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A framework of energy efficient mobile sensing for automatic user state recognition

Yi Wang, Jialiu Lin, Murali Annavaram, Quinn A. Jacobson, Jason Hong, Bhaskar Krishnamachari, Norman Sadeh
2009 Proceedings of the 7th international conference on Mobile systems, applications, and services - Mobisys '09  
In this paper, we present a novel design framework for an Energy Efficient Mobile Sensing System (EEMSS).  ...  Urban sensing, participatory sensing, and user activity recognition can provide rich contextual information for mobile applications such as social networking and location-based services.  ...  To address the problem of energy efficiency in mobile sensing, we present the design, implementation, and evaluation of EEMSS, an energy efficient mobile sensing system that incorporates a hierarchical  ... 
doi:10.1145/1555816.1555835 dblp:conf/mobisys/WangLAJHKS09 fatcat:6saqihq2y5bqnkloa6qjgydeyy

Ubiquitous Computing Frameworks and Location Sensing Technologies: A Survey

Swetha K., G. C.
2018 International Journal of Computer Applications  
Ubiquitous computing (ubicomp) supports a widely networked infrastructure of a multitude of sensing and computing devices.  ...  Ubiquitous computing framework provides a structure and set of libraries to design and develop customized ubiquitous computing applications.  ...   Higher interaction and user friendly An Energy-Efficient Context Data reduction approach to lower the  Energy Efficient Table 2 : 2 Types of Location Sensing Methods and Examples [26]  ... 
doi:10.5120/ijca2018918169 fatcat:iki35jjxgra2dkx43zsnmtgnku

MSF: An Efficient Mobile Phone Sensing Framework

Giuseppe Cardone, Andrea Cirri, Antonio Corradi, Luca Foschini, Dario Maio
2013 International Journal of Distributed Sensor Networks  
To overcome those limitations, this paper proposes Mobile Sensing Framework (MSF), a flexible platform to ease the development of mobile sensing applications through the definition of a common set of facilities  ...  A new promising research area called mobile sensing promotes completely decentralized sensing based on smartphone capabilities only.  ...  To address all previous issues, we propose the Mobile Sensing Framework (MSF) solution, a novel Android framework for mobile sensing that aims at offering app developers a set of attractive facilities  ... 
doi:10.1155/2013/538937 fatcat:xcco6lo5tfcibevyl27divzuaa

Effector: Energy Efficient Mobility Classification and State Based Route Creation

2016 International Journal of Science and Research (IJSR)  
This method presents an energy efficient novel framework capable of identifying mobility state of the user and creating route maps based upon a probabilistic algorithm that neutralizes the effect of different  ...  On demand remote data exchange for analysis and processing of measurements plays a key role in mobility state analysis using accelerometer sensor which is less energy efficient has higher network costs  ...  Wang [8] in his work identifies an Energy Efficient Mobile Sensing for Automatic User State Recognition (EEMSS) which is a sensor management scheme for mobile devices.  ... 
doi:10.21275/v5i4.nov162789 fatcat:tbvg7p2qtbabdga2rvm3m7o55q

USR: Enabling Identity Awareness and Usable App Access Control During Hand-free Mobile Interactions

Tao Feng, Zhimin Gao, Dainis Boumber, Tzu-Hua Liu, Nicholas DeSalvo, Xi Zhao, Weidong Shi
2014 Proceedings of the 6th International Conference on Mobile Computing, Applications and Services  
This USR framework consists of an application interface, a speaker recognition module, a speech recognition module, and an identity management module.  ...  We propose a new approach for improving user experience and privacy protection during human-mobile speech interaction by considering factors, such as user identity, application privacy level, usable app  ...  INTRODUCTION The commercialization of Automatic Speech Recognition (ASR) technologies has ushered in a new era of handsfree user-mobile device interactions.  ... 
doi:10.4108/icst.mobicase.2014.257766 dblp:conf/mobicase/FengGBLDZS14 fatcat:e7lszix7ufb23kcdk55fsh6vau


Karl Aberer, Jean-Eudes Ranvier, Matteo Vasirani, Zhixian Yan, Michele Catasta, Georgios Christodoulou, Ivan Gavrilovic, Filip Hrisafov, Mathieu Monney, Abdessalam Ouaazki, Boris Perovic, Horia Radu
2014 Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing Adjunct Publication - UbiComp '14 Adjunct  
The profusion of sensors embedded in modern mobile devices collect an increasing amount of information about the activities performed by a user.  ...  In addition to building a digital diary of the user, the semantic approach taken by Memo-it is able to answer multi-dimensional queries, and to enable the inter-operability of memories between users.  ...  We are also thankful to Andrea Peltrin for the great design work.  ... 
doi:10.1145/2638728.2638753 dblp:conf/huc/AbererCCGHMOPRRVY14 fatcat:foglz76azfgcdlevhedxavjjqe

Context-Awareness for Mobile Sensing: A Survey and Future Directions

Ozgur Yurur, Chi Harold Liu, Zhengguo Sheng, Victor C. M. Leung, Wilfrido Moreno, Kin K. Leung
2016 IEEE Communications Surveys and Tutorials  
The key idea behind context-aware applications is to encourage users to collect, analyze and share local sensory knowledge in the purpose for a large scale community use by creating a smart network.  ...  The existence and awareness of the context provides the capability of being conscious of physical environments or situations around mobile device users.  ...  of user state classes at similar speed.  ... 
doi:10.1109/comst.2014.2381246 fatcat:tzbqt6k23va3tltwxwg5jgvel4

Thinking Fast and Slow: An Approach to Energy-Efficient Human Activity Recognition on Mobile Devices

Yifei Jiang, Du Li, Qin Lv
2013 The AI Magazine  
Inspired by this model, we propose a framework for implementing human activity recognition on mobile devices.  ...  For the scope of this paper, we first elaborate our framework in a subproblem in activity recognition, trip detection, which recognizes significant places and trips between them.  ...  Contributions of This Paper In this paper, we propose a framework for automatic, accurate, timely, and energy-efficient trip detection on mobile devices.  ... 
doi:10.1609/aimag.v34i2.2473 fatcat:nrlshx4hm5ebno5v6pyidbufki

Mobile crowd sensing architectural frameworks: A comprehensive survey

Malamati Louta, Konstantina Mpanti, George Karetsos, Thomas Lagkas
2016 2016 7th International Conference on Information, Intelligence, Systems & Applications (IISA)  
Mobile Crowd Sensing has emerged as a new sensing paradigm, efficiently exploiting human intelligence and mobility in conjunction with advanced capabilities and proliferation of mobile devices.  ...  In order for MCS applications to reach their full potentials, a number of research challenges should be sufficiently addressed.  ...  CAROMM In [16] , the authors propose and develop a context-aware real-time open mobile miner (CAROMM) framework to support efficient and scalable data collection for mobile crowd sensing.  ... 
doi:10.1109/iisa.2016.7785385 dblp:conf/iisa/LoutaMKL16 fatcat:3dhrmp3pqfgu7jigtdjnkexgny


Youngki Lee, S. S. Iyengar, Chulhong Min, Younghyun Ju, Seungwoo Kang, Taiwoo Park, Jinwon Lee, Yunseok Rhee, Junehwa Song
2012 Communications of the ACM  
However, false-state CMQs are also an opportunity to advance energy efficiency, with MobiCon choosing a false-state context element associated with the most energy-efficient sensors.  ...  MobiCon includes an efficient sensor-control mechanism to enhance the energy efficiency of sensors and mobile devices.  ... 
doi:10.1145/2093548.2093567 fatcat:lgob43glbjc45gqurndyc2ixrq

Research on the Intensive Material Management System of Biomass Power Plant

Ruosi Zhang, Tianyi Hao, Yunxiao Li, Fangqing Zhang, Sheng Ding
2017 IOP Conference Series: Materials Science and Engineering  
It has an important significance for safe, cost-effective and highly efficient operation of the plant.  ...  In view of the universal problem which the material management is loose, and lack of standardization and interactive real-time in the biomass power plant, a system based on the method of intensive management  ...  A typical framework of IOT is divided into 3 layers including sensing layer, network layer and application layer from bottom to top [3] .  ... 
doi:10.1088/1757-899x/199/1/012020 fatcat:ig6ekhucpfdlbpfjvreudkktt4

Semi-Markov state estimation and policy optimization for energy efficient mobile sensing

Yi Wang, Bhaskar Krishnamachari, Murali Annavaram
2012 2012 9th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks (SECON)  
A pervasive question, however, is how the sensors on the mobile device should be sampled energy efficiently without sacrificing too much detection accuracy.  ...  Finally, in order to evaluate the performance of u * s , we implement a client-server based basic human activity recognition system on N95 smartphones and desktops which automatically computes user-specific  ...  The optimal sensor duty cycles are then transferred back to mobile client to begin energy efficient sensing, which is realized via the Energy Efficient Sensing Module.  ... 
doi:10.1109/secon.2012.6275823 dblp:conf/secon/WangKA12 fatcat:y6dnmhd4erabbk3j67rv73347m

Energy efficient indoor tracking on smartphones

Dezhong Yao, Chen Yu, Anind K. Dey, Christian Koehler, Geyong Min, Laurence T. Yang, Hai Jin
2014 Future generations computer systems  
The main goal of this paper is to build an energy-efficient localization framework that automatically manages sensor availability, accuracy and energy.  ...  Particularly such tracking systems on battery-limited mobile devices must be energy-efficient to limit the impact on the experience of using a phone.  ...  Recognition accuracy is the ratio of the number of correctly recognized states to the total number of states. Fig. 11(a) shows a record of our participants from 8:00 to 20:00.  ... 
doi:10.1016/j.future.2013.12.032 fatcat:id4oyu53hvaqpervjabrlsmoey

Survey paper on Context Sensing and Proximity Sensing for Smartphones

Arun Algude, Akshay Jain, Aditya Chaudhari, Rupali S.
2017 International Journal of Computer Applications  
Context awareness is obtaining more and more vital for variety of mobile and pervasive applications on these days smartphones.  ...  Styling and implementing good smart application, a micro-environment sensing platform that automatically records sensing data information and characterize the micro-environment of smartphones, is the main  ...  In mobile systems, context-awareness may be a computing technology that comes with data regarding the present surroundings of a mobile user to supply additional relevant services to the user.  ... 
doi:10.5120/ijca2017912641 fatcat:q45yiluf6vgpvhvnmn5pj5oaye

Self organization based energy management techniques in mobile complex networks: a review

Bahjat Fatima, Munam Ali Shah
2015 Complex Adaptive Systems Modeling  
Today's mobile devices offer a variety of computational, memory, storage, communication and sensing resources.  ...  However, the usage of power-hungry applications, sensors and their demand for 24/7 Internet connectivity requires an efficient energy management mechanism in mobile devices.  ...  Sensors • Energy-efficient continuous sensing has become a hot concern for both researchers and developers of mobile applications. • Several schemes have been proposed for energy-efficient sensing, which  ... 
doi:10.1186/s40294-015-0008-1 fatcat:kraccshxdjbtlawjjoogv35zzu
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