• Proceedings of the KIEE Conference
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• 2004.05a
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• pp.98-101
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• 2004

Linear Programming(LP) is the term used for defining a wide range of optimization problems in which the objective function to be minimized or maximized is linear in the unknown variables and the constraints are a combination of linear equalities and inequalities. LP problems occur in many real-life economic situations where profits are to be maximized or costs minimized with constraint limits on resources. While the simplex method introduced in a later reference can be used for hand solution of LP problems, computer use becomes necessary even for a small number of variables. Problems involving diet decisions, transportation, production and manufacturing, product mix, engineering limit analysis in design, airline scheduling, and so on are solved using computers. This technique is called Sequential Linear Programming (SLP). This paper describes LP's problems and solves a LP's problems using the neural networks.

• Transactions of Materials Processing
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• v.19 no.2
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• pp.132-137
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• 2010

In the multi-pass shape drawing process, the appropriate process design is very important to produce sound products. The reduction ratio, die angle, and the intermediate die shape are very important process variable of the multi-pass shape drawing. The aim of this study is the determination of the reduction ratio, die angle, and the intermediate die shape of the 2 pass shape drawing process for producing steering spline shaft. In this study, FE analysis, Taguchi method, and ANN(artificial neural network) were applied to determine the appropriate reduction ratio, die angle, and intermediate die shape. After the determination of the process variables, FE analysis and drawing experiment were performed to evaluate the effectiveness of the determined process variables. The dimensional accuracy of the final drawn spline shaft was evaluated by using 3D surface profiler and 3D laser digitizing system.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.9 no.10
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• pp.3771-3788
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• 2015

This paper studies the distributed energy efficient resource management in the Internet of Things (IoT). Wireless communication networks support the IoT without limitation of distance and location, which significantly impels its development. We study the communication channel and energy management in the wireless communication network supported IoT to improve the ability of connection, communication, share and collaboration, by using the game theory and distributed learning algorithm. First, we formulate an energy efficient neighbor collaborative game model and prove that the proposed game is an exact potential game. Second, we design a distributed energy efficient channel selection learning algorithm to obtain the global optimum in a distributed manner. We prove that the proposed algorithm will asymptotically converge to the global optimum with geometric speed. Finally, we make the simulations to verify the theoretic analysis and the performance of proposed algorithm.

• Annual Conference of KIPS
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• 2019.05a
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• pp.479-481
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• 2019

본 연구에서는 이미지를 분류하는 인공 신경망 가속기를 최적화했고, 이를 구현하여 기존 인공 신경망 가속기와 성능을 비교 분석했다. FPGA(Field Programmable Fate Array) 보드를 이용하여 가속기를 구현했으며, 해당 보드의 내부 메모리인 BRAM 을 FIFO(First In First Out)구조로 설계하여 메모리 시스템을 구현했다. Approximate computing 기법을 효율적으로 적용하기 위해 FWL(Fractional Word Length)최적점을 분석했고, 이를 기반으로 인공 신경망 가속기의 부동 소수점 연산을 고정 소수점 연산으로 변환했다. 구현된 인공 신경망 가속기는 기존의 인공 신경망에 비해, 약 7.4%더 효율적인 전력소모량을 보였다.

• 제어로봇시스템학회:학술대회논문집
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• 2001.10a
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• pp.46.6-46
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• 2001

A servo gun welding system having a AC servo motor and a PC control system is presented for the improvement of quality control in the spot welding. The spot welding process is composed of the press stage, the weld stage, and the hold stage. The changes of gun press forces according to three stages in the spot welding process are controlled and measured through the load cell in order to know the influence on the welding quality. The relation between the measured force changes according to three stages and welding qualities is also implemented on the multilayer perceptrons, one of supervised learning method of neural network, which are powerful for realization of complex mapping characteristics. The estimated results and ...

• 제어로봇시스템학회:학술대회논문집
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• 2001.10a
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• pp.41.4-41
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• 2001

In this paper, we propose a LQR(Linear Quadratic Regulator) controller design for the active suspension using two-degree-of-freedom quarter-car model. We can improve the inherent suspension problem, the tradeoff between ride quality and suspension travel by selecting appropriate weights in the LQR-objective function. Because any definite rules for selecting weights do not exist, we replace the designer´s trial and error with the optimization-algorithm, ES(Evolution Strategy). Using the ES, we can find the proper control gains for selected frequencies, which have major effects on the vibrations of the vehicle´s state variables.

• Computers and Concrete
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• v.10 no.1
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• pp.49-57
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• 2012

Nano-particle-reinforced cement mortars have been the basis of research in recent years and a significant growth is expected in the future. Therefore, optimization and quantification of the effect of processing parameters and mixture ingredients on the performance of cement mortars are quite important. In this work, the effects of nano-silica, water/binder ratio, sand/binder ratio and aging (curing) time on the compressive strength of cement mortars were modeled by means of artificial neural network (ANN). The developed model can be conveniently used as a rough estimate at the stage of mix design in order to produce high quality and economical cement mortars.

• Annual Conference of KIPS
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• 2012.11a
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• pp.802-805
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• 2012

오늘날 클라우드 서버 시스템 환경은 급속도로 증가하는 데이터를 효율적으로 처리 및 저장하기 위해 네트워크로 연결된 다수의 서버 머신들로 clustering 이나 분산 시스템 환경, 또는 SAN(Storage Area Network) 환경 등을 구성하여 보다 효율적인 서버시스템을 구현하고 있다. 이러한 서버시스템 환경에서의 병목현상은 주로 디스크기반의 스토리지에서 발생하며, 이를 극복하기 위해 고성능 스토리지에 대한 요구가 증가하고 있다. 그러나, 단순히 디바이스를 교체하는 것 만으로는 고성능 장비의 뛰어난 성능을 제대로 활용할 수 없으며 그에 맞는 최적화 작업이 요구된다. 본 논문에서는 기존의 SAN Solution 의 문제를 분석하고, 고성능 스토리지의 성능을 잘 활용할 수 있는 설정 및 최적화 방법을 제안한다.

• IEMEK Journal of Embedded Systems and Applications
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• v.6 no.4
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• pp.243-248
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• 2011

A FFT/IFFT processor is the key component for orthogonal frequency division multiplexing (OFDM) systems based IEEE 802.11n wireless local area network (WLAN). There exists many radix algorithms according to the structure of butterfly as FFT sub-module, each has the pros and cons on hardware complexity. Here, mixed radix algorithms for 64 and 128 FFT/IFFT processors are proposed, which reduce hardware complexity by using mixture of radix-23 and radix-4 algorithms. The proposed algorithm finish calculation within 3.2${\mu}s$ in order to meet IEEE 802.11n standard requirements and it has less hardware complexity compared with conventional algorithms.

• International Journal of Advanced Culture Technology
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• v.9 no.3
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• pp.23-33
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• 2021

"China's Western Development Policy" has brought multiple opportunities to the development of tourism in Southwest China including Sichuan, Guizhou, Yunnan, Chongqing and Tibet. The 4 provinces and 1 municipality overall show a certain degree of accumulation effect and coordinated development in tourism due to their location, traffic and traditional economic cooperation. This study takes the Southwest China as the research object and utilized the spatial dislocation model and the tourism spatial misalignment index to estimate the mismatch degree between tourism resources and tourism income among provinces and try to find out the internal reason background. The results show that each of the five provinces has its own advantages in index of economy, tourism resources, human resource, and transportation, leading to differences in the center of gravity of the entire region in all aspects. In view of the results of spatial dislocation analysis, suggestions for improvement and optimization are put forward to promote the high-quality development of tourism in Southwest region. development.