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2013 4th International Conference on Power Engineering, Energy and Electrical Drives, POWERENG 2013

作者： Yesilbudak, Mehmet Kabalci, Ersan Sagiroglu, Seref Colak, Ilhami Department of Electronics and Automation Vocational College of Haci Bektas Veli Nevsehir University Nevsehir Turkey Department of Electrical and Electronics Engineering Faculty of Engineering and Architecture Nevsehir University Nevsehir Turkey Department of Computer Engineering Faculty of Engineering Gazi University Ankara Turkey Department of Electrical and Electronics Engineering Faculty of Technology Gazi University Ankara Turkey

ISBN: (纸本)9781467363921

This paper proposes a pitch angle forecasting model based on the k-nearest neighbor classification. Air temperature, atmosphere pressure, wind direction, wind speed, rotor speed and wind power parameters were represented as a 6-dimensional attribute tuple in the forecasting model. Euclidean, Manhattan and Minkowski distance metrics for measuring the proximity between training and test tuples, mean absolute, mean absolute percentage, and normalized root mean square error metrics for measuring the forecasting accuracy were embedded into the forecasting model. The k-nearest neighbor classifier with Manhattan distance metric for k=1 achieved MAE, MAPE and NRMSE as 0.001°, 0.245% and 0.324%, respectively as the best forecasting accuracy. However, as the worst forecasting accuracy, MAE, MAPE and NRMSE were achieved as 0.015°, 3.236% and 2.613%, respectively for Minkowski distance metric and k=10. © 2013 IEEE.

关键词： Wind turbines

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Semi-Global Inference in Phenotype-Protein Network

Semi-Global Inference in Phenotype-Protein Network

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The 7th International Conference on Management and Service Science(MASS 2013)

作者： Siliang Xia Guangri Quan Yongbo Zhao Xuhui Jia Institute of Architecture of Application Systems University of Stuttgart School of Computer Science Harbin Institute of Technology at Weihai Institute of Microelectronics Chinese Academy of Sciences Department of Computer Science The University of Hong Kong

Discovering genetic basis of diseases is an important goal and a challenging problem in bioinformatics *** by network-based global inference approach,Semi-global inference method is proposed to capture the complex associations between phenotypes and *** proposed method integrates phenotype similarities and protein-protein interactions,and it establishes the profile vectors of phenotypes and *** the relevance between each candidate gene and the target phenotype is *** genes are then ranked according to relevance mark and genes that are potentially associated with target disease are identified based on this *** model selects nodes in integrated phenotype-protein network for inference,by exploiting Phenotype Similarity Threshold(PST),which throws lights on selection of similar phenotypes for gene prediction *** vector relevance metrics for computing the relevance marks of candidate genes are *** performance of the model is evaluated on Online Mendelian Inheritance in Man(OMIM) data sets and experimental evaluation shows high performance of proposed Semi-global method outperforms existing global inference methods.

关键词： Diseases Gene Prioritization Phenotype-Protein Network Semi-Global Inference Phenotype Similarity Threshold

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Effect of Noisy Fitness in Real-Time Strategy Games Player Behaviour Optimisation Using Evolutionary Algorithms

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Journal of computer Science & technology 2012年第5期27卷 1007-1023页

作者： Antonio M. Mora Antonio Fernndez-Ares Juan J. Merelo Pablo García-Snchez Carlos M. Fernandes Computer Architecture and Technology Department University of Granada Institute for Systems and Robotics Technical University of Lisbon

This paper investigates the performance and the results of an evolutionary algorithm （EA） specifically designed for evolving the decision engine of a program （which, in this context, is called bot） that plays Planet Wars. This game, which was chosen for the Google Artificial Intelligence Challenge in 2010, requires the bot to deal with multiple target planets, while achieving a certain degree of adaptability in order to defeat different opponents in different scenarios. The decision engine of the bot is initially based on a set of rules that have been defined after an empirical study, and a genetic algorithm （GA） is used for tuning the set of constants, weights and probabilities that those rules include, and therefore, the general behaviour of the bot. Then, the bot is supplied with the evolved decision engine and the results obtained when competing with other bots （a bot offered by Google as a sparring partner, and a scripted bot with a pre-established behaviour） are thoroughly analysed. The evaluation of the candidate solutions is based on the result of non-deterministic battles （and environmental interactions） against other bots, whose outcome depends on random draws as well as on the opponents＇ actions. Therefore, the proposed GA is dealing with a noisy fitness function. After analysing the effects of the noisy fitness, we conclude that tackling randomness via repeated combats and reevaluations reduces this effect and makes the GA a highly valuable approach for solving this problem.

关键词： real-time strategy game genetic algorithm noisy fitness player behaviour optimisation parameter adaptation

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Energy impact in the design space exploration of loop buffer schemes in embedded systems

Energy impact in the design space exploration of loop buffer...

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IFIP International Conference on Very Large Scale Integration (VLSI-SoC)

作者： Antonio Artes Jose L. Ayala Robert Fasthuber Praveen Raghavan Francky Catthoor Computer Architecture and Automation Department Complutense University of Madrid Madrid Spain Smart Systems and Energy Technology Unit IMEC Leuven Belgium

The reduction of the energy consumption in the domain of the embedded systems is becoming the most important design goal due to the increasing use of battery powered consumer devices. Previous research has pointed out the instruction memory organisation as one of the major sources of energy consumption of the embedded systems. Due to this fact, the introduction of any enhancement in this component of the system becomes crucial in order to decrease this energy bottleneck. The purpose of this paper is to present a highlevel energy analysis of the loop buffer schemes that exist in the embedded systems. The crucial energy analysis that is presented in this paper not only proposes a method to evaluate different loop buffer schemes for a certain application, but also guides embedded systems designers to make the correct decision in the trade-offs that exist between the energy budget, the required performance, and the area cost of the embedded system. Experimental results used in this analysis show that, the search of energy savings (up to 76%) has to take into account the performance penalty, the area cost, and the impact of the implementation technology in order to choose the most suitable enhancement that has to be introduced in the instruction memory organisation from the point of view of the energy consumption.

关键词： Energy consumption Embedded systems Benchmark testing Memory management Parallel processing Discrete wavelet transforms Hardware

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Semi-Global Inference in Phenotype-Protein Network

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Engineering（科研） 2013年第10期5卷 181-188页

作者： Siliang Xia Guangri Quan Yongbo Zhao Xuhui Jia Department of Computer Science The University of Hong Kong Hong Kong China Institute of Architecture of Application Systems University of Stuttgart Stuttgart Germany Institute of Microelectronics Chinese Academy of Sciences Beijing China School of Computer Science Harbin Institute of Technology at Weihai Weihai China

Discovering genetic basis of diseases is an important goal and a challenging problem in bioinformatics research. Inspired by network-based global inference approach, Semi-global inference method is proposed to capture the complex associations between phenotypes and genes. The proposed method integrates phenotype similarities and protein-protein interactions, and it establishes the profile vectors of phenotypes and proteins. Then the relevance between each candidate gene and the target phenotype is evaluated. Candidate genes are then ranked according to relevance mark and genes that are potentially associated with target disease are identified based on this ranking. The model selects nodes in integrated phenotype-protein network for inference, by exploiting Phenotype Similarity Threshold (PST), which throws lights on selection of similar phenotypes for gene prediction problem. Different vector relevance metrics for computing the relevance marks of candidate genes are discussed. The performance of the model is evaluated on Online Mendelian Inheritance in Man (OMIM) data sets and experimental evaluation shows high performance of proposed Semi-global method outperforms existing global inference methods.

关键词： Diseases Gene Prioritization Phenotype-Protein Network Semi-Global Inference Phenotype Similarity Threshold

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Free weight exercises recognition based on dynamic time Warping of acceleration data

Communications in Computer and Information Science

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Communications in computer and Information Science 2013年 355卷 178-185页

作者： Li, Chuanjiang Fei, Minrui Hu, Huosheng Qi, Ziming School of Mechanical Engineering and Automation Shanghai Key Laboratory of Power Station Automation Technology Shanghai University 200072 China College of Information Mechanical and Electrical Engineering Shanghai Normal University Shanghai 200234 China Department of Computer Science University of ESSEX Colchester CO4 3SQ United Kingdom School of Architecture Building and Eng. Otago Polytechnic Dunedin 9054 New Zealand

To maximize training effects in free weight exercises, people need to remember repetitions of each type of exercises, which is tedious and difficult. Recognizing exercises type and counting automatically can overcome this problem, and multiple accelerometers were used in the existing exercises recognition. This paper presents a new recognition method based on one triaxial accelerometer, in which a filtered acceleration data stream is divided into time series with unequal length for peak analysis instead of conventional fixed length window. Based on this time series, Dynamic Time Warping (DTW) is deployed to recognize weight exercise types. 3D Euclidean distance and Itakura parallelogram constraint region are used to improve recognition performance. A reference template is set up for each class based on many examples instead of one in the conventional way. The proposed procedures are compared with other popular methods with both the user-dependent protocol and the userindependent protocol. Results show that proposed approach is feasible and can achieve good performance. © Springer-Verlag Berlin Heidelberg 2013.

关键词： Accelerometers

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Comparision of multi-carrier techniques in seven-level asymmetric cascade multilevel inverter

Comparision of multi-carrier techniques in seven-level asymm...

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2013 4th International Conference on Power Engineering, Energy and Electrical Drives, POWERENG 2013

作者： Colak, Ilhami Kabalci, Ersan Keven, Gokhan Faculty of Technology Department of Electric and Electronic Engineering Gazi University Ankara Turkey Faculty of Engineering and Architecture Dep. of Electrical and Electronic Eng. Nevsehir University Nevsehir Turkey Vocational College of Haci Bektaş Veli Dep. of Computer Programming Nevsehir University Nevsehir Turkey

ISBN: (纸本)9781467363921

The multilevel inverters (MLIs) are classified into three topologies such as Diode Clamped, Flying Capacitor and Cascade Multilevel Inverter (CMLI). CMLI topologies include two kind of structure that is named symmetric and asymmetric topologies. Asymmetric Cascade MLI (ACMLI) topologies consist of unequal DC sources. Many modulation techniques have been used in ACMLI topology such as Multi-Carrier PWM (MC-PWM), Space Vector PWM and Selective Harmonic PWM. The MC-PWM technique is achieved by four different types. In this study, MC-PWM techniques which are named Phase Disposition PWM, Phase Opposition Disposition PWM, Alternate Phase Opposition Disposition PWM and Phase Shifted PWM have been compared. It is uncovered that Phase Opposition Disposition PWM technique is more convenient in terms of Total Harmonic Distortion of output voltage and current signals and in terms of the quality of power factor in ACMLI which is performed in this study. © 2013 IEEE.

关键词： Pulse width modulation

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Semi-Global Inference in Phenotype-Protein Network

Semi-Global Inference in Phenotype-Protein Network

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The 7th International Conference on Bioinformatics and Biomedical Engineering(ICBBE 2013)

作者： Siliang Xia Guangri Quan Yongbo Zhao Xuhui Jia Institute of Architecture of Application Systems University of StuttgartStuttgartGermany School of Computer Science Harbin Institute of Technology at Weihai Institute of Microelectronics Chinese Academy of Sciences Department of Computer Science The University of Hong Kong

Discovering genetic basis of diseases is an important goal and a challenging problem in bioinformatics *** by network-based global inference approach,Semi-global inference method is prop

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Simulation and architecture improvements of atomic operations on GPU scratchpad memory

Simulation and architecture improvements of atomic operation...

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IEEE International Conference on computer Design: VLSI in computers and Processors, (ICCD)

作者： Gert-Jan van den Braak Juan Gómez-Luna Henk Corporaal José María González-Linares Nicolás Guil Department of Electrical Engineering Eindhoven University of Technology The Netherlands Universidad de Cordoba Cordoba AndalucÃa ES Department of Computer Architecture University of Málaga Spain

GPUs are increasingly used as compute accelerators. With a large number of cores executing an even larger number of threads, significant speed-ups can be attained for parallel workloads. Applications that rely on atomic operations, such as histogram and Hough transform, suffer from serialization of threads in case they update the same memory location. Previous work shows that reducing this serialization with software techniques can increase performance by an order of magnitude. We observe, however, that some serialization remains and still slows down these applications. Therefore, this paper proposes to use a hash function in both the addressing of the banks and the locks of the scratchpad memory. To measure the effects of these changes, we first implement a detailed model of atomic operations on scratchpad memory in GPGPU-Sim, and verify its correctness. Second, we test our proposed hardware changes. They result in a speed-up up to 4.9× and 1.8× on implementations utilizing the aforementioned software techniques for histogram and Hough transform applications respectively, with minimum hardware costs.

关键词： Instruction sets Graphics processing units computer architecture Atomic measurements Hardware Histograms Logic gates

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Machine learning based prediction of warfarin optimal dosing for African American patients

Machine learning based prediction of warfarin optimal dosing...

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IEEE International Conference on Automation Science and Engineering (CASE)

作者： Ashkan Sharabiani Houshang Darabi Adam Bress Larisa Cavallari Edith Nutescu Katarzyna Drozda Department of Electrical and Computer Engineering University of Connecticut Storrs CT USA Business Architecture and Technology ISO New England Holyoke MA USA

ISBN: (纸本)9781479915132

This paper proposes a new model for predicting the optimal warfarin dosing for African American patients. The prediction model is created using the multivariable regression method. The accuracy of dosing prediction is directly related to patient's safety. We show that the proposed model has better accuracy compare to all other available prediction methods for optimal dosing of warfarin.

关键词： Mathematical model Support vector machines Equations Artificial neural networks Predictive models Data models Hemorrhaging

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