• 대한지역사회영양학회지
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• 제18권2호
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• pp.154-164
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• 2013

The objectives of this study were to assign reasonability to importance of weight selection issue in key performance indicator for performance evaluation of Centers for Child-care Foodservice Management (CCFSM) developed by using Balanced Scorecard (BSC), to draw key performance indicator (KPI) by perspective and to analyze differences in recognition on importance. From September 25 to October 9, 2012, we conducted a questionnaire-based study via e-mail, targeting chiefs and team leaders of nationwide 21 CCFSMs (43 persons), officials of local governments where CCFSM was established (21 persons), officials of Korea Food and Drug Administration (2 persons) and foodservice management experts (27 persons) in order to estimate the relative importance on 4 perspectives and 14 KPIs and analyzed its results by using 61 collected data. The results showed that relative importance of perspectives was estimated in order of importance as follows: business performance (0.3519), customer (0.3393), resource (0.1557), learning and growth (0.1531). Relative importance of KPIs was in order of importance as follows: Evaluation of sanitary management level in child-care foodservice facilities (0.1327), Level of customer recognition and behavior improvement (0.1153), performances of round visiting inspection on foodservice, sanitary, safety management, and foodservice consulting (0.0913). Our results showed that the recognition differences exist on the relative importance of perspectives and KPIs between officials of CCFSM, KFDA, local government and foodservice management experts. These observations will form the basis for developing evaluation systems, and it is considered that performance indicators developed on this basis will suggest direction of operation which CCFSM will have to perform.

• 한국지역지리학회지
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• 제11권6호
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• pp.517-529
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• 2005

연간 1,600여만 명이 찾는 대구 앞산에는 10여 개의 골짜기가 분포하며, 골짜기를 따라 이어지는 등산로에서는 다양한 지형 관찰이 가능하다. 본 연구에서는 탐방객들의 접근성과 지형자원 볼거리 면에서 세 곳의 골짜기(고산골.안지랑골.달비골)를 대상으로 지오투어리즘(geo-tourism) 관점에서 지형관찰 학습장 및 탐방로를 조성하여 보았다. 1) 앞산에서 볼 수 있는 대표적인 지형은 하식애, 풍화동굴, 수직암벽, 건열화석, 연흔화석, 습곡지형, 판상절리지형, 너덜지대, 선상지, 돌개구멍, 단층선, 가마솥바위, 주상절리지형, 변성암 등이다. 2) 앞산에서 볼 수 있는 지형을 대상으로 일반인도 이해할 수 있을 정도 수준의 설명문을 개발하였다. 3) 탐방객들의 학습효과를 높이기 위하여 골짜기별, 탐방객 체류 시간별로 아홉 가지의 지형관찰 탐방로를 개발하였다.

• 한국수자원학회논문집
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• 제41권10호
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• pp.1059-1065
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• 2008

강우자료는 수문 해석에 있어 가장 기본이 되는 입력 자료이며, 다양한 원인에 의해 결측이 발생된다. 본 연구에서는 복잡한 자연현상 문제 해결에 그 응용성이 입증된 신경망 기법을 이용하여 결측 처리된 강우를 추정하기 위해서 소양강댐 유역 12개 강우량 관측소를 대상으로 신경망 모형을 구축하였으며, 모형의 성능 평가를 위해 실무에서 가장 많이 사용되고 있는 우량 보정 방법인 역거리법(RDS)과 산술평균법(AMM)으로 추정한 값과 비교하여 신경망을 이용한 추정 방법의 우수성을 보였다. 그리고 온라인상에서 보다 신뢰성 있는 수문자료를 재난관련 유관기관으로 전송하기 위해서 신경망 모형을 이용한 상시 실시간 보정이 가능하도록 신경망 학습기로 구성된 자동 보정시스템을 제안하였다.

• 과학기술학연구
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• 제2권1호
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• pp.39-61
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• 2002

본 연구에서는 전후 선진국을 중심으로 이루어진 기술혁신정책의 기조변화와 그것을 반영하고 또 선도하는 기술혁신이론의 전환을 살펴보았다. 1980-90년대를 전후해서 등장한 새로운 기술혁신정책의 기조는 사용자 지향성의 강화, 임무지향성에서 경제 사회 지향성으로의 전환, 능력의 향상 등으로 요약될 수 있다. 한편 정책기조의 이와 같은 변화는 혁신체제론을 통해 기술혁신이론에 반영되었다. 상호작용적 학습과 혁신능력을 중심으로 논의를 전개하고 있는 혁신체제론은 이러한 기술혁신정책의 변화를 이론체계 내에 상당부분 수용하였다. 그러나 최근 기술혁신정책에서 강조되고 있는 사회적 측면들은 아직까지 혁신체제론에서 본격적으로 다루어지지 않고 있다. 이 글에서는 향후 혁신체제론의 중요한 연구과제 중의 하나를 '사회'를 이론체계 속에 포괄하는 것으로 파악하고 그러한 작업을 위한 출발점이 될 수 있는 논의를 다루었다.

• 디지털산업정보학회논문지
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• 제15권3호
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• pp.207-223
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• 2019

This study aims to explore the casual relation between construction company employees' Self-Leadership and two variables: Organization Citizenship Behaviour and Organizational Trust through Psychology Empowerment. To explain in details, this study examines how the independent variable, Self Leadership, with its behavior-focused, natural reward and constructive thought pattern strategies, affects the dependent variable, Organization Citizenship Behavior and Organizational Trust through the intervening variable, Psychology Empowerment. A survey was conducted on current employees of construction companies in metropolitan areas to empirically examine the research model. The result of study hypothesis on Self-Leadership is as follows; first, Self-Leadership showed a positive effect on Psychology Empowerment, Organization Citizenship Behaviour and Organizational Trust. Second, Psychology Empowerment showed a positive effect on Organization Citizenship Behaviour. Third, Psychology Empowerment showed a positive effect on Organizational Trust. The capacity of individuals is critical when it comes to competitiveness of construction companies. When employees willingly participate in building trust within the company, the work place will become more and more constructive; based on trust, efficiency will increase because people from different processes can work together and performance will also improve even when project managers are absent because others could help their role instead, thus driving more efficient human resource management to the company. To conclude, a company's vision can be spread wide and far when their employees engage themselves in Learning Organization with Self Leadership. They will also be satisfied with their work through improving interpersonal relationship at work.

• International Journal of Advanced Culture Technology
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• 제8권4호
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• pp.82-88
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• 2020

With the development of medical care in the 21st century and the rapid development of the 4th industry, electronic devices and household goods taking into account the physical and mental aging of the silver generation have been developed, and apps related to health and health are generally developed and operated. The apps currently used by the silver generation are a form that provides information on diseases by focusing on prevention rather than treatment, such as safety management apps for the elderly living alone and methods for preventing diseases. There are not many apps that provide information on foods that have a direct effect and nutrients in that food, and research on apps that can obtain information about individual foods is insufficient. In this paper, we propose an app that analyzes food factors and provides self-medication for health promotion of the silver generation. This app allows the silver generation to conveniently and easily obtain information such as nutrients, calories, and efficacy of food they need. In addition, this app collects/categorizes healthy food information through a textom solution-based crawling agent, and stores highly relevant words in a data resource. In addition, wide deep learning was applied to enable self-medication recommendations for food. When this technique is applied, the most appropriate healthy food is suggested to people with similar eating patterns and tastes in the same age group, and users can receive recommendations on customized healthy foods that they need before eating. This made it possible to obtain convenient healthy food information through a customized interface for the elderly through a smartphone.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제14권12호
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• pp.4682-4705
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• 2020

The Unmanned Aerial Vehicles (UAV) networks consisting of low-cost UAVs are very vulnerable to smart jammers that can choose their jamming policies based on the ongoing communication policies accordingly. In this article, we propose a novel cloud and edge-aided mobile communication scheme for low-cost UAV network against smart jamming. The challenge of this problem is to design a communication scheme that not only meets the requirements of defending against smart jamming attack, but also can be deployed on low-cost UAV platforms. In addition, related studies neglect the problem of decision-making algorithm failure caused by intermittent ground-to-air communication. In this scheme, we use the policy network deployed on the cloud and edge servers to generate an emergency policy tables, and regularly update the generated policy table to the UAVs to solve the decision-making problem when communications are interrupted. In the operation of this communication scheme, UAVs need to offload massive computing tasks to the cloud or the edge servers. In order to prevent these computing tasks from being offloaded to a single computing resource, we deployed a lightweight game algorithm to ensure that the three types of computing resources, namely local, edge and cloud, can maximize their effectiveness. The simulation results show that our communication scheme has only a small decrease in the SINR of UAVs network in the case of momentary communication interruption, and the SINR performance of our algorithm is higher than that of the original Q-learning algorithm.

• 한국전자통신학회논문지
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• 제18권1호
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• pp.39-44
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• 2023

태양광, 풍력 등의 신재생 에너지는 기상조건 및 환경변화에 민감한 자원이다. 설치위치 및 구조에 따른 설비의 발전량이 달라질 수 있기 때문에 정확한 발전량 예측은 중요하다. 기상 빅데이터를 활용하여 주성분 분석을 기반으로 데이터 전처리 과정을 진행하여 신재생 에너지 발전량 예측 시 영향을 미치는 피처간의 관계를 모니터링하였다. 또한, 본 연구에서는 영향을 미치는 민감도에 따라 데이터셋을 재구성하여 머신러닝 모델에 적용하여 예측도를 테스트하였다. 제안한 모형을 사용하여 신재생 에너지를 대상으로 기상환경에 따라 에너지 발전량을 예측하고 해당 시점의 실제 생산 값과 비교함으로써 랜덤 포레스트 회귀 분석을 적용한 에너지 발전량 예측에 대한 성능을 확인하였다.

• International Journal of Computer Science & Network Security
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• 제22권12호
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• pp.185-196
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• 2022

The Internet of Things (IoT) has become more and more widespread in recent years, thus attackers are placing greater emphasis on IoT environments. The IoT connects a large number of smart devices via wired and wireless networks that incorporate sensors or actuators in order to produce and share meaningful information. Attackers employed IoT devices as bots to assault the target server; however, because of their resource limitations, these devices are easily infected with IoT malware. The Distributed Denial of Service (DDoS) is one of the many security problems that might arise in an IoT context. DDOS attempt involves flooding a target server with irrelevant requests in an effort to disrupt it fully or partially. This worst practice blocks the legitimate user requests from being processed. We explored an intelligent intrusion detection system (IIDS) using a particular sort of machine learning, such as Artificial Neural Networks, (ANN) in order to handle and mitigate this type of cyber-attacks. In this research paper Feed-Forward Neural Network (FNN) is tested for detecting the DDOS attacks using a modified version of the KDD Cup 99 dataset. The aim of this paper is to determine the performance of the most effective and efficient Back-propagation algorithms among several algorithms and check the potential capability of ANN- based network model as a classifier to counteract the cyber-attacks in IoT environments. We have found that except Gradient Descent with Momentum Algorithm, the success rate obtained by the other three optimized and effective Back- Propagation algorithms is above 99.00%. The experimental findings showed that the accuracy rate of the proposed method using ANN is satisfactory.

• Journal of Forest and Environmental Science
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• 제39권2호
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• pp.105-117
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• 2023

Climate change and invasive alien plant species (IAPs) are having a significant impact on mountain ecosystems. The combination of climate change and socio-economic development is exacerbating the invasion of IAPs, which are a major threat to biodiversity loss and ecosystem functioning. Species distribution modelling has become an important tool in predicting the invasion or suitability probability under climate change based on occurrence data and environmental variables. MaxEnt modelling was applied to predict the current suitable distribution of most noxious weed A. adenophora (Spreng) R. King and H. Robinson and analysed the changes in distribution with the use of current (year 2000) environmental variables and future (year 2050) climatic scenarios consisting of 3 representative concentration pathways (RCP 2.6, RCP 4.5 and RCP 8.5) in Bhutan. Species occurrence data was collected from the region of interest along the road side using GPS handset. The model performance of both current and future climatic scenario was moderate in performance with mean temperature of wettest quarter being the most important variable that contributed in model fit. The study shows that current climatic condition favours the A. adenophora for its invasion and RCP 2.6 climatic scenario would promote aggression of invasion as compared to RCP 4.5 and RCP 8.5 climatic scenarios. This can lead to characterization of the species as preferring moderate change in climatic conditions to be invasive, while extreme conditions can inhibit its invasiveness. This study can serve as reference point for the conservation and management strategies in control of this species and further research.