• The Journal of the Acoustical Society of Korea
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• v.30 no.8
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• pp.461-467
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• 2011

Accurate classification of input signals is the key prerequisite for variable bit-rate coding, which has been introduced in order to effectively utilize limited communication bandwidth. Especially, recent surge of multimedia services elevate the importance of speech/music classification. Among many speech/music classifier, the ones based on support vector machine (SVM) have a strong selling point, high classification accuracy, but their computational complexity and memory requirement hinder their way into actual implementations. Therefore, techniques that reduce the computational complexity and the memory requirement is inevitable, particularly for embedded systems. We first analyze implementation of an SVM-based classifier on embedded systems in terms of execution time and energy consumption, and then propose two techniques that alleviate the implementation requirements: One is a technique that removes support vectors that have insignificant contribution to the final classification, and the other is to skip processing some of input signals by virtue of strong correlations in speech/music frames. These are post-processing techniques that can work with any other optimization techniques applied during the training phase of SVM. With experiments, we validate the proposed algorithms from the perspectives of classification accuracy, execution time, and energy consumption.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.34 no.3B
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• pp.255-263
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• 2009

In this paper, we propose an adaptive beacon scheduling algorithm to control a reception period of actual data according to variation of amount of traffic in IEEE 802.15.4 LR-WPAN(Low Rate-Wireless Personal Area Network) with the cluster-tree topology. If a beacon interval is shortened, the amount of the traffic a node receives can be increased while consumption of the energy can be also increased. In this sense, we can achieve optimal on orgy consumption by controlling the beacon interval when the amount of data to be received is being decreased. The result of simulation using NS-2 shows that the proposed algorithm improves performances in terms of packet loss rate and end-to-end delay compared with algorithm using a fixed beacon interval. For a design of cluster-tree based LR-WPAN managing delay-sensitive services, the proposed algorithm and the associated results can be applied usefully.

• Clean Technology
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• v.20 no.3
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• pp.314-320
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• 2014

The purpose of this work is to optimize composition of mixture refrigerants used in the C3MR (Propane & Mixed Refrigerants) process by a statistical optimization technique. C3MR studied in this work is one of widely used commercial natural gas liquefaction processes with high efficiency. Process simulation was performed in a commercial process simulator and methane ($C_1$), ethane ($C_2$), propane ($C_3$), and nitrogen ($N_2$) were selected as mixed refrigerants. Using the process model, optimum composition of refrigerants mixture was determined via mixture design and central composite design to produce minimum energy consumption. As a result, it was confirmed that energy consumption is reduced down to 11.3% comparing to existing design. It was also compared with heat effectiveness through temperature profile of MCHE (main cryogenic heat exchanger).

• Journal of KIISE:Software and Applications
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• v.32 no.3
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• pp.227-235
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• 2005

In the embedded system domain, both memory requirement and energy consumption are great concerns. To save memory and energy, the 32 bit ARM processor supports the 16 bit Thumb instruction set. For a given program, the Thumb code is typically smaller than the ARM code. However, the limitations of the Thumb instruction set can often lead to generation of poorer quality code. To generate codes with smaller size but a little slower execution speed, Krishnaswarmy suggests a profiling guided selection algorithm at module level for generating mixed ARM and Thumb codes for application programs. The resulting codes of the algorithm give significant code size reductions with a little loss in performance. When the instruction set is selected at module level, some functions, which should be compiled in Thumb mode to reduce code size, are compiled to ARM code. It means we have additional code size reduction chance. In this paper, we propose a profile guided selection algorithm at function level for generating mixed ARM and Thumb codes for application programs so that the resulting codes give additional code size reductions without loss in performance compared to the module level algorithm. We can reduce 2.7％ code size additionally with no performance penalty

• Applied Chemistry for Engineering
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• v.30 no.1
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• pp.95-101
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• 2019

The cremation rate of Korea in 2016 was 82.7% which is four times greater than 20.5% in 1994. As increasing the cremation rate gradually, it cause a shortage of cremation facilities resulting in building more cremation facilities to meet the increasing inquiries on cremation or a large amount of fuels for the longer operation of the crematory. In this study, the crematory system optimizing its thermal efficiency characteristics and also responding to increasing inquiries on cremation was proposed in order for solving such problems, In particular, the heat flow characteristics including a heat transfer coefficient by performing a simulation using computational fluid dynamics (CFD) was investigated. The CFD model was validated with on-site experiments for a cremation facility. As a result of the simulation, the fuel consumption decreased nearly 25% and residence time increased in the main combustor. Also, the improved crematory was constructed with an expanded combustor, heat exchanger, second combustion air system, refractory and insulation material. From on-site experiments, the energy consumption was saved to approximately 54.4%, while the burning time reduced nearly 20 minutes.

• Journal of the Korean Institute of Gas
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• v.15 no.6
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• pp.38-43
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• 2011

Natural gas liquefaction process runs under cryogenic condition, and it spends large amount of energy. Minimizing energy consumption of natural gas liquefaction process is an important issue because of its physical characteristics. Among many kinds of natural gas liquefaction processes, C3-MR(Propane Pre-cooled Mixed Refrigerant) process uses two kind of refrigerants. One is the propane as the pure refrigerant(PR) and the other is the mixed refrigerant(MR). In this study, to find the optimal compressing level, propane cycle is simulated on different pressure level. The case study result shows relationship between energy consumption and pressure level. As a result, the conclusion is that at a higher pressure level, process consumes lower energy. At 5 pressure-levels, energy consumption is 23.7% lower than 3 pressure-levels.

• Proceedings of the Korean Information Science Society Conference
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• 2006.06a
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• pp.169-171
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• 2006

센서네트워크의 전력소모를 최소화, 최적화하기 위해서는 센서노드들을 실제 환경에 설치하기 이전에 시뮬레이터를 이용하여 센서네트워크의 전력상황을 정확히 추정해야 한다. 이러한 시뮬레이터를 위해서는 센서노드의 소모에너지를 정확히 분석할 수 있는 전력모델이 반드시 요구된다. 본 논문은 센서노드의 소비전력을 정확하게 측정할 수 있는 환경과 방법을 제시하며, 이 환경과 방법을 이용하여 센서노드의 소모전력을 명령어기반과 동작상태기반으로 정확히 측정 분석하고, 센서네트워크 시뮬레이터에 적용할 수 있는 전력모델 개발과정에 대해 소개한다. 전력모델링에 사용된 센서노드는 ATmega128L과 CC2420으로 구성된 Nano-24노드이다.

• Proceedings of the Membrane Society of Korea Conference
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• 1995.04a
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• pp.40-41
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• 1995

투과증발법은 증류법에 비해 에너지 소비가 더 적기 때문에 공업적인 응용 측면에서 유용한 분리공정이다. 대부분의 투과증발법에 대한 연구는 공비혼합물, 비점이 서로 비슷한 혼합물, 이성질체증을 분리, 특히 물과 에탄올과의 공비혼합물의 분리와 물로부터 희박 방향족 화합물을 회수하는데 행해져 왔다. 친수성막은 유기용매의 탈수에 사용되어져 왔고 반면에 소수성막은 유기수용액으로 부터 유기물을 분리하는데 사용되어져 왔다. 천연소재인 키토산은 친수성기들을 가지고 있기에 물과 에탄올의 분리에서 물을 선택적으로 투과시켜 효과적인 투과증발막으로 사용될 수 있다. 본 연구에서는 키토산을 복합막화하여 실제 상업화에 적합한 선택도와 투과유량을 가진 투과증발막으로 개발하고자 하였다. 도한 키토산 복합막의 물에 의한 팽윤현상을 제어하기 위해 두가지 가교방법으로 글루타르알데히드 가교를 설치하였으며, 이에 따른 투과성능의 영향을 평가하였다.

• Journal of the Korean Institute of Intelligent Systems
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• v.16 no.5
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• pp.594-600
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• 2006

The optimization has been performed to search an economical running pattern in the view point of trip time and energy consumption. Fuzzy control model has been applied to build the meta-model. To identify the structure and its parameters of a fuzzy model, fuzzy c-means clustering method and differential evolutionary scheme ate utilized, respectively. As a result, two meta-models for trip time and energy consumption are constructed. The optimization to search an economical running pattern is achieved by differential evolutionary scheme. The result shows that the proposed methodology is very efficient and conveniently applicable to the operation of railway system.

• The KIPS Transactions:PartD
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• v.13D no.7 s.110
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• pp.867-878
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• 2006

In the past few years, the research of sensor networks is forced dramatically. Specially, while the research for maintaining the power of a sensor is focused, we are also concerned nth query processing related with the optimization of multiple continuous queries for decreasing in unnecessary energy consumption of sensor networks. We present the fragmentation algorithm to solve the redundancy problem in multiple continuous queries that increases in the count or the amount of transmitting data in sensor networks. The fragmentation algorithm splits one query into more than two queries using the query index (QR-4ree) in order to reduce the redundant query region between a newly created query and the existing queries. The R*-tree should be reorganized to the QR-tree right to the structure suggested. In the result, we preserve 20 percentage of the total energy in the sensor networks.