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Integration of Visualization Techniques and Completion Strategy to Improve Learning in Computer Programming

Integration of Visualization Techniques and Completion Strat...

引用

international conference of soft computing and pattern recognition (SOCPAR)

作者： Nurhana Hashim Sazilah Salam Interactive Media Department Universiti Teknikal Malaysia Melaka Malacca Malaysia

Computer Programming is known as a difficult subject that requires complex cognitive task by the majority of students even for those who are taking Computer Science courses. It is normal for programming instructors to provide their students with alternative methods to help them in the learning process. When learning to program for the first time, students and lecturers usually are facing with difficulties in learning and teaching the subject. Mobile learning provides a great opportunity for learners to switch from rigid learning to fun learning using supported elements. The ability of mobile devices only is still not enough for learners to master in learning programming without the right options in techniques applied. This study will explore how Visualization Technique and Completion Strategy can be used to improve learning in a computer programming subject.

关键词： Visualization Design optimization Printing Integer linear programming Constraint optimization Testing Containers pattern recognition Computer applications Laboratories

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A hierarchical rule-based activity recognition system with frequency pattern mining

A hierarchical rule-based activity recognition system with f...

引用

2009 4th international conference on Innovative computing, Information and Control, ICICIC 2009

作者： Li, Ji-Yu Huang, Po-Cheng Kuo, Yau-Hwang Lee, Kuan-Rong Department of Computer Science and Information Engineering National Cheng Kung University Tainan Taiwan Department of Information Engineering Kun Shan University Tainan Taiwan

ISBN: (纸本)9780769538730

In this paper, a hierarchical system is proposed for generating personalization action and activity recognition rules. Multi-level decision rule mining approach in our system not only discovers personal habit of device using, but also finds personal pattern of devices operation manner. First, it processes non-sequential procedure, which mines user's historical action database for constructing rules to recognize actions. Second, it creates action sequence recognized by using action rules generated before. Sequential mining method is adopted to find out the most frequent sequential pattern which is seemed as personal habit of device operating manner. Finally, non-sequential rules and sequential patterns are checked to recognize user's activity. The system generates rules depending on user's habit rather than being specified by designer who only creates general rules. The simulation results reveal that the activity recognition accuracies with 10% and 20% noise interference are 87.33% and 83.33% respectively. © 2009 IEEE.

关键词： Hierarchical systems

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Automated Grading of Palm Oil Fresh Fruit Bunches (FFB) Using Neuro-fuzzy Technique

Automated Grading of Palm Oil Fresh Fruit Bunches (FFB) Usin...

引用

international conference of soft computing and pattern recognition (SOCPAR)

作者： Nursuriati Jamil Azlinah Mohamed Syazwani Abdullah Faculty of Computer & Mathematical Sciences Universiti Teknologi MARA Shah Alam Selangor Darul Ehsan Malaysia

Automated fruit grading in local fruit industries are gradually receiving attention as the use of technology in upgrading the quality of food products are now acknowledged. In this paper, outer surface colors of palm oil fresh fruit bunches (FFB) are analyzed to automatically grade the fruits into over ripe, ripe and unripe. We compared two methods of color grading: (1) using RGB digital numbers and (2) colors classifications trained using a supervised learning Hebb technique and graded using fuzzy logic. A total of 90 images are used as the training images and 45 images are tested in the grading process. Overall, automated grading using RGB digital numbers produced an average of 49% success rate, while the neuro-fuzzy approach achieved an accuracy level of 73.3%.

关键词： Petroleum Design optimization Printing Integer linear programming Constraint optimization Testing Containers pattern recognition Computer applications Laboratories

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Geometry algebra neuron based on biomimetic pattern recognition 6

引用

6th international Symposium of Neural Networks, ISNN 2009

作者： Cao, Wenming Hao, Feng Jiaxing Zhejiang100083 China School of Information Engineering Shenzhen University Guangdong518060 China

ISBN: (纸本)9783642012150

Biometric pattern recognition aim at finding the best coverage of per kind of sample’s distribution in the feature space. It is based on the analysis of relationship of sample points in the feature space. According to the principle of "same source", research the same kind of samples’ distribution in the feature space can get eigenvector information with low data amount. This can be realized by ‘coverage recognizing method of complex geometric body in high dimensional space’. Self-adaptive topological structure of high dimensional geometrical neuron model offers theoretical basis for its realization. But it has been investigated in 2D sample space. In this paper ,we extend to Multispectral Image sample space by Clifford Algebra,and propose geometry algebra neuron by biomimetic pattern recognition theory. The experiment result proves the efficiency of our theory. © Springer-Verlag Berlin Heidelberg 2009.

关键词： Geometry

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Data Collecting Strategies for the Improvement of Healthcare Service: Analyzing Dispensing Errors in a Hospital Pharmacy

Data Collecting Strategies for the Improvement of Healthcare...

引用

international conference of soft computing and pattern recognition (SOCPAR)

作者： Yoshiko Habuchi Toshitaka Takenouchi Yoichi Motomura Center for Service Research National Institute of Advanced Industrial Science and Technology AIST Tsukuba Japan Department of Pharmacy Services Showa University Hospital Tokyo Japan

In this report, we first describe the importance of both a quality management system and a risk factor monitoring system for healthcare service. This report also discusses a case study that monitored dispensing errors in a hospital pharmacy. The authors used audit records and then interlinked error data with both location and prescription data to investigate the circumstances and potential causes of these errors. The results suggest that the frequency of prescription of certain drugs is a key factor in these types of errors. Understanding the effects of this high volume of prescriptions in the hospital pharmacy could help prevent errors and increase productivity. This report showed that an effective monitoring system could create concrete improvements and enhance utilization of information.

关键词： Medical services Error analysis Hospitals Quality management Monitoring Frequency Health and safety Computer industry Standardization pattern recognition

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A Modified Differential Evolution Algorithm and Its Application to Engineering Problems

A Modified Differential Evolution Algorithm and Its Applicat...

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international conference of soft computing and pattern recognition (SOCPAR)

作者： Musrrat Ali Millie Pant Ajith Abraham Department of Paper Technology Indian Institute of Technology Roorkee Saharanpur India Scientific Network for Innovation and Research Excellence Machine Intelligence Research Laboratories Auburn WA USA

In the present study a Modified Differential Evolution (MDE) algorithm is proposed. This algorithm is different in three ways from basic DE. For initialization it utilizes opposition-based learning while in basic DE uniform random numbers serve this task. Secondly, in basic DE mutant individual is random while in MDE it is tournament best and finally MDE utilizes only one set of population as against two sets as used in basic DE. The performance of proposed algorithm is investigated and compared with basic differential evolution. The experiments conducted shows that proposed algorithm outperform the basic DE algorithm in all the benchmark problems and real life applications.

关键词： Design optimization Printing Integer linear programming Constraint optimization Testing Containers pattern recognition Computer applications Laboratories Computer industry

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Instrumented Dynamic Platform for Observing Human Postural Sway: A Preliminary Study

Instrumented Dynamic Platform for Observing Human Postural S...

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international conference of soft computing and pattern recognition (SOCPAR)

作者： A. A. Gopalai D. Gouwanda S. M. N. A. Senanayake Y. Z. Chong School of Engineering Monash University Malaysia

This paper presents a novel design of a dynamic instrumented platform for observing the human postural sway. The body sway parameters were recorded using a force platform that was constructed with FSRs, and was fitted snugly on the surface of the dynamic platform. There are two conditions being studied in this paper, subjects are required to try and achieve a `standing quiet' stance, with their feet in a comfortable position, with their eyes open (EO) and followed by an eye close (EC). The position of the center of pressure was then recorded as a function of time. The discussion and experimental findings of the recorded data will be discussed further in the paper. The sample size of the subjects was set to be 8, with the age of the subject specifically set to be between 25 and 27 - with the average age of 25, to avoid any influence that age might have on affecting the subject's postural sway.

关键词： Instruments Humans Design optimization Printing Integer linear programming Constraint optimization Testing Containers pattern recognition Computer applications

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Ripe Tomato recognition and Localization for a Tomato Harvesting Robotic System

Ripe Tomato Recognition and Localization for a Tomato Harves...

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international conference of soft computing and pattern recognition (SOCPAR)

作者： Hongpeng Yin Yi Chai Simon X. Yang Gauri S. Mittal College of Automation Chongqing University Chongqing China School of Engineering University of Guelph Guelph Canada

A ripe tomato recognition and localization system for tomato harvesting robotic systems in greenhouse is developed. The ripe tomato is segmented by K-means clustering using the L*a*b* color space. To extract a single ripe tomato, mathematical morphology is used to denoise and handle the situations of tomato overlapping and sheltering. Tomato's shape features are combined with the color features to recognize ripe tomatoes. The difference value between the centroid coordinate and the center coordinate of image is used to control the robot arm to aim the tomato center. The turned angles of the robot arm are recorded. The distance between the tomato and robot arm is measured by a laser sensor. With the turned angles and the distance, the tomato's 3D coordinate is calculated under the spherical coordinate system. Experimental results show the effectiveness of the proposed method.

关键词： Robots Design optimization Printing Integer linear programming Constraint optimization Testing Containers pattern recognition Computer applications Laboratories

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An Agent Based Trading Game for Risk Adversity Level Estimation

An Agent Based Trading Game for Risk Adversity Level Estimat...

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international conference of soft computing and pattern recognition (SOCPAR)

作者： Pawan Pandey Sambatur Hemant Doan Van Khanh Nanyang Business School Students Nanyang Technological University Singapore Nanyang Technological University Singapore Singapore SG

Portfolio optimization based on the behavior and risk appetite of the heterogeneous investor community in financial markets has been very difficult to model and predict accurately. In this paper, firstly we attempt to simulate a multi-agent based stock market; where different types of agents are modeled to trade stocks using various strategies. The observations from trading activity of the user are in turn used to assess the risk adversity level (RAL) by using a suitable fuzzy logic model. RAL score from the fuzzy model serves as input to perform portfolio optimization using genetic algorithm. We further analyze and evaluate the optimum portfolio performance for different risk adversity level.

关键词： Portfolios Computational modeling Stock markets Genetic algorithms pattern recognition Electronic mail Predictive models Fuzzy logic Risk analysis Performance analysis

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Parameter Study and Optimization of a Color-Based Object Classification System

Parameter Study and Optimization of a Color-Based Object Cla...

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international conference of soft computing and pattern recognition (SOCPAR)

作者： Vinh Hong Dietrich Paulus Institute for Computational Visualistics University of Koblenz and Landau Koblenz Germany

Typical computer vision systems usually include a set of components such as a preprocessor, a feature extractor, and a classifier that together represent an image processing pipeline. For each component there are different operators available. Each operator has a different number of parameters with individual parameter domains. The challenge in developing a computer vision system is the optimal choice of the available operators and their parameters to construct the appropriate pipeline for the problem at hand. The task of finding the optimal combination and setting depends strongly on the definition of the term optimal. Optimality can reach from minimal computational time to maximal recognition rate of a system. Using the example of the color-based object classification system, this contribution presents a comprehensive approach for finding an optimal system by defining the required image processing pipeline, defining the optimization problem for the classification and improving the optimization by taking parameter studies into consideration. This unique approach produces a color-based classification system with an illuminant independent structure.

关键词： Computer vision Colored noise Image processing Pipelines Color Filters pattern recognition Feature extraction Object recognition Pixel

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