• International Commerce and Information Review
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• v.8 no.1
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• pp.243-257
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• 2006

This study is to introduce the Chinese Contract Law against non-performance of the contract and to solve the wide range of problems involving to executing the trading contract. The parties' liability for the period of performance, the place of performance, the failure to deliver conforming goods together with it's nature of the lack of conformity, and the methods of compensation against damages and the force majeure clauses application. Those issues affect directly to commercial transactions in international business. The focus is more on the interrelationship of private individuals in its trade and on aiming to remove the legal obstacles from the Chinese Contract Law to freely flow of international trade. Reference may include foreign corrupt practices, Conventions on Contracts for the International Sale of Goods and Laws of England, France, and Japan. This study has brought the efforts of these issues in the full spectrum of performance and with concentrations on effectiveness to avoid the different viewpoints of the general principles of CISG and commercial practice founded pre-eminently. This study, in presenting the legal framework, will contribute to a better understanding of the purpose of rules of Chinese Contract -Law as they interact to the benefit of the parties involved in international trade transactions. The writer believes that a problem-oriented approach and the concentration as outlined above would offer a different perspective for law faculty teaching in this area and hope that this study can be sufficiently diverse to satisfy many of those views.

• Korean Journal of Radiology
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• v.24 no.7
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• pp.698-714
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• 2023

In recent years, artificial intelligence, especially object detection-based deep learning in computer vision, has made significant advancements, driven by the development of computing power and the widespread use of graphic processor units. Object detection-based deep learning techniques have been applied in various fields, including the medical imaging domain, where remarkable achievements have been reported in disease detection. However, the application of deep learning does not always guarantee satisfactory performance, and researchers have been employing trial-and-error to identify the factors contributing to performance degradation and enhance their models. Moreover, due to the black-box problem, the intermediate processes of a deep learning network cannot be comprehended by humans; as a result, identifying problems in a deep learning model that exhibits poor performance can be challenging. This article highlights potential issues that may cause performance degradation at each deep learning step in the medical imaging domain and discusses factors that must be considered to improve the performance of deep learning models. Researchers who wish to begin deep learning research can reduce the required amount of trial-and-error by understanding the issues discussed in this study.

• Journal of Multimedia Information System
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• v.9 no.3
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• pp.201-208
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• 2022

Customized service is a vital and mandatory element for apps in improving their technical performance and app customer analysis. While apps require users' consent for their data extraction and usage, many of the terms and agreement forms are written intricately, making it harder for users to fully understand the whole concept of users' data collection for customized services. Ever since the Facebook-Cambridge Analytica scandal, personal data privacy has been re-examined, forcing many app companies to reinforce a reliable solution to data privacy issues. However, there has not been a secured solution, which worries many people about the future advanced issues when metaverse platforms are actively used in daily apps. The research aims to collect the reactions and behaviors of everyday app users who utilize apps with customized services to understand the nature of privacy data issues and the users' opinions about the future implementation of metaverse platforms. The method of the research was an online questionnaire that targeted university students. The study revealed many fearful and anxious reactions about personal data and further metaverse issues where most app users were uneducated about how current apps collect and utilize users' private data.

• JSTS:Journal of Semiconductor Technology and Science
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• v.4 no.4
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• pp.263-268
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• 2004

In this paper, we motivate the post-mask performance enhancement technique combined with the Multi-Threshold Voltage CMOS (MTCMOS) leakage current suppression technology, and integrate the new design issues related to the MTCMOS technology into the ASIC design methodology. The issues include short-circuit current and sneak leakage current prevention. Towards validating the proposed techniques, a Personal Digital Assistant (PDA) processor has been implemented using the methodology, and a 0.18um process. The fabricated PDA processor operates at 333MHz which has been improved about 23% at no additional cost of redesign and masks, and consumes about 2uW of standby mode leakage power which could have been three orders of magnitude larger if the MTCMOS technology was not applied.

• 한국정보디스플레이학회:학술대회논문집
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• 2004.08a
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• pp.26-29
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• 2004

S-PVA is a new technology which enables screen quality advantages over S-IPS and MVA, including high transmittance, >1000:1 contrast ratio, sub-10ms response time, and wide angle of view with no off-axis image inversion and undetectable gamma distortion. This new technology will be described in detail. This paper also addresses the other remaining performance issues facing LCD-TV, including Samsung's plans for addressing these challenges. For example, until recently, inter-gray response time and associated motion blur were significant issues for achieving LCD-TV images quality. Samsung has invented DCC-II technology to achieve sub-10ms response time, and this achievement is described herein. Other technology advancements, including next-generation color performance and ultra-low black performance and improvement of off axis image quality are also discussed in this paper.

• Asian Journal of Business Environment
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• v.5 no.3
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• pp.29-31
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• 2015

Purpose - The purpose of this country analysis is to examine its current state: economically, politically, legally, and ethically, and look at small and medium Algerian businesses to identify any issues that could hinder economic and business performance and growth. Research Design, and Methodology - This is a case study, an analytical approach, which focuses on exploring and analyzing different aspects of Algeria. Results - Since 2008, the Algerian economy has experienced a relative slowdown due to falling oil and gas prices and the economic recessions of its main trading partners, in particular, European countries. Algeria has still not managed to diversify its economy or establish competitive industrialization at the international level; it has had difficulty shifting from its economic dependence on hydrocarbons. Algerian businesses continue to face obstacles and constraints, penalized in their performance and prevented from success in a dense and competitive global marketplace. Conclusion - The Algerian economy and Algerian businesses have shown positive performance and growth over the last few decades. However, issues exist that may hinder both business and economic progress in the future.

• 제어로봇시스템학회:학술대회논문집
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• 2000.10a
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• pp.211-211
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• 2000

The multiple targets tracking problem has been one of main issues in the radar applications area in the last decade. Besides the standard Kalman filtering, various methods including the variable dimension filter, input estimation filter, interacting multiple model (IMM) filter, federated variable dimension filter with input estimation, probable data association (PDA) filter etc. have been proposed to address the tracking and sensor fusion issues. In this paper, two existing tracking algorithms, i.e. the IMMPDA filter and the variable dimension filter with input estimation (VDIE), are combined for the purpose of improving the tracking performance of maneuvering targets in clutter. To evaluate the tracking performance of the proposed algorithm, three typical maneuvering patterns i.e. Waver, Pop-Up, and High-Diver motions, are defined and are applied to the modified IMMPDA filter considered as well as the standard IMM filter. The smaller RMS tracking errors, in position and velocity, of the modified IMMPDA filter than the standard IMM filter are demonstrated through computer simulations.

• Smart Media Journal
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• v.9 no.2
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• pp.78-85
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• 2020

This study aims to clarify the impact of environmental issues on sustainable environmental management performance through the establishment of internal and external networks and environmental management activities. As a result of analyzing 163 final collected data of companies, social environmental issues did not have a significant effect on the internal sharing system, but they had a significant positive effect on both regulatory response and cooperation network establishment. In addition, the regulatory response to the environment has a significant effect on both the internal sharing system, cooperation network establishment, and environmental management activities. Lastly, environmental management activities have a significant impact on sustainable environmental management performance, indicating that environmental issues are leading to environmental management activities and performance by promoting sustainable growth of companies.

• Proceedings of the Korean Magnestics Society Conference
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• 2012.11a
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• pp.90-90
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• 2012

• The Journal of the Korea Contents Association
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• v.18 no.10
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• pp.229-235
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• 2018

The purpose of this study is to propose a method to utilize Big Data Analysis to find policy issues of local governments in the reality that utilization of big data becomes increasingly important in efficient and effective policy making process. For this purpose, this study analyzed the 180,000 articles of Suwon city for the past three years and identified policy issues and evaluated policy priorities through IPA analysis. The results of this study showed that the analysis of semi-formal big data through newspaper articles is effective in deriving the differentiated policy issues of different local autonomous bodies from the main issues in the nation, In this way, the methodology of finding policy issues through the analysis of big data suggested in this study means that local governments can effectively identify policy issues and effectively identify the people. In addition, the methodology proposed in this study is expected to be applicable to the policy issues through the analysis of various semi - formal and informal big data such as online civil complaint data of the local government, resident SNS.