• KSII Transactions on Internet and Information Systems (TIIS)
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• 제15권10호
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• pp.3834-3857
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• 2021

The design of cluster-based routing protocols is necessary for Wireless Sensor Networks (WSN). But, due to the lack of features, the traditional methods face issues, especially on unbalanced energy consumption of routing protocol. This work focuses on enhancing the security and energy efficiency of the system by proposing Energy Efficient Based Secure Routing Protocol (EESRP) which integrates trust management, optimization algorithm and key management. Initially, the locations of the deployed nodes are calculated along with their trust values. Here, packet transfer is maintained securely by compiling a Digital Signature Algorithm (DSA) and Elliptic Curve Cryptography (ECC) approach. Finally, trust, key, location and energy parameters are incorporated in Particle Swarm Optimization (PSO) and meta-heuristic based Harmony Search (HS) method to find the secure shortest path. Our results show that the energy consumption of the proposed approach is 1.06mJ during the transmission mode, and 8.69 mJ during the receive mode which is lower than the existing approaches. The average throughput and the average PDR for the attacks are also high with 72 and 62.5 respectively. The significance of the research is its ability to improve the performance metrics of existing work by combining the advantages of different approaches. After simulating the model, the results have been validated with conventional methods with respect to the number of live nodes, energy efficiency, network lifetime, packet loss rate, scalability, and energy consumption of routing protocol.

• 한국정보디스플레이학회:학술대회논문집
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• 한국정보디스플레이학회 2006년도 6th International Meeting on Information Display
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• pp.647-650
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• 2006

Low temperature polycrystalline silicon (LTPS) technology using a high power laser have been widely applied to thin film transistors (TFTs) for liquid crystal, organic light emitting diode (OLED) display, driver circuit for system on glass (SOG) and static random access memory (SRAM). Recently, the semiconductor industry is continuing its quest to create even more powerful CPU and memory chips. This requires increasing of individual device speed through the continual reduction of the minimum size of device features and increasing of device density on the chip. Moreover, the flat panel display industry also need to be brighter, with richer more vivid color, wider viewing angle, have faster video capability and be more durable at lower cost. Kornic Systems Co., Ltd. developed the $KORONA^{TM}$ LTP/GLTP series - an innovative production tool for fabricating flat panel displays and semiconductor devices - to meet these growing market demands and advance the volume production capabilities of flat panel displays and semiconductor industry. The $KORONA^{TM}\;LTP/GLTP$ series using DPSS laser and XeCl excimer laser is designed for the new generation of the wafer & FPD glass annealing processing equipment combining advanced low temperature poly-silicon (LTPS) crystallization technology and object-oriented software architecture with a semistandard graphical user interface (GUI). These leading edge systems show the superior annealing ability to the conventional other method. The $KORONA^{TM}\;LTP/GLTP$ series provides technical and economical benefits of advanced annealing solution to semiconductor and FPD production performance with an exceptional level of productivity. High throughput, low cost of ownership and optimized system efficiency brings the highest yield and lowest cost per wafer/glass on the annealing market.

• 한국인터넷방송통신학회논문지
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• 제11권5호
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• pp.19-25
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• 2011

최근 그린 IT 기술이 이슈화 되면서 전 세계적으로 탄소 배출을 낮추고 에너지 효율을 높일 수 있는 환경 친화적인 광원에 대한 연구가 활발히 진행되고 있으며, 특히 고유가와 환경오염 등의 문제로 기존의 백열등이나 형광등을 대체하기 위한 새로운 광원으로 LED가 크게 주목을 받고 있다. 본 논문에서는 저전력, 고효율, 고휘도의 LED 모듈에 온도, 습도, 조도, 그리고 이동 감지 센서를 포함한 복합 센서 모듈을 조합하여 가로등을 지능화하고, ZigBee 모듈을 이용하여 가로등 간에 IT기술인 USN 망 융합을 통하여, 가로등 시스템을 중앙에서 모니터링하고 지역 특성에 따라 선택적으로 가로등의 점멸을 원격으로 제어함으로써 효과적으로 에너지 절약을 극대화할 수 있는 Ad-Hoc망 기반 LED-IT-Sensor 통합 가로등을 설계하고 구현하였다.

• 정보과학회 논문지
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• 제43권1호
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• pp.61-70
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• 2016

근래에 들어 다양한 시멘틱 서비스를 위하여 기존의 지식을 바탕으로 새로운 지식을 고속으로 추론할 수 있는 대용량 온톨로지 추론 기법이 요구되고 있다. 이런 추세에 따라 대규모의 클러스터를 활용하는 하둡 및 Spark 프레임워크 기반의 온톨로지 추론 엔진 개발이 연구되고 있다. 또한, 기존의 CPU에 비해 많은 코어로 구성되어 있는 GPGPU를 활용하는 병렬 프로그래밍 방식도 온톨로지 추론에 활용되고 있다. 앞서 말한 두 가지 방식의 장점을 결합하여, 본 논문에서는 RDFS 대용량 온톨로지 데이터를 인-메모리 기반 프레임워크인 Spark를 통해 분산시키고 GPGPU를 이용하여 분산된 데이터를 고속 추론하는 방법을 제안한다. GPGPU를 통한 온톨로지 추론은 기존의 추론 방식보다 저비용으로 고속 추론을 수행하는 것이 가능하다. 또한 Spark 클러스터의 각 노드를 통하여 대용량 온톨로지 데이터에 대한 부하를 줄일 수 있다. 본 논문에서 제안하는 추론 엔진을 평가하기 위하여 LUBM10, 50, 100, 120에 대해 추론 속도를 실험하였고, 최대 데이터인 LUBM120(약 1백7십만 트리플, 2.1GB)의 실험 결과, 인-메모리(Spark) 추론 엔진 보다 7배 빠른 추론 성능을 보였다.

• Nuclear Engineering and Technology
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• 제54권1호
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• pp.36-48
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• 2022

As a valid numerical method to obtain a high-resolution result of a flow field, computational fluid dynamics (CFD) have been widely used to study coolant flow and heat transfer characteristics in fuel rod bundles. However, the time-consuming, iterative calculation of Navier-Stokes equations makes CFD unsuitable for the scenarios that require efficient simulation such as sensitivity analysis and uncertainty quantification. To solve this problem, a reduced-order model (ROM) based on proper orthogonal decomposition (POD) and machine learning (ML) is proposed to simulate the flow field efficiently. Firstly, a validated CFD model to output the flow field data set of the rod bundle is established. Secondly, based on the POD method, the modes and corresponding coefficients of the flow field were extracted. Then, an deep feed-forward neural network, due to its efficiency in approximating arbitrary functions and its ability to handle high-dimensional and strong nonlinear problems, is selected to build a model that maps the non-linear relationship between the mode coefficients and the boundary conditions. A trained surrogate model for modes coefficients prediction is obtained after a certain number of training iterations. Finally, the flow field is reconstructed by combining the product of the POD basis and coefficients. Based on the test dataset, an evaluation of the ROM is carried out. The evaluation results show that the proposed POD-ROM accurately describe the flow status of the fluid field in rod bundles with high resolution in only a few milliseconds.

• Smart Structures and Systems
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• 제32권5호
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• pp.319-338
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• 2023

The study presents a new hybrid data-driven method by combining radial basis functions neural networks (RBF-NN) with the Jaya algorithm (JA) to provide effective structural health monitoring of arch dams. The novelty of this approach lies in that only one user-defined parameter is required and thus can increase its effectiveness and efficiency, as compared to other machine learning techniques that often require processing a large amount of training and testing model parameters and hyper-parameters, with high time-consuming. This approach seeks rapid damage detection in arch dams under dynamic conditions, to prevent potential disasters, by utilizing the RBF-NNN to seamlessly integrate the dynamic elastic modulus (DEM) and modal parameters (such as natural frequency and mode shape) as damage indicators. To determine the dynamic characteristics of the arch dam, the JA sequentially optimizes an objective function rooted in vibration-based data sets. Two case studies of hyperbolic concrete arch dams were carefully designed using finite element simulation to demonstrate the effectiveness of the RBF-NN model, in conjunction with the Jaya algorithm. The testing results demonstrated that the proposed methods could exhibit significant computational time-savings, while effectively detecting damage in arch dam structures with complex nonlinearities. Furthermore, despite training data contaminated with a high level of noise, the RBF-NN and JA fusion remained the robustness, with high accuracy.

• Korean Chemical Engineering Research
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• 제47권1호
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• pp.133-140
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• 2009

본 연구에서는 투과도 80 md, 하이드레이트 포화도 30%의 다중공 평판형 시스템에서 열자극 감압법에 의한 생산실험을 수행하여 하이드레이트의 해리양상 및 생산효율을 관측 및 분석하였다. 감압의 크기에 따른 실험결과에서, 운영 압력을 낮게 설정하면 높은 가스회수율을 얻을 수 있지만 생산초기 나타나는 강한 펄스가 생산전 운영에 무리를 줄 수 있다고 판단되었다. 또한 흡열반응에 의한 하이드레이트 재형성으로 오히려 회수율이 감소하는 경우가 발생하였다. 감압법 적용시의 생산거동을 더 상세히 분석하기 위해, 감압크기 140 psi와 320 psi에 대해 각각 4, 6회의 반복실험을 진행하였다. 그 결과, 140 psi로 감압크기를 설정한 경우, 생산초기에 불안정한 거동이 나타나지만, 빠르게 안정화됨을 알 수 있었다. 320 psi의 실험결과에서 불연속적이며 간헐적인 생산거동을 확인할 수 있었다. 열자극 실험은 안정적인 생산거동을 보이며 회수율이 비교적 낮아 열자극의 효과를 잘 관찰할 수 있는 압력차 80 psi를 적정운영 압력으로 설정하여 수행하였다. 열자극감압 혼용기법의 결과로부터 열자극시간이 증가할수록 가스회수율은 증가하였지만, 반면 에너지효율은 오히려 감소하는 것으로 나타났다. 열을 2분간 가한 후 열흡수 시간을 1분으로 설정한 경우 본 시스템에서는 회수율이 상승하였으며, 에너지효율 또한 증가되는 결과를 얻었다. 하지만, 열흡수 시간이 1분 이상일 경우 오히려 더 낮은 회수율과 에너지효율을 보였는데 이는 긴 열흡수 시간으로 인한 열손실에 기인한 것으로 판단된다.

• 동의신경정신과학회지
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• 제26권4호
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• pp.337-348
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• 2015

Objectives: The purpose of this study was to review previous clinical studies on underlying mechanisms of sleep-related type-specific pathophysiological symptoms among the Sasang types. Methods and Procedure: We reviewed seven research databases from December 2003 to August 2015 with the keywords Sasang typology, constitution and sleep. The Sasang type-specific sleep-related symptoms were analyzed based on seven categories, including subjective sleep quality, sleep latency, sleep duration, habitual sleep efficiency, sleep disturbances, use of sleep medications and daytime dysfunction. Results: Total of twelve studies were included in the analysis. The Tae-Yang type showed low subjective sleep quality, long sleep latency and frequent awakening, and the So-Yang type showed long sleep latency. The Tae-Eum type presented high subjective sleep quality, short sleep duration, frequent snore, toss and turn during the sleep, and insomnia and low frequency of dream. The So-Eum type showed long sleep latency in male and high frequency of dream. The Eum type combining Tae-Eum and So-Eum types had higher subjective sleep quality, longer sleep duration and higher frequency of dream than the Yang type combining Tae-Yang and So-Yang types.Conclusions This study reviewed type-specific sleep-related characteristics and discussed possible pathophysiological mechanisms involved. Differences in sleep characteristics among the Sasang types might stem from type-specific temperaments and require further study.

• 전자공학회논문지
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• 제50권8호
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• pp.21-27
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• 2013

본 논문에서는 Turbo coded BICM-ID (bit-interleaved coded modulation with iterative decoding)의 구현 복잡도를 개선하기 위한 기법을 제안한다. 터보 부호는 Shannon 한계에 근접하는 우수한 성능을 나타내는 오류정정부호 (error correction code)이며 터보 부호와 고차원 변조 (high order modulation)를 결합하여 전송효율을 개선할 수 있다. BICM (bit-interleaved coded modulation)은 채널 부호와 고차원 변조 사이에 이진 인터리버를 사용하는 기법이며 복호기와 복조기 간에 정보를 주고받으며 반복 복호 (iterative decoding)를 수행하는 BICM-ID를 이용하여 성능을 개선 할 수 있다. BICM-ID는 BICM과 비교하였을 때 반복 복호로 인하여 비트오율 (bit error rate) 성능이 개선되지만 구현 복잡도가 크게 증가하는 단점이 있다. 본 논문에서는 Turbo coded BICM-ID에서 구현 복잡도를 개선하기 위한 기법을 제안한다. 제안하는 기법은 기존에 제안된 Turbo coded BICM-ID 기법과 유사한 비트오율 (bit error rate) 성능을 나타내면서 구현 복잡도를 크게 감소시킬 수 있는 장점이 있다.

• Bulletin of the Korean Chemical Society
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• 제26권3호
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• pp.440-446
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• 2005

A method is described for the determination of dibutyltin (DBT) in sediment by isotope dilution using liquid chromatography inductively-coupled plasma/mass spectrometry (LC-ICP/MS). To achieve the highest accuracy and precision, special attentions are paid in optimization and evaluation of overall processes of the analysis including extraction of analytes, characterization of the standards used for calibration and LC-ICP/MS conditions. An approach for characterization of natural abundance DBT standard has been developed by combining inductively-coupled plasma/optical emission spectrometry (ICP/OES) and LC-ICP/MS for the total Sn assay and the analysis of Sn species present as impurities, respectively. An excellent LC condition for separation of organotin species was found, which is suitable for simultaneous DBT and tributyltin (TBT) analysis as well as impurity analysis of DBT standards. Microwave extraction condition was also optimized for high efficiency while preventing species transformation. The present method determines the amount contents of DBT in sediments with expanded uncertainty of less than 5% and its result shows high degree of equivalence with reference values of an international inter-comparison and a certified reference material (CRM) within stated uncertainties.