• Title/Summary/Keyword: Network anaysis

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Simulation Anaysis for Determining Location and Size of Logistic Network (물류 네트워크 구축을 위한 입지 및 규모 선정을 위한 시뮬레이션 분석)

  • Jeong, Suk-Jae;Lee, Jae-Jun;Kim, Kyung-Sup
    • Journal of the Korea Society for Simulation
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    • v.14 no.3
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    • pp.67-77
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    • 2005
  • Logistics network of the enterprise is defined to determine the optimal node and link considering the production, inventory and transportation based on the demand forecasting. This study consider the optimal logistics network of A painter company which maintain the existing transportation network and plan to relocate its plants and build new distribution centers. For this, we design possible alternative scenarios and install the simulation models for analysis of each scenario. The result of simulation will help the proper logistic network and determining the size of distribution center further.

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Study on the Prevention of Patent Disputes through Network Analysis - Focusing on NPEs in Smart Car Industry - (스마트카 특허분쟁 네트워크분석을 통한 특허분쟁예방에 관한 연구)

  • Ryu, ChangHan;Suh, Minsuk
    • Transactions of the Korean Society of Automotive Engineers
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    • v.23 no.3
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    • pp.315-325
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    • 2015
  • Smart Car market has been experiencing continuous growth to drive leading companies in automotive and IT industries to focus on advancing related technologies. As the IT technologies fuse into automotive technologies, the patent litigation has been showing changes. One of the prominent changes in patent litigation pattern of Smart Car field is the increased activities of the Non-Practicing Entities (NPEs), whose main field has been the IT area. However, the automotive companies have been mainly focusing on preventing patent disputes against competitors through trend analysis, which caused them to become relatively vulnerable to the attacks from NPEs. In this study, we developed a methodology for monitoring and analyzing the activities of NPEs using network analysis tools to suggest effective strategies for manufacturing companies to fortify their ability to respond against unanticipated attacks. Our methodology, which is developed for the Smart Car field, can also be useful for other fields such as IT and electronics.

A Correction Security Framework for Reliable Internet Services (신뢰성 있는 인터넷 서비스 제공을 위한 교정 보안 프레임워크)

  • Lee, Seung-Min;Nam, Taek-Yong;Sohn, Sung-Won;Han, Chi-Moon
    • The KIPS Transactions:PartC
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    • v.10C no.6
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    • pp.779-786
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    • 2003
  • We propose a correction security framework as next generation security technology to provide secure and reliable Internet services. The framework guarantees durability of the services in spite of external attack, intrusion, vulnerability for fault tolerance, and network management technology that covers the set of techniques aimed at providing rapid service recovery. The improvement technology includes system itself improvement and synamic improvement preventing faults from being re-activated, in cooperation with other systems such as vulnerability anaysis system, NMS, ESM. It is expected that our framework will be applied to global networks as well as system alone, and be able to guarantee the network survivability and reliable Internet services.

Recognition of Emotion Interaction by Measuring Social Distance in Real Time (실시간 Social Distance 추적에 의한 감성 상호작용 인식 기술 개발)

  • Lee, Hyunwoo;Woo, Jincheol;Cho, Ayoung;Jo, Youngho;Whang, Mincheol
    • Science of Emotion and Sensibility
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    • v.20 no.3
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    • pp.89-96
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    • 2017
  • This study developed a method which recognizes emotional interactions from the social distance by a beacon wearable device. The recognized interaction was evaluated by comparing with the cardiovascular synchrony from photoplethysmogram (PPG). The interaction was recognized when social distance was maintained for a certain period of time. The cardiovascular synchrony was estimated by correlation anaysis between beat per minute (BPM) from PPG. The maintenance time was determined by Mann-Whitney U test between the cardiovascular synchrony of interaction and non-interaction groups. Fifteen groups (2 persons per a group) participated in the experiment and they were asked to wear the beacon and PPG wearable devices in daily life. Experimental results showed that the interaction groups had more higher cardiovascular synchrony than non-interaction groups and the significant interaction time was determined to be 11 seconds (p=.045). Consequently, the real-time measurement and evaluation of the social network in real space was expected to be improved.

Communication Models and Performance Evaluation for the Delivery of Data and Policy in a Hybrid-Type Intrusion Detection System (혼합형 침입 탐지 시스템에서 데이터 및 정책 전달 통신 모델과 성능 평가)

  • Jang, Jung-Sook;Jeon, Yong-Hee;Jang, Jong-Soo;Sohn, Seung-Won
    • The KIPS Transactions:PartC
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    • v.10C no.6
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    • pp.727-738
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    • 2003
  • Much research efforts are being exerted for the study of intrusion detection system(IDS). However little work has been for the communication medels and performance eveluation of the IDS. Here we present a communication framework for doing hybrid intrusion detection in which agents are used for local intrusion detections with a centralized data anaysis componenta for a global intrusion detection at multiple domains environment. We also assume the combination of host-based and network-based intrusion detection systems in the oberall framework. From the local domain, a set of information such as alert, and / or log data are reported to the upper level. At the root of the hierarchy, there is a global manager where data coalescing is performed. The global manager delivers a security policy to its lower levels as the result of aggregation and correlation of intrusion detection alerts. In this paper, we model the communication mechanisms for the hybrid IDS and develop a simular using OPNET modeller for the performance evaluation of transmission capabillities for the delivery of data and policy. We present and compare simulation results based on several scenarios focuding on communication delay.

A study on the Domestic Consumer's Perception of "Hansik" with Big Data Analysis : Using Text Mining and Semantic Network Analysis (빅데이터를 통한 내국인의 '한식' 인식 연구 : 텍스트마이닝과 의미연결망 중심으로)

  • Park, Kyeong-Won;Yun, Hee-Kyoung
    • Journal of the Korea Convergence Society
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    • v.11 no.6
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    • pp.145-151
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    • 2020
  • 'Hansik', or Korean cuisine is one of Korea national brands. To understand the domestic consumer awareness of Korean cuisine, data was gathered under the keyword search, 'Hansik.' Textom 3.5 was used to gather data from blogs, news media found on Naver from November 1, 2018, to October 31, 2019. The results from frequency and TF-IDF analysis indicate that the 'buffet' had the largest proportion in terms of consumer awareness to Hansik. Also, broadcasting contents starring star chefs had a great influence. The Hansik awareness did not remain in the domains of its traditionality, but also branched into extents into areas such as fusional and gourmet cuisine. UCINET6 and NetDraw were used to conduct CONCOR analysis. Four cluster formations have been found; various food cultural cluster, high-end restaurant cluster referring to aired restaurants on media, Hansik brand cluster, and Hansik buffet cluster. This study proposes presenting a various menu of Hansik which use a multiple number of ingredients. Also, a promotion that introduces fine Hansik and a development of marketing views and media contents about the convenient HMRs make the associated imagery of Hansik to be strengthen.