• Title/Summary/Keyword: Adaptive Clustering

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A Life time improvement Method of SVM application LEACH protocol in Wireless Sensor Networks (SVM을 적용한 LEACH 프로토콜 기반 무선센서네트워크의 수명 개선 방법)

  • Pyo, Se Jun;Jo, Yong-Ok;Ok, Tae-Seong;Bang, Jong-Dae;Keshav, Tushar;Lee, Seong-Ho;Ryu, Hui-Eun;Lee, Yeonwoo;Bae, Jinsoo;Lee, Seong-Ro
    • Proceedings of the Korea Information Processing Society Conference
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    • 2011.11a
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    • pp.606-608
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    • 2011
  • 무선 센서 네트워크는 특정지역에 센서 노드를 설치하여 주변 정보 또는 특정 목적의 데이터를 수집하고, 그 정보를 수집하는 싱크(Sink)로 구성되어 있다. 무선 센서 네트워크의 수명은 망을 구성하는 센서 노드의 베터리 소비에 따라 수명이 결정 되고 하나의 노드가 죽기 시작하면서부터 급격하게 센서 노드의 베터리 소비가 커져 빠르게 죽는다. 무선 센서 네트워크를 구성하는 센서노드는 라우팅, 센싱을 수행하기 때문에 베터리 소비에 많은 부담을 가지고 있다. 본 논문은 무선 센서 네트워크의 대표적 클러스터링 기반 라우팅 기법인 LEACH(Low - Energy Adaptive Clustering Hierarchy)프로토콜에 SVM(Support Vector Machine)을 적용하여 센서노드의 균형적인 베터리 소비로 망을 효율적으로 관리하고 망의 수명을 개선 할 수 있는 방법을 제안 한다. 이러한 센서 노드의 균형적인 베터리 소비로 무선센서 네트워크의 수명을 개선 한다. 실험결과 기존의 LEACH 프로토콜보다 우수한 성능을 보인다.

A New Routing Algorithm for Performance improvement of Wireless Sensor Networks (무선 센서 네트워크의 성능 향상을 위한 새로운 라우팅 알고리즘)

  • Yang, Hyun-Suk;Kim, Do-Hyung;Park, Joon-Yeol;Lee, Tae-Bong
    • Journal of the Institute of Electronics Engineers of Korea CI
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    • v.49 no.1
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    • pp.39-45
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    • 2012
  • In this paper, a distributed 2-hop routing algorithm is proposed. The main purpose of the proposed algorithm is to reduce the overall power consumption of each sensor node so that the lifetime of WSN(wireless sensor network) is prolonged. At the beginning of each round, the base station transmits a synchronization signal that contains information on the priority table that is used to decide whether each sensor node is elected as a cluster head or not. The priority table is constructed so that sensor nodes closer to half energy distance from the base station get the higher priority. 2-hop routing is done as follows. Cluster heads inside half energy distance from the base station communicate with the base station directly. Those outside half energy distance have to decide whether they choose 2-hop routing or 1-hop routing. To do this, each cluster head outside half energy distance calculates the energy consumption needed to communicate with the base station via 1-level cluster head or directly. If less energy is needed when passing through the 1-level cluster head, 2-hop routing is chosen and if not, 1-hop routing is chosen. After routing is done each sensor nodes start sensing data.

A Study on Chaff Echo Detection using AdaBoost Algorithm and Radar Data (AdaBoost 알고리즘과 레이더 데이터를 이용한 채프에코 식별에 관한 연구)

  • Lee, Hansoo;Kim, Jonggeun;Yu, Jungwon;Jeong, Yeongsang;Kim, Sungshin
    • Journal of the Korean Institute of Intelligent Systems
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    • v.23 no.6
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    • pp.545-550
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    • 2013
  • In pattern recognition field, data classification is an essential process for extracting meaningful information from data. Adaptive boosting algorithm, known as AdaBoost algorithm, is a kind of improved boosting algorithm for applying to real data analysis. It consists of weak classifiers, such as random guessing or random forest, which performance is slightly more than 50% and weights for combining the classifiers. And a strong classifier is created with the weak classifiers and the weights. In this paper, a research is performed using AdaBoost algorithm for detecting chaff echo which has similar characteristics to precipitation echo and interrupts weather forecasting. The entire process for implementing chaff echo classifier starts spatial and temporal clustering based on similarity with weather radar data. With them, learning data set is prepared that separated chaff echo and non-chaff echo, and the AdaBoost classifier is generated as a result. For verifying the classifier, actual chaff echo appearance case is applied, and it is confirmed that the classifier can distinguish chaff echo efficiently.

Video Retrieval System supporting Adaptive Streaming Service (적응형 스트리밍 서비스를 지원하는 비디오 검색 시스템)

  • 이윤채;전형수;장옥배
    • Journal of KIISE:Computing Practices and Letters
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    • v.9 no.1
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    • pp.1-12
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    • 2003
  • Recently, many researches into distributed processing on Internet, and multimedia data processing have been performed. Rapid and convenient multimedia services supplied with high quality and high speed are to be needed. In this paper, we design and implement clip-based video retrieval system on the Web enviroment in real-time. Our system consists of the content-based indexing system supporting convenient services for video content providers, and the Web-based retrieval system in order to make it easy and various information retrieval for users in the Web. Three important methods are used in the content-based indexing system, key frame extracting method by dividing video data, clip file creation method by clustering related information, and video database construction method by using clip unit. In Web-based retrieval system, retrieval method ny using a key word, two dimension browsing method of key frame, and real-time display method of the clip are used. In this paper, we design and implement the system that supports real-time display method of the clip are used. In this paper, we design and implement the system that supports real-time retrieval for video clips on Web environment and provides the multimedia service in stability. The proposed methods show a usefulness of video content providing, and provide an easy method for serching intented video content.

Environmental monitoring system research based on low-power sensor network (저전력 센서네트워크 기반 환경모니터링 시스템 연구)

  • Kim, Ki-Tae;Kim, Dong-Il
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2011.10a
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    • pp.807-810
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    • 2011
  • The sensor network technology for core technology of ubiquitous computing is in the spotlight recently, the research on sensor network is proceeding actively which is composed many different sensor node. USN(Ubiquitous Sensor Network) is the network that widely applies for life of human being. It works out to sense, storage, process, deliver every kind of appliances and environmental information from the stucktags and sensors. And it is possible to utilize to measure and monitor about the place of environmental pollution which is difficult for human to install. It's studied constantly since it be able to compose easily more subminiature, low-power, low-cost than previous one. And also it spotlights an important field of study, graft the green IT and IT of which the environment and IT unite stragically onto the Network. The problem for the air pollution in the office or the indoor except a specific working area is the continuously issue since the human beings have lived in the dwelling facilities. Measures for that problem are urgently needed. It's possible to solve for the freshair of outside with enough ventilation but that is the awkward situation to be managed by person. This study is the system engineering to management for indoor air condition under the sensor network. And research for efficiently manage an option.

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A Study of the Characteristic of Korean Grit: Examining Multidimensional Clustering of Grit (한국형 그릿(Grit) 특성에 대한 고찰: 높은 그릿집단의 다차원적 유형 연구)

  • Jungeu Kim;Suran Lee;Sujin Yang
    • Korean Journal of Culture and Social Issue
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    • v.24 no.2
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    • pp.131-151
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    • 2018
  • The purpose of this research was to examine the characteristics of typical Korean grit as opposed to Western conceptualizations. We conducted cluster analysis to identify subgroups based on three related but distinct constructs-passion(harmonious vs. obsessive) and meaning in life. Basic needs satisfaction, life satisfaction, and ego-resilience were further assessed to explore potential group-specific differences in psychological attributes. Highly gritty individuals(n=139; M=22.51 yrs) were selected by using the median. According to our results, gritty individuals were subdivided into 3 groups: the initiative who possesses highly adaptive harmonious passion and meaning in life(35.8%), the obsessive who are high in maladaptive obsessive passion(26.1%), and the passive who are the lowest in all(38.1%). The initiative grit scored the highest in all three attributes while the two other subgroups showed culturally unique patterns. Our results suggest that culture specific factors may mold differently the unfolding and psychological outcomes of grit in Korea.

The Algorithm for an Energy-efficient Particle Sensor Applied LEACH Routing Protocol in Wireless Sensor Networks (무선센서네트워크에서 LEACH 라우팅 프로토콜을 적용한 파티클 센서의 에너지 효율적인 알고리즘)

  • Hong, Sung-Hwa;Kim, Hoon-Ki
    • Journal of the Korea Society for Simulation
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    • v.18 no.3
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    • pp.13-21
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    • 2009
  • The sensor nodes that form a wireless sensor network must perform both routing and sensing roles, since each sensor node always has a regular energy drain. The majority of sensors being used in wireless sensor networks are either unmanned or operated in environments that make them difficult for humans to approach. Furthermore, since many wireless sensor networks contain large numbers of sensors, thus requiring the sensor nodes to be small in size and cheap in price, the amount of power that can be supplied to the nodes and their data processing capacity are both limited. In this paper, we proposes the WSN(Wireless Sensor Network) algorithm which is applied sensor node that has low power consumption and efficiency measurement. Moreover, the efficiency routing protocol is proposed in this paper. The proposed algorithm reduces power consumption of sensor node data communication. It has not researched in LEACH(Low-Energy Adaptive Clustering Hierarchy) routing protocol. As controlling the active/sleep mode based on the measured data by sensor node, the energy consumption is able to be managed. In the event, the data is transferred to the local cluster head already set. The other side, this algorithm send the data as dependent on the information such as initial and present energy, and the number of rounds that are transformed into cluster header and then transferred. In this situation, the assignment of each node to cluster head evenly is very important. We selected cluster head efficiently and uniformly distributed the energy to each cluster node through the proposed algorithm. Consequently, this caused the extension of the WSN life time.