• 제목/요약/키워드: experimental market method

검색결과 132건 처리시간 0.027초

Similarity-Based Patch Packing Method for Efficient Plenoptic Video Coding in TMIV

  • Kim, HyunHo;Kim, Yong-Hwan
    • 한국방송∙미디어공학회:학술대회논문집
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    • 한국방송∙미디어공학회 2022년도 하계학술대회
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    • pp.250-252
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    • 2022
  • As immersive video contents have started to emerge in the commercial market, research on it is required. For this, efficient coding methods for immersive video are being studied in the MPEG-I Visual workgroup, and they released Test Model for Immersive Video (TMIV). In current TMIV, the patches are packed into atlas in order of patch size. However, this simple patch packing method can reduce the coding efficiency in terms of 2D encoder. In this paper, we propose patch packing method which pack the patches into atlases by using the similarity of each patch for improving coding efficiency of 3DoF+ video. Experimental result shows that there is a 0.3% BD-rate savings on average over the anchor of TMIV.

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금융시장 예측을 위한 시계열자료의 변환기법 융합을 이용한 패턴 모델 결정 (Determination of Pattern Models using a Convergence of Time-Series Data Conversion Technique for the Prediction of Financial Markets)

  • 전진호;김민수
    • 디지털융복합연구
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    • 제13권5호
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    • pp.237-244
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    • 2015
  • 수출주도정책, FTA 체결 및 규제개선 등과 같은 다양한 시장지향적인 정책을 통해 경제시장의 규모가 지속적으로 커졌다. 이에 따라 올바른 의사결정을 위하여 경제시장을 정확하게 분석, 예측하는 문제가 중요한 이슈가 되었다. 경제시장을 표현하는 여러 지표 중 가장 대표적인 주식지표의 정확한 분석 및 의사결정을 위하여 시계열자료의 모델링에 적합한 은닉마아코프모델을 토대로 자료 내에 내재된 예외적인 특징과 잡음을 제거하기 위한 변환기법의 융합모델을 제안하여 모델 추정과 예측 문제에 적용하였으며 그 유효성을 확인하였다. 실험 결과를 통해, 본 연구에서 제안하는 변환조합을 적용하는 모델추정 기법이 유효한 모델 상태 추정 결과를 보여주었으며 실제 코스피지수와 예측의 문제에서도 매우 유사한 운동양태를 확인할 수 있었다.

시뮬레이션 기반의 컨테이너터미널 생산성측정 전략 (The Simulation-based Strategy of Measuring Productivities in the Container Terminal)

  • 박병인
    • 한국항만경제학회지
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    • 제18권1호
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    • pp.43-60
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    • 2002
  • Apart from the DEA method, the traditional measuring systems of container terminal productivities generally bring to light the partial productive efficiencies, because they evaluate only the productivity of each individual facility. However, these methods do not play roles of the reasonable productivity measures to compare and evaluate the efficiencies of terminals to meet the requirement of terminal customers like as shipping lines, shippers, etc. with the cutthroat competition in container handling market. As the suppliers of service, the terminals struggle to cope with the needs of buyers' markets due to the lack of suitable criteria to measure the efficiencies. Therefore, this paper uses the simulation approach to reveal which strategies enhance the productivities through the container terminal analysis. An additional intent of this paper is to build the active strategies to present what the experimental indexes like as norm-time exactness ratio, norm-time excess ratio, etc. compare between terminals to measure the total productivities for the age of global supply chain management. However, the experimental productivity indexes presented in this paper require a validation of the exact usefulness, by consideration from all angles in the future, and a development to more reasonable measuring method/indexes for the container terminal productivities.

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다양한 환경에 강인한 컬러기반 실시간 손 영역 검출 (Color-Based Real-Time Hand Region Detection with Robust Performance in Various Environments)

  • 홍동균;이동화
    • 대한임베디드공학회논문지
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    • 제14권6호
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    • pp.295-311
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    • 2019
  • The smart product market is growing year by year and is being used in many areas. There are various ways of interacting with smart products and users by inputting voice recognition, touch and finger movements. It is most important to detect an accurate hand region as a whole step to recognize hand movement. In this paper, we propose a method to detect accurate hand region in real time in various environments. A conventional method of detecting a hand region includes a method using depth information of a multi-sensor camera, a method of detecting a hand through machine learning, and a method of detecting a hand region using a color model. Among these methods, a method using a multi-sensor camera or a method using a machine learning requires a large amount of calculation and a high-performance PC is essential. Many computations are not suitable for embedded systems, and high-end PCs increase or decrease the price of smart products. The algorithm proposed in this paper detects the hand region using the color model, corrects the problems of the existing hand detection algorithm, and detects the accurate hand region based on various experimental environments.

Multi-Area Unit Commitment with Bilateral Contract Approach in Deregulated Electricity Market

  • Selvi, S.Chitra;Devi, R.P.Kumudini;Rajan, C.Christober Asir
    • Journal of Electrical Engineering and Technology
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    • 제4권3호
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    • pp.346-352
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    • 2009
  • The eventual goal of this paper is to help the generating companies and load-serving entities to choose appropriate relative levels of interconnected system versus bilateral trades while considering risk, and economic performance. In competitive power markets, electricity prices are determined by balance between demand and supply in electric power exchanges or bilateral contracts. The problem formulation is bilateral contract incorporated into Multi-area unit commitment with import/export and tie-line constraints. This proposed method considers maximizing own profit or minimize the operating cost among the generating companies in multi-area system. The feasibility of the proposed algorithm has been demonstrated using IEEE system with four areas and experimental results shows that proposed method is reliable, fast and computationally efficient

Solution to Some Key Problems of Self-exciting Electronic Ballast

  • Mao, Peng;Zhang, Weiping;Zhang, Mao
    • Transactions on Electrical and Electronic Materials
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    • 제15권1호
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    • pp.1-6
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    • 2014
  • Self-exciting electronic ballast, of small size, and low cost, and high power, with no stroboscopic effect, no noise, is widely used in the general lighting market. This paper describes the cause of high switching loss of self-exciting electronic ballast, based on its operational principle; then, to reduce the switch temperature and increase the reliability of the product, the drive circuit has been improved, to achieve soft-switching. The theory analysis, simulation and experimental result prove the feasibility and compatibility of this new method in practice. Finally, the design procedure and winding method of the self-exciting current transformer are introduced.

신원 확인을 위한 멀티 태스크 네트워크 (Multi-Task Network for Person Reidentification)

  • 조종경;이효종
    • 한국정보처리학회:학술대회논문집
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    • 한국정보처리학회 2019년도 춘계학술발표대회
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    • pp.472-474
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    • 2019
  • Because of the difference in network structure and loss function, Verification and identification models have their respective advantages and limitations for person reidentification (re-ID). In this work, we propose a multi-task network simultaneously computes the identification loss and verification loss for person reidentification. Given a pair of images as network input, the multi-task network simultaneously outputs the identities of the two images and whether the images belong to the same identity. In experiments, we analyze the major factors affect the accuracy of person reidentification. To address the occlusion problem and improve the generalization ability of reID models, we use the Random Erasing Augmentation (REA) method to preprocess the images. The method can be easily applied to different pre-trained networks, such as ResNet and VGG. The experimental results on the Market1501 datasets show significant and consistent improvements over the state-of-the-art methods.

시판 유방 확대 수술 환자용 브래지어의 착의 평가 (A Study on the Brassiere Wearing Evaluation for Augmentation of Mammaplasty Patients)

  • 이경화;남영란
    • 한국의류학회지
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    • 제42권5호
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    • pp.737-752
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    • 2018
  • The frequency of breast augmentation surgery continues to increase annually; however, the method of follow-up care varies from hospital to hospital. In particular, many different types of post-operative bras are available in the market. This study evaluated the wearing comfort of various commercial bras that were worn immediately after breast enlargement surgery prior to the manufacture of the bra. According to interviews of medical professionals and market research, five types of brassiere were selected and evaluated by wearing satisfaction, functional performance, and an external appearance test for 6 subjects with breast augmentation surgery. The evaluation questionnaires were based on a 5 point Likert scale with data analyzed using SPSS 20.0. The study results revealed that the bra with the highest degree of satisfaction was CNB (without bra cup) type. However, the use of CNB type showed dissatisfaction in functional evaluation questions regarding breast shaking and material & tactile sensation. In the future, it is necessary to develop a new post-operative brassiere based on a CNB type bra that showed the best evaluation. However, it is also necessary to identify the merits of the other four experimental bras and reflect these advantages.

만화수용자 분석을 위한 연구방법론 (Methodology for Analysis of Comics Audience)

  • 한창완
    • 만화애니메이션 연구
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    • 통권9호
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    • pp.80-93
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    • 2005
  • 이 논문은 한국만화시장의 현황분석을 전제로, 국내 만화수용자 연구의 필요성을 제기하고, 만화수용자연구의 차별적인 연구방법론 제시를 통해 국내만화시장의 대안을 제시하는 연구이다. 기존 조사 연구되었던 만화수용자 연구성과를 토대로 변화하는 만화수용자의 현황을 체계적으로 분석할 수 있는 연구의 틀을 문화연구의 수용자론에 근거하여 제시한다. 그리고, 그러한 이론적 연구를 통해 급변하고 있는 만화의 패러다임의 변화에 맞춘 수용자의 환경분석과 수용행태분석의 틀을 마련하자는 것이다. 현재 국내 만화수용자는 이미 만화에 대한 적극적인 소비행위를 시도하고 있으며, 보다 다양한 시장접근방식을 통해 만화상품의 정보와 만화를 통해 시도할 수 있는 개인적 사회참여를 의도하고 있다. 그러한 수용자의 기호와 수용행태를 분석하는 것이 만화기획에 필요한 사전단계이며, 연구방법론이 필요한 이유이다.

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The Impact of Debt on Corporate Profitability: Evidence from Vietnam

  • NGO, Van Toan;TRAM, Thi Xuan Huong;VU, Ba Thanh
    • The Journal of Asian Finance, Economics and Business
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    • 제7권11호
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    • pp.835-842
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    • 2020
  • The study aims to investigate the impact of debt on corporate profitability in the context of Vietnam. The paper investigates the impact of debt on corporate profitability in non-finance listed companies on the Vietnam stock market. The panel data of the research sample includes 118 non-financial listed companies on the Vietnam stock market for a period of nine years, from 2009 to 2017. The Generalized Method of Moments (GMM) is employed to address econometric issues and to improve the accuracy of the regression coefficients. In this research, corporate profitability is measured as the return of EBIT on total assets. The debt ratio is a ratio that indicates the proportion of a company's debt to its total assets. Firm sizes, tangible assets, growth rate, and taxes are control variables in the study. The empirical results show that debt has a statistically significant negative effect on corporate profitability. The result also shows this effect is stronger in a non-linear (concave) way, we show that the debt ratio has nonlinear effects on corporate profitability. From this, experimental evidence shows that the optimal debt ratio is 38.87%. This evidence provides a new insight to managers of the non-finance companies on how to improve the firm's profitability with debt.