Pub Date : 2015-06-06DOI: 10.1109/ICCE-TW.2015.7216945
Wei-Tsung Su, W. Liu, Chao-Lieh Chen, Tsung-Pao Chen
Multi-layer cloud network is a new paradigm of mobile cloud computing. In multi-layer cloud networks, any device could augment its resources by offloading their tasks to public clouds, private clouds, or even user devices. However, it is difficult to handle access control on data stored in different clouds which may offer various access control mechanisms. In this paper, the cloud access control (CAC) is proposed to provide a universal access control on data, no matter where the data is stored in cloud networks. Data owners could easily specify who, when, and how to access their data in cloud access control expression language (CACEL). Compared to existing expression languages, such as ORDL and XACML, CACEL is more suitable for cloud access control since it is initially designed for protecting data in cloud networks.
{"title":"Cloud access control in multi-layer cloud networks","authors":"Wei-Tsung Su, W. Liu, Chao-Lieh Chen, Tsung-Pao Chen","doi":"10.1109/ICCE-TW.2015.7216945","DOIUrl":"https://doi.org/10.1109/ICCE-TW.2015.7216945","url":null,"abstract":"Multi-layer cloud network is a new paradigm of mobile cloud computing. In multi-layer cloud networks, any device could augment its resources by offloading their tasks to public clouds, private clouds, or even user devices. However, it is difficult to handle access control on data stored in different clouds which may offer various access control mechanisms. In this paper, the cloud access control (CAC) is proposed to provide a universal access control on data, no matter where the data is stored in cloud networks. Data owners could easily specify who, when, and how to access their data in cloud access control expression language (CACEL). Compared to existing expression languages, such as ORDL and XACML, CACEL is more suitable for cloud access control since it is initially designed for protecting data in cloud networks.","PeriodicalId":340402,"journal":{"name":"2015 IEEE International Conference on Consumer Electronics - Taiwan","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114617448","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 : 2015-06-06DOI: 10.1109/ICCE-TW.2015.7217028
Zih-Yang Dang, Jiann-Der Lee
This paper presents a real-time automatic obstacle avoidance system using the depth map provided by a RGBD sensor mounted on a mobile robot. A set of intelligent fuzzy rules are designed to construct a safe path to avoid obstacles in the unknown environment. According to the experimental results, this system has good performance while compared with the previous approaches and can work in dark environment.
{"title":"Fuzzy-based obstacle avoidance for a mobile robot navigation in indoor environment","authors":"Zih-Yang Dang, Jiann-Der Lee","doi":"10.1109/ICCE-TW.2015.7217028","DOIUrl":"https://doi.org/10.1109/ICCE-TW.2015.7217028","url":null,"abstract":"This paper presents a real-time automatic obstacle avoidance system using the depth map provided by a RGBD sensor mounted on a mobile robot. A set of intelligent fuzzy rules are designed to construct a safe path to avoid obstacles in the unknown environment. According to the experimental results, this system has good performance while compared with the previous approaches and can work in dark environment.","PeriodicalId":340402,"journal":{"name":"2015 IEEE International Conference on Consumer Electronics - Taiwan","volume":"261 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129419290","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 : 2015-06-06DOI: 10.1109/ICCE-TW.2015.7216903
T. Yamasaki, Shumpei Sano, Tao Mei
In this paper, we analyze the relationships between social popularity (i.e., the numbers of views, comments, and favorites) and text tags in image/video sharing services. We also show the tags which affect social popularity in each service and discuss the characteristics of popular contents in each service by analyzing these results.
{"title":"Revealing relationships between folksonomy and social popularity score in image/video sharing services","authors":"T. Yamasaki, Shumpei Sano, Tao Mei","doi":"10.1109/ICCE-TW.2015.7216903","DOIUrl":"https://doi.org/10.1109/ICCE-TW.2015.7216903","url":null,"abstract":"In this paper, we analyze the relationships between social popularity (i.e., the numbers of views, comments, and favorites) and text tags in image/video sharing services. We also show the tags which affect social popularity in each service and discuss the characteristics of popular contents in each service by analyzing these results.","PeriodicalId":340402,"journal":{"name":"2015 IEEE International Conference on Consumer Electronics - Taiwan","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129455386","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 : 2015-06-06DOI: 10.1109/ICCE-TW.2015.7216966
Xue-Jiao Zhang, Keji Cui, Z. Zou, Lirong Zheng
In this paper, we present a portable SOS device with wireless communication. This device is based on all-digital-phase-locked-loop (ADPLL). A wake-up mode is implemented for low power consumption. With extra biological sensors attached to the users, the device is awakened by abnormal signals and actively sends a SOS signal for help. Moreover, it can use those sensors to collect information from users. This information can be modulated to RF frequency and sent out along with the SOS signal. The SOS device also can be used in passive mode with a SOS button in some emergency situations.
{"title":"A wireless portable SOS device based on all-digital-phase-locked-loop","authors":"Xue-Jiao Zhang, Keji Cui, Z. Zou, Lirong Zheng","doi":"10.1109/ICCE-TW.2015.7216966","DOIUrl":"https://doi.org/10.1109/ICCE-TW.2015.7216966","url":null,"abstract":"In this paper, we present a portable SOS device with wireless communication. This device is based on all-digital-phase-locked-loop (ADPLL). A wake-up mode is implemented for low power consumption. With extra biological sensors attached to the users, the device is awakened by abnormal signals and actively sends a SOS signal for help. Moreover, it can use those sensors to collect information from users. This information can be modulated to RF frequency and sent out along with the SOS signal. The SOS device also can be used in passive mode with a SOS button in some emergency situations.","PeriodicalId":340402,"journal":{"name":"2015 IEEE International Conference on Consumer Electronics - Taiwan","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122126093","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 : 2015-06-06DOI: 10.1109/ICCE-TW.2015.7216923
Yen-Teh Liu, Yu Tsao, Ronald Y. Chang
In this paper, we study the problem of Mandarin consonant/vowel separation which is an integral part of many Mandarin speech applications. We propose a deep neural network (DNN) based approach and compare its performance with the support vector machine (SVM) method. Our results demonstrate an improved separation performance yielded by the proposed method, especially on consonant identification.
{"title":"A deep neural network based approach to mandarin consonant/vowel separation","authors":"Yen-Teh Liu, Yu Tsao, Ronald Y. Chang","doi":"10.1109/ICCE-TW.2015.7216923","DOIUrl":"https://doi.org/10.1109/ICCE-TW.2015.7216923","url":null,"abstract":"In this paper, we study the problem of Mandarin consonant/vowel separation which is an integral part of many Mandarin speech applications. We propose a deep neural network (DNN) based approach and compare its performance with the support vector machine (SVM) method. Our results demonstrate an improved separation performance yielded by the proposed method, especially on consonant identification.","PeriodicalId":340402,"journal":{"name":"2015 IEEE International Conference on Consumer Electronics - Taiwan","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127057726","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 : 2015-06-06DOI: 10.1109/ICCE-TW.2015.7217039
Do-Hyung Kim, Seok-hwan Jo, K. Kwon, Yeonbok Lee, Seung-Won Lee, Young-Hwan Park, Sukjin Kim, Jaehyun Kim, Shihwa Lee
We introduce an ultra-low-power digital signal processor (DSP) solution for wearable applications with high performance. It employs three-issue VLIW architecture with the major low-power techniques and implemented with 95K gates in Samsung 28LPP process and runs up to 200MHz. The experimental results demonstrate that a voice trigger application can operate at 6.1MHz under 0.15mW power consumption.
{"title":"Ultra-low-power voice trigger for wearable devices","authors":"Do-Hyung Kim, Seok-hwan Jo, K. Kwon, Yeonbok Lee, Seung-Won Lee, Young-Hwan Park, Sukjin Kim, Jaehyun Kim, Shihwa Lee","doi":"10.1109/ICCE-TW.2015.7217039","DOIUrl":"https://doi.org/10.1109/ICCE-TW.2015.7217039","url":null,"abstract":"We introduce an ultra-low-power digital signal processor (DSP) solution for wearable applications with high performance. It employs three-issue VLIW architecture with the major low-power techniques and implemented with 95K gates in Samsung 28LPP process and runs up to 200MHz. The experimental results demonstrate that a voice trigger application can operate at 6.1MHz under 0.15mW power consumption.","PeriodicalId":340402,"journal":{"name":"2015 IEEE International Conference on Consumer Electronics - Taiwan","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127544497","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 : 2015-06-06DOI: 10.1109/ICCE-TW.2015.7216854
Lei Shu, Junlin Zeng, Kailiang Li, Zhiqiang Huo, Xiaoling Wu, Xianjun Wu, Huilin Sun
Providing complete monitoring on the concentration of various toxic gases in large-scale petrochemical plants is critical, since it serious affects the safely producing activities and first line workers' lives. Safe production environment can enhance the productivity and keep high profits of enterprises. In this paper, we present a newly developed mobile car with WIFI wireless communication to smartly monitor and track the concentration of various toxic gases.
{"title":"WIFI-based smart car for toxic gas monitoring in large-scale petrochemical plants","authors":"Lei Shu, Junlin Zeng, Kailiang Li, Zhiqiang Huo, Xiaoling Wu, Xianjun Wu, Huilin Sun","doi":"10.1109/ICCE-TW.2015.7216854","DOIUrl":"https://doi.org/10.1109/ICCE-TW.2015.7216854","url":null,"abstract":"Providing complete monitoring on the concentration of various toxic gases in large-scale petrochemical plants is critical, since it serious affects the safely producing activities and first line workers' lives. Safe production environment can enhance the productivity and keep high profits of enterprises. In this paper, we present a newly developed mobile car with WIFI wireless communication to smartly monitor and track the concentration of various toxic gases.","PeriodicalId":340402,"journal":{"name":"2015 IEEE International Conference on Consumer Electronics - Taiwan","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114196146","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 : 2015-06-06DOI: 10.1109/ICCE-TW.2015.7216949
Jing-Xiu Zeng, Chih-Yang Lin, Wei-Yang Lin
Currently, most of the human detection methods are based on low-level features. In this paper, we proposed a middle-level feature generation method based on non-negative matrix factorization (NMF) for human detection. We also proposed an improvement scheme to guarantee that a better middle-level feature can be achieved. The proposed scheme can be applied to a complex background and the experimental results are better than those when only the low-level feature is involved.
{"title":"Human detection using non-negative matrix factorization","authors":"Jing-Xiu Zeng, Chih-Yang Lin, Wei-Yang Lin","doi":"10.1109/ICCE-TW.2015.7216949","DOIUrl":"https://doi.org/10.1109/ICCE-TW.2015.7216949","url":null,"abstract":"Currently, most of the human detection methods are based on low-level features. In this paper, we proposed a middle-level feature generation method based on non-negative matrix factorization (NMF) for human detection. We also proposed an improvement scheme to guarantee that a better middle-level feature can be achieved. The proposed scheme can be applied to a complex background and the experimental results are better than those when only the low-level feature is involved.","PeriodicalId":340402,"journal":{"name":"2015 IEEE International Conference on Consumer Electronics - Taiwan","volume":"203 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122705251","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 : 2015-06-06DOI: 10.1109/ICCE-TW.2015.7216929
Shih-Shinh Huang, Chun-Yuan Chen
Pedestrian detection and counting is an important topic in developing an intelligent surveillance system. In this work, we propose a vision-based system for detecting pedestrians in an image. Be robust to crowded scenes and adapt to incomplete foreground from background subtraction algorithm, expectation maximization (EM) algorithm is applied to impose the constraint of body part for achieving successful detection. A well-known dataset called CAVIAR is used to validate the effectiveness of the proposed method.
{"title":"Vision-based crowded pedestrian detection","authors":"Shih-Shinh Huang, Chun-Yuan Chen","doi":"10.1109/ICCE-TW.2015.7216929","DOIUrl":"https://doi.org/10.1109/ICCE-TW.2015.7216929","url":null,"abstract":"Pedestrian detection and counting is an important topic in developing an intelligent surveillance system. In this work, we propose a vision-based system for detecting pedestrians in an image. Be robust to crowded scenes and adapt to incomplete foreground from background subtraction algorithm, expectation maximization (EM) algorithm is applied to impose the constraint of body part for achieving successful detection. A well-known dataset called CAVIAR is used to validate the effectiveness of the proposed method.","PeriodicalId":340402,"journal":{"name":"2015 IEEE International Conference on Consumer Electronics - Taiwan","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127608143","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 : 2015-06-06DOI: 10.1109/ICCE-TW.2015.7216839
N. Xu, Yibin Tang, J. Bao, Xiao Yao, A. Jiang, Xiaofeng Liu
In this paper, a computationally efficient voice conversion system has been designed in order to improve the performance in resource-limited scenarios. First, mixtures of Gaussians (MoGs) at fixed locations of Mel frequencies have been used to represent the spectrum of STRAIGHT compactly. Second, the key conditional distributions for prediction are approximated by building histograms of aligned features empirically. Experiments have confirmed that our proposed method can obtain fairly good results compared to the traditional method without huge computational costs.
{"title":"Voice conversion based on empirical conditional distribution in resource-limited scenarios","authors":"N. Xu, Yibin Tang, J. Bao, Xiao Yao, A. Jiang, Xiaofeng Liu","doi":"10.1109/ICCE-TW.2015.7216839","DOIUrl":"https://doi.org/10.1109/ICCE-TW.2015.7216839","url":null,"abstract":"In this paper, a computationally efficient voice conversion system has been designed in order to improve the performance in resource-limited scenarios. First, mixtures of Gaussians (MoGs) at fixed locations of Mel frequencies have been used to represent the spectrum of STRAIGHT compactly. Second, the key conditional distributions for prediction are approximated by building histograms of aligned features empirically. Experiments have confirmed that our proposed method can obtain fairly good results compared to the traditional method without huge computational costs.","PeriodicalId":340402,"journal":{"name":"2015 IEEE International Conference on Consumer Electronics - Taiwan","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127812025","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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