• 제목/요약/키워드: Small-world network

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사이버테러 대응방안에 관한 연구 (Research on Cyber-terrorism preparation scheme)

  • 김연준;김상진
    • 융합보안논문지
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    • 제16권3_2호
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    • pp.33-42
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    • 2016
  • 정보화 사회의 발달은 인간생활에 많은 편익을 제공하는 반면에, 새로운 유형의 위협을 증대시키고 있다. 특히 사이버테러는 컴퓨터체계와 정보통신망으로 구성된 네트워크상에서 발생하고 있으며 그 방법과 피해규모는 심각한 수준에 이르고 있다. 즉 사이버테러는 현실세계가 아니라 가상공간에서 발생하여 공격주체가 누구인지?(비가시성, 비정형성), 어디에서 공격을 하는 것인지?(초국가성) 등 그 실체파악이 대단히 어려운 실정이다. 사이버테러를 시행하는 해커는 개인 혹은 소규모단체의 수준임에도 불구하고, 국가의 안전을 위협할 수 있는 새로운 위협을 제시하면서 현재도 그 위협의 양상과 규모를 더욱 진화시키고 있다. 북한의 사이버테러 규모와 능력은 세계적 수준으로 평가되고 있다. 최근 북한은 사이버테러 역량강화에 주력하고 있다. 이에 한국 안보에 직접인 위협으로 부상하고 있는 사이버테러에 대한 대응체계 개선은 선택이 아니라 국가생존을 위한 필수적인 과제이다. 따라서 한국은 북한과 주변국가로부터 발생하는 사이버테러에 선제적으로 대응하기 위해서 국가차원의 통합된 컨트롤타워 기능을 수행할 수 있도록 법적 제도적 장치를 시급히 보완해야 한다.

후발 소비재 기업의 'OEM함정' 탈출과 OBM 이행 과정의 분석: 한국 3개 기업의 사례 (Making a Transition from the OEM to the OBM in Consumer Goods Industry: Cases of Three Companies in Korea)

  • 박원명;김성희;김윤지;이근
    • 기술혁신연구
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    • 제15권2호
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    • pp.61-81
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    • 2007
  • A typical small firm in consumer goods sectors of developing countries is an OEM supplier to big MNCs. Lacking design and marketing capability, a small firm relies on the MNCs for survival but their long term growth is not guaranteed as the MNCs are always looking for, and ready to relocate to, cheaper production sites. In this light, we can say that there is something like "OEM trap" from which most firms from LDCs find difficult to move out (Lee 2005). In this situation, one way for long term growth and catch-up is to make a transition to the OBM (own brand manufacturer). But, the transition is not easy or even risky. This paper analyzes the cases of three companies in Korea to find out common features in their successful transition to OBM. They are Aurora World (a flush toy maker), Hankook Chinaware (a chinaware maker), and Hanacobi (a plastic-made food container maker with the Lock-and-Lock brand). These firms can be commonly characterized by 1) arranging access to external knowledge base and steady increase of in-house R&D efforts and capabilities leading to acquisition of formal IPRs and their management, and 2) establishment of global production networks with factories in lower-income countries as well as their own independent global marketing network.

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임베디드 리눅스 보드를 이용한 홈 네트워킹 시스템 구현에 관한 연구 (A Study On The Development Of a Home Networking System Using An Embedded Linux Board)

  • 이헌주;이종수;최경삼
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2003년도 학술회의 논문집 정보 및 제어부문 B
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    • pp.592-595
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    • 2003
  • In this paper, we have designed a Home Networking System using an embedded linux board. The system based on the World-Wide-Web is composed of three parts - a Server, a Client and a Simulator. The Home Networking Server is built in an embedded board using an embedded linux kernel. A web-server and Home Networking Server Seryice Demon programming with a Jaya-Language is included in the board. Clients can connect to the server board using a web-browser in the desktop computer, PDA or any other machines which include a web-browser. For this purpose, we made the client program using a Java-Applet. So, the clients who connect to the server for the control of the applications, download the class-file and execute the client-program in the web-browser. So, the clients don't need any other programs to control the applications from a remote place. The size of server board is very small (86.3$\times$74mm), which makes it very useful not only for the Home-Networking-System but also in many other fields, e.g., embedded robot control system, etc. Using an embedded board instead of a desktop computer is good for a simple network environment and it occupies only a small space to make the system.

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IoT 기반의 비전 및 원격제어 소형 이동 로봇 시스템 (Iot Based Vision and Remote Control a Compact Mobile Robot System)

  • 전윤채;최혜리;윤기철;김광기
    • 한국멀티미디어학회논문지
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    • 제24권2호
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    • pp.267-273
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    • 2021
  • Recently, the small-size mobile robots with remote-control are rapidly growth which market of mobile is increased in the world. Especially, the smart-phones are widely used for interface device in the small size of a mobile robot. The research goal is control system design which is applied to miniaturization of a mobile robot using smart-phone and it can be confirmed performance for designed system. Meanwhile, the fabrication of mini-mobile robot can also be remote-control operation through the WIFI performance of a smart-phone. The smart-phone is used to remote-control for robot operation which control data transmit to robot via the WIFI network. To drive the robot, we can observe by the smart-phone screen and it can easily adjust the robot drive condition and direction by smart-phone button. Consequentially, there was no malfunction and images were printed out well. However, in drive, because of blind spot, robot was bumped into obstacle. Therefore, the additional test is necessary to sensor for blind spot which sensor can be equipment to mobile robot. In addition, the experiment with robot object recognition is needed.

도서관과 지역사회의 협력 방안 - '한 책, 한 도시' 운동을 중심으로 - (Collaboration Among Libraries and Communities through 'One Book, One City' Reading Campaign)

  • 이용재
    • 한국도서관정보학회지
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    • 제40권3호
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    • pp.5-23
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    • 2009
  • 이 연구의 목적은 도서관과 지역사회의 협력 방안을 모색하는 것이다. 이 연구는 최근 국내외에서 확산되고 있는 '한 책, 한 도시' 운동을 통한 지역사회와 공공도서관의 협력 방안을 살펴보았다. 이를 위해 국내외에서의 '한 책, 한 도시' 운동의 의미와 현황을 조망한 뒤, 도서관과 지역사회의 구체적인 협력방안을 제시하였다. 그 방안을 첫째, 독서운동의 활성화, 둘째, 도서관 네트워크 구축, 셋째, 민관협력모델 정립의 측면에서 살펴보았다. 북미에서 '한 책, 한 도시' 운동은 도서관과 지역사회의 협력에 효과적인 매개체로 작용하고 있다. 이 연구는 국내에서도 확산되고 있는 이 운동이 도서관과 지역사회의 협력에 기여하기 위한 방안을 제시하기 위해, 여러 여건과 한계를 점검하였으며 구체적인 발전 방안을 모색하였다.

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Supervised Competitive Learning Neural Network with Flexible Output Layer

  • Cho, Seong-won
    • 한국지능시스템학회논문지
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    • 제11권7호
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    • pp.675-679
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    • 2001
  • In this paper, we present a new competitive learning algorithm called Dynamic Competitive Learning (DCL). DCL is a supervised learning method that dynamically generates output neurons and initializes automatically the weight vectors from training patterns. It introduces a new parameter called LOG (Limit of Grade) to decide whether an output neuron is created or not. If the class of at least one among the LOG number of nearest output neurons is the same as the class of the present training pattern, then DCL adjusts the weight vector associated with the output neuron to learn the pattern. If the classes of all the nearest output neurons are different from the class of the training pattern, a new output neuron is created and the given training pattern is used to initialize the weight vector of the created neuron. The proposed method is significantly different from the previous competitive learning algorithms in the point that the selected neuron for learning is not limited only to the winner and the output neurons are dynamically generated during the learning process. In addition, the proposed algorithm has a small number of parameters, which are easy to be determined and applied to real-world problems. Experimental results for pattern recognition of remote sensing data and handwritten numeral data indicate the superiority of DCL in comparison to the conventional competitive learning methods.

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정상 노화군과 경도인지장애 환자군의 18F-FDG-PET과 11C-PIB-PET 영상을 이용한 뇌 연결망 분석 (Brain Connectivity Analysis using 18F-FDG-PET and 11C-PIB-PET Images of Normal Aging and Mild Cognitive Impairment Participants)

  • 손성진;박현진
    • 대한의용생체공학회:의공학회지
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    • 제35권3호
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    • pp.68-74
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    • 2014
  • Recent research on mild cognitive impairment (MCI) has shown that cognitive and memory decline in this disease is accompanied by disruptive changes in the brain functional network. However, there have been no graph-theoretical studies using $^{11}C$-PIB PET data of the Alzheimer's Disease or mild cognitive impairment. In this study, we acquired $^{18}F$-FDG PET and $^{11}C$-PIB PET images of twenty-four normal aging control participants and thirty individuals with MCI from ADNI (Alzheimer's Disease Neuroimaging Initiative) database. Brain networks were constructed by thresholding binary correlation matrices using graph theoretical approaches. Both normal control and MCI group showed small-world property in $^{11}C$-PIB PET images as well as $^{18}F$-FDG PET images. $^{11}C$-PIB PET images showed significant difference between NC (normal control) and MCI over large range of sparsity values. This result will enable us to further analyze the brain using established graph-theoretical approaches for $^{11}C$-PIB PET images.

ICT를 활용한 스마트 위기관리 전략에 관한 연구 (A Study of Smart Crisis Management Strategy using Information Communication Technology)

  • 강희조
    • 한국항행학회논문지
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    • 제14권6호
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    • pp.851-858
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    • 2010
  • 21세기를 기점으로 모든 국가들이 산업과 더불어 환경을 중요시 하고 있다. 국가적인 환경분야의 중요성이 부각되고 있는 가운데 자연환경 보존이라는 키워드가 대두되면서 이를 위해 자연재해 및 재난사전 예방의 중요성이 강조되고 있다. 유비쿼터스 센서 네트워크는 소형 센서를 이용하여 주변의 정보를 획득하고 처리하여 무선 인터페이스를 통하여 다른 센서에 정보를 제공한다. 본 논문에서는 세계적으로 증가 추세에 있는 각종 재난 재해 및 사회 안전사고 등에 대하여 국민이 안전한 삶을 영위할 수 있도록 IT 기반의 센서네트워크 기술을 활용한 지능형 위기관리의 전략과 활용분야에 대하여 검토하고자 한다.

Quality of Service using Min-Max Data Size Scheduling in Wireless Sensor Networks

  • Revathi, A.;Santhi, S.G.
    • International Journal of Computer Science & Network Security
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    • 제22권9호
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    • pp.327-333
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    • 2022
  • Wireless Sensor Networks (WSNs) plays an important role in our everyday life. WSN is distributed in all the places. Nowadays WSN devices are developing our world as smart and easy to access and user-friendly. The sensor is connected to all the resources based on the uses of devices and the environment [1]. In WSN, Quality of Service is based on time synchronization and scheduling. Scheduling is important in WSN. The schedule is based on time synchronization. Min-Max data size scheduling is used in this proposed work. It is used to reduce the Delay & Energy. In this proposed work, Two-hop neighboring node is used to reduce energy consumption. Data Scheduling is used to identify the shortest path and transmit the data based on weightage. The data size is identified by three size of measurement Min, Max and Medium. The data transmission is based on time, energy, delivery, etc., the data are sent through the first level shortest path, then the data size medium, the second level shortest path is used to send the data, then the data size is small, it should be sent through the third level shortest path.

Optimized Deep Learning Techniques for Disease Detection in Rice Crop using Merged Datasets

  • Muhammad Junaid;Sohail Jabbar;Muhammad Munwar Iqbal;Saqib Majeed;Mubarak Albathan;Qaisar Abbas;Ayyaz Hussain
    • International Journal of Computer Science & Network Security
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    • 제23권3호
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    • pp.57-66
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    • 2023
  • Rice is an important food crop for most of the population in the world and it is largely cultivated in Pakistan. It not only fulfills food demand in the country but also contributes to the wealth of Pakistan. But its production can be affected by climate change. The irregularities in the climate can cause several diseases such as brown spots, bacterial blight, tungro and leaf blasts, etc. Detection of these diseases is necessary for suitable treatment. These diseases can be effectively detected using deep learning such as Convolution Neural networks. Due to the small dataset, transfer learning models such as vgg16 model can effectively detect the diseases. In this paper, vgg16, inception and xception models are used. Vgg16, inception and xception models have achieved 99.22%, 88.48% and 93.92% validation accuracies when the epoch value is set to 10. Evaluation of models has also been done using accuracy, recall, precision, and confusion matrix.