• Journal of the Korean GEO-environmental Society
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• v.14 no.1
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• pp.5-13
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• 2013

Soils around a pile are highly constrained when the vertical load is applied to the pile. However, the conventional direct shear test cannot evaluate the shear strength of the soils under the normal confinement condition. The goal of this study is to evaluate the shear behaviors according to the normal displacement confinement condition including free normal displacement (FND) and constrained normal displacement (CND) during direct shearing. Jumunjin sands were prepared at the different relative densities and loaded at the different normal stresses. The specimens were sheared according to the normal confinement conditions. Experimental results show that shear strengths obtained by the CND tests are higher than those obtained by the FND tests. In addition, for the constrained normal displacement condition, the increment of shear strength increases with the increase of relative density, while the increment of shear strength decreases with the initial normal stress. This study suggests that the effect of confinement condition on the shear strength should be considered when the stability of constrained soils is analyzed.

• The Transactions of the Korea Information Processing Society
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• v.5 no.4
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• pp.1025-1032
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• 1998

In this paper, the PLD design tool which realizes a digital circuit as PLD, by using EDIF netlist of the digital circuit designed at OrCAD have been developed. This paper is proposed the following algorithms: JIE(Joined Information Extractor) which extracts the connecting information between both cells in order to realize the digital circuit as PLD using the EDIF netlist, FND(Feedback Node Detector) which look into whether feedback exists or not, BEG(Boolean Equation Generator) which generates a boolean equation, and so on. Also, this paper is developed auto-select function which selects the PLD element with consideration of number of I/O variables of the minimized boolean equation, and algorithm generation JEDEC file of GAL6001 and GAL6002, having a forms of EPLD which is bigger than PLD.

• Journal of the Society of Disaster Information
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• v.14 no.1
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• pp.28-35
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• 2018

The following research has focused and implemented on designing a system that classifies the severity of mass casualty situations across both normal and disaster levels. The system's algorithm has implemented requirements such as accuracy as well as user convenience. The developed e-Triage System has applied various severity classification algorithms implemented from IoT concepts. In order to overcome flaws of currently used severity classification systems, the e-Triage System used electronic elements including the NFC module. By using the mobile application's severity classification algorithm the system demonstrated quick and accurate assessment of patient. Four different LED lamps visualized the severity classification results and RTS scores were portrayed through FND(Flexible Numeric Display) after a two wave classification.

• Proceedings of the IEEK Conference
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• 2003.07b
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• pp.911-914
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• 2003

A logic design training kit with print port emulation function was developed. The input device of the kit was 4$\times$4 key input and 6 FND(DYNAMIC) and LCD were used as out put devices and the output device were also can controlled by PC connectde by print port to the kit. The emulator was coded by Visual Programming C++(MFC)

• Proceedings of the IEEK Conference
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• 2003.07b
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• pp.907-910
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• 2003

We have developed Logic Design Training Kit for studying, actual training, designing of FPGA(Xillinx) or CPLD(ALTERA CPLD), the Digital Logic Device. This training kit has 12 matrix keys, RS232 port for serial communication and uses LED array. six FND(Dynamic), LCD as display part. That is standard specification for digital logic training kit. Special point of this kit is that we make two logic device trainig kit. This two logic device kit have more smaller and simple architecture because only uses one chip. That chip already includes a lot of functions that need for training kit, such as : complex logic circuit needed the two kind of logic devices, 16 way of system clock deviding function, serial communication interrupt....etc. We called that one chip is Center Bridge Chipset ; Xillinx FPGA Spartan2. User can select between using one device of FPGA or CPLD, or uses both them. Because of, Center Bridge Chipset has profitable architecture. it can work as Logic Device's networking with Master-Slave connection When using both logic devices.

• Journal of the Korean Society for Nondestructive Testing
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• v.31 no.5
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• pp.459-465
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• 2011

It has been reported that the femoral morphology has a major correlation to femoral neck fractures(FNF). Previous studies to analyze these correlations have relied on mechanical testing and finite element methods. However, these methods have not been widely applied to various femur samples and models. It is because of the availability of the samples from both patients and cadavers, and also of the geometric limitations in changing the shape of the models. In this study we analyzed femoral neck fractures using a parameterized femoral model that could provide flexibility in changing the geometry of the model for the wide applications of FNF analysis. With the parameterization a variety of models could be generated by changing four major dimensions: femoral head diameter(FHD), femoral neck diameter(FND), femoral neck length(FNL), and neck-shaft angle(NSA). We have performed FEA on the models to compute the stress distributions and reaction forces, and compare them with the data previously generated from mechanical testing. The analysis results indicate that the FND is significantly related with the FNF and the FHD is not significantly related with the FNF.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2005.11a
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• pp.423-426
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• 2005

In this paper, we proposed a PID tuning algorithm by the fuzzy set theory to improve the performance of the PID controller. The new tuning algorithm for the PID controller has the initial value of parameter Kp, $\tau_{I}$, $\tau_{D}$. by the Ziegler-Nichols formula that uses the ultimate gain and ultimate period from a relay tuning experiment. We will get the error and the error rate of plant output corresponding to the initial value of parameter and fnd the new proportion gain(Kp) and the integral time ($\tau_{I}$) from fuzzy tuner by the error and error rate of plant oueut as a membership function of fuzzy theory. This fuzzy auto tuning algorithm for PID controller considerably reduced the overshoot and rise time as compared to any other PID controller tuning algorithms. And in real parametric uncertainty systems, it constitutes an appreciable improvement of performance. The significant property of this algorithm is shown by simulation

• Proceedings of the KIEE Conference
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• 2006.07d
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• pp.2099-2100
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• 2006

제한된 전력의 노드들로 구성된 무선 센서 네트워크에서 효율적인 정보 수집이 이루어지기 위해서는 전체 네트워크의 Life Time을 늘리는 게 중요하다. 각각의 센서 노드들이 멀리 떨어져 있는 BS(Base Station)으로 직접 데이터를 전송하면 전력소비가 매우 크고 비효율 적이다. 그리하여 네트워크의 life time을 늘리기 위한 많은 연구가 이루어지고 있다. 그중에 클러스터링 기법은 가장 널리 연구되는 기법 중에 하나이다. 대표적인 클러스터링 기법 LEACH(Low-Energy Adaptive Clustering Hierarchy)[1]는 전체 노드 수의 5%클 클러스터 헤드로 결정하여 나머지 노드들로부터 데이터를 수집하여 BS로 전송함으로써 에너지를 효율적으로 사용하는 알고리즘이다. 그러나 클러스터 헤드를 결정하는데 있어서 잔여 에너지를 고려하지 않고 순환적으로 결정하는 문제점을 가지고 있다. 그래서 본 논문에서는 SVM(Supprt Vector Machine)을 이용하여 FND(First Node Dic)가 발생했을 때 각 노드들의 에너지 잔량 정도를 따져서 영역을 나눈 후, 에너지가 더 많은 영역에서 클러스터 헤드를 선정하는 방법을 제안한다. 잔량 에너지가 많은 노드를 클러스터 헤드로 결정함으로써 전체 네트워크의 life time을 늘릴 수 있다.

• STI Policy Review
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• v.6 no.1
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• pp.24-35
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• 2015

This research constructs a data set regarding competition policy through a comprehensive review of previous studies, and performs a meta-analysis to quantitatively assess the price effects of deregulation. A structural econometric model is used to eliminate possible biases from heterogeneity of the studies,such as in publication types and measurement methods. Four types of regulations that deter competition are characterized and three groups of industries are made for drawing practical implications. We fnd that deregulation to promote competition reduces prices by 0.23% and that these estimated price effects are more stable when we control for the publication types and measurement ways. Easing regulations that restrict consumers' choice is shown to be most effcient in promoting competition, lowering prices by 0.7%. This is followed by eliminating the limitation in the number of frms in the industry, with 0.2% price reduction. Overall, the network and service industries are shown to be more responsive to deregulation than the R&D industry. These results could shed light on policy implementation when a pro-competition policy is called for due to restrictive regulations in the corresponding industries.

• International Journal of Internet, Broadcasting and Communication
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• v.14 no.1
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• pp.194-200
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• 2022

As of 2020, the cumulative number of electric vehicles worldwide increased 43% from 2019, exceeding 10 million. We surveyed and analyzed important factors when purchasing electric vehicles for consumers who own electric vehicles. Through this, we tried to find an effective way to supply electric vehicles in the future. The purpose of this study is to present customized marketing proposals for companies by empirically analyzing the factors affecting consumers' electric vehicle purchases and deriving market demands for electric vehicles. We identified the market status of electric vehicles through literature research and reviewed previous studies on the factors affecting the purchase intention of electric vehicles. Through empirical studies, differences in electric vehicle purchase factors according to gender, age, and the degree of importance of performance were analyzed. To this end, the SPSS statistics package was used. Factors influencing the purchase of electric vehicles were set to mileage, charging time, new technology, degree of driving autonomous development, design, price, infrastructure for charging, the phase of maintenance and repair, by the government and local governments. In addition, the most important factors were derived, and the average difference analysis was conducted according to gender, age, and performance importance.