Pub Date : 2019-06-01DOI: 10.1109/icce-asia46551.2019.8942207
Nandar Nyein Wai, S. Siyang, T. Pobkrut, T. Thepudom, Chayanin Kunarak, T. Kerdcharoen
Continuous monitoring and control of malodor emission are increasingly in great demand in several industries. In this work, a wireless network of electronic nose (e-nose) was developed to monitor industrial odor. Five stations of e-nose are placed around a brewery located near Bangkok, Thailand. The stations continuously monitor the odor in real time. Running standard deviation of the sensing signals is used to determine the odor event (large fluctuation of the odor). It was found that the station no. 3 (located near the wastewater treatment plant in the brewery) displays the highest response as compared to the others. Further implementation of filtering algorithms makes the devices a predictive tool for odor monitoring and control.
{"title":"Application of Electronic Nose Stations for Air Quality Monitoring in a Brewery","authors":"Nandar Nyein Wai, S. Siyang, T. Pobkrut, T. Thepudom, Chayanin Kunarak, T. Kerdcharoen","doi":"10.1109/icce-asia46551.2019.8942207","DOIUrl":"https://doi.org/10.1109/icce-asia46551.2019.8942207","url":null,"abstract":"Continuous monitoring and control of malodor emission are increasingly in great demand in several industries. In this work, a wireless network of electronic nose (e-nose) was developed to monitor industrial odor. Five stations of e-nose are placed around a brewery located near Bangkok, Thailand. The stations continuously monitor the odor in real time. Running standard deviation of the sensing signals is used to determine the odor event (large fluctuation of the odor). It was found that the station no. 3 (located near the wastewater treatment plant in the brewery) displays the highest response as compared to the others. Further implementation of filtering algorithms makes the devices a predictive tool for odor monitoring and control.","PeriodicalId":117814,"journal":{"name":"2019 IEEE International Conference on Consumer Electronics - Asia (ICCE-Asia)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114898393","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 : 2019-06-01DOI: 10.1109/icce-asia46551.2019.8941603
K. Woradit, Sumet Srirai, Siraphop Kitjarunerungroj, Tippawan Kodmatcha, Pubet Sangmahamad
This paper maximizes the minimum downlink secrecy throughput of the multi-user orthogonal frequency division multiplexing access (OFDMA) network with simultaneous wireless information and power transfer (SWIPT), where the optimizers include subcarrier allocation and power splitting ratio. The network is composed of a base station, and several receiver nodes (users). Every user does not have its own power supply, and uses the power splitting scheme to harvest energy and to decode information simultaneously from the received signal. Every user can eavesdrop all other users' subcarriers, and more than one subcarriers can be allocated to a user. We aim to maximize the total instantaneous secrecy rate of the weakest user. All user nodes experience the same path loss and shadowing, but dissimilar fast fading. To jointly allocate subcarriers and find the power splitting ratios for all users, the full search is tedious. Therefore, we propose the algorithm, based on particle swarm optimizations. The obtained average total instantaneous secrecy rate of the weakest user indicate that the total transmit power should be high enough to overcome the minimum operating energy. Increasing the total transmit power beyond a threshold does not increase the average total instantaneous secrecy rate of the weakest user.
{"title":"Multi-user Secrecy SWIPT for 5G OFDMA Networks with Particle Swarm Optimizations","authors":"K. Woradit, Sumet Srirai, Siraphop Kitjarunerungroj, Tippawan Kodmatcha, Pubet Sangmahamad","doi":"10.1109/icce-asia46551.2019.8941603","DOIUrl":"https://doi.org/10.1109/icce-asia46551.2019.8941603","url":null,"abstract":"This paper maximizes the minimum downlink secrecy throughput of the multi-user orthogonal frequency division multiplexing access (OFDMA) network with simultaneous wireless information and power transfer (SWIPT), where the optimizers include subcarrier allocation and power splitting ratio. The network is composed of a base station, and several receiver nodes (users). Every user does not have its own power supply, and uses the power splitting scheme to harvest energy and to decode information simultaneously from the received signal. Every user can eavesdrop all other users' subcarriers, and more than one subcarriers can be allocated to a user. We aim to maximize the total instantaneous secrecy rate of the weakest user. All user nodes experience the same path loss and shadowing, but dissimilar fast fading. To jointly allocate subcarriers and find the power splitting ratios for all users, the full search is tedious. Therefore, we propose the algorithm, based on particle swarm optimizations. The obtained average total instantaneous secrecy rate of the weakest user indicate that the total transmit power should be high enough to overcome the minimum operating energy. Increasing the total transmit power beyond a threshold does not increase the average total instantaneous secrecy rate of the weakest user.","PeriodicalId":117814,"journal":{"name":"2019 IEEE International Conference on Consumer Electronics - Asia (ICCE-Asia)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121542782","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 : 2019-06-01DOI: 10.1109/icce-asia46551.2019.8941605
Mon Myat Swe, Tanthip Eamsa-ard, T. Srikhirin, T. Kerdcharoen
In this paper, an electronic nose comprising an array of polymer and functionalized single-walled carbon nanotube composite gas sensors was developed for monitoring the freshness level of beef in order to prevent people from consuming unhealthy meat. The three types of nanocomposite sensors were tested with various volatile organic compounds in static system. The sensors show a good response to ammonia produced mainly from the beef spoilage. Accordingly it is suitable for detecting the spoilage of beef. The results reveal that nanocomposite gas sensors made of polyaniline (PANI)/ SWNTs-COOH show the highest sensitivity to ammonia. The raw beef was prepared into pieces and kept at room temperature for 5 days. The beef samples were monitored with e-nose day after day to know the meat spoilage and the diurnal freshness of beef could be discriminated by using principal component analysis (PCA). In conclusion, this electronic nose system has the potential to be applied in the real detection of freshness level.
{"title":"Monitoring the Freshness Level of Beef Using Nanocomposite Gas Sensors in Electronic nose","authors":"Mon Myat Swe, Tanthip Eamsa-ard, T. Srikhirin, T. Kerdcharoen","doi":"10.1109/icce-asia46551.2019.8941605","DOIUrl":"https://doi.org/10.1109/icce-asia46551.2019.8941605","url":null,"abstract":"In this paper, an electronic nose comprising an array of polymer and functionalized single-walled carbon nanotube composite gas sensors was developed for monitoring the freshness level of beef in order to prevent people from consuming unhealthy meat. The three types of nanocomposite sensors were tested with various volatile organic compounds in static system. The sensors show a good response to ammonia produced mainly from the beef spoilage. Accordingly it is suitable for detecting the spoilage of beef. The results reveal that nanocomposite gas sensors made of polyaniline (PANI)/ SWNTs-COOH show the highest sensitivity to ammonia. The raw beef was prepared into pieces and kept at room temperature for 5 days. The beef samples were monitored with e-nose day after day to know the meat spoilage and the diurnal freshness of beef could be discriminated by using principal component analysis (PCA). In conclusion, this electronic nose system has the potential to be applied in the real detection of freshness level.","PeriodicalId":117814,"journal":{"name":"2019 IEEE International Conference on Consumer Electronics - Asia (ICCE-Asia)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126278627","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 : 2019-06-01DOI: 10.1109/icce-asia46551.2019.8942190
This paper aims to investigate the TTSD (Triple Threshold Statistical Detection) filter because the TTSD filter, which has been proposed since 2018, is one of the highest recent powerful noise eliminating procedures because an auxiliary condition is first implemented in this procedure which satisfactorily solves the disadvantage of previous noise detection procedures. Moreover, the noise signature is estimated for all pixels and statistically checked with the first threshold to classify noisy pixels succeeds by the statistically checking of the computed pixel with the 2nd and 3rd threshold levels where these thresholds are based on both Gaussian statistical dispersion (mean and standard deviation) and quartile dispersion (median). In this simulation part, many contaminated images, which are comprised of Resolution, Girl, Lena, Pepper, Mobile and Pentagon under salt and pepper noise at many noise densities in the noisy detecting accuracy, noiseless detecting accuracy and overall detecting accuracy perspective.
{"title":"Competence Investigation of Noise Detecting Procedure Found on TTSD (Triple Threshold Statistical Detection) filter for SPN","authors":"","doi":"10.1109/icce-asia46551.2019.8942190","DOIUrl":"https://doi.org/10.1109/icce-asia46551.2019.8942190","url":null,"abstract":"This paper aims to investigate the TTSD (Triple Threshold Statistical Detection) filter because the TTSD filter, which has been proposed since 2018, is one of the highest recent powerful noise eliminating procedures because an auxiliary condition is first implemented in this procedure which satisfactorily solves the disadvantage of previous noise detection procedures. Moreover, the noise signature is estimated for all pixels and statistically checked with the first threshold to classify noisy pixels succeeds by the statistically checking of the computed pixel with the 2nd and 3rd threshold levels where these thresholds are based on both Gaussian statistical dispersion (mean and standard deviation) and quartile dispersion (median). In this simulation part, many contaminated images, which are comprised of Resolution, Girl, Lena, Pepper, Mobile and Pentagon under salt and pepper noise at many noise densities in the noisy detecting accuracy, noiseless detecting accuracy and overall detecting accuracy perspective.","PeriodicalId":117814,"journal":{"name":"2019 IEEE International Conference on Consumer Electronics - Asia (ICCE-Asia)","volume":"116 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133327963","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 : 2019-06-01DOI: 10.1109/icce-asia46551.2019.8942223
S. Anantathanasarn, Thotsaporn Srisaard, Jakkapat Wattanarat, Nuttawut Budsayaplakorn
This paper describes application of Artificial Intelligence using machine learning and deep learning at our laser diode module manufacturing facility. Implementing A.I. into data analysis and classification problems, various benefits such as quality control, human work reduction and efficient usage of big data have been obtained.
{"title":"A.I. in Laser Diode Module Manufacturing","authors":"S. Anantathanasarn, Thotsaporn Srisaard, Jakkapat Wattanarat, Nuttawut Budsayaplakorn","doi":"10.1109/icce-asia46551.2019.8942223","DOIUrl":"https://doi.org/10.1109/icce-asia46551.2019.8942223","url":null,"abstract":"This paper describes application of Artificial Intelligence using machine learning and deep learning at our laser diode module manufacturing facility. Implementing A.I. into data analysis and classification problems, various benefits such as quality control, human work reduction and efficient usage of big data have been obtained.","PeriodicalId":117814,"journal":{"name":"2019 IEEE International Conference on Consumer Electronics - Asia (ICCE-Asia)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115087926","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 : 2019-06-01DOI: 10.1109/icce-asia46551.2019.8942188
Yongwoon Hwang, Woosung Choi, Huicheol An, Chung-Ghiu Lee
In this paper, we focus on fall decision algorithm using a microcontroller module. We measure multiple sensor data and calculate signal vector magnitude (SVM) of acceleration, angular velocity, and angular variation to decide whether the falling accident occurs or not. We suggest a changeable velocity SVM threshold-based algorithm to implement an algorithm for detecting/deciding fall accidents.
{"title":"Fall decision algorithm based on changeable velocity SVM threshold","authors":"Yongwoon Hwang, Woosung Choi, Huicheol An, Chung-Ghiu Lee","doi":"10.1109/icce-asia46551.2019.8942188","DOIUrl":"https://doi.org/10.1109/icce-asia46551.2019.8942188","url":null,"abstract":"In this paper, we focus on fall decision algorithm using a microcontroller module. We measure multiple sensor data and calculate signal vector magnitude (SVM) of acceleration, angular velocity, and angular variation to decide whether the falling accident occurs or not. We suggest a changeable velocity SVM threshold-based algorithm to implement an algorithm for detecting/deciding fall accidents.","PeriodicalId":117814,"journal":{"name":"2019 IEEE International Conference on Consumer Electronics - Asia (ICCE-Asia)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126013046","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 : 2019-06-01DOI: 10.1109/icce-asia46551.2019.8941607
Angkana Suwanjatuporn, T. Chintakovid
Depression is a mental illness that affects physical performance for all ages. Particularly, the elderly people can experience symptoms of depression due to changes in their bodies, minds and social life. Absence of social status and reliance on family members are key reasons affecting the elderly's mental health. To treat symptoms of depression in the elderly, a procedure involves both a physical treatment(i.e; using medication and electricity to stimulate the brain) and a psycho-socially treatment (i.e; finding any social and environmental factor causing the illness and providing consultations). This research presents a development of a virtual reality system to treat depression in the elderly. Virtual images and environment of a garden were created to urge a belief and feeling that senior users were in a real environment. This virtual reality system with a 360-degree virtual garden view would encourage the elderly with depression symptoms to move their arms, thereby helping to stimulate their brain functions and speed up the process of depression treatment.
{"title":"Using a Virtual Reality System to Improve Quality of Life of the Elderly People with Depression","authors":"Angkana Suwanjatuporn, T. Chintakovid","doi":"10.1109/icce-asia46551.2019.8941607","DOIUrl":"https://doi.org/10.1109/icce-asia46551.2019.8941607","url":null,"abstract":"Depression is a mental illness that affects physical performance for all ages. Particularly, the elderly people can experience symptoms of depression due to changes in their bodies, minds and social life. Absence of social status and reliance on family members are key reasons affecting the elderly's mental health. To treat symptoms of depression in the elderly, a procedure involves both a physical treatment(i.e; using medication and electricity to stimulate the brain) and a psycho-socially treatment (i.e; finding any social and environmental factor causing the illness and providing consultations). This research presents a development of a virtual reality system to treat depression in the elderly. Virtual images and environment of a garden were created to urge a belief and feeling that senior users were in a real environment. This virtual reality system with a 360-degree virtual garden view would encourage the elderly with depression symptoms to move their arms, thereby helping to stimulate their brain functions and speed up the process of depression treatment.","PeriodicalId":117814,"journal":{"name":"2019 IEEE International Conference on Consumer Electronics - Asia (ICCE-Asia)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123094565","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 : 2019-06-01DOI: 10.1109/icce-asia46551.2019.8942199
Yoshihiro Ito, Rui Nakayama, Natsumi Nakao
This paper studies the relationship between QoS and QoE for Web services which utilize the parallax effect by experiment. In the experiment, the authors consider 8 actual Japanese Web services and assess QoE and QoS of them; they analize the results by the principal component analysis and the linear multiple regression analysis. The experimental results show that, some QoE parameters cannot be affected QoS degradation by using the parallax effect. Therefore, even if QoS is deteriorated, the parallax effect can keep some aspects of QoE high. From these results, the authors suggest that if we make Web pages with the parallax effect properly, they can become tolerant to QoS degradation.
{"title":"Study of Relationship between QoS and QoE for Web Services with Parallax Effect","authors":"Yoshihiro Ito, Rui Nakayama, Natsumi Nakao","doi":"10.1109/icce-asia46551.2019.8942199","DOIUrl":"https://doi.org/10.1109/icce-asia46551.2019.8942199","url":null,"abstract":"This paper studies the relationship between QoS and QoE for Web services which utilize the parallax effect by experiment. In the experiment, the authors consider 8 actual Japanese Web services and assess QoE and QoS of them; they analize the results by the principal component analysis and the linear multiple regression analysis. The experimental results show that, some QoE parameters cannot be affected QoS degradation by using the parallax effect. Therefore, even if QoS is deteriorated, the parallax effect can keep some aspects of QoE high. From these results, the authors suggest that if we make Web pages with the parallax effect properly, they can become tolerant to QoS degradation.","PeriodicalId":117814,"journal":{"name":"2019 IEEE International Conference on Consumer Electronics - Asia (ICCE-Asia)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131911709","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 : 2019-06-01DOI: 10.1109/icce-asia46551.2019.8942200
P. Leelaprute, S. Yamaguchi
We have been researching and developing the system called “Tour Miner” which creates a tour plan suitable for individual preferences or interests from the information accumulated in SNS. In this paper, we proposed a method to extract travel records from check-in information accumulated in SNS sharing location information “Foursquare” and constructed a database of travel records. In addition, we proposed a method to select travel records matching personal preferences and interests from the database. As a result of applying the proposed method to the eight examples, it was possible to obtain a sufficient number of travel records that can support the preparation of the tour plan.
{"title":"Tour Miner: Mining System of Tour Plans from SNS: Extraction of Travel Records from Check-in Information","authors":"P. Leelaprute, S. Yamaguchi","doi":"10.1109/icce-asia46551.2019.8942200","DOIUrl":"https://doi.org/10.1109/icce-asia46551.2019.8942200","url":null,"abstract":"We have been researching and developing the system called “Tour Miner” which creates a tour plan suitable for individual preferences or interests from the information accumulated in SNS. In this paper, we proposed a method to extract travel records from check-in information accumulated in SNS sharing location information “Foursquare” and constructed a database of travel records. In addition, we proposed a method to select travel records matching personal preferences and interests from the database. As a result of applying the proposed method to the eight examples, it was possible to obtain a sufficient number of travel records that can support the preparation of the tour plan.","PeriodicalId":117814,"journal":{"name":"2019 IEEE International Conference on Consumer Electronics - Asia (ICCE-Asia)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114347300","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 : 2019-06-01DOI: 10.1109/icce-asia46551.2019.8941593
Shinfeng D. Lin, Kuanyuan Chen
An illumination invariant thermal face recognition using convolutional neural network is proposed. The proposed CNN model includes training phase and testing phase. The convolutional layer of CNN model is utilized to extract features. This produces a feature map in the output image and the feature maps are fed to the next layer. The output from the last pooling layer is flattened and fed into a fully connected layer (FC layer). The goal of FC layer is to employ these features for classifying the input image into various classes based on the training datasets. Compared with the traditional thermal face recognition, experimental results demonstrate the superiority of the proposed method.
{"title":"Illumination Invariant Thermal Face Recognition using Convolutional Neural Network","authors":"Shinfeng D. Lin, Kuanyuan Chen","doi":"10.1109/icce-asia46551.2019.8941593","DOIUrl":"https://doi.org/10.1109/icce-asia46551.2019.8941593","url":null,"abstract":"An illumination invariant thermal face recognition using convolutional neural network is proposed. The proposed CNN model includes training phase and testing phase. The convolutional layer of CNN model is utilized to extract features. This produces a feature map in the output image and the feature maps are fed to the next layer. The output from the last pooling layer is flattened and fed into a fully connected layer (FC layer). The goal of FC layer is to employ these features for classifying the input image into various classes based on the training datasets. Compared with the traditional thermal face recognition, experimental results demonstrate the superiority of the proposed method.","PeriodicalId":117814,"journal":{"name":"2019 IEEE International Conference on Consumer Electronics - Asia (ICCE-Asia)","volume":"18 10","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113934573","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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