• Communications for Statistical Applications and Methods
• /
• 제11권3호
• /
• pp.619-629
• /
• 2004

Binomial group testing or composite sampling is often used to estimate the proportion, p, of positive(infects, defectives) in a population when that proportion is known to be small; the potential benefits of group testing over one-at-a-time testing are well documented. The literature has focused on maximum likelihood estimation. We provide two Bayes estimators and compare them with the MLE. The first of our Bayes estimators uses an uninformative Uniform (0, 1) prior on p; the properties of this estimator are poor. Our second Bayes estimator uses a much more informative prior that recognizes and takes into account key aspects of the group testing context. This estimator compares very favorably with the MSE, having substantially lower mean squared errors in all of the wide range of cases we considered. The priors uses a Beta distribution, Beta ($\alpha$, $\beta$), and some advice is provided for choosing the parameter a and $\beta$ for that distribution.

• 대한전기학회:학술대회논문집
• /
• 대한전기학회 2004년도 하계학술대회 논문집 A
• /
• pp.660-662
• /
• 2004

Cooling demand in Korea has increased constantly. Furthermore, an evaluation and savings of cooling demand has impacted on summer DSM and investment in Korea. Absorbed cooling system uses gas. It could achieve reductions in summer peak load and increase gas demand simultaneously. However its efficiency rate is lower than electric system. Gas cooling system uses separate meter. Therefore we could analyze monthly cooling demand and derive annual uses pattern. This paper analyzes demand pattern of gas cooling and its effects on electricity savings. Also this paper presents the course of policy in electricity sector on spreading of gas cooling measures.

• International Journal of Computer Science & Network Security
• /
• 제21권12호
• /
• pp.21-28
• /
• 2021

In this paper, a novel data transferring method is introduced that can transmit sensor data without using data bandwidth or an extra-processing cycle in a delay insensitive network. The proposed method uses human devices as Mules, does not disturb the device owner for permission, and saves energy while transferring sensor data to the collection hub in a wireless sensor network. This paper uses IP addressing technique as the data transferring mechanism by embedding the sensor data with the IP address of a Mule. The collection hub uses the ARP sequence method to extract the embedded data from the IP address. The proposed method follows WiFi standard in its every step and ends when data collection is over. Every step of the proposed method is discussed in detail with the help of figures in the paper.

• 산업융합연구
• /
• 제15권1호
• /
• pp.17-32
• /
• 2017

The purpose of this study is to evaluate financial models that can predict corporate bankruptcy with diverse studies on evaluation models. The study uses discriminant analysis, logistic model, decision tree, neural networks as analyses tools with 18 input variables as major financial factors. The study found meaningful variables such as current ratio, return on investment, ordinary income to total assets, total debt turn over rate, interest expenses to sales, net working capital to total assets and it also found that prediction performance of suggested method is a bit low compared to that in literature review. It is because the studies in the past uses the data set on the listed companies or companies audited from outside. And this study uses data on the companies whose credibility is not verified enough. Another finding is that models based on decision tree analysis and discriminant analysis showed the highest performance among many bankruptcy forecasting models.

• International journal of advanced smart convergence
• /
• 제11권2호
• /
• pp.13-21
• /
• 2022

In this paper, we propose a learning based joint demosaicing and super-resolution framework which uses only the mosaiced color filter array(CFA) image as the input. As the proposed method works only on the mosaicied CFA image itself, there is no need for a large dataset. Based on our framework, we proposed two different structures, where the first structure uses one deep image prior network, while the second uses two. Experimental results show that even though we use only the CFA image as the training image, the proposed method can result in better visual quality than other bilinear interpolation combined demosaicing methods, and therefore, opens up a new research area for joint demosaicing and super-resolution on raw images.

• 한국방송∙미디어공학회:학술대회논문집
• /
• 한국방송∙미디어공학회 2020년도 하계학술대회
• /
• pp.717-720
• /
• 2020

An indoor localization system that uses Wi-Fi RSSI signals for localization gives accurate user position results. The conventional Wi-Fi RSSI signal based localization system uses raw RSSI signals from access points (APs) to estimate the user position. However, the RSSI values of a particular location are usually not stable due to the signal propagation in the indoor environments. To reduce the RSSI signal fluctuations, shadow fading, multipath effects and the blockage of Wi-Fi RSSI signals, we propose a Wi-Fi localization system that utilizes the advantages of Wi-Fi RSSI heat maps. The proposed localization system uses a regression model with deep convolutional neural networks (DCNNs) and gives accurate user position results for indoor localization. The experiment results demonstrate the superior performance of the proposed localization system for indoor localization.

• 유통과학연구
• /
• 제22권4호
• /
• pp.47-58
• /
• 2024

Purpose: Achieving organizational effectiveness is the ultimate goal that every business entity or institution targets. To achieve this, organizations need to consider various factors that have an impact on their performance. This article analyzes the distribution influence of six main elements that have a central role in shaping sustainable organizational effectiveness, which are organizational culture, job satisfaction, interpersonal communication, talent management, knowledge management, and information technology. Research Design Data and Methodology: This research uses a quantitative approach, focusing on manufacturing companies located in Surabaya as the main object, involving twenty manufacturing companies as research targets, and 10 employees in each company. The sample selection process was carried out through the application of random sampling techniques. The analysis in this research uses the multiple linear regression method and uses SPSS version 26 software. Results: Distribution of six major factors used in this research are related to each other and contribute significantly to overall organizational effectiveness. Conclusion: Organizations that can combine the distribution of a positive culture, prioritize employee satisfaction, encourage effective communication, manage talent and knowledge efficiently, and utilize information technology wisely will have greater potential to achieve their goals and survive in the intensely competitive business environment.

• 생태와환경
• /
• 제39권3호통권117호
• /
• pp.285-295
• /
• 2006

본 연구에서는 (1) 선진외국 및 기타국가의 농업용수 수질기준을 검토하고 (2) 선진외국과 국내의 농업용수 수질기준을 항목별로 심층 비교 분석하여, 현행 농업용수 수질기준의 적정성을 평가하였다. 또한 (3) 국내 농업용수 수질기준의 문제점을 파악하고 추가로 기준설정이 요구되는 수질기준 항목을 도출하였다. 우리나라의 농업용수 수질기준은 따로 마련되어 있는 것이 아니라, 수질환경기준의 4등급에 해당하는데, 이는 관리목적의 기준으로 이수목적의 농업용수로 필요한 항목들이 누락되어 있는 실정이다. 예를 들어 캐나다의 경우 농약과 비료에 의한 오염 등을 고려하여 관개용수 수질기준을 제시하고 있으며 일본의 경우 우리나라와 달리 EC, Zn, 그리고 Cu항목을 설정해 두고 있다. FAO에서도 주요항목으로 염도와 토양 침투율 그리고 특정이온의 독성에 대해 제시하고 있으며 중국의 경우 벼에 대한 농업용수 수질기준을 따로 제시하고 있는 실정이다. 국내 농업용수 수질기준의 추가항목 필요성은 수질환경기준의 8항목과 사람의 건강보호항목 9항목으로 나누어 세밀하게 검토한 결과, 국내 농업용수 수질기준에 추가되어야 할 수질항목으로 나트륨, 전기전도도, 미생물항목. 그리고 5개의 미량원소 (염소, 붕소, 구리, 철, 아연)가 제안되었다. 전기전도도 (EC) 는 염도의 지표로 식물뿌리 주변에 염농도가 높으면 수분결핍과 이온 독성을 나타낸다. 하수처리수를 재이용하여 농업용수로 이용할 경우 분변성 오염은 공중위생상 문제가 되며 병원성 미생물의 공존가능성을 시사하기 때문에 미생물항목이 필요하다. 또한, 염소, 붕소, 구리, 철, 아연의 5개의 원소는 이미 선진국에서는 기준설정이 되어 있는 수질항목들로, 식물생장에 필수원소들이지만 일정량 이상이 되면 식물독성을 유발하는 원소로 제시되었다. 우리나라의 농업용수 수질기준이 농작물을 보호하고, 나아가 인체건강을 고려하는 실질적인 이수목적의 기준이 되기 위해서는 추가로 제안된 수질항목들에 대한 기준이 선정된 필요가 있는 것으로 사료된다.

• 한국언론정보학보
• /
• 제37권
• /
• pp.43-72
• /
• 2007

본 연구는 미디어 교육을 받고 있는 중 고등학생들의 미디어 교육 이용유형과 효과에 관한 연구이다. 이를 위해서 미디어 교육 이용 동기, 학업적 자기 효능감, 미디어 능력 그리고 학업성적을 조사하였다. 분석결과, 우선 미디어 교육 이용 동기는 '수업 편리성/도움 추구', '정보/교육방법 습득 추구', '새로운 수업/의사소통 추구', '능력향상 추구', '자율적 교육 추구', '시대 편승 추구', '새로운 지식/교육추구' 순으로 나타났다. 다음으로 미디어 교육 이용 동기 중에서 학업적 자기 효능감에서는 '새로운 지식/교육추구' 동기만이 긍정적인 영향을 미쳤으며, 미디어 능력에는 '수업 편리성/도움 추구', '정보/교육방법 습득 추구', '새로운 수업/의사소통 추구', '자율적 교육 추구', '시대 편승 추구' 등 5개 동기가 긍정적인 영향을 미치는 것으로 나타났다. 또한 학생들의 학업성적에는 '자율적 교육 추구'와 '새로운 지식/교육추구'만이 긍정적인 영향을 미치는 것으로 나타났다. 마지막으로 '학업적 자기 효능감'이 '미디어 능력'보다 학업성적에 더 큰 영향을 미치는 것으로 나타났다. 결국, 미디어 교육은 어느 정도 새로운 수업방식과 능력향상 차원에서 의미가 있지만, 학생들의 학업적 자기 효능감과 학업성적에서는 큰 영향을 미치지 못하는 것으로 나타났다. 그렇지만 학생들의 미디어 능력 함양에는 미디어 교육이 어느 정도 영향을 미치는 것으로 나타났다.

• 한국환경보건학회지
• /
• 제47권5호
• /
• pp.432-445
• /
• 2021

Background: The European Centre for Ecotoxicology and Toxicology of Chemicals' Targeted Risk Assessment (ECETOC TRA) tool has been recognized by EU REACH as a preferred approach for calculating worker health risks from chemicals. Objectives: The applicability of the ECETOC TRA to occupational exposure estimation from industrial uses of methanol was studied by inputting surveyed and varied parameters for TRA estimation as well as through comparison with measured data. Methods: Information on uses of methanol was collected from seven working environment monitoring reports along with the measured exposure data. Input parameters for TRA estimation such as operating conditions (OCs), risk management measures (RMMs) and process categories (PROCs) were surveyed. To compare with measured exposures, parameters from the surveyed conditions of ventilation but no use of respiratory protection were applied. Results: PROCs 4, 5, 8a, 10, and 15 were assigned to ten uses of methanol. The uses include as a solvent for manufacturing sun cream, surfactants, dyestuffs, films and adhesives. Methanol was also used as a component in a release agent, hardening media and mold wash for cast products as well as a component of hard-coating solution and a viscosity-controlling agent for manufacturing glass lenses. PROC 8a and PROC 10 of a cast product manufacturer without LEV (local exhaust ventilation) and general ventilation as well as no respiratory protection resulted in the highest exposure to methanol. Assuming the identical worst OCs and RMMs for all uses, exposures from PROC 5, 8a, and 10 were the same and the highest followed by PROC 4 and 15. The estimation resulted in higher exposures in nine uses except one use where measured exposure approximated exposures without RMMs. Conclusions: The role of ECETOC TRA as a conservative exposure assessment tool was confirmed by comparison with measured data. Moreover, it can guide which RMMs should be applied for the safe use of methanol.