• KSII Transactions on Internet and Information Systems (TIIS)
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• 제11권5호
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• pp.2680-2700
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• 2017

Finite field arithmetic over GF($2^m$) is used in a variety of applications such as cryptography, coding theory, computer algebra. It is mainly used in various cryptographic algorithms such as the Elliptic Curve Cryptography (ECC), Advanced Encryption Standard (AES), Twofish etc. The multiplication in a finite field is considered as highly complex and resource consuming operation in such applications. Many algorithms and architectures are proposed in the literature to obtain efficient multiplication operation in both hardware and software. In this paper, a modified serial multiplication algorithm with interleaved modular reduction is proposed, which allows for an efficient realization of a sequential polynomial basis multiplier. The proposed sequential multiplier supports multiplication of any two arbitrary finite field elements over GF($2^m$) for generic irreducible polynomials, therefore made versatile. Estimation of area and time complexities of the proposed sequential multiplier is performed and comparison with existing sequential multipliers is presented. The proposed sequential multiplier achieves 50% reduction in area-delay product over the best of existing sequential multipliers for m = 163, indicating an efficient design in terms of both area and delay. The Application Specific Integrated Circuit (ASIC) and the Field Programmable Gate Array (FPGA) implementation results indicate a significantly less power-delay and area-delay products of the proposed sequential multiplier over existing multipliers.

• Tribology and Lubricants
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• 제38권4호
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• pp.128-135
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• 2022

In the product development process, the reliability of the product can be secured through durability tests. However, since the durability test method is expensive and time consuming, a method to save time and money by utilizing virtual product development (VPD) is required. However, research on the accuracy of the results of virtual product development is required. In this paper, an accelerated durability test was designed and conducted using a planetary gear decelerator. And an analysis model under the same conditions was created and simulated. To correlate the results of the experiment with the results of the analytical model, created a model that can discriminate the wear region using one of the data mining methods, the k-means algorithm method and HSV (Hue, Saturation, Value). The wear area is compared by counting the number of pixels defined as wear through a discrimination model. A similar ratio was calculated by comparing the pixel ratio of the area determined as wear in the entire area. It showed a similar ratio of about 70%, and it is necessary to improve the discrimination method.

• 한국식품조리과학회지
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• 제32권5호
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• pp.637-647
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• 2016

Purpose: This research was to understand the consumer awareness and consumption of natural carbonated drinks in Korea. Methods: A survey was conducted enrolling adults over the age of 20, residing in Seoul and its metropolitan area, and who consumed natural carbonated drinks. Data analysis of 544 valid samples was performed using SPSS 17.0. Results: The study showed that consumers mostly purchased natural carbonated water the most, primarily as a water substitute. However, many other usages that the consumer selected showed a possibility for a more versatile usages of natural carbonated drinks. As for the reason of purchase, 'interest in a new product' showed the highest mean value. The factor 'interest in a new product', 'interest in its effectiveness on skin care and diet', 'lower-calorie products', 'health benefits from the usage of natural flavoring and coloring' and 'recommendation from acquaintances' showed statistically significant higher values for women than men. The most frequent and preferred location for purchase were large discount stores, and the most preferred, major informants were in the order 'tasting events at marts and department stores', 'TV/radio advertisement' and 'recommendations from family/friends'. Analysis of the purchase intent showed high interest for non-alcoholic natural carbonated drinks. Conclusion: The study results can be used as baseline data to establish marketing strategies in the emerging natural carbonated beverage market.

• Journal of Korean Biological Nursing Science
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• 제22권2호
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• pp.81-89
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• 2020

Purpose: The purpose of this study was to investigate nutritional intake, body mass index (BMI) and depression, and to elucidate depression in relation to nutritional intake and BMI among Chinese college students studying in South Korea. Methods: A descriptive study design was adopted. Data were collected from 170 Chinese college students in South Korea June-August, 2019. In this study, 24-hour dietary records were obtained and BMI was measured. Nutrient intakes were calculated from the dietary records using the CAN-PRO software. Depression was assessed using the Center for Epidemiological Studies Depression Scale (CES-D). Results: Of 170 participants, 19 (11.2%) were underweight and 42 (24.7%) were overweight. Female, single, and non-smoking participants were underweight. There were 97 (57.1%) participants experiencing depression, and 99 (58.2%) consuming lower protein than the recommended nutrient intake resulting in insufficient nutrients. The intake of vitamin A, vitamin C, vitamin D, pantothenic acid, calcium, iron, and selenium was much lower than the standard. Depressive participants were significantly greater among the underweight participants and those consuming insufficient nutrients in terms of protein, pantothenic acid, and selenium. Conclusion: An intervention program is required to improve nutritional status, which should be a part of the strategies to manage depression for Chinese college students in South Korea.

• 가정과삶의질연구
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• 제3권1호
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• pp.1-13
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• 1985

The Purpose of this study is to investigate both the value consciousness of home management and home management activities which urban low-paid housewives have and to find out the value consciousness of home management has an influence upon the home management activities. The results obtained area as follows; 1) Most of urban low-paid housewives are place in a traditional position of home management as a housekeeper or as a family leader. 2)But partially they gave more or less modern standpoints in consuming, planning and family relationship. 3) The value consciousness of home management of urban low-paid housewives is variable according to housewives' age (P<.05), education (P<.001), numbers of children(P<0.5) and wording experiences before marriage (P<0.1). The younger respondonts showed rather modernistic value consciousness of home management. The respondonts who have high educational level showed the same result. It is also strong points form them to habe few children and to have working experiences before marriage. 4) while the home management activities of urban low-paid housewives are positive as for connecting with human relationship, consuming and evaluating they are negative as for connecting with planning, creativity and housekeeping. 5)On the whole, the home management activities are variable by housewives' age (P<.05). The younger showed more effective home management abilities. 6) the home management activities of urban low-paid housewives are influenced by the value consciousness of home management. The more modernistic value consciousness of home management is connected directed directly with excellent home management activities.

• International Journal of Advanced Culture Technology
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• 제10권2호
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• pp.240-245
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• 2022

Because of the importance of the information, encryption algorithms are heavily used. Raw data is encrypted and secure, but problems arise when the key for decryption is exposed. In particular, large-scale Internet sites such as Facebook and Amazon suffer serious damage when user data is exposed. Recently, research into a new fourth-generation encryption technology that can protect user-related data without the use of a key required for encryption is attracting attention. Also, data clustering technology using encryption is attracting attention. In this paper, we try to reduce key exposure by using homomorphic encryption. In addition, we want to maintain privacy through similarity measurement. Additionally, holistic similarity measurements are time-consuming and expensive as the data size and scope increases. Therefore, Min-Hash has been studied to efficiently estimate the similarity between two signatures Methods of measuring similarity that have been studied in the past are time-consuming and expensive as the size and area of data increases. However, Min-Hash allowed us to efficiently infer the similarity between the two sets. Min-Hash is widely used for anti-plagiarism, graph and image analysis, and genetic analysis. Therefore, this paper reports privacy using homomorphic encryption and presents a model for efficient similarity measurement using Min-Hash.

• 대한원격탐사학회지
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• 제38권6_4호
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• pp.1911-1923
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• 2022

The availability of high-resolution satellite images provides precise information without direct observation of the research target. Korea Multi-Purpose Satellite (KOMPSAT), also known as the Arirang satellite, has been developed and utilized for earth observation. The machine learning model was continuously proven as a good classifier in classifying remotely sensed images. This study aimed to compare the performance of the support vector machine (SVM) model in classifying the land cover of the Delaware River port area on high and medium-resolution images. Three optical images, which are KOMPSAT-2, KOMPSAT-3A, and Sentinel-2B, were classified into six land cover classes, including water, road, vegetation, building, vacant, and shadow. The KOMPSAT images are provided by Korea Aerospace Research Institute (KARI), and the Sentinel-2B image was provided by the European Space Agency (ESA). The training samples were manually digitized for each land cover class and considered the reference image. The predicted images were compared to the actual data to obtain the accuracy assessment using a confusion matrix analysis. In addition, the time-consuming training and classifying were recorded to evaluate the model performance. The results showed that the KOMPSAT-3A image has the highest overall accuracy and followed by KOMPSAT-2 and Sentinel-2B results. On the contrary, the model took a long time to classify the higher-resolution image compared to the lower resolution. For that reason, we can conclude that the SVM model performed better in the higher resolution image with the consequence of the longer time-consuming training and classifying data. Thus, this finding might provide consideration for related researchers when selecting satellite imagery for effective and accurate image classification.

• 한국식생활문화학회지
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• 제23권6호
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• pp.779-792
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• 2008

The consumption of a wide variety of food groups is considered one of the key components of nutritional adequacy. The 2005 Dietary Guidelines for Koreans includes the consumption of a variety of foods from diverse food groups as a component of a normal diet. A survey was conducted to evaluate the relationship between the dietary diversity of food groups and nutrient intake in elderly patients (age 65 and above) at a rural area in Korea (Inje). 296 subjects (111 male and 185 female) were probed in a 3 day 24-recall dietary survey. Subjects were grouped according to food group intake frequency, based on six food groups (grain, meat/fish/legume/egg, vegetable, fat/oil, dairy, fruit). Nutritional quality was evaluated according to the numbers of nutrients under EAR (Estimated Average Requirements), and MAR (mean adequacy ratios). The frequency of elderly subjects consuming a meat/fish/legumes/egg food group less than once per day was 29.4%. The frequency of elderly subjects consuming fat/oil food group less than once per day was 65.8%. The percentage of subjects who did not eat dairy food was 88.8%, and that of subjects who did not eat fruit was 57.5%. A stepwise multiple regression analysis was used to develop models relating nutritional quality to possible food group intake frequency factors. Using the number of nutrients under EAR as a dependent variable, the meat/fish/legume/egg food group intake frequency explained 9.9% of variance, followed by the grain group, fat/oil group, dairy group, and vegetable and fruit group (Model $R^2$=0.260). For mean nutrient adequacy ratio as a dependent variable, the model $R^2$ was 0.326. The results of this study suggest that a highly varied diet in elderly might be associated with better nutritional quality, as assessed by nutrient intake. Accordingly, dietary guidelines should take into consideration nutritional characteristics in order to improve intake from all major food groups and to provide a variety of foods in the diet.

• 한국통신학회논문지
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• 제25권8B호
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• pp.1477-1486
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• 2000

본 논문에서는 조합 논리 회로의 면적과 전력 소모를 낮추기 위한 효율적인 커널 기반의 분할 알고리듬을 제안 한다. 제안한 알고리듬은 커널을 이용하여 회로를 분할함으로써 회로의 전력 소모를 줄이고 분할된 회로들의 중복 되는 게이트를 최소화시켜 면적 overhead를 감소시킨다. MCNC 표준 테스트 회로에 대한 실험을 통하여 제안된 알고리듬이 면적과 전력소모면에 있어서 기존의 precomputation 회로 구조에 바탕을 둔 알고리듬에 비해 전력 소모는 평균 43.6% 면적은 평균30.7% 향상된 결과를 보인다.

• 전기전자학회논문지
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• 제17권2호
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• pp.119-128
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• 2013

본 논문에서는 차세대 동영상 압축 표준인 HEVC의 핵심 프로세스 중 하나인 코어 변환기를 설계하고 이를 합성한 후 검증하였다. 제안하는 코어 변환기는 면적을 많이 차지하는 곱셈기 대신에 덧셈기와 쉬프터만을 사용하였으며, 쉬프터도 실제로는 와이어 연결과 멀티플렉서만을 사용하여 면적을 크게 줄였다. 또한 하나의 하드웨어로 $4{\times}4$에서 $16{\times}16$ 블록까지 모두 처리할 수 있도록 설계하였으며, 이를 위해서 연산처리기를 재사용하는 아키텍쳐를 제안하였다. 0.13um 공정으로 설계된 코어 변환기는 $16{\times}16$ 블록을 2-D 변환 처리하는데 160 사이클이 소요되며 게이트 수는 101,015 게이트이다.