Second Half of 2019

Transmission Latency-Aware MAC Protocol Design for Intra-Body Communications

Intra-Body Communication (IBC) is a communication method using the human body as a communication medium. The fact that our human body consists of water and electrolyte allow such communication method could work and have strength in low-power. Howeve...
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Parallelization of Genome Sequence Data Pre-Processing on Big Data and HPC Framework

Analyzing next-generation genome sequencing data in a conventional way using single server may take several tens of hours depending on the data size. However, in order to cope with emergency situations where the results need to be known within a few ...
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Multi-Hop Vehicular Cloud Construction and Resource Allocation in VANETs

Vehicular cloud computing is a new emerging technology that can provide drivers with cloud services to enable various vehicular applications. A vehicular cloud is defined as a set of vehicles that share their own resources. Vehicles should collaborat...
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Evaluation of Distributed Intrusion Detection System Based on MongoDB

Due to the development and increased usage of Internet services such as IoT and cloud computing, a large number of packets are being generated on the Internet. In order to create a safe Internet environment, malicious data that may exist among these ...
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First Half of 2019

Blockchain Based Financial Portfolio Management Using A3C

In the financial investment management strategy, the distributed investment selecting and combining various financial assets is called portfolio management theory. In recent years, the blockchain based financial assets, such as cryptocurrencies, have...
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Distributed Processing System Design and Implementation for Feature Extraction from Large-Scale Malicious Code

Traditional Malware Detection is susceptible for detecting malware which is modified by polymorphism or obfuscation technology. By learning patterns that are embedded in malware code, machine learning algorithms can detect similar behaviors and repla...
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Machine Learning Approach for Pattern Analysis of Energy Consumption in Factory

This paper describes the pattern analysis for data of the factory energy consumption by using machine learning method. While usual statistical methods or approaches require specific equations to represent the physical characteristics of the plant, ma...
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MSHR-Aware Dynamic Warp Scheduler for High Performance GPUs

Recent graphic processing units (GPUs) provide high throughput by using powerful hardware resources. However, massive memory accesses cause GPU performance degradation due to cache inefficiency. Therefore, the performance of GPU can be improved by re...
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