By Padmanabhan Krishnan, P. Radha Krishna, Laxmi Parida
This publication constitutes the court cases of the thirteenth foreign convention on allotted Computing and net expertise, ICDCIT 2017, held in Bhubaneswar, India, in January 2017.
The 17 complete papers and three poster papers provided including 6 abstracts of invited talks have been rigorously reviewed and chosen from 208 submissions (118 summary and ninety complete paper submissions). The ICDCIT convention focusses on cellular computing; analytics; dispensed computing; digital machines; entry regulate; and protection and privateness.
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Additional info for Distributed Computing and Internet Technology: 13th International Conference, ICDCIT 2017, Bhubaneswar, India, January 13-16, 2017, Proceedings
We manually analyze these posts and our result shows the proposed features are discriminatory and support our hypothesis. Furthermore, our results reveal that despite the subjectivity in Tumblr posts, it is technically challenging to mine the religious sentiments of bloggers. Keywords: Intelligence and security informatics · Mining user generated data · Religious conﬂicts · Social computing · Text classiﬁcation · Tumblr 1 Introduction Tumblr1 is one of the most popular online micro-blogging service that allows users to make public posts about anything.
Fig. 4. Effect of varying number of cameras on number of cameras actuated Fig. 5. Effect of varying number of cameras on coverage ratio A Distributed Approach Based on HSLS-EC in Wireless Multimedia (a) 13 (b) Fig. 6. Effect of varying number of cameras on (a) Energy consumption for camera activation (joule). (b) Power consumption for camera activation (watt) Fig. 7. Effect of varying number of cameras on redundancy ratio 5 Conclusions This article presents a novel approach called Hierarchical Scalar Leader Selection for Enhanced Event Coverage that involves the selection of scalar leaders aimed at achieving desired camera actuation along with effective geographic event region coverage.
We refer here to an extension of Abstract Interpretation to system analysis, as presented in . The environment we consider is Φ = Σ × E where: – Σ is the set of all possible application internal memory environments – E is the set of all possible external environments (by the device side) 30 E. Eugenio and A. Cortesi Let σ, ε = φ ∈ Φ, we deﬁne a state as the pair q, φ , where q ∈ Q is a program point, and the set of all states by States = Φ × Q. A trace semantics of an Android application can be expressed by a set of functions on States.