• Journal of Electrical Engineering and Technology
• /
• v.10 no.3
• /
• pp.1342-1348
• /
• 2015

The objective of this study is to propose a method to calculate prediction intervals for one-day-ahead hourly forecasts of photovoltaic power generation and to evaluate its performance. One year of data of two systems, representing contrasting examples of forecast’ accuracy, were used. The method is based on the maximum likelihood estimation, the similarity between the input data of future and past forecasts of photovoltaic power, and on an assumption about the distribution of the error of the forecasts. Two assumptions for the forecast error distribution were evaluated, a Laplacian and a Gaussian distribution assumption. The results show that the proposed method models well the photovoltaic power forecast error when the Laplacian distribution is used. For both systems and intervals calculated with 4 confidence levels, the intervals contained the true photovoltaic power generation in the amount near to the expected one.

• 한국연소학회:학술대회논문집
• /
• 2001.06a
• /
• pp.46-52
• /
• 2001

In this study, the generation of oxygen-free gas using catalytic combustion for industrial applications is explained ; heat treatment and copper annealing. For the experiment, Pd catalysts were determined by testing their catalytic activities over LPG in a micro-reactor. Combustion characteristics for the generation of oxygen-free atmospheric gas and the effect of flue gas upon surface oxidation were estimated form this experiment. As a result of the experimental investigation, we can state that the catalytic combustion could generate oxygen-free atmospheric gas suitable for industrial applications, but vapor produced by combustion process must be carefully considered as a new factor of surface oxidation.

• 제어로봇시스템학회:학술대회논문집
• /
• 2000.10a
• /
• pp.34-34
• /
• 2000

One of the basic goals, when considering networks for communication in industrial control applications, is the reduction of complexity of related wiring harnesses. In addition, the networking offers the advantages for industrial control applications, such as ease of cabling, ease of changes in the cabling, ease of adding controller modules, etc. CAN (Controller Area Network) is generally applied in car networking in order to reduce the complexity of the related wiring harnesses. These traditional CAN application techniques are modified to achieve the real time communication for the industrial control applications. In this paper, we propose the method of CAN Identifier assignment for Real-Time network system. This method is can be used to scheduling messages on CAN for Real-Time network system. And also, the real-time network system is developed and the proposed moth(Ids are verified experimentally.

• Industrial Engineering and Management Systems
• /
• v.12 no.4
• /
• pp.305-305
• /
• 2013

• KSBB Journal
• /
• v.20 no.5 s.94
• /
• pp.329-337
• /
• 2005

Because of their unique properties, supercritical fluids have been known as one of the most promising materials for the future technology. Supercritical fluid technologies have been widely applied to various operations such as extraction, impregnation, nano-particle generation, oxidation, reaction etc. Industrial applications, especially their successful usage of supercritical fluid, have been reviewed. A special case for the first successful industrial application of supercritical $CO_2$ extraction in Korea was reviewed. Its unique characteristics of enriched antioxidant, $'\grmma-tocopherol'$ enabled this industrial application in Korea in spite of its low market price. Also its size and operation conditions were known as world records.

• Proceedings of the KIEE Conference
• /
• 2007.07a
• /
• pp.418-420
• /
• 2007

본 논문은 전력IT 국책과제로 진행되는 EMS(Energy Management System) Network Applications(NA)의 개발로써 향후 개발될 한국형 EMS시스템에 탑재될 응용 프로그램 DB, 토폴로지 프로세서, 상태추정 등 실시간 계통해석에서 사용되는 프로그램들의 개발 현황을 중심으로 기술되어 있다.

• Journal of the Korean Society for Industrial and Applied Mathematics
• /
• v.22 no.1
• /
• pp.15-28
• /
• 2018

Recently Machine Learning algorithms are widely used to process Big Data in various applications and a lot of these applications are executed in run time. Therefore the speed of Machine Learning algorithms is a critical issue in these applications. However the most of modern iteration Machine Learning algorithms use a successive iteration technique well-known in Numerical Linear Algebra. But this technique has a very low convergence, needs a lot of iterations to get solution of considering problems and therefore a lot of time for processing even on modern multi-core computers and clusters. Tchebychev iteration technique is well-known in Numerical Linear Algebra as an attractive candidate to decrease the number of iterations in Machine Learning iteration algorithms and also to decrease the running time of these algorithms those is very important especially in run time applications. In this paper we consider the usage of Tchebychev iterations for acceleration of well-known K-Means and SVM (Support Vector Machine) clustering algorithms in Machine Leaning. Some examples of usage of our approach on modern multi-core computers under Apache Spark framework will be considered and discussed.

• Journal of Microbiology and Biotechnology
• /
• v.27 no.11
• /
• pp.1907-1915
• /
• 2017

Lipases are important enzymes with biotechnological applications in dairy, detergent, food, fine chemicals, and pharmaceutical industries. Specifically, hormone-sensitive lipase (HSL) is an intracellular lipase that can be stimulated by several hormones, such as catecholamine, glucagon, and adrenocorticotropic hormone. Bacterial hormone-sensitive lipases (bHSLs), which are homologous to the C-terminal domain of HSL, have ${\alpha}/{\beta}-hydrolase$ fold with a catalytic triad composed of His, Asp, and Ser. These bHSLs could be used for a wide variety of industrial applications because of their high activity, broad substrate specificity, and remarkable stability. In this review, the relationships among HSLs, the microbiological origins, the crystal structures, and the biotechnological properties of bHSLs are summarized.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.7 no.6
• /
• pp.1194-1199
• /
• 2006

In this paper, small printed antennas for MIMO applications are presented. The proposed antennas are based on PIFA structure which is a popular approach for miniaturization. The obtained antenna operates in IEEE802.11a band (5.15-5.35GHz) and has a planar structure which can be adopted for various potable applications. According to our simulation results, prototype antennas are manufactured and the isolation among the antenna elements are measured for MIMO applications. And we suggest a technique to improve isolation by adding a $\lambda$/4 slit between two antennas and investigate the results.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.13 no.9
• /
• pp.4429-4445
• /
• 2019

As low-power and low-rate WSNs are being widely used for industrial applications, the scheduling of such applications becomes a critical issue to guarantee meeting the stringent requirements of determinism and tight latencies. This paper studies the link scheduling problem for real-time industrial applications in time-slotted channel hopping (TSCH) networks. We propose a heuristic algorithm for centralized link scheduling referred to as path-collision aware least laxity first (PC-LLF) algorithm, which dynamically prioritizes the packets based on the laxity time to the end-to-end deadlines and the amount of collisions that messages might deal with along their designated paths to the destination device. We propose schedulability analysis of real-time applications scheduled under our prioritization approach over TSCH networks, based on the literature on real-time schedulability analysis of multiprocessors and distributed systems. We show that our methodology provides an improved schedulability condition with respect to the existing approaches. Performance evaluation studies quantify to quantify the performance of our proposed approach under a variety of scenarios.