Zhaolong Gou, Shoki Tsugawa, Atthapon Korkaew, S. Yamaguchi, Thiamthep Khamket, Bundit Manaskasemsak, A. Rungsawang
{"title":"An interest-based tour planning tool by process mining from Twitter","authors":"Zhaolong Gou, Shoki Tsugawa, Atthapon Korkaew, S. Yamaguchi, Thiamthep Khamket, Bundit Manaskasemsak, A. Rungsawang","doi":"10.1109/GCCE.2016.7800542","DOIUrl":"https://doi.org/10.1109/GCCE.2016.7800542","url":null,"abstract":"In this paper, we proposed a new concept of tour, named interest-based tour, and based on this new concept, we have developed a tour planning tool. The interest-based tour is literally a tour to visit places related to a given interest. Interest argued in this paper is not limited to only point such as things and places. We extend the concept of interest to line (e.g. a famous person's history) and area (e.g. the Age of Discovery). Social network site (SNS) enables us to find travel experiences of visiting places related to the interest. So we use Twitter to collect travel experiences related to the given interest, then use process mining technique to make these experiences into a tour plan.","PeriodicalId":416104,"journal":{"name":"2016 IEEE 5th Global Conference on Consumer Electronics","volume":"34 10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116554177","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}
{"title":"Gait monitoring for human activity recognition using perceptive shoe based on hetero-core fiber optics","authors":"Y. Koyama, M. Nishiyama, Kazuhiro Watanabe","doi":"10.1109/GCCE.2016.7800431","DOIUrl":"https://doi.org/10.1109/GCCE.2016.7800431","url":null,"abstract":"Gait monitoring system for human activity recognition is demonstrated using a perceptive shoe based on hetero-core fiber optics. The insole with hetero-core fiber monitors foot pressure without temperature dependency and constraint to human body. Monitoring test was performed by a human subject doing basic activities which are walking, walking on the spot, running, standing, and sitting on a chair. The human activities were successfully monitored by means of perceptive shoe using hetero-core fiber optics. In addition, walking on the spot and standing were identified using only front weight response.","PeriodicalId":416104,"journal":{"name":"2016 IEEE 5th Global Conference on Consumer Electronics","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131707373","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}
Kazuki Arima, Masayuki Kaneko, Takashi Murakami, M. Isshiki, Hiroshi Sugimura
{"title":"User experience for HEMS based on gamification and life log","authors":"Kazuki Arima, Masayuki Kaneko, Takashi Murakami, M. Isshiki, Hiroshi Sugimura","doi":"10.1109/GCCE.2016.7800506","DOIUrl":"https://doi.org/10.1109/GCCE.2016.7800506","url":null,"abstract":"After Great East Japan Earthquake, we increase importance to conserve electric power consumption by using Home Energy Management System, HEMS for short. However, HEMS is insufficient approaches other than change in figure. This study develops user experience as a service for consumers and estimates the system.","PeriodicalId":416104,"journal":{"name":"2016 IEEE 5th Global Conference on Consumer Electronics","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132743237","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}
{"title":"Decision support for the QoS-aware 4G mobile networks through data mining","authors":"Tian-Hsiang Huang, Liang-Bi Chen","doi":"10.1109/GCCE.2016.7800485","DOIUrl":"https://doi.org/10.1109/GCCE.2016.7800485","url":null,"abstract":"The Network Management Center needs to be highly intelligent to control the network devices for Quality of Service (QoS) assurance. To make sure the traffic of the call and the data as well as the satisfaction from the customers, we develop a decision support (DS) mechanism for the 4G mobile networking with QoS awareness. In this study, real experimental results are explored from the WiMAX equipment. The MRTR parameter is automatically adjusted by the K-Means clustering algorithm. We show that automated DS mechanism can be achieved with QoS guarantee for 4G mobile network.","PeriodicalId":416104,"journal":{"name":"2016 IEEE 5th Global Conference on Consumer Electronics","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133746589","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}
{"title":"A sound recognition method with incrementally taking sound stream into consideration","authors":"M. Iwaki, Shun Nakayama","doi":"10.1109/GCCE.2016.7800401","DOIUrl":"https://doi.org/10.1109/GCCE.2016.7800401","url":null,"abstract":"Domestic sound recognition is an important ability for our daily lives. Although we can recognize sounds as they arrive, conventional automatic sound/speech recognition systems cannot behave in a similar manner. This paper proposes a domestic sound recognition method that can incrementally take sound streams into consideration during the progress of time. This is useful for advancing human-machine interfaces, especially for hearing disabled persons.","PeriodicalId":416104,"journal":{"name":"2016 IEEE 5th Global Conference on Consumer Electronics","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132093680","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}
Wenshan Tang, Zhaolong Gou, Mohd Anuaruddin Bin Ahmadon, S. Yamaguchi
{"title":"On verification of implementation of security specification with Petri nets' protocol inheritance","authors":"Wenshan Tang, Zhaolong Gou, Mohd Anuaruddin Bin Ahmadon, S. Yamaguchi","doi":"10.1109/GCCE.2016.7800491","DOIUrl":"https://doi.org/10.1109/GCCE.2016.7800491","url":null,"abstract":"In this paper, we tackled a problem: Given a security specification and its implementation, does the implementation satisfy the security specification? We first formalized the problem in terms of Petri nets. Next, we gave a polynomial time procedure to solve the problem based on Petri nets' analysis technique. Then we illustrated the procedure with an example to show the effectiveness.","PeriodicalId":416104,"journal":{"name":"2016 IEEE 5th Global Conference on Consumer Electronics","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132337753","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}
{"title":"Integrated remote controller distinguishing home appliances by deep learning","authors":"T. Hase, T. Sakao","doi":"10.1109/GCCE.2016.7800350","DOIUrl":"https://doi.org/10.1109/GCCE.2016.7800350","url":null,"abstract":"This paper describes a method for distinguishing various home appliances with separate remote controllers and integrating control with a single remote controller. We propose that images of home appliances can be obtained with a camera, after which the appliances can be distinguished from each other by a convolutional neural network. We developed an experimental system to evaluate our proposed method and demonstrated that the system could distinguish different home appliances with a high accuracy of 99%.","PeriodicalId":416104,"journal":{"name":"2016 IEEE 5th Global Conference on Consumer Electronics","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120996866","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}
{"title":"Denoising of electrocardiogram measurement system based on statistical signal processing","authors":"D. Sueaseenak","doi":"10.1109/GCCE.2016.7800349","DOIUrl":"https://doi.org/10.1109/GCCE.2016.7800349","url":null,"abstract":"Electrocardiogram(ECG) signal is the most important of medical information used to diagnosis and indicates the condition of the heart in humans. In a design and construction of single-lead electrocardiogram measurement system using discrete component incorporated with data acquisition(DAQ) was a problem from the noise or external interference. The modern technology in signals processing used to perform a noise canceling in electrocardiography. In this paper, we propose the simulation study of modern signal processing technique to separate the single channel of ECG signals from noise and others interference. The ECG signal was performed a denoising using ICA. A useful ICA algorithm called FAS-TICA is a highperformance algorithm to divide multiple linear combinations of ECG and noise to statistically independent elements. Our experimental results indicate the robustness of ICA after applied ECG is higher than before applied ICA, since the correlation coefficient and SNR is improved with minimum error.","PeriodicalId":416104,"journal":{"name":"2016 IEEE 5th Global Conference on Consumer Electronics","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121553053","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}
Swe Nwe Nwe Htun, Thi Thi Zin, Mitsuhiro Yokota, Khin Mo Mo Tun
{"title":"User-intent visual information ranking system","authors":"Swe Nwe Nwe Htun, Thi Thi Zin, Mitsuhiro Yokota, Khin Mo Mo Tun","doi":"10.1109/GCCE.2016.7800316","DOIUrl":"https://doi.org/10.1109/GCCE.2016.7800316","url":null,"abstract":"Nowadays, the rapid growth of World Wide Web has been resulted in an exponential growth of the data and visual information with full of interesting bits of contents that can be found online. In such situations, finding out images that satisfy user intentions from a huge collection is more and more required, which emphasizes the importance of web image search and visual information ranking system as filters for users. For these reasons, we propose user-centric visual information rank and re-ranking system for web image search to explore the global trends in innovation by combining the sharing patterns of social network. Specifically, we establish an embedded Markov Chain Model along with local and global image features of visual information content for ranking image search engine. In order to evaluate the performance of proposed method, we will conduct a series of experiments based on social media platforms and a real-life social Yelp network dataset with respect to consumer perspectives.","PeriodicalId":416104,"journal":{"name":"2016 IEEE 5th Global Conference on Consumer Electronics","volume":"120 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114806032","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}
{"title":"Deep learning attack for physical unclonable function","authors":"Y. Ikezaki, Y. Nozaki, M. Yoshikawa","doi":"10.1109/GCCE.2016.7800478","DOIUrl":"https://doi.org/10.1109/GCCE.2016.7800478","url":null,"abstract":"The semiconductor counterfeiting has become a serious problem. Several Physical Unclonable Functions (PUFs), which utilizes the variation when manufacturing, are proposed as a countermeasure for imitation electronics. An arbiter PUF is one of the most popular PUFs. The operation of an arbiter PUF can be expressed by using a delay model. An arbiter PUF is reported to be attacked by forcing them to learn the delay model. Almost all of previous studies used SVM for the learning. This study proposes a new attack method using a deep learning technique. Experiments prove the validity of the proposed method.","PeriodicalId":416104,"journal":{"name":"2016 IEEE 5th Global Conference on Consumer Electronics","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114900817","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}