• 식물병연구
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• 제8권4호
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• pp.254-257
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• 2002

배나무 잎검은점병에 대한 방제대책을 검토하고자 시험을 수행하였다 이 병은 배 주산단지에 고루 발생하고 있으며 주 재배 품종인 신고에서 약 5.6% 정도 발생되었다. 농약에 의한 방제 효과는 없었고, 병 발생이 심한 나무는 수량 및 품질이 떨어지는 현상을 관찰할 수 있었다. 방제대책으로 경제적 갱신시기는 표준수확량의 70% 수준 이하일 때 즉 발병율이 80%이상일 때 저항성 품종으로 갱신하는 것이 효과적이었다. 이 병이 심하게 발생하고있는 신고품종에 저항성품종인 수황배와 화산배를 고접갱신 한 결과 2년 차까지 병 발생이 관찰되지 않았다.

• 전기학회논문지
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• 제59권10호
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• pp.1741-1747
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• 2010

The development of overload management systems for distribution transformers offers new opportunities for improving the reliability of distribution systems. It allows network planners to optimize the system resource utilization and investment cost. Such an improvement in the flexibility of the distribution network is only possible if the operator has more accurate knowledge of the realtime conditions of distribution transformers. In this paper, we present an improved overload decision system for distribution transformers using realtime monitoring data. Our study can be categorized into two parts: (a) improvement in the criteria for judging the overload conditions of distribution transformers and (b) development of an overload evaluation system using realtime monitoring data. In order to determine the overload criteria, overload experiments are performed on sample transformers; the results of these experiments are used to define the relationship between the transformer overload and the increase in the top-oil temperature. To verify the accuracy of the experimental results, field tests are performed using specially manufactured transformers, the loads and top-oil temperatures of which can be measured. For arriving at online overload decisions, we propose methods whereby the measured load curve can be converted into an overload characteristic curve and the overload time can be calculated for any load condition. The developed system is able to evaluate the overload for individual distribution transformers and calculate the losses using realtime monitoring data.

• 한국CDE학회논문집
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• 제4권4호
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• pp.318-326
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• 1999

Recently, electronic systems including computers have been rapidly shrinking in size while at the same time the complexity and the capability of these systems continue to grow/sup [1]/. Thus, system volumes have decreased as system power has increased, resulting in dramatic increases in system heat density. The high temperature of the computer system is considered as the major reason for low performance and shortening life of the product. It is necessary to solve this problem due to the heat density increased and to develop the design skill of the computer cabinet according to miniaturization. M4500 desk-top computer was selected for analyzing the thermal management inside cabinet. The cabinet volume, the configuration of the heating devices, the size and location of air ventilation, and the fan selection have been investigated as the important parameters to find out an optimal cabinet design. The objectives of this project were to analyze which design parameters would affect cooling performance by thermal strategy, to design an optimal model, and to measure the temperatures of the main parts to confirm the effect of the thermal design. The temperatures of each part of the optimal model were compared with those of the existing model. As a result. the volume of this miniaturized model was about 16% smaller than that of M4500 without any change in operating performance.

• Agribusiness and Information Management
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• 제4권1호
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• pp.1-12
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• 2012

Cameroon, with her numerous resources, still depends on foreign aid while the rate of poverty remains high. Thus, even though historical evidence gives impetus to the impasse over role of developmental aid, from the top down approach through to development as a springboard raising states from the doldrums of poverty, it is still very difficult to draw a substantial relationship between developmental aid and poverty reduction. Against this backdrop of controversy, I find it apt to put Cameroon on a balance scale. Therefore, the purpose of this research is to critically assess the implications of developmental aid on poverty reduction and agro-rural development in Cameroon, using the RUMPI Area Development Project in the South West region of Cameroon as a case study. The study will situate and contextualize the top-down and bottom-up approaches to development within the basis of a Cameroonian perspective, using the Sachs-Easterly debate. The RUMPI Project was introduced with the objective of improving agriculture and empowering the rural woman; thereby fighting poverty within the South West region of Cameroon. Despite its criticism of the barriers to development created by corruption, political pressure and limited use of local and grass-root partnerships, the study, in assessing these failures also tries to outline vital ways in which the project can be improved upon.

• 한국응용과학기술학회지
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• 제33권1호
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• pp.92-99
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• 2016

PPG와 PTMG의 몰비를 달리하면서 첨가하여 합성된 폴리우레탄 수지의 물리적 특성을 SEM, FT-IR, UTM을 이용하여 측정하였다. 본 연구를 통해 4개의 메틸렌기를 포함한 PTMG의 몰비가 증가함에 따라 내마모도(60.26 mg.loss), 인장강도($5.24kgf/mm^2$)가 증가함을 알 수 있었다. 반대로 연신율(297 %)은 감소함을 확인 할 수 있었으며. 톨루엔을 이용한 내용제성 물성측정 결과로부터 PTMG의 반응 몰비 증가에 따른 물성 증감 효과는 없었다. 또한 PTMG의 몰비가 증가함에 따라 점도(4.8 cp)가 상승함을 확인 할 수 있었다.

• Industrial Engineering and Management Systems
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• 제13권2호
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• pp.148-153
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• 2014

Sustainable development has always been the top agenda of many governments. Especially, the concept of 'Ecological Civilisation (EC)' is gaining substantial attention from China's new leaders. However, regional government officers may manipulate or change top level policy in order to suit their own interests or if they are unable to meet the varied pressures of achieving the set measures. Thus, policy makers can unwittingly cause a negative or positive impact on the firms or regional development through the implementation of EC regulations and the requirement to measure, monitor and report performance measurement (PM) information. This can potentially have significant consequences for the firms, the industry sector, and China as a whole. The aim of this research is to explore and evaluate previous work focusing on the relationship and links between regulation and PM. This research will make a significant knowledge contribution to the emerging and yet important area in EC related research. A good understanding of the linkages between PM and EC will assist policy makers to better formulate suitable regulatory control mechanisms at the field level. Moreover, they may take the PM and EC linkages into consideration when setting policy frameworks by minimizing the negative effects and take advantages of the positive consequences.

• 한국물환경학회지
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• 제23권2호
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• pp.266-273
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• 2007

In this study, discharge of the pollutants from the rice paddies during cultivation and its pattern were investigated. The pH in the returned and rainfall water from ten different paddies was between 6.9 and 7.4, which is not associated with the cultivation time and farming style of individual paddy. TN and TP concentrations were highest in the beginning of first top dressing (fertilization), which indicates that proper top dressing and returned water management is crucial to reduce their discharge loads. In particular, TN concentration was more or less constant until tillering stage. This is thought to be due to the runoff of soil-adsorbed nitrogen and compost. Average SS concentration in the returned and rainfall water was 28 mg/L, and organics was predominantly soluble form, and highest COD 25 mg/L during transplanting, lowest 11.3 mg/L and average 11.3 mg/L. Density of TC (total coliform bacteria) was from 1000/100 mL to 114,000/100 mL and FC (fecal coliform) was 5 to 16% of TC density.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2019년도 춘계학술발표대회
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• pp.371-374
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• 2019

PDA나 휴대폰 단말로 여러 속성의 데이터를 이용하여 사용자에게 필요한 정보를 제공하는 위치기반 서비스는 물류/운송 정보 서비스, 버스/지하철 노선 안내 서비스 등에 사용된다. 여기에서 제공하는 데이터들을 최적 경로를 구하는 외판원 순회문제 (Traveling Salesman Problem)에 사용한다면 더 정확한 경로 서비스 제공이 가능하다. 하지만 데이터의 수가 많아질수록 비교 횟수가 기하급수적으로 늘어나는 외판원 순회 알고리즘의 특성상 일반 단말기에서 활용하기에는 배터리의 제약이 따른다. 본 논문에서는 이와 같은 단점을 해결하기 위해서 최적 경로의 후보군을 줄일 수 있는 스카이라인 질의를 이용하여 n차원 속성에 대한 최적 경로 알고리즘을 제안한다. 실험에서 정확도와 오차율을 통해 제안한 방식의 유용성을 보였으며 기존방식과 연산시간 차이를 비교하여 다차원방식의 효율성을 나타내었다.

• Journal of Information Science Theory and Practice
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• 제9권4호
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• pp.75-83
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• 2021

Mendeley reader count is good evidence of the early impact of scientific output since it appears before citations. This paper aims to scope and compare Mendeley readers of Library and Information Science (LIS) articles published from India and China. Mendeley readership data for the highly cited 1,000 articles in Web of Science are extracted using Webometric Analyst for both countries and are analysed using Excel and SPSS. The findings reveal that LIS articles that are published from China got more readers as compared to LIS articles published from India with an excess of 97 readers per paper on Mendeley. The occupational status of readers tells that PhD students are the top readers for both the countries' publications, followed by masters students. Discipline-wise readership shows that readers were spread across 29 different fields, with the highest readers from business, management and accounting, followed by computer science for both countries' publications. Location-wise readership depicts that the top engaged readers are from the United States for both the countries' publications. Finally, the study reports a positive association between citations and Mendeley bookmarks, justifying that Mendeley readership can be used to measure the early research impact of LIS scholarship in both countries.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제13권4호
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• pp.2162-2179
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• 2019

The performance of text classification is highly related to the feature selection methods. Usually, two tasks are performed when a feature selection method is applied to construct a feature set; 1) assign score to each feature and 2) select the top-N features. The selection of top-N features in the existing filter-based feature selection methods is biased by their discriminative power and the empirical process which is followed to determine the value of N. In order to improve the text classification performance by presenting a more illustrative feature set, we present an approach via a potent representation learning technique, namely DBN (Deep Belief Network). This algorithm learns via the semantic illustration of documents and uses feature vectors for their formulation. The nodes, iteration, and a number of hidden layers are the main parameters of DBN, which can tune to improve the classifier's performance. The results of experiments indicate the effectiveness of the proposed method to increase the classification performance and aid developers to make effective decisions in certain domains.