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international conference on Information Technology and Management Innovation (ICITMI2012)

作者： Tan, Yi Cao, Hong Cao, Yan Yang, Yanli Shandong Med Coll Jinan 250002 Shandong Peoples R China Xian Technol Univ Adv Mfg Engn Inst Xian 710032 Peoples R China Shenzhen Univ Sch Comp Sci & Software Engn Shenzhen 518060 Peoples R China

ISBN: (纸本)9783037855744

Hospital Information system (HIS) is the application of computer technology, communication technology and management science to hospital information management. The significance, status and problems of HIS in China are analyzed. Then, a HIS architecture is designed that is divided into five sub-systems, namely, clinic sub-system, inpatient sub-system, medicine sub-system, inspection sub-system and management sub-system. Finally, its B/S structure and distributed mode are presented. Using HIS can strengthen hospital management and improve medical treatment quality.

关键词： HIS B/S Function Analysis system Architecture

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Research on Information Analysis Method and application of Laser-Inducing Chlorophyll Fluorescence Image

Research on Information Analysis Method and Application of L...

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2013 IEEE 11th international conference on Electronic Measurement & Instruments

作者： Cao Ning Le Jing Hua Dengxin Wan Wenbo Li Jing School of Mechanical and Precision Instrument Engineering Xi'an University of Technology

ISBN: (纸本)9781479907571

Chlorophyll fluorescent information is closely related to the vital movement of a plant, so it can be used as a probe of the natural environment so as to quickly and accurately reflect the state of the environment around plants. A studying method of the plant leaves chlorophyll fluorescence image combining with remote sensing technology is presented in this paper. The system is designed and established to obtain the fluorescence image information of different plants in different states using an Nd:YAG solid-state laser as its excitation light source and an ICCD as the experimental image detector. The image information features are analyzed with pseudo-color enhancement, image synthesis using RGB color model and other methods. The results show that the fluorescence image can effectively reflect the texture, damage as well as the physiological state of a plant leaf, which can provide technical references for the further research on the impact of the change in environmental conditions by the fluorescence characteristics of plants.

关键词： pseudo color, laser induced fluorescence, image synthesis, chlorophyll fluorescence

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Thermo-environment Analyzer for Indoor Thermal Comfort Simulations in Green Building

Thermo-environment Analyzer for Indoor Thermal Comfort Simul...

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3rd international conference on Green Building, Materials and Civil Engineering (GBMCE 2013)

作者： Su, Ying-Ming Huang, Hsin-Yao Natl Taipei Univ Technol Grad Inst Architecture & Urban Design Taipei 106 Taiwan

ISBN: (纸本)9783037857922

In the face of climate change, city development should take into account the concept of energy saving and carbon reduction. This study aims to use 3D building modeling and computer simulation to assess the impact of the residential building balcony on indoor thermal environment. "Pufangtian" residential building in the northern Taiwan was selected as research object since it was the first to pass the Golden Certification set by Taiwan Green Building Rating system (EEWH). According to the average temperature from 1981-2010 meteorological statistics data issued by Taiwan's Central Weather Bureau, this study had calculated the warmest day & the coldest day as the time for simulation. The simulation results could provide residential building design, in addition to comfort and innovation, with the concept of energy saving and carbon reduction, which will further advance the development of Green Building.

关键词： residential building computer simulation balcony Ecotect EEWH

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Research of computational intelligence logistics distribution management system based on internet

Research of computational intelligence logistics distributio...

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2013 international conference on Vehicle and Mechanical Engineering and Information Technology, VMEIT 2013

作者： Zhang, Jian Hua Zhang, Zhe Ge, Zhen General Education Center Beijing Normal University Zhuhai Campus Zhuhai 519085 China Beijing Wuzi University Fuhe Street No 1 Beijing Tongzhou District Beijing 101149 China Information Science and Engineering Shenyang University of Technology Shenyang 110870 China

ISBN: (纸本)9783037858202

Since 2010 our research team in-depth study on the subject "Computational intelligence logistics distribution management system". This is the interdisciplinary research, involving computer science, intelligent technology, logistics engineering and management. The research content involves the basic theories of logistics and distribution of intelligence, and the related algorithms and calculation method. In the past three years, we have made gratifying achievements. This project, "Research on computational intelligent logistics distribution management system based on INTERNET", the purpose is to build an open platform in order to provide for the past research application. Only in this way, the past study of the Computational Intelligence Logistics Distribution Management system, further to provide to the society, and create greater economic benefit and social benefit, social service. © (2013) Trans Tech Publications, Switzerland.

关键词： Artificial intelligence

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Study on analysis android applications for smartwork

Study on analysis android applications for smartwork

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7th international conference on Ubiquitous Information Technologies and applications, CUTE 2012

作者： Ju, Seung-Hwan Seo, Hee-Suk Kwak, Jin Department Computer Engneering Korea University of Technonogy and Education 1600 Chungjeolno Byeongchunmyun Cheonan Chungnam Korea Republic of Department of Information Security Engineering Soonchunhyang University Soonchunhyangno 22 Asan Chungnam Korea Republic of

ISBN: (纸本)9789400758568

New information leading to the Internet, P2P, Ubiquitous, and smartphone has appeared paradigm. The main contents of the information paradigm are the 'open' and 'standard'. Full security incidents account for more than 80 % of the internal information security incidents, damages the value of information assets has increased rapidly. Mobile malware is rapidly becoming a serious threat. In this paper, I survey the current state of mobile malware. As I classified according to behavioral characteristics and propagation and understood the history mobile evolution. I Android application analysis methodology present Android application analysis methodology for the more secure smartwork environment. © 2013 Springer Science+Business Media.

关键词： Android (operating system)

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The application of chaotic particle swarm optimization algorithm in power system load forecasting

The application of chaotic particle swarm optimization algor...

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2nd international conference on Energy, Environment and Sustainable Development (EESD 2012)

作者： Zhao, Yuhong Zhao, Xuecheng Cheng, Wei Univ South China Inst Elect Engn Hengyang Hunan Peoples R China Shaoyang Vocat & Tech Dept Elect Engn & Mech Shaoyang Hunan Peoples R China

ISBN: (纸本)9783037855515

The support vector machine (SVM) has been successfully applied in the short-term load forecasting area, but its learning and generalization ability depends on a proper setting of its parameters. In order to improve forecasting accuracy, aiming at the disadvantages like man-made blindness in the parameters selection of SVM, In this paper, the chaos theory was applied to the PSO (particles swarm optimization) algorithm in order to cope with the problems such as low search speed and local optimization. Finally, we used it to optimize the support vector machines of short-term load forecasting model. Through the analysis of the daily forecasting results, it is shown that the proposed method could reduce modeling error and forecasting error of SVM model effectively and has better performance than general methods.

关键词： short term load forecasting support vector machines chaos particle swarm

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Hierarchical modeling fault-error-failure dependencies for cyber-physical systems

Hierarchical modeling fault-error-failure dependencies for c...

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8th international conference on Bio-Inspired Computing: Theories and applications, BIC-TA 2013

作者： Liu, Shixi Hu, Xiaojing Wang, Jingming Computer Science and Technology Department Chuzhou University Chuzhou China

ISBN: (纸本)9783642375019

While cyber-physical system (CPS) has grown in size and complexity, the existing single node failure of system are confronting some serious challenges. The strong coupling of software and physical processes in the emerging field motivates the development of new methods to respond to failure in both the cyber and physical domains. This paper presents formalized definitions for CPS from the view of hierarchical level model. The relationships between faults, errors and failures in the resource, service and process level are introduced. The application of stochastic Petri nets (SPN) on fault-error-failure dependencies Model in CPS is presented. Based on the model analyzing, the Fault-Error-Failure dependency relationships between resource, service and process are presented. The simulation results show the chances of resource faults are larger than the service error;the effects of a non-detected error perceived from resource level are less than that for the service level. © Springer-Verlag Berlin Heidelberg 2013.

关键词： Errors

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Condition Monitoring of the Aircraft Airborne Equipment Based on Neural Network and Information Fusion

Condition Monitoring of the Aircraft Airborne Equipment Base...

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第25届中国控制与决策会议

作者： Jianguo Cui Xue Yan Liying Jiang Yiwen Qi Yunzhe An Dong Zhang School of Automation Shenyang Aerospace University School of Computer Shenyang Aerospace University Shenyang Aeroengine Research Institute

ISBN: (纸本)9781467355339

According to the poor effect of current aircraft airborne equipment, a method based on the Neural Network and Dempster-Shafer evidence theory information fusion is put forward. As the important aircraft airborne equipment, the aero-engine, whose lubrication system works properly or not, directly affect the operation of the aero-engine condition. This paper will study on the condition monitoring of lubrication system of aero-engine. Firstly, through the aero-engine lubrication condition monitoring professional system, the performance status information will be got. Then given to the large amount of information we acquired, two neural networks are used to diagnose respectively. In order to improve the accuracy of the health condition monitoring ,on this basis, Dempster-Shafer evidence theory is used to conduct a information fusion of the results to the above two neural networks. The advantages of the method of artificial neural network and D-S evidence theory are effectively improved the diagnostic accuracy. So this paper gives a good health diagnosis method, and it has a good value of engineering application.

关键词： Aircraft Airborne Equipment Aero-engine Lubrication system Information Fusion Condition Monitoring

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Vehicle detection even in poor visibility conditions using infrared thermal images and its application to road traffic flow monitoring

Vehicle detection even in poor visibility conditions using i...

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2010 6th international Joint conference on computer, Information, and systems Sciences, and Engineering, CISSE 2010

作者： Iwasaki, Yoichiro Kawata, Shinya Nakamiya, Toshiyuki Department of Electronics and Intelligent Systems Engineering Faculty of Industrial Engineering Tokai University 9-1-1 Toroku Kumamoto 862-8652 Japan

ISBN: (纸本)9781461435570

We propose an algorithm for detecting vehicle positions and their movements by using thermal images obtained through an infrared thermography camera. The proposed algorithm specifies the area of moving vehicles based on the variations of pixel values, i.e. the standard deviations of pixel values along the time direction of spatio-temporal images. It also specifies vehicle positions by applying the pattern recognition algorithm which uses Haar-like features per frame of the images. Moreover, to increase the accuracy of vehicle detection, correction procedures for misrecognition of vehicles are employed. The results of our experiments show that the information about both vehicle positions and their movements can be obtained by combining those two kinds of detection, and the vehicle detection accuracy is 96.3 %. As an application of the algorithm, we also propose a method for estimating traffic flow conditions based on the results obtained by the algorithm. By use of the method for estimating traffic flow conditions, automatic traffic flow monitoring can be achieved. In addition, there is a possibility that traffic accidents, vehicle troubles, and illegal parking can be detected with the proposed method. By using the traffic information obtained from the proposed method, we also expect to realize an optimized traffic signal control around the clock even in changeable weather. © 2013 Springer Science+Business Media.

关键词： Vehicles

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Fast opposite weight learning rules with application in breast cancer diagnosis

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computerS IN BIOLOGY AND MEDICINE 2013年第1期43卷 32-41页

作者： Saki, Fatemeh Tahmasbi, Amir Soltanian-Zadeh, Hamid Shokouhi, Shahriar B. Univ Texas Dallas Dept Elect Engn Richardson TX 75080 USA Univ Texas SW Med Ctr Dallas Dept Immunol Dallas TX 75390 USA Univ Tehran Sch Elect & Comp Engn CIPCE Tehran 14395515 Iran Henry Ford Hlth Syst Radiol Image Anal Lab Detroit MI 48202 USA IUST Dept Elect Engn Tehran *** Iran

Classification of breast abnormalities such as masses is a challenging task for radiologists. computer-aided Diagnosis (CADx) technology may enhance the performance of radiologists by assisting them in classifying patterns into benign and malignant categories. Although Neural Networks (NN) such as Multilayer Perceptron (MLP) have drawbacks, namely long training times, a considerable number of CADx systems employ NN-based classifiers. The reason being that they provide high accuracy when they are appropriately trained. In this paper, we introduce three novel learning rules called Opposite Weight Back Propagation per Pattern (OWBPP), Opposite Weight Back Propagation per Epoch (OWBPE), and Opposite Weight Back Propagation per Pattern in Initialization (OWBPI) to accelerate the training procedure of an MLP classifier. We then develop CADx systems for the diagnosis of breast masses employing the traditional Back Propagation (BP), OWBPP, OWBPE and OWBPI algorithms on MLP classifiers. We quantitatively analyze the accuracy and convergence rate of each system. The results suggest that the convergence rate of the proposed OWBPE algorithm is more than 4 times faster than that of the traditional BP. Moreover, the CADx systems which use OWBPE classifier on average yield an area under Receiver Operating Characteristic (ROC), i.e. Az, of 0.928, a False Negative Rate (FNR) of 9.9% and a False Positive Rate (FPR) of 11.94%. (C) 2012 Elsevier Ltd. All rights reserved.

关键词： Classification computer-aided diagnosis Mammography Opposition-based learning

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