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Development of Control Strategies and Implementation to Electrical Water Heaters for Energy Conservation

References 1. Kar, A. K., U. Kar. Optimum Design and Selection of Residential Storage Type Electric Water Heaters for Energy Conservation, Energy Convers. - Mgmt, Vol. 66, 1996, pp. 12-24. 2. Flossl, A., S. Hofmann. - Energy and Buildings, Vol. 100, 2015, pp. 10-15. 3. Kreuzinger, T., M. Bitzer, W. Marquardt. State Estimation ofa Stratified Storage Tank. - Control Engineering Practice, Vol. 16, 2008, pp. 308-320. 4. Becker, B. R., K. E. Stogsdill. A Domestic Hot Water Use Database. - ASHRAE

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Evolutionary Computing Based on QoS Oriented Energy Efficient VM Consolidation Scheme for Large Scale Cloud Data Centers

Abstract

The high pace and increase in cloud computing technology and associated applications, especially large scale data centres, have demanded energy efficient and Quality of Service (QoS) oriented computing platform. To meet these requirements, virtualization and Virtual Machine (VM) consolidation has emerged as an effective solution. The optimization in VM consolidation by means of efficient dynamic resource-utilization prediction, VM selection and placement can achieve optimal solution for energy efficient and QoS oriented cloud computing system. In this paper, an evolutionary computing algorithm called Adaptive Genetic Algorithm (A-GA) based VM consolidation approach has been developed. A-GA based placement policy and its implementation with different VM selection policies like Minimum Migration Time (MMT), Maximum Correlation (MC) and Random Selection (RS), along with different CPU utilization estimation approaches like Inter Quartile Range (IQR), Local Regression (LR), Local Robust Regression (LRR), static THReshold (THR) and Median Absolute Deviation (MAD) has revealed that A-GA based consolidation with MMT selection policy and combined IQR and LRR can enable optimal VM consolidation for large scale infrastructures. In addition, the proposed A-GA policy has exhibited better performance as compared to other meta-heuristics such as Ant Colony Optimization (ACO) and Best Fit Decreasing. The proposed consolidation system can be used for large scale cloud infrastructures where energy conservation, minimal Service Level Agreement (SLA) violation and QoS assurance is inevitable.

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Business Intelligence System via Group Decision Making

Water Network. Resources. - Conservation and Recycling, Vol. 52, 2007, pp. 441-459. 13. Morais, D. C., A. T. Almeida. Group Decision Support System Based on PROMETHEE Integrated with Problem Structuring Approach. - Group Decision and Negotiation, Stockholm, Sweden, 2013, pp. 17-20. 14. Mustakerov, I., D. Borissova. A Combinatorial Optimization Ranking Algorithm for Reasonable Decision Making. - Comptes Rendus de l’Academie Bulgare des Sciences, Vol. 66, 2013, No 1, pp. 101-110. 15. Mustakerov, I., D. Borissova. A Web

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A Multi Route Rank Based Routing Protocol for Industrial Wireless Mesh Sensor Networks

References 1. Akyildiz, I. F., W. Su, Y. Sankarasubramaniam, E. Cayirc. Wireless Sensor Networks: A Survey. - Elsevier Journal of Computer Networks, Vol. 38, 2002, No 4, pp. 393-422. 2. Römer, K., F. Mattern. The Design Space of Wireless Sensor Networks. - IEEE Wireless Communications, Vol. 11, 2004, No 6, pp. 54-61. 3. Anastasi, G., M. Conti, M. D. Francesco, A. Passarella. Energy Conservation in Wireless Sensor Networks: A Survey. - Elsevier Journal of Ad Hoc Networks, Vol. 7, 2009, No 3, pp. 537

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Method for Balancing Energy through the Mobility of Node Agent in Mobile Sensor Network

REFERENCES [1] S. Basagni, A. Carosi, C. Petrioli, “Controlled Vs. Uncontrolled Mobility in Wireless Sensor Networks: Some Performance Insights,” Vehicular Technology Conference , 2007. VTC-2007 Fall. 2007 IEEE 66th. 2007. pp. 269–273. http://dx.doi.org/10.1109/vetecf.2007.70 [2] D.M. Blough, P. Santi, “Investigating upper bounds on network lifetime extension for cell-based energy conservation techniques in stationary ad hoc networks,” Proc. of the 8th annual int. conf. on Mobile computing and networking. MobiCom ’02 . New York, NY, USA: ACM, 2002

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Group Decision Analysis with Interval Type-2 Fuzzy Numbers

References 1. Bouzon, M., K. Govindan, C. Rodriguez. Evaluating Barriers for Reverse Logistics Implementation undera Multiple Stakeholders’ Perspective Analysis Using Grey Decision Making Approach. Resources. - Conservation and Recycling, 2017, Science Direct (in Press). 2. Büyüközkan, G., S. Güleryüz. An Integrated DEMATEL-ANP Approach for Renewable Energy Resources Selection in Turkey. - Production Economics. Vol. 182, 2016, pp. 435-448. 3. Chen, Y. C., Lien, H. P. Lien, G. H. Tzeng. Measures and Evaluation

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An Automatic Method to Identify Citations to Journals in News Stories: A Case Study of UK Newspapers Citing Web of Science Journals

contexts (“Science fiction stories are”, “Nature conservation issues are”). Nevertheless, there could also be relevant results not mentioning the term journal , such as “a study published in Science” or “The findings, which have been published in Science magazine”, where these are indirectly flagged as academic journals. Many news stories do not explicitly name their sources. For instance, internationally, newspapers (The New York Times, Le Figaro and Le Monde, El País and La Vanguardia, La Repubblica, and the International Herald Tribune) seem to cite journal

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A Criteria-based Assessment of the Coverage of Scopus and Web of Science

% 23 % 30 % 497 Archaeology and Conservation 30 % 22 % 24 % 345 Musicology 30 % 22 % 31 % 196 Slavonic Studies 28 % 22 % 35 % 54 History 26 % 13 % 20 % 518 Theology and religion 22 % 8 % 15 % 811 Literature 19 % 13 % 16 % 374 Theatre and Drama 18 % 14 % 21 % 57 Ethnology 13 % 4 % 13 % 184 Interdisciplinary Humanities 12 % 8 % 14 % 377 Scandinavian Studies 11 % 3 % 5 % 331 Medicine & health Dermatology and Venerology

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Rediscovering Don Swanson:The Past, Present and Future of Literature-based Discovery

, in retrospect, the discovery could have been made simply by inspection of the public data available at the UCSC Genome Browser https://genome.ucsc.edu/ . This website brings together dozens of different types of genomic data that are calculated or measured, for example, predicted transcription factor binding regions, cross-species conservation levels, and so on. Each type of data is superimposed on the reference genome, and users can open up and visualize any number of the data sets to observe them in juxtaposition with each other. Two of the data tracks show a

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Coordinator Role Mobility Method for Increasing the Life Expectancy of Wireless Sensor Networks

References [1] S. Basagni, A. Carosi, and C. Petrioli, “Controlled Vs. Uncontrolled Mobility in Wireless Sensor Networks: Some Performance Insights,” in 2007 IEEE 66th Vehicular Technology Conference, Sep. 2007. pp. 269-273. https://doi.org/10.1109/vetecf.2007.70 [2] D. M. Blough and P. Santi, “Investigating upper bounds on network lifetime extension for cell-based energy conservation techniques in stationary ad hoc networks,” in Proceedings of the 8th annual international conference on Mobile computing and networking - MobiCom

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