• Title/Summary/Keyword: Physical Network

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UPnP Services for RFID Context-Aware System (RFID 상황인식 시스템을 위한 UPnP 서비스)

  • Kim, Dong-Kyun;Jeon, Byung-Chan;Lee, Sang-Jeong
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.12 no.11
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    • pp.2005-2014
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    • 2008
  • In this paper, it is presented to utilize UPnP as RFID service discovery and control mechanism for context-aware services. Using UPnP, it is possible to achieve easy deployment of context-aware services and to provide zero-configuration for RFID services. In addition, SQL based cleaning module which raises detection rates is developed since context-aware applications heavily rely on streams of data gathered from RFID tags. Using the cleaning technique, detection rates are improved from 60-80% to 98% or more In order to verify RFID context aware service based on the UPnP, sample context-aware scenario for physical distribution services is implemented on UPnP over RFID system. The impacts of UPnP messages (or service advertisements on network congestion and SQL cleaning module are experimented and analyzed, and the result show the good correctness and validity of the proposed system.

Injectable hydrogels delivering therapeutic agents for disease treatment and tissue engineering

  • Lee, Jin Hyun
    • Biomaterials Research
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    • v.22 no.4
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    • pp.235-248
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    • 2018
  • Background: Injectable hydrogels have been extensively researched for the use as scaffolds or as carriers of therapeutic agents such as drugs, cells, proteins, and bioactive molecules in the treatment of diseases and cancers and the repair and regeneration of tissues. It is because they have the injectability with minimal invasiveness and usability for irregularly shaped sites, in addition to typical advantages of conventional hydrogels such as biocompatibility, permeability to oxygen and nutrient, properties similar to the characteristics of the native extracellular matrix, and porous structure allowing therapeutic agents to be loaded. Main body: In this article, recent studies of injectable hydrogel systems applicable for therapeutic agent delivery, disease/cancer therapy, and tissue engineering have reviewed in terms of the various factors physically and chemically contributing to sol-gel transition via which gels have been formed. The various factors are as follows: several different non-covalent interactions resulting in physical crosslinking (the electrostatic interactions (e.g., the ionic and hydrogen bonds), hydrophobic interactions, ${\pi}$-interactions, and van der Waals forces), in-situ chemical reactions inducing chemical crosslinking (the Diels Alder click reactions, Michael reactions, Schiff base reactions, or enzyme-or photo-mediated reactions), and external stimuli (temperatures, pHs, lights, electric/magnetic fields, ultrasounds, or biomolecular species (e.g., enzyme)). Finally, their applications with accompanying therapeutic agents and notable properties used were reviewed as well. Conclusion: Injectable hydrogels, of which network morphology and properties could be tuned, have shown to control the load and release of therapeutic agents, consequently producing significant therapeutic efficacy. Accordingly, they are believed to be successful and promising biomaterials as scaffolds and carriers of therapeutic agents for disease and cancer therapy and tissue engineering.

Obesity, Hypertension, and Type-2 Diabetes Mellitus: The Interrelationships and the Determinants among Adults in Gaza City, Palestine

  • Ellulu, Mohammed S.
    • Osong Public Health and Research Perspectives
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    • v.9 no.6
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    • pp.289-298
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    • 2018
  • Objectives: To describe the distribution of social factors, lifestyle habits and anthropometric measurements according to hypertension and Type-2 diabetes. Methods: A cross-sectional study was conducted in Gaza City, Palestine that included 379 patients (20-60 years) who had hypertension and/or diabetes. Three groups of patients were involved; 106 hypertensive (HT), 109 diabetic (T2DM) and 164 hypertensive diabetics (HT + T2DM). Results: The HT + T2DM group were older and had a higher body mass index compared to HT and T2DM groups. There were 62.3% patients who were female, 49.2% were highly educated HT patients, and 49.3% patients had a low level of education and were HT + T2DM. There were 55.8% patients who lived in large families. Patients who were passive smokers or never smoked before were mostly HT + T2DM, while active smokers and past smokers had T2DM. There were 48.2% patients who were highly physically active who had HT, 40.9% whom were moderately active had T2DM, and 53.8% of patients who had a low level of activity were HT + T2DM. Multivariate linear regression showed that having a diseased mother, living in a large family, being a past or passive smoker, or never having smoked, having a low or moderate level of activity, and having HT or HT + T2DM, were significantly associated with an increased body mass index. Conclusion: Parental health/disease conditions and environmental factors (social network and lifestyle habits) played the greatest role in the development of obesity and disease.

A Study on the Components and Competitiveness of the Teheran Valley as an Urban Innovation District (대도시 혁신지구로서 테헤란밸리의 구성요소와 경쟁력 연구)

  • Rhee, Hyosun
    • Journal of the Economic Geographical Society of Korea
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    • v.22 no.3
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    • pp.321-336
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    • 2019
  • The ICT industry has developed into an industry that generates national competitiveness. The policy to support the ICT industry, initiated by the government, has been activated mainly on the Teheran Road of Gangnam-gu in Seoul. In this regard, this study examined the emergence background and formation factors of the new innovation district in the urban area of the Teheran Valley. In addition, this study examined the characteristics of the innovation district in the integrated urban and industrial parks with various facilities and institutions supporting the startup. This study examined the status of the Teheran Valley as an urban innovation district by dividing the indicators of the urban innovation district in the Teheran Valley into economic assets, spatial and physical assets, network assets, and human capital. It also examined the ICT technology leading the innovation and analyzed the implications for regional economic development.

A review on deep learning-based structural health monitoring of civil infrastructures

  • Ye, X.W.;Jin, T.;Yun, C.B.
    • Smart Structures and Systems
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    • v.24 no.5
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    • pp.567-585
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    • 2019
  • In the past two decades, structural health monitoring (SHM) systems have been widely installed on various civil infrastructures for the tracking of the state of their structural health and the detection of structural damage or abnormality, through long-term monitoring of environmental conditions as well as structural loadings and responses. In an SHM system, there are plenty of sensors to acquire a huge number of monitoring data, which can factually reflect the in-service condition of the target structure. In order to bridge the gap between SHM and structural maintenance and management (SMM), it is necessary to employ advanced data processing methods to convert the original multi-source heterogeneous field monitoring data into different types of specific physical indicators in order to make effective decisions regarding inspection, maintenance and management. Conventional approaches to data analysis are confronted with challenges from environmental noise, the volume of measurement data, the complexity of computation, etc., and they severely constrain the pervasive application of SHM technology. In recent years, with the rapid progress of computing hardware and image acquisition equipment, the deep learning-based data processing approach offers a new channel for excavating the massive data from an SHM system, towards autonomous, accurate and robust processing of the monitoring data. Many researchers from the SHM community have made efforts to explore the applications of deep learning-based approaches for structural damage detection and structural condition assessment. This paper gives a review on the deep learning-based SHM of civil infrastructures with the main content, including a brief summary of the history of the development of deep learning, the applications of deep learning-based data processing approaches in the SHM of many kinds of civil infrastructures, and the key challenges and future trends of the strategy of deep learning-based SHM.

Design, calibration and application of wireless sensors for structural global and local monitoring of civil infrastructures

  • Yu, Yan;Ou, Jinping;Li, Hui
    • Smart Structures and Systems
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    • v.6 no.5_6
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    • pp.641-659
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    • 2010
  • Structural Health Monitoring (SHM) gradually becomes a technique for ensuring the health and safety of civil infrastructures and is also an important approach for the research of the damage accumulation and disaster evolving characteristics of civil infrastructures. It is attracting prodigious research interests and the active development interests of scientists and engineers because a great number of civil infrastructures are planned and built every year in mainland China. In a SHM system the sheer number of accompanying wires, fiber optic cables, and other physical transmission medium is usually prohibitive, particularly for such structures as offshore platforms and long-span structures. Fortunately, with recent advances in technologies in sensing, wireless communication, and micro electro mechanical systems (MEMS), wireless sensor technique has been developing rapidly and is being used gradually in the SHM of civil engineering structures. In this paper, some recent advances in the research, development, and implementation of wireless sensors for the SHM of civil infrastructures in mainland China, especially in Dalian University of Technology (DUT) and Harbin Institute of Technology (HIT), are introduced. Firstly, a kind of wireless digital acceleration sensors for structural global monitoring is designed and validated in an offshore structure model. Secondly, wireless inclination sensor systems based on Frequency-hopping techniques are developed and applied successfully to swing monitoring of large-scale hook structures. Thirdly, wireless acquisition systems integrating with different sensing materials, such as Polyvinylidene Fluoride(PVDF), strain gauge, piezoresistive stress/strain sensors fabricated by using the nickel powder-filled cement-based composite, are proposed for structural local monitoring, and validating the characteristics of the above materials. Finally, solutions to the key problem of finite energy for wireless sensors networks are discussed, with future works also being introduced, for example, the wireless sensor networks powered by corrosion signal for corrosion monitoring and rapid diagnosis for large structures.

Cross-layer Simulation and Analysis for Video Transmission Quality in MANET (MANET에서 비디오 전송 품질을 위한 Cross-layer 시뮬레이션과 분석)

  • Yoon, Hyoup-Sang
    • Journal of the Korea Society for Simulation
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    • v.24 no.3
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    • pp.61-68
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    • 2015
  • Mobile ad hoc networks (MANETs) are self-organized dynamic networks populated by mobile nodes. This paper presents the improved cross-layer approach to complement the recent works for video transmission services on MANET. We use a statistical design of experiment and analysis in order to investigate interactions between major factors of each layer effectively with minimizing ns-3 simulation run time. The proposed cross-layer approach considers MANET protocol layers (i.e., physical, network and transmission layers) and an application layer (i.e., a video encoder) as factors simultaneously. In addition, the approach defines an objective video quality metric as a response variable. The result of this paper can be applicable as a preliminary research to design an optimized video transmission application which has ability to adjust controllable factors to dynamic uncontrollable factors.

Cyber-Threat Detection of ICS Using Sysmon and ELK (Sysmon과 ELK를 이용한 산업제어시스템 사이버 위협 탐지)

  • Kim, Yongjun;Shon, Taeshik
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.29 no.2
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    • pp.331-346
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    • 2019
  • Global cyber threats to industrial control systems are increasing. As a result, related research and cooperation are actively underway. However, we are focusing on strengthening security for physical network separation and perimeter. Internal threats are still vulnerable. This is because the easiest and strongest countermeasure is to enhance border security, and solutions for enhancing internal security are not easy to apply due to system availability problems. In particular, there are many vulnerabilities due to the large number of legacy systems remaining throughout industrial control systems. Unless these vulnerable systems are newly built according to the security framework, it is necessary to respond to these vulnerable systems, and therefore, a security solution considering availability has been verified and suggested. Using Sysmon and ELK, security solutions can detect Cyber-threat that are difficult to detect in unstructured ICS.

A Specification and Exchange Method for Supporting SLA in SaaS Environment (SaaS 환경에서 SLA 보장을 위한 명세 및 교환 방법)

  • Nam, Taewoo;Kang, Taejun;Jang, Moonsoo;An, Youngmin;Yeom, Keunhyuk
    • Journal of Software Engineering Society
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    • v.26 no.2
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    • pp.45-52
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    • 2013
  • A cloud computing service provider must assure Service Level Agreement (SLA) to provide reliable and consistent quality of service to a user. The SLA is a contract between the user and the service provider that connects to assure constant level such as availability to target provided service. The cloud computing is classified into IaaS, PaaS, and SaaS according to IT resources of the various cloud service. The existing SLA is difficult to reflect quality factors of service because it only considers factors about the physical Network environment. In this paper, we suggest the UDDI-based interchange process with the architecture and the specification language having a XML schema for the SLA specification. The quality requirements of SaaS are defined by a proposed specification language in the cloud environment. It is stored in the repository of a quality specification and exchanged on during the service binding time based on the exchange architecture.

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The System for 3D Image Obtain and Provide corresponding to User's Viewpoint (사용자 시점에 대응 3차원 영상 획득 및 제공 시스템)

  • Lee, Seung-Jae;Jeon, Yeong-Mi;Kim, Nam-Woo;Jeong, Do-Un
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2016.10a
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    • pp.835-837
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    • 2016
  • In this research, Detect viewpoint of the user in other to obtain the coordinates and provided obtain a corresponding stereo images of different positions, Provide a system which can be observed remotely break the spatial limits. For system configuration Designed with a physical action such as left and right movement and rotation of the head is the largest factor in human viewpoint change. Therefore, this system is calculated to analyze user viewpoint, Control system for providing three-dimensional images obtained, It is implemented in network communication for data transmission, As the user observed the object in the same space even though free to observe a target at a remote location, Obtaining a stereo image that corresponds to the viewpoint providing a three-dimensional image, We implemented a system that provides the same visual effect and directly observed.

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