Pub Date : 2015-06-15DOI: 10.1109/ICIEV.2015.7333992
Hayato Takahashi, Yuhki Kitazono, Masahiko Hanada, Hiromichi Hanada, K. Mizuguchi, Akinori Fujimoto, S. Serikawa
We have developed a system that detects a fire and performs initial extinguishing. The characteristics of the system are installable by attaching to extinguisher and controllable through web browser. In addition to these, the system detects a fire automatically by processing the image from infrared camera with OpenCV, and send alert to user. We developed the system in the previous study, and this study we improved the system to monitor multiple fire sources simultaneously.
{"title":"Improvement of automatic fire extinguisher system for residential use","authors":"Hayato Takahashi, Yuhki Kitazono, Masahiko Hanada, Hiromichi Hanada, K. Mizuguchi, Akinori Fujimoto, S. Serikawa","doi":"10.1109/ICIEV.2015.7333992","DOIUrl":"https://doi.org/10.1109/ICIEV.2015.7333992","url":null,"abstract":"We have developed a system that detects a fire and performs initial extinguishing. The characteristics of the system are installable by attaching to extinguisher and controllable through web browser. In addition to these, the system detects a fire automatically by processing the image from infrared camera with OpenCV, and send alert to user. We developed the system in the previous study, and this study we improved the system to monitor multiple fire sources simultaneously.","PeriodicalId":367355,"journal":{"name":"2015 International Conference on Informatics, Electronics & Vision (ICIEV)","volume":"2016 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133248282","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}
Pub Date : 2015-06-15DOI: 10.1109/ICIEV.2015.7334048
A. Hashimoto, Chihiro Nishizaki, Nobuo Mitomo
The purpose of this study was to perform quantitative evaluation of human error in marine accidents by post-hoc analysis using the human reliability analysis (HRA) method. Since most marine accidents are caused by human error, it is important to identify which human errors are most important in marine accidents. In the quantitative evaluation of human error, we used the Technique for Human Error Rate Prediction (THERP) as one of the HRA methods. Based on the results of the event tree analysis of a marine accident, THERP was performed. In conclusion, it was found that it is possible to apply THERP to the analysis of human error in marine accidents.
{"title":"A study on application to marine accident of human reliability analysis method","authors":"A. Hashimoto, Chihiro Nishizaki, Nobuo Mitomo","doi":"10.1109/ICIEV.2015.7334048","DOIUrl":"https://doi.org/10.1109/ICIEV.2015.7334048","url":null,"abstract":"The purpose of this study was to perform quantitative evaluation of human error in marine accidents by post-hoc analysis using the human reliability analysis (HRA) method. Since most marine accidents are caused by human error, it is important to identify which human errors are most important in marine accidents. In the quantitative evaluation of human error, we used the Technique for Human Error Rate Prediction (THERP) as one of the HRA methods. Based on the results of the event tree analysis of a marine accident, THERP was performed. In conclusion, it was found that it is possible to apply THERP to the analysis of human error in marine accidents.","PeriodicalId":367355,"journal":{"name":"2015 International Conference on Informatics, Electronics & Vision (ICIEV)","volume":"237 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128959079","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}
Pub Date : 2015-06-15DOI: 10.1109/ICIEV.2015.7334013
N. Sakib, Md Atiqur Rahman Ahad
In this paper, we studied the optical absorption spectra of circular and elliptical gallium arsenide (GaAs) nanowire array (NWA) solar cells by using finite difference time domain (FDTD) simulation. Optical absorption enhancement is important for achieving high efficiency solar cells with reduced material. We compare the optical absorption of circular and elliptical GaAs NWA solar cells. It is found that elliptical GaAs NWA solar cells perform enhanced overall light absorption as compared with circular GaAs NWA solar cells due to reduced reflection from the top surface and reduced transmission from the bottom surface of NWA solar cells.
{"title":"Enhanced absorption of solar energy in elliptical GaAs nanowire array solar cells","authors":"N. Sakib, Md Atiqur Rahman Ahad","doi":"10.1109/ICIEV.2015.7334013","DOIUrl":"https://doi.org/10.1109/ICIEV.2015.7334013","url":null,"abstract":"In this paper, we studied the optical absorption spectra of circular and elliptical gallium arsenide (GaAs) nanowire array (NWA) solar cells by using finite difference time domain (FDTD) simulation. Optical absorption enhancement is important for achieving high efficiency solar cells with reduced material. We compare the optical absorption of circular and elliptical GaAs NWA solar cells. It is found that elliptical GaAs NWA solar cells perform enhanced overall light absorption as compared with circular GaAs NWA solar cells due to reduced reflection from the top surface and reduced transmission from the bottom surface of NWA solar cells.","PeriodicalId":367355,"journal":{"name":"2015 International Conference on Informatics, Electronics & Vision (ICIEV)","volume":"393 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128901586","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}
Pub Date : 2015-06-15DOI: 10.1109/ICIEV.2015.7334069
B. J. Park, Taekjin Jang, J. Choi, Namkug Kim
We developed a contactless interface for effectively controlling 2D and 3D medical images in operating rooms, which was implemented in the in-house 3D PACS program with a sensor device, a foot pedal and a mobile workstation. Various pre-defined hand motions and gestures were used for rotating, zooming, panning images or mimicking the movement of a mouse to the monitor screen. The software was installed and tested in a mobile workstation, which was moved to the operating room to be able to control medical images while maintaining aseptic conditions. Performance testing of this interface was evaluated by radiologists and was successfully used in practice by surgeons.
{"title":"Integrating motion controlled interface and mobility into 3D PACS for surgery","authors":"B. J. Park, Taekjin Jang, J. Choi, Namkug Kim","doi":"10.1109/ICIEV.2015.7334069","DOIUrl":"https://doi.org/10.1109/ICIEV.2015.7334069","url":null,"abstract":"We developed a contactless interface for effectively controlling 2D and 3D medical images in operating rooms, which was implemented in the in-house 3D PACS program with a sensor device, a foot pedal and a mobile workstation. Various pre-defined hand motions and gestures were used for rotating, zooming, panning images or mimicking the movement of a mouse to the monitor screen. The software was installed and tested in a mobile workstation, which was moved to the operating room to be able to control medical images while maintaining aseptic conditions. Performance testing of this interface was evaluated by radiologists and was successfully used in practice by surgeons.","PeriodicalId":367355,"journal":{"name":"2015 International Conference on Informatics, Electronics & Vision (ICIEV)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132413361","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}
Pub Date : 2015-06-15DOI: 10.1109/ICIEV.2015.7334053
M. Sulaiman, Z. Mustaffa, M. R. Mohamed, N. Abdullah
This paper presents the application of Cuckoo Search Algorithm (CSA) in solving the combined economic and emission (CEED) dispatch problem. As been known, CEED can be formulated as a multi-objective optimization problem which is involving two objectives that conflicting each other. The objective is to find the tradeoff between minimizing the costs of fuel as well as minimizing the emission levels simultaneously while satisfying all the constraints. In this paper, this bi-objective function is transformed into a single objective function by introducing the price penalty and weighting factors. In order to show the effectiveness of CSA in solving CEED, two test systems are used: 6-units and 40-units generator systems. The comparison with other recent techniques is also given in this paper.
{"title":"An application of Cuckoo Search Algorithm for solving combined economic and emission dispatch problem","authors":"M. Sulaiman, Z. Mustaffa, M. R. Mohamed, N. Abdullah","doi":"10.1109/ICIEV.2015.7334053","DOIUrl":"https://doi.org/10.1109/ICIEV.2015.7334053","url":null,"abstract":"This paper presents the application of Cuckoo Search Algorithm (CSA) in solving the combined economic and emission (CEED) dispatch problem. As been known, CEED can be formulated as a multi-objective optimization problem which is involving two objectives that conflicting each other. The objective is to find the tradeoff between minimizing the costs of fuel as well as minimizing the emission levels simultaneously while satisfying all the constraints. In this paper, this bi-objective function is transformed into a single objective function by introducing the price penalty and weighting factors. In order to show the effectiveness of CSA in solving CEED, two test systems are used: 6-units and 40-units generator systems. The comparison with other recent techniques is also given in this paper.","PeriodicalId":367355,"journal":{"name":"2015 International Conference on Informatics, Electronics & Vision (ICIEV)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130431290","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}
Pub Date : 2015-06-15DOI: 10.1109/ICIEV.2015.7333976
Md Taufeeq Uddin
The automatic recognition of facial expressions has a tremendous impact in many research fields, especially in the field of sign language since facial expressions contribute towards the formation of grammatical structure of the language that reduce the ambiguity of the sign language understanding. However, the automatic recognition of grammatical facial expressions is still a very challenging task due to the signer-based variation of the grammatical facial expressions, and the co-occurrence of manual and non-manual signs. This paper presents a novel Ada-Random Forests framework for recognizing the grammatical facial expressions used in Brazilian sign language. In this approach, an Ada-Boost feature selection algorithm is applied to select compact feature subsets from the numerous raw extracted features to reduce the computational time as well as to improve the recognition rate of the system; then, selected features are fed to a robust random forests classifier, given their capability to handle high-dimensional and unbalanced data, to recognize the grammatical facial expressions. The evaluation results of the experiments conducted on the first publicly available benchmark data set on Brazilian sign language indicate that the proposed technique improve the recognition metric by as much as 7.5% over the previously applied technique.
{"title":"An Ada-Random Forests based grammatical facial expressions recognition approach","authors":"Md Taufeeq Uddin","doi":"10.1109/ICIEV.2015.7333976","DOIUrl":"https://doi.org/10.1109/ICIEV.2015.7333976","url":null,"abstract":"The automatic recognition of facial expressions has a tremendous impact in many research fields, especially in the field of sign language since facial expressions contribute towards the formation of grammatical structure of the language that reduce the ambiguity of the sign language understanding. However, the automatic recognition of grammatical facial expressions is still a very challenging task due to the signer-based variation of the grammatical facial expressions, and the co-occurrence of manual and non-manual signs. This paper presents a novel Ada-Random Forests framework for recognizing the grammatical facial expressions used in Brazilian sign language. In this approach, an Ada-Boost feature selection algorithm is applied to select compact feature subsets from the numerous raw extracted features to reduce the computational time as well as to improve the recognition rate of the system; then, selected features are fed to a robust random forests classifier, given their capability to handle high-dimensional and unbalanced data, to recognize the grammatical facial expressions. The evaluation results of the experiments conducted on the first publicly available benchmark data set on Brazilian sign language indicate that the proposed technique improve the recognition metric by as much as 7.5% over the previously applied technique.","PeriodicalId":367355,"journal":{"name":"2015 International Conference on Informatics, Electronics & Vision (ICIEV)","volume":"255 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133232325","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}
Pub Date : 2015-06-15DOI: 10.1109/ICIEV.2015.7334002
Md Taufeeq Uddin
Automated analysis of social media documents has a tremendous impact in our day to day life since we extensively use social media to share our thoughts, feelings, tastes etc. However, the automatic social media analysis is still a very challenging task due to the massive amount of social media documents as well as the uncontrolled, dynamic and rapidly-changing content of social media documents. To automate social media analysis, this paper presents an automatic feedback prediction model based on novel Ada-Boost learning algorithm for blog documents considering realistic scenario. In this approach, an Ada-Boost classifier is applied to the numerous features extracted from crawled blog document to predict whether someone comments on a blog document or not in the next 24 hours of its publication in blogs. The evaluation results of the experiments conducted on the publicly available benchmark blog feedback data set indicate that the proposed technique is efficient both in terms of feedback prediction accuracy and computational time; the proposed approach yielded the maximum feedback prediction rate of 91.4%.
{"title":"Automated blog feedback prediction with Ada-Boost classifier","authors":"Md Taufeeq Uddin","doi":"10.1109/ICIEV.2015.7334002","DOIUrl":"https://doi.org/10.1109/ICIEV.2015.7334002","url":null,"abstract":"Automated analysis of social media documents has a tremendous impact in our day to day life since we extensively use social media to share our thoughts, feelings, tastes etc. However, the automatic social media analysis is still a very challenging task due to the massive amount of social media documents as well as the uncontrolled, dynamic and rapidly-changing content of social media documents. To automate social media analysis, this paper presents an automatic feedback prediction model based on novel Ada-Boost learning algorithm for blog documents considering realistic scenario. In this approach, an Ada-Boost classifier is applied to the numerous features extracted from crawled blog document to predict whether someone comments on a blog document or not in the next 24 hours of its publication in blogs. The evaluation results of the experiments conducted on the publicly available benchmark blog feedback data set indicate that the proposed technique is efficient both in terms of feedback prediction accuracy and computational time; the proposed approach yielded the maximum feedback prediction rate of 91.4%.","PeriodicalId":367355,"journal":{"name":"2015 International Conference on Informatics, Electronics & Vision (ICIEV)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131865966","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}
Pub Date : 2015-06-15DOI: 10.1109/ICIEV.2015.7333990
Burin Thunnom, L. Ramingwong
Web content searching is a daily activity of almost everyone. Often, it occurs several times a day. A number of people need to make sense out of a huge amount of Web pages in order to complete their jobs. Many others also have to rely on it. A number of research works in sensemaking have demonstrated the needs for supporting tools in Web content searching. In this paper, NorCost, a system that recommends relevant page segments, is proposed. The system emphasizes helping people to complete their sensemaking tasks without having to go through every detail of the Web page themselves as such tasks could takes long time to finish. The evaluation of NorCost is carried out to assess its accuracy as well as time taken to process the recommendation.
{"title":"An evaluation of page segment recommendation system using user's notes and N-Gram models","authors":"Burin Thunnom, L. Ramingwong","doi":"10.1109/ICIEV.2015.7333990","DOIUrl":"https://doi.org/10.1109/ICIEV.2015.7333990","url":null,"abstract":"Web content searching is a daily activity of almost everyone. Often, it occurs several times a day. A number of people need to make sense out of a huge amount of Web pages in order to complete their jobs. Many others also have to rely on it. A number of research works in sensemaking have demonstrated the needs for supporting tools in Web content searching. In this paper, NorCost, a system that recommends relevant page segments, is proposed. The system emphasizes helping people to complete their sensemaking tasks without having to go through every detail of the Web page themselves as such tasks could takes long time to finish. The evaluation of NorCost is carried out to assess its accuracy as well as time taken to process the recommendation.","PeriodicalId":367355,"journal":{"name":"2015 International Conference on Informatics, Electronics & Vision (ICIEV)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130297985","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}
Pub Date : 2015-06-15DOI: 10.1109/ICIEV.2015.7334037
Jianjun Chen, N. Takagi
Signs are ubiquitous indoors and outdoors, which are used for way finding, finding shops and businesses, accessing variety of services. But the information of signs is inaccessible to many visually impaired people unless they are represented in a non-visual form such as Braille, tactile graphic, and speech. Automatic reading text from signs in natural images becomes a vital application in visually impaired people assistance. However, finding the text in scene images is a great challenge, because it cannot be assumed that the acquired image contains only characters. Natural scene images usually contain diverse complex text of different size, styles and colors with complex backgrounds. Therefore, this paper proposes a novel method for text extraction from scene images. The algorithm is implemented and evaluated using a set of natural scene images. Accuracy, precision and recall rates of the proposed method are analyzed to determine the success and limitation. Recommendations for improvements are given based on the results.
{"title":"A homogeneous region based methodology for text extraction from natural scene images","authors":"Jianjun Chen, N. Takagi","doi":"10.1109/ICIEV.2015.7334037","DOIUrl":"https://doi.org/10.1109/ICIEV.2015.7334037","url":null,"abstract":"Signs are ubiquitous indoors and outdoors, which are used for way finding, finding shops and businesses, accessing variety of services. But the information of signs is inaccessible to many visually impaired people unless they are represented in a non-visual form such as Braille, tactile graphic, and speech. Automatic reading text from signs in natural images becomes a vital application in visually impaired people assistance. However, finding the text in scene images is a great challenge, because it cannot be assumed that the acquired image contains only characters. Natural scene images usually contain diverse complex text of different size, styles and colors with complex backgrounds. Therefore, this paper proposes a novel method for text extraction from scene images. The algorithm is implemented and evaluated using a set of natural scene images. Accuracy, precision and recall rates of the proposed method are analyzed to determine the success and limitation. Recommendations for improvements are given based on the results.","PeriodicalId":367355,"journal":{"name":"2015 International Conference on Informatics, Electronics & Vision (ICIEV)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114419847","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}
Pub Date : 2015-06-15DOI: 10.1109/ICIEV.2015.7333996
N. Mir-Nasiri, Md. Hazrat Ali, S. Kurokawa
This paper presents the conceptual design and implementation of a cost effective 3D prototyping machine which encompasses the design of mechanical, electrical & electronics systems as well as integrated Software in order to create a workable prototype. The objective of this research is to design and develop a machine which is controlled by a computer and capable of producing 3D solid representation of a CAD model in plastic via plastic extruder. A XYZ axes system is developed in order to enable the machine to carry out the prototyping process efficiently and effectively. A control system for the stepper motors and heating actuator are also developed to satisfy the precision requirement of this machine. The total system covers the conceptual design, the development process and the integration of the mechanical system and electrical and electronic systems of 3D prototyping machine. Main focusing point of this paper is to design and develop the suitable temperature control system of 3D Rapid Prototyping Machine (RPM).
{"title":"Development of 3D printer with integrated temperature control system","authors":"N. Mir-Nasiri, Md. Hazrat Ali, S. Kurokawa","doi":"10.1109/ICIEV.2015.7333996","DOIUrl":"https://doi.org/10.1109/ICIEV.2015.7333996","url":null,"abstract":"This paper presents the conceptual design and implementation of a cost effective 3D prototyping machine which encompasses the design of mechanical, electrical & electronics systems as well as integrated Software in order to create a workable prototype. The objective of this research is to design and develop a machine which is controlled by a computer and capable of producing 3D solid representation of a CAD model in plastic via plastic extruder. A XYZ axes system is developed in order to enable the machine to carry out the prototyping process efficiently and effectively. A control system for the stepper motors and heating actuator are also developed to satisfy the precision requirement of this machine. The total system covers the conceptual design, the development process and the integration of the mechanical system and electrical and electronic systems of 3D prototyping machine. Main focusing point of this paper is to design and develop the suitable temperature control system of 3D Rapid Prototyping Machine (RPM).","PeriodicalId":367355,"journal":{"name":"2015 International Conference on Informatics, Electronics & Vision (ICIEV)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124856878","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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