• 한국철도학회:학술대회논문집
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• 한국철도학회 2009년도 춘계학술대회 논문집
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• pp.247-250
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• 2009

Awareness of resource conservation and pollution prevention has been continually increasing. The proven benefits from CFRP's unique combination of light weight and high strength compare to conventional material is well suited for minimizing fuel consumption during vehicle in particular rail operation. Responding the awareness, this work intends to study CFRP's recycling method that is not only technical performance but also environmental view point. According to prior work of technical performance test, this work aims at quantifying the footprint of energy and GHG derived from the two appreciated performance of pyrolysis and acids recycling methods. The streamline LCA is the concept for systematic assessment. The boundary is scoped at the recycling activity, consequently, the data in and out from the specific target activity are obtained under the gate to gate data collection. Its function is recovery carbon fiber. To count and compare function, functional unit is set at 60% of recycling rate. Korea database is mainly source for acquiring the footprint of both. The numerical results presented that the energy footprint of acids and pyrolysis is 164.95 and 1,199.88 MJ-eq., respectively. Meantime, the GHG footprint of is 1,196.22 and 5,916.08 g CO2 eq. for acids and pyrolysis. In summary, the acids recycling method is, in regarding the environmental performance, better than pyrolysis recycling method.

• 디지털산업정보학회논문지
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• 제9권4호
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• pp.1-10
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• 2013

Recently many documents have been written by HTML due to the expansion of the Internet and WWW. HTML allows scripting languages to interact between an user and an browser. Sometimes there might have problems with some functions of the script language. Some functions have the same name although the different contents and vice versa. It presents tremendous difficulties to maintain the functions. And, a file includes many functions shared among documents. If a user tries to see a HTML document, the file will be sent to the web browser in the user system. The network resource is wasted due to moving all data in the file through the network although some functions in the file is not used. So, we should design and implement the code library of a script language with a database. Each function has the name and arguments. A system of the code library manages functions with them. The system has the functions consistency and reduces the network resource consumption because there are only necessary functions in documents. Beside it is easy for the system to modify and reuse the functions.

• 한국콘텐츠학회논문지
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• 제9권6호
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• pp.336-343
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• 2009

최근 기업은 업무의 효율적 수행을 위해 데이터베이스를 사용하고, 저장된 데이터베이스의 데이터로부터 분석을 통해 행동 패턴을 추출해내어 그 결과를 마케팅과 생산의 효율성 증대를 위해 데이터마이닝을 많이 사용한다. 데이터마이닝을 통해 얻어진 지식의 활용은 기업 활동을 정비하고 활동방향을 제시하며 의사결정의 순간에 기반 자료로 활용될 수 있는 부가적 경쟁력이라 할 수 있다. 본 논문에서는 제조업체의 실제 데이터를 가지고 데이터마이닝 방법론을 이용하여 기존고객의 등급 및 소비행위 파악을 위한 예측모델을 설계한다. 이를 통해 고객의 등급 및 소비행위를 파악하여 이를 마케팅까지 연결, 수익을 창출하고, 기업의 브랜드 가치를 향상시키는데 목적이 있다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제18권3호
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• pp.738-754
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• 2024

Side-channel analysis (SCA) is a cryptanalytic technique that exploits physical leakages, such as power consumption or electromagnetic emanations, from cryptographic devices to extract secret keys used in cryptographic algorithms. Recent studies have shown that training SCA models with semi-supervised learning can effectively overcome the problem of few labeled power traces. However, the process of training SCA models using semi-supervised learning generates many pseudo-labels. The performance of the SCA model can be reduced by some of these pseudo-labels. To solve this issue, we propose the HWFilter method to improve semi-supervised SCA. This method uses a Hamming Weight Pseudo-label Filter (HWPF) to filter the pseudo-labels generated by the semi-supervised SCA model, which enhances the model's performance. Furthermore, we introduce a normal distribution method for constructing the HWPF. In the normal distribution method, the Hamming weights (HWs) of power traces can be obtained from the normal distribution of power points. These HWs are filtered and combined into a HWPF. The HWFilter was tested using the ASCADv1 database and the AES_HD dataset. The experimental results demonstrate that the HWFilter method can significantly enhance the performance of semi-supervised SCA models. In the ASCADv1 database, the model with HWFilter requires only 33 power traces to recover the key. In the AES_HD dataset, the model with HWFilter outperforms the current best semi-supervised SCA model by 12%.

• Journal of Dairy Science and Biotechnology
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• 제17권1호
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• pp.39-49
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• 1999

Since IMF relief financing, domestic economy has been rapidly cooled down. At this point that we predict an overall decrease of production and sale of industries, cooperative marketing activities of the whole dairy industry are required to promote milk consumption. As everyone knows, advertisement is only one of the various factors that affect sales. Other factors include price, distribution, package, promotion, and consumer's needs and taste. The objectives of the cooperative advertising campaign should be trial purchase of new consumers, maintenance of brand loyalty of existing consumers, more positive experience of using the product, and increase of frequency of purchase. Long term analysis is essential to making these kinds of behaviour changes. Also the objectives of the communication program should be a shift of awareness of milk from 'a basic health food for children' to a substitute to the beverage even for adults. To share database of consumers among companies, we need to find ways to use interactive on-line services, the internet, D.M. events and so on as well as the mass media. It should be a precondition that the main body of the cooperative advertisement includes the milk processing board, dairy companies, livestock cooperations, farmers and the Government. To assure continuous, activities to promote milk consumption, the Government should take the lead in legislating 'An enforcement ordinance for milk promotion and research', and seek complementary measures and support to establish the ordinance.

• 한국태양에너지학회 논문집
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• 제34권3호
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• pp.1-11
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• 2014

The Korean government plans to introduce the building energy performance standard which regulates the annual energy consumption of buildings. This paper aimed to set up the reference building from database based on the building design trends for non-residential buildings. We surveyed the design data of 435 non-residential buildings which were granted building permission from 2007 to 2011. And we conducted estimation on the heating & cooling load and the energy consumption of the reference building using ECO2 program. From results, the reference building of non-residential buildings was office building which had a total 7 floors and $20,838m^2$ gross floor area. And it suggests the design reference data of building envelope, HAVC, heat source equipment and lighting system for the reference building. The total annual energy use of the reference building was $151.9kWh/m^2yr$.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제15권8호
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• pp.2764-2782
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• 2021

Existing city-level boundary nodes identification methods need to locate all IP addresses on the path to differentiate which IP is the boundary node. However, these methods are susceptible to time-delay, the accuracy of location information and other factors, and the resource consumption of locating all IPes is tremendous. To improve the recognition rate and reduce the locating cost, this paper proposes an algorithm for city-level boundary node identification based on bidirectional approaching. Different from the existing methods based on time-delay information and location results, the proposed algorithm uses topological analysis to construct a set of candidate boundary nodes and then identifies the boundary nodes. The proposed algorithm can identify the boundary of the target city network without high-precision location information and dramatically reduces resource consumption compared with the traditional algorithm. Meanwhile, it can label some errors in the existing IP address database. Based on 45,182,326 measurement results from Zhengzhou, Chengdu and Hangzhou in China and New York, Los Angeles and Dallas in the United States, the experimental results show that: The algorithm can accurately identify the city boundary nodes using only 20.33% location resources, and more than 80.29% of the boundary nodes can be mined with a precision of more than 70.73%.

• The Journal of Asian Finance, Economics and Business
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• 제9권5호
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• pp.19-27
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• 2022

The size of the government is one of the most fundamental debates of open economies. In any economy, government plays an important role, but a pertinent level of economic prosperity has never been obtained in history without government. Therefore, the objective of this paper investigates the association of government size, economic volatility, and institutional quality for 182 economies from the time period 1996-2016 is collected from the World Bank database. GE is defined as the General government's final consumption expenditure. Health expenditure is represented by HE. Government expenditure on education is denoted by EDUEXP. The economic volatility is measured by the rolling standard deviation of GDP per capita growth rate, Population growth, Trade openness, GINI represented Gini index which measures the degree to which the income distributed or consumption expenses among citizens deviates from a perfectly equal distribution. The results proposed that economic volatility has a significant effect on government size and institutional qualities. Moreover, the paper extends the investigation by finding the link between economic volatility with government health and education expenditure separately. The policy implication drawn from this analysis is that controlling economic volatility may reduce the size of government and also significantly affect health and education expenditures.

• Journal of Nutrition and Health
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• 제51권2호
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• pp.168-176
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• 2018

본 연구는 농촌경제연구원에서 실시한 2015년 식품소비행태조사 자료를 이용하여 여성의 결혼여부에 따른 조사대상자의 일반적 사항, 식료품 구입행태, 외식행태, 배달 및 테이크아웃 이용 행태, 그리고 가공식품 및 조리식품 구입행태를 조사하였다. 식료품 구입 빈도에서는 미혼인 경우는 주 1회 (40.5%), 기혼인 경우는 주 2~3회 (43.1%)로 가장 높게 나타났다. 친환경 식품의 구매여부는 결혼여부와 관계없이 구매하지 않는 비율이 60%이상 (미혼 68.2%, 기혼 61.6%)으로 높게 나타났고, 기능성 식품의 복용률은 기혼여성 (54.2%)이 미혼여성 (44.9%)보다 높은 것으로 조사되었다. 결혼여부에 따른 외식행태는 미혼인 경우가 기혼인 여성보다는 외식을 더 많이 하는 것으로 조사되었고, 미혼인 경우는 한식당, 기혼은 고깃집을 외식장소로 주로 이용하는 것으로 나타났다. 그리고 배달 및 테이크아웃의 소비행태에서는 기혼인 경우가 월 2회 (34.6%), 미혼은 월 1회 (31.2%)가 각각 가장 높은 것으로 나타났다. 그리고 배달 및 테이크아웃의 빈도는 외식횟수와는 달리 기혼인 경우가 더 높은 것으로 조사 되었다. 또한, 결혼여부에 따른 가공식품의 구입행태에서도 미혼여성이 기혼여성에 비교하여 대표적인 가공식품인 빵류, 과자류, 떡류 및 라면, 국수류의 구매 빈도가 더 낮은 것으로 나타났다. 본 연구는 여성의 결혼 여부에 따른 식품소비 행태인 식품 구매, 외식, 배달/테이크아웃 패턴을 비교 분석하였으며, 이러한 결과는 관련 연구와 산업에 기초자료로 활용되길 기대한다.

• Nutrition Research and Practice
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• 제11권6호
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• pp.500-506
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• 2017

BACKGROUND/OBJECTIVES: Food composition databases are necessary for assessing dietary intakes. Developing and maintaining a high quality database is difficult because of the high cost of analyzing nutrient profiles and the recent fast-changing food marketplace. Thus, priorities have to be set for developing and updating the database. We aimed to identify key foods in the Korean diet to set priorities for future analysis of foods. SUBJECTS/METHODS: The food consumption data of the Korea National Health and Nutrition Examination Surveys 2013-2014 were used. We modified the US Department of Agriculture's key food approach. First, major foods were analyzed, contributing to 75%, 80%, 85%, or 90% of each nutrient intake. Second, the cumulative contributions to nutrient intakes were compared before and after excluding the foods least commonly consumed by individuals. Third, total nutrient score for each food was calculated by summing all percent contributions times 100 for nutrients. To set priorities among the foods in the list, we sorted the score in descending order and then compared total percent contributions of foods, within the 100, 90, 85, 80, and 75 percentiles of the list. Finally, we selected the minimum list of foods contributing to at least 90% of the key nutrient intake as key items for analysis. RESULTS: Among the 1,575 foods consumed by individuals, 456 were selected as key foods. Those foods were chosen as items above the 80 percentile of the total nutrient score, among the foods contributing at least 85% of any nutrient intake. On an average, the selected key foods contributed to more than 90% of key nutrient intake. CONCLUSIONS: In total, 456 foods, contributing at least 90% of the key nutrient intake, were selected as key foods. This approach to select a minimum list of key foods will be helpful for systematically updating and revising food composition databases.