2018 Eleventh International Conference on Mobile Computing and Ubiquitous Network (ICMU)最新文献_第3页

Physiological Stress Level Estimation Based on Smartphone Logs 基于智能手机日志的生理应激水平估计

2018 Eleventh International Conference on Mobile Computing and Ubiquitous Network (ICMU) Pub Date : 2018-10-01 DOI: 10.23919/ICMU.2018.8653590

Naoki Yamamoto, Keiichi Ochiai, Akiya Inagaki, Yusuke Fukazawa, Masatoshi Kimoto, Kazuki Kiriu, Kouhei Kaminishi, J. Ota, Tsukasa Okimura, Yuri Terasawa, Takaki Maeda

{"title":"Physiological Stress Level Estimation Based on Smartphone Logs","authors":"Naoki Yamamoto, Keiichi Ochiai, Akiya Inagaki, Yusuke Fukazawa, Masatoshi Kimoto, Kazuki Kiriu, Kouhei Kaminishi, J. Ota, Tsukasa Okimura, Yuri Terasawa, Takaki Maeda","doi":"10.23919/ICMU.2018.8653590","DOIUrl":"https://doi.org/10.23919/ICMU.2018.8653590","url":null,"abstract":"Recently, inferring the state of people’s mental health via passive mobile sensing has attracted significant attention. Previous studies have used the self-assessed stress levels as the ground truth; however, these are subjective measures. In this study, we use a physiologically-assessed stress metric to minimize the effect of participant subjectivity and further estimate it using behavioral features based on the smartphone usage logs. We initially requested the study participants (39 participants) to attach heart rate sensors for 8 hours per day and simultaneously collected continuous heart rate data and smartphone logs for 42 days. Further, we divided the participants into four types via clustering using the behavioral features derived from their smartphone sensor logs and trained each model via supervised learning using the heart rate data as the ground truth. Our results exhibit that the proposed method is more accurate (71%) as compared to the baseline method (54%). This demonstrates that physiologically-assessed stress levels can be estimated based on the implicit features that are gathered from the smartphone logs.","PeriodicalId":398108,"journal":{"name":"2018 Eleventh International Conference on Mobile Computing and Ubiquitous Network (ICMU)","volume":"99 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124103463","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}

引用次数: 14

Evaluation of MultiZigLoc: Indoor ZigBee Localization System Using Inter-Channel Characteristics MultiZigLoc:基于信道间特性的室内ZigBee定位系统评价

2018 Eleventh International Conference on Mobile Computing and Ubiquitous Network (ICMU) Pub Date : 2018-10-01 DOI: 10.23919/ICMU.2018.8653263

Ryota Kimoto, Takahiro Yamamoto, S. Ishida, S. Tagashira, Akira Fukuda

{"title":"Evaluation of MultiZigLoc: Indoor ZigBee Localization System Using Inter-Channel Characteristics","authors":"Ryota Kimoto, Takahiro Yamamoto, S. Ishida, S. Tagashira, Akira Fukuda","doi":"10.23919/ICMU.2018.8653263","DOIUrl":"https://doi.org/10.23919/ICMU.2018.8653263","url":null,"abstract":"Sensor localization is one of the big problems when building large scale indoor sensor networks. We are developing ZigLoc, a sensor localization system using Wi-Fi (IEEE802.11) APs (access points) as references [1], [2]. ZigLoc measures RSS (received signal strength) of Wi-Fi AP signals to localize ZigBee (IEEE802.15.4) sensor nodes. However, ZigLoc exhibits low accuracy because of inaccurate RSS measured on a single narrow-band ZigBee channel. In this paper, we present a highly accurate sensor localization system MultiZigLoc, which is an extended system of ZigLoc. Our key idea is to employ RSS measured in multiple ZigBee channels in fingerprinting localization. The RSS in multiple channels is dependent on the measured location because ZigBee uses narrow-band channels. Narrow-band ZigBee communication is highly affected by frequency selective fading, whose influence is dependent on channels and locations of both Wi-Fi APs and a sensor. We utilize fingerprints that separately handles RSS in multiple ZigBee channels to employ channel specific features. We conducted initial evaluations using RSS measured in a practical environment. The evaluations reveal that MultiZigLoc improved the localization accuracy by more than 10 points.","PeriodicalId":398108,"journal":{"name":"2018 Eleventh International Conference on Mobile Computing and Ubiquitous Network (ICMU)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125224461","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}

引用次数: 4

An Efficient Data Processing Scheme for Wireless Sensor Network Monitoring Using a Machine Learning Model 基于机器学习模型的无线传感器网络监测高效数据处理方案

2018 Eleventh International Conference on Mobile Computing and Ubiquitous Network (ICMU) Pub Date : 2018-10-01 DOI: 10.23919/ICMU.2018.8653586

Zhishu Shen, A. Tagami, T. Higashino

{"title":"An Efficient Data Processing Scheme for Wireless Sensor Network Monitoring Using a Machine Learning Model","authors":"Zhishu Shen, A. Tagami, T. Higashino","doi":"10.23919/ICMU.2018.8653586","DOIUrl":"https://doi.org/10.23919/ICMU.2018.8653586","url":null,"abstract":"Wireless sensor networks (WSNs) are playing an increasingly important role in monitoring massive sensors to precisely detect anomalous phenomena, including anomalous events and sensor data faults. Prior studies preferred to dig the event anomaly (e.g., hotspots in a room), while sensor data faults were simply regarded as noise. Considering that different anomalies arise for different reasons, some substantial hidden problems such as internal sensor failures may be ignored. In this study, we propose an efficient data processing scheme using machine learning model with the objective of achieving satisfactory anomaly detection performance during WSN monitoring. Our proposal analyzes the difficulty of detecting different types of fault data and the influence of each type on event detection results. The machine learning model is adopted to analyze the sensor data correlation, to achieve satisfactory performance for both event detection and fault detection by analyzing the correlated sensor data. At each monitoring time during the data monitoring process, the trivial sensor data faults that might affect the event detection results are filtered out before executing event detection. Meanwhile, at much longer monitoring time intervals, random fault detection is performed to find potentially hidden failures of sensors. Numerical experiments conducted in a real WSN environment show that neural network model outperforms other machine learning models in anomaly detection, and the results by adopting neural network model verify the feasibility of our proposed scheme which attains acceptable performance in detecting both types of anomalies.","PeriodicalId":398108,"journal":{"name":"2018 Eleventh International Conference on Mobile Computing and Ubiquitous Network (ICMU)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125545626","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}

引用次数: 0

VANET-based Dynamic Route Guidance System Considering Communication Performance 基于vanet的考虑通信性能的动态航路引导系统

2018 Eleventh International Conference on Mobile Computing and Ubiquitous Network (ICMU) Pub Date : 2018-10-01 DOI: 10.23919/ICMU.2018.8653609

Yuta Sakoguchi, Toshiya Miyazaki, H. Shigeno

引用次数: 1

Applying NOMA to Undersampled Optical Camera Communication for Vehicular Communication 在欠采样光学相机通信中的应用

2018 Eleventh International Conference on Mobile Computing and Ubiquitous Network (ICMU) Pub Date : 2018-10-01 DOI: 10.23919/ICMU.2018.8653621

C. Rapson, Boon-Chong Seet, P. Chong, R. Klette

{"title":"Applying NOMA to Undersampled Optical Camera Communication for Vehicular Communication","authors":"C. Rapson, Boon-Chong Seet, P. Chong, R. Klette","doi":"10.23919/ICMU.2018.8653621","DOIUrl":"https://doi.org/10.23919/ICMU.2018.8653621","url":null,"abstract":"Visible Light Communications (VLC) is being developed as an alternative to radio frequency (RF) communication for vehicular applications. It has the advantages of high signal-to-noise ratio (SNR), limited interference due to line-of-sight transmission and dual use of existing hardware (LED lights and cameras) on most modern vehicles. Camera based receivers typically sample light signals at a much slower rate than the frequency at which they are modulated by LED-based transmitters. To address the aliasing due to sampling at sub-Nyquist rate, a range of undersampled encoding methods have been proposed. A common disadvantage of these proposals has been a data rate on the order of ten bits per second, which is too low for most applications. This paper investigates the use of Non-Orthogonal Multiple Access(NOMA) to leverage the high SNR and increase the data rate for undersampled Optical Camera Communication (OCC). A significant increase in data rate can be achieved at the cost of some tradeoff in SNR. Further increase in data rate is possible when used in conjunction with other methods such as Wavelength Division Multiplexing, polarisation and MIMO arrays.","PeriodicalId":398108,"journal":{"name":"2018 Eleventh International Conference on Mobile Computing and Ubiquitous Network (ICMU)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122327839","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}

引用次数: 4

Dynamic Parameter Control Method Mitigating Sticky Client Problem in High-Density Wi-Fi 缓解高密度Wi-Fi客户端粘滞问题的动态参数控制方法

2018 Eleventh International Conference on Mobile Computing and Ubiquitous Network (ICMU) Pub Date : 2018-10-01 DOI: 10.23919/ICMU.2018.8653610

Yuki Katsumata, Daisuke Nojima, A. Yamada

{"title":"Dynamic Parameter Control Method Mitigating Sticky Client Problem in High-Density Wi-Fi","authors":"Yuki Katsumata, Daisuke Nojima, A. Yamada","doi":"10.23919/ICMU.2018.8653610","DOIUrl":"https://doi.org/10.23919/ICMU.2018.8653610","url":null,"abstract":"In order to provide high-bandwidth services to visitors such as sports fans in a stadium, we propose a High-Density Wi-Fi system design that enhances network performance through dynamic parameter control and that automates system operations. In High-Density Wi-Fi, high-density and high-performance areas are formed by miniaturizing the cell size and increasing the number of access points (APs). In order to increase the performance, highly skilled engineers analyze and control a massive number of deployed APs via a wireless local area network (WLAN) controller. The purpose of this study is to enhance the Quality of Experience of visitors. Toward this end, we propose a system design that automatically optimizes the network using the WLAN controller in High-Density Wi-Fi to increase the Quality of Service. Incorporated in the system is a proposed method that analyzes and controls APs and stations (STAs) dynamically to enhance network performance. We focus on addressing the problem of clients that do not release a poor connection, i.e., the Sticky Client Problem, which results in degraded performance. The proposed method is unique in that it mitigates this problem using dynamic parameter control on each STA based on massive amounts of information stored in the database. Simulation results show that the proposed method, which instructs 4.3x STAs to handover to another available AP in 100 min, improves the system throughput by 12 %.","PeriodicalId":398108,"journal":{"name":"2018 Eleventh International Conference on Mobile Computing and Ubiquitous Network (ICMU)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131347616","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}

引用次数: 0

ICMU 2018 Program

2018 Eleventh International Conference on Mobile Computing and Ubiquitous Network (ICMU) Pub Date : 2018-10-01 DOI: 10.23919/icmu.2018.8653622

引用次数: 0

Dementia Diagnosis System Using Social Media Agency Robot 基于社交媒体代理机器人的痴呆诊断系统

2018 Eleventh International Conference on Mobile Computing and Ubiquitous Network (ICMU) Pub Date : 2018-10-01 DOI: 10.23919/ICMU.2018.8653594

Toru Kobayashi, Taishi Miyazaki, Kenichi Arai

引用次数: 3

Method to Improve Accuracy of Indoor PDR Trajectories Using a Large Amount of Trajectories 利用大量轨迹提高室内PDR轨迹精度的方法

2018 Eleventh International Conference on Mobile Computing and Ubiquitous Network (ICMU) Pub Date : 2018-10-01 DOI: 10.23919/ICMU.2018.8653262

Kosuke Yotsuya, Nobuyuki Ito, K. Naito, N. Chujo, T. Mizuno, K. Kaji

引用次数: 0

MutualMonitor: A Tool for Elderly People to Anonymously Monitor Each Other 互监控:老年人匿名互相监控的工具

2018 Eleventh International Conference on Mobile Computing and Ubiquitous Network (ICMU) Pub Date : 2018-10-01 DOI: 10.23919/ICMU.2018.8653616

Research Dawadi, Teruhiro Mizumoto, K. Yasumoto

{"title":"MutualMonitor: A Tool for Elderly People to Anonymously Monitor Each Other","authors":"Research Dawadi, Teruhiro Mizumoto, K. Yasumoto","doi":"10.23919/ICMU.2018.8653616","DOIUrl":"https://doi.org/10.23919/ICMU.2018.8653616","url":null,"abstract":"There has been a steady increase in the number of elderly people living alone. The isolation occurs due to children moving away from their parents house and also because of the loss of spouse or relatives. Therefore, to ensure security and comfort of the elderly, their children employ caretakers to assist and monitor them in their daily life. However, caretakers are fewer in number to the elderly people, and expensive as well. Similarly, children are too busy with their own lives to focus in regular monitoring of their parents. To tackle this situation, we present a system called MutualMonitor, which enables elderly people to monitor each other by using a mobile application. To maintain security and privacy of individuals and prevent the disclosure of any personal details, the monitoring is carried out anonymously. We collect information from 4 areas of the house: bedroom, living room, kitchen, and bathroom, about daily activities such as cooking, sleeping, taking medicine, etc. through the use of different kinds of sensors and electricity consumption units available in the home of the elderly. A record of daily activities and their duration is generated. Similarly, notifications are sent at regular intervals to the monitoring elderly to encourage them to view the current state of the elderly. To test the effectiveness of notification in mutual monitoring, in this study we test a service application that sends regular notifications to the user. We determined the response rate and delay, and how often the user missed or ignored the notifications. We collected a total of 312 notifications from 8 users. We found that the participants dealt with an average of 6.4 notifications per day from our application, and responded to 87% of them.","PeriodicalId":398108,"journal":{"name":"2018 Eleventh International Conference on Mobile Computing and Ubiquitous Network (ICMU)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125576111","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}

引用次数: 1