• Title/Summary/Keyword: The Industry Network

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A Study of CAN Routing Protocol for Efficient Communication Environment Based on Distance Vector Routing Protocol in Heterogeneous Field Sensor Network (이기종 필드 센서 네트워크의 효율적인 통신 환경을 위한 거리벡터 라우팅 프로토콜 기반 CAN 라우팅 프로토콜에 관한 연구)

  • Han, Kyoung-Heon;Han, Seung-Jo
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.17 no.8
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    • pp.1820-1826
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    • 2013
  • Heterogeneous field sensor network between sensor to sensor is designed the CAN method to bus type structure in most using at industry. This Network is supporting a distance vector routing protocol on a characteristic structural a bus type. Also This network support to convert as making separate routing table in heterogeneous network. However distance vector routing protocol make a problem of decrease efficiency because of restriction of network expandability and low transmission process. We propose new CAN routing protocol to support network expandability and high transmission process of industry network. New CAN routing protocol structure addition priority and optional function field based on RIPv2. We established heterogeneous field sensor network, we measure data Throughput(bits/sec) for confirm new CAN routing protocol to increase efficient in industry.

Analyzing the Ecosystem of the Domestic Online Game Industry : Focusing on the Linkage between Developers and Publishers (국내 온라인 게임 산업 생태계 분석 : 개발사-퍼블리셔 관계를 중심으로)

  • Chun, Hoon;Lee, Hakyeon
    • Journal of Korean Institute of Industrial Engineers
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    • v.42 no.2
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    • pp.138-150
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    • 2016
  • This study aims to analyze the structure and characteristics of the domestic online game industry using network analysis. In particular, two-mode network analysis is employed to measure the network structure, centrality, and cluster for two types of online game platforms, online games and mobile games, from 1996 to 2014. We also conduct a dynamic analysis to capture the structural changes in the ecosystem by internal and external environmental changes before and after turning point for each online game platform. It is revealed that the online game econsystem has the higher number of clusters and higher concentration ratio than those of mobile game ecosystem. In dynamic analysis, both platforms exhibit similar trends over time with the increasing number of clusters, enlargement of largest cluster's size, and decreasing concentration ratio. This study is expected to provide fruitful implications for strategic decision making of online game companies and policy making for the online game industry.

A Study on Korean Industrial Network Development via Process Modeling (프로세스 모형 관점에서 살펴본 한국 산업단지 발전에 관한 연구)

  • Kim, Jin Suk
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.18 no.4
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    • pp.648-652
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    • 2017
  • The industrial network policies of a country play an important role in both present and future economic development. This network is very important for the development of Korea. This paper employs a model for the Korean Network.Section 2 identifies network theory as a theoretical background. Additionally, the process model for the network is developed. In the third section, research methods are detailed. In section 4, a network model based on the industrial estate with regard to innovation networks is formed. Finally, limitations of the study and the conclusions are discussed.

A Study on the Effect of Network Activity Characteristics on the Technological Innovation Performance: Focused on Relational Capital, Industry-University Linkage and Informal Exchange (네트워크 활동 특성이 R&D 수행기업의 기술혁신 성과에 미치는 영향에 대한 연구 : 관계자본, 산학연 연계, 비공식교류를 중심으로)

  • Sim, Seong-Hag;Seo, Hwan-Joo
    • Asia-Pacific Journal of Business
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    • v.10 no.4
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    • pp.49-63
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    • 2019
  • The export regulation of semiconductor core materials, which began with the recent revision of the export management regulations of Japan, raises the need for a new cooperation network. A hierarchical management network that was effective in the fast-follower system requires organic cooperation between the public sector and industry through a multilateral network that emphasizes horizontal co-operation among innovation actors. This study focused on the relational capital that exists among members of a business association such as an association that has been relatively marginalized from previous studies. In addition, this study aimed to analyze the effect of network activity characteristics such as industry-university linkage and informal exchange on technological innovation. Through this, I would like to draw implications for enhancing the effectiveness of the government's R & D support and innovation performance of R & D companies. Based on the results of the SMEs R & D survey, this study found that relational capital, informal exchange had a positive effect on technological innovation performance. However, if the relational capital exceeds a certain level, it is analyzed that there is a negative effect due to group think and lock-in effect. This means that informal exchange channels should be expanded for innovation and enhancement, and relational capital should be managed in consideration of the negative effects that may occur when certain levels are exceeded.

Factors Affecting Business Performance: An Empirical Study of the Creative Industry in Semarang, Indonesia

  • HIKMAH, Hikmah;RATNAWATI, Andalan Tri;DARMANTO, Susetyo
    • The Journal of Asian Finance, Economics and Business
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    • v.8 no.12
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    • pp.455-463
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    • 2021
  • The creative industry has an important role in economic development, but creative economy entrepreneurs still face many problems in business development and sustaining their businesses. The purpose of the study is to investigate the effect of entrepreneurship orientation, innovative product advantages, and social network quality on business performance to help companies stay competitive. The research uses a quantitative approach with the population being the owner of the creative industry in Semarang City, Central Java, Indonesia. The sampling technique used is convenience sampling, obtained as many as 126 creative industry owners. Data was analyzed using Structural Equation Modeling Partial Least Square (SEM-PLS). The findings of this study show that entrepreneurial orientation, innovative product advantage, and social network quality have a positive effect on the business performance of the creative industry in Semarang City, Central Java, Indonesia. According to the study, a company with superior resources can win the competition and achieve business sustainability. When compared to competing organizations, the benefits of resources and competitive ability will create a competitive edge. As a result, stakeholders such as the government, the corporate sector, and universities are expected to play a larger role in accelerating the growth and development of creative industries.

The Belt and Road Initiative and the US-China Trade War: Implications for Global Trade Networks (일대일로와 미·중 무역 분쟁: 글로벌 무역 네트워크에의 함의)

  • Hyun, Kisoon
    • Journal of the Economic Geographical Society of Korea
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    • v.24 no.3
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    • pp.243-258
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    • 2021
  • By using the trade in value-added(TiVA) database and employing social network analysis, this paper analyzes changes in global trade to be triggered by the Belt and Road Initiative (BRI) and the US-China trade war. The main results are summarized as follows. First, the BRI will help maintain China's core position as the world's manufacturing hub, and will strengthen Europe's service industry capabilities within the global value chain(GVC) network. Second, the US R&D industry, US wholesale and retail industries, and Germany's automobile industry were considered the most influential industries in the GVC network during the 1995-2011 period, and will retain their status until 2049, when the US-China trade war and the BRI are reflected. Third, the increase of the number of communities shows that the BRI might spur fragmentation of the production process. Finally, community structures of inter-industry trade relations, including China's electronics industry, Germany's automobile industry, and US R&D, show important features that are related to the competiveness of each country's service industries.

A Comparative Study on the Performance of Intrusion Detection using Decision Tree and Artificial Neural Network Models (의사결정트리와 인공 신경망 기법을 이용한 침입탐지 효율성 비교 연구)

  • Jo, Seongrae;Sung, Haengnam;Ahn, Byunghyuk
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.11 no.4
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    • pp.33-45
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    • 2015
  • Currently, Internet is used an essential tool in the business area. Despite this importance, there is a risk of network attacks attempting collection of fraudulence, private information, and cyber terrorism. Firewalls and IDS(Intrusion Detection System) are tools against those attacks. IDS is used to determine whether a network data is a network attack. IDS analyzes the network data using various techniques including expert system, data mining, and state transition analysis. This paper tries to compare the performance of two data mining models in detecting network attacks. They are decision tree (C4.5), and neural network (FANN model). I trained and tested these models with data and measured the effectiveness in terms of detection accuracy, detection rate, and false alarm rate. This paper tries to find out which model is effective in intrusion detection. In the analysis, I used KDD Cup 99 data which is a benchmark data in intrusion detection research. I used an open source Weka software for C4.5 model, and C++ code available for FANN model.

Dynamic analysis of short circulation with OPR prediction used neural network (Neural network을 이용한 OPR예측과 short circulation 동특성 분석)

  • Jeon, Jun-Seok;Yeo, Yeong-Gu;Park, Si-Han;Gang, Hong
    • Proceedings of the Korea Technical Association of the Pulp and Paper Industry Conference
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    • 2004.04a
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    • pp.86-96
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    • 2004
  • Identification of dynamics of short circulation during grade change operations in paper mills is very important for the effective plant operation. In the present study a prediction method of One Pass Retention(OPR) is proposed based on the neural network. The present method is used to analyze the dynamics of short circulation during grade change. Properties of the product paper largely depend upon the change in the OPR. In the present study the OPR is predicted from the training of the network by using grade change operation data. The results of the prediction are applied to the modeling equation to give flow rates and consistencies of short circulation.

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Trends in Network and AI Technologies (네트워크와 AI 기술 동향)

  • Kim, Tae Yeon;Ko, Namseok;Yang, Sunhee;Kim, Sun Me
    • Electronics and Telecommunications Trends
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    • v.35 no.5
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    • pp.1-13
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    • 2020
  • Recently, network infrastructure has evolved into a BizTech agile autonomous network to cope with the dynamic changes in the service environment. This survey presents the expectations from two different perspectives of the harmonization of network and artificial intelligence (AI) technologies. First, the paper focuses on the possibilities of AI technology for the autonomous network industry. Subsequently, it discusses how networks can play a role in the evolution of distributed AI technologies.

Bitmap-based Routing Protocol for Improving Energy and Memory Efficiency (에너지 및 메모리 효율성을 개선한 비트맵기반 라우팅 프로토콜)

  • Choi, Hae Won;Kim, Sang Jin;Ryoo, Myung Chun
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.5 no.3
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    • pp.59-67
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    • 2009
  • This paper proposes a improved bitmap routing protocol, which finds the best energy efficient routing path by minimizing the network overheads and prolongs the overall network lifetime. Jung proposed a bitmap scheme for sensor networks. His scheme uses a bitmap table to represent the connection information between nodes. However, it has a problem that the table size is depends on the number of nodes in the sensor networks. The problem is very serious in the sensor node with a limited memory. Thereby, this paper proposes a improved bitmap routing protocol to solve the problem in Jung's scheme. Proposed protocol over the memory restricted sensor network could optimize the size of bitmap table by applying the deployed network property. Proposed protocol could be used in the diversity of sensor networks due to it has minimum memory overheads.