• 제목/요약/키워드: Weight map

검색결과 347건 처리시간 0.027초

Simulative Investigation of Spectral Amplitude Coding Based OCDMA System Using Quantum Logic Gate Code with NAND and Direct Detection Techniques

  • Sharma, Teena;Maddila, Ravi Kumar;Aljunid, Syed Alwee
    • Current Optics and Photonics
    • /
    • 제3권6호
    • /
    • pp.531-540
    • /
    • 2019
  • Spectral Amplitude Coding Optical Code Division Multiple Access (SAC OCDMA) is an advanced technique in asynchronous environments. This paper proposes design and implementation of a novel quantum logic gate (QLG) code, with code construction algorithm generated without following any code mapping procedures for SAC system. The proposed code has a unitary matrices property with maximum overlap of one chip for various clients and no overlaps in spectra for the rest of the subscribers. Results indicate that a single algorithm produces the same length increment for codes with weight greater than two and follows the same signal to noise ratio (SNR) and bit error rate (BER) calculations for a higher number of users. This paper further examines the performance of a QLG code based SAC-OCDMA system with NAND and direct detection techniques. BER analysis was carried out for the proposed code and results were compared with existing MDW, RD and GMP codes. We demonstrate that the QLG code based system performs better in terms of cardinality, which is followed by improved BER. Numerical analysis reveals that for error free transmission (10-9), the suggested code supports approximately 170 users with code weight 4. Our results also conclude that the proposed code provides improvement in the code construction, cross-correlation and minimization of noises.

자기 조직화 신경망을 이용한 클러스터링 알고리듬 (A Clustering Algorithm using Self-Organizing Feature Maps)

  • 이종섭;강맹규
    • 대한산업공학회지
    • /
    • 제31권3호
    • /
    • pp.257-264
    • /
    • 2005
  • This paper suggests a heuristic algorithm for the clustering problem. Clustering involves grouping similar objects into a cluster. Clustering is used in a wide variety of fields including data mining, marketing, and biology. Until now there are a lot of approaches using Self-Organizing Feature Maps(SOFMs). But they have problems with a small output-layer nodes and initial weight. For example, one of them is a one-dimension map of k output-layer nodes, if they want to make k clusters. This approach has problems to classify elaboratively. This paper suggests one-dimensional output-layer nodes in SOFMs. The number of output-layer nodes is more than those of clusters intended to find and the order of output-layer nodes is ascending in the sum of the output-layer node's weight. We can find input data in SOFMs output node and classify input data in output nodes using Euclidean distance. We use the well known IRIS data as an experimental data. Unsupervised clustering of IRIS data typically results in 15 - 17 clustering error. However, the proposed algorithm has only six clustering errors.

Robust Image Similarity Measurement based on MR Physical Information

  • Eun, Sung-Jong;Jung, Eun-Young;Park, Dong Kyun;Whangbo, Taeg-Keun
    • KSII Transactions on Internet and Information Systems (TIIS)
    • /
    • 제11권9호
    • /
    • pp.4461-4475
    • /
    • 2017
  • Recently, introduction of the hospital information system has remarkably improved the efficiency of health care services within hospitals. Due to improvement of the hospital information system, the issue of integration of medical information has emerged, and attempts to achieve it have been made. However, as a preceding step for integration of medical information, the problem of searching the same patient should be solved first, and studies on patient identification algorithm are required. As a typical case, similarity can be calculated through MPI (Master Patient Index) module, by comparing various fields such as patient's basic information and treatment information, etc. but it has many problems including the language system not suitable to Korean, estimation of an optimal weight by field, etc. This paper proposes a method searching the same patient using MRI information besides patient's field information as a supplementary method to increase the accuracy of matching algorithm such as MPI, etc. Unlike existing methods only using image information, upon identifying a patient, a highest weight was given to physical information of medical image and set as an unchangeable unique value, and as a result a high accuracy was detected. We aim to use the similarity measurement result as secondary measures in identifying a patient in the future.

영상처리에 의한 한글인장의 자동직별에 관한 연구 (A Study on the Automatic Identification of HANGEUL Seal by using the Image Processing)

  • 이기돈;전병민;김상운
    • 한국통신학회논문지
    • /
    • 제10권2호
    • /
    • pp.69-75
    • /
    • 1985
  • 印章識別은 平滑化, 回轉 및 移動, 細線化整合技法의 순서로 수행된다. CCTV카메라에 入力된 印章映像은 A/D變換機와 8bit microcomputer에 의하여 $256{\times}256$畵素의 2進映像으로 변환한다. 두 映像을 定位置로 回轉시킨 후, 細線化過程을 거쳐 文字의 골격선을 찾는다. 畵素거리에 따라 Weight.를 정하고 distance-weighted Correlation, C를 계산한다. 계산된 $C^K$와 결정상수 $C_YES$, $C_NO$를 비교하여 印章을 識別한 결과 95%의 높은 識別率을 얻었고 한 개의 對象印章을 識別하는데 걸린 시간은 3분 이내였다.

  • PDF

Characterization of Poly(ethylene oxide)-b-Poly(L-lactide) Block Copolymer by Matrix-Assisted Laser Desorption/Ionization Time-of-Flight Mass Spectrometry

  • Jeongmin Hong;Donghyun Cho;Taihyun Chang;Shim, Woo-Sun;Lee, Doo-Sung
    • Macromolecular Research
    • /
    • 제11권5호
    • /
    • pp.341-346
    • /
    • 2003
  • A poly(ethylene oxide)-b-poly(L-lactide) diblock copolymer (PEO-b-PLLA) is characterized by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) and a block length distribution map is constructed. Although the MALDI- TOF mass spectrum of PEO-b-PLLA is very complicated, most of the polymer species were identified by isolating the overlapped isotope patterns and by fitting the overlapped peaks to the Schulz-Zimm distribution function. Reconstructed MALDI-TOF MS spectrum was nearly identical to the measured spectrum and this method shows its potential to be developed as an easy and fast analysis method of low molecular weight block copolymers.

QTL Mapping for Major Agronomic Traits across Two Years in Soybean(Glycine max L. Merr.)

  • Li, Wenxin;Zheng, Da-Hao;Van, Kyu-Jung;Lee, Suk-Ha
    • Journal of Crop Science and Biotechnology
    • /
    • 제11권3호
    • /
    • pp.171-176
    • /
    • 2008
  • The agronomic traits, such as days to flowering and maturity, plant height, 100-seed weight and seed filling period, are quantitatively inherited and important characters in soybean(Glycine max L. Merr.). A total of 126 $F_5$ recombinant inbred lines(RILs) developed from the cross of PI 171451$\times$Hwaeomputkong were used to identify quantitative trait loci(QTLs) for days to flowering(FD), days to maturity(MD), plant height(PH), 100-seed weight(SW), number of branches(NB) and seed filling period(FP). A total of 136 simple sequence repeat(SSR) markers segregated in a RIL population were distributed over 20 linkage groups(LGs), covering 1073.9 cM of the soybean genome with the average distance between adjacent markers of 7.9 cM. Five independent QTLs were identified for FD, three for MD, two for PH, three for SW, one for NB and one for FP. Of these, three QTLs were related to more than two traits of FD, MD, PH, NB and FP and mapped near the same positions on LGs H and O. Thus, these traits could be correlated with biologically controlled major QTLs in this soybean RIL population.

  • PDF

Mapping of Quantitative Trait Loci for Yield and Grade Related Traits in Peanut (Arachis hypogaea L.) Using High-Resolution SNP Markers

  • Liang, Yuya;Baring, Michael R.;Septiningsih, Endang M.
    • Plant Breeding and Biotechnology
    • /
    • 제6권4호
    • /
    • pp.454-462
    • /
    • 2018
  • Yield and grade are the key factors that affect production value of peanut. The objective of this study was to identify QTLs for pod yield, hundred-seed weight, and total sound mature kernel (TSMK). A total of 90 recombinant inbred lines, derived from Tamrun OL07 and a breeding line Tx964117, were used as a mapping population and planted in Brownfield and Stephenville, Texas. A genetic map was developed using 1,211 SNP markers based on double digest restriction-site associated DNA sequencing (ddRAD-seq). A total of 10 QTLs were identified above the permutation threshold, three for yield, three for hundred-seed weight and four for TSMK, with LOD score values of 3.7 - 6.9 and phenotypic variance explained of 12.2% - 35.9%. Among those, there were several QTLs that were detected in more than one field experiment. The commonly detected QTLs in this study may be used as potential targets for future breeding program to incorporate yield and grade related traits through molecular breeding.

한국의 적설하중 기준에 대한 평가 및 개선방안 (Assessment and Improvement of Snow Load Codes and Standards in Korea)

  • 유인상;김하룡;;정상만
    • 대한토목학회논문집
    • /
    • 제34권5호
    • /
    • pp.1421-1433
    • /
    • 2014
  • 본 연구에서는 적설심 빈도분석을 수행하기 위해 우리나라에 가장 적합한 확률분포형과 모수추정방법을 선정하였다. 최적확률분포형으로는 Generalized Extreme Value (GEV), 모수추정방법으로는 확률가중모멘트법이 선정되었다. 선정된 확률분포형과 모수추정방법을 적용하여 우리나라 69개 기상관측소별 적설심 빈도분석을 수행하였다. 빈도분석을 통해 관측소별 빈도별 적설심을 산정하였고 적설심과 눈의 단위중량을 이용하여 적설하중을 산정하였다. 산정된 적설하중 중 100년 빈도 적설하중을 이용하여 ArcGIS 크리깅(Kriging) 기법을 통해 우리나라 설계적설하중 지도를 작성하였다. 또한, 본 연구를 통해 산정된 적설하중과 건축구조기준 및 해설(2009)에서 제시하고 있는 설계적설하중을 비교하여 설계적설하중 기준의 적정성을 평가하였다. 평가결과, 대부분의 지역에서 현재 지상적설하중 기준의 상향조정이 요구되었으며 본 연구를 통해 도출된 결과를 반영하여 보다 합리적인 지역별 설계적설하중을 제안하였다. 본 연구를 통해 제안된 지역별 설계적설하중은 폭설에 대비한 우리나라 전역의 구조물 설계에 활용될 수 있을 것으로 기대된다.

GIS와 범죄예방환경설계 기반의 범죄취약지도 작성 (Crime Mapping using GIS and Crime Prevention Through Environmental Design)

  • 박동현;강인준;최현;김상석
    • 대한공간정보학회지
    • /
    • 제23권1호
    • /
    • pp.31-37
    • /
    • 2015
  • 최근 5대 범죄(살인, 강도, 강간, 절도, 폭력) 발생은 장기적인 경기침체와 불황으로 꾸준히 증가하고 있다. 지금까지 분석된 5대 범죄의 발생특성을 살펴보면, 그 발생지가 치안환경에 열악한 우범지역이라는 공통점이 있어, 우범 지역에서의 범죄 발생률을 낮추기 위해 CPTED의 활용이 강조되고 있다. 이에 본 연구에서는 CPTED 감시요소와 기존의 범죄발생자료를 활용하여, 범죄취약지등급도 작성 방안을 제시하였다. 특히, 감시요소 중 치안센터를 요점 순찰과 정선순찰 등으로 나누어 CCTV, 가로등과 함께 3단계의 감시등급으로 나누어 시각화하였다. 또한, 연구지역에서 발생한 범죄발생통계자료를 통해 용도지역별 범죄율을 확인하고 범죄발생 현황도를 구축하였다. 구축된 감시요소와 발생지의 용도지역에 대한 AHP분석을 통해 가중치를 산정하고, 각각의 요소를 중첩하여 감시단계별 범죄치약지도를 작성한 결과 범죄로부터 취약한 1등급지가 감시 3단계에서 1단계에 비해 절도 약 60%, 폭력 약 52%, 강간 약 33%가 감소함을 확인 할 수 있었다.

Detection of Quantitative Trait Loci for Growth and Carcass Traits on BTA6 in a Hanwoo Population

  • Lee, Y.-M.;Lee, Y.S.;Han, C.-M.;Lee, J.-H.;Yeo, J.S.;Kim, Jong-Joo
    • Asian-Australasian Journal of Animal Sciences
    • /
    • 제23권3호
    • /
    • pp.287-291
    • /
    • 2010
  • The purpose of this study was to detect quantitative trait loci (QTL) for growth and carcass quality traits on BTA6 in a population of Hanwoo cattle. Three hundred and sixty one steers were produced from 39 sires that were sired by 17 grandsires in the two Hanwoo farming branches of the National Livestock Research Institute of Korea, between Spring 2000 and Fall 2002. DNA samples were collected for all of the steers, sires and grandsires, and the phenotypes for six growth and carcass quality traits were measured at 24 months of age. Twelve microsatellite markers were chosen on BTA6 and a linkage map was constructed by using seven of the twelve markers. Then, a chromosome-wide QTL scan was performed by applying an Animal Model, in which effects of QTL alleles within the grand sires were fitted as a random term. Three QTL were detected at the 5% chromosome-wise level for backfat thickness, average daily gain, and final weight. The most likely positions for the QTL were in the proximal region, i.e. 0 cM, 35 cM, and 63 cM, respectively. Also, another QTL for longissimus dorsi muscle area was detected at the 10% chromosome-wise level at 67 cM. These results were, in general, consistent with our previous report, in which candidate gene analyses showed that a SNP near ILSTS035 flanked by BM4621 (62.5 cM) and BMS2460 (81.3 cM) was associated with final weight, carcass weight, average daily gain, and longissimus dorsi muscle area in the same Hanwoo population.