• 패션비즈니스
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• 제25권2호
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• pp.63-79
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• 2021

In order to expand the overseas market of the Korean fashion industry, it is necessary to investigate the fashion-related purchases and fashion consciousness of Muslim women, who are increasingly attracting attention as global fashion consumers. Therefore a survey was conducted to identify the fashion design preferences and fashion consciousness of Malaysian Muslim women. A total of 245 responses were collected and analyzed. The survey included questions on demographic characteristics, fashion product purchases, design preferences and environmental awareness. The data were analyzed through frequency, average and standard deviation. The analysis showed that the majority of respondents were young Malaysian Muslim women in their 20s and 30s. They preferred a modern, Sophisticated, and sporty image, and their preference for unpatterned fabrics was high. When choosing fashion products, these women seek to both pursue fashion trends and comply with Islamic laws. When the women buy clothes, they consider practicality and design elements. The women also collected fashion trend information through SNS and the Internet, and ues this information to purchase fashion products through the Internet and shopping malls. This study was based on a practical survey of local consumers. Therefore, it is expected that the results can be used as data for fashion-related studies and to expand overseas markets to reach Muslim women in Southeast Asia.

• 한국인터넷방송통신학회논문지
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• 제19권4호
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• pp.47-54
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• 2019

전세계적으로 기후 변화의 영향에 따른 차량 추돌 사고에 대한 위험성이 중요한 이슈로 등장하고 있다. 고속주행차량의 속도제한을 위해 다양한 형태의 속도제한 표시장치가 고려되고 있으나 현재는 대부분 고정식 속도제한 표시기를 사용하고 있다. 4계절이 뚜렷한 우리나라의 경우에는 비가 많이 오는 우기나 눈이 많이 오는 계절이나 안개가 많이 발생되는 경우에는 차량 추돌 사고를 방지하기 위한 차량 속도 감속 제한이 필요하지만 기존에 설치되어 있는 고정식 표지판으로는 사고를 미연에 방지하는 것이 어려운 실정이다. 본 연구에서는 레인 센서와 차량 와이퍼 시스템 등을 결합 시킨 기후 변화에 따른 차량 속도 제한이 가변적으로 표시되는 LED 전광판의 프로토타입 모델을 제작하였다. 내리는 비나 눈의 양에 따라 기준속도의 100%, 80%, 50%로 3단계로 가변 표시되는 속도제한 표시기는 설치되는 장소에 따라 적절한 속도를 선택 지정하여 표시할 수 있다. LED 표시장치를 이용한 시각적인 효과로 인해 운전자들이 사전에 속도를 감속하게 하여 차량 추돌 사고를 미연에 방지하는데 효과적으로 이용될 것으로 기대 된다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제16권12호
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• pp.4062-4080
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• 2022

COVID-19, a highly infectious disease, has affected the globe tremendously since its outbreak during late 2019 in Wuhan, China. In order to respond to the pandemic, governments around the world introduced a variety of public health measures including contact-tracing, a method to identify individuals who may have come into contact with a confirmed COVID-19 patient, which usually leads to quarantine of certain individuals. Like many other governments, the South Korean health authorities adopted public health measures using latest data technologies. Key data technology-based quarantine measures include:(1) Electronic Entry Log; (2) Self-check App; and (3) COVID-19 Wristband, and heavily relied on individual's personal information for contact-tracing and self-isolation. In fact, during the early stages of the pandemic, South Korea's strategy proved to be highly effective in containing the spread of coronavirus while other countries suffered significantly from the surge of COVID-19 patients. However, while the South Korean COVID-19 policy was hailed as a success, it must be noted that the government achieved this by collecting and processing a wide range of personal information. In collecting and processing personal information, the data minimum principle - one of the widely recognized common data principles between different data protection laws - should be applied. Public health measures have no exceptions, and it is even more crucial when government activities are involved. In this study, we provide an analysis of how the governments around the world reacted to the COVID-19 pandemic and evaluate whether the South Korean government's digital quarantine measures ensured the protection of its citizen's right to privacy.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제17권8호
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• pp.2124-2139
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• 2023

In this article, the authors focus on the use of smart CCTV, a combnation of biometric recognition technology and AI algorithms. In fact, the advancements in relevant technologies brought a significant increase in the use of biometric information - fingerprint, retina, iris or facial recognition - across diverse sectors. Both the public and private sectors, with the developments of biometric technology, widely adopt and use an individual's biometric information for different reasons. For instance, smartphone users highly count on biometric technolgies for the purpose of security. Public and private orgazanitions control an access to confidential information-controlling facilities with biometric technology. Biometric infomration is known to be unique and immutable in the course of one's life. Given the uniquness and immutability, it turned out to be as reliable means for the purpose of authentication and verification. However, the use of biometric information comes with cost, posing a privacy issue. Once it is leaked, there is little chance to recover damages resulting from unauthorized uses. The governments across the country fully understand the threat to privacy rights with the use of biometric information and AI. The EU and the United States amended their data protection laws to regulate it. South Korea aligned with them. Yet, the authors point out that Korean data aprotection law still requires more improvements to minimize a concern over privacy rights arising from the wide use of biometric information. In particular, the authors stress that it is necessary to amend Section (2) of Article 23 of PIPA to reflect the concern by changing the basis for permitting the processing of sensitive information from 'the Statutes' to 'the Acts'.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제17권3호
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• pp.958-979
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• 2023

Due to laws, regulations, privacy, etc., between 70-90 percent of providers do not share medical data, forming a "data island". It is essential to collaborate across multiple institutions without sharing patient data. Most existing methods adopt distributed learning and centralized federal architecture to solve this problem, but there are problems of resource heterogeneity and data heterogeneity in the practical application process. This paper proposes a collaborative deep learning modelling method based on the blockchain network. The training process uses encryption parameters to replace the original remote source data transmission to protect privacy. Hyperledger Fabric blockchain is adopted to realize that the parties are not restricted by the third-party authoritative verification end. To a certain extent, the distrust and single point of failure caused by the centralized system are avoided. The aggregation algorithm uses the FedProx algorithm to solve the problem of device heterogeneity and data heterogeneity. The experiments show that the maximum improvement of segmentation accuracy in the collaborative training mode proposed in this paper is 11.179% compared to local training. In the sequential training mode, the average accuracy improvement is greater than 7%. In the parallel training mode, the average accuracy improvement is greater than 8%. The experimental results show that the model proposed in this paper can solve the current problem of centralized modelling of multicenter data. In particular, it provides ideas to solve privacy protection and break "data silos", and protects all data.

• 인터넷정보학회논문지
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• 제25권2호
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• pp.11-19
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• 2024

This paper was studied abouta technology for detecting damage to temporary works equipment used in construction sites with explainable artificial intelligence (XAI). Temporary works equipment is mostly composed of steel or aluminum, and it is reused several times due to the characters of the materials in temporary works equipment. However, it sometimes causes accidents at construction sites by using low or decreased quality of temporary works equipment because the regulation and restriction of reuse in them is not strict. Currently, safety rules such as related government laws, standards, and regulations for quality control of temporary works equipment have not been established. Additionally, the inspection results were often different according to the inspector's level of training. To overcome these limitations, a method based with AI and image processing technology was developed. In addition, it was devised by applying explainableartificial intelligence (XAI) technology so that the inspector makes more exact decision with resultsin damage detect with image analysis by the XAI which is a developed AI model for analysis of temporary works equipment. In the experiments, temporary works equipment was photographed with a 4k-quality camera, and the learned artificial intelligence model was trained with 610 labelingdata, and the accuracy was tested by analyzing the image recording data of temporary works equipment. As a result, the accuracy of damage detect by the XAI was 95.0% for the training dataset, 92.0% for the validation dataset, and 90.0% for the test dataset. This was shown aboutthe reliability of the performance of the developed artificial intelligence. It was verified for usability of explainable artificial intelligence to detect damage in temporary works equipment by the experiments. However, to improve the level of commercial software, the XAI need to be trained more by real data set and the ability to detect damage has to be kept or increased when the real data set is applied.

• 정보화정책
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• 제25권3호
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• pp.29-51
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• 2018

제4차 산업혁명의 핵심기술인 사물인터넷기술의 발달로 인하여 다양한 서비스가 가능하게 되고, 그 과정에서 개인정보가 자유롭게 처리되게 되었다. 그러나 스마트기기를 비롯한 정보기기가 네트워크로 연결되면서 편리한 서비스가 제공될수록 개인정보 침해위협도 증가하고 있는 실정이다. 따라서, 본 연구는 다양한 사물인터넷서비스를 구현함에 있어서 안전한 환경을 구축하고, 그 가운데 유통되는 개인정보를 보호하기 위해 필요한 정책선정을 위한 중요도에 따른 우선순위를 분석하여 주요정책과제로 제언하고자 한다. 본 연구에서는 문헌조사를 바탕으로 개인정보보호정책지표들을 전문가대상의 델파이분석을 통해 3개 분야 9개 영역 25개 지표로 구성하였다. 이러한 개인정보보호정책지표들은 AHP기법의 설문조사로 66명 전문가들이 응답한 결과를 활용하여, 정책지표의 상대적 중요도 및 우선순위를 도출하였다. 그 결과, 개인정보보호정책분야에서는 정책적 분야, 기술적 분야, 관리적 분야 순으로 상대적 중요도 및 우선순위가 도출되었다. 또한, 정책적 분야를 구성하는 3개 영역 중에서는 IoT관련 개인정보보호법제도의 강화가 가장 중요하며, 정책지표 중에서는 IoT에서의 개인정보보호법률의 제 개정을 추진하는 것이 가장 중요하다고 응답하였다. 또한, 조사된 IoT개인정보보호정책의 분야 영역 지표에 대해 쌍대비교한 결과값은 일관성을 갖고 있었다. 이렇게 도출된 개인정보보호정책지표들은 앞으로 안전한 사물인터넷 정책을 추진하여 국가경쟁력을 이끄는데 기여하리라 본다.

• 통상정보연구
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• 제5권1호
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• pp.125-134
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• 2003

최근의 전자상거래의 급격한 발전으로 국제경제환경의 급속한 변화를 초래하고 있는데 특히 전통적 세제시스템의 경우에도 예외는 아니어서 전자상거래시스템에 적합한 세제시스템의 개발이 논의되고 있는 상황이다. 그러나 국제적으로 전자상거래와 관련한 세제시스템의 개발이 완성되지 않고 각국별 또는 국제회의에서 논의되고 있는 상황이라고 할 수 있다. 중국에 있어서 새로운 세제시스템을 개발하기 위해서는 우선 중국의 e-business의 성격의 파악하고 이에 근거한 세제시스템에 대한 대책을 마련해야 한다. 본 논문은 먼저 e-business의 특성과 e-business에서의 다양한 세제형태에 대하여 알아보고, 둘째 e-business에서의 세제현황 및 세제관련 법의 문제점을 고찰해 본다. 마지막으로, e-business의 발전과 더불어 야기되는 온라인 세제에 대한 몇 가지 제안 및 시사점을 제시한다.

• International journal of advanced smart convergence
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• 제8권4호
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• pp.9-15
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• 2019

The government has defined domestic violence as one of the four major social evils and tried to prepare laws and systems to prevent it. Nevertheless, domestic violence has emerged as a serious social issue, and compare to the number of domestic violence cases that are constantly increasing, the report rate of domestic violence is significantly lower. This suggests the need to improve citizens' perception of domestic violence as the issue to solve it together in society, not as a private matter at home. Most of existing contents for preventing domestic violence and improving awareness are simple viewing forms of video contents, which have little effect on recognition. We aim to confirm the possibility of improving social awareness about domestic violence by producing Virtual Reality (VR) contents that have great features of user's immersion and empathy. In this VR content, the user can interact with various objects in the virtual reality of domestic violence and directly or indirectly experience the victim's position. Users who view the violent environment from the victim's point of view can have a subjective empathy for the problem, which is expected to induce more active awareness about domestic violence.

• 한국컴퓨터정보학회논문지
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• 제19권10호
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• pp.117-124
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• 2014

S/W 개발 보안이란 안전한 SW 개발을 위해 잠재적인 보안취약점을 제거하고, 보안을 고려하여 기능을 설계 구현하는 등 SW 개발 과정에서 일련의 보안활동을 말한다. 본 논문에서는 우리에게 정신적, 금전적으로 상당한 피해를 주는 국내외 해킹 사례를 살펴보도록 한다. 웹 사이트 공격의 약 75%가 응용프로그램 즉, S/W의 취약점을 악용한 것임을 상기시킨다. 그리고 이러한 취약점들을 많이 가지고 있는 S/W 개발 보안의 주요 이슈들을 알아보도록 한다. 그리고 보안관련 법 제도 및 규정을 공공부분과 민간부분으로 나누어 제시하도록 한다. 그리고 보안관련 법 제도 및 규정의 세부 내역들을 예를 들어 나타내 보도록 한다.