• Agribusiness and Information Management
• /
• 제7권1호
• /
• pp.1-9
• /
• 2015

The purpose of this study is to develop a growth prediction model that can predict growth and development information influencing the production of citrus fruits: the growth model algorithm that can predict floral leaf ratio, number of fruit sets, fruit width, and overweight depending on the main period of growth and development with consideration of the applied weather factors. Every year, large scale of manpower was mobilized to investigate the production of outdoor-grown citrus fruits, but it was limited to recycling the data without an observation supporting system to systemize the database. This study intends to create a systematical database based on the basic data obtained through the observation supporting system in application of an algorithm according to the accumulated long term data and prepare a base for its continuous improvement and development. The importance of the observed data is increasingly recognized every year, and the citrus fruit observation supporting system is important for utilizing an effective policy and decision making according to various applications and analysis results through an interconnection and an integration of the investigated statistical data. The citrus fruit is a representative crop having a great ripple effect in Jeju agriculture. An early prediction of the growth and development information influencing the production of citrus fruits may be helpful for decision making in supply and demand control of agricultural products.

• 디지털융복합연구
• /
• 제11권3호
• /
• pp.59-71
• /
• 2013

클라우드 서비스(아마존 웹서비스 등)를 활용하여 글로벌 경쟁력을 갖춘 중소업체의 온라인 서비스(예. Zynga, 파프리카랩)가 등장하거나 금융시장 분석서비스가 클라우드를 활용하는 등 클라우드의 활용도가 높아지고 있으나, 국내 중소기업의 클라우드 이용은 아직 낮은 수준에 머물고 있다. 특히, PaaS(플랫폼 클라우드)가 성장하면서 모듈화된 인터넷 도구를 손쉽게 활용하여 비즈니스를 개발하는 행태가 증가할 것으로 전망되는 만큼, 국내기업의 IT부문 경쟁력 제고를 위하여 국내외 도입 성공사례를 연구하였다.

• 환경정책연구
• /
• 제8권4호
• /
• pp.37-49
• /
• 2009

90년대 이후 용수관리 정책이 공급중심에서 수요관리로 정책 전환이 되면서 공업용수 수요량이 급격히 감소하였다. 본 연구에서는 공업용수 사용의 기술적 효율성을 분석하여 이러한 공업용수 수요량 감소가 공업용수의 사용이 효율적으로 이루어진 결과인지 검토하고 향후 공업용수의 기술적 효율성 제고를 통하여 공업용수 사용량을 더 줄일 수 있는지 검토하였다. 본 연구결과에 의하면 공업용수의 기술적 효율성은 1998년도 0.5183에서 2003년도에는 0.4853으로 도리어 약간 감소한 것으로 나타났다. 이는 다른 투입요소의 기술적 효율성에 비하여 낮은 수치로 앞으로 기술적 효율성 제고를 통하여 공업용수 사용량을 더 절감할 수 있음을 보여준다.

• ETRI Journal
• /
• 제34권3호
• /
• pp.308-318
• /
• 2012

As mobile markets in most developed countries are rapidly coming close to saturation, it is increasingly challenging to cover the cost of providing the network, as revenues are not growing. This has driven mobile operators, thus far mostly involved in facility-based competition, to turn their attention to network sharing. There exist various types of mobile network sharing (MNS), from passive to active sharing. In this paper, we propose a model, based on the supply-demand model, for evaluating the economic effects of using six types of MNS. Our study measures the economic effects of employing these six types of MNS, using actual WiBro-related data. Considering lower service price and expenditure reduction, the total economic effect from a year's worth of MNS use is estimated to be between 513 million and 689 million USD, which is equal to three to four percent of the annual revenue of Korean mobile operators. The results of this study will be used to support the establishment of a MNS policy in Korea. In addition, the results can be used as a basic model for developing various network sharing models.

• 디지털융복합연구
• /
• 제9권2호
• /
• pp.141-152
• /
• 2011

오늘날 데이터센터는 비즈니스에서 핵심영역으로 인식되고 있으며, 이들에 대한 많은 서비스 요구는 보다 많은 에너지 소비를 낳고 있다. 따라서 데이터센터의 높은 수준의 에너지 효율성은 구축, 운영, 폐기 등 그들의 생명주기에 있어서 핵심이슈로 등장하였다. 본 연구에서는 이러한 생명기상에서 데이터센터의 그린화 수준을 진단할 수 있도록 성숙도모델에 기초한 그린데이터센터 수준진단모델을 제시한다. 본 연구에서 제시한 수준진단 모델은 엑션추어 GMM, DCEEF 등 기존 에너지평가모델 및 그린데이터센터 성숙도평가 모델을 참조하였으며, 최종적으로 건축, 공조, 전기, IT, 조직 등 데이터센터의 5개 핵심영역에 대한 진단지표를 제안하였다.

• 한국수자원학회:학술대회논문집
• /
• 한국수자원학회 2010년도 학술발표회
• /
• pp.447-451
• /
• 2010

It is quite important for manufacturing firms to stably secure water, because industrial water is used for a variety of purposes as one of the important inputs in the production process. Despite the significance of industrial water use and the increase of industrial water demand, relatively little has studied regarding the industrial water use in Korea. This paper employs the marginal productivity approach in order to estimate the economic value of water in Korean manufacturing industry, and we use the information of 53,912 factories surveyed in 2003. The result of the likelihood ratio test shows that Trans-log is an appropriate model for estimating the data of this study. In Trans-log function model, the industry-wide output elasticity of water is 0.0104, and the marginal value is KRW 1,156 per ton. The estimated values differ across the sectors and these values range from the high value of about KRW 13,760 per ton in the transportation equipment sector to low values of KRW 428 per ton in the precision instrument sector. The research provides useful information to help policy-makers in developing and implementing more appropriate policies regarding the management and distribution of water resources by estimating the value of water resources by sector. In addition, Korean government enables the drafting of future water pricing scenarios based on the estimated value information.

• 한국농공학회논문집
• /
• 제46권1호
• /
• pp.107-117
• /
• 2004

Hourly monitoring data from Saemangeum estuary, which is expected to become freshwater, was analyzed to evaluate the water quality characteristics. Higher algal growth at spring season than winter influenced the high ratio of organic nitrogen to total nitrogen and concentration of chemical oxygen demand (COD). About 87.9％ and 59.7％ of organic nitrogen was observed at winter season and spring season, respectively. Daily salinity analysis at the mouth of two main rivers demonstrated that the Dongjin in river was more influenced by tidal effect and showed higher variation than the Mankyung river. The ratio of nitrogen to phosphorus (N/P ratio) was different with site (estuary versus sea area) and season (winter versus spring) remarkably. The N/P ratio was highest (32.74 ∼ 43.93) at estuary in winter and was lowest (1.78 ∼ 3.06) at sea in spring. The high N/P ratio at estuary area implies that phosphorus can be the limiting nutrient factor for algal growth as in general freshwater river, therefore, water quality management practice considering river characteristics rather might be needed in the Saemangeum estuary. The Saemangeum project is nationally recognized for its environmental issues, and especially water quality concern is a critical factor to make policy decision and further assessment with continued monitoring is strongly recommended.

• 한국산업융합학회 논문집
• /
• 제21권5호
• /
• pp.207-217
• /
• 2018

Recently, the importance of energy demand management, particularly peak load control, has been increasing due to the policy changes of the Second Energy Basic Plan. Even though the installation of distributed generation systems such as Photovoltaic and energy storage systems (ESS) are encouraged, high initial installation costs make it difficult to expand their supply. In this study, the power consumption of a university building was measured in real time and the measured power consumption data was used to calculate the optimal installation capacity of the Photovoltaic and ESS, respectively. In order to calculate the optimal capacity, it is necessary to analyze the operation methods of the Photovoltaic and ESS while considering the KEPCO electricity billing system, power consumption patterns of the building, installation costs of the Photovoltaic and ESS, estimated savings on electric charges, and life time. In this study, the power consumption of the university building with a daily power consumption of approximately 200kWh and a peak power of approximately 20kW was measured per minute. An economic analysis conducted using these measured data showed that the optimal capacity was approximately 30kW for Photovoltaic and approximately 7kWh for ESS.

• 한국정보통신학회:학술대회논문집
• /
• 한국정보통신학회 2014년도 춘계학술대회
• /
• pp.538-541
• /
• 2014

점차 사람들이 요구하는 스마트폰의 사양이 높아지면서 빠른 속도의 무선통신, 높은 화소의 카메라와 그래픽 처리 능력 등의 기능을 갖춘 고성능의 스마트폰이 등장하였다. 이에 전통적인 AR(Augment Reality) 기술이 모바일 기기에서 가능해지면서 AR이 스마트폰 어플리케이션으로 보급되어 휴대성이 증대 되었다. 하지만 스마트폰에서 구현된 AR은 어플리케이션의 메모리 사용량이 높다는 문제점이 있다. 본 연구는 이러한 메모리 문제점을 해결하기 위하여 증강현실 오픈소스인 Mixare을 활용하여 설계 및 구현하였고 이를 기반으로 모바일 기반 증강현실 어플리케이션의 메모리 사용량의 감소방안을 제시한다.

• Asia Pacific Journal of Business Review
• /
• 제5권2호
• /
• pp.19-44
• /
• 2021

Sub Saharan Africa (SSA) is receiving increased investments in the energy sector under the belt and road initiative (BRI) project since its inception in 2013. SSA has a worse energy efficiency ratio coupled with deficient electricity access, through analysis showed varied impacts on the SSA countries due to the BRI initiative. This study dilves into the influencing factors for Energy Efficiency (EE) in 38 SSA countries, applying the probit and logit approach for 2000-2018. The Multiple-regression model shows significant results of some variables such as foreign direct investment, gross domestic product, and port infrastructure quality being significant on EE under BRI initiative countries. However, the logit and probit models produce similar results and the marginal effect for the entire variable, except energy imports that do not likely impact EE. Furthermore, the interaction of quality of port infrastructure and foreign direct investment variables produces significant results, highlighting the increased investments SSA receives under the BRI initiative in the energy and transport sectors. The model Percent correctly predicted (PCP) value was about 84%, indicating it correctly classified the variables and about 16% not classified. The study recommends EE performance standards should be incorporated on energy projects in SSA to ensure that these projects are energy efficient and decouple SSA's energy demand from economic growth. The research proffers suggestions for policy regarding the BRI initiative in SSA and the implications on sustainable energy and building a community with a shared future.