• KIEAE Journal
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• 제13권5호
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• pp.59-66
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• 2013

Current Architectural Facade Designs have been trending to increased glass areas resulting in increasing impact on interior lighting and daylighting. In regards to indoor environmental quality, the increase in window space has a large impact on the daylighting received which ultimately impacts the liveability of a space. Especially when considering seasons, in the summer, excessive daylighting can result in glare as well as put an increased load in conditioning the air space further reducing energy efficiency. As a result, in order to improve the sustainability performance of a building, it is important to limit the natural lighting exposure to properly meet the needs and conditions of the building occupants. One of the most representative features to limit excessive sunlight exposure, is to incorporate operable blind systems. To this end, this research has been based on simulations performance through the Radiance Program. Radiance is capable of analyzing performance of daylight and impact of sunlight. Through analysis of different slat angles and blind shapes, impact and minimization of energy usage was evaluated. Furthermore, seasonal analysis was performed in order to understand the effects of seasonal climate factors. Ultimately this research provides an analysis of operable blinds optimization and effects of blind shape, control factors and angle of shading.

• 한국언론정보학보
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• 제74권
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• pp.72-108
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• 2015

진화하는 모바일 기술은 새로운 스마트폰을 출시하고, 주기적으로 이용자들에게 교체하도록 유도하면서 모바일 기술 속에 이용자들을 가두어놓는 것 같다. 그러나 단순히 기기의 이용이 기술 자체의 속성에 의해 전적으로 결정되는 것이 아닌 바, 이용자들이 '어떻게 수용하고 있으며 인지하고 있는가'에 따라 스마트함에 대한 의미에 차이가 발생할 것으로 보았다. 특히 이 연구에서는 스마트폰의 '스마트함', '스마트하게 이용한다'라는 현상적 개념을 '스마트한 이용'의 개념으로 구체화하였고, 2차 측정모형(second-order measurement model)을 통해 스마트한 이용의 구성개념을 검증하였다. 그 결과 8개로 구성되었던 1차 요인들은 6개로 축소되었는데, 이 과정에서 '사용준비성'과 '미디어 통합성'이 '다기능 사용 준비성'으로 묶였으며, '시간 효율성'과 '관계 연결성'이 '관리 효율성'으로 합쳐졌다. 결과적으로 '스마트한 이용'의 구성개념은 '다기능 사용 준비성', '관리 효율성', '미디어 일체감', '기기연결성', '이용자 중심 최적화', '외부연결성(being connected)'의 6개 요인으로 추출되었다. 이에 스마트한 이용이란, 스마트폰의 기기적 특성을 기반으로 모바일 공간 속에서의 자율적 활용 역량으로 적절히 조율되는 이용행태로 설명될 수 있을 것이다.

• 한국수산과학회지
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• 제36권5호
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• pp.528-534
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• 2003

The 2-D hydraulic experimental results for the submerged rubble-mound structure, we have been concerned with the slability/function characteristics of the structures by the effects of wave force, scour/deposition at the toe and the wave transmission ratio at the lee-side sea. So, to investigate the variation characteristics of the wave transmission ratio which depended on a geometrical structure of the submerged breakwater profiles, the critical conditions for the depth of submergence and crest width were obviously presented. In summary, the results lead us to the conclusion that the wave control capabilities of submerged breakwaters by the variation of the submergence depth is higher than about 4 times the degree at the efficiency than the that of crest width. The destruction of the covering block at the crest generated at the region which was located between the maximum and minimum damage curve, and it's maximum damage/failure station from the toe of the structure was $0.2\;L_s.$ As the wave transmission coefficient and the slope of the structure increase, the damage/failure ratio and the maximum scour depth at the toe was extended, respectively. When the maximum scour depth happened, the destruction of the covering block which was located at the toe generated at the front of the submerged rubble-mound breakwater. Finally, it was found from the results that the optimization of the structure may be obtained by the efficient decision of the submergence depth and crest width in the permissible range of the wave transmission ratio.

• 한국항공우주학회지
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• 제43권2호
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• pp.149-155
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• 2015

기존의 MEMS 기반 루버 및 셔터 개폐형 가변 방사율 라디에이터는 온도 조건에 따라 방사율이 가변되어 효율적인 열 제어가 가능하나 발사 환경에서의 기계적 구동부의 취약점과 변경된 방사율 유지를 위해 지속적인 전력 소모가 요구되는 단점을 갖는다. 본 연구에서 제안한 MEMS 기반 가변 방사율 라디에이터는 대전되는 비드를 사용하여 전극의 극성 변화에 따라 방사율 가변이 가능하기 때문에 상기의 문제점을 극복할 수 있다. 본 연구에서는 MEMS 기반 가변 방사율 라디에이터의 광학 물성치 최적화 설계를 수행하였으며, 고정 방사율 라디에이터와의 비교를 통해 MEMS 기반 가변 방사율 라디에이터의 유효성을 입증하였다.

• 한국미생물생명공학회:학술대회논문집
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• 한국미생물생명공학회 2005년도 2005 Annual Meeting & International Symposium
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• pp.230-232
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• 2005

The formation of insoluble aggregation of the recombinant kringle fragment of human apolipoprotein(a), rhLK8, in endoplasmic reticulum was identified as the rate-limiting step in the rhLK8 secretion in Saccharomyces cerevisiae. To analyze the protein secretion pathway, some of yeast genes closely related to protein secretion was rationally selected and their oligomer DNA were arrayed on the chip. The expression profiling of these genes during the induction of rhLK8 in fermentor fed-batch cultures revealed that several foldases including pdi1 gene were up-regulated in the early induction phase, whereas protein transport-related genes were up-regulated in the late induction phase. The coexpression of pdi1 gene increased rhLK8-folding capacity. Hence, the secretion efficiency of rhLK8 in the strain overexpressing pdi1 gene increased by 2-fold comparing in its parental strain. The oligomer DNA chip arrayed with minimum number of the genes selected in this study could be generally applicable to the monitoring system for the heterologous protein secretion and expression in Saccharomyces cerevisiae. With the optimization of fed-batch culture conditions and the alteration of genetic background of host, we obtained extracellular rhLK8 at higher yields than with Pichia pastoris systems, which was a 25-fold increased secretion level of rhLK8 compared to the secretion level at the initiation of this study.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제9권8호
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• pp.2774-2796
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• 2015

Quality-of-service (QoS) provisioning for a cognitive mesh network (CMN) with heterogeneous services has become a challenging area of research in recent days. Considering both real-time (RT) and non-real-time (NRT) traffic in a multihop CMN, [1] studied cross-layer resource management, including joint access control, route selection, and resource allocation. Due to the complexity of the formulated resource allocation problems, which are mixed-integer non-linear programming, a low-complexity yet efficient algorithm was proposed there to approximately solve the formulated optimization problems. In contrast, in this work, we present an application of genetic algorithm (GA) to re-address the hard resource allocation problems studied in [1]. Novel initialization, selection, crossover, and mutation operations are designed such that solutions with enough randomness can be generated and converge with as less number of attempts as possible, thus improving the efficiency of the algorithm effectively. Simulation results show the effectiveness of the newly proposed GA-based algorithm. Furthermore, by comparing the performance of the newly proposed algorithm with the one proposed in [1], more insights have been obtained in terms of the tradeoff among QoS provisioning for RT traffic, throughput maximization for NRT traffic, and time complexity of an algorithm for resource allocation in a multihop network such as CMN.

• 에너지공학
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• 제25권2호
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• pp.21-28
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• 2016

본 연구는 국내 상업용 대형 가스오븐 시스템 개발을 목표로 연소기의 연소조건에 대한 수치해석 및 실험을 통해 적정 당량비를 결정한 후 공급열량(20,000 kcal)에 적합한 열교환기를 설계하고 대류 팬 제어방법을 검토하여 상업용 대형 가스오븐 시스템 설계 및 최적운전조건을 도출하는 것이다. 실험결과 당량비는 0.82가 가장 적절하였고 오븐 내부 중앙지점의 온도가 $200^{\circ}C$까지 도달하는데 걸리는 시간은 대류 팬의 회전방향이 반시계방향일 때 시계방향 보다 단축되었다. 또한 오븐 내부의 온도를 균일하게 유지하기 위해서는 대류 팬 제동장치가 필요하였다. 오븐 내부의 승온구간과 온도유지구간 동안 배출되는 배기가스의 열량을 통해 시스템 효율을 비교한 결과 전열면적이 큰 열교환기를 설치한 시스템의 효율이 높게 나타났다.

• 인터넷정보학회논문지
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• 제11권1호
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• pp.1-13
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• 2010

네트워크 장비를 관리함에 있어서 환경에 따른 RED(Random Early Detection) 매개변수에 대한 설정은 쉽지 않은 일이다. 특히 관리자가 환경의 변화에 따라 일정한 서비스율을 유지하고 싶은 경우의 매개변수 설정은 더욱 쉽지 않은 일이다. 본 논문에서는 출력 큐에 멀티 코어 CPU를 탑재한 라우터를 가정하고 라우터의 출력 큐에, RED의 환경에 따른 매개변수의 최적화에 적합한 것으로 알려진, 인공지능의 유전 알고리즘을 직접적으로 도입하여 스스로 부하에 적응하는 AI RED(Artificial Intelligence RED)를 제안한다. AI RED는 FuRED(Fuzzy-Logic-based RED) 보다 단순하고 세밀하며, 실험을 통하여 AI RED가 찾아낸 RED 매개변수는 표준 RED 매개변수보다 환경에 더욱 잘 적응하는 효율적인 서비스를 제공하여 준다는 것을 확인 할 수 있다. RED 매개변수 관리의 자동화는 네트워크 관리의 측면에서 많은 효율성의 향상을 관리자에게 제공하여 줄 수 있다.

• Steel and Composite Structures
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• 제44권2호
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• pp.271-281
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• 2022

This study discusses challenges of running expandable profile liners (EPLs) to isolate trouble zones in directional section of a deep well, and summary the expandable profile liner technology (EPLT) field trial experience. Technically, the trial result reveals that it is feasible to apply the EPLT solving lost-circulation control problem and wellbore instability in the deep directional section. Propose schemes for optimizing the EPLT operation procedure to break through the existing bottleneck of EPLT in the deep directional section. Better-performing transition joints are developed to improve EPL string reliability in high borehole curvature section. High-performing and reliable expanders reduce the number of trips, offer excellent mechanical shaping efficiency, simplify the EPLT operation procedure. Application of the expansion and repair integrated tool could minimize the risk of insufficient expansion and increase the operational length of the EPL string. The new welding process and integrated automatic welding equipment improve the welding quality and EPL string structural integrity. These optimization schemes and recent new advancements in EPLT can bring significant economic benefits and promote the application of EPLT to meet future challenges.

• 품질경영학회지
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• 제51권1호
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• pp.55-65
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• 2023

Purpose: The purpose of this study is to propose an optimization process to improve product yield in the process using process data. Recently, research for low-cost and high-efficiency production in the manufacturing process using machine learning or deep learning has continued. Therefore, this study derives major variables that affect product defects in the manufacturing process using eXplainable Artificial Intelligence(XAI) method. After that, the optimal range of the variables is presented to propose a methodology for improving product yield. Methods: This study is conducted using the injection molding machine AI dataset released on the Korea AI Manufacturing Platform(KAMP) organized by KAIST. Using the XAI-based SHAP method, major variables affecting product defects are extracted from each process data. XGBoost and LightGBM were used as learning algorithms, 5-6 variables are extracted as the main process variables for the injection process. Subsequently, the optimal control range of each process variable is presented using the ICE method. Finally, the product yield improvement methodology of this study is proposed through a validation process using Test Data. Results: The results of this study are as follows. In the injection process data, it was confirmed that XGBoost had an improvement defect rate of 0.21% and LightGBM had an improvement defect rate of 0.29%, which were improved by 0.79%p and 0.71%p, respectively, compared to the existing defect rate of 1.00%. Conclusion: This study is a case study. A research methodology was proposed in the injection process, and it was confirmed that the product yield was improved through verification.