• Title/Summary/Keyword: Hot spot problem

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A Study on Hot Spot stress in welded joints of steel Tubular truss (강관 트러스 연결부 Hot Spot 응력에 관한 연구)

  • Jang, Woo-Sun;Chung, Jee-Seung;Ahn, Young-Soo;Yoon, Sik-Jae;Yang, Seong-Don;Park, Gyeong-Jun
    • Proceedings of the KSR Conference
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    • 2010.06a
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    • pp.1430-1436
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    • 2010
  • Tubular member is hollow and is an excellent source of structural member with great buckling resistance and tortional resistance. With its development and simplicity in structure, steel tubular truss has the ability to be structured in long span bridges, without a stiffener. Recently, it has been used in many countries in Europe, Canada, Japan, and the US with the help of international committees such as CIDECT(International Committee for the Development and Study of Tubular Structures and International Institute of Welding). The most important problem when using the tubular member is the fact that it is difficult to test the fatigue stress determined by nominal stress, since geometrical stress concentration occurs due to the welded joint's nod of complexity. The purpose of this study is to compare and examine current theories and widely applied Hot Spot stress determinations through finite element analysis, which is about welded joints of steel tubular truss. We would like to suggest a way of design practice which involves a bridge plan with rarely domestically used steel tubular truss` basic research data as well as considering the future of tubular member.

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A Self-Learning based Adaptive Clustering in a Wireless Internet Proxy Server Environment (무선 인터넷 프록시 서버 환경에서 자체 학습 기반의 적응적 클러스터렁)

  • Kwak Hu-Keun;Chung Kyu-Sik
    • Journal of KIISE:Computer Systems and Theory
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    • v.33 no.7
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    • pp.399-412
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    • 2006
  • A clustering based wireless internet proxy server with cooperative caching has a problem of minimizing overall performance because some servers become overloaded if client request pattern is Hot-Spot or uneven. We propose a self-learning based adaptive clustering scheme to solve the poor performance problems of the existing clustering in case of Hot-Spot or uneven client request pattern. In the proposed scheme, requests are dynamically redistributed to the other servers if some servers supposed to handle the requests become overloaded. This is done by a self-learning based method based dynamic weight adjustment algorithm so that it can be applied to a situation with even various request pattern or a cluster of hosts with different performance. We performed experiments in a clustering environment with 16 PCs and a load balancer. Experimental results show the 54.62% performance improvement of the proposed schemes compared to the existing schemes.

An Analysis on Characteristics of Spatial Distribution of the Atopic Dermatitis Patients : With an Application of the Moran Indices (아토피 피부염 환자 발병률의 지역적 특성 분석 - 모란지수 방법을 활용하여 -)

  • Lim, Dong Pyo;Jeong, Hwan Yeong
    • Journal of the Korean association of regional geographers
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    • v.21 no.3
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    • pp.583-592
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    • 2015
  • As the increase of an environmental disease has become a social problem after industrialization, academic interest in a spatial difference and characteristics of an environmental disease is on rise. The purpose of this study is to analyze the spatial distribution and characteristics of an environmental disease using the data provided by National Health Insurance Corporation in 2009. This research is focusing on atopic dermatitis among a variety of environmental diseases and shows the map that atopic dermatitis patients are distributed. Also, The Local Moran's I show how spatial autocorrelation of atopic dermatitis patients are distributed. First, the distribution of atopic dermatitis patients show the spatial difference. Second, 42 places including the western part of Incheon are hot spots of atopic dermatitis. Third, 39 places including Danyang are cold spot of atopic dermatitis. Forth, Jeju-si and Seogwipo-si are unusually hot spot of atopic dermatitis. These results have important implications that further research need to be done in public health geography.

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Probabilistic Filtering Method for Efficient Sensor Network Security (효율적인 센서 네트워크 보안을 위한 확률적인 필터링 기법)

  • Kim, Jin-Su;Shin, Seung-Soo
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.13 no.1
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    • pp.382-389
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    • 2012
  • The fabricated report attack will not only cause false alarms that waste real-world response efforts such as sending response teams to the event location, but also drains the finite amount of energy in a wireless sensor network. In this paper, we propose a probabilistic filtering method for sensor network security (PFSS) to deal with filtering for the fabricated report. On the basis of filtering scheme, PFSS combines cluster-based organization and probabilistic verification node assignment using distance of from cluster head to base station for energy efficiency and hot spot problem. Through both analysis and simulation, we demonstrate that PFSS could achieve efficient protection against fabricated report attack while maintaining a sufficiently high filtering power.

A Study on the Analysis of the Weak Areas of Taxi Service during Late Night Time (심야시간 대 택시 서비스 취약예상지역 분석 연구)

  • Song, Jaein;Kang, Min Hee;Cho, Yun Ji;Hwang, Kee yeon
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.19 no.6
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    • pp.163-179
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    • 2020
  • With the expansion of platform-based taxi service, mobility and convenience of users are getting better. However, due to profitability problem, marginalized areas in the supply of the service are expected to appear. As such, this study analyzed spatial marginalization of taxi service caused by imbalance in supply and demand during the night-time when public transportation service is suspended. According to hot-spot analysis of taxi, outskirt of a city and residential areas showed high vacancy and greater number of drop-offs compared to the number of pick-ups. On the contrary, they were confirmed low in the center and sub-centers of a city. Centrality analysis also showed a similar pattern with hot-spot analysis. Due to this, drivers may refuse to pick up a customer bound for an area with lower out-degree centrality compared to in-degree centrality as it might be difficult for the drivers to pick up another customer after dropping off the current customer. Thus, customers may need to wait for a taxi for a longer time. For this reason, improvement in spatial marginalization caused by mismatch of supply and demand is required. Also, the outcome of this study is expected to be utilized as a basic data.

The Thermal Analysis of Brake Disc using the Solid Model and 2D Coupled Model (솔리드모델과 2D 연성모델을 사용한 브레이크 디스크의 열해석)

  • 강상욱;김창진;이대희;김흥섭
    • Transactions of the Korean Society of Automotive Engineers
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    • v.11 no.6
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    • pp.93-100
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    • 2003
  • This paper describes the thermoelastic instability arising from friction heat generation in braking and proposes the finite element methods to predict the variation of temperature and thermal deformation. In a conventional disc brake analysis, heat generation is only related with wheel speed and friction material and the interface pressure between disc and pad is assumed constant. But under dynamic braking conditions, the frictional heat causes the thermoelastic distortion that leads to more concentrated contact pressure distribution and hence more and more non-uniform temperature. In this paper, to complete the solution of the thermomechanically coupled problem, the linear relation model between pressure and temperature is proposed and demonstrated in examples of a simple two dimensional contact problem. And the two dimensional model has been extended to an annular three dimensional disc model in order to consider more realistic geometry and to provide a more accurate critical speed for automotive brake systems.

Performance Evaluation for a Multistage Interconnection Network with Buffered $a{\times}a$ Switches under Hot-spot Environment (핫스팟을 발생시 출력 버퍼형 $a{\times}a$ 스위치로 구성된 다단 연결망의 성능분석)

  • Kim, Jung-Yoon;Shin, Tae-Zi;Yang, Myung-Kook
    • Journal of KIISE:Information Networking
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    • v.34 no.3
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    • pp.193-202
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    • 2007
  • In this paper, a performance evaluation model of the Multistage Interconnection Network(MIN) with the multiple-buffered crossbar switches under Hot-spot environment is proposed and examined. Buffered switch technique is well known to solve the data collision problem of the MIN. The proposed evaluation model is developed by investigating the transfer patterns of data packets in a switch. The performance of the multiple-buffered $a{\times}a$ crossbar switch is analyzed. Steady state probability concept is used to simplify the analyzing processes. Two important parameters of the network performance, throughput and delay, are then evaluated. To validate the proposed analysis model, the simulation is carried out on a Baseline network that uses the multiple buffered crossbar switches. Less than 2% differences between analysis and simulation results are observed. It is also shown that the network performance is significantly improved when the small number of buffer spaces is given. However, the throughput elevation is getting reduced and network delay becomes increasing as more buffer spaces are added in a switch.

A Study on the Exploratory Spatial Data Analysis of the Distribution of Longevity Population and the Scale Effect of the Modifiable Areal Unit Problem(MAUP) (장수 인구의 분포 패턴에 관한 탐색적 공간 데이터 분석과 수정 가능한 공간단위 문제(MAUP)의 Scale Effect에 관한 연구)

  • Choi, Don-Jeong;Suh, Yong-Cheol
    • Journal of the Korean Association of Geographic Information Studies
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    • v.16 no.3
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    • pp.40-53
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    • 2013
  • Most of the existing domestic studies to identify the distribution of longevity population and influencing factors oriented confirmatory approach. Furthermore, most of the studies in this research topic simply have used their own definition of spatial unit of analysis or employed arbitrary spatial units of analysis according to data availability. These research approaches can not sufficiently reflect the spatial characteristic of longevity phenomenon and exposed to the Modifiable Aerial Unit Problem(MAUP). This research performed the Exploratory Spatial Data Analysis(ESDA) to identify the spatial autocorrelation of the distribution of longevity population and investigated whether the modifiable areal unit problem in the aspect of scale effect using spatial population data in Korea. We used Si_Gun_Gu and Eup_Myeon_Dong as two different spatial units of regional longevity indicators measured. Then, we applied Getis-Ord Gi* to investigate the existence of spatial hot spots and cold spots. The results from our analysis show that there exist statistically significant spatial autocorrelation and spatial hot spots and cold spots of regional longevity at both Si_Gun_Gu and Eup_Myeon_Dong levels. This result implies that the modifiable areal unit problem does exist in the studies of spatial patterns of longevity population distribution. The demand for longevity researches would be increased inevitably. In addition, there were apparent differences for the global spatial autocorrelation and local spatial cluster which calculated different spatial units such as Si_Gun_Gu and Eup_Myeon_Dong and this can be seen as scale effect of MAUP. The findings from our analysis show that any study in this topic can mislead results when the modifiable areal unit problem and spatial autocorrelation are not explicitly considered.

A Learning Automata-based Algorithm for Area Coverage Problem in Directional Sensor Networks

  • Liu, Zhimin;Ouyang, Zhangdong
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.11 no.10
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    • pp.4804-4822
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    • 2017
  • Coverage problem is a research hot spot in directional sensor networks (DSNs). However, the major problem affecting the performance of the current coverage-enhancing strategies is that they just optimize the coverage of networks, but ignore the maximum number of sleep sensors to save more energy. Aiming to find an approximate optimal method that can cover maximum area with minimum number of active sensors, in this paper, a new scheduling algorithm based on learning automata is proposed to enhance area coverage, and shut off redundant sensors as many as possible. To evaluate the performance of the proposed algorithm, several experiments are conducted. Simulation results indicate that the proposed algorithm have effective performance in terms of coverage enhancement and sleeping sensors compared to the existing algorithms.

Unification of Community Policing (지역사회 경찰활동의 통합적 정립)

  • Park, Jae-Poong
    • The Journal of the Korea Contents Association
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    • v.11 no.12
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    • pp.284-293
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    • 2011
  • Today's policing is toward to the Community Policing. Despite its widespread popularity, there exists a lack of common understanding among academics and practitioners alike regarding the scope of the community policing philosophy and of its ability to integrate these complementary ideas within it. These are Problem-oriented policing, broken windows, Compstat, third-party policing, and hot spots. We will present a definition of community policing and demonstrate how these other policing approaches can be incorporated into the overarching community policing philosophy. We will also discuss the potential benefits of taking such a unified approach with the hope of encouraging further integration among policing innovations.