Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing
Springer, Jun 23, 2017 - Computers - 215 pages
This book gathers 14 of the most promising papers presented at the 18th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD 2017), which was held on June 26–28, 2017 in Kanazawa, Japan. The aim of this conference was to bring together researchers and scientists, businessmen and entrepreneurs, teachers, engineers, computer users, and students to discuss the various fields of computer science and to share their experiences and exchange new ideas and information in a meaningful way. The book presents research findings concerning all aspects (theory, applications and tools) of computer and information science, and discusses the practical challenges encountered along the way, as well as the solutions adopted to solve them.
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2 Using MongoDB Databases for Training and Combining Intrusion Detection Datasets
Service Oriented Network Management with KnowledgeBased Network Management System in Fluctuating Environment
4 A Topic Structuration Method on Time Series for a Meeting from Text Data
5 Joint Embedding of Hierarchical Structure and Context for Entity Disambiguation
Automatic Optimization of OpenCLBased Stencil Codes for FPGAs
7 Should Duration and Team Size Be Used for Effort Estimation?
8 A Lifelog Data Portfolio for Privacy Protection Based on Dynamic Data Attributes in a Lifelog Service
Estimation of Emotional Scene from Lifelog Videos in Consideration of Intensity of Various Facial Expressions
10 Developing a Framework to Support Designing of Active Learning Class
11 Where Do Drivers Look When Driving in a Foreign Country?
A Survey and Analysis
Probabilistic ModelBased Multistep Crossover Considering Dependency Between Nodes in Tree Optimization
Digital Watermark Design for TwoDimensional Codes Displayed on Smart Phone Screen Using Multiobjective Optimization and Optical Simulation
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2D code active learning AIR-NMS algorithm ALHMM analysis Apple Inc Artificial Intelligence attributes Bayesian network Big Data calculated charsets classified clock cycles crack database dataset defined Designing Method dictionary attack digital watermark dMSXF driving video entity disambiguation entropy estimation accuracy evaluation experiment expert drivers facial expression intensity facial feature points facial feature values FPGA FPGA boards Hadoop Hariyama Hidden Markov Model ICT services IEEE improve independent variables International Conference intrusion detection ISBSG Japan Japan e-mail kernel knowledge LCST Levenshtein Levenshtein distance lifelog data lifelog videos LLADP MapReduce Markov Model maximum team meeting metrics module MongoDB node NoSQL novice drivers OpenCL optimization password strength probabilistic proposed method rainbow table relatedness Science selected semantic relatedness semi-fragile sequence shows smartphone solution stencil computation structure Table Teaching Strategy Technology total fixation duration training data vectors Wikipedia