• 제목/요약/키워드: separability

검색결과 154건 처리시간 0.028초

CISG as a Governing Law to an Arbitration Agreement

  • Park, Eun-Ok
    • Journal of Korea Trade
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    • 제25권7호
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    • pp.108-121
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    • 2021
  • Purpose - This paper studies whether the CISG is applicable to the arbitration agreement when the validity of the arbitration agreement becomes an issue. To make the study clear, it limits the cases assuming that the governing law of the main contract is the CISG and the arbitration agreement is inserted in the main contract as a clause. Also, this paper discusses only substantive and formal validity of the arbitration agreement because the CISG does not cover the questions of the parties' capacity and arbitrability of the dispute. Design/methodology - This paper is based on scholarly writings and cases focusing on the principle of party autonomy, formation of contract and the doctrine of separability to discuss characteristic of arbitration agreement. In analyzing the cases, it concentrates on the facts and reasonings that show how the relative regulations and rules are interpreted and applied. Findings - The findings of this paper are; regarding substantive validity of arbitration agreement, the courts and arbitral tribunals consider general principles of law for the contract and the governing law for the main contract. In relation to formal validity of arbitration agreement, the law at the seat of arbitration or the law of the enforcing country are considered as the governing law in preference to the CISG because of the recognition and enforcement issues. Originality/value - This paper attempts to find the correlation between the CISG and the arbitration agreement. It studies scholars' writing and cases which have meaningful implication on this issue. By doing so, it can provide contracting parties and practitioners with some practical guidelines about the governing law for the arbitration agreement. Furthermore, it can help them to reduce unpredictability that they may confront regarding this issue in the future.

소비자중재합의의 미국계약법상 항변 (The U.S. Contract Law Defenses in Consumer Arbitration Agreement)

  • 하충룡
    • 한국중재학회지:중재연구
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    • 제20권2호
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    • pp.151-171
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    • 2010
  • This paper investigates the consumer arbitration practices In the U.S. The key issue in consumer arbitration is how to protect the individual consumers from the loss of their legal rights stemming from the arbitration agreement with the business. In the U.S., the major legal doctrines to protect individual consumer include the voluntary-knowing-intelligent doctrine, unconscionability doctrine, and void contract. Even though the US courts are favorable to the enforceability of arbitration agreement, they strictly apply the contract law theories in deciding the existence of arbitration agreement, providing a strong common law protection for the consumers in arbitration. However, the practices for protection of consumers in arbitration in Korea are not mature yet. If consumer arbitration is widely adopted into B to C contracts, a protective measure for individual consumer can be found in the Act of Clause Regulation providing that the business has duty to explain the relevant clause in the adhesive contracts.

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A new clustering algorithm based on the connected region generation

  • Feng, Liuwei;Chang, Dongxia;Zhao, Yao
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제12권6호
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    • pp.2619-2643
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    • 2018
  • In this paper, a new clustering algorithm based on the connected region generation (CRG-clustering) is proposed. It is an effective and robust approach to clustering on the basis of the connectivity of the points and their neighbors. In the new algorithm, a connected region generating (CRG) algorithm is developed to obtain the connected regions and an isolated point set. Each connected region corresponds to a homogeneous cluster and this ensures the separability of an arbitrary data set theoretically. Then, a region expansion strategy and a consensus criterion are used to deal with the points in the isolated point set. Experimental results on the synthetic datasets and the real world datasets show that the proposed algorithm has high performance and is insensitive to noise.

Performance of Human Skin Detection in Images According to Color Spaces

  • Kim, Jun-Yup;Do, Yong-Tae
    • 한국정보기술응용학회:학술대회논문집
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    • 한국정보기술응용학회 2005년도 6th 2005 International Conference on Computers, Communications and System
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    • pp.153-156
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    • 2005
  • Skin region detection in images is an important process in many computer vision applications targeting humans such as hand gesture recognition and face identification. It usually starts at a pixel-level, and involves a pre-process of color spae transformation followed by a classification process. A color space transformation is assumed to increase separability between skin classes and other classes, to increase similarity among different skin tones, and to bring a robust performance under varying imaging conditions, without any complicated analysis. In this paper, we examine if the color space transformation actually brings those benefits to the problem of skin region detection on a set of human hand images with different postures, backgrounds, people, and illuminations. Our experimental results indicate that color space transfomation affects the skin detection performance. Although the performance depends on camera and surround conditions, normalized [R, G, B] color space may be a good choice in general.

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기계시각을 이용한 박피 마늘 선별 알고리즘 개발 (I) - 베이즈 판별함수와 신경회로망에 의한 설별 정확도 비교 - (Development of Algorithms for Sorting Peeled Garlic Using Machnie Vison (I) - Comparison of sorting accuracy between Bayes discriminant function and neural network -)

  • 이상엽;이수희;노상하;배영환
    • Journal of Biosystems Engineering
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    • 제24권4호
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    • pp.325-334
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    • 1999
  • The aim of this study was to present a groundwork for development of a sorting system of peeled garlics using machine vision. Images of various garlic samples such as sound, partially defective, discolored, rotten and un-peeled were obtained with a B/W machine vision system. Sorting factors which were based on normalized histogram and statistical analysis(STEPDISC Method) had good separability for various garlic samples. Bayes discriminant function and neural network sorting algorithms were developed with the sample images and were experimented on various garlic samples. It was showed that garlic samples could be classified by sorting algorithm with average sorting accuracies of 88.4% by Bayes discriminant function and 93.2% by neural network.

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조립부품의 분리도및 불안정도를 이용한 Turning device의 설계에관한 연구

  • 신철균;조형석
    • 한국정밀공학회:학술대회논문집
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    • 한국정밀공학회 1993년도 춘계학술대회 논문집
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    • pp.257-261
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    • 1993
  • This paper presents a design method of turning device for robotic assembly based on the verification of a instability for a base assembly. To derive the instability, first we inference collision free assembly directions by extracting separable directions for the part, and calculate the separability which gives informations as to how the part can be dasily separated. Using the result, we determine the instability evaluated by summing the all separabilites of each component part in base assembly. The proposed method gives a design guidance of turning device by evaluating a degree of the motion istability for the base assembly in flexible manufacturing application. An example is given to illustrate the concepts and procedure of the proposed scheme.

Automated machinability checking for sculptured surface manufacture

  • Kim, Kwangsoo;Ko, Byungchul
    • 한국경영과학회:학술대회논문집
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    • 대한산업공학회/한국경영과학회 1992년도 춘계공동학술대회 발표논문 및 초록집; 울산대학교, 울산; 01월 02일 May 1992
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    • pp.299-308
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    • 1992
  • Determining tool-approach directions is an important issue when an effort is made to transfer CAD data into manufacturing automatically. An algorithm is developed to determine whether a given part can be machined on a three-axis milling machine. lf a set of feasible tool-approach directions exists for a sculptured surface, the NC tool path and G-codes for machining the surface on a three-axis milling machine can be generated automatically by an NC tool path generation algorithm. The algorithm can be used for orientation and fixturing of the workpiece for interference free machining. The algorithm can also be applied to checking the translational separability of polyhedral parts in automatic assembly.

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ANMM(Average Neighborhood Margin Maximization)에 기반한 피부색과 비피부색 분리력 향상 기법 (Skin and non-skin color separability enhancement based on Average Neighborhood Margin Maximization)

  • 반유석;이상윤
    • 한국방송∙미디어공학회:학술대회논문집
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    • 한국방송공학회 2011년도 하계학술대회
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    • pp.6-7
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    • 2011
  • 본 논문에서는 지역적 학습 방법을 활용하는 Average Neighborhood Margin Maximization(ANMM)에 기반하여 피부색과 비피부색 영역을 분리하는 이진 분류의 통계적 접근법을 제안한다. Fisher Linear Discriminant(FLD)와 Average Neighborhood Margin Maximization(ANMM)의 피부색과 비피부색 클래스 내 분산 대비 클래스 간 분산의 비교를 통해 두 클래스 간 분리력 변화를 확인한다. 교사(Supervised) 이진 분류문제에 대하여 Small sample size(SSS) 문제, 가우시안 분포 가정의 문제, 최대 추출 가능 특징 수 제한 문제 등을 해결함과 동시에, 지역적 특성 학습 방법의 도입을 통해 피부색과 비피부색 간 분리력을 향상시킨다.

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색상 불변값을 이용한 물체 괘적 추적 (Multiple Object Tracking using Color Invariants)

  • Choo, Moon Won;Choi, Young Mie;Hong, Ki-Cheon
    • 한국멀티미디어학회:학술대회논문집
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    • 한국멀티미디어학회 2002년도 추계학술발표논문집
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    • pp.101-109
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    • 2002
  • 본고에서는 움직이는 물체를 추적하는 알고리즘을 제시한다. 이미지의 색상에 대한 불변치를 활용하여 비디오 클립에서 물체 영역을 추출하고 co-occurrence matrix를 구한 후 인접 프레임 간의 대응되는 물체를 결정하여 물체의 괘적을 추적한다. 물체 영역에 적응되는 특징값들의 분리정도치를 활용하여 시스템의 성능을 향상시키는 방법과 실험 결과를 제시한다.

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A Real-Time Pattern Recognition for Multifunction Myoelectric Hand Control

  • Chu, Jun-Uk;Moon, In-Hyuk;Mun, Mu-Seong
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2005년도 ICCAS
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    • pp.842-847
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    • 2005
  • This paper proposes a novel real-time EMG pattern recognition for the control of a multifunction myoelectric hand from four channel EMG signals. To cope with the nonstationary signal property of the EMG, features are extracted by wavelet packet transform. For dimensionality reduction and nonlinear mapping of the features, we also propose a linear-nonlinear feature projection composed of PCA and SOFM. The dimensionality reduction by PCA simplifies the structure of the classifier, and reduces processing time for the pattern recognition. The nonlinear mapping by SOFM transforms the PCA-reduced features to a new feature space with high class separability. Finally a multilayer neural network is employed as the pattern classifier. We implement a real-time control system for a multifunction virtual hand. From experimental results, we show that all processes, including virtual hand control, are completed within 125 msec, and the proposed method is applicable to real-time myoelectric hand control without an operation time delay.

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