• 제목/요약/키워드: Multiple Selection

검색결과 1,413건 처리시간 0.023초

전류방식 CMOS에 의한 ROM 형의 다치 논리 회로 설계 (Design of Multiple Valued Logic Circuits with ROM Type using Current Mode CMOS)

  • 최재석;성현경
    • 전자공학회논문지B
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    • 제31B권4호
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    • pp.55-61
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    • 1994
  • The multiple valued logic(MVL) circuit with ROM type using current mode CMOS is presented in this paper. This circuit is composed of the multiple valued-to-binary(MV/B) decoder and the selection circuit. The MV/B decoder decodes the single input multiple valued signal to N binary signal, and the selection circuits is composed N$\times$N array of the selecion cells with ROM types. The selection cell is realized with the current mirror circuits and the inhibit circuits. The presented circuit is suitable for designing the circuit of MVL functions with independent variables, and reduces the number of selection cells for designing the circuit of symmetric MVL functions as many as {($N^2$-N)/2}+N. This circuit possess features of simplicity. expansibility for array and regularity, modularity for the wire routing. Also, it is suitable for VLSI implementation.

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ML검출 기반 공간다중화 MIMO 시스템의 UEP 프리코더 선정기술 (UEP Precoder Selection Technique for ML Detected SM MIMO Systems)

  • 박재영;김재권
    • 한국통신학회논문지
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    • 제42권4호
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    • pp.747-749
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    • 2017
  • 본 논문에서는 maximum-likelihood (ML) 신호검출을 사용하는 공간다중화 multiple-input multiple-output (MIMO) 시스템을 위한 새로운 unequal error protection (UEP) 프리코더 선정기술을 제안한다. 기존 프리코더 선정기술들은 UEP를 고려하지 않고 설계되었으나, 제안된 기술은 다중안테나 UEP를 고려한다. 모의실험을 통해 제안된 기술의 적용에 따른 향상된 다중안테나 UEP 성능을 확인한다.

Evolutionary Algorithm for Process Plan Selection with Multiple Objectives

  • MOON, Chiung;LEE, Younghae;GEN, Mitsuo
    • Industrial Engineering and Management Systems
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    • 제3권2호
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    • pp.116-122
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    • 2004
  • This paper presents a process plan selection model with multiple objectives. The process plans for all parts should be selected under multiple objective environment as follows: (1) minimizing the sum of machine processing and material handling time of all the parts considering realistic shop factors such as production volume, processing time, machine capacity, and capacity of transfer device. (2) balancing the load between machines. A multiple objective mathematical model is proposed and an evolutionary algorithm with the adaptive recombination strategy is developed to solve the model. To illustrate the efficiency of proposed approach, numerical examples are presented. The proposed approach is found to be effective in offering a set of satisfactory Pareto solutions within a satisfactory CPU time in a multiple objective environment.

하향링크 다중 사용자 MIMO 시스템에서의 Zero-Forcing 빔 형성을 이용한 효과적인 사용자 선택 기법 (An Efficient User Selection Algorithm in Downlink Multiuser MIMO Systems with Zero-Forcing Beamforming)

  • 고현성;오태열;최승원
    • 한국통신학회논문지
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    • 제34권6A호
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    • pp.494-499
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    • 2009
  • 본 논문에서는 하향링크 다중 사용자 Multiple Input Multiple Output (MIMO) 채널 환경에서 시스템 용량을 최대화시키기 위한 효과적인 사용자 선택 기법에 대해서 논의한다. 본 논문에서 제안하는 방법은 사용자 채널 파워와 채널 간의 각도를 이용하여 최적의 사용자 집단을 선택하는 새로운 방법이다. 이 방법은 SUS 방법에 비해 허용 상관도 값을 별도로 생각하지 않아도 되기 때문에 간단한 방법이며, 시스템 성능을 최대화시키는 사용자들을 찾는 방법이기 때문에 향상된 성능을 보인다.

Prevalence of negative frequency-dependent selection, revealed by incomplete selective sweeps in African populations of Drosophila melanogaster

  • Kim, Yuseob
    • BMB Reports
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    • 제51권1호
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    • pp.1-2
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    • 2018
  • Positive selection on a new beneficial mutation generates a characteristic pattern of DNA sequence polymorphism when it reaches an intermediate allele frequency. On genome sequences of African Drosophila melanogaster, we detected such signatures of selection at 37 candidate loci and identified "sweeping haplotypes (SHs)" that are increasing or have increased rapidly in frequency due to hitchhiking. Based on geographic distribution of SH frequencies, we could infer whether selective sweeps occurred starting from de novo beneficial mutants under simple constant selective pressure. Single SHs were identified at more than half of loci. However, at many other loci, we observed multiple independent SHs, implying soft selective sweeps due to a high beneficial mutation rate or parallel evolution across space. Interestingly, SH frequencies were intermediate across multiple populations at about a quarter of the loci despite relatively low migration rates inferred between African populations. This invokes a certain form of frequency-dependent selection such as heterozygote advantage. At one locus, we observed a complex pattern of multiple independent that was compatible with recurrent frequency-dependent positive selection on new variants. In conclusion, genomic patterns of positive selection are very diverse, with equal contributions of hard and soft sweeps and a surprisingly large proportion of frequency-dependent selection in D. melanogaster populations.

다속성 의사결정법과 퍼지정량화 이론을 이용한 공정계획 선택에 관한 연구 (A study on process-plan selection via multiple attribute decision-making approach and fuzzy quantification theory)

  • 임춘우;이노성
    • 제어로봇시스템학회논문지
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    • 제3권5호
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    • pp.490-496
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    • 1997
  • This paper describes a new process-plan selection method using a modified Fuzzy Quantification Theory(FQT). The problem of process-plan selection can be characterized by multiple attributes and used subjective, uncertain information. Fuzzy Quantification Theory is used for handling such information because it is a useful tool when human judgment or evaluation is quantified via linguistic variables, and the proposed method is concerned with the selection of a process plan by derivation of the values of categories for each attribute. In this paper, a modified Fuzzy Quantification Theory(FQT) is described and the procedure of this approach is explained and examples illustrated.

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CREATING MULTIPLE CLASSIFIERS FOR THE CLASSIFICATION OF HYPERSPECTRAL DATA;FEATURE SELECTION OR FEATURE EXTRACTION

  • Maghsoudi, Yasser;Rahimzadegan, Majid;Zoej, M.J.Valadan
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2007년도 Proceedings of ISRS 2007
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    • pp.6-10
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    • 2007
  • Classification of hyperspectral images is challenging. A very high dimensional input space requires an exponentially large amount of data to adequately and reliably represent the classes in that space. In other words in order to obtain statistically reliable classification results, the number of necessary training samples increases exponentially as the number of spectral bands increases. However, in many situations, acquisition of the large number of training samples for these high-dimensional datasets may not be so easy. This problem can be overcome by using multiple classifiers. In this paper we compared the effectiveness of two approaches for creating multiple classifiers, feature selection and feature extraction. The methods are based on generating multiple feature subsets by running feature selection or feature extraction algorithm several times, each time for discrimination of one of the classes from the rest. A maximum likelihood classifier is applied on each of the obtained feature subsets and finally a combination scheme was used to combine the outputs of individual classifiers. Experimental results show the effectiveness of feature extraction algorithm for generating multiple classifiers.

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음식관여도 유형에 따른 레스토랑 간편식 선택속성 중요도-수행도 분석 (Importance-Performance Analysis of Restaurant Meal Replacement (RMR) Selection Attributes According to Food Involvement Type)

  • 최승균;홍완수
    • 한국식생활문화학회지
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    • 제38권6호
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    • pp.402-414
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    • 2023
  • This study evaluated the consumers' demands and points of improvement for restaurant meal replacement through importance-performance analysis by the restaurant meal replacement segment market using food involvement. The results were as follows. First, after segmenting the restaurant meal replacement market using food involvement, it was classified into three markets (multiple involvements, exploration-oriented, and product quality-oriented). Second, an analysis of the importance of restaurant meal replacement selection attributes revealed taste, sanitation, quality, freshness, price, saving time, texture, ingredients, preparation process, and quantity to be highly important. An analysis of the differences according to the market type revealed the multiple involvement type to be more important than other groups, considering the restaurant meal replacement selection attribute element. Third, an analysis of the importance-performance analysis of restaurant meal replacement selection attributes revealed that quantity and price as the selection attributes that needed to be improved first in all three markets. In addition, in the multiple involvement type, food additives appeared as a selection attribute requiring priority improvement, revealing the characteristics of a market that cares about diet and health.

Performance of Convolutionally-Coded MIMO Systems with Antenna Selection

  • Hamouda Walaa;Ghrayeb Ali
    • Journal of Communications and Networks
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    • 제7권3호
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    • pp.307-312
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    • 2005
  • In this work, we study the performance of a serial concatenated scheme comprising a convolutional code (CC) and an orthogonal space-time block code (STBC) separated by an inter-leaver. Specifically, we derive performance bounds for this concatenated scheme, clearly quantify the impact of using a CC in conjunction with a STBC, and compare that to using a STBC code only. Furthermore, we examine the impact of performing antenna selection at the receiver on the diversity order and coding gain of the system. In performing antenna selection, we adopt a selection criterion that is based on maximizing the instantaneous signal-to­noise ratio (SNR) at the receiver. That is, we select a subset of the available receive antennas that maximizes the received SNR. Two channel models are considered in this study: Fast fading and quasi-static fading. For both cases, our analyses show that substantial coding gains can be achieved, which is confirmed through Monte-Carlo simulations. We demonstrate that the spatial diversity is maintained for all cases, whereas the coding gain deteriorates by no more than $10\;log_{10}$ (M / L) dB, all relative to the full complexity multiple-input multiple-output (MIMO) system.

Partly Random Multiple Weighting Matrices Selection for Orthogonal Random Beamforming

  • Tan, Li;Li, Zhongcai;Xu, Chao;Wang, Desheng
    • Journal of Communications and Networks
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    • 제18권6호
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    • pp.892-901
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    • 2016
  • In the multi-user multiple-input multiple-output (MIMO) system, orthogonal random beamforming (ORBF) scheme is proposed to serve multiple users simultaneously in order to achieve the multi-user diversity gain. The opportunistic space-division multiple access system (OSDMA-S) scheme performs multiple weighting matrices during the training phase and chooses the best weighting matrix to be used to broadcast data during the transmitting phase. The OSDMA-S scheme works better than the original ORBF by decreasing the inter-user interference during the transmitting phase. To save more time in the training phase, a partly random multiple weighting matrices selection scheme is proposed in this paper. In our proposed scheme, the Base Station does not need to use several unitary matrices to broadcast pilot symbol. Actually, only one broadcasting operation is needed. Each subscriber generates several virtual equivalent channels with a set of pre-saved unitary matrices and the channel status information gained from the broadcasting operation. The signal-to-interference and noise ratio (SINR) of each beam in each virtual equivalent channel is calculated and fed back to the base station for the weighting matrix selection and multi-user scheduling. According to the theoretical analysis, the proposed scheme relatively expands the transmitting phase and reduces the interactive complexity between the Base Station and subscribers. The asymptotic analysis and the simulation results show that the proposed scheme improves the throughput performance of the multi-user MIMO system.