• Title/Summary/Keyword: Interconnectivity

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An Approach for Applying Network-based Moving Target Defense into Internet of Things Networks

  • Park, Tae-Keun;Park, Kyung-Min;Moon, Dae-Sung
    • Journal of the Korea Society of Computer and Information
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    • v.24 no.9
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    • pp.35-42
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    • 2019
  • In this paper, we propose an approach to apply network-based moving target defense into Internet of Things (IoT) networks. The IoT is a technology that provides the high interconnectivity of things like electronic devices. However, cyber security risks are expected to increase as the interconnectivity of such devices increases. One recent study demonstrated a man-in-the-middle attack in the statically configured IoT network. In recent years, a new approach to cyber security, called the moving target defense, has emerged as a potential solution to the challenge of static systems. The approach continuously changes system's attack surface to prevent attacks. After analyzing IPv4 / IPv6-based moving target defense schemes and IoT network-related technologies, we present our approach in terms of addressing systems, address mutation techniques, communication models, network configuration, and node mobility. In addition, we summarize the direction of future research in relation to the proposed approach.

Advances in the design of macroporous polymer scaffolds for potential applications in dentistry

  • Bencherif, Sidi A.;Braschler, Thomas M.;Renaud, Philippe
    • Journal of Periodontal and Implant Science
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    • v.43 no.6
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    • pp.251-261
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    • 2013
  • A paradigm shift is taking place in medicine and dentistry from using synthetic implants and tissue grafts to a tissue engineering approach that uses degradable porous three-dimensional (3D) material hydrogels integrated with cells and bioactive factors to regenerate tissues such as dental bone and other oral tissues. Hydrogels have been established as a biomaterial of choice for many years, as they offer diverse properties that make them ideal in regenerative medicine, including dental applications. Being highly biocompatible and similar to native extracellular matrix, hydrogels have emerged as ideal candidates in the design of 3D scaffolds for tissue regeneration and drug delivery applications. However, precise control over hydrogel properties, such as porosity, pore size, and pore interconnectivity, remains a challenge. Traditional techniques for creating conventional crosslinked polymers have demonstrated limited success in the formation of hydrogels with large pore size, thus limiting cellular infiltration, tissue ingrowth, vascularization, and matrix mineralization (in the case of bone) of tissue-engineered constructs. Emerging technologies have demonstrated the ability to control microarchitectural features in hydrogels such as the creation of large pore size, porosity, and pore interconnectivity, thus allowing the creation of engineered hydrogel scaffolds with a structure and function closely mimicking native tissues. In this review, we explore the various technologies available for the preparation of macroporous scaffolds and their potential applications.

Principles of Design for Hybrid Information Service Model (하이브리드 정보서비스 모델의 설계원칙)

  • 노진구
    • Journal of the Korean Society for information Management
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    • v.18 no.3
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    • pp.87-114
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    • 2001
  • A hybrid information environment can be described as one where an appropriate range of heterogeneous information services is presented to the user in a consistent and integrated way via a single interface. The purpose of this study is to suggest a need of hybrid information services through understanding of the hybrid information environment and hybrid library. Additionally, this study deal with basic concepts of design for a hybrid information service model and address a number of hybrid library projects based on these concepts, such as Agora, BUILDER, HealdLine, HyLife, and MALIBU. Finally, this study survey generic a model of hybrid library and suggest basic principles for building of hybrid information service model, such as integration, seamlessness, authentication, interconnectivity, and personalization of information seeking process environment.

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Time-Series Causality Analysis using VAR and Graph Theory: The Case of U.S. Soybean Markets (VAR와 그래프이론을 이용한 시계열의 인과성 분석 -미국 대두 가격 사례분석-)

  • Park, Hojeong;Yun, Won-Cheol
    • Environmental and Resource Economics Review
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    • v.12 no.4
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    • pp.687-708
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    • 2003
  • The purpose of this paper is to introduce time-series causality analysis by combining time-series technique with graph theory. Vector autoregressive (VAR) models can provide reasonable interpretation only when the contemporaneous variables stand in a well-defined causal order. We show that how graph theory can be applied to search for the causal structure In VAR analysis. Using Maryland crop cash prices and CBOT futures price data, we estimate a VAR model with directed acyclic graph analysis. This expands our understanding the degree of interconnectivity between the employed time-series variables.

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Multi-Target Tracking System based on Neural Network Data Association Algorithm (신경회로망 데이터 연관 알고리즘에 근거한 다중표적 추적 시스템)

  • 이진호;류충상;김은수
    • Journal of the Korean Institute of Telematics and Electronics A
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    • v.29A no.11
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    • pp.70-77
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    • 1992
  • Generally, the conventional tracking algorithms are very limited in the practical applications because of that the computation load is exponentially increased as the number of targets being tracked is increase. Recently, to overcome this kind of limitation, some new tracking methods based on neural network algorithms which have learning and parallel processing capabilities are introduced. By application of neural networks to multi-target tracking problems, the tracking system can be made computationally independent of the number of objects being tracked, through their characteristics of massive parallelism and dense interconnectivity. In this paper, a new neural network tracking algorithm, which has capability of adaptive target tracking with little increase of the amount of calculation under the clutter and noisy environments, is suggested and the possibility of real-time multi-target tracking system based on neural networks is also demonstrated through some good computer simulation results.

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System-Driven Approaches to 3D Integration

  • Beyne Eric
    • Proceedings of the International Microelectronics And Packaging Society Conference
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    • 2005.09a
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    • pp.23-34
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    • 2005
  • Electronic interconnection and packaging is mainly performed in a planar, 2D design style. Further miniaturization and performance enhancement of electronic systems will more and more require the use of 3D interconnection schemes. Key technologies for realizing true 3D interconnect schemes are the realization of vertical connections, either through the Si-die or through the multilayer interconnect with embedded die. Different applications require different complexities of 3D-interconnectivity. Therefore, different technologies may be used. These can be categorized as a more traditional packaging approach, a wafer-level-packaging, WLP ('above' passivation), approach and a foundry level ('below' passivation) approach. We define these technologies as respectively 3D-SIP, 3D-WLP and 3D-SIC. In this paper, these technologies are discussed in more detail.

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Enhancing Security Gaps in Smart Grid Communication

  • Lee, Sang-Hyun;Jeong, Heon;Moon, Kyung-Il
    • International Journal of Advanced Culture Technology
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    • v.2 no.2
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    • pp.7-10
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    • 2014
  • In order to develop smart grid communications infrastructure, a high level of interconnectivity and reliability among its nodes is required. Sensors, advanced metering devices, electrical appliances, and monitoring devices, just to mention a few, will be highly interconnected allowing for the seamless flow of data. Reliability and security in this flow of data between nodes is crucial due to the low latency and cyber-attacks resilience requirements of the Smart Grid. In particular, Artificial Intelligence techniques such as Fuzzy Logic, Bayesian Inference, Neural Networks, and other methods can be employed to enhance the security gaps in conventional IDSs. A distributed FPGA-based network with adaptive and cooperative capabilities can be used to study several security and communication aspects of the smart grid infrastructure both from the attackers and defensive point of view. In this paper, the vital issue of security in the smart grid is discussed, along with a possible approach to achieve this by employing FPGA based Radial Basis Function (RBF) network intrusion.

Building n Domain-Specific French-Korean Lexicon

  • N, Aesun-Yoo
    • Proceedings of the Korean Society for Language and Information Conference
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    • 2002.02a
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    • pp.465-474
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    • 2002
  • Korean government has adopted the French TGV as a high-speed transportation system and the first service is scheduled at the end of 2003. TGV-relevant documents are consisted of huge volumes, of which over than 76% has been translated in English. A large part of the English version is, however, incomprehensible without referring to the original French version. The goal of this paper is to demonstrate how DiET 2.5, a lexicon builder, makes it possible to build with ease domain-specific terminology lexicon that may contain multimedia and multilingual data with multi-layered logical information. We believe our wok shows an important step in enlarging the language scope and the development of electronic lexica, and in providing the flexibility of defining any type of the DTD and the interconnectivity among collaborators. As an application of DiET 2.5, we would like to build a TGV-relevant lexicon in the near future.

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Reconstruction of structured models using incomplete measured data

  • Yu, Yan;Dong, Bo;Yu, Bo
    • Structural Engineering and Mechanics
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    • v.62 no.3
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    • pp.303-310
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    • 2017
  • The model updating problems, which are to find the optimal approximation to the discrete quadratic model obtained by the finite element method, are critically important to the vibration analysis. In this paper, the structured model updating problem is considered, where the coefficient matrices are required to be symmetric and positive semidefinite, represent the interconnectivity of elements in the physical configuration and minimize the dynamics equations, and furthermore, due to the physical feasibility, the physical parameters should be positive. To the best of our knowledge, the model updating problem involving all these constraints has not been proposed in the existed literature. In this paper, based on the semidefinite programming technique, we design a general-purpose numerical algorithm for solving the structured model updating problems with incomplete measured data and present some numerical results to demonstrate the effectiveness of our method.