Pub Date : 2017-12-01DOI: 10.1109/ICOT.2017.8336118
Haihong Zhang, Huijuan Yang, C. Wang, Dajiang he, Jimmy Lee, Tan Bhing Leet, Juan Zhou, Cuntai Guan
Major Depressive Disorder (MDD) is a potentially disabling mental condition with multi-factorial aetiology. To relieve the MDD condition, latest functional neural imaging studies using fMRI have shown initial positive outcomes from feedback-based up-regulation of neural activities in the particular brain region of amygdala. Towards validating a more practical approach using EEG, this work aimed to examine the feasibility of detecting particular brain signals in EEG when a user was performing a specific task for emotional up-regulating. In this preliminary study, we designed a test protocol and recruited healthy subjects to perform a sequence of alternating mental tasks, with eyes-closed to avoid ocular artifacts. Self-report of affective state confirmed the effectiveness of the protocol for regulating emotional states, while EEG data were analyzed to explore significant signals in relation to the affective tasks.
{"title":"A feasibility study of detecting brain signal in EEG during emotional self-regulation","authors":"Haihong Zhang, Huijuan Yang, C. Wang, Dajiang he, Jimmy Lee, Tan Bhing Leet, Juan Zhou, Cuntai Guan","doi":"10.1109/ICOT.2017.8336118","DOIUrl":"https://doi.org/10.1109/ICOT.2017.8336118","url":null,"abstract":"Major Depressive Disorder (MDD) is a potentially disabling mental condition with multi-factorial aetiology. To relieve the MDD condition, latest functional neural imaging studies using fMRI have shown initial positive outcomes from feedback-based up-regulation of neural activities in the particular brain region of amygdala. Towards validating a more practical approach using EEG, this work aimed to examine the feasibility of detecting particular brain signals in EEG when a user was performing a specific task for emotional up-regulating. In this preliminary study, we designed a test protocol and recruited healthy subjects to perform a sequence of alternating mental tasks, with eyes-closed to avoid ocular artifacts. Self-report of affective state confirmed the effectiveness of the protocol for regulating emotional states, while EEG data were analyzed to explore significant signals in relation to the affective tasks.","PeriodicalId":297245,"journal":{"name":"2017 International Conference on Orange Technologies (ICOT)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126806873","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 : 2017-12-01DOI: 10.1109/ICOT.2017.8336103
Q. T. Le, A. Leung, Wen Liu, Sephia Wang, Cheng-Ing Wu, S. Liou
Creativity plays the critical role in cultivating innovation and entrepreneurship. However, in the prompt development of the creative industries, the previous concept of creativity is not fully appropriate to explain all the cases. Thus, this research aims to construct an inspiration model of creativity in which the inspiration will enrich the enlightening nature of creativity, and complete novelty and usefulness dimensions of creativity. The proposed inspiration model would contribute to a clearer description and explanation of the nature of creativity, furthermore, will empower the strategies to develop technology by inspired of humanity in social innovation, providing issues identification, promotion of creative framework; creative talent cultivation and incentives, and innovative management and diffusion.
{"title":"A new theory of inspiration of creativity: A way to advance the technology for humanity","authors":"Q. T. Le, A. Leung, Wen Liu, Sephia Wang, Cheng-Ing Wu, S. Liou","doi":"10.1109/ICOT.2017.8336103","DOIUrl":"https://doi.org/10.1109/ICOT.2017.8336103","url":null,"abstract":"Creativity plays the critical role in cultivating innovation and entrepreneurship. However, in the prompt development of the creative industries, the previous concept of creativity is not fully appropriate to explain all the cases. Thus, this research aims to construct an inspiration model of creativity in which the inspiration will enrich the enlightening nature of creativity, and complete novelty and usefulness dimensions of creativity. The proposed inspiration model would contribute to a clearer description and explanation of the nature of creativity, furthermore, will empower the strategies to develop technology by inspired of humanity in social innovation, providing issues identification, promotion of creative framework; creative talent cultivation and incentives, and innovative management and diffusion.","PeriodicalId":297245,"journal":{"name":"2017 International Conference on Orange Technologies (ICOT)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122593576","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 : 2017-12-01DOI: 10.1109/ICOT.2017.8336087
Y. Zhu, Jinqiu Sun, Min Wang, Rui Yao, Yanning Zhang
Feature extraction is a key step in the classification and recognition problem. Features from different methods vary a lot with different separability in their feature space. We propose a novel method based on the distance matrix to evaluate feature separability by describing the in-class aggregation and the between-class scatter of every class. Finally the separability of each feature class is measured individually. Experiments on the synthetic data and ORL face dataset prove its effectiveness and advantage with regard to the conventional methods.
{"title":"Feature separability based on the distance matrix","authors":"Y. Zhu, Jinqiu Sun, Min Wang, Rui Yao, Yanning Zhang","doi":"10.1109/ICOT.2017.8336087","DOIUrl":"https://doi.org/10.1109/ICOT.2017.8336087","url":null,"abstract":"Feature extraction is a key step in the classification and recognition problem. Features from different methods vary a lot with different separability in their feature space. We propose a novel method based on the distance matrix to evaluate feature separability by describing the in-class aggregation and the between-class scatter of every class. Finally the separability of each feature class is measured individually. Experiments on the synthetic data and ORL face dataset prove its effectiveness and advantage with regard to the conventional methods.","PeriodicalId":297245,"journal":{"name":"2017 International Conference on Orange Technologies (ICOT)","volume":"209 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132705462","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 : 2017-12-01DOI: 10.1109/ICOT.2017.8336099
Bo-Hao Su, Shih-Pang Tseng, Jhing-Fa Wang, Yu-Hsiang Lin
In this paper, we proposed a friendly human-machine interaction on home care robot. Our system is able to interact with people, provide information and entertainment. In addition, we commit to a better user-experience, making the interaction friendlier and affable. The system is divided into two parts, friendly user interface and friendly Automatic Speech Recognition. The friendly user interface takes a significant responsibility for direct interaction with people. We improve the operating procedures and add a touch mode for operation. We progress the tasks with parallel processing to enhance the fluency of the system, making the operation friendlier. A friendly ASR needs to have ability to handle noisy environment and deal with multi-person conversation. We apply sound source localization to identify the speaker's position and find out the talking person with face recognition and mouth opening recognition in front of the robot. When the robot extracts the user intent from the speaker, the system will decide an appropriate action and display the information on the user interface.
{"title":"Friendly human-machine interaction on home care robot","authors":"Bo-Hao Su, Shih-Pang Tseng, Jhing-Fa Wang, Yu-Hsiang Lin","doi":"10.1109/ICOT.2017.8336099","DOIUrl":"https://doi.org/10.1109/ICOT.2017.8336099","url":null,"abstract":"In this paper, we proposed a friendly human-machine interaction on home care robot. Our system is able to interact with people, provide information and entertainment. In addition, we commit to a better user-experience, making the interaction friendlier and affable. The system is divided into two parts, friendly user interface and friendly Automatic Speech Recognition. The friendly user interface takes a significant responsibility for direct interaction with people. We improve the operating procedures and add a touch mode for operation. We progress the tasks with parallel processing to enhance the fluency of the system, making the operation friendlier. A friendly ASR needs to have ability to handle noisy environment and deal with multi-person conversation. We apply sound source localization to identify the speaker's position and find out the talking person with face recognition and mouth opening recognition in front of the robot. When the robot extracts the user intent from the speaker, the system will decide an appropriate action and display the information on the user interface.","PeriodicalId":297245,"journal":{"name":"2017 International Conference on Orange Technologies (ICOT)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132749605","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 : 2017-12-01DOI: 10.1109/ICOT.2017.8336092
An Dang, Toan H. Vu, Jia-Ching Wang
Deep learning has achieved state of the art in various machine learning problems, such as computer vision, speech recognition, and natural language processing. Sound event detection (SED), which is about recognizing audio events in real-life environments, has attracted a lot of attention recently. Many works have been successful when applying deep learning techniques for the SED problem as can be seen in Detection and Classification of Acoustic Scenes and Events (DCASE) challenge 2016–2017. In this paper, we present a review of the SED problem and discuss different deep learning approaches for the problem.
{"title":"A survey of deep learning for polyphonic sound event detection","authors":"An Dang, Toan H. Vu, Jia-Ching Wang","doi":"10.1109/ICOT.2017.8336092","DOIUrl":"https://doi.org/10.1109/ICOT.2017.8336092","url":null,"abstract":"Deep learning has achieved state of the art in various machine learning problems, such as computer vision, speech recognition, and natural language processing. Sound event detection (SED), which is about recognizing audio events in real-life environments, has attracted a lot of attention recently. Many works have been successful when applying deep learning techniques for the SED problem as can be seen in Detection and Classification of Acoustic Scenes and Events (DCASE) challenge 2016–2017. In this paper, we present a review of the SED problem and discuss different deep learning approaches for the problem.","PeriodicalId":297245,"journal":{"name":"2017 International Conference on Orange Technologies (ICOT)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114216557","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 : 2017-12-01DOI: 10.1109/ICOT.2017.8336126
Yi-Ming Jin, Yun Luo, Wei-Long Zheng, Bao-Liang Lu
This paper explores a fundamental problem of eliminating the differences between source subject and target subject in EEG-based emotion recognition. The major limitation of traditional classification methods is that the lack of domain adaptation and subspace alignment will degrade the performance of cross-subject emotion recognition. To address this problem, we adopt Domain Adaptation Network (DAN) for knowledge transfer, which maintains both feature discriminativeness and domain-invariance during training stage. A feed-forward neural network is constructed by augmenting a few standard layers and a gradient reversal layer. Compared with five traditional methods, DAN outperforms its counterparts and achieves the mean accuracy of 79.19%. Moreover, a visualization of the features learned by DAN is represented in this paper, which intuitively describes the transfer virtue of domain adaptation network.
{"title":"EEG-based emotion recognition using domain adaptation network","authors":"Yi-Ming Jin, Yun Luo, Wei-Long Zheng, Bao-Liang Lu","doi":"10.1109/ICOT.2017.8336126","DOIUrl":"https://doi.org/10.1109/ICOT.2017.8336126","url":null,"abstract":"This paper explores a fundamental problem of eliminating the differences between source subject and target subject in EEG-based emotion recognition. The major limitation of traditional classification methods is that the lack of domain adaptation and subspace alignment will degrade the performance of cross-subject emotion recognition. To address this problem, we adopt Domain Adaptation Network (DAN) for knowledge transfer, which maintains both feature discriminativeness and domain-invariance during training stage. A feed-forward neural network is constructed by augmenting a few standard layers and a gradient reversal layer. Compared with five traditional methods, DAN outperforms its counterparts and achieves the mean accuracy of 79.19%. Moreover, a visualization of the features learned by DAN is represented in this paper, which intuitively describes the transfer virtue of domain adaptation network.","PeriodicalId":297245,"journal":{"name":"2017 International Conference on Orange Technologies (ICOT)","volume":"347 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122548452","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 : 2017-12-01DOI: 10.1109/ICOT.2017.8336082
T. Tekieh, P. Sasanpour
A non destructive optical sensor for recording of neural cell activity has been proposed and its performance and sensitivity has been evaluated theoretically. The sensor structure is based on using surface Plasmon resonance utilizing optical fiber, where thin film of gold layer has been deposited on the surface of core structure. The performance of proposed method has been calculated theoretically using transfer matrix method. The results of analysis show that by selection of proper wavelength for operation, the optical intensity response of sensor will track the voltage pattern of action potential completely. The all optical response of sensor is applicable in recording the electrical activity without any electric contact and destruction of cells accordingly.
{"title":"Fiber optic plasmon resonance sensor for recording action potential; A theoretically evaluated proposal","authors":"T. Tekieh, P. Sasanpour","doi":"10.1109/ICOT.2017.8336082","DOIUrl":"https://doi.org/10.1109/ICOT.2017.8336082","url":null,"abstract":"A non destructive optical sensor for recording of neural cell activity has been proposed and its performance and sensitivity has been evaluated theoretically. The sensor structure is based on using surface Plasmon resonance utilizing optical fiber, where thin film of gold layer has been deposited on the surface of core structure. The performance of proposed method has been calculated theoretically using transfer matrix method. The results of analysis show that by selection of proper wavelength for operation, the optical intensity response of sensor will track the voltage pattern of action potential completely. The all optical response of sensor is applicable in recording the electrical activity without any electric contact and destruction of cells accordingly.","PeriodicalId":297245,"journal":{"name":"2017 International Conference on Orange Technologies (ICOT)","volume":"171 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116358810","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 : 2017-12-01DOI: 10.1109/ICOT.2017.8336096
Simon Lui, David Grunberg
Music and sound affect human emotion. There are many previous studies into the effect of music and sound on humans, but no work has yet studied the effect of silence. However, during silent performances such as John Cages 4'33", audiences are often observed to be aroused during the performance and relieved afterwards. In this paper we investigated the power of silence. Our hypothesis is that silence can change the physiological arousal, depending on the nature and perception of silence. We measured arousal by heart rate, respiration rate and skin conductance. We found that skin conductance was the most effective biofeedback to measure arousal induced by silence. The experimental results suggested that there were two kinds of silence. Intensifying silence increased the physiological arousal, and Relieving silence reduced physiological arousal. The experimental outcome can be potentially useful for music therapy and in stress relieving exercises.
{"title":"Using skin conductance to evaluate the effect of music silence to relieve and intensify arousal","authors":"Simon Lui, David Grunberg","doi":"10.1109/ICOT.2017.8336096","DOIUrl":"https://doi.org/10.1109/ICOT.2017.8336096","url":null,"abstract":"Music and sound affect human emotion. There are many previous studies into the effect of music and sound on humans, but no work has yet studied the effect of silence. However, during silent performances such as John Cages 4'33\", audiences are often observed to be aroused during the performance and relieved afterwards. In this paper we investigated the power of silence. Our hypothesis is that silence can change the physiological arousal, depending on the nature and perception of silence. We measured arousal by heart rate, respiration rate and skin conductance. We found that skin conductance was the most effective biofeedback to measure arousal induced by silence. The experimental results suggested that there were two kinds of silence. Intensifying silence increased the physiological arousal, and Relieving silence reduced physiological arousal. The experimental outcome can be potentially useful for music therapy and in stress relieving exercises.","PeriodicalId":297245,"journal":{"name":"2017 International Conference on Orange Technologies (ICOT)","volume":" 17","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132158287","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 : 2017-12-01DOI: 10.1109/ICOT.2017.8336120
Chuan-Pin Lu, Zhi-he Cai, Yuntian Lin
Edible mushrooms are one of the important agricultural products, and their ingredients, having huge economic benefits, are beneficial to human health. Button mushrooms are the most commercially grown mushrooms globally. With the progress of science and technology, the method for growing mushrooms has progressed to the mode of closed greenhouse cultivation. With a stable environment that is not influenced by external climate changes, greenhouse microclimate can be used to replace natural climate. However, the commonly used mushroom greenhouse control system in Taiwan used an on/off control mode, which were incapable of enabling precise adjustments based on the greenhouse size and current greenhouse conditions. Instead, the system parameters had to be set by mushroom farmers based on their own experience, where sufficient experience was required to find the optimal results. To this end, this study proposed a Fuzzy control system of greenhouse microclimate for mushrooms to solve this problem, where a Fuzzy microclimate regulator was employed to adjust the CO2 concentration in a real-time manner, and the information was transmitted to mobile devices instantly through technology of internet of things, which enabled farmers to keep abreast of the greenhouse conditions at any time. The performance of three control methods was compared in this study, in which the results of mushroom spawn running were used to verify that this system could exactly achieve higher plant quality.
{"title":"Research and development of a fuzzy control system of greenhouse microclimate for button mushroom","authors":"Chuan-Pin Lu, Zhi-he Cai, Yuntian Lin","doi":"10.1109/ICOT.2017.8336120","DOIUrl":"https://doi.org/10.1109/ICOT.2017.8336120","url":null,"abstract":"Edible mushrooms are one of the important agricultural products, and their ingredients, having huge economic benefits, are beneficial to human health. Button mushrooms are the most commercially grown mushrooms globally. With the progress of science and technology, the method for growing mushrooms has progressed to the mode of closed greenhouse cultivation. With a stable environment that is not influenced by external climate changes, greenhouse microclimate can be used to replace natural climate. However, the commonly used mushroom greenhouse control system in Taiwan used an on/off control mode, which were incapable of enabling precise adjustments based on the greenhouse size and current greenhouse conditions. Instead, the system parameters had to be set by mushroom farmers based on their own experience, where sufficient experience was required to find the optimal results. To this end, this study proposed a Fuzzy control system of greenhouse microclimate for mushrooms to solve this problem, where a Fuzzy microclimate regulator was employed to adjust the CO2 concentration in a real-time manner, and the information was transmitted to mobile devices instantly through technology of internet of things, which enabled farmers to keep abreast of the greenhouse conditions at any time. The performance of three control methods was compared in this study, in which the results of mushroom spawn running were used to verify that this system could exactly achieve higher plant quality.","PeriodicalId":297245,"journal":{"name":"2017 International Conference on Orange Technologies (ICOT)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122985876","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 : 2017-12-01DOI: 10.1109/ICOT.2017.8336095
Dania Murad, Fenyi Ye, Michael D. Barone, Ye Wang
Advances in inertial sensors technology used in smartwatches make it possible for movement-based therapies to be both therapeutic and evaluative at the same time. Therapeutic Instrumental Music Performance (TIMP) uses instrument playing for motor rehabilitation. However, applications of TIMP are not generalizable to a variety of motor disabilities and do not often consider the benefits of social interaction. To address the missing opportunities and potential strengths of an integrated technological and therapeutic application, we introduce MIMES (Motion Initiated Music Ensemble with Sensors). MIMES uses commercially available smartwatches and hand gesture recognition techniques to trigger instrumental sounds with simple hand gestures and support multiple users. We developed this system to provide rehabilitation programs and music therapy for a variety of individuals with motor impairments to improve both physical and mental health outcomes. We discuss MIMES system architecture, gesture recognition algorithm, future experimental design and a self-evaluation module to test the efficacy of the technology for rehabilitation.
{"title":"Motion initiated music ensemble with sensors for motor rehabilitation","authors":"Dania Murad, Fenyi Ye, Michael D. Barone, Ye Wang","doi":"10.1109/ICOT.2017.8336095","DOIUrl":"https://doi.org/10.1109/ICOT.2017.8336095","url":null,"abstract":"Advances in inertial sensors technology used in smartwatches make it possible for movement-based therapies to be both therapeutic and evaluative at the same time. Therapeutic Instrumental Music Performance (TIMP) uses instrument playing for motor rehabilitation. However, applications of TIMP are not generalizable to a variety of motor disabilities and do not often consider the benefits of social interaction. To address the missing opportunities and potential strengths of an integrated technological and therapeutic application, we introduce MIMES (Motion Initiated Music Ensemble with Sensors). MIMES uses commercially available smartwatches and hand gesture recognition techniques to trigger instrumental sounds with simple hand gestures and support multiple users. We developed this system to provide rehabilitation programs and music therapy for a variety of individuals with motor impairments to improve both physical and mental health outcomes. We discuss MIMES system architecture, gesture recognition algorithm, future experimental design and a self-evaluation module to test the efficacy of the technology for rehabilitation.","PeriodicalId":297245,"journal":{"name":"2017 International Conference on Orange Technologies (ICOT)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117304334","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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