• 한국수학교육학회지시리즈A:수학교육
• /
• 제31권1호
• /
• pp.39-48
• /
• 1992

• 한국정보기술학회논문지
• /
• 제17권12호
• /
• pp.125-134
• /
• 2019

인공지능 기술은 작동과정에 대한 투명성이 보장되지 않는 수동적 인식 영역에 제한되는 한계점으로 인해, AI가 학습하는 데이터에 의존적인 취약점을 갖는다. 인공지능 학습을 위한 원시데이터는 AI 학습의 고도화를 위한 데이터 품질 확보를 위해 수작업으로 가공과 검수를 해야 하기에 인적 오류가 내재되어 있으며, 데이터의 훼손, 불완전함, 원시데이터와의 차이 등으로 인해 가공데이터를 통한 AI 학습 시 예상 치 못한 결과값을 도출할 수 있다. 이에 본 연구에서는 사이버 보안 관점에서의 접근을 통한 AI 학습데이터의 부정확한 사례 및 사이버보안 공격 방법 분석을 통해 기계학습 전 학습데이터 관리의 필요성을 살펴보고, 학습 데이터 무결성 검증을 위해 블록체인 기반의 학습데이터 환경 모델인 Data-preserving 인공지능 시스템 구축 방향을 제시한다. Data-preserving AI 학습환경 모델은 AI 학습데이터 제공 전 변조되지 않은 데이터로 학습됨을 보장 하여 데이터 가공 시 및 원시데이터 수집을 위한 오픈 네트워크에서의 데이터 제공 및 활용 시 있을 수 있는 사이버 공격, 데이터 변질 등의 위협을 사전에 방지할 수 있을 것으로 기대된다.

• ETRI Journal
• /
• 제32권3호
• /
• pp.351-361
• /
• 2010

Multiple rotation-based transformation (MRBT) was introduced recently for mitigating the apriori-knowledge independent component analysis (AK-ICA) attack on rotation-based transformation (RBT), which is used for privacy-preserving data clustering. MRBT is shown to mitigate the AK-ICA attack but at the expense of data utility by not enabling conventional clustering. In this paper, we extend the MRBT scheme and introduce an augmented rotation-based transformation (ARBT) scheme that utilizes linearity of transformation and that both mitigates the AK-ICA attack and enables conventional clustering on data subsets transformed using the MRBT. In order to demonstrate the computational feasibility aspect of ARBT along with RBT and MRBT, we develop a toolkit and use it to empirically compare the different schemes of privacy-preserving data clustering based on data transformation in terms of their overhead and privacy.

• International Journal of Computer Science & Network Security
• /
• 제23권11호
• /
• pp.110-116
• /
• 2023

Data confidentiality refers to the characteristic that information kept undisclosed or hidden from unauthorized parties. It considered a key security requirement in current supply chain management (SCM) systems. Currently, academia and industry tend to adopt blockchain and IoT technologies in order to develop efficient and secure SCM systems. However, providing confidential data sharing among these technologies is quite challenging due to the limitations associated with blockchain and IoT devices. This review paper illustrates the importance of preserving data confidentiality in SCM systems by highlighting the state of the art on confidentiality-preserving methodologies in the context of blockchain based IoT-SCM systems and the challenges associated with it.

• International Journal of Fuzzy Logic and Intelligent Systems
• /
• 제15권1호
• /
• pp.35-44
• /
• 2015

The main purpose of image enhancement is to improve certain characteristics of an image to improve its visual quality. This paper proposes a method for image contrast enhancement that can be applied to both medical and natural images. The proposed algorithm is designed to achieve contrast enhancement while also preserving the local image details. To achieve this, the proposed method combines local image contrast preserving dynamic range compression and contrast limited adaptive histogram equalization (CLAHE). Global gain parameters for contrast enhancement are inadequate for preserving local image details. Therefore, in the proposed method, in order to preserve local image details, local contrast enhancement at any pixel position is performed based on the corresponding local gain parameter, which is calculated according to the current pixel neighborhood edge density. Different image quality measures are used for evaluating the performance of the proposed method. Experimental results show that the proposed method provides more information about the image details, which can help facilitate further image analysis.

• 한국콘텐츠학회논문지
• /
• 제9권5호
• /
• pp.293-303
• /
• 2009

본 논문은 북한산국립공원의 관광자원에 대한 소중한 가치보전에 관한 고찰을 통해 문제점과 개선방안에 대한 연구를 진행했다. 가치보전에 관한 고찰(考察)에서 국립공원 관리 실태에 대한 선진외국의 경험을 사례로 탐색했으며 이러한 탐색의 결과를 북한산국립공원에 접목하여 보다 발전된 형태의 보전관리를 통해 북한산국립공원이 가지고 있는 가치를 지속해 나가는데 초점을 맞추었다. 또한 현재 북한산국립공원의 현황을 탐색하여 문제점에 대한 개선방안을 제시했으며 이에 대한 실증조사에서 전문가와 일대일 면접을 통해 전문가의견을 도출해 냈다. 본 논문이 자연이 준 우리의 위대한 유산인 북한산 국립공원의 가치를 보전하는데 기여가 되기를 기대한다.

• International Journal of Computer Science & Network Security
• /
• 제23권10호
• /
• pp.81-88
• /
• 2023

In the present scenario, enormous amounts of data are produced every second. These data also contain private information from sources including media platforms, the banking sector, finance, healthcare, and criminal histories. Data mining is a method for looking through and analyzing massive volumes of data to find usable information. Preserving personal data during data mining has become difficult, thus privacy-preserving data mining (PPDM) is used to do so. Data perturbation is one of the several tactics used by the PPDM data privacy protection mechanism. In Perturbation, datasets are perturbed in order to preserve personal information. Both data accuracy and data privacy are addressed by it. This paper will explore and compare several perturbation strategies that may be used to protect data privacy. For this experiment, two perturbation techniques based on random projection and principal component analysis were used. These techniques include Improved Random Projection Perturbation (IRPP) and Enhanced Principal Component Analysis based Technique (EPCAT). The Naive Bayes classification algorithm is used for data mining approaches. These methods are employed to assess the precision, run time, and accuracy of the experimental results. The best perturbation method in the Nave-Bayes classification is determined to be a random projection-based technique (IRPP) for both the cardiovascular and hypothyroid datasets.

• Preventive Nutrition and Food Science
• /
• 제14권4호
• /
• pp.349-353
• /
• 2009

The effects of packaging materials on preserving the functional component of pine bud beverage stored under UV (ultraviolet) light exposure conditions were studied. The order of UV light blocking properties of the selected packages was: opaque can> opaque PET (polyethylene terepthalate) with green lamination=transparent PET with 10% PEN (polyethylene naphthalate) blending> transparent PET, and did not depend on film thickness in specified range. At 20${^{\circ}C}$, the order of preserving degree of original color and endobornyl acetate, which is quality index of pine bud beverage, was the same as above. Exposure to UV light can cause of deterioration of functional food components, but green color lamination and blending of PEN materials with transparent PET help to preserve the UV sensitive pine bud beverage components. However, the treated PET bottles have poorer preservation capabilities than the opaque cans. Transparent PET with PEN blending, in particular, will be very useful packaging material for colorful functional beverage preservation by helping to protect the ingredients while attracting consumer attention.

• 한국정보디스플레이학회:학술대회논문집
• /
• 한국정보디스플레이학회 2004년도 Asia Display / IMID 04
• /
• pp.243-246
• /
• 2004

In this paper, we have proposed the contrast control method using brightness preserving on the FPD(Flat Panel Display). The proposed algorithms consist of three blocks: the contrast enhancement, the white-level-expander, and the black-level-expander. The proposed method has employed probability density function in order to control the brightness of the image changed extremely. In order for real-time processing, we have calculated cumulative density function using the linear approximation method. The image histogram and image quality were compared with the conventional image enhancement algorithms. The proposed methods have been used in display devices that need image enhancement such as LCD TV, PDP, and FPD.

• Journal of Electrical Engineering and information Science
• /
• 제2권4호
• /
• pp.92-98
• /
• 1997

This paper presents a new approach to obtaining a reduced-order model for multi-module converters. The proposed approach can be used to derive the reduced-order model for a wide class of multi-module converters including pulse-width-modulated (PWM) converters, soft-switched PWM converters, and resonant converters. The reduced-order model has the structure of a conventional single-module converter while preserving the dynamics of the original multi-module converter. Derivation procedures and the use of the reduced-order model is demonstrated using a three-module boost converter.