• 제목/요약/키워드: Hotspot

검색결과 261건 처리시간 0.03초

계층적 군집분석 기반의 Continuous Risk Profile을 이용한 고속도로 사고취약구간 선정 (Identifying Hotspots on Freeways Using the Continuous Risk Profile With Hierarchical Clustering Analysis)

  • 이서영;김철순;김동규;이청원
    • 대한교통학회지
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    • 제31권4호
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    • pp.85-94
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    • 2013
  • Continuous Risk Profile(CRP)은 고속도로의 사고취약구간을 선정하는 방법론 중에서 정확성과 효율성이 뛰어난 것으로 알려져 있다. 그러나 전통적인 CRP는 데이터베이스 구축을 위한 대규모 투자를 필요로 하는 안전성능함수를 이용한다. 본 연구는 안전성능함수 대신 동질 그룹들의 평균사고건수를 규모조정계수로 이용하는 CRP를 제안하는 것을 목적으로 한다. 고속도로 구간들을 동질 그룹으로 분류하기 위하여 각 구간의 AADT와 차로 수 자료를 기반으로 하는 계층적 군집분석이 수행된다. 제안된 모형은 캘리포니아의 I-880 자료를 이용하여 다른 여러 가지 사고취약구간 선정방법들과 비교된다. 분석 결과에 따르면, 제안된 모형은 false negative를 발생시키지 않으며 false positive rate를 감소시킨다. 본 연구에서 개발된 방법론은 추가적인 복잡한 데이터베이스 없이 고속도로 사고취약구간을 선정하는 데에 활용될 수 있으며, 또한 고속도로 안전관리시스템을 개선하는 데에 기여할 수 있다.

강원도 화재의 공간적 군집 특성 분석 (Spatial Clustering Analysis of Fire in Gangwon-Do)

  • 배선학
    • 한국지리정보학회지
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    • 제21권3호
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    • pp.93-103
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    • 2018
  • 본 연구의 목적은 장기적인 화재 발생 데이터를 이용하여 연구지역에서의 화재 발생에 대한 공간적인 군집 특성을 분석하는 것이다. 이를 위해 강원도 읍 면 동 단위에서 지난 40년 동안 발생한 화재 자료를 GIS 데이터로 변환하여 공간 분석을 수행하였다. 화재의 공간적인 군집 특성 파악에는 국지적 공간 연관성을 분석하는 방법인 Moran's I, Geary's Ci 그리고 Getis-Ord's Gi*를 활용하였다. 그리고 개별 분석방법이 지니는 장점을 연구 결과에 반영하기 위하여, 각각의 분석에서 도출된 결과를 통합하여 화재의 공간적 분포 특성을 해석하였다. 연구 결과 강원도에서는 화재 발생의 핫스팟 지역이 존재하였으며, 핫스팟 지역 중에서도 인접한 지역에 비하여 상대적으로 높은 화재 발생빈도를 보이는 지역을 확인할 수 있었다. 본 연구의 결과는 연구지역에서의 화재 발생 위험지역 예측과 소방 시설 재배치를 위한 자료로 활용될 수 있다.

가계조사를 통한 한국인의 TAP 유전자의 다형성과 HLA-TAP 일배체형 분포에 관한 연구 (Family Study of TAP Gene Polymorphism and HLA-TAP Haplotypes in Koreans)

  • 황동희;박명희
    • IMMUNE NETWORK
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    • 제2권4호
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    • pp.248-255
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    • 2002
  • Background: TAP1 and TAP2 are two ABC transporter genes located within the class II region of the human MHC. Their protein products form a heterodimer whose function is to transport peptides from the cytoplasm into the endoplasmic reticulum. This study was performed to examine the polymorphism of TAP genes and the distribution of HLA-TAP haplotypes in the Korean population through family analysis. Methods: The subjects used in this study were 50 healthy Korean families consisting of 233 individuals. TAP1 (codons 333 and 637) and TAP2 (codons 379, 565, 577, 651, 665, and 687) typings were carried out by the PCR-restriction fragment length polymorphism (RFLP) method. HLA-DRB1 and DQB1 genotyping results from a previous study were used for HLA-TAP haplotype analysis. Results: The number (gene frequency) of TAP1 and TAP2 alleles detected were 3 for TAP1 (A 81.5%, B 17.0%, and C 1.5%) and 8 for TAP2 (A1 32.0%, A2 12.5%, B 34.0%, Bky2 6.5%, C 7.0%, D 3.0%, E 4.5%, and G 0.5%). Eleven TAP1-TAP2 haplotypes were observed with $frequency{\geq}1%$, among which 4 haplotypes (A-B, B-A1, A-Bky2, and C-E) showed weak but significant positive linkage disequilibrium (P<0.05). When DRB1-DQB1 haplotypes were extended to TAP1 and TAP2 loci, much diversification of haplotypes was observed: 19 different DRB1-DQB1 haplotypes formed 58 different haplotypes extended to TAP1 and TAP2 loci. These results add more evidence to the view that recombination hotspot is present within and around TAP gene region. Conclusion: The allele frequencies of TAP1 and TAP2 genes and the distribution of TAP1-TAP2 and HLA-TAP haplotypes were studied in Koreans based on a family study.

A Method of Finding Hidden Key Users Based on Transfer Entropy in Microblog Network

  • Yin, Meijuan;Liu, Xiaonan;He, Gongzhen;Chen, Jing;Tang, Ziqi;Zhao, Bo
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제14권8호
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    • pp.3187-3200
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    • 2020
  • Finding key users in microblog has been a research hotspot in recent years. There are two kinds of key users: obvious and hidden ones. Influence of the former is direct while that of the latter is indirect. Most of existing methods evaluate user's direct influence, so key users they can find usually obvious ones, and their ability to identify hidden key users is very low as hidden ones exert influence in a very covert way. Consequently, the algorithm of finding hidden key users based on topic transfer entropy, called TTE, is proposed. TTE algorithm believes that hidden key users are those normal users possessing a high covert influence on obvious ones. Firstly, obvious key users are discovered based on microblog propagation scale. Then, based on microblogs' topic similarity and time correlation, the transfer entropy from ordinary users' blogs to obvious key users is calculated and used to measure the covert influence. Finally, hidden influence degrees of ordinary users are comprehensively evaluated by combining above indicators with the influence of both ordinary users and obvious ones. We conducted experiments on Sina Weibo, and the results showed that TTE algorithm had a good ability to identify hidden key users.

Analytical Evaluation of FFR-aided Heterogeneous Cellular Networks with Optimal Double Threshold

  • Abdullahi, Sani Umar;Liu, Jian;Mohadeskasaei, Seyed Alireza
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제11권7호
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    • pp.3370-3392
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    • 2017
  • Next Generation Beyond 4G/5G systems will rely on the deployment of small cells over conventional macrocells for achieving high spectral efficiency and improved coverage performance, especially for indoor and hotspot environments. In such heterogeneous networks, the expected performance gains can only be derived with the use of efficient interference coordination schemes, such as Fractional Frequency Reuse (FFR), which is very attractive for its simplicity and effectiveness. In this work, femtocells are deployed according to a spatial Poisson Point Process (PPP) over hexagonally shaped, 6-sector macro base stations (MeNBs) in an uncoordinated manner, operating in hybrid mode. A newly introduced intermediary region prevents cross-tier, cross-boundary interference and improves user equipment (UE) performance at the boundary of cell center and cell edge. With tools of stochastic geometry, an analytical framework for the signal-to-interference-plus-noise-ratio (SINR) distribution is developed to evaluate the performance of all UEs in different spatial locations, with consideration to both co-tier and cross-tier interference. Using the SINR distribution framework, average network throughput per tier is derived together with a newly proposed harmonic mean, which ensures fairness in resource allocation amongst all UEs. Finally, the FFR network parameters are optimized for maximizing average network throughput, and the harmonic mean using a fair resource assignment constraint. Numerical results verify the proposed analytical framework, and provide insights into design trade-offs between maximizing throughput and user fairness by appropriately adjusting the spatial partitioning thresholds, the spectrum allocation factor, and the femtocell density.

Status, Utilization and Economic Valuation of Non-timber Forest Products of Arunachal Pradesh, India

  • Sharma, Dhruba;Tiwari, B.K.;Chaturvedi, S.S.;Diengdoh, Evamary
    • Journal of Forest and Environmental Science
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    • 제31권1호
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    • pp.24-37
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    • 2015
  • Non-timber forest products are important component of subsistence and livelihood of tribal communities living in and near forests. This is of particular significance in the state of Arunachal Pradesh having more than 80% of geographical area under forest cover and predominantly inhabited by tribal people. Purpose of this study was to document the status and utilization pattern and to assess the economic value of NTFPs of the state. Present study was carried out in eight districts of Arunachal Pradesh viz., Changlang, East Kameng, Lower Subansiri, Tawang, Tirap, Upper Siang, West Kameng and West Siang covering 34 villages and 350 households. Altogether, 135 plant based and 36 animal based non-timber forest products were recorded. Among plant based NTFPs, 54 species were collected for leaves, 30 for stem and 22 for fruits. Most of the animal based NTFPs (93%) were collected/hunted for food. Average 20~40 kg of NTFPs was collected annually per household. Maximum plant based NTFP collection was recorded from West Siang followed by West Kameng and Tawang. Similarly, highest collection of animal based NTFPs was recorded from West Siang followed by Tirap and Lower Subansiri. NTFP contributed more than 50% of annual income of the people of East Kameng, Tirap, Lower Subansiri and Upper Siang districts. An illiterate and unemployed person with minimum agricultural land was more dependent on forests for his livelihood than a literate jobholder. The study concludes that a large section of people of Arunachal Pradesh are dependent on NTFPs for their livelihood however due to its unscientific harvesting, the availability of NTFPs is receding with time. There is an urgent need to promote cultivation and scientific harvesting of NTFPs in order to conserve the plant and animal diversity of this global biodiversity hotspot and for ensuring livelihood security of the people living in this area.

Genetic Characterization of Molecular Targets in Korean Patients with Gastrointestinal Stromal Tumors

  • Park, Joonhong;Yoo, Han Mo;Sul, Hae Jung;Shin, Soyoung;Lee, Seung Woo;Kim, Jeong Goo
    • Journal of Gastric Cancer
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    • 제20권1호
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    • pp.29-40
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    • 2020
  • Purpose: Gastrointestinal stromal tumors (GISTs) frequently harbor activating gene mutations in either KIT or platelet-derived growth factor receptor A (PDGFRA) and are highly responsive to several selective tyrosine kinase inhibitors. In this study, a targeted next-generation sequencing (NGS) assay with an Oncomine Focus Assay (OFA) panel was used for the genetic characterization of molecular targets in 30 Korean patients with GIST. Materials and Methods: Using the OFA that enables rapid and simultaneous detection of hotspots, single nucleotide variants (SNVs), insertion and deletions (Indels), copy number variants (CNVs), and gene fusions across 52 genes relevant to solid tumors, targeted NGS was performed using genomic DNA extracted from formalin-fixed and paraffin-embedded samples of 30 GISTs. Results: Forty-three hotspot/other likely pathogenic variants (33 SNVs, 8 Indels, and 2 amplifications) in 16 genes were identified in 26 of the 30 GISTs. KIT variants were most frequent (44%, 19/43), followed by 6 variants in PIK3CA, 3 in PDGFRA, 2 each in JAK1 and EGFR, and 1 each in AKT1, ALK, CCND1, CTNNB1, FGFR3, FGFR4, GNA11, GNAQ, JAK3, MET, and SMO. Based on the mutation types, majority of the variants carried missense mutations (60%, 26/43), followed by 8 frameshifts, 6 nonsense, 1 stop-loss, and 2 amplifications. Conclusions: Our study confirmed the advantage of using targeted NGS with a cancer gene panel to efficiently identify mutations associated with GISTs. These findings may provide a molecular genetic basis for developing new drugs targeting these gene mutations for GIST therapy.

Association of The IDH1 C.395G>A (R132H) Mutation with Histological Type in Malay Brain Tumors

  • Yusoff, Abdul Aziz Mohamed;Zulfakhar, Fatin Najwa;Sul'ain, Mohd Dasuki;Idris, Zamzuri;Abdullah, Jafri Malin
    • Asian Pacific Journal of Cancer Prevention
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    • 제17권12호
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    • pp.5195-5201
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    • 2016
  • Background: Brain tumors, constituting one of the most deadly forms of cancer worldwide, result from the accumulation of multiple genetic and epigenetic alterations in genes and signaling pathways. Isocitrate dehydrogenase enzyme isoform 1 (IDH1) mutations are frequently identified in primary brain tumors and acute myeloid leukemia. Studies on IDH1 gene mutations have been extensively performed in various populations worldwide but not in Malaysia. This work was conducted to study the prevalence of IDH1 c.395G>A (R132H) hotspot mutations in a group of Malaysian patients with brain tumors in order to gain local data for the IDH1 mutation profile in our population. Methods: Mutation analysis of c.395G>A (R132H) of IDH1 was performed in 40 brain tumor specimens by the polymerase chain reaction-restriction fragment length polymorphism method (PCR-RFLP) and then verified by direct sequencing. Associations between the IDH1 c.395G>A (R132H) mutation and clinicopathologic characteristics were also analyzed. Results: The IDH1 c.395G>A (R132H) mutation was detected in 14/40 patients (35%). A significant association was found with histological tumor types, but not with age, gender and race. Conclusions: IDH1 is frequently mutated and associated with histological subtypes in Malay brain tumors.

Distinct mutations in MLH1 and MSH2 genes in Hereditary Non-polyposis Colorectal Cancer (HNPCC) families from China

  • Wei, Wenqian;Liu, Fangqi;Liu, Lei;Li, Zuofeng;Zhang, Xiaoyan;Jiang, Fan;Shi, Qu;Zhou, Xiaoyan;Sheng, Weiqi;Cai, Sanjun;Li, Xuan;Xu, Ye;Nan, Peng
    • BMB Reports
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    • 제44권5호
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    • pp.317-322
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    • 2011
  • Hereditary non-polyposis Colorectal Cancer (HNPCC) is an autosomal dominant inheritance syndrome. HNPCC is the most common hereditary variant of colorectal cancer (CRC), which accounts for 2-5% CRCs, mainly due to hMLH1 and hMSH2 mutations that impair DNA repair functions. Our study aimed to identify the patterns of hMSH2 and hMLH1 mutations in Chinese HNPCC patients. Ninety-eight unrelated families from China meeting Amsterdam or Bethesda criteria were included in our study. Germline mutations in MLH1 and MSH2 genes, located in the exons and the splice-site junctions, were screened in the 98 probands by direct sequencing. Eleven mutations were found in ten patients (11%), with six in MLH1 (54.5%) and five in MSH2 (45.5%) genes. One patient had mutations in both MLH1 and MSH2 genes. Three novel mutations in MLH1 gene (c.157_160delGAGG, c.2157dupT and c.-64G>T) were found for the first time, and one suspected hotspot in MSH2 (c.1168C>T) was revealed.

자바 프로그램에서 메모리 영역 간 자료 이동에 따른 부담 분석 (Analysis of Data Transfer Overhead Among Memory Regions in Java Program)

  • 양희재
    • 한국정보과학회논문지:소프트웨어및응용
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    • 제35권5호
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    • pp.281-287
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    • 2008
  • 자바 프로그램이 실행되면서 자료들은 상수에서 변수로, 변수에서 변수로 등 다양한 경로로 이동한다. 자료들은 메모리에 위치하며 자료의 이동은 메모리에 대한 접근을 필요로 한다. 메모리 접근은 시간지연과 에너지 소비를 야기하므로 여러 경로의 자료 이동이 어떤 부담을 갖는지를 아는 것은 효율적 프로그램 작성은 물론 고성능 자바가상기계의 구현에도 필수적이라 할 수 있다. 본 논문에서는 자바 메모리를 상수, 지역변수, 필드 등 세 가지 영역으로 나누고 각 영역 간의 자료 이동에 대한 부담을 조사하였다. 분석 결과 지역변수에서 지역변수로의 자료 이동이 가장 부담이 작고 필드에서 필드로의 이동이 가장 부담이 큰 것으로 조사 되었으며 부담 차이는 최대 2배에 이르는 것을 발견하였다. JIT 등 최적화 기술은 자료 이동 부담을 현저히 감소시켰으며 HotSpot JVM의 경우 최소 14배에서 최대 27배까지 부담 저하 효과를 나타내었다.