2017 10th International Conference on Ubi-media Computing and Workshops (Ubi-Media)最新文献

{"title":"Human fall detection based on event pattern matching with ultrasonic array sensors","authors":"Yuan-Tsung Chang, T. Shih","doi":"10.1109/UMEDIA.2017.8074149","DOIUrl":"https://doi.org/10.1109/UMEDIA.2017.8074149","url":null,"abstract":"We proposed an algorithm for fall detection based on event pattern matching with ultrasonic array sensors signal. In several references cited later using ultrasonic sensors to detect human fall. But shows miss detection of event pattern matching algorithm. Our contributions are the algorithm and improvement of the human fall detection results. We predict that the major bottleneck would be the implementation of ultrasonic array sensors. The type of falling events was determined through the implemented SVM model. The CEP and Event Pattern Matching are then applied to verify the falling event to ensure no false positive result taken place. The results demonstrate that a better performance can be achieved based on the designed algorithm. The quality of images also plays an important role of accuracy.","PeriodicalId":440018,"journal":{"name":"2017 10th International Conference on Ubi-media Computing and Workshops (Ubi-Media)","volume":"15 2 Pt 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131696677","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":"Reverse time ordered stroke context for air-writing recognition","authors":"Tsung-Hsien Tsai, J. Hsieh, Hung-Chun Chen, Shih-Chin Huang","doi":"10.1109/UMEDIA.2017.8074090","DOIUrl":"https://doi.org/10.1109/UMEDIA.2017.8074090","url":null,"abstract":"A novel real-time recognition system is proposed to recognize air-written characters without using any pen-starting-lift information. This pen-starting sign is commonly adopted in most of air-writing recognition systems for simplifying the complexity of trajectory matching but often results in inconvenience of usage for users. To tackle this problem, a novel reverse time ordered stroke context is proposed to represent an air-written trajectory in a backward way so that redundant starting-lift data can be effectively filtered out. Then the air-writing recognition problem can be formulated as a path finding problem which is easily solved by a stroke weighting scheme. Another two challenging problems, i.e., the multiplicity problem and the confusion problem also often happen in an air-writing recognition system. The first problem means a character is often written differently among different users. The second problem means different characters often own similar writing trajectory, e.g., {‘b’, ‘p’, ‘D’}. The two problems can be well tackled by introducing a new hierarchical classification scheme which constructs a three-layer structure to represent an air-writing character with different sampling rates. The first layer is designed for tackling the confusion problem by a grouping scheme. The second and third layers are used for dealing with the multiplicity problem of writing styles. All the alphabets (including lowercase, capital, and digital letters) are tested in this system and can be recognized in real time. Performance evaluation shows that the proposed solution achieves quite higher recognition accuracy (more than 94.7%) even though no starting gesture is required.","PeriodicalId":440018,"journal":{"name":"2017 10th International Conference on Ubi-media Computing and Workshops (Ubi-Media)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132178760","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":"Geo-Routing with angle-based decision in delay-tolerant networks","authors":"Cheng-Yen Lin, Junho Chung, Chao-Ting Li, Chih-Lin Hu, Y. Lien","doi":"10.1109/UMEDIA.2017.8074152","DOIUrl":"https://doi.org/10.1109/UMEDIA.2017.8074152","url":null,"abstract":"Delay-tolerant networks consist of mobile nodes that communicate in unscheduled opportunity without network infrastructure support. When mobile nodes move in highly dynamic networks, they suffer from many challenging issues such as broken network topology and transient connectivity among nodes. In this paper, we propose a geo-routing scheme with an angle-based decision policy (GRAD) for message delivery in delay-tolerant networks. This scheme can select relay nodes in geographic proximity to perform message delivery towards a destination. After a definite number of relays, the message can be destined to a destination. Simulation results show that GRAD can attain a higher rate of successful message delivery and lower communication cost as compared with a classical Spray and Wait scheme under area-confined random waypoint and SLAW mobility patterns in delay-tolerant networks.","PeriodicalId":440018,"journal":{"name":"2017 10th International Conference on Ubi-media Computing and Workshops (Ubi-Media)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131086966","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":"Home care with IoT support: Architecture design and functionality","authors":"Chih-Lin Hu, Ssuwei Chen, Liangxing Guo, Chalothon Chootong, Lin Hui","doi":"10.1109/UMEDIA.2017.8074155","DOIUrl":"https://doi.org/10.1109/UMEDIA.2017.8074155","url":null,"abstract":"Internet of Things (IoT) technologies address many architectures and applications in the last decades. The “smart home” is one of the most popular topics in the IoT research. We consider that the scale of an IoT-oriented smart home system can go up at the aspects of residential, community and society. Resource allocation and distribution among devices, platforms and services become crucial to system reliability and performance, thus being worth of research efforts in smart home scenarios with IoT support. In this paper, we propose a reference architecture in pursuit of an IoT-based smart home system. Particularly, the home care scenario is deployed to exhibit the scenario on the proposed architecture. Our architecture reference is across front-end to back-end roles in this context, where the home gateway plays the most important role. Accordingly, we design a comprehensive functional home gateway (CFHG) which integrates combined functions of different application strategies on the middleware platform. All data in front-end sensor devices can be aggregated to gateway devices and distributed to cloud storage via web services at the back-end devices, and vice versa, control and management instructions can be issued to any indicated devices to regulate data processing operations. Finally, we make our architecture into effect with practical implementation, and present several usages regarding home care applications.","PeriodicalId":440018,"journal":{"name":"2017 10th International Conference on Ubi-media Computing and Workshops (Ubi-Media)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134431442","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":"Are STR & CAT-Generated texts useful for comprehension of lecturing content in a foreign language?","authors":"R. Shadiev, S. Sharipov, Narzikul Shadiev, M. Fayziev, Shahlo Rahimova, Wanwisa Wannapipat, A. Klimenko, Stanislav Klimenko","doi":"10.1109/UMEDIA.2017.8074121","DOIUrl":"https://doi.org/10.1109/UMEDIA.2017.8074121","url":null,"abstract":"In this study, we applied Speech-to-Text Recognition (STR) and Computer-Aided Translation (CAT) technologies in combination during lectures in English to facilitate Russian speaking students' comprehension of lecture content. The instructor lectured in English, the STR system generated texts from the voice input, and the CAT system then simultaneously translated the STR-texts into Russian. We aimed to test the feasibility of applying STR and CAT technologies in combination to support learning of Russian speaking students during lectures in English. To this end, we designed an experiment. Three groups with twenty students in each were formed and all students attended the same lectures. Students in a control group attended lectures without any support, students in an experimental group 1 attended lectures with STR support (i.e. they were presented with texts in English generated from the instructor's speech), and students in an experimental group 2 attended lectures with STR and CAT support (i.e. they were presented with texts in Russian translated from English). We compared language ability and post-test results of students in three groups and we surveyed perceptions of students in the experimental group 2 about usefulness of translated texts for their learning. Our results showed that applying STR and CAT technologies was a useful approach; translated texts helped improve learning performance of the experimental group 2 students compared to the control condition significantly. More specifically, translated texts were beneficial both for low and high ability students in the experimental group 2, so that their scores of the tests were much better compared to those of students in the control condition. When students got used to translated texts and found their strength and limitations, they better utilized these texts for their learning. This is why learning progress of students was increasing from Lecture 1 to Lecture 2. Our results also showed that low ability students benefit from translated texts the most; their language ability was lower than that of high ability students before the experiment but after it, learning performance had no significant difference. Finally, most of the students in the experimental group 2 perceived translated texts as useful for their learning and they intended to use them in the future for learning.","PeriodicalId":440018,"journal":{"name":"2017 10th International Conference on Ubi-media Computing and Workshops (Ubi-Media)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128267290","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":"An effective object recognition system by a mobile application","authors":"Wen-Yen Tseng, Kai-Hsiang Chen, Jen-Wei Huang","doi":"10.1109/UMEDIA.2017.8074154","DOIUrl":"https://doi.org/10.1109/UMEDIA.2017.8074154","url":null,"abstract":"Unparalleled growth in the sharing of media via networks has prompted a great deal of research into issues pertaining to image retrieval. The training and verification of image retrieval systems requires a large number of labelled images with ground truth; however, most researchers employ synthetic datasets for their experiments. In this study, we developed a system based on a mobile phone App for the collection of information pertaining to the location of objects in images. The proposed system is simple and easy to use. Experiments demonstrate the excellent performance of the proposed system with regard to accuracy and response time. This study demonstrates the feasibility of collecting image information using mobile phones.","PeriodicalId":440018,"journal":{"name":"2017 10th International Conference on Ubi-media Computing and Workshops (Ubi-Media)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126044639","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":"Automatic attendance system for late student using speech recognition corresponding with google forms and sheets","authors":"Vasutan Tunbunheng","doi":"10.1109/UMEDIA.2017.8074119","DOIUrl":"https://doi.org/10.1109/UMEDIA.2017.8074119","url":null,"abstract":"In this research, an automatic attendance system was constructed by using google forms and sheets to register student's attendance time in classroom. Speech recognition technology has been included into the system based on DroidScript for registering students who come to the class late. The system can be adopted to handle the students who absent from the class by reasonable causes as special cases.","PeriodicalId":440018,"journal":{"name":"2017 10th International Conference on Ubi-media Computing and Workshops (Ubi-Media)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134462756","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":"Proposal of scatter typed wireless iot repeaters with anti-shock property for disaster information networks","authors":"Noriki Uchida, Erika Nakachi, Y. Shibata","doi":"10.1109/UMEDIA.2017.8074151","DOIUrl":"https://doi.org/10.1109/UMEDIA.2017.8074151","url":null,"abstract":"The Great East Japan Earthquake in 2011 damaged the wider Japanese areas, there were serious troubles to seek families or a lack of rations because of the breakdown of cellular networks. Thus, the quick reconstruction of the communication networks is considered to be one of the significant issues after disasters. Therefore, this paper introduced the scatter typed wireless IoT repeaters with anti-shock property in order to realize the quick network reconstructions for the Disaster Information Networks. In the proposed methods, the IoT repeaters are considered to be scattered from the helicopters during the rescues or the damage investigations, and the paper proposes the anti-shock property of the IoT repeaters and the considerable ad-hoc network protocol. Then, the prototype system and the experimental results are discussed for the future studies.","PeriodicalId":440018,"journal":{"name":"2017 10th International Conference on Ubi-media Computing and Workshops (Ubi-Media)","volume":"150 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122462283","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 Grid-Based successive point-of-interest recommendation method","authors":"Hung-Yi Gau, Yi-Shu Lu, Jiun-Long Huang","doi":"10.1109/UMEDIA.2017.8074153","DOIUrl":"https://doi.org/10.1109/UMEDIA.2017.8074153","url":null,"abstract":"With the increasing popularity of location-based social networks (LBSNs), users are able to share the point-of-interests (POIs) they visited by check-ins. By analyzing the users' historical check-in records, POI recommendation can help users get better visiting experiences by recommending POIs which users may be interested in. Although recent successive POI recommendation methods consider geographical influence by measuring distances among POIs, most of them ignore the influence of the regions where the POIs are located. Therefore, we propose a grid-based successive POI recommendation method, named UGSE-LR, to take the regional influence into consideration when recommending POIs. UGSE-LR first splits an area into grids for estimating regional influence. Then, UGSE-LR applies Edge-weighted Personalized PageRank (EdgePPR) for modeling the successive transitions among POIs. Finally, UGSE-LR fuses user preference, regional preference and successive transition preference into a unified recommendation framework. Experimental results on two real LBSN datasets show that our method is more accurate than the state-of-the-art successive POI recommendation methods in terms of precision and recall.","PeriodicalId":440018,"journal":{"name":"2017 10th International Conference on Ubi-media Computing and Workshops (Ubi-Media)","volume":"82 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128490059","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":"Mobile advertising system based on user provided information in exchange for free network access","authors":"Xiaolong Liu, S. Yuan, Xuebai Zhang, Pai-Hsuan Wang","doi":"10.1109/UMEDIA.2017.8074113","DOIUrl":"https://doi.org/10.1109/UMEDIA.2017.8074113","url":null,"abstract":"With the rapid development of mobile communication technology, the significant increase in the number of mobile device users have created a very strong demand for effective mobile advertising. The key campaign success of advertising is putting right advertisements to right customers. This paper presents a place of interest based mobile advertising system that allows mobile advertising company obtained valuable information from cellphone users. After analyzing this information, mobile advertising company is able to publishing customized ads to the user's mobile device. In addition, cellphone users can get free mobile network data volume by reporting their places of interest. It has been demonstrated that the proposed system is easy to use and would benefit for not only mobile advertising company, but also cellphone user, and the others participations.","PeriodicalId":440018,"journal":{"name":"2017 10th International Conference on Ubi-media Computing and Workshops (Ubi-Media)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125408635","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}