• Title/Summary/Keyword: hotspot

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An Effective Hotspot Cell Management Scheme Using Adaptive Handover Time in 4G Mobile Networks (4G 이동 망에서 적응적 핸드오버 시간을 활용한 효과적인 핫스팟 셀 관리 기법)

  • Kim Dong-Wook;Lee Han-Jin;Jeon Seung-Woo;Sawhney Mrinalini;Yoon Hyun-Soo
    • Proceedings of the Korean Information Science Society Conference
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    • 2006.06d
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    • pp.217-219
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    • 2006
  • 4G mobile networks are expected to support various multimedia services over IP networks and also satisfy high spectral efficiency requirement. In cellular systems including 4G networks, hotspot cells can occur when available wireless resources at some location are not enough to sustain the needs of users. The hotspot cell can potentially lead to blocked and dropped calls, which can deteriorate the service quality for users. In a 4G mobile network, a band of users enjoying multimedia services can move around, which may generate heavy flows of traffic load. This situation can generate the hotspot cell which has a short life span of only a few minutes. In this paper, we propose a handover-based scheme which can effectively manage hotspot cells in 4G mobile networks. With the scheme, the current serving cell can recognize the load status of the target cell in advance before handover execution. Adaptive handover time control according to the amount of traffic load of cells can effectively and flexibly manage the hotspot cell in the network. And, through our hotspot cell management scheme, acceptable service quality can be supported as users continuously maintain connections with the network. In the simulation results, we find that our scheme generates smaller number of hotspot cells and supports higher service quality than the compared schemes.

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A Resource Oriented Live migration Algorithm for Removing Hotspot in Virtualized Clusters (가상화 클러스터를 위한 Hotspot 원인 정보 기반Live migration Algorithm)

  • Kang, Mun-Young;Oh, Sang-Yoon
    • Proceedings of the Korean Information Science Society Conference
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    • 2011.06b
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    • pp.9-12
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    • 2011
  • 가상화 기술은 물리적 컴퓨팅 자원의 추상화를 통해 다수의 운영 체제나 응용 프로그램이 물리적 서버의 자원을 공유하게 함으로써 소요비용을 절감하고 자원을 통합 관리할 수 있는 기술이다. 그러나 가상화 기반 클러스터에서는 클러스터를 이루는 물리적 서버들이 균형적으로 자원을 활용하지 못하고 특정 서버로 자원 활용률이 집중되는 현상(hotspot)이 발생 할 수 있다. 이에 본 논문에서는 Live migration 기술을 이용하여 가상화 클러스터의 자원 효율을 높이는 알고리즘을 제안한다. 제안 알고리즘은 hotspot의 원인이 되는 자원의 우선순위를 기반으로 가장 적합한 대상을 선정하여 가상머신을 이동시켜 클러스터의 자원 활용률의 균형을 도모하고 추가적인 hotspot의 발생을 최소화고 불필요한 Live migration을 방지하여 migration시에 발생하는 로드를 줄일 수 있다.

CNN Based Lithography Hotspot Detection

  • Shin, Moojoon;Lee, Jee-Hyong
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • v.16 no.3
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    • pp.208-215
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    • 2016
  • The lithography hotspot detection process is crucial for semiconductor design development process. But, the lithography hotspot detection using optical simulation method takes much time and it slowdown the layout design development cycle. Though the geometry based approach is introduced as an alternative, it still revealed low detection performance and sophisticated framework. To solve this problem, we introduce a deep convolutional neural network based hotspot detection method. Our method made better results in ICCCAD 2012 dataset. To reach this score, we used lots of technical effort to improve the result in addition to just utilizing the nature of convolutional neural network. Inspection region reduction, data augmentation, DBSCAN clustering helped our work more stable and faster.

A Study on the Relationship between the Spatial Cluster Patterns of Male Suicide Rate and the Regional Characteristics in South Korea (남성 자살률의 공간 군집패턴 변화와 지역특성요인의 관계 분석)

  • Choi, Soyoung;Lee, Kwang-Soo
    • Health Policy and Management
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    • v.29 no.3
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    • pp.312-322
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    • 2019
  • Background: Since 2003, Korea has consistently shown the highest suicide rate among the Organization for Economic Cooperation and Development countries, and suicide remains the major cause of death. In particular, men are 2-3 times more likely to commit suicide than women, which called the 'gender paradox of suicide.' The areas with frequent suicide have spatially clustered patterns because suicide with a social contagion spreads around the neighborhood. The purpose of this study was twofold. The first was to estimate the hotspot areas of age-standardized male suicide mortality from 2008 to 2015. The second was to analyze the relationship between the hotspot areas and the regional characteristics for study years. Methods: The data was collected through the Korean Statistical Information Service. The study areas were 227 si gun gu administrative districts in Korea. The hotspot area was used as a dependent variable. Socio-demographic variables (number of marriages per 1,000 population, number of divorces per 1,000 population, and urbanization rate), financial variables (financial independence and social security budget), and health behaviors (EuroQol-5 dimension [EQ-5D], and depression experience rate) were used as independents variables. Results: The hotspot areas were commonly located in Gangwon-do, Chungcheongnam-do, Gyeongsangbuk-do, and Chungceongbuk-do. According to the results of panel logit regression, the number of divorces per 1,000 population, social security budget, and EQ-5D were statistically significant variables. Conclusion: The results of hotspot analysis showed the need for establishing a prevention zone of suicide using hotspot areas. Also, medical resources could be considered to be preferentially placed in the prevention zone of suicide. This study could be used as basic data for health policymakers to establish a suicide-related policy.

Distributed Processing Method of Hotspot Spatial Analysis Based on Hadoop and Spark (하둡 및 Spark 기반 공간 통계 핫스팟 분석의 분산처리 방안 연구)

  • Kim, Changsoo;Lee, Joosub;Hwang, KyuMoon;Sung, Hyojin
    • Journal of KIISE
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    • v.45 no.2
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    • pp.99-105
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    • 2018
  • One of the spatial statistical analysis, hotspot analysis is one of easy method of see spatial patterns. It is based on the concept that "Adjacent ones are more relevant than those that are far away". However, in hotspot analysis is spatial adjacency must be considered, Therefore, distributed processing is not easy. In this paper, we proposed a distributed algorithm design for hotspot spatial analysis. Its performance was compared to standalone system and Hadoop, Spark based processing. As a result, it is compare to standalone system, Performance improvement rate of Hadoop at 625.89% and Spark at 870.14%. Furthermore, performance improvement rate is high at Spark processing than Hadoop at as more large data set.

Mutation Hotspots in the β-Catenin Gene: Lessons from the Human Cancer Genome Databases

  • Kim, Sewoon;Jeong, Sunjoo
    • Molecules and Cells
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    • v.42 no.1
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    • pp.8-16
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    • 2019
  • Mutations in the ${\beta}-catenin$ gene (CTNNB1) have been implicated in the pathogenesis of some cancers. The recent development of cancer genome databases has facilitated comprehensive and focused analyses on the mutation status of cancer-related genes. We have used these databases to analyze the CTNNB1 mutations assembled from different tumor types. High incidences of CTNNB1 mutations were detected in endometrial, liver, and colorectal cancers. This finding agrees with the oncogenic role of aberrantly activated ${\beta}-catenin$ in epithelial cells. Elevated frequencies of missense mutations were found in the exon 3 of CTNNB1, which is responsible for encoding the regulatory amino acids at the N-terminal region of the protein. In the case of metastatic colorectal cancers, in-frame deletions were revealed in the region spanning exon 3. Thus, exon 3 of CTNNB1 can be considered to be a mutation hotspot in these cancers. Since the N-terminal region of the ${\beta}-catenin$ protein forms a flexible structure, many questions arise regarding the structural and functional impacts of hotspot mutations. Clinical identification of hotspot mutations could provide the mechanistic basis for an oncogenic role of mutant ${\beta}-catenin$ proteins in cancer cells. Furthermore, a systematic understanding of tumor-driving hotspot mutations could open new avenues for precision oncology.

Factors Influencing Roadkill Hotspot in the Republic of Korea

  • Kim, Kyungmin;Yi, Yoonjung;Woo, Donggul;Park, Taejin;Song, Euigeun
    • Proceedings of the National Institute of Ecology of the Republic of Korea
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    • v.2 no.4
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    • pp.274-278
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    • 2021
  • Road structures play an important role in collisions involving vehicles and wildlife. Our study aimed to determine the effect of various types of road structures on the risk associated with roadkill. We surveyed 50 previously identified roadkill hotspots, ranked from one to five according to roadkill density. We collected nine types of road structure data on each hotspot road section. Structures with similar characteristics were grouped together, resulting in five categories, namely, median barrier, high edge barrier, low edge barrier, speed, and visibility. We examined the existence of each road structure category at each hotspot rank. The cumulative link model showed that the absence of bottom blocked median barrier increased the roadkill hotspot rank. Our study concluded that a visual obstacle in the middle of roads by the median barrier decreases wildlife road crossing attempts and roadkill risk. We suggest that future roadkill mitigation plans should be established considering these characteristics.

The Effectiveness Evaluation of Reconstruction Method Using DFOV Position Changes for Reduction of Artifact Around Hotspot in PET/CT Images (PET/CT 검사에서 열소 주변 인공물 감소를 위한 DFOV 위치 변화 재구성 방법의 유용성 평가)

  • Han, Dong Chan;Hong, Gun Chul;Choi, Choon ki;Lee, Hyeok;Choi, Seong Wook
    • The Korean Journal of Nuclear Medicine Technology
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    • v.17 no.2
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    • pp.90-94
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    • 2013
  • Purpose: In the PET/CT images, various artifacts cause degradation of the quantitative assessment. Most hotspot generated by radiopharmaceutical injection errors cause an artifact and degrade the quality of the images as well as the accuracy of the quantitative evaluation. The purpose of this study is to assess effectiveness of the elimination of the hotspot at the injection sites using shifting the center of DFOV (Display Field of View, DFOV) method and evaluate the quantitative evaluation of result. Materials and Methods: GE Discovery STE 16 (GE Healthcare, Milwaukee, USA) and 1994 NEMA phantom were used for imaging acquisition. Phantom was filled with 0.005 MBq/mL of $^{18}F-FDG$. A hotspot was artificially placed on the outside of the phantom. The ratio of hotspot area activity to background area activity was regulated as 200:1. After image acquisition with routine protocol, all of the images were reconstructed using the shifting the center of DFOV method that wasn't overlapped with hotspot. Those images obtained before and after applying the shifting reconstruction method were compared. ROIs (Region Of Interests) were set in the hotspot areas, meanSUVs and standard deviations were calculated. Percentage differences were calculated with those meanSUVs and standard deviations. The evaluation on the effects of the shifting reconstruction method was done by comparison of the meanSUVs and the standard deviations, which were calculated for background areas unaffected by hotspot. Results: In the areas of unaffected by hotspot, meanSUVs before and after applying the shifting of center of DFOV method were $0.67{\pm}0.06g/mL$ and $0.65{\pm}0.06g/mL$, respectively. In the artifact areas affected by hotspot, meanSUVs before and after applying the shifting of center of DFOV method were $0.32{\pm}0.08g/mL$ and $0.56{\pm}0.12g/mL$, respectively. The percentage differences of the area adjacent to the hotspot and the area distant from the hotspot were 65.3% and 97.4%, respectively. Conclusion: In the PET/CT images, meanSUV was improved by 32.1% when the effect of artifact was removed with application of the shifting the center of DFOV methode. In other areas unaffected by artifacts, meanSUVs were not significantly different after applying DFOV center shift method. As shown in the result, adverse effects of hotspot made by swelling in the injection site can be reduced by applying DFOV center shift method. Therefore, DFOV center shift method can be applied for the more precise quantitative evaluation, and contribute to the increase of the diagnostic value of the images.

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Management Strategy of Hotspot Temporal Data using Minimum Overlap (최소 중복을 이용한 Hotspot 시간 데이터의 관리)

  • Kang, Ji-Hyung;Yun, Hong-Won
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • v.9 no.1
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    • pp.196-199
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    • 2005
  • We propose a strategy to manage temporal data which are occurred on scientific applications. Firstly, We define LB and RB to separate temporal data, and entity versions to be stored in past, current, future segments. Also, We describe an algorithm to migrate temporal data with hotspot distribution among segments. The performance evaluation of average response time and space utilization is conducted. Average response time between two methods is similar, and spare is saved in proposed method.

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Resource Allocation in Two Hop Relay Network based on PB/MC-CDMA System (PB/MC-CDMA 기반 two-hop 중계 망에서의 자원 할당 방식)

  • Sun, Yan;Lee, Kye-San
    • Journal of Satellite, Information and Communications
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    • v.5 no.1
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    • pp.94-99
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    • 2010
  • In this paper, we discuss a proposed two hop relay network with PB/MC-CDMA(partial block MC-CDMA) technique. The main advantages of PB/MC-CDMA system are the increased cell capacity and the high quality of performances. In the system, we employ relay scheme to focus on the coverage reduction and hotspot problem, hotspot is a location where a cluster of users are blocked or dropped for the reason of insufficient frequency resources. Frequency resource allocation scheme is put forward in a three cells system according to each problem. The simulation result shows the performance of the two hop transmission is better than the direct transmission and the proposed network can support much more users to relief hotspot effect compared to the conventional one.