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Energy-Efficiency of OWL Reasoners—Frequency Matters [chapter]

Patrick Koopmann, Marcus Hähnel, Anni-Yasmin Turhan
2017 Lecture Notes in Computer Science  
While running times of ontology reasoners have been studied extensively, studies on energy-consumption of reasoning are scarce, and the energy-efficiency of ontology reasoning is not fully understood yet  ...  Using such a machine gives full control over installed and running software, active clusters and CPU frequencies, allowing for a more precise and detailed picture of the energy consumption of ontology  ...  Motivated by the hard energy constraints of mobile devices, several research groups have evaluated the energy consumption of ontology reasoning on smartphones [16, 23, 6] .  ... 
doi:10.1007/978-3-319-70682-5_6 fatcat:go4xq2olnnacbfwaehru7ab4t4

A Power Consumption Benchmark for Reasoners on Mobile Devices [chapter]

Evan W. Patton, Deborah L. McGuinness
2014 Lecture Notes in Computer Science  
We discuss the implications of our findings for balancing tradeoffs of local computation versus communication costs for semantic technologies on mobile platforms, sensor networks, the Internet of Things  ...  web tools on power-constrained devices.  ...  build models that can consume power profiles of various devices, ontologies, and queries to generate expectations of energy consumption.  ... 
doi:10.1007/978-3-319-11964-9_26 fatcat:psdjjkgmc5culot4qgb5duhkfy

E-SAVE: Saving energy by smart serves

Swati Soni, Yugyung Lee
2012 2012 IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM)  
We have developed the E-SAVE prototype system to monitor the usage of energy by a user or community and configure the environment of devices for smart usage of energy.  ...  There is a growing demand for non-intrusive monitoring of energy consumption behavior at multiple scales and also for autonomous energy saving opportunities for both individuals and communities.  ...  Fig 3 . 3 Device Control and Configuration Fig 4 . 4 Activity Prediction: Devices and Energy Consumption IV.  ... 
doi:10.1109/wowmom.2012.6263730 dblp:conf/wowmom/SoniL12 fatcat:oclpqfqidjemnkwh5q2gd66mca

A Generic Ontology-Based Information Model for Better Management of Microgrids [chapter]

Khouloud Salameh, Richard Chbeir, Haritza Camblong, Gilbert Tekli, Ionel Vechiu
2015 IFIP Advances in Information and Communication Technology  
Ontology as a Reasoning Strategy Due to the intermittent aspect [22] of the renewable energy sources and the exposure of the MG to predictable and non-predictable events (MG anomalies, storms, etc.),  ...  A device is an energy consumer or producer that has a specific energy load over a certain time span. An actor has minimum or maximum demands on their energy load, price and time.  ... 
doi:10.1007/978-3-319-23868-5_33 fatcat:im4kr4jmjrdhzmke6svzze46qa

Mobile Edge Computing Empowers Internet of Things [article]

Nirwan Ansari, Xiang Sun
2017 arXiv   pre-print
In addition, we propose two dynamic proxy VM migration methods to minimize the end-to-end delay between proxy VMs and their IoT devices and to minimize the total on-grid energy consumption of the cloudlets  ...  In this paper, we propose a Mobile Edge Internet of Things (MEIoT) architecture by leveraging the fiber-wireless access technology, the cloudlet concept, and the software defined networking framework.  ...  The reason for applying RDF graphs to store semantic data is to speed up the search over a large volume of semantic data.  ... 
arXiv:1709.00462v2 fatcat:uzzarmdg3zgy7jihvrsgqyiwhi

Rule-based solution for context-aware reasoning on mobile devices

Grzegorz Nalepa, Szymon Bobek
2014 Computer Science and Information Systems  
The original contribution of the paper is a proposal of a new rule-based context reasoning platform tailored to the needs of such intelligent distributed mobile computing devices.  ...  With the rapid evolution of mobile devices, the concept of context aware applications has gained a remarkable popularity in recent years.  ...  Energy efficiency -most of the sensors, when turned on all the time, decrease the mobile device battery level very fast.  ... 
doi:10.2298/csis130209002n fatcat:7gzmj2uj25cdhpcalna5lfn75u

Mobile Edge Computing Empowers Internet of Things

Nirwan ANSARI, Xiang SUN
2018 IEICE transactions on communications  
In addition, we propose two dynamic proxy VM migration methods to minimize the end-to-end delay between proxy VMs and their IoT devices and to minimize the total on-grid energy consumption of the cloudlets  ...  In this paper, we propose a Mobile Edge Internet of Things (MEIoT) architecture by leveraging the fiber-wireless access technology, the cloudlet concept, and the software defined networking framework.  ...  The reason for applying RDF graphs to store semantic data is to speed up the search over a large volume of semantic data.  ... 
doi:10.1587/transcom.2017nri0001 fatcat:6a27rea7lzfsxn2ayzzore4dwm

Behavior Life Style Analysis for Mobile Sensory Data in Cloud Computing through MapReduce

Shujaat Hussain, Jae Bang, Manhyung Han, Muhammad Ahmed, Muhammad Amin, Sungyoung Lee, Chris Nugent, Sally McClean, Bryan Scotney, Gerard Parr
2014 Sensors  
Cloud computing has revolutionized healthcare in today's world as it can be seamlessly integrated into a mobile application and sensor devices.  ...  In this paper, a hybrid and distributed environment is built which is capable of collecting data from the mobile phone application and store it in the cloud.  ...  Shujaat Hussain and Sungyoung Lee designed and implemented the big data part as well as the energy moniroting part.  ... 
doi:10.3390/s141122001 pmid:25420151 pmcid:PMC4279574 fatcat:ql33cu43uraw5f5bkzsti32et4

Assessing Data Dissemination Strategies within Triple Spaces on the Web of Things

Aitor Gomez-Goiri, Diego Lopez-de-Ipina
2012 2012 Sixth International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing  
The upcoming of the Web of Things initiative has improved the integration of Internet-connected devices through the standard HTTP protocol and other web techniques.  ...  Unfortunately, it usually defines the data shared by these devices in a syntactic level, showing a lack of expressiveness.  ...  This behavior is particularly harmful for IoT devices, since their energy consumption rises when requests are handled.  ... 
doi:10.1109/imis.2012.120 dblp:conf/imis/Gomez-GoiriL12 fatcat:kdtqlslhrbcpbccoy4gnwg4pcq

Machine Intelligence Techniques for Next-Generation Context-Aware Wireless Networks [article]

Tadilo Endeshaw Bogale, Xianbin Wang, Long Bao Le
2018 arXiv   pre-print
At the same time, generation and consumption of wireless data are becoming increasingly distributed with ongoing paradigm shift from people-centric to machine-oriented communications, making the operation  ...  These promising architectures make the adoption of artificial intelligence (AI) principles which incorporate learning, reasoning and decision-making mechanism, as natural choices for designing a tightly  ...  , and mobility speed of the IoT device 30km/hr.  ... 
arXiv:1801.04223v1 fatcat:5hrwouh6mrenvjnbqqwcbr5b3i

Privacy Oracle: Semantic reasoning for dynamic privacy risk inference Application to smart IoT environments

Karam Bou Chaaya, Mahmoud Barhamgi, Richard Chbeir, Philippe Arnould, Djamal Benslimane
2019 Future generations computer systems  
In parallel, it performs continuous reasoning over modeled information, by relying on set of privacy rules, in order to dynamically infer the privacy risks taken by the user.  ...  In this paper, we propose a context-aware semantic reasoning system, denoted as the Privacy Oracle, capable of providing users with a dynamic overview of the privacy risks taken as their context evolves  ...  The quantification of such value requires relying on several privacy metrics including (i) the uncertainty of the combined information pieces, (ii) the sensitivity degree of the disclosed p i for the user  ... 
doi:10.1016/j.future.2019.07.011 fatcat:snnpafoxjzccjlwnwzyzpvzwhi

Power Profiling of Context Aware Systems: A Contemporary Analysis and Framework for Power Conservation

Umar Mahmud, Shariq Hussain, Shunkun Yang
2018 Wireless Communications and Mobile Computing  
The devices are composed of small sensors that consume power in the order of a few mW. However, their consumptions increase manifold during data processing.  ...  Given that the devices are mobile and battery operated, the main challenge in a context awareness approach is power conservation.  ...  Acknowledgments The work reported in this paper was supported by the National Natural Science Foundation of China (Grant no. 61672080).  ... 
doi:10.1155/2018/1347967 fatcat:5v5e4wesjfbonas7rsy2slbzui

Providing Personalized Energy Management and Awareness Services for Energy Efficiency in Smart Buildings

Eleni Fotopoulou, Anastasios Zafeiropoulos, Fernando Terroso-Sáenz, Umutcan Şimşek, Aurora González-Vidal, George Tsiolis, Panagiotis Gouvas, Paris Liapis, Anna Fensel, Antonio Skarmeta
2017 Sensors  
instantiation of novel solutions in smart buildings, able to achieve significant reductions in energy consumption through the adoption of energy efficient techniques and the active engagement of the occupants  ...  Considering that the largest part of end-use energy consumption worldwide is associated with the buildings sector, there is an inherent need for the conceptualization, specification, implementation, and  ...  well as the implementation of the ENTROPY platform; Aurora González-Vidal developed a set of data mining mechanisms; Panagiotis Gouvas developed a set of semantic reasoning mechanisms based on Drools;  ... 
doi:10.3390/s17092054 pmid:28880227 pmcid:PMC5620952 fatcat:ctkvbkujj5gedhdfjybwcs2k2y

An ontology-based framework for automated code generation of Web AR applications

Lazar Đorđević, Nenad Petrović, Milorad Tošić
2020 Telfor Journal  
Three case studies are presented: smart home energy consumption monitoring application, robotics testbed companion and virtual music mixing interface.  ...  In this paper, we propose an ontology-based framework for automated Web AR application code generation leveraging semantic descriptions of application structure and behavior in synergy with domain knowledge  ...  The capabilities of energy consumption prediction and electric signal anomaly detection rely on a data-driven framework for energy efficiency presented in [24] .  ... 
doi:10.5937/telfor2001067q fatcat:rmegzzukbbh7dpt2x453mr5j7q

Monitoring of Unaccounted for Gas in Energy Domain Using Semantic Web Technologies

Kausar Parveen, Ghalib A. Shah, Muhammad Aslam, Amjad Farooq
2021 Computer systems science and engineering  
Smart Urbanization has increased tremendously over the last few years, and this has exacerbated problems in all areas of life, especially in the energy sector.  ...  gas domain of energy.  ...  Conflicts of Interest: The authors declare that they have no conflicts of interest to report regarding the present study.  ... 
doi:10.32604/csse.2021.013787 fatcat:svxbryefk5gu3n76pasxbvn3xa
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