• 제목/요약/키워드: Improving memory

검색결과 441건 처리시간 0.028초

군단급 간이분석 워게임모형을 이용한 군단 및 사단 작전분석 방안 연구 (A Study on Corps / Division Operation Analysis Using Simplified Corps Level Wargame Model)

  • 박승환;강성진
    • 한국국방경영분석학회지
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    • 제24권2호
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    • pp.95-116
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    • 1998
  • Many different kinds of wargame models have been developed and used in training and analysis purpose. However, there has been few wargame model which analyze corps or division level operational analysis. Recently KIDA develops corps level operational analysis model based on START(simplified tool for analysis of regional treats) model developed by RAND. This model runs in a PC level with 2MB memory and provides one day combat results within 30 seconds. Only one or three person can operate this model and evaluate multiple corps level operational analysis including chemical effects, $C^3I$ capacity, new weapon system effectiveness and other qualitative effects. We tested this model and evaluated input and output data. We showed that this model can be applied in division level operational analysis also. As an example division level application procedure and sensitivity analysis data was provided. We also find some limitation and problems in the model and suggest application areas and improving methods.

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쉐이딩 보정 알고리즘과 CMOS 이미지 센싱 시스템 설계 (Shading Correction Algorithm and CMOS Image Sensing System Design)

  • 김영빈;류광렬
    • 한국정보통신학회:학술대회논문집
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    • 한국정보통신학회 2012년도 추계학술대회
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    • pp.1003-1006
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    • 2012
  • 본 논문은 CMOS 센서의 스캔 이미지 향상 위한 기법으로 흑백의 명암차를 이용한 이미지 보상 알고리즘과 시스템 설계에 관한 연구이다. 제안한 기법은 CMOS 센서의 각 화소에 대해 명암차를 구하고, 제한된 메모리 조건 하에서 쉐이딩 알고리즘을 적용한다. 제안 기법의 성능은 하드웨어를 설계하여 평가 한다. 실험 결과는 테스트 이미지의 에지 부분에서 채널별 밝기 차이가 개선되었고, 균등한 품질의 이미지 센싱이 가능하였다.

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3D VR 기반의 교육 콘텐츠 개발 시스템 구현 (Implementation of Developement System of Education Contents Utilizing 3D VR)

  • 배성실;이정민;안성수
    • 디지털산업정보학회논문지
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    • 제12권1호
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    • pp.97-106
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    • 2016
  • 3D virual reality technique develop rapidly such as parts of education, health, national defense, etc. This paper implements an education contents utilizing 3D virtual reality based on HMD. In this paper, contents make up Changdeokgung Palace using to 3Dmax and Unity program, it shows on implemented Helmet Mounted Display. HMD obtain dynamic image from the target source of smart phone. Also, contents consist of service senerio through divided palace position and King's a day's journey especially. Above all, this paper indicate improving performance according to reduced cybersickness and immersion enlargement. And memory capacity reduced by various technique such that file type, compressed file, minimized resource. Proposed technique can obtain dynamic 3D image by HMD implementation at real time basis so that it is possible to use simultaneously multi-source. From the various and practical experiment, it is confirm that proposed 3D VR education system is useful for experience of virtual reality practically.

Perspective for Clinical Application and Research of Transcranial Direct Current Stimulation in Physical Therapy

  • Kim, Chung-Sun;Nam, Seok-Hyun
    • The Journal of Korean Physical Therapy
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    • 제22권6호
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    • pp.91-98
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    • 2010
  • Neurostimulation approaches have been developed and explored to modulate neuroplastic changes of cortical function in human brain. As one of the most primary noninvasive tools, transcranial direct current stimulation (tDCS) was extensively studied in the field of neuroscience. The alternation of cortical neurons depending on the polarity of the tDCS has been used for improving cognitive processing including working memory, learning, and language in normal individuals, as well as in patients with neurological or psychiatric diseases. In addition, tDCS has great advantages: it is a non-invasive, painless, safe, and cost-effective approach to enhance brain function in normal subjects and patients with neurological disorders. Numerous previous studies have confirmed the efficacy of tDCS. However, tDCS has not been considered for clinical applications and research in the field of physical therapy. Therefore, this review will focus on the general principles of tDCS and its related application parameters, and provide consideration of motor behavioral research and clinical applications in physical therapy.

KTX 관광 상품 개발을 통한 수익 증대 방안 (A plan to increase revenue through a travel product development of KTX)

  • 최우성;박재석;김은혜;박정수
    • 한국철도학회:학술대회논문집
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    • 한국철도학회 2009년도 춘계학술대회 논문집
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    • pp.296-305
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    • 2009
  • Since the beginning of civilization, people live in the times that changes rapidly everyday. Above all things, In April, 2004 the first opening of KTX(high-speed railway) that has been considered as the greatest revolutionary project shrinks the whole nation into a quarter of a day life zone and has repeated the constant change and development. But now, In comparison with ordinary train system KTX fails to notice revenue for travel-product and other many factors of increased revenue. This study introduces and analyzes the present condition of high-speed railway and indicate 'the plan to increase revenue' and 'the effect of creating revenue' through a travel-product on the basis of the travel-products connected with KTX. This study focuses on 'KTX memory train travel' and propose revenue and advertisement-effect created from targeting the middle-aged market. In addition, For improving KORAIL's image and approaching the customer more and more friendly, it grasp diverse events and advertisement plans.

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Intelligent Traffic Light using Fuzzy Neural Network

  • Park, Myeong-Bok;You-Sik, Hong
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • 제3권1호
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    • pp.66-71
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    • 2003
  • In the past, when there were few vehicles on the road, the T.O.D.(Time of Day) traffic signal worked very well. The T.O.D. signal operates on a preset signal cycling which cycles on the basis of the average number of average passenger cars in the memory device of an electric signal unit. Today, with increasing traffic and congested roads, the conventional traffic light creates startup-delay time and end lag time so that thirty to forty-five percent efficiency in traffic handling is lost, as well as adding to fuel costs. To solve this problem, this paper proposes a new concept of optimal green time algorithm, which reduces average vehicle waiting time while improving average vehicle speed using fuzzy rules and neural networks. Through computer simulation, this method has been proven to be much more efficient than fixed time interval signals. Fuzzy Neural Network will consistanly improve average waiting time, vehicle speed, and fuel consumption.

Actoprotective effect of ginseng: improving mental and physical performance

  • Oliynyk, Sergiy;Oh, Seikwan
    • Journal of Ginseng Research
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    • 제37권2호
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    • pp.144-166
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    • 2013
  • Actoprotectors are preparations that increase the mental performance and enhance body stability against physical loads without increasing oxygen consumption. Actoprotectors are regarded as a subclass of adaptogens that hold a significant capacity to increase physical performance. The focus of this article is studying adaptogen herbs of genus Panax (P. ginseng in particular) and their capabilities as actoprotectors. Some animal experiments and human studies about actoprotective properties of genus Panax attest that P. ginseng (administered as an extract) significantly increased the physical and intellectual work capacities, and the data provided suggests that ginseng is a natural source of actoprotectors. Preparations of ginseng can be regarded as potential actoprotectors which give way to further research of its influence on physical and mental work capacity, endurance and restoration after exhaustive physical loads while compared with reference actoprotectors.

고밀도 성능향상을 위한 다중연산구조기반의 움직임추정 프로세서 (An Improving Motion Estimator based on multi arithmetic Architecture)

  • 이강환
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2006년도 하계종합학술대회
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    • pp.631-632
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    • 2006
  • In this paper, acquiring the more desirable to adopt design SoC for the fast hierarchical motion estimation, we exploit foreground and background search algorithm (FBSA) base on the dual arithmetic processor element(DAPE). It is possible to estimate the large search area motion displacement using a half of number PE in general operation methods. And the proposed architecture of MHME improve the VLSI design hardware through the proposed FBSA structure with DAPE to remove the local memory. The proposed FBSA which use bit array processing in search area can improve structure as like multiple processor array unit(MPAU).

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ZigBee 네트워크의 계층적 라우팅의 성능 향상을 위한 알고리즘 (An Algorithm for Improving Hierarchical Routing in ZigBee Networks)

  • 하재열;신수용;최재영;이종욱;김남훈;권욱현
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2006년도 하계종합학술대회
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    • pp.11-12
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    • 2006
  • An algorithm to improve the efficiency of the hierarchical routing in ZigBee Networks is proposed. By forwarding the data to the nearest neighbor in the hierarchy, more efficient path can be achieved without any control and memory overhead. Simulation results shows the proposed algorithm provides about 20% shorter path.

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가중특징 Mahalanobis거리를 이용한 마이크 어레이 음석인식의 성능향상 (Performance Improvement of Microphone Array Speech Recognition Using Features Weighted Mahalanobis Distance)

  • ;정현열
    • The Journal of the Acoustical Society of Korea
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    • 제29권1E호
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    • pp.45-53
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    • 2010
  • In this paper, we present the use of the Features Weighted Mahalanobis Distance (FWMD) in improving the performance of Likelihood Maximizing Beamforming (Limabeam) algorithm in speech recognition for microphone array. The proposed approach is based on the replacement of the traditional distance measure in a Gaussian classifier with adding weight for different features in the Mahalanobis distance according to their distances after the variance normalization. By using Features Weighted Mahalanobis Distance for Limabeam algorithm (FWMD-Limabeam), we obtained correct word recognition rate of 90.26% for calibrate Limabeam and 87.23% for unsupervised Limabeam, resulting in a higher rate of 3% and 6% respectively than those produced by the original Limabearn. By implementing a HM-Net speech recognition strategy alternatively, we could save memory and reduce computation complexity.