N. Huy, Gihan Hettiarachchi, Youngki Lee, R. Balan
Citation NGUYEN, Nguyen Huy Hoang; HETTIARACHCHI, Gihan; LEE, Youngki; and BALAN, Rajesh Krishna. Demo: Real-world deployment of seat occupancy detectors. (2016). MobiSys '16 Companion: Proceedings of the 14th Annual International Conference on Mobile Systems, Applications, and Services Companion, Singapore, June 26-30. 103-103. Research Collection School Of Information Systems. Available at: https://ink.library.smu.edu.sg/sis_research/3279
{"title":"Demo: Real-world Deployment of Seat Occupancy Detectors","authors":"N. Huy, Gihan Hettiarachchi, Youngki Lee, R. Balan","doi":"10.1145/2938559.2938588","DOIUrl":"https://doi.org/10.1145/2938559.2938588","url":null,"abstract":"Citation NGUYEN, Nguyen Huy Hoang; HETTIARACHCHI, Gihan; LEE, Youngki; and BALAN, Rajesh Krishna. Demo: Real-world deployment of seat occupancy detectors. (2016). MobiSys '16 Companion: Proceedings of the 14th Annual International Conference on Mobile Systems, Applications, and Services Companion, Singapore, June 26-30. 103-103. Research Collection School Of Information Systems. Available at: https://ink.library.smu.edu.sg/sis_research/3279","PeriodicalId":298684,"journal":{"name":"MobiSys '16 Companion","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133229239","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}
Nikita Jaiman, Thivya Kandappu, Randy Tandriansyah, Archan Misra
We design and develop TA$Ker, a real-world mobile crowd-sourcing platform to empirically study the worker responses to various task recommendation and selection strategies.
{"title":"Demo: TA$Ker: Campus-Scale Mobile Crowd-Tasking Platform","authors":"Nikita Jaiman, Thivya Kandappu, Randy Tandriansyah, Archan Misra","doi":"10.1145/2938559.2938587","DOIUrl":"https://doi.org/10.1145/2938559.2938587","url":null,"abstract":"We design and develop TA$Ker, a real-world mobile crowd-sourcing platform to empirically study the worker responses to various task recommendation and selection strategies.","PeriodicalId":298684,"journal":{"name":"MobiSys '16 Companion","volume":"112 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129282965","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}
The sudden growth in the smart-phone industry in recent years has caught the localization technology quite unprepared, with GPS coming out as a trivial solution. Using GPS, although quite effective, results in high energy consumption. This makes way for the several inertial sensors present in smart-phones like accelerometer, gyroscope, compass, etc. There are number of works like UnLoc[3] which use these inertial sensors for pedestrian localization. Looking into outdoor vehicular localization, Dejavu[1] is one of the good solutions. In our research problems we plan to make use of inertial sensors to develop energy efficient navigation systems and the underlying infrastructure required for the same. Here, we present a novel generalized energy-efficient outdoor navigation scheme - UrbanEye[2]
{"title":"Poster: Energy Efficient Navigation Systems","authors":"Rohit Verma","doi":"10.1145/2938559.2948792","DOIUrl":"https://doi.org/10.1145/2938559.2948792","url":null,"abstract":"The sudden growth in the smart-phone industry in recent years has caught the localization technology quite unprepared, with GPS coming out as a trivial solution. Using GPS, although quite effective, results in high energy consumption. This makes way for the several inertial sensors present in smart-phones like accelerometer, gyroscope, compass, etc. There are number of works like UnLoc[3] which use these inertial sensors for pedestrian localization. Looking into outdoor vehicular localization, Dejavu[1] is one of the good solutions. In our research problems we plan to make use of inertial sensors to develop energy efficient navigation systems and the underlying infrastructure required for the same. Here, we present a novel generalized energy-efficient outdoor navigation scheme - UrbanEye[2]","PeriodicalId":298684,"journal":{"name":"MobiSys '16 Companion","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117043401","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}
Shuvashis Ghosh, R. A. Hassan, Sian Iftekher Galib
Flash Flood is a natural disaster that floods away large area where there are dense presences of rivers. Bangladesh is one such country that faces it. The challenge lies in the sudden increase of water level once the flood water is in. We are proposing a distributed system using water level monitoring sensors named Shonabondhu. The sensing nodes are distributed all across the country and the servers that collect data from sensors are spread around various regions. We have designed implemented and deployed actual sensors to monitor the water level in the river our current system works as a proof of a concept system before the actual deployment of this system in collaboration of Water Development Board of Bangladesh.
{"title":"POSTER: A Low Cost Cloud Based System to Handle Flash Flood","authors":"Shuvashis Ghosh, R. A. Hassan, Sian Iftekher Galib","doi":"10.1145/2938559.2948771","DOIUrl":"https://doi.org/10.1145/2938559.2948771","url":null,"abstract":"Flash Flood is a natural disaster that floods away large area where there are dense presences of rivers. Bangladesh is one such country that faces it. The challenge lies in the sudden increase of water level once the flood water is in. We are proposing a distributed system using water level monitoring sensors named Shonabondhu. The sensing nodes are distributed all across the country and the servers that collect data from sensors are spread around various regions. We have designed implemented and deployed actual sensors to monitor the water level in the river our current system works as a proof of a concept system before the actual deployment of this system in collaboration of Water Development Board of Bangladesh.","PeriodicalId":298684,"journal":{"name":"MobiSys '16 Companion","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124164585","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":"Poster: Reconstruction Accuracy of Data Perturbation in Mobile Environmental Sensing","authors":"Takao Suzuki, Masaki Ito, K. Sezaki","doi":"10.1145/2938559.2948800","DOIUrl":"https://doi.org/10.1145/2938559.2948800","url":null,"abstract":"","PeriodicalId":298684,"journal":{"name":"MobiSys '16 Companion","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124319029","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}
In Bluetooth Low Energy (BLE), only three channel is used for advertisement, so the signal collision is serious when there is a large number of BLE devices in a narrow area. In this kind of environment, how to identify a disappeared is a challenge. In this paper, we analyze the relationship between the number of BLE devices and signal collision rate. Also, we provide a threshold to identify the disappeared devices.
{"title":"Poster: Discovery of Disappeared Node in Large Number of BLE Devices Environment","authors":"Gaoyang Shan, B. Roh","doi":"10.1145/2938559.2948853","DOIUrl":"https://doi.org/10.1145/2938559.2948853","url":null,"abstract":"In Bluetooth Low Energy (BLE), only three channel is used for advertisement, so the signal collision is serious when there is a large number of BLE devices in a narrow area. In this kind of environment, how to identify a disappeared is a challenge. In this paper, we analyze the relationship between the number of BLE devices and signal collision rate. Also, we provide a threshold to identify the disappeared devices.","PeriodicalId":298684,"journal":{"name":"MobiSys '16 Companion","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114829305","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}
Taeyeon Ki, Alexander Simeonov, Karthik Dantu, Steven Y. Ko, Lukasz Ziarek
We propose a novel technique called API virtualization to enable open innovation in Android. API virtualization inserts a shim layer between the Android platform layer and the app layer as shown in Figure 1, which can intercept any and every platform API call made by an app. In addition, API virtualization allows third-party developers to inject custom code, so that they can modify, reimplement, or customize existing Android APIs. This is achieved by (i) injecting a wrapper class for each platform API class that a third-party developer wants to replace, and (ii) rewriting the binary of an app so that the app code uses wrapper classes instead of platform API classes. Our API virtualization is motivated by the lack of openness in mobile systems at the platform level. For example, Android is known to be an open platform since the source code is open; thirdparty developers easily access and modify the source. However, when it comes to deploying their platform-level modifications, there is a stiff barrier. Only Google and other mobile vendors such as Samsung, LG, etc. have the privilege to distribute platform modifications at a large scale. In other words, there are only a select few players who can control the innovation on Android.
{"title":"Demo: API Virtualization for Platform Openness in Android","authors":"Taeyeon Ki, Alexander Simeonov, Karthik Dantu, Steven Y. Ko, Lukasz Ziarek","doi":"10.1145/2938559.2948646","DOIUrl":"https://doi.org/10.1145/2938559.2948646","url":null,"abstract":"We propose a novel technique called API virtualization to enable open innovation in Android. API virtualization inserts a shim layer between the Android platform layer and the app layer as shown in Figure 1, which can intercept any and every platform API call made by an app. In addition, API virtualization allows third-party developers to inject custom code, so that they can modify, reimplement, or customize existing Android APIs. This is achieved by (i) injecting a wrapper class for each platform API class that a third-party developer wants to replace, and (ii) rewriting the binary of an app so that the app code uses wrapper classes instead of platform API classes.\u0000 Our API virtualization is motivated by the lack of openness in mobile systems at the platform level. For example, Android is known to be an open platform since the source code is open; thirdparty developers easily access and modify the source. However, when it comes to deploying their platform-level modifications, there is a stiff barrier. Only Google and other mobile vendors such as Samsung, LG, etc. have the privilege to distribute platform modifications at a large scale. In other words, there are only a select few players who can control the innovation on Android.","PeriodicalId":298684,"journal":{"name":"MobiSys '16 Companion","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115522082","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}
Varieties of wearable devices such as smart watches, Virtual/Augmented Reality devices (AR/VR) are much more affordable with interesting capabilities. In our vision, a person may use more than one devices at a time, and they form an eco-system of wearable devices. Therefore, we aim to build a system where an application expands its input and output among different devices, and adapts its input/output stream for different contexts. For example, a user wears a smart watch, a pair of smart glasses, and a smart phone in his pocket. Normally, the application on the mobile phone uses its touch screen as the input/output modality; but if the user put the mobile phone in his pocket, and wear the smart glasses, the application uses the gestures from smart watches as input, and the display of the smart glasses as output. Another advantage of such a multi-device system we want to support is multi-limb gesture. There is quite equal preference between one-handed and two-handed gestures [2]. Especially, two-handed gestures may have a potential use in VR/AR, and they provide a more natural input modality. However, there are three main challenges that need to be solved to achieve our goal. The first challenge is latency. For interactive applications, latency is crucial. For example, in virtual drumming application, what a user hears affect the timing of the next drum-hit. The second challenge is energy. It is well known that energy consumption is the bottle-neck of wearable devices. In an environment of multiple devices, energy consumption has to be optimized for all devices. We believe another challenge for such an multi-device environment is the ability of adaptation. It is even annoying to require the user to configure devices whenever the context changes, so the adaptability will be much more beneficial. For example, when the user start walking and wearing the smart glasses, the system automatically disables gesture control and shows the notification on the glasses. In multi-device system, the architecture is crucial for every device to work efficiently. Combining all data and process them in a central device forces the central device to stay in the system forever. Moreover, transmission of a large amount of data via bluetooth consumes quite much energy [1]. We therefore deploy a lightweight recognizer on each wearable device to recognize primitive gestures. Other devices can acquire these primitive gestures and fuse them into more complex gestures. For example, fusion of motion gestures from two devices, or fusion of motion gestures
{"title":"Demo: Multi-device Gestural Interfaces","authors":"Vu H. Tran, Youngki Lee, Archan Misra","doi":"10.1145/2938559.2938574","DOIUrl":"https://doi.org/10.1145/2938559.2938574","url":null,"abstract":"Varieties of wearable devices such as smart watches, Virtual/Augmented Reality devices (AR/VR) are much more affordable with interesting capabilities. In our vision, a person may use more than one devices at a time, and they form an eco-system of wearable devices. Therefore, we aim to build a system where an application expands its input and output among different devices, and adapts its input/output stream for different contexts. For example, a user wears a smart watch, a pair of smart glasses, and a smart phone in his pocket. Normally, the application on the mobile phone uses its touch screen as the input/output modality; but if the user put the mobile phone in his pocket, and wear the smart glasses, the application uses the gestures from smart watches as input, and the display of the smart glasses as output. Another advantage of such a multi-device system we want to support is multi-limb gesture. There is quite equal preference between one-handed and two-handed gestures [2]. Especially, two-handed gestures may have a potential use in VR/AR, and they provide a more natural input modality. However, there are three main challenges that need to be solved to achieve our goal. The first challenge is latency. For interactive applications, latency is crucial. For example, in virtual drumming application, what a user hears affect the timing of the next drum-hit. The second challenge is energy. It is well known that energy consumption is the bottle-neck of wearable devices. In an environment of multiple devices, energy consumption has to be optimized for all devices. We believe another challenge for such an multi-device environment is the ability of adaptation. It is even annoying to require the user to configure devices whenever the context changes, so the adaptability will be much more beneficial. For example, when the user start walking and wearing the smart glasses, the system automatically disables gesture control and shows the notification on the glasses. In multi-device system, the architecture is crucial for every device to work efficiently. Combining all data and process them in a central device forces the central device to stay in the system forever. Moreover, transmission of a large amount of data via bluetooth consumes quite much energy [1]. We therefore deploy a lightweight recognizer on each wearable device to recognize primitive gestures. Other devices can acquire these primitive gestures and fuse them into more complex gestures. For example, fusion of motion gestures from two devices, or fusion of motion gestures","PeriodicalId":298684,"journal":{"name":"MobiSys '16 Companion","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121285530","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}
Multidimensional sensing capability of a smart-phone based accelerometer and gyroscope provide detailed information about changes in magnitude and direction of forces experienced in 3D space. This leads to a better resolution of the events occurring during a collision which can be detected using a signature of such events. Event logs can further provide a deep insight for a detailed forensic analysis thus aid in realizing the knowledge for causes of collisions.
{"title":"Poster: Smart-Phones as Active Sensing Platform for Road Safety Solutions","authors":"Ashutosh Raina, D. Bansal","doi":"10.1145/2938559.2948779","DOIUrl":"https://doi.org/10.1145/2938559.2948779","url":null,"abstract":"Multidimensional sensing capability of a smart-phone based accelerometer and gyroscope provide detailed information about changes in magnitude and direction of forces experienced in 3D space. This leads to a better resolution of the events occurring during a collision which can be detected using a signature of such events. Event logs can further provide a deep insight for a detailed forensic analysis thus aid in realizing the knowledge for causes of collisions.","PeriodicalId":298684,"journal":{"name":"MobiSys '16 Companion","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125166834","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}
Dynamic spectrum access through Cognitive Radio Networks (CRNs) and exploiting multiple radios on a single node are two different well accepted techniques for enhancing network performance. Simultaneous usage of both the techniques, i.e., augmenting dynamic spectrum access with multiple radios can improve delay, however, makes throughput worse. Therefore, in this paper, we propose a novel approach to improve network throughput for multi-radio cognitive radio networks. Through ns-3 simulation, we show that our approach can boost throughput without degrading the delay.
{"title":"Poster: Overcoming Throughput Degradation in Multi-Radio Cognitive Radio Networks","authors":"Tanvir Ahmed Khan, A. Islam","doi":"10.1145/2938559.2948809","DOIUrl":"https://doi.org/10.1145/2938559.2948809","url":null,"abstract":"Dynamic spectrum access through Cognitive Radio Networks (CRNs) and exploiting multiple radios on a single node are two different well accepted techniques for enhancing network performance. Simultaneous usage of both the techniques, i.e., augmenting dynamic spectrum access with multiple radios can improve delay, however, makes throughput worse. Therefore, in this paper, we propose a novel approach to improve network throughput for multi-radio cognitive radio networks. Through ns-3 simulation, we show that our approach can boost throughput without degrading the delay.","PeriodicalId":298684,"journal":{"name":"MobiSys '16 Companion","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127198771","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：