• 한국IT서비스학회지
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• 제22권6호
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• pp.1-15
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• 2023

This study compares and analyzes the legal systems of Korea, the European Union, China, and the United States based on the disclosure principles and processing policies for personal data processing and provides references for seeking improvements in our legal system. Furthermore, this research aims to suggest institutional implications to overcome data transfer limitations in the upcoming digital economy. Findings on a comparative analysis of the relevant legal systems for disclosing privacy policies in four countries showed that Korea's privacy policy is under the eight principles of privacy proposed by the OECD. However, there are limitations in the current situation where personal information is increasingly transferred overseas due to direct international trade e-commerce. On the other hand, the European Union enacted the General Data Protection Regulation (GDPR) in 2016 and emphasized the transfer of personal information under the Privacy Policy. China also showed differences in the inclusion of required items in its privacy policy based on its values and principles regarding transferring personal information and handling sensitive information. The U.S. CPRA amended §1798.135 of the CCPA to add a section on the processing of sensitive information, requiring companies to disclose how they limit the use of sensitive information and limit the use of such data, thereby strengthening the protection of data providers' rights to sensitive information. Thus, we should review our privacy policies to specify detailed standards for the privacy policy items required by data providers in the era of digital economy and digital commerce. In addition, privacy-related organizations and stakeholders should analyze the legal systems and items related to the principles of personal data disclosure and privacy policies in major countries so that personal data providers can be more conveniently and accurately informed about processing their personal information.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제14권8호
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• pp.3399-3419
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• 2020

In the Vehicular Ad-hoc Network (VANET), the data transmission of time-sensitive applications requires low latency, such as accident warnings, driving guidance, etc. However, frequent changes of topology in VANET will result in data transmission failures. In order to improve the efficiency of VANETs data transmission and increase the timeliness of data, this paper proposes a relay scheme based on Recurrent Neural Network (RNN) trajectory prediction, which can be used to select the optimal relay vehicle to transmit data. The proposed scheme learns vehicle trajectory in a distributed manner and calculates the predicted trajectory, and then the optimal vehicle can be selected to complete the data transmission, which ensures the timeliness of the data. Finally, we carry out a set of simulations to demonstrate the performance of the algorithm. Simulation results show that the proposed scheme enhances the timeliness of the data and the accuracy of the predicted driving trajectory.

• Journal of the Korean Data and Information Science Society
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• 제17권4호
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• pp.1237-1250
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• 2006

In this paper we develop the web-based unified randomized response system for obtaining more reliable response to the sensitive characteristic such as a crime of violence at home, and a bribing and so on. This survey system embody to apply with from the classical to recently research, for example from the Warner's model to the 2-stage model. In addition, our survey system is able to link between the typical and the randomized response system. Finally, our survey system looks into a variation according to various sensitive questions as well as it can be used for a single question.

• 정보처리학회논문지D
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• 제18D권3호
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• pp.169-178
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• 2011

최근 기업 간 또는 기관 사이의 데이터 공유는 업무 협력을 위해서 필요한 사안이 되고 있다. 이 과정에서 기업이 데이터베이스를 계열회사에 공개했을 때 민감한 정보가 유출되는 문제점이 발행할 수도 있다. 이런 문제를 해결하기 위해서 민감한 정보를 데이터베이스로부터 숨기는 일이 필요하게 되었다. 민감한 정보를 숨기는 이전 연구들은 결과 데이터베이스의 품질을 유지하기 위해 다른 휴리스틱 알고리즘을 적용했다. 그러나 민감한 정보를 숨기는 과정에서 변경되는 항목집합에 대한 영향을 평가하거나 숨겨지는 항목을 최소화하는 연구들은 미흡하였다. 본 논문에서는 민감한 빈발 항목집합을 숨기기 위하여 FP-Tree(Frequent Pattern Tree)기반의 확장 빈발 패턴트리(Extended Frequent Pattern Tree, eFP-Tree)를 제안한다. eFP-Tree의 노드 구성은 기존과는 다르게 빈발 항목집합 생성단계에서 트랜잭션 정보와 민감 정보, 경계 정보를 모두 구성하며, 숨기는 과정에서 비민감한 빈발 항목집합의 영향을 최소화하기 위하여 경계를 사용하였다. 본 논문의 예시 트랜잭션 데이터베이스에 eFP-Tree를 적용한 결과, 손실 항목을 평균 10%이하로 최소화하여 기존 방법들에 비해 효과적임을 증명하였고, 데이터베이스의 품질을 최적으로 유지할 수가 있었다.

• 한국염색가공학회지
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• 제20권6호
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• pp.63-68
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• 2008

The hand of the sensitive mixture fabrics was analysed and discussed with measured mechanical properties of two kinds of woven fabrics according to the characteristics of air-jet loom. The 16 mechanical properties such as tensile, bending, shear, compression and surface were measured using KES-FB system and their differences of the mechanical properties between domestic and foreign looms were analysed with the deviation according to the position of the specimen. And also these mechanical properties according to the domestic and Japan air-jet looms were analysed and discussed with warp and weft insertion tensions during weaving. This research is aiming to make a data base of fabric mechanical properties and, these analysed data are given to weaver as a basic research data related to the effects of loom characteristics to the sensitive mixture fabrics required from weaving fields.

• 한국멀티미디어학회논문지
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• 제20권2호
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• pp.371-381
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• 2017

The performance of the statistical context-sensitive spelling error correction depends on the quality and quantity of the data for statistical language model. In general, the size and quality of data in a statistical language model are proportional. However, as the amount of data increases, the processing speed becomes slower and storage space also takes up a lot. We suggest the improved statistical language model to solve this problem. And we propose an effective spelling error candidate generation method based on a new statistical language model. The proposed statistical model and the correction method based on it improve the performance of the spelling error correction and processing speed.

• Journal of the Optical Society of Korea
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• 제11권3호
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• pp.108-112
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• 2007

Spectroscopic ellipsometry (SE) has become an important tool in scatterometry based nano-structure 3D profiling. In this paper, we propose a novel 3D nano object recognition method by use of phase sensitive scatterometry. We claims that only phase sensitive scatterometry can provide a reasonable 3D nano-object recognition capability since phase data gives much higher sensitive 3D information than amplitude data. To show the validity of this approach, first we generate various $0^{th}$ order SE spectrum data ($\psi$ and ${\Delta}$) which can be calculated through rigorous coupled-wave analysis (RCWA) algorithm and then we calculate correlation values between a reference spectrum and an object spectrum which is varied for several different object 3D shape.

• BMB Reports
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• 제36권5호
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• pp.427-432
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• 2003

Jute is the principal coarse fiber for commercial production and use in Bangladesh. Therefore, the development of a high-yielding and environmental-stress tolerant jute variety would be beneficial for the agro economy of Bangladesh. Two molecular fingerprinting techniques, random-amplified polymorphic DNA (RAPD) and amplified-fragment length polymorphism (AFLP) were applied on six jute samples. Two of them were cold-sensitive varieties and the remaining four were cold-tolerant accessions. RAPD and AFLP fingerprints were employed to generate polymorphism between the cold-sensitive varieties and cold-tolerant accessions because of their simplicity, and also because there is no available sequence information on jute. RAPD data were obtained by using 30 arbitrary oligonucleotide primers. Five primers were found to give polymorphism between the varieties that were tested. AFLP fingerprints were generated using 25 combinations of selective-amplification primers. Eight primer combinations gave the best results with 93 polymorphic fragments, and they were able to discriminate the two cold-sensitive and four cold-tolerant jute populations. A cluster analysis, based on the RAPD and AFLP fingerprint data, showed the population-specific grouping of individuals. This information could be useful later in marker-aided selection between the cold-sensitive varieties and cold-tolerant jute accessions.

• Asian Journal of Innovation and Policy
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• 제11권1호
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• pp.69-86
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• 2022

This study examines performances and varieties of export of IP sensitive products across emerging countries, namely, India and China by utilizing 6-digit disaggregated product-level export data. Further, this study constructs trade margins - extensive and intensive margins to understand trade potential and different trade patterns, specifically, exporters' productivity, product diversification, and volume of trade during 2007-2016. This study finds India's performance is comparable with China at the extensive margin though the gap between India and China is very wide in terms of the total value of exports and the intensive margin. China majorly exports more expensive electronics and manufacturing-related products as opposed to relatively cheaper medicinal and synthetic products, the total value of exports from China to the rest of the world is much higher than that of India. This study suggests that India is exporting IP-sensitive products to lower-income countries sufficiently, but the IP-sensitive exports to higher-income countries are still lagging.

• 한국통신학회논문지
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• 제29권10B호
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• pp.866-879
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• 2004

본 연구논문에서는 소비자의 서비스 품질에 따른 지불의사를 고려하여 음성/데이터 통합 이동통신서비스 제공업자의 수익을 극대화시키는 최적 가격을 결정하는 모델을 제시한다. 특히 고려되는 음성서비스 및 데이터서비스의 가격방식은 현재 우리나라 이동통신서비스의 회선요금제와 패킷요금제를 각각 적용한다. 이 모델은 소비자들이 핸드오프도중 발생하는 통화단절에 매우 민감하게 반응한다는 가정하에, 기지국이 무선채널을 할당함에 있어서 핸드오프 트래픽만이 독점사용할 수 있는 가드채널을 할당하는 방안을 고려하며, 더불어 서비스제공업자가 통화단절율의 서비스 품질을 소비자군에게 보장하는 경우를 고려한다. 궁극적으로 이 모델은 단기적으로 가격전략 및 무선채널 할당정책에 의존하여 서비스 품질을 개선$.$보장할 수 있는 방안을 제시하며, 그 결과 시스템자원의 확충없이는 수익과 서비스 품질의 개선$.$보장간에 상충관계가 존재함을 보여준다.