• Title/Summary/Keyword: Node Monitoring

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A localization method for mobile node in sensor network (센서 네트워크에서 이동 가능한 노드에 대한 위치 인식 방법)

  • Kwak, Chil-Seong;Jung, Chang-Woo;Kim, Jin-Hyun;Kim, Ki-Moon
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.12 no.2
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    • pp.385-390
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    • 2008
  • The Study of environment monitoring through huge network of wireless sensor node is worked with activity. The sensor nodes must be very small, light and low cost. The localization which may determine where a given node is physically located in a network is one of the quite important problems for wireless sensor network. But simple localization method is required as excluding the usage of GPS(Global Positioning System) by the limit condition such as the node size, costs, and so on. In this paper, very simple method using connectivity for the outdoor RF communication environment is proposed. The proposed method is demonstrated through simulation.

Study on Internet of Things Based Low-Power Wireless Sensor Network System for Wild Vegetation Communities Ecological Monitoring (야생식생군락 생태계 모니터링을 위한 사물인터넷 기반의 저전력 무선 센서네트워크 시스템에 관한 연구)

  • Kim, Nae-Soo;Lee, Kyeseon;Ryu, Jaehong
    • Journal of Information Technology Services
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    • v.14 no.1
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    • pp.159-173
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    • 2015
  • This paper presents a study on the Internet of Things based low-power wireless sensor networks for remote monitoring of wildlife ecosystem due to climate change. Especially, it is targeting the wild vegetation communities ecological monitoring. First, we performed a pre-test and analysis for selecting the appropriate frequency for the sensor network to collect and deliver information reliably in harsh propagation environment of the forest area, and selected for sensors for monitoring wild vegetation communities on the basis of considerations for selecting the best sensor. In addition, we have presented the platform concept and hierarchical function structures for effectively monitoring, analyzing and predicting of ecosystem changes, to apply the Internet of Things in the ecological monitoring area. Based on this, this paper presents the system architecture and design of the Internet of Things based low-power wireless sensor networks for monitoring the ecosystem of the wild vegetation communities. Finally, we constructed and operated the test-bed applied to real wild trees, using the developed prototype based on the design.

Speed Optimized Implementation of HUMMINGBIRD Cryptography for Sensor Network

  • Seo, Hwa-Jeong;Kim, Ho-Won
    • Journal of information and communication convergence engineering
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    • v.9 no.6
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    • pp.683-688
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    • 2011
  • The wireless sensor network (WSN) is well known for an enabling technology for the ubiquitous environment such as real-time surveillance system, habitat monitoring, home automation and healthcare applications. However, the WSN featuring wireless communication through air, a resource constraints device and irregular network topology, is threatened by malicious nodes such as eavesdropping, forgery, illegal modification or denial of services. For this reason, security in the WSN is key factor for utilizing the sensor network into the commercial way. There is a series of symmetric cryptography proposed by laboratory or industry for a long time. Among of them, recently proposed HUMMINGBIRD algorithm, motivated by the design of the well-known Enigma machine, is much more suitable to resource constrained devices, including smart card, sensor node and RFID tags in terms of computational complexity and block size. It also provides resistance to the most common attacks such as linear and differential cryptanalysis. In this paper, we implements ultra-lightweight cryptography, HUMMINGBIRD algorithm into the resource constrained device, sensor node as a perfectly customized design of sensor node.

Splitting Decision Tree Nodes with Multiple Target Variables (의사결정나무에서 다중 목표변수를 고려한)

  • 김성준
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 2003.05a
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    • pp.243-246
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    • 2003
  • Data mining is a process of discovering useful patterns for decision making from an amount of data. It has recently received much attention in a wide range of business and engineering fields Classifying a group into subgroups is one of the most important subjects in data mining Tree-based methods, known as decision trees, provide an efficient way to finding classification models. The primary concern in tree learning is to minimize a node impurity, which is evaluated using a target variable in the data set. However, there are situations where multiple target variables should be taken into account, for example, such as manufacturing process monitoring, marketing science, and clinical and health analysis. The purpose of this article is to present several methods for measuring the node impurity, which are applicable to data sets with multiple target variables. For illustrations, numerical examples are given with discussion.

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Case Report of Prostate Cancer Patient with Only Lymph Node Involvement on F-18 FDG PET/CT

  • Jung, Hyun Jin;Kang, Sungmin
    • Kosin Medical Journal
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    • v.33 no.3
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    • pp.391-395
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    • 2018
  • We report a case of a patient with locally advanced prostate cancer who had only lymph node involvement without bone metastasis on F-18 FDG PET/CT. A 62-year-old Korean male was admitted to our hospital due to dysuria. His PSA level on admission was 79.35 ng/mL. A transrectal ultrasound-guided prostate biopsy confirmed prostate cancer and his Gleason score was 10 (5+5). F-18 FDG PET/CT demonstrated a hypermetabolic mass lesion with SUVmax 7.0 in the prostate and hypermetabolism with SUVmax 4.7 of the abdominal and pelvic lymph nodes. Tc-99m HDP bone scan showed no significant bone metastasis. The patient underwent hormonal therapy for 9 months. Follow-up F-18 FDG PET/CT showed significantly reduced size and FDG uptake in the prostate and abdominal and pelvic lymph nodes. In this case, treatment monitoring with F-18 FDG PET/CT showed decreased mass size and FDG uptake in the prostate and abdominal and pelvic lymph nodes.

Method of Detecting the Sybil Attack Based on RSSI on 3-Dimensional (RSSI를 이용한 3차원상에서의 Sybil Attack 탐지기법)

  • Seo, Hwa-Jeong;Kim, Ho-won
    • Proceedings of the Korea Information Processing Society Conference
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    • 2010.11a
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    • pp.1098-1100
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    • 2010
  • WSN(Wireless Sensor Networks)는 Ubiquitous환경을 실현하기 위한 기술로써 현재 그에 대한 연구가 활발히 진행되고 있다. 하지만 지금까지의 연구는 서비스제공에 치중되어 보안에 대한 고려는 많이 이루어 지지 않았다. 또한 자원이 한정적인 센서의 특징상 현재까지 알려진 다양한 보안기법을 그대로 센서에 적용하는 것은 불가능하며 Monitoring하고자 하는 장소에 센서를 설치함으써 공격자에게 센서가 쉽게 노출되는 취약점이 있다. 센서에 대한 공격기법 중 Sybil Attack은 하나의 Node가 두 개 이상의 Node로 가장하여 WSN상에 통신되는 정보에 대한 신뢰도를 낮추며 통신이 불가능하도록 하는 기술이다. 이를 방지하기 위해 다양한 기법들이 제시되었고 그에 대한 신뢰도도 증명하였다. 하지만 2차원 상에 한정적인 탐지기법을 제공하여 실용적인 적용이 불가능하다. 현실적인 적용을 위해 본 논문에서는 3차원 상에서 Sybil node 탐지기법을 제시한다.

The thermal effect on electrical capacitance sensor for two-phase flow monitoring

  • Altabey, Wael A.
    • Structural Monitoring and Maintenance
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    • v.3 no.4
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    • pp.335-347
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    • 2016
  • One of major errors in flow rate measurement for two-phase flow using an Electrical Capacitance Sensor (ECS) concerns sensor sensitivity under temperature raise. The thermal effect on electrical capacitance sensor (ECS) system for air-water two-phase flow monitoring include sensor sensitivity, capacitance measurements, capacitance change and node potential distribution is reported in this paper. The rules of 12-electrode sensor parameters such as capacitance, capacitance change, and change rate of capacitance and sensitivity map the basis of Air-water two-phase flow permittivity distribution and temperature raise are discussed by ANSYS and MATLAB, which are combined to simulate sensor characteristic. The cross-sectional void fraction as a function of temperature is determined from the scripting capabilities in ANSYS simulation. The results show that the temperature raise had a detrimental effect on the electrodes sensitivity and sensitive domain of electrodes. The FE results are in excellent agreement with an experimental result available in the literature, thus validating the accuracy and reliability of the proposed flow rate measurement system.

A Wireless Sensor Network for Artificial Structure Monitoring (인공 구조물 모니터링을 위한 무선 센서 네트워크)

  • Moon, Jung-Ho;Jung, Ui-Min;Park, Lae-Jeong;Chung, Tae-Yun
    • IEMEK Journal of Embedded Systems and Applications
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    • v.7 no.6
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    • pp.331-338
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    • 2012
  • This paper presents a wireless sensor network protocol aimed for artificial structure monitoring. The proposed protocol enables the sensor network to operate at a low duty cycle for reducing power consumption with a high degree of synchronization accuracy. It also enables event-triggered measurement of environmental information with a high sampling rate and the transmission of the measured data with a low latency. The feasibility of the proposed protocol is demonstrated through experiments involving three sensor nodes and a sink node. Though a tunnel health monitoring was considered in the paper, the proposed protocol can be easily adopted in other areas.

Development of the wearable ECG measurement system for health monitoring during daily life (일상생활 중 건강모니터링을 위한 착용형 심전도계측 시스템 개발)

  • Noh, Yun-Hong;Jeong, Do-Un
    • Journal of Sensor Science and Technology
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    • v.19 no.1
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    • pp.43-51
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    • 2010
  • In this study, wearable ECG measurement system was implemented for health monitoring during daily life. A wearable belt-type ECG electrode worn around the chest by measuring the real-time ECG is produced in order to minimize the inconvenience in wearing. The measured ECG signal is transmitted via an ultra low power consumption wireless data communications unit to personal computer using Zigbee-compatible wireless sensor node. The ECG monitoring program is developed at end user which is personal computer. The measured ECG contains many noises mainly due to motion artifacts. For ECG signal processing, adaptive filtering process is proposed which can reduce motion artifacts efficiently and accurately than digital filter. The experimental results show that a reliable performance with high quality ECG signal can be achieved using this wearable ECG monitoring system.

Internet Virtual Reality-based Remote Control and Monitoring System and Implementation of Integrated Development Environment (인터넷 가상 현실 기반 원격 제어 및 감시 시스템과 통합 개발 환경의 구현)

  • Im, Hyeon-U;Kim, Yeong-Mo
    • The Transactions of the Korea Information Processing Society
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    • v.6 no.11S
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    • pp.3243-3250
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    • 1999
  • There are many problems to be satisfied the various commercial demand in the present VRML node, and the VRML-based system by the contact with other technology is burdened with the direct participation of developer related with it. In this study, remote control and monitoring system using EAI(External Authoring Interface) is reposed to overcome the limit of VRML. In other words, This study is about mechanism of interaction between control and monitoring subject in real world and object in virtual world mapped with it. Object oriented method by one to one mapping of the Java class which have VRML virtual world and the object control is proposed. Introduction method of video monitoring through method of image synthesis and the integrated development environment is described. Finally automobile-gate control system based on the development method of Internet virtual reality-based system which is proposed in this study is described.

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