Adjunct Proceedings of the 13th International Conference on Mobile and Ubiquitous Systems: Computing Networking and Services最新文献

{"title":"A Real-Time Detection and Localization System of Unexpected Events Using Crowd-Sourcing","authors":"Taishi Yamamoto, Kenta Oku, K. Kawagoe","doi":"10.1145/3004010.3004050","DOIUrl":"https://doi.org/10.1145/3004010.3004050","url":null,"abstract":"Through crowd sourcing, we have been developing a realtime detection and localization system of unexpected events such as traffic accidents. For such a study, we previously proposed a crowd-sourced system called Smart and Quick Unexpected-Event Detect (SQUED) system that used smartphone sensor data for the detection and localization of unexpected events. When SQUED system users encounter an event, they point their smartphones toward the direction of the event. SQUED system can detect the location and time of the event using smartphone sensor data. In this study, we further developed our SQUED system to realize real-time detection and localization function. In addition, we developed the pseudo-user generator to evaluate our systems. Our pseudo-user generator can simulate the environment in which the number of users has increased. As a result, it was confirmed that our real-time system in combination with the pseudo-user generator could perform event detection 100 times faster than our previous system.","PeriodicalId":406787,"journal":{"name":"Adjunct Proceedings of the 13th International Conference on Mobile and Ubiquitous Systems: Computing Networking and Services","volume":"103 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115143389","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":"IRI Estimation by the Frequency Domain Analysis of Vehicle Dynamic Responses and Its Large-scale Application","authors":"Boyu Zhao, T. Nagayama, Noritoshi Makihata, Masashi Toyoda, Muneaki Takahashi, Masataka Ieiri","doi":"10.1145/3004010.3004013","DOIUrl":"https://doi.org/10.1145/3004010.3004013","url":null,"abstract":"In order to achieve large scale road evaluation with high efficiency and accuracy, smartphone based Dynamic Response Intelligent Monitoring System (iDRIMS) was developed [4]. iDRIMS evaluates road condition in terms of International Roughness Index (IRI) based on dynamic responses of ordinary vehicles measured with an iOS application (iDRIMS measurement), which obtains three axis acceleration, angular velocity and GPS with accurate sampling timings. However, the robustness and accuracy was limited. In this paper, iDRIMS is improved mainly by employing the frequency domain analysis. The improved algorithm for IRI estimation consists of two steps. At first, a Half-Car (HC) model, which can reproduce both vehicle bouncing and pitching motions and represent sensor installation location in the longitudinal direction, is selected as the vehicle numerical model and identified. The vehicle parameters are identified through a drive tests over a portable hump with a known size. As opposed to previous approach of parameter identification in the time domain using Kalman filter, the parameters are optimized to minimize the difference between simulation and measured hump responses in the frequency domain using Genetic algorithm (GA). Then, IRI is estimated by measuring vertical acceleration responses of ordinary vehicles. Measured acceleration is converted to the acceleration RMS of the sprung mass of standard quarter car by multiplying a transfer function. The transfer function, estimated through the simulation of the identified HC model as opposed to QC model in previous approaches, reflects the vehicle pitching motions and sensor installation location. The RMS is further converted to IRI based on correlation between these values. Numerical simulation is conducted to investigate the performance in terms of various drive speeds and sensor locations. Experiment is carried out at a 13km road by comparing three types of vehicles and profiler. Furthermore, the improved method is applied to about 70 commercial vehicles, which drive over more than 180,000 km per year. Data collection and analysis platform is built, which successfully collected and analyzed large-scale data with high efficiency. Results from both numerical simulation and real case application indicate that the improved method can accurately estimate IRI with high robustness and efficiency.","PeriodicalId":406787,"journal":{"name":"Adjunct Proceedings of the 13th International Conference on Mobile and Ubiquitous Systems: Computing Networking and Services","volume":"46 9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116630372","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":"Local Attention Analysis and Prediction of Online News Articles in Twitter","authors":"Saki Nagaki, Yuto Yamaguchi, T. Amagasa, H. Kitagawa","doi":"10.1145/3004010.3004042","DOIUrl":"https://doi.org/10.1145/3004010.3004042","url":null,"abstract":"What is the difference between the local news and the general news? Due to a huge number of online news articles published on the Web, it has become quite important to recommend appropriate articles to users. Locality of an article is one of the important features to judge whether it gets interests from users in a specific area. In this work, we give a precise definition of local news article using the geographical distributions of the Twitter users. Using this definition, we analyze the characteristics of Japanese online news articles shared on Twitter with respect to their locality, and also propose a method for predicting the locality. Our method contributes to improving the performance of news recommendation because it becomes easy to identify the target area from local news we predict. In our experiments on Twitter and Yahoo! Japan News dataset, the results reveal that the prediction accuracy is 73%, which is 9 points higher than the naive method based on the news titles.","PeriodicalId":406787,"journal":{"name":"Adjunct Proceedings of the 13th International Conference on Mobile and Ubiquitous Systems: Computing Networking and Services","volume":"14 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116694760","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":"Activity Recognition and Future Prediction in Hospitals","authors":"Sozo Inoue","doi":"10.1145/3004010.3004012","DOIUrl":"https://doi.org/10.1145/3004010.3004012","url":null,"abstract":"In this paper, we firstly introduce our work [9] where we proposed for recognizing whole day activities using prior knowledge, and applied the method for real nursing sensor dataset we have collected. Then, we introduce the method for predicting the near future of nurses by integrating nurse activity data, location data, and medical records, based on our work [10]. For both works, we independently collected real and open nursing datasets with 2 weeks of accelerometers and training labels from 22 nurses for the former work, and nurse activity, location, medical payment, and nursing need data from 35 nurses and 96 patients for 40 days for the latter work.","PeriodicalId":406787,"journal":{"name":"Adjunct Proceedings of the 13th International Conference on Mobile and Ubiquitous Systems: Computing Networking and Services","volume":"258 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132813405","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":"Low-cost and Device-free Activity Recognition System with Energy Harvesting PIR and Door Sensors","authors":"Yukitoshi Kashimoto, K. Hata, H. Suwa, Manato Fujimoto, Yutaka Arakawa, Takeya Shigezumi, Kunihiro Komiya, Kenta Konishi, K. Yasumoto","doi":"10.1145/3004010.3006378","DOIUrl":"https://doi.org/10.1145/3004010.3006378","url":null,"abstract":"Progress of IoT and ubiquitous computing technologies has strong anticipation to realize smart services in households such as efficient energy-saving appliance control and elderly monitoring. In order to put those applications into practice, high-accuracy and low-cost in-home living activity recognition is essential. Many researches have tackled living activity recognition so far, but the following problems remain: (i)privacy exposure due to utilization of cameras and microphones; (ii) high deployment and maintenance costs due to many sensors used; (iii) burden to force the user to carry the device and (iv) wire installation to supply power and communication between sensor node and server; (v) few recognizable activities; (vi) low recognition accuracy. In this paper, we propose an in-home living activity recognition method to solve all the problems. To solve the problems (i)--(iv), our method utilizes only energy harvesting PIR and door sensors with a home server for data collection and processing. The energy harvesting sensor has a solar cell to drive the sensor and wireless communication modules. To solve the problems (v) and (vi), we have tackled the following challenges: (a) determining appropriate features for training samples; and (b) determining the best machine learning algorithm to achieve high recognition accuracy; (c) complementing the dead zone of PIR sensor semipermanently. We have conducted experiments with the sensor by five subjects living in a home for 2-3 days each. As a result, the proposed method has achieved F-measure: 62.8% on average.","PeriodicalId":406787,"journal":{"name":"Adjunct Proceedings of the 13th International Conference on Mobile and Ubiquitous Systems: Computing Networking and Services","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134428816","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":"Baseline Intrusion Detection Framework for 6LoWPAN Devices","authors":"Himanshu B. Patel, D. Jinwala, D. Patel","doi":"10.1145/3004010.3004018","DOIUrl":"https://doi.org/10.1145/3004010.3004018","url":null,"abstract":"Internet Engineering Task Force (IETF) is working on 6LoW-PAN standard which allows smart devices to be connected to Internet using large address space of IPV6. 6LoWPAN acts as a bridge between resource constrained devices and the Internet. The entire IoT space is vulnerable to local threats as well as the threats from the Internet. Due to the random deployment of the network nodes and the absence of tamper resistant shield, the resource constrained IoT elements face potential insider attacks even in presence of front line defense mechanism that involved cryptographic protocols. To detect such insidious nodes, an Intrusion Detection System (IDS) is required as a second line of defense. In this paper, we attempt to analyze such potential insider attacks, while reviewing the IDS based countermeasures. We attempt to propose a baseline for designing IDS for 6LoWPAN based IoT system.","PeriodicalId":406787,"journal":{"name":"Adjunct Proceedings of the 13th International Conference on Mobile and Ubiquitous Systems: Computing Networking and Services","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121176037","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 Method to Detect Accurately Falling Asleep and Awakening Time","authors":"Takayuki Okamura, N. Isoyama, G. Lopez","doi":"10.1145/3004010.3004014","DOIUrl":"https://doi.org/10.1145/3004010.3004014","url":null,"abstract":"So far, approximately 30 kinds of sleep disorders have been raised, and irregular sleep rhythm caused by disturbance of sleep induction and nocturnal awakening is one important factor in lifestyle-related diseases. Therefore, evaluating quality of sleep on a daily basis has a great significance for healthcare. On the other hand, in late years smart phone applications came to be able to record life activity log, mostly physical activity monitoring, and sleep length. However, the method used are mainly based on motion analysis, such sleep length cannot be measured accurately enough. This paper presents a newly proposed method to detect accurately falling asleep and awakening times, towards its application for a new smart clock alarm. Proposed method relies on using a wearable heart rate sensor to extract activity indices of autonomic nervous system calculated from heart rate variability in addition to body motion, and on algorithms that dynamically mine into the sequences of heterogeneous data to identify accurately sleep start and end times.","PeriodicalId":406787,"journal":{"name":"Adjunct Proceedings of the 13th International Conference on Mobile and Ubiquitous Systems: Computing Networking and Services","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126081783","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":"Average consensus in asymmetric broadcasting wireless sensor networks through gossiping","authors":"F. Peper, K. Leibnitz, T. Shimokawa, Marie-Ange Remiche","doi":"10.1145/3004010.3004024","DOIUrl":"https://doi.org/10.1145/3004010.3004024","url":null,"abstract":"Average consensus algorithms have attracted increasing interest in the last decade because of their potential for use in high-density wireless sensor networks. This paper analyzes an algorithm that is based on a model of asymmetric broadcasting on a random geometric graph, in which nodes broadcast and listen only intermittently. We show that each node can easily estimate its update weight from the degree of silence in its neighborhood, and, after the weights have been assigned in this way, that the consensus algorithm converges to the true average. Both a synchronous and an asynchronous update model are analyzed.","PeriodicalId":406787,"journal":{"name":"Adjunct Proceedings of the 13th International Conference on Mobile and Ubiquitous Systems: Computing Networking and Services","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122768105","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":"Performance Improvement in WLAN and LTE Based on Backlog Control Middleware","authors":"Ayumi Shimada, M. Oguchi, Saneyasu Yamaguchi, H. Kaartinen, Marjo Heikkilä, Joni Jämsä","doi":"10.1145/3004010.3004029","DOIUrl":"https://doi.org/10.1145/3004010.3004029","url":null,"abstract":"Smartphones have highly functional operating systems similar to PCs. Their communication throughput depends on behavior of Transmission Control Protocol (TCP). Modern loss-based TCP algorithms take aggressive congestion window (CWND) control strategies in order to gain better throughput, but such strategies may cause a large number of packets to be backlogged and eventually dropped at the entry point to the wireless access network. This problem applies not only to the downstream TCP sessions but also to the upstream TCP sessions when the terminal is connected via a wireless network, such as Wireless Local Area Network (WLAN) and Long Term Evaluation (LTE) network, which disregards the size of packets in its scheduling. This paper focuses on the ACK packet backlog problem with the upstream TCP sessions, and proposes a CUBIC based CWND control mechanism as part of the middleware for the Android terminals. It utilizes the Round Trip Time (RTT) as an indication for the TCP ACK backlog condition at the WLAN AP and LTE base station, and controls the upper and lower bounds of its CWND size to suppress excessive transmissions of own TCP DATA packets. Our experimental study with up to seven Android terminals shows that the proposed mechanism can improve both aggregate throughput and fairness of the WLAN. In addition, our evaluation on LTE network demonstrates that the method suitably controls congestion and communication delay also on LTE network.","PeriodicalId":406787,"journal":{"name":"Adjunct Proceedings of the 13th International Conference on Mobile and Ubiquitous Systems: Computing Networking and Services","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132984321","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":"Solving City Problems with Sensorized Everything A Case Study in Fujisawa","authors":"J. Nakazawa","doi":"10.1145/3004010.3004011","DOIUrl":"https://doi.org/10.1145/3004010.3004011","url":null,"abstract":"This paper shows a novel architecture for sensor data transport, and our findings from a number of projects aiming at solving existing city problems. The main part of the architecture is Universal Sensor Network Architecture, which is the combination of wide variety of sensing technologies and the XMPP-based sensor data transport. The novelty is that the city is captured in real-time by using automotive, virtual, and human sensing technologies. The sensor data transport is powerful enough to convey data generated from the different form of sensing in a common way, thus facilitating application development. We have been tightly cooperating with Fujisawa city officers to address real problems existing in the city. This paper shows five problems we observed, and three distinct techniques to solve them.","PeriodicalId":406787,"journal":{"name":"Adjunct Proceedings of the 13th International Conference on Mobile and Ubiquitous Systems: Computing Networking and Services","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132100648","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}