• 한국건설관리학회논문집
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• 제5권1호
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• pp.114-123
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• 2004

Contract time determination for highway construction projects has never been easy despite considerable research efforts from academia as well as industry. High variations in crew production rates are considered one of the main barriers to accurate contract time determination. This paper presents a methodology for collecting field information on crew production rates which will help to enhance the accuracy of contract time determination for highway bridge construction. Based on a standard data collection tool developed, data on field crew production rates was collected from 14 on going projects in Texas, USA, over the past two years. The production rates based on the data collected were considered by industry practitioners to be more realistic and practical than those available to the current practices. As more data becomes available, key drivers influencing production rates could be identified and provide site personnel with a means to better plan and control production in a project specific context.

• 한국생활과학회지
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• 제19권5호
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• pp.817-833
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• 2010

This study was dedicated to searching better course of low birth rate study in Korea by carefully analyzing past and present low birth rate researches. For this 179 studies(101 master thesis and 78 journal articles) from 1991 to 2009 were analyzed. Next, using SPSS Win 12.0, the research type, topic, participants, data collection and method of data analysis were compared to the studies' years of publication. The most frequently applied research approach, topic, sampling method, data collection procedure and data analysis method in the research was found to be a literature study, solution and prevention of low birth rate related policy, literature study, literacy analysis. In conclusion, low birth rate studies should become more diversified in terms of types of the research, data collection method, and data analysis. Additionally, research topics should become more realistic and specified. Moreover, research results should be verified before they are applied to the policy.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2001년도 하계학술대회 논문집 A
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• pp.389-391
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• 2001

The existing data systems and structures scope primarily the data evaluation which is performed by only corresponding or Interesting bodies. And the bodies i.e. electricity and energy utilities' quarters don't exchange the data each other because methods, purposes, etc. of the collection are different. This paper presents a new integrated system of data collection, administration and evaluation on the power system. And the system is applied to PSS/E data structures.

• 서비스연구
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• 제10권4호
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• pp.43-55
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• 2020

최근 경험데이터에 대한 중요성이 커지면서 데이터사이언스적 관점으로 경험데이터를 다루려는 시도가 많아지고 있다. 빅데이터와 같은 수치적으로 계량화하려는 정량(quantitative)적 조사 방식의 수집방식으로 접근하는 경우에 경험이 가지고 있는 가치에 대한 폭넓은 해석이 어려울 뿐 아니라 비용, 시간이 상대적으로 많이 들고, 개인정보 침해의 위험으로 분석에 한계가 있다. 하지만, 정성(qualitative)적 조사 기반의 경험데이터 수집 절차인 에스노그라피(ethnograpy)는 사용자라는 관점에서 미래 고객의 자연스러운 실제 환경에서 주로 실시되기 때문에 적은 표본으로도 고객이 직면한 본질을 확인할 수 있고, 경험데이터가 가지고 있는 맥락적 차원의 관계를 해석하기에도 용이하다. 에스노그라피 방식의 경험데이터 수집이 경제적이고, 효율적이라고 하여도 데이터의 수집 과정에 대한 과학적 절차의 미흡은 문제가 될 수 있기에, 수집과정의 오차를 줄이는 것은 중요하다. 에스노그라피 방식의 경험데이터 수집에 대한 올바른 측정 도구를 사용했느냐에 대한 타당성 확보와 측정대상을 정확하게 선정하여 타당성 있는 측정 도구와 방법을 사용했느냐의 신뢰성 확보가 중요하다. 이러한 관점에서 에스노그라피 방식의 경험데이터 수집에 대한 올바른 측정 방법과 도구개발을 위해 타당성을 확보하고 측정대상을 명확하게 선별하는 연구방법의 신뢰성을 검증할 필요가 있다. 이에 본 연구에서는 에스노그라피 방식의 경험데이터 수집에 기반하여 자영업자의 고객경험을 분석해주는 'I know you_AI' 서비스의 데이터와 방법론 사례를 중심으로 이에 대한 검증 연구를 진행하였고, 연구 결과 신뢰성과 타당성이 있음을 확인하였다.

• Animal Bioscience
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• 제34권10호
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• pp.1632-1642
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• 2021

Objective: The hypothesis was that apparent ileal digestibility (AID), basal endogenous losses, and standardized ileal digestibility (SID) of amino acids (AA) are not affected by adding acid to collection containers or bags used to collect ileal digesta from pigs. Methods: Twenty-four growing barrows (initial body weight: 77.8±4.5 kg) that were fitted with a T-cannula in the distal ileum were fed diets for three 7-d periods. An N-free diet and 3 diets containing corn, soybean meal, or wheat middlings as the sole source of AA were used. Within each period, each of the 4 diets were fed to 6 pigs. Among the 6 pigs, digesta from 3 pigs were collected in bags containing no HCl, whereas 40 mL of 3 N HCl was included in the bags used to collect digesta from the remaining 3 pigs. Every other bag collected from each pig was emptied into a container without adding HCl, whereas the remaining bags were added to a container along with 40 mL of 3 N HCl for each bag. All digesta were stored at -20℃ immediately after collection. Data were analyzed using a model that included feed ingredient, HCl in bags, HCl in containers, and all 2-way and 3-way interactions as fixed effects. No 3-way interactions were significant, and data were, therefore, reanalyzed independently for each diet as a 2×2 factorial. Results: There were no interactions between adding HCl to collection bags and to containers, and no effects of adding HCl to collection bags or containers for AID, basal endogenous losses, or SID of most AA were observed. Conclusion: It is not necessary to add acid to digesta collection bags or collection containers if ileal digesta are stored at -20℃ immediately after collection.

• International Journal of Advanced Culture Technology
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• 제10권1호
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• pp.310-316
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• 2022

The smart tourism service provides services such as travel planning and tour guides to tourists using key technologies of the 4th industrial revolution, such as the Internet of Things, communication infrastructure, big data, artificial intelligence, AR/VR, and drones. We are developing smart tourism services such as recommended travel products, my travel itinerary, tourism information, and chatbots for tourists through the smart tourism app. In this paper, we develop a smart tourism service system that provides real-time location-based tourism information and weather information to tourists. The smart tourism service system consists of a smart tourism app, a smart tourism information system, and an IoT data collection device. The smart tourism information system receives weather information from the IoT data collection device installed in the tourist destination. The location-based smart tourism service is provided as a smart tourism app in the smart tourism information system according to the Beacon's UUID in the IoT data collection device. The smart tourism information system stores the Beacon's UUIDs received from tourists and provides a safe hiking service for tourists.

• 유통과학연구
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• 제19권10호
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• pp.43-54
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• 2021

Purpose: The restrictions posed by the COVID-19 pandemic have affected the normal functioning of the economy. A country like India is facing a lot of concerns in all its sectors especially, in its fiscal system. This paper makes an attempt to examine the impact of COVID-19 first wave on Goods and Service Tax revenue collection and distribution in India and also studies the impact of COVID-19 first wave on the state wise GST revenue of the country. Research Design, Data and Methodology: Our study is based on published GST revenue data. Tools such as Paired Sample t-test, Wilcoxon signed rank test are employed to analyze the data. Results: Our results provide evidence that there is a sharp decline in the GST revenue in the months after the lockdown announcement. The large states show no significance impact of COVID-19 pandemic on GST collection. Whereas, small states like Manipur and Goa show significant difference in GST revenue collection & distribution between the pre and post lockdown period. Conclusion: The outcome of this study will help the policymakers to analyze the extent of the GST revenue loss to the government treasury and will allow them to take appropriate measures in the future.

• 한국비블리아학회지
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• 제29권4호
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• pp.251-267
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• 2018

본 연구는 지역통합시스템을 운영하고 있는 파주시 산하의 4개의 공공도서관을 대상으로 최근 3년간의 장서 데이터와 이용 데이터, 수서 데이터를 수집하여 도서관별 대출 및 상호대차를 분석하고, 나아가 이용과 수서간의 상관관계를 검증하기 위하여 구입 자료에 대한 중복도를 비교분석하였다. 본 연구의 결과, 이용대상 자료에 따라 주제별로 대출과 상호대차에 있어 차이가 있음을 발견하였고, 이러한 특징이 구입 자료의 중복에도 영향을 미치고 있음을 확인하였다. 본 연구를 통하여 관내 상호대차시스템을 실시하는 개별도서관은 장서구성 단계에서부터 보다 치밀한 장서개발정책이 필요함을 지적하였다.

• International Journal of Internet, Broadcasting and Communication
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• 제13권2호
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• pp.27-35
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• 2021

NAND flash memory-based SSD needs an internal software, Flash Translation Layer(FTL) to provide traditional block device interface to the host because of its physical constraints, such as erase-before-write and large erase block. However, because useful host-side information cannot be delivered to FTL through the narrow block device interface, SSDs suffer from a variety of problems such as increasing garbage collection overhead, large tail-latency, and unpredictable I/O latency. Otherwise, the new type of SSD, open-channel SSD exposes the internal structure of SSD to the host so that underlying NAND flash memory can be managed directly by the host-level FTL. Especially, I/O data classification by using host-side information can achieve the reduction of garbage collection overhead. In this paper, we propose a new scheme to reduce garbage collection overhead of open-channel SSD by separating the journal from other file data for the journaling filesystem. Because journal has different lifespan with other file data, the Write Amplification Factor (WAF) caused by garbage collection can be reduced. The proposed scheme is implemented by modifying the host-level FTL of Linux and evaluated with both Fio and Filebench. According to the experiment results, the proposed scheme improves I/O performance by 46%~50% while reducing the WAF of open-channel SSDs by more than 33% compared to the previous one.

• 한국컴퓨터정보학회논문지
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• 제29권6호
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• pp.69-76
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• 2024

최근 센서 기술과 모바일 기술의 급속한 발전으로 인하여 사용자 위치 데이터 수집이 가능해졌다. 사용자 위치 정보는 다양한 산업에서 중요한 자산으로 활용되고 있으며, 그 결과 위치 데이터의 수집 및 공유에 대한 수요가 증가하고 있다. 그러나 위치 정보에는 사용자의 민감한 데이터가 포함되어 있으므로, 무분별한 수집은 프라이버시 침해 문제를 일으킬 수 있다. 최근에는 차분 프라이버시의 한 방법으로 Geo-Indistinguishability (Geo-I)가 위치 데이터의 프라이버시 보호에 활용되고 있다. Geo-I는 사용자의 위치를 효과적으로 보호할 수 있는 강력한 방법을 제공하지만, 데이터 변조로 인해 수집된 위치 데이터의 유용성이 감소하는 문제가 있다. 따라서, 본 논문에서는 Geo-I 기술을 활용해 사용자 위치 데이터를 효과적으로 수집하면서 데이터의 유용성을 유지할 수 있는 방법을 제안한다. 제안 기법은 사용자의 사전 분포 정보를 활용하여 정확한 위치 정보를 보호하면서도 데이터의 전체적인 유용성을 향상시킨다. 실데이터를 이용한 실험 결과는 제안 기법이 기존 방법보다 수집된 데이터의 유용성을 상당히 향상시킬 수 있음을 보여준다.