In this paper we present a short-term robot edutainment for junior high school students. The theme of this robotic course is the walking motion of multi-legged robot. We provided the students with the robot educational material that contains assembled leg parts. The students devised the configuration and motion of the robot using given constraints. We conducted a robot contest for the students to present their results in this robot course. As a result, by using limited materials, the students were able to produce a robot that shows their ingenuity. We could observe from a questionnaire about the course that the students were interested in science and robots.
{"title":"Robot Edutainment on Walking Motion of Multi-legged Robot","authors":"Noriko Takase, János Botzheim, N. Kubota","doi":"10.1109/RVSP.2013.59","DOIUrl":"https://doi.org/10.1109/RVSP.2013.59","url":null,"abstract":"In this paper we present a short-term robot edutainment for junior high school students. The theme of this robotic course is the walking motion of multi-legged robot. We provided the students with the robot educational material that contains assembled leg parts. The students devised the configuration and motion of the robot using given constraints. We conducted a robot contest for the students to present their results in this robot course. As a result, by using limited materials, the students were able to produce a robot that shows their ingenuity. We could observe from a questionnaire about the course that the students were interested in science and robots.","PeriodicalId":6585,"journal":{"name":"2013 Second International Conference on Robot, Vision and Signal Processing","volume":"11 1","pages":"229-233"},"PeriodicalIF":0.0,"publicationDate":"2013-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80060046","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yi-Ting Chen, Bin-Yih Liao, Chin-Feng Lee, Wu-Der Tsay, M. Lai
An Adjustable Frequency Bat Algorithm (AFBA) is proposed to improve solution accuracy for optimization problem in this study. The conception is to employ the adjustable frequency determined by flight direction of bats to adapt the velocity toward the correct direction. The bats emit an ultrasound with various frequencies decided by flight direction to the current best bat. The adjustable frequency can provide the bats correct direction, proper velocity to move their position. And the bats can more systematical explore new possible better position in movement. Subsequently, there are many scenarios designed by different dimensions from low to high and benchmark functions with diverse modal to verify the performance of the proposed AFBA. The experimental numeric result shows that AFBA has better ability of search to improve the quality of the global optimal solution than BA. The fitness errors almost are less than 1.00E-6 for the unimodal function and multimodal function in tested dimensions.
{"title":"An Adjustable Frequency Bat Algorithm Based on Flight Direction to Improve Solution Accuracy for Optimization Problems","authors":"Yi-Ting Chen, Bin-Yih Liao, Chin-Feng Lee, Wu-Der Tsay, M. Lai","doi":"10.1109/RVSP.2013.47","DOIUrl":"https://doi.org/10.1109/RVSP.2013.47","url":null,"abstract":"An Adjustable Frequency Bat Algorithm (AFBA) is proposed to improve solution accuracy for optimization problem in this study. The conception is to employ the adjustable frequency determined by flight direction of bats to adapt the velocity toward the correct direction. The bats emit an ultrasound with various frequencies decided by flight direction to the current best bat. The adjustable frequency can provide the bats correct direction, proper velocity to move their position. And the bats can more systematical explore new possible better position in movement. Subsequently, there are many scenarios designed by different dimensions from low to high and benchmark functions with diverse modal to verify the performance of the proposed AFBA. The experimental numeric result shows that AFBA has better ability of search to improve the quality of the global optimal solution than BA. The fitness errors almost are less than 1.00E-6 for the unimodal function and multimodal function in tested dimensions.","PeriodicalId":6585,"journal":{"name":"2013 Second International Conference on Robot, Vision and Signal Processing","volume":"60 1","pages":"172-177"},"PeriodicalIF":0.0,"publicationDate":"2013-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80557060","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
ADS-B is a cooperating surveillance technology which can broadcast not only the position messages, but also the velocity, status and TCP (Trajectory Change Point) which could be used for target surveillance. This paper tries to utilize the multi-model method to enhance the filtering function. Through the simulation, we find it is reasonable to use the multi-model method and we also propose the unified modes structure which will benefit the computing efficiency and the parameter auto-adaptive modulation.
{"title":"Trajectory Tracking Using Auto-adaptive Multi-model Filtering Method in ADS-B System","authors":"Kai-Ge Zhang, Yu-Long Qiao, Chaozhu Zhang","doi":"10.1109/RVSP.2013.28","DOIUrl":"https://doi.org/10.1109/RVSP.2013.28","url":null,"abstract":"ADS-B is a cooperating surveillance technology which can broadcast not only the position messages, but also the velocity, status and TCP (Trajectory Change Point) which could be used for target surveillance. This paper tries to utilize the multi-model method to enhance the filtering function. Through the simulation, we find it is reasonable to use the multi-model method and we also propose the unified modes structure which will benefit the computing efficiency and the parameter auto-adaptive modulation.","PeriodicalId":6585,"journal":{"name":"2013 Second International Conference on Robot, Vision and Signal Processing","volume":"21 1","pages":"93-97"},"PeriodicalIF":0.0,"publicationDate":"2013-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78298869","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yu-Hao Lee, Vincent Shieh, Chih-Lung Lin, Yung‐Jong Shiah
This study designed a system for evaluating personal stress by assessing activities of autonomic nervous system (ANS) using heart rate variability (HRV) analysis through Photoplethysmography (PPG) signal. To investigate the performance of stress relaxation, this study also designed an environment with personal preferences. The environment included visional, audio and olfactory elements. Five healthy college students were invited to five days stress task study. The personal preferences of environment were set before experimental procedure. The subjects were required to fill the State-Trait Anxiety Inventory (STAI), and PPG signal was acquired by the developed system during experimental procedure. The experimental procedure was composed with a sequence of initial rest for baseline, relaxation environment after rest, stress task and relaxation environment after stress task. Results indicated that a decrease in STAI and LF/HF was obtained during relaxation environment, whereas increase in STAI and LF/HF was obtained during stress task. These results suggested that an environment with personal preferences may improve helpfully for stress relaxation.
{"title":"A Stress Evaluation and Personal Relaxation System Based on Measurement of Photoplethysmography","authors":"Yu-Hao Lee, Vincent Shieh, Chih-Lung Lin, Yung‐Jong Shiah","doi":"10.1109/RVSP.2013.49","DOIUrl":"https://doi.org/10.1109/RVSP.2013.49","url":null,"abstract":"This study designed a system for evaluating personal stress by assessing activities of autonomic nervous system (ANS) using heart rate variability (HRV) analysis through Photoplethysmography (PPG) signal. To investigate the performance of stress relaxation, this study also designed an environment with personal preferences. The environment included visional, audio and olfactory elements. Five healthy college students were invited to five days stress task study. The personal preferences of environment were set before experimental procedure. The subjects were required to fill the State-Trait Anxiety Inventory (STAI), and PPG signal was acquired by the developed system during experimental procedure. The experimental procedure was composed with a sequence of initial rest for baseline, relaxation environment after rest, stress task and relaxation environment after stress task. Results indicated that a decrease in STAI and LF/HF was obtained during relaxation environment, whereas increase in STAI and LF/HF was obtained during stress task. These results suggested that an environment with personal preferences may improve helpfully for stress relaxation.","PeriodicalId":6585,"journal":{"name":"2013 Second International Conference on Robot, Vision and Signal Processing","volume":"12 1","pages":"182-185"},"PeriodicalIF":0.0,"publicationDate":"2013-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90827922","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Content-based image retrieval has become an important research area and consequently well performing retrieval algorithms are highly sought after. Texture features are often crucial for retrieval applications to achieve high precision, while local binary pattern (LBP) based texture descriptors have been shown to work well in this context. LBP features decsribe the texture neighbourhood of a pixel using simple comparison operators, and are often calculated based on varying neighbourhood radii to provide multi-resolution texture description. Furthermore, local contrast information can be integrated into LBP leading to LBP variance (LBPV) features. In conventional LBP methods, the histograms corresponding to different radii are simply concatenated resulting in a loss of information between different resolutions and added ambiguity. In this paper, we show that multi-dimensional LBP and LBPV histograms, which preserve the relationships between scales, provide improved texture retrieval performance. To cope with the exponential increase in terms of feature length, we show that application of principal component based feature reduction leads to very compact texture descriptors with high retrieval accuracy.
{"title":"Compact Multi-dimensional LBP Features for Improved Texture Retrieval","authors":"N. Doshi, G. Schaefer","doi":"10.1109/RVSP.2013.20","DOIUrl":"https://doi.org/10.1109/RVSP.2013.20","url":null,"abstract":"Content-based image retrieval has become an important research area and consequently well performing retrieval algorithms are highly sought after. Texture features are often crucial for retrieval applications to achieve high precision, while local binary pattern (LBP) based texture descriptors have been shown to work well in this context. LBP features decsribe the texture neighbourhood of a pixel using simple comparison operators, and are often calculated based on varying neighbourhood radii to provide multi-resolution texture description. Furthermore, local contrast information can be integrated into LBP leading to LBP variance (LBPV) features. In conventional LBP methods, the histograms corresponding to different radii are simply concatenated resulting in a loss of information between different resolutions and added ambiguity. In this paper, we show that multi-dimensional LBP and LBPV histograms, which preserve the relationships between scales, provide improved texture retrieval performance. To cope with the exponential increase in terms of feature length, we show that application of principal component based feature reduction leads to very compact texture descriptors with high retrieval accuracy.","PeriodicalId":6585,"journal":{"name":"2013 Second International Conference on Robot, Vision and Signal Processing","volume":"24 1","pages":"51-55"},"PeriodicalIF":0.0,"publicationDate":"2013-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77871581","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Evaporative cooling with watery pad and exhaust fan has been broadly studied in past years. Although such cooling system has been demonstrated for higher energy saving than traditional air conditioning machines, it also innately inherits drawback of temperature gradient along airflow direction. In this paper, we will practically survey the performance of our evaporative cooling system. According to experimental results, the problem of uneven temperature distribution might not be insolvable, the second half area without the effectiveness of humid air could be cooled by forced ventilation. Our survey indicates that exhaust fan can nearly cools the rest of half airflow path. This makes evaporative cooling system becoming more feasible for greenhouse designs in the future.
{"title":"A Practical Survey of Evaporative Cooling System for Orchids Greenhouse","authors":"Ying-Hao Yu, Chun-Hsien Yeh, Yuh-Kuang Chen, Ping-Hsuan Lai, Pei-Yin Chen, Chih-Yuan Lien","doi":"10.1109/RVSP.2013.75","DOIUrl":"https://doi.org/10.1109/RVSP.2013.75","url":null,"abstract":"Evaporative cooling with watery pad and exhaust fan has been broadly studied in past years. Although such cooling system has been demonstrated for higher energy saving than traditional air conditioning machines, it also innately inherits drawback of temperature gradient along airflow direction. In this paper, we will practically survey the performance of our evaporative cooling system. According to experimental results, the problem of uneven temperature distribution might not be insolvable, the second half area without the effectiveness of humid air could be cooled by forced ventilation. Our survey indicates that exhaust fan can nearly cools the rest of half airflow path. This makes evaporative cooling system becoming more feasible for greenhouse designs in the future.","PeriodicalId":6585,"journal":{"name":"2013 Second International Conference on Robot, Vision and Signal Processing","volume":"4 1","pages":"303-306"},"PeriodicalIF":0.0,"publicationDate":"2013-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88813235","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The Cooperative Collision Avoidance Warning System (CCAWS) for vehicle safety in vehicular networks has become very important in recent years. However, the advanced positioning methods will affect the accuracy of the CCAWS warning information. Hence, we propose a self-correction of the vehicle-based positioning method in vehicular networks. Moreover, we design a dynamic vehicle full-view driver assistance system on the Android operating system for vehicular networks. The dynamic vehicle full-view driver assistance system can be shown on a monitor and the neighboring vehicles can also be drawn on the map. Users can easily understand the road conditions. Moreover, the application can exchange traffic information with other vehicles and the map can also show vehicles which are out of range. Furthermore, the application can show the time to collision between two vehicles.
{"title":"Dynamic Vehicle Full-View Driver Assistance System in Vehicular Networks","authors":"Tsung-Lin Wu, Chen-Da Tsai, Chao-Chun Yang","doi":"10.1109/RVSP.2013.17","DOIUrl":"https://doi.org/10.1109/RVSP.2013.17","url":null,"abstract":"The Cooperative Collision Avoidance Warning System (CCAWS) for vehicle safety in vehicular networks has become very important in recent years. However, the advanced positioning methods will affect the accuracy of the CCAWS warning information. Hence, we propose a self-correction of the vehicle-based positioning method in vehicular networks. Moreover, we design a dynamic vehicle full-view driver assistance system on the Android operating system for vehicular networks. The dynamic vehicle full-view driver assistance system can be shown on a monitor and the neighboring vehicles can also be drawn on the map. Users can easily understand the road conditions. Moreover, the application can exchange traffic information with other vehicles and the map can also show vehicles which are out of range. Furthermore, the application can show the time to collision between two vehicles.","PeriodicalId":6585,"journal":{"name":"2013 Second International Conference on Robot, Vision and Signal Processing","volume":"38 1","pages":"39-42"},"PeriodicalIF":0.0,"publicationDate":"2013-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78398691","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Switching filter is a popular kind of image salt & pepper noise removal techniques in recent years. Unfortunately, noise detection schemes in existing switching filters are usually unsuitable for dealing with those images containing a certain number of noise-free pixels with gray levels 0s or 255s. To alleviate this issue, a new noise detection scheme is proposed, which can be regarded as a generalization of MDBUTMF's (modified decision based unsymmetric trimmed median filter) scheme. The proposed detection scheme innovatively utilizes image thresholding results obtained by gray level extremes 0 and 255 to further exclude fake noise pixels. And MDBUTMF's noise restoration scheme is adopted to restore our detected noise pixels. A series of simulations demonstrate that the proposed algorithm has higher noise detection accuracy and better restoration effect with higher PSNR values.
{"title":"Image Thresholding-Based Switching Filter for Salt & Pepper Noise Removal","authors":"Zuoyong Li, Kezong Tang, Zuchang Zhang","doi":"10.1109/RVSP.2013.13","DOIUrl":"https://doi.org/10.1109/RVSP.2013.13","url":null,"abstract":"Switching filter is a popular kind of image salt & pepper noise removal techniques in recent years. Unfortunately, noise detection schemes in existing switching filters are usually unsuitable for dealing with those images containing a certain number of noise-free pixels with gray levels 0s or 255s. To alleviate this issue, a new noise detection scheme is proposed, which can be regarded as a generalization of MDBUTMF's (modified decision based unsymmetric trimmed median filter) scheme. The proposed detection scheme innovatively utilizes image thresholding results obtained by gray level extremes 0 and 255 to further exclude fake noise pixels. And MDBUTMF's noise restoration scheme is adopted to restore our detected noise pixels. A series of simulations demonstrate that the proposed algorithm has higher noise detection accuracy and better restoration effect with higher PSNR values.","PeriodicalId":6585,"journal":{"name":"2013 Second International Conference on Robot, Vision and Signal Processing","volume":"1 1","pages":"21-24"},"PeriodicalIF":0.0,"publicationDate":"2013-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85479083","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
3D robotic vision is proposed using a neural network model that forms sparse distributed memory traces of spatiotemporal episodes of an object. These episodes are generated by the robot interaction with the environment or by robot's movement around 3D object and its perspective to the objects. The traces are distributed in each cell and synapse that participates in many traces. This sharing of representational substrate enables the model for similarity based generalization and thus semantic memory. The results are provided showing that spatiotemporal patterns map to similar traces, as a first step for robot 3D vision system. The model achieves this property by measuring the degree of similarity between the current input pattern on each frame and the expected input given the preceding frame and then adding an amount of noise, inversely proportional to the degree of similarity, to the process of choosing the internal representation for the current frame and the predictable input given the preceding frame.
{"title":"Semantic Spatiotemporal Memory toward 3D Robotic Vision","authors":"A. R. Hafiz, K. Murase","doi":"10.1109/RVSP.2013.61","DOIUrl":"https://doi.org/10.1109/RVSP.2013.61","url":null,"abstract":"3D robotic vision is proposed using a neural network model that forms sparse distributed memory traces of spatiotemporal episodes of an object. These episodes are generated by the robot interaction with the environment or by robot's movement around 3D object and its perspective to the objects. The traces are distributed in each cell and synapse that participates in many traces. This sharing of representational substrate enables the model for similarity based generalization and thus semantic memory. The results are provided showing that spatiotemporal patterns map to similar traces, as a first step for robot 3D vision system. The model achieves this property by measuring the degree of similarity between the current input pattern on each frame and the expected input given the preceding frame and then adding an amount of noise, inversely proportional to the degree of similarity, to the process of choosing the internal representation for the current frame and the predictable input given the preceding frame.","PeriodicalId":6585,"journal":{"name":"2013 Second International Conference on Robot, Vision and Signal Processing","volume":"17 1","pages":"238-241"},"PeriodicalIF":0.0,"publicationDate":"2013-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82705170","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This paper discussed the Interaction System with Robot Partner using Quantum-Inspired Bi-directional Associative Memory (QBAM). We have been developed QBAM which has the superior Memory Capacity and Recall Reliability compare with conventional models. Due to these advantages, the proposed system can be stored much information and its relationships. Using QBAM, we construct the interaction system that can be associated with gesture, object and voice information. In proposed system, Steady-state genetic algorithms are applied in order to detect objects via image processing. Spiking neural networks are applied to memorize the spatio-temporal patterns of gesture. For voice recognition, we use Julius that is open source large vocabulary continuous speech recognition engine. The results of experiment shows that proposed system is able to contribute for the facilitation of communication with Robot Partner.
{"title":"Human-Robot Interaction System with Quantum-Inspired Bidirectional Associative Memory","authors":"Naoki Masuyama, C. Loo, N. Kubota","doi":"10.1109/RVSP.2013.23","DOIUrl":"https://doi.org/10.1109/RVSP.2013.23","url":null,"abstract":"This paper discussed the Interaction System with Robot Partner using Quantum-Inspired Bi-directional Associative Memory (QBAM). We have been developed QBAM which has the superior Memory Capacity and Recall Reliability compare with conventional models. Due to these advantages, the proposed system can be stored much information and its relationships. Using QBAM, we construct the interaction system that can be associated with gesture, object and voice information. In proposed system, Steady-state genetic algorithms are applied in order to detect objects via image processing. Spiking neural networks are applied to memorize the spatio-temporal patterns of gesture. For voice recognition, we use Julius that is open source large vocabulary continuous speech recognition engine. The results of experiment shows that proposed system is able to contribute for the facilitation of communication with Robot Partner.","PeriodicalId":6585,"journal":{"name":"2013 Second International Conference on Robot, Vision and Signal Processing","volume":"50 1","pages":"66-71"},"PeriodicalIF":0.0,"publicationDate":"2013-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88723431","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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