniques. This Standard defines the format and content of documentation for software acquisition, development, and sustaining engineering. Format requirements address where information shall be recorded and content requirements address what information shall be recorded. This Standard provides a framework to allow consistency of documentation across NASA and visibility into the completeness of project documentation. This basic framework consists of four major sections (or volumes). The Management Plan contains all planning and business aspects of a software project, including engineering and assurance planning. The Product Specification contains all technical engineering information, including software requirements and design. The Assurance and Test Procedures contains all technical assurance information, including Test, Quality Assurance (QA), and Verification and Validation (V&V). The Management, Engineering, and Assurance Reports is the library and/or listing of all project reports.

  14. Associations between working memory, health literacy, and recall of the signs of stroke among older adults.

    Science.gov (United States)

    Ganzer, Christine A; Insel, Kathleen C; Ritter, Leslie S

    2012-10-01

    Stroke remains a major cause of mortality and disability among older adults. Although early treatment after stroke is known to reduce both mortality and disability, the first step in seeking early treatment is dependent on the rapid recognition of the signs of stroke. Recall of the signs of stroke may be dependent on factors that exist before the stroke itself. Although it is known that both working memory and health literacy decline with advancing age, these factors have not been thoroughly examined with respect to recall of the signs of stroke. Therefore, the purpose of the current study was to investigate associations between working memory, health literacy, and recall of the signs of stroke among older adults. Community dwelling older adults (≥65 years of age) were recruited from two senior centers. Fifty-six participants meeting inclusion criteria provided demographic and health information and were asked to read a public service brochure listing the five warning signs of stroke. Working memory was then assessed using the Wechsler Adult Intelligence Scale 3rd Edition Working Memory Index. Health literacy was assessed by the Short Test of Functional Health Literacy in Adults. Participants' recall of the five warning signs of stroke was evaluated. The mean age was 80.4 years. The mean number of the signs of stroke recalled was 2.9 ± 1.33. Working memory and health literacy were positively correlated with recall of the signs of stroke (r = .38, p recall. There was no statistically significant interaction between working memory and health literacy. Findings from this study indicate that working memory and health literacy were associated with successful recall of the warning signs of stroke in older adults. Further studies are needed to determine if programs that include cognitive and literacy assessments could identify older adults who need additional support to learn and recall the signs of stroke.

  15. Software Maintenance and Evolution: The Implication for Software ...

    African Journals Online (AJOL)

    Software Maintenance and Evolution: The Implication for Software Development. ... Software maintenance is the process of modifying existing operational software by correcting errors, ... EMAIL FREE FULL TEXT EMAIL FREE FULL TEXT

  16. Optical Character Recognition.

    Science.gov (United States)

    Converso, L.; Hocek, S.

    1990-01-01

    This paper describes computer-based optical character recognition (OCR) systems, focusing on their components (the computer, the scanner, the OCR, and the output device); how the systems work; and features to consider in selecting a system. A list of 26 questions to ask to evaluate systems for potential purchase is included. (JDD)

  17. Recognition of fractal graphs

    NARCIS (Netherlands)

    Perepelitsa, VA; Sergienko, [No Value; Kochkarov, AM

    1999-01-01

    Definitions of prefractal and fractal graphs are introduced, and they are used to formulate mathematical models in different fields of knowledge. The topicality of fractal-graph recognition from the point of view, of fundamental improvement in the efficiency of the solution of algorithmic problems

  18. Facial Expression Recognition

    NARCIS (Netherlands)

    Pantic, Maja; Li, S.; Jain, A.

    2009-01-01

    Facial expression recognition is a process performed by humans or computers, which consists of: 1. Locating faces in the scene (e.g., in an image; this step is also referred to as face detection), 2. Extracting facial features from the detected face region (e.g., detecting the shape of facial

  19. Automatic speech recognition for report generation in computed tomography

    International Nuclear Information System (INIS)

    Teichgraeber, U.K.M.; Ehrenstein, T.; Lemke, M.; Liebig, T.; Stobbe, H.; Hosten, N.; Keske, U.; Felix, R.

    1999-01-01

    Purpose: A study was performed to compare the performance of automatic speech recognition (ASR) with conventional transcription. Materials and Methods: 100 CT reports were generated by using ASR and 100 CT reports were dictated and written by medical transcriptionists. The time for dictation and correction of errors by the radiologist was assessed and the type of mistakes was analysed. The text recognition rate was calculated in both groups and the average time between completion of the imaging study by the technologist and generation of the written report was assessed. A commercially available speech recognition technology (ASKA Software, IBM Via Voice) running of a personal computer was used. Results: The time for the dictation using digital voice recognition was 9.4±2.3 min compared to 4.5±3.6 min with an ordinary Dictaphone. The text recognition rate was 97% with digital voice recognition and 99% with medical transcriptionists. The average time from imaging completion to written report finalisation was reduced from 47.3 hours with medical transcriptionists to 12.7 hours with ASR. The analysis of misspellings demonstrated (ASR vs. medical transcriptionists): 3 vs. 4 for syntax errors, 0 vs. 37 orthographic mistakes, 16 vs. 22 mistakes in substance and 47 vs. erroneously applied terms. Conclusions: The use of digital voice recognition as a replacement for medical transcription is recommendable when an immediate availability of written reports is necessary. (orig.) [de

  20. No Work Like Rework: Issues in the Design of a Math Test Sign-Up Application

    Science.gov (United States)

    Alkadi, Ghassan; Beaubouef, Theresa

    2012-01-01

    This paper introduces a test sign-up application developed for a math department at a university. The requirements, design, and final software product are presented, along with one very important unexpected problem that arose after completion of the work--the system to be implemented and maintained by the client was not compatible with the…

  1. xdamp Version 3: An IDL reg-sign-based data and image manipulation program

    International Nuclear Information System (INIS)

    Ballard, W.P.

    1998-05-01

    The original DAMP (DAta Manipulation Program) was written by Mark Hedemann of Sandia National Laboratories and used the CA-DISSPLA trademark (available from Computer Associates International, Inc., Garden City, NY) graphics package as its engine. It was used to plot, modify, and otherwise manipulate the one-dimensional data waveforms (data vs. time) from a wide variety of accelerators. With the waning of CA-DISSPLA and the increasing popularity of Unix reg-sign-based workstations, a replacement was needed. This package uses the IDL reg-sign software, available from Research Systems Incorporated in Boulder, Colorado, as the engine, and creates a set of widgets to manipulate the data in a manner similar to the original DAMP and earlier versions of xdamp. IDL is currently supported on a wide variety of Unix platforms such as IBM reg-sign workstations, Hewlett Packard workstations, SUN reg-sign workstations, Microsoft reg-sign Windows trademark computers, Macintosh reg-sign computers and Digital Equipment Corporation VMS reg-sign and Alpha reg-sign systems. Thus, xdamp is portable across many platforms. The author has verified operation, albeit with some minor IDL bugs, on personal computers using Windows 95 and Windows NT; IBM Unix platforms; and DEC alpha and VMS systems; HP 9000/700 series workstations; and Macintosh computers, both regular and PowerPC trademark versions. Version 3 adds the capability to manipulate images to the original xdamp capabilities

  2. Software Defined Networking Demands on Software Technologies

    DEFF Research Database (Denmark)

    Galinac Grbac, T.; Caba, Cosmin Marius; Soler, José

    2015-01-01

    Software Defined Networking (SDN) is a networking approach based on a centralized control plane architecture with standardised interfaces between control and data planes. SDN enables fast configuration and reconfiguration of the network to enhance resource utilization and service performances....... This new approach enables a more dynamic and flexible network, which may adapt to user needs and application requirements. To this end, systemized solutions must be implemented in network software, aiming to provide secure network services that meet the required service performance levels. In this paper......, we review this new approach to networking from an architectural point of view, and identify and discuss some critical quality issues that require new developments in software technologies. These issues we discuss along with use case scenarios. Here in this paper we aim to identify challenges...

  3. Recognition and Treatment of Nongonococcal Urethritis in Clinical Practice

    Science.gov (United States)

    Isiadinso, O. O. A.

    1980-01-01

    Nongonococcal urethritis is a relatively common disorder in sexually active individuals. The incidence is almost as high, if not higher, than gonorrhea. This syndrome may present with signs and symptoms indistinguishable from acute gonococcal urethritis. It is essential to differentiate the two diseases, as treatment protocols are different. Early recognition of nongonococcal urethritis and proper therapy will often lead to complete resolution and prevention of annoying complications. PMID:6999164

  4. Speech recognition technology: an outlook for human-to-machine interaction.

    Science.gov (United States)

    Erdel, T; Crooks, S

    2000-01-01

    Speech recognition, as an enabling technology in healthcare-systems computing, is a topic that has been discussed for quite some time, but is just now coming to fruition. Traditionally, speech-recognition software has been constrained by hardware, but improved processors and increased memory capacities are starting to remove some of these limitations. With these barriers removed, companies that create software for the healthcare setting have the opportunity to write more successful applications. Among the criticisms of speech-recognition applications are the high rates of error and steep training curves. However, even in the face of such negative perceptions, there remains significant opportunities for speech recognition to allow healthcare providers and, more specifically, physicians, to work more efficiently and ultimately spend more time with their patients and less time completing necessary documentation. This article will identify opportunities for inclusion of speech-recognition technology in the healthcare setting and examine major categories of speech-recognition software--continuous speech recognition, command and control, and text-to-speech. We will discuss the advantages and disadvantages of each area, the limitations of the software today, and how future trends might affect them.

  5. Software engineering in industry

    Science.gov (United States)

    Story, C. M.

    1989-12-01

    Can software be "engineered"? Can a few people with limited resources and a negligible budget produce high quality software solutions to complex software problems? It is possible to resolve the conflict between research activities and the necessity to view software development as a means to an end rather than as an end in itself? The aim of this paper is to encourage further thought and discussion on various topics which, in the author's experience, are becoming increasingly critical in large current software production and development projects, inside and outside high energy physics (HEP). This is done by briefly exploring some of the software engineering ideas and technologies now used in the information industry, using, as a case-study, a project with many similarities to those currently under way in HEP.

  6. Changing predictions, stable recognition: Children's representations of downward incline motion.

    Science.gov (United States)

    Hast, Michael; Howe, Christine

    2017-11-01

    Various studies to-date have demonstrated children hold ill-conceived expressed beliefs about the physical world such as that one ball will fall faster than another because it is heavier. At the same time, they also demonstrate accurate recognition of dynamic events. How these representations relate is still unresolved. This study examined 5- to 11-year-olds' (N = 130) predictions and recognition of motion down inclines. Predictions were typically in error, matching previous work, but children largely recognized correct events as correct and rejected incorrect ones. The results also demonstrate while predictions change with increasing age, recognition shows signs of stability. The findings provide further support for a hybrid model of object representations and argue in favour of stable core cognition existing alongside developmental changes. Statement of contribution What is already known on this subject? Children's predictions of physical events show limitations in accuracy Their recognition of such events suggests children may use different knowledge sources in their reasoning What the present study adds? Predictions fluctuate more strongly than recognition, suggesting stable core cognition But recognition also shows some fluctuation, arguing for a hybrid model of knowledge representation. © 2017 The British Psychological Society.

  7. Misleading signs in acute vertigo.

    Science.gov (United States)

    Lance, Sean; Mossman, Stuart Scott

    2018-04-01

    The acute vestibular syndrome is common and usually has a benign cause. Sometimes, however, even experienced neurologists can find it difficult to determine the cause clinically. Furthermore, neuroimaging is known to be insensitive.We describe two cases of acute vestibular syndrome where conflicting clinical findings contributed to a delay in making the correct diagnosis. The first patient with symptomatic vertigo had signs consistent with horizontal benign paroxysmal positional vertigo but also had an abnormal horizontal head impulse test, superficially suggesting acute vestibular neuritis but later accounted for by the finding of a vestibular schwannoma (acoustic neuroma). The second patient also had an abnormal horizontal head impulse test, with skew deviation suggesting stroke as the cause. However, later assessment identified that a long-standing fourth nerve palsy was the true cause for her apparent skew. We discuss potential errors that can arise when assessing such patients and highlight ways to avoid them. © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018. All rights reserved. No commercial use is permitted unless otherwise expressly granted.

  8. A tour in sign language

    CERN Document Server

    François Briard

    2016-01-01

    In early May, CERN welcomed a group of deaf children for a tour of Microcosm and a Fun with Physics demonstration.   On 4 May, around ten children from the Centre pour enfants sourds de Montbrillant (Montbrillant Centre for Deaf Children), a public school funded by the Office médico-pédagogique du canton de Genève, took a guided tour of the Microcosm exhibition and were treated to a Fun with Physics demonstration. The tour guides’ explanations were interpreted into sign language in real time by a professional interpreter who accompanied the children, and the pace and content were adapted to maximise the interaction with the children. This visit demonstrates CERN’s commitment to remaining as widely accessible as possible. To this end, most of CERN’s visit sites offer reduced-mobility access. In the past few months, CERN has also welcomed children suffering from xeroderma pigmentosum (a genetic disorder causing extreme sensiti...

  9. A software product certification model

    NARCIS (Netherlands)

    Heck, P.M.; Klabbers, M.D.; van Eekelen, Marko

    2010-01-01

    Certification of software artifacts offers organizations more certainty and confidence about software. Certification of software helps software sales, acquisition, and can be used to certify legislative compliance or to achieve acceptable deliverables in outsourcing. In this article, we present a

  10. Software verification for nuclear industry

    International Nuclear Information System (INIS)

    Wilburn, N.P.

    1985-08-01

    Why verification of software products throughout the software life cycle is necessary is considered. Concepts of verification, software verification planning, and some verification methodologies for products generated throughout the software life cycle are then discussed

  11. Software evolution and maintenance

    CERN Document Server

    Tripathy, Priyadarshi

    2014-01-01

    Software Evolution and Maintenance: A Practitioner's Approach is an accessible textbook for students and professionals, which collates the advances in software development and provides the most current models and techniques in maintenance.Explains two maintenance standards: IEEE/EIA 1219 and ISO/IEC14764Discusses several commercial reverse and domain engineering toolkitsSlides for instructors are available onlineInformation is based on the IEEE SWEBOK (Software Engineering Body of Knowledge)

  12. Software for microcircuit systems

    International Nuclear Information System (INIS)

    Kunz, P.F.

    1978-10-01

    Modern Large Scale Integration (LSI) microcircuits are meant to be programed in order to control the function that they perform. The basics of microprograming and new microcircuits have already been discussed. In this course, the methods of developing software for these microcircuits are explored. This generally requires a package of support software in order to assemble the microprogram, and also some amount of support software to test the microprograms and to test the microprogramed circuit itself. 15 figures, 2 tables

  13. Hospital Management Software Development

    OpenAIRE

    sobogunGod, olawale

    2012-01-01

    The purpose of this thesis was to implement a hospital management software which is suitable for small private hospitals in Nigeria, especially for the ones that use a file based system for storing information rather than having it stored in a more efficient and safer environment like databases or excel programming software. The software developed within this thesis project was specifically designed for the Rainbow specialist hospital which is based in Lagos, the commercial neurological cente...

  14. Computer software configuration management

    International Nuclear Information System (INIS)

    Pelletier, G.

    1987-08-01

    This report reviews the basic elements of software configuration management (SCM) as defined by military and industry standards. Several software configuration management standards are evaluated given the requirements of the nuclear industry. A survey is included of available automated tools for supporting SCM activities. Some information is given on the experience of establishing and using SCM plans of other organizations that manage critical software. The report concludes with recommendations of practices that would be most appropriate for the nuclear power industry in Canada

  15. Gammasphere software development

    International Nuclear Information System (INIS)

    Piercey, R.B.

    1993-01-01

    Activities of the nuclear physics group are described. Progress was made in organizing the Gammasphere Software Working Group, establishing a nuclear computing facility, participating in software development at Lawrence Berkeley, developing a common data file format, and adapting the ORNL UPAK software to run at Gammasphere. A universal histogram object was developed that defines a file format and provides for an objective-oriented programming model. An automated liquid nitrogen fill system was developed for Gammasphere (110 Ge detectors comprise the sphere)

  16. Software quality management

    International Nuclear Information System (INIS)

    Bishop, D.C.; Pymm, P.

    1991-01-01

    As programmable electronic (software-based) systems are increasingly being proposed as design solutions for high integrity applications in nuclear power stations, the need to adopt suitable quality management arrangements is paramount. The authors describe Scottish Nuclear's strategy for software quality management and, using the main on-line monitoring system at Torness Power Station as an example, explain how this strategy is put into practice. Particular attention is given to the topics of software quality planning and change control. (author)

  17. Software Process Improvement Defined

    DEFF Research Database (Denmark)

    Aaen, Ivan

    2002-01-01

    This paper argues in favor of the development of explanatory theory on software process improvement. The last one or two decades commitment to prescriptive approaches in software process improvement theory may contribute to the emergence of a gulf dividing theorists and practitioners....... It is proposed that this divide be met by the development of theory evaluating prescriptive approaches and informing practice with a focus on the software process policymaking and process control aspects of improvement efforts...

  18. Assuring Software Reliability

    Science.gov (United States)

    2014-08-01

    technologies and processes to achieve a required level of confidence that software systems and services function in the intended manner. 1.3 Security Example...that took three high-voltage lines out of service and a software fail- ure (a race condition3) that disabled the computing service that notified the... service had failed. Instead of analyzing the details of the alarm server failure, the reviewers asked why the following software assurance claim had

  19. Software evolution with XVCL

    DEFF Research Database (Denmark)

    Zhang, Weishan; Jarzabek, Stan; Zhang, Hongyu

    2004-01-01

    This chapter introduces software evolution with XVCL (XML-based Variant Configuration Language), which is an XML-based metaprogramming technique. As the software evolves, a large number of variants may arise, especially whtn such kinds of evolutions are related to multiple platforms as shown in our...... case study. Handling variants and tracing the impact of variants across the development lifecycle is a challenge. This chapter shows how we can maintain different versions of software in a reuse-based way....

  20. FASTBUS software status

    International Nuclear Information System (INIS)

    Gustavson, D.B.

    1980-10-01

    Computer software will be needed in addition to the mechanical, electrical, protocol and timing specifications of the FASTBUS, in order to facilitate the use of this flexible new multiprocessor and multisegment data acquisition and processing system. Software considerations have been important in the FASTBUS design, but standard subroutines and recommended algorithms will be needed as the FASTBUS comes into use. This paper summarizes current FASTBUS software projects, goals and status

  1. Software configuration management

    CERN Document Server

    Keyes, Jessica

    2004-01-01

    Software Configuration Management discusses the framework from a standards viewpoint, using the original DoD MIL-STD-973 and EIA-649 standards to describe the elements of configuration management within a software engineering perspective. Divided into two parts, the first section is composed of 14 chapters that explain every facet of configuration management related to software engineering. The second section consists of 25 appendices that contain many valuable real world CM templates.

  2. Solar Asset Management Software

    Energy Technology Data Exchange (ETDEWEB)

    Iverson, Aaron [Ra Power Management, Inc., Oakland, CA (United States); Zviagin, George [Ra Power Management, Inc., Oakland, CA (United States)

    2016-09-30

    Ra Power Management (RPM) has developed a cloud based software platform that manages the financial and operational functions of third party financed solar projects throughout their lifecycle. RPM’s software streamlines and automates the sales, financing, and management of a portfolio of solar assets. The software helps solar developers automate the most difficult aspects of asset management, leading to increased transparency, efficiency, and reduction in human error. More importantly, our platform will help developers save money by improving their operating margins.

  3. Essential software architecture

    CERN Document Server

    Gorton, Ian

    2011-01-01

    Job titles like ""Technical Architect"" and ""Chief Architect"" nowadays abound in software industry, yet many people suspect that ""architecture"" is one of the most overused and least understood terms in professional software development. Gorton's book tries to resolve this dilemma. It concisely describes the essential elements of knowledge and key skills required to be a software architect. The explanations encompass the essentials of architecture thinking, practices, and supporting technologies. They range from a general understanding of structure and quality attributes through technical i

  4. Galeotti on recognition as inclusion

    DEFF Research Database (Denmark)

    Lægaard, Sune

    2008-01-01

    Anna Elisabetta Galeotti's theory of 'toleration as recognition' has been criticised by Peter Jones for being conceptually incoherent, since liberal toleration presupposes a negative attitude to differences, whereas multicultural recognition requires positive affirmation hereof. The paper spells ...

  5. School IPM Recognition and Certification

    Science.gov (United States)

    Schools and school districts can get support and recognition for implementation of school IPM. EPA is developing a program to provide recognition for school districts that are working towards or have achieved a level of success with school IPM programs.

  6. Stereotype Associations and Emotion Recognition

    NARCIS (Netherlands)

    Bijlstra, Gijsbert; Holland, Rob W.; Dotsch, Ron; Hugenberg, Kurt; Wigboldus, Daniel H. J.

    We investigated whether stereotype associations between specific emotional expressions and social categories underlie stereotypic emotion recognition biases. Across two studies, we replicated previously documented stereotype biases in emotion recognition using both dynamic (Study 1) and static

  7. Software engineering the current practice

    CERN Document Server

    Rajlich, Vaclav

    2011-01-01

    INTRODUCTION History of Software EngineeringSoftware PropertiesOrigins of SoftwareBirth of Software EngineeringThird Paradigm: Iterative ApproachSoftware Life Span ModelsStaged ModelVariants of Staged ModelSoftware Technologies Programming Languages and CompilersObject-Oriented TechnologyVersion Control SystemSoftware ModelsClass DiagramsUML Activity DiagramsClass Dependency Graphs and ContractsSOFTWARE CHANGEIntroduction to Software ChangeCharacteristics of Software ChangePhases of Software ChangeRequirements and Their ElicitationRequirements Analysis and Change InitiationConcepts and Concept

  8. Agile software development

    CERN Document Server

    Dingsoyr, Torgeir; Moe, Nils Brede

    2010-01-01

    Agile software development has become an umbrella term for a number of changes in how software developers plan and coordinate their work, how they communicate with customers and external stakeholders, and how software development is organized in small, medium, and large companies, from the telecom and healthcare sectors to games and interactive media. Still, after a decade of research, agile software development is the source of continued debate due to its multifaceted nature and insufficient synthesis of research results. Dingsoyr, Dyba, and Moe now present a comprehensive snapshot of the kno

  9. Optimization of Antivirus Software

    Directory of Open Access Journals (Sweden)

    2007-01-01

    Full Text Available The paper describes the main techniques used in development of computer antivirus software applications. For this particular category of software, are identified and defined optimum criteria that helps determine which solution is better and what are the objectives of the optimization process. From the general viewpoint of software optimization are presented methods and techniques that are applied at code development level. Regarding the particularities of antivirus software, the paper analyzes some of the optimization concepts applied to this category of applications

  10. Dtest Testing Software

    Science.gov (United States)

    Jain, Abhinandan; Cameron, Jonathan M.; Myint, Steven

    2013-01-01

    This software runs a suite of arbitrary software tests spanning various software languages and types of tests (unit level, system level, or file comparison tests). The dtest utility can be set to automate periodic testing of large suites of software, as well as running individual tests. It supports distributing multiple tests over multiple CPU cores, if available. The dtest tool is a utility program (written in Python) that scans through a directory (and its subdirectories) and finds all directories that match a certain pattern and then executes any tests in that directory as described in simple configuration files.

  11. Software quality assurance

    CERN Document Server

    Laporte, Claude Y

    2018-01-01

    This book introduces Software Quality Assurance (SQA) and provides an overview of standards used to implement SQA. It defines ways to assess the effectiveness of how one approaches software quality across key industry sectors such as telecommunications, transport, defense, and aerospace. * Includes supplementary website with an instructor's guide and solutions * Applies IEEE software standards as well as the Capability Maturity Model Integration for Development (CMMI) * Illustrates the application of software quality assurance practices through the use of practical examples, quotes from experts, and tips from the authors

  12. Software architecture 2

    CERN Document Server

    Oussalah, Mourad Chabanne

    2014-01-01

    Over the past 20 years, software architectures have significantly contributed to the development of complex and distributed systems. Nowadays, it is recognized that one of the critical problems in the design and development of any complex software system is its architecture, i.e. the organization of its architectural elements. Software Architecture presents the software architecture paradigms based on objects, components, services and models, as well as the various architectural techniques and methods, the analysis of architectural qualities, models of representation of architectural templa

  13. Software as quality product

    International Nuclear Information System (INIS)

    Enders, A.

    1975-01-01

    In many discussions on the reliability of computer systems, software is presented as the weak link in the chain. The contribution attempts to identify the reasons for this situation as seen from the software development. The concepts correctness and reliability of programmes are explained as they are understood in the specialist discussion of today. Measures and methods are discussed which are particularly relevant as far as the obtaining of fault-free and reliable programmes is concerned. Conclusions are drawn for the user of software so that he is in the position to judge himself what can be justly expected frm the product software compared to other products. (orig./LH) [de

  14. Essence: Facilitating Software Innovation

    DEFF Research Database (Denmark)

    Aaen, Ivan

    2008-01-01

      This paper suggests ways to facilitate creativity and innovation in software development. The paper applies four perspectives – Product, Project, Process, and People –to identify an outlook for software innovation. The paper then describes a new facility–Software Innovation Research Lab (SIRL......) – and a new method concept for software innovation – Essence – based on views, modes, and team roles. Finally, the paper reports from an early experiment using SIRL and Essence and identifies further research....

  15. Global Software Engineering

    DEFF Research Database (Denmark)

    Ebert, Christof; Kuhrmann, Marco; Prikladnicki, Rafael

    2016-01-01

    Professional software products and IT systems and services today are developed mostly by globally distributed teams, projects, and companies. Successfully orchestrating Global Software Engineering (GSE) has become the major success factor both for organizations and practitioners. Yet, more than...... and experience reported at the IEEE International Conference on Software Engineering (ICGSE) series. The outcomes of our analysis show GSE as a field highly attached to industry and, thus, a considerable share of ICGSE papers address the transfer of Software Engineering concepts and solutions to the global stage...

  16. Software Intensive Systems

    National Research Council Canada - National Science Library

    Horvitz, E; Katz, D. J; Rumpf, R. L; Shrobe, H; Smith, T. B; Webber, G. E; Williamson, W. E; Winston, P. H; Wolbarsht, James L

    2006-01-01

    .... Additionally, recommend that DoN invest in software engineering, particularly as it complements commercial industry developments and promotes the application of systems engineering methodology...

  17. Contractor Software Charges

    National Research Council Canada - National Science Library

    Granetto, Paul

    1994-01-01

    .... Examples of computer software costs that contractors charge through indirect rates are material management systems, security systems, labor accounting systems, and computer-aided design and manufacturing...

  18. Decentralized Software Architecture

    National Research Council Canada - National Science Library

    Khare, Rohit

    2002-01-01

    .... While the term "decentralization" is familiar from political and economic contexts, it has been applied extensively, if indiscriminately, to describe recent trends in software architecture towards...

  19. Software architecture 1

    CERN Document Server

    Oussalah , Mourad Chabane

    2014-01-01

    Over the past 20 years, software architectures have significantly contributed to the development of complex and distributed systems. Nowadays, it is recognized that one of the critical problems in the design and development of any complex software system is its architecture, i.e. the organization of its architectural elements. Software Architecture presents the software architecture paradigms based on objects, components, services and models, as well as the various architectural techniques and methods, the analysis of architectural qualities, models of representation of architectural template

  20. Software Radar Technology

    Directory of Open Access Journals (Sweden)

    Tang Jun

    2015-08-01

    Full Text Available In this paper, the definition and the key features of Software Radar, which is a new concept, are proposed and discussed. We consider the development of modern radar system technology to be divided into three stages: Digital Radar, Software radar and Intelligent Radar, and the second stage is just commencing now. A Software Radar system should be a combination of various modern digital modular components conformed to certain software and hardware standards. Moreover, a software radar system with an open system architecture supporting to decouple application software and low level hardware would be easy to adopt "user requirements-oriented" developing methodology instead of traditional "specific function-oriented" developing methodology. Compared with traditional Digital Radar, Software Radar system can be easily reconfigured and scaled up or down to adapt to the changes of requirements and technologies. A demonstration Software Radar signal processing system, RadarLab 2.0, which has been developed by Tsinghua University, is introduced in this paper and the suggestions for the future development of Software Radar in China are also given in the conclusion.

  1. Face recognition system and method using face pattern words and face pattern bytes

    Science.gov (United States)

    Zheng, Yufeng

    2014-12-23

    The present invention provides a novel system and method for identifying individuals and for face recognition utilizing facial features for face identification. The system and method of the invention comprise creating facial features or face patterns called face pattern words and face pattern bytes for face identification. The invention also provides for pattern recognitions for identification other than face recognition. The invention further provides a means for identifying individuals based on visible and/or thermal images of those individuals by utilizing computer software implemented by instructions on a computer or computer system and a computer readable medium containing instructions on a computer system for face recognition and identification.

  2. An electronic dictionary of Danish Sign Language

    DEFF Research Database (Denmark)

    Kristoffersen, Jette Hedegaard; Troelsgård, Thomas

    2008-01-01

    Compiling sign language dictionaries has in the last 15 years changed from most often being simply collecting and presenting signs for a given gloss in the surrounding vocal language to being a complicated lexicographic task including all parts of linguistic analysis, i.e. phonology, phonetics......, morphology, syntax and semantics. In this presentation we will give a short overview of the Danish Sign Language dictionary project. We will further focus on lemma selection and some of the problems connected with lemmatisation....

  3. A REVIEW: OPTICAL CHARACTER RECOGNITION

    OpenAIRE

    Swati Tomar*1 & Amit Kishore2

    2018-01-01

    This paper presents detailed review in the field of Optical Character Recognition. Various techniques are determine that have been proposed to realize the center of character recognition in an optical character recognition system. Even though, sufficient studies and papers are describes the techniques for converting textual content from a paper document into machine readable form. Optical character recognition is a process where the computer understands automatically the image of handwritten ...

  4. Signs of noise-induced neural degeneration in humans

    DEFF Research Database (Denmark)

    Holtegaard, Pernille; Olsen, Steen Østergaard

    2015-01-01

    of background noise, while leaving the processing of low-level stimuli unaffected. The purpose of this study was to investigate if signs of such primary neural damage from noise-exposure could also be found in noiseexposed human individuals. It was investigated: (1) if noise-exposed listeners with hearing......Animal studies demonstrated that noise exposure causes a primary and selective loss of auditory-nerve fibres with low spontaneous firing rate. This neuronal impairment, if also present in humans, can be assumed to affect the processing of supra-threshold stimuli, especially in the presence...... thresholds within the “normal” range perform poorer, in terms of their speech recognition threshold in noise (SRTN), and (2) if auditory brainstem responses (ABR) reveal lower amplitude of wave I in the noise-exposed listeners. A test group of noise/music-exposed individuals and a control group were...

  5. Sign Language Translator Application Using OpenCV

    Science.gov (United States)

    Triyono, L.; Pratisto, E. H.; Bawono, S. A. T.; Purnomo, F. A.; Yudhanto, Y.; Raharjo, B.

    2018-03-01

    This research focuses on the development of sign language translator application using OpenCV Android based, this application is based on the difference in color. The author also utilizes Support Machine Learning to predict the label. Results of the research showed that the coordinates of the fingertip search methods can be used to recognize a hand gesture to the conditions contained open arms while to figure gesture with the hand clenched using search methods Hu Moments value. Fingertip methods more resilient in gesture recognition with a higher success rate is 95% on the distance variation is 35 cm and 55 cm and variations of light intensity of approximately 90 lux and 100 lux and light green background plain condition compared with the Hu Moments method with the same parameters and the percentage of success of 40%. While the background of outdoor environment applications still can not be used with a success rate of only 6 managed and the rest failed.

  6. Single Thing Sign On Identity Management for Internet of Things

    DEFF Research Database (Denmark)

    Zdravkova, Vanya; Mihaylov, Mihail Rumenov; Mihovska, Albena Dimitrova

    2016-01-01

    —Within the context of heterogeneous Internet of Things (IoT) network driven by Machine-to-Machine (M2M) communications there is a need for a proper user identification and Identity Management (IdM) mechanisms which to involve all of the objects in the IoT. The paper addresses user identification...... by proposing Single Thing Sign On (STSO) IdM architecture for IoT, where the end-user is in the middle of a user-centered services ecosystem. The proposed scheme enables user recognition and services access only by identification of one of the “things” related to the user such as personal computing devices...

  7. Real-Time Multiview Recognition of Human Gestures by Distributed Image Processing

    Directory of Open Access Journals (Sweden)

    Sato Kosuke

    2010-01-01

    Full Text Available Since a gesture involves a dynamic and complex motion, multiview observation and recognition are desirable. For the better representation of gestures, one needs to know, in the first place, from which views a gesture should be observed. Furthermore, it becomes increasingly important how the recognition results are integrated when larger numbers of camera views are considered. To investigate these problems, we propose a framework under which multiview recognition is carried out, and an integration scheme by which the recognition results are integrated online and in realtime. For performance evaluation, we use the ViHASi (Virtual Human Action Silhouette public image database as a benchmark and our Japanese sign language (JSL image database that contains 18 kinds of hand signs. By examining the recognition rates of each gesture for each view, we found gestures that exhibit view dependency and the gestures that do not. Also, we found that the view dependency itself could vary depending on the target gesture sets. By integrating the recognition results of different views, our swarm-based integration provides more robust and better recognition performance than individual fixed-view recognition agents.

  8. Social software in global software development

    DEFF Research Database (Denmark)

    Giuffrida, Rosalba; Dittrich, Yvonne

    2010-01-01

    variety of tools such as: instant messaging, internet forums, mailing lists, blogs, wikis, social network sites, social bookmarking, social libraries, virtual worlds. Though normally rather belonging to the private realm, the use of social software in corporate context has been reported, e.g. as a way...

  9. Finger tips detection for two handed gesture recognition

    Science.gov (United States)

    Bhuyan, M. K.; Kar, Mithun Kumar; Neog, Debanga Raj

    2011-10-01

    In this paper, a novel algorithm is proposed for fingertips detection in view of two-handed static hand pose recognition. In our method, finger tips of both hands are detected after detecting hand regions by skin color-based segmentation. At first, the face is removed in the image by using Haar classifier and subsequently, the regions corresponding to the gesturing hands are isolated by a region labeling technique. Next, the key geometric features characterizing gesturing hands are extracted for two hands. Finally, for all possible/allowable finger movements, a probabilistic model is developed for pose recognition. Proposed method can be employed in a variety of applications like sign language recognition and human-robot-interactions etc.

  10. Software refactoring at the package level using clustering techniques

    KAUST Repository

    Alkhalid, A.

    2011-01-01

    Enhancing, modifying or adapting the software to new requirements increases the internal software complexity. Software with high level of internal complexity is difficult to maintain. Software refactoring reduces software complexity and hence decreases the maintenance effort. However, software refactoring becomes quite challenging task as the software evolves. The authors use clustering as a pattern recognition technique to assist in software refactoring activities at the package level. The approach presents a computer aided support for identifying ill-structured packages and provides suggestions for software designer to balance between intra-package cohesion and inter-package coupling. A comparative study is conducted applying three different clustering techniques on different software systems. In addition, the application of refactoring at the package level using an adaptive k-nearest neighbour (A-KNN) algorithm is introduced. The authors compared A-KNN technique with the other clustering techniques (viz. single linkage algorithm, complete linkage algorithm and weighted pair-group method using arithmetic averages). The new technique shows competitive performance with lower computational complexity. © 2011 The Institution of Engineering and Technology.

  11. Superficial Priming in Episodic Recognition

    Science.gov (United States)

    Dopkins, Stephen; Sargent, Jesse; Ngo, Catherine T.

    2010-01-01

    We explored the effect of superficial priming in episodic recognition and found it to be different from the effect of semantic priming in episodic recognition. Participants made recognition judgments to pairs of items, with each pair consisting of a prime item and a test item. Correct positive responses to the test item were impeded if the prime…

  12. Word Recognition in Auditory Cortex

    Science.gov (United States)

    DeWitt, Iain D. J.

    2013-01-01

    Although spoken word recognition is more fundamental to human communication than text recognition, knowledge of word-processing in auditory cortex is comparatively impoverished. This dissertation synthesizes current models of auditory cortex, models of cortical pattern recognition, models of single-word reading, results in phonetics and results in…

  13. Visual Recognition Memory across Contexts

    Science.gov (United States)

    Jones, Emily J. H.; Pascalis, Olivier; Eacott, Madeline J.; Herbert, Jane S.

    2011-01-01

    In two experiments, we investigated the development of representational flexibility in visual recognition memory during infancy using the Visual Paired Comparison (VPC) task. In Experiment 1, 6- and 9-month-old infants exhibited recognition when familiarization and test occurred in the same room, but showed no evidence of recognition when…

  14. Forensic Face Recognition: A Survey

    NARCIS (Netherlands)

    Ali, Tauseef; Spreeuwers, Lieuwe Jan; Veldhuis, Raymond N.J.; Quaglia, Adamo; Epifano, Calogera M.

    2012-01-01

    The improvements of automatic face recognition during the last 2 decades have disclosed new applications like border control and camera surveillance. A new application field is forensic face recognition. Traditionally, face recognition by human experts has been used in forensics, but now there is a

  15. NASA's Software Safety Standard

    Science.gov (United States)

    Ramsay, Christopher M.

    2007-01-01

    NASA relies more and more on software to control, monitor, and verify its safety critical systems, facilities and operations. Since the 1960's there has hardly been a spacecraft launched that does not have a computer on board that will provide command and control services. There have been recent incidents where software has played a role in high-profile mission failures and hazardous incidents. For example, the Mars Orbiter, Mars Polar Lander, the DART (Demonstration of Autonomous Rendezvous Technology), and MER (Mars Exploration Rover) Spirit anomalies were all caused or contributed to by software. The Mission Control Centers for the Shuttle, ISS, and unmanned programs are highly dependant on software for data displays, analysis, and mission planning. Despite this growing dependence on software control and monitoring, there has been little to no consistent application of software safety practices and methodology to NASA's projects with safety critical software. Meanwhile, academia and private industry have been stepping forward with procedures and standards for safety critical systems and software, for example Dr. Nancy Leveson's book Safeware: System Safety and Computers. The NASA Software Safety Standard, originally published in 1997, was widely ignored due to its complexity and poor organization. It also focused on concepts rather than definite procedural requirements organized around a software project lifecycle. Led by NASA Headquarters Office of Safety and Mission Assurance, the NASA Software Safety Standard has recently undergone a significant update. This new standard provides the procedures and guidelines for evaluating a project for safety criticality and then lays out the minimum project lifecycle requirements to assure the software is created, operated, and maintained in the safest possible manner. This update of the standard clearly delineates the minimum set of software safety requirements for a project without detailing the implementation for those

  16. Hardware and software for image acquisition in nuclear medicine

    International Nuclear Information System (INIS)

    Fideles, E.L.; Vilar, G.; Silva, H.S.

    1992-01-01

    A system for image acquisition and processing in nuclear medicine is presented, including the hardware and software referring to acquisition. The hardware is consisted of an analog-digital conversion card, developed in wire-wape. Its function is digitate the analogic signs provided by gamma camera. The acquisitions are made in list or frame mode. (C.G.C.)

  17. LIBRA: LIgand Binding site Recognition Application.

    Science.gov (United States)

    Hung, Le Viet; Caprari, Silvia; Bizai, Massimiliano; Toti, Daniele; Polticelli, Fabio

    2015-12-15

    In recent years, structural genomics and ab initio molecular modeling activities are leading to the availability of a large number of structural models of proteins whose biochemical function is not known. The aim of this study was the development of a novel software tool that, given a protein's structural model, predicts the presence and identity of active sites and/or ligand binding sites. The algorithm implemented by ligand binding site recognition application (LIBRA) is based on a graph theory approach to find the largest subset of similar residues between an input protein and a collection of known functional sites. The algorithm makes use of two predefined databases for active sites and ligand binding sites, respectively, derived from the Catalytic Site Atlas and the Protein Data Bank. Tests indicate that LIBRA is able to identify the correct binding/active site in 90% of the cases analyzed, 90% of which feature the identified site as ranking first. As far as ligand binding site recognition is concerned, LIBRA outperforms other structure-based ligand binding sites detection tools with which it has been compared. The application, developed in Java SE 7 with a Swing GUI embedding a JMol applet, can be run on any OS equipped with a suitable Java Virtual Machine (JVM), and is available at the following URL: http://www.computationalbiology.it/software/LIBRAv1.zip. © The Author 2015. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com.

  18. Customer Interaction in Software Development: A Comparison of Software Methodologies Deployed in Namibian Software Firms

    CSIR Research Space (South Africa)

    Iyawa, GE

    2016-01-01

    Full Text Available within the Namibian context. An implication for software project managers and software developers is that customer interaction should be properly managed to ensure that the software methodologies for improving software development processes...

  19. Real time biometric surveillance with gait recognition

    Science.gov (United States)

    Mohapatra, Subasish; Swain, Anisha; Das, Manaswini; Mohanty, Subhadarshini

    2018-04-01

    Bio metric surveillance has become indispensable for every system in the recent years. The contribution of bio metric authentication, identification, and screening purposes are widely used in various domains for preventing unauthorized access. A large amount of data needs to be updated, segregated and safeguarded from malicious software and misuse. Bio metrics is the intrinsic characteristics of each individual. Recently fingerprints, iris, passwords, unique keys, and cards are commonly used for authentication purposes. These methods have various issues related to security and confidentiality. These systems are not yet automated to provide the safety and security. The gait recognition system is the alternative for overcoming the drawbacks of the recent bio metric based authentication systems. Gait recognition is newer as it hasn't been implemented in the real-world scenario so far. This is an un-intrusive system that requires no knowledge or co-operation of the subject. Gait is a unique behavioral characteristic of every human being which is hard to imitate. The walking style of an individual teamed with the orientation of joints in the skeletal structure and inclinations between them imparts the unique characteristic. A person can alter one's own external appearance but not skeletal structure. These are real-time, automatic systems that can even process low-resolution images and video frames. In this paper, we have proposed a gait recognition system and compared the performance with conventional bio metric identification systems.

  20. Software tool for data mining and its applications

    Science.gov (United States)

    Yang, Jie; Ye, Chenzhou; Chen, Nianyi

    2002-03-01

    A software tool for data mining is introduced, which integrates pattern recognition (PCA, Fisher, clustering, hyperenvelop, regression), artificial intelligence (knowledge representation, decision trees), statistical learning (rough set, support vector machine), computational intelligence (neural network, genetic algorithm, fuzzy systems). It consists of nine function models: pattern recognition, decision trees, association rule, fuzzy rule, neural network, genetic algorithm, Hyper Envelop, support vector machine, visualization. The principle and knowledge representation of some function models of data mining are described. The software tool of data mining is realized by Visual C++ under Windows 2000. Nonmonotony in data mining is dealt with by concept hierarchy and layered mining. The software tool of data mining has satisfactorily applied in the prediction of regularities of the formation of ternary intermetallic compounds in alloy systems, and diagnosis of brain glioma.

  1. Semantic Activity Recognition

    OpenAIRE

    Thonnat , Monique

    2008-01-01

    International audience; Extracting automatically the semantics from visual data is a real challenge. We describe in this paper how recent work in cognitive vision leads to significative results in activity recognition for visualsurveillance and video monitoring. In particular we present work performed in the domain of video understanding in our PULSAR team at INRIA in Sophia Antipolis. Our main objective is to analyse in real-time video streams captured by static video cameras and to recogniz...

  2. Marketing Mix del Software.

    Directory of Open Access Journals (Sweden)

    Yudith del Carmen Rodríguez Pérez

    2006-03-01

    Por ello, en este trabajo se define el concepto de producto software, se caracteriza al mismo y se exponen sus atributos de calidad. Además, se aborda la mezcla de marketing del software necesaria y diferente a la de otros productos para que este triunfe en el mercado.

  3. Sustainability in Software Engineering

    NARCIS (Netherlands)

    Wolfram, N.J.E.; Lago, P.; Osborne, Francesco

    2017-01-01

    The intersection between software engineering research and issues related to sustainability and green IT has been the subject of increasing attention. In spite of that, we observe that sustainability is still not clearly defined, or understood, in the field of software engineering. This lack of

  4. Software cost estimation

    NARCIS (Netherlands)

    Heemstra, F.J.

    1992-01-01

    The paper gives an overview of the state of the art of software cost estimation (SCE). The main questions to be answered in the paper are: (1) What are the reasons for overruns of budgets and planned durations? (2) What are the prerequisites for estimating? (3) How can software development effort be

  5. Software cost estimation

    NARCIS (Netherlands)

    Heemstra, F.J.; Heemstra, F.J.

    1993-01-01

    The paper gives an overview of the state of the art of software cost estimation (SCE). The main questions to be answered in the paper are: (1) What are the reasons for overruns of budgets and planned durations? (2) What are the prerequisites for estimating? (3) How can software development effort be

  6. Software engineering ethics

    Science.gov (United States)

    Bown, Rodney L.

    1991-01-01

    Software engineering ethics is reviewed. The following subject areas are covered: lack of a system viewpoint; arrogance of PC DOS software vendors; violation od upward compatibility; internet worm; internet worm revisited; student cheating and company hiring interviews; computing practitioners and the commodity market; new projects and old programming languages; schedule and budget; and recent public domain comments.

  7. Computer Software Reviews.

    Science.gov (United States)

    Hawaii State Dept. of Education, Honolulu. Office of Instructional Services.

    Intended to provide guidance in the selection of the best computer software available to support instruction and to make optimal use of schools' financial resources, this publication provides a listing of computer software programs that have been evaluated according to their currency, relevance, and value to Hawaii's educational programs. The…

  8. Software product family evaluation

    NARCIS (Netherlands)

    van der Linden, F; Bosch, J; Kamsties, E; Kansala, K; Krzanik, L; Obbink, H; VanDerLinden, F

    2004-01-01

    This paper proposes a 4-dimensional software product family engineering evaluation model. The 4 dimensions relate to the software engineering concerns of business, architecture, organisation and process. The evaluation model is meant to be used within organisations to determine the status of their

  9. Selecting the Right Software.

    Science.gov (United States)

    Shearn, Joseph

    1987-01-01

    Selection of administrative software requires analyzing present needs and, to meet future needs, choosing software that will function with a more powerful computer system. Other important factors to include are a professional system demonstration, maintenance and training, and financial considerations that allow leasing or renting alternatives.…

  10. Robotics control using isolated word recognition of voice input

    Science.gov (United States)

    Weiner, J. M.

    1977-01-01

    A speech input/output system is presented that can be used to communicate with a task oriented system. Human speech commands and synthesized voice output extend conventional information exchange capabilities between man and machine by utilizing audio input and output channels. The speech input facility is comprised of a hardware feature extractor and a microprocessor implemented isolated word or phrase recognition system. The recognizer offers a medium sized (100 commands), syntactically constrained vocabulary, and exhibits close to real time performance. The major portion of the recognition processing required is accomplished through software, minimizing the complexity of the hardware feature extractor.

  11. Significance of satellite sign and spot sign in predicting hematoma expansion in spontaneous intracerebral hemorrhage.

    Science.gov (United States)

    Yu, Zhiyuan; Zheng, Jun; Ali, Hasan; Guo, Rui; Li, Mou; Wang, Xiaoze; Ma, Lu; Li, Hao; You, Chao

    2017-11-01

    Hematoma expansion is related to poor outcome in spontaneous intracerebral hemorrhage (ICH). Recently, a non-enhanced computed tomography (CT) based finding, termed the 'satellite sign', was reported to be a novel predictor for poor outcome in spontaneous ICH. However, it is still unclear whether the presence of the satellite sign is related to hematoma expansion. Initial computed tomography angiography (CTA) was conducted within 6h after ictus. Satellite sign on non-enhanced CT and spot sign on CTA were detected by two independent reviewers. The sensitivity and specificity of both satellite sign and spot sign were calculated. Receiver-operator analysis was conducted to evaluate their predictive accuracy for hematoma expansion. This study included 153 patients. Satellite sign was detected in 58 (37.91%) patients and spot sign was detected in 38 (24.84%) patients. Among 37 patients with hematoma expansion, 22 (59.46%) had satellite sign and 23 (62.16%) had spot sign. The sensitivity and specificity of satellite sign for prediction of hematoma expansion were 59.46% and 68.97%, respectively. The sensitivity and specificity of spot sign were 62.16% and 87.07%, respectively. The area under the curve (AUC) of satellite sign was 0.642 and the AUC of spot sign was 0.746. (P=0.157) CONCLUSION: Our results suggest that the satellite sign is an independent predictor for hematoma expansion in spontaneous ICH. Although spot sign has the higher predictive accuracy, satellite sign is still an acceptable predictor for hematoma expansion when CTA is unavailable. Copyright © 2017 Elsevier B.V. All rights reserved.

  12. Gesture, sign, and language: The coming of age of sign language and gesture studies.

    Science.gov (United States)

    Goldin-Meadow, Susan; Brentari, Diane

    2017-01-01

    How does sign language compare with gesture, on the one hand, and spoken language on the other? Sign was once viewed as nothing more than a system of pictorial gestures without linguistic structure. More recently, researchers have argued that sign is no different from spoken language, with all of the same linguistic structures. The pendulum is currently swinging back toward the view that sign is gestural, or at least has gestural components. The goal of this review is to elucidate the relationships among sign language, gesture, and spoken language. We do so by taking a close look not only at how sign has been studied over the past 50 years, but also at how the spontaneous gestures that accompany speech have been studied. We conclude that signers gesture just as speakers do. Both produce imagistic gestures along with more categorical signs or words. Because at present it is difficult to tell where sign stops and gesture begins, we suggest that sign should not be compared with speech alone but should be compared with speech-plus-gesture. Although it might be easier (and, in some cases, preferable) to blur the distinction between sign and gesture, we argue that distinguishing between sign (or speech) and gesture is essential to predict certain types of learning and allows us to understand the conditions under which gesture takes on properties of sign, and speech takes on properties of gesture. We end by calling for new technology that may help us better calibrate the borders between sign and gesture.

  13. Pattern Recognition Control Design

    Science.gov (United States)

    Gambone, Elisabeth A.

    2018-01-01

    Spacecraft control algorithms must know the expected vehicle response to any command to the available control effectors, such as reaction thrusters or torque devices. Spacecraft control system design approaches have traditionally relied on the estimated vehicle mass properties to determine the desired force and moment, as well as knowledge of the effector performance to efficiently control the spacecraft. A pattern recognition approach was used to investigate the relationship between the control effector commands and spacecraft responses. Instead of supplying the approximated vehicle properties and the thruster performance characteristics, a database of information relating the thruster ring commands and the desired vehicle response was used for closed-loop control. A Monte Carlo simulation data set of the spacecraft dynamic response to effector commands was analyzed to establish the influence a command has on the behavior of the spacecraft. A tool developed at NASA Johnson Space Center to analyze flight dynamics Monte Carlo data sets through pattern recognition methods was used to perform this analysis. Once a comprehensive data set relating spacecraft responses with commands was established, it was used in place of traditional control methods and gains set. This pattern recognition approach was compared with traditional control algorithms to determine the potential benefits and uses.

  14. Trends in software testing

    CERN Document Server

    Mohanty, J; Balakrishnan, Arunkumar

    2017-01-01

    This book is focused on the advancements in the field of software testing and the innovative practices that the industry is adopting. Considering the widely varied nature of software testing, the book addresses contemporary aspects that are important for both academia and industry. There are dedicated chapters on seamless high-efficiency frameworks, automation on regression testing, software by search, and system evolution management. There are a host of mathematical models that are promising for software quality improvement by model-based testing. There are three chapters addressing this concern. Students and researchers in particular will find these chapters useful for their mathematical strength and rigor. Other topics covered include uncertainty in testing, software security testing, testing as a service, test technical debt (or test debt), disruption caused by digital advancement (social media, cloud computing, mobile application and data analytics), and challenges and benefits of outsourcing. The book w...

  15. Revisiting software ecosystems research

    DEFF Research Database (Denmark)

    Manikas, Konstantinos

    2016-01-01

    Software ecosystems’ is argued to first appear as a concept more than 10 years ago and software ecosystem research started to take off in 2010. We conduct a systematic literature study, based on the most extensive literature review in the field up to date, with two primarily aims: (a) to provide...... an updated overview of the field and (b) to document evolution in the field. In total, we analyze 231 papers from 2007 until 2014 and provide an overview of the research in software ecosystems. Our analysis reveals a field that is rapidly growing both in volume and empirical focus while becoming more mature...... from evolving. We propose means for future research and the community to address them. Finally, our analysis shapes the view of the field having evolved outside the existing definitions of software ecosystems and thus propose the update of the definition of software ecosystems....

  16. Software safety hazard analysis

    International Nuclear Information System (INIS)

    Lawrence, J.D.

    1996-02-01

    Techniques for analyzing the safety and reliability of analog-based electronic protection systems that serve to mitigate hazards in process control systems have been developed over many years, and are reasonably well understood. An example is the protection system in a nuclear power plant. The extension of these techniques to systems which include digital computers is not well developed, and there is little consensus among software engineering experts and safety experts on how to analyze such systems. One possible technique is to extend hazard analysis to include digital computer-based systems. Software is frequently overlooked during system hazard analyses, but this is unacceptable when the software is in control of a potentially hazardous operation. In such cases, hazard analysis should be extended to fully cover the software. A method for performing software hazard analysis is proposed in this paper

  17. Systematic Software Development

    DEFF Research Database (Denmark)

    Kuhrmann, Marco; Méndez Fernández, Daniel

    2015-01-01

    The speed of innovation and the global allocation of resources to accelerate development or to reduce cost put pressure on the software industry. In the global competition, especially so-called high-price countries have to present arguments why the higher development cost is justified and what...... makes these countries an attractive host for software companies. Often, high-quality engineering and excellent quality of products, e.g., machinery and equipment, are mentioned. Yet, the question is: Can such arguments be also found for the software industry? We aim at investigating the degree...... of professionalism and systematization of software development to draw a map of strengths and weaknesses. To this end, we conducted as a first step an exploratory survey in Germany, presented in this paper. In this survey, we focused on the perceived importance of the two general software engineering process areas...

  18. Software architecture evolution

    DEFF Research Database (Denmark)

    Barais, Olivier; Le Meur, Anne-Francoise; Duchien, Laurence

    2008-01-01

    Software architectures must frequently evolve to cope with changing requirements, and this evolution often implies integrating new concerns. Unfortunately, when the new concerns are crosscutting, existing architecture description languages provide little or no support for this kind of evolution....... The software architect must modify multiple elements of the architecture manually, which risks introducing inconsistencies. This chapter provides an overview, comparison and detailed treatment of the various state-of-the-art approaches to describing and evolving software architectures. Furthermore, we discuss...... one particular framework named Tran SAT, which addresses the above problems of software architecture evolution. Tran SAT provides a new element in the software architecture descriptions language, called an architectural aspect, for describing new concerns and their integration into an existing...

  19. Software quality in 1997

    Energy Technology Data Exchange (ETDEWEB)

    Jones, C. [Software Productivity Research, Inc., Burlington, MA (United States)

    1997-11-01

    For many years, software quality assurance lagged behind hardware quality assurance in terms of methods, metrics, and successful results. New approaches such as Quality Function Deployment (QFD) the ISO 9000-9004 standards, the SEI maturity levels, and Total Quality Management (TQM) are starting to attract wide attention, and in some cases to bring software quality levels up to a parity with manufacturing quality levels. Since software is on the critical path for many engineered products, and for internal business systems as well, the new approaches are starting to affect global competition and attract widespread international interest. It can be hypothesized that success in mastering software quality will be a key strategy for dominating global software markets in the 21st century.

  20. Developing Software Simulations

    Directory of Open Access Journals (Sweden)

    Tom Hall

    2007-06-01

    Full Text Available Programs in education and business often require learners to develop and demonstrate competence in specified areas and then be able to effectively apply this knowledge. One method to aid in developing a skill set in these areas is through the use of software simulations. These simulations can be used for learner demonstrations of competencies in a specified course as well as a review of the basic skills at the beginning of subsequent courses. The first section of this paper discusses ToolBook, the software used to develop our software simulations. The second section discusses the process of developing software simulations. The third part discusses how we have used software simulations to assess student knowledge of research design by providing simulations that allow the student to practice using SPSS and Excel.