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Color estimation base on a giving color estimation PC-based system

Procedia - Social and Behavioral sciences 2010年第1期2卷 120-124页

作者： Jin Tao Hitoshi Hoshino Yusaku Fujii Jia Hongzhi Koichi Maru Hou Wenmei Shanghai Key Laboratory of Modern Optical System School of Optical-Electrical and Computer Engineering University of Shanghai for Science and Technology Shanghai 20093 China Department of Electronic Engineering Faculty of Engineering Gunma University Gunma 376-8515 Japan

A person's clothes color information was estimated by using a prototype PC-based system. The novel concept can be divided into 3 stages. First, space-variant color filter is put onto the lens of the monochrome security camera. Secondly, when a crime takes place, the camera records suspected person. Finally, just after the crime, characteristics of the space-variant color filter are measured by the police, and the color of the clothes of the suspected person is estimated. In this experiment six kind reference color cloth were used. The result shows using this system to estimate the clothes color is easily, rapidly and precisely.

关键词： Color estimation Crime prevention Information technology

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Real time traffic congestion degree computation for minor sensorless roads using cost efficient context reasoning

Real time traffic congestion degree computation for minor se...

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International IEEE Conference on Intelligent Transportation systems

作者： Raphiphan, Panraphee Prathombutr, Passakon Zaslavsky, Arkady Meesad, Phayung Caulfield School of Information Technology Monash University 900 Dandenong Rd Caulfield East VIC 3145 Australia 112 Thailand Science Park Phahon Yothin Rd Pathumthani 12120 Thailand Department of Computer Science and Electrical Engineering Luleå University of Technology Luleå Sweden Centre for Distributed System and Software Engineering Monash University Australia Department of Teacher Training in Electrical Education Faculty of Technical Education King Mongkut's University of Technology North Bangkok 1518 Pibulsongkram Rd Bangsue Bangkok 10800 Thailand

ISBN: (纸本)9781424476572

Traffic congestion is the cause of pollution and economic loss. The Real time traffic state report can alleviate this problem by assisting drivers for route planning and choosing unblocked roads. More traffic information could lead to more accurate route planning and greater awareness of traffic situations and road conditions for drivers. However, investment into sensor infrastructure for small minor roads is rarely available. In this paper, we present a cost efficient approach to compute real time traffic congestion degrees for non-sensor infrastructure roads, such as small minor roads, based on context fusion and context reasoning method. Our framework intends to utilize real time acquirable context instead of relying on traffic sensory data which made our approach suitable for insufficient sensor infrastructure environment. The evaluation throughout several experimentations conducted in Bangkok has proven the feasibility of our approach. Besides, the experimental result indicated that the methodology of our experiment can be used as an alternative cost efficient tool for infrastructure investment decision making. ©2010 IEEE.

关键词： Traffic congestion

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Making applications more intelligent: A case study of optimizing route selection for emergency vehicles

Making applications more intelligent: A case study of optimi...

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2009 22nd IEEE International Symposium on computer-Based Medical systems, CBMS 2009

作者： Pohorec, Sandi Verlic, Mateja Zorman, Milan Laboratory for System Design Faculty of Electrical Engineering and Computer Science University of Maribor Slovenia

ISBN: (纸本)9781424448784

We present the results of a data mining research on the use of GPS positions and speed of travel of vehicles in urban areas to determine optimal travel routes for emergency vehicles. A new approach using predictive programming is presented. The approach focuses on using data mining of existing data as the key factor in the application logic where various decisions are to be made. The main appeal of such an approach is that the application logic evolves over time according to the application data. As the data changes the decisions soon follow. This gives the impression of intelligent behavior of the application. Copy;2009 IEEE.

关键词： Data mining

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Gait identification using cumulants of accelerometer data

Gait identification using cumulants of accelerometer data

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作者： Sprager, Sebastijan Zazula, Damjan System Software Laboratory University of Maribor Faculty of Electrical Engineering and Computer Science Smetanova ulica 17 2000 Maribor Slovenia

ISBN: (纸本)9789604741359

This paper describes gait identification using cumulants of accelerometer data. Accelerometer data of three different walking speeds for each subject (normal, slow and fast) was acquired by a cell phone placed on the person's hip. Data analysis was based on gait cycles that were detected first. Cumulants of order from 1 to 4 with lags from 0 to 10 for second, third and fourth order cumulants were calculated from the cycles and used as feature vectors for classification which was accomplished by support vector machines (SVM). Six healthy young subjects participated in the experiment. According to their gait classification the average recognition rate was 93.1%. A similarity measure for discerning different walking types of the same subject was also introduced using principal component analysis (PCA).

关键词： Accelerometers

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Equality detection for linear arithmetic constraints

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Journal of Zhejiang University-science A(Applied Physics & engineering) 2009年第12期10卷 1784-1789页

作者： Li LI Kai-duo HE Ming GU Xiao-yu SONG Department of Computer Science and Technology Tsinghua University Beijing 100084 China School of Software Tsinghua University Beijing 100084 China MOE Key Laboratory for Information System Security Beijing 100084 China Department of Electrical and Computer Engineering Portland State University Oregon 97207 USA

Satisfiability modulo theories (SMT) play a key role in verification applications. A crucial SMT problem is to combine separate theory solvers for the union of theories. In previous work, the simplex method is used to determine the solvability of constraint systems and the equalities implied by constraint systems are detected by a multitude of applications of the dual simplex method. We present an effective simplex tableau-based method to identify all implicit equalities such that the simplex method is harnessed to an irreducible minimum. Experimental results show that the method is feasible and effective.

关键词： Model checking Satisfiability modulo theories （SMT） Linear arithmetic

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A cumulant-based method for gait identification using accelerometer data with principal component analysis and support vector machine

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WSEAS Transactions on Signal Processing 2009年第11期5卷 369-378页

作者： Sprager, Sebastijan Zazula, Damjan System Software Laboratory University of Maribor Faculty of Electrical Engineering and Computer Science Smetanova ulica 17 2000 Maribor Slovenia

In this paper a cumulant-based method for identification of gait using accelerometer data is presented. Acceleration data of three different walking speeds (slow, normal and fast) for each subject was acquired by the accelerometer embedded in cell phone which was attached to the person's hip. Data analysis was based on gait cycles that were detected first. Cumulants of order from 1 to 4 with different number of lags were calculated. Feature vectors for classification were built using dimension reduction on calculated cumulants by principal component analysis (PCA). The classification was accomplished by support vector machines (SVM) with radial basis kernel. According to portion of variance covered in the calculated principal components, different lengths of feature vectors were tested. Six healthy young subjects participated in the experiment. The average person recognition rate based on gait classification was 90.3±3.2%. A similarity measure for discerning different walking types of the same subject was also introduced using dimension reduction on accelerometer data by PCA.

关键词： Principal component analysis

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Making applications more intelligent: A case study of optimizing route selection for emergency vehicles

Making applications more intelligent: A case study of optimi...

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Annual IEEE Symposium on computer-Based Medical systems

作者： Sandi Pohorec Mateja Verlic Milan Zorman Laboratory of system design Faculty of electrical engineering and computer science University of Maribor Slovenia

关键词： Intelligent vehicles Global Positioning system Data mining Mobile handsets Poles and towers Logic programming Satellite navigation systems Roads Velocity measurement Earth

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Local search engine with global content based on domain specific knowledge

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WSEAS Transactions on Information science and Applications 2009年第9期6卷 1544-1554页

作者： Pohorec, Sandi Verlič, Mateja Zorman, Milan Laboratory for System Design University of Maribor Faculty of Electrical Engineering and Computer Science Smetanova 17 2000 Maribor Slovenia

In the growing need for information we have come to rely on search engines. The use of large scale search engines, such as Google, is as common as surfing the World Wide Web. We are impressed with the capabilities of these search engines but still there is a need for improvment. A common problem with searching is the ambiguity of words. Their meaning often depends on the context in which they are used or varies across specific domains. To resolve this we propose a domain specific search engine that is globally oriented. We intend to provide content classification according to the target domain concepts, access to privileged information, personalization and custom ranking functions. Domain specific concepts have been formalized in the form of ontology. The paper describes our approach to a centralized search service for domain specific content. The approach uses automated indexing for various content sources that can be found in the form of a relational database, web service, web portal or page, various document formats and other structured or unstructured data. The gathered data is tagged with various approaches and classified against the domain classification. The indexed data is accessible through a highly optimized and personalized search service.

关键词： Search engines

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Pathway-Based Microarray Analysis for Defining Statistical Significant Phenotype-Related Pathways: A Review of Common Approaches

Pathway-Based Microarray Analysis for Defining Statistical S...

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International Conference on Information Management and engineering, ICIME

作者： M.F. Misman S. Deris S.Z.M. Hashim R. Jumali M.S. Mohamad Artificial Intelligence and Bioinformatics Laboratory Department of Software Engineering Faculty of Computer Science and Information System Universiti Teknologi Malaysia Skudai Johor Malaysia

ISBN: (纸本)9781424437740

In this review, we have discussed about approaches in pathway based microarray analysis. Commonly, there are two approaches in pathway based analysis, Enrichment Score and Supervised Machine Learning. These pathway based approaches usually aim to statistically define significant pathways that related to phenotypes of interest. Firstly we discussed an overview of pathway based microarray analysis and its general flow processes in scoring the pathways, the methods applied in both approaches, advantages and limitations based on current researches, and pathways database used in pathway analysis. This review aim to provide better understanding about pathway based microarray analysis and its approaches.

关键词： Linear feedback shift registers Random number generation Shift registers Cryptography Random sequences Feedback circuits State feedback Flip-flops Information management computer science

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Adaptive Parallel Model Combination for Reduced Environmental Mismatch in Noisy Speech Recognition

Adaptive Parallel Model Combination for Reduced Environmenta...

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International Conference on Electronic Design

作者： Tan, S. S. Ahmad, Abdul Manan Software Engineering Department Faculty of Computer Science and Information System University of Technology Malaysia Malaysia Speech Laboratory Faculty of Computer Science and Information System University of Technology Malaysia Malaysia

ISBN: (纸本)9781424423149

Due to environmental mismatch, speech recognition systems often exhibit drastic performance degradation in noisy conditions. This paper presents a model-based technique termed Adaptive Parallel Model Combination (APMC) which compensates the initial acoustic models to reduce the discrepancy. APMC used the well-known PMC technique to composite a set of corrupted speech models, while fine tuning the mean parameter of the models using a transformation-based adaptation technique called Maximum Likelihood Spectral Transformation (MLST). Evaluated on a context-independent phone recognition task, APMC was found to be superior to both PMC and MLST, especially in non-stationary noisy conditions. On average, APMC has achieved 48.81% improvement over the initial models, whereas PMC and MLST have improved the accuracy by 34.12% and 35.23% respectively.

关键词： Maximum likelihood

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