• Journal of the Institute of Electronics Engineers of Korea SD
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• v.41 no.12
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• pp.7-12
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• 2004

In this paper, CPW wideband distributed amplifier was designed and fabricated using 0.1 $\mum$ InGaAs/InAlAs/GaAs Metamorphic HEMT(High Electron Mobility Transistor). The DC characteristics of MHEMT are 442 mA/mm of drain current density, 409 mS/mm of maximum transconductance. The current gain cut-off frequency(fT) is 140 GHz and the maximum oscillation frequency(fmax) is 447 GHz. The distributed amplifier was designed using 0.1 $\mum$ MHEMT and CPW technology. We designed the structure of CPW curve, tee and cross to analyze the discontinuity characteristics of the CPW line. The MIMIC circuit patterns were optimized electromagnetic field through momentum. The designed distributed amplifier was fabricated using our MIMIC standard process. The measured results show S21 gain of above 6 dB from DC to 45 GHz. Input reflection coefficient S11 of -10 dB, and output reflection coefficient S22 of -7 dB at 45 GHz, respectively. The chip size of the fabricated CPW distributed amplifier is 2.0 mm$\times$l.2 mm.

• Journal of the Institute of Electronics Engineers of Korea SD
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• v.42 no.8 s.338
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• pp.43-52
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• 2005

An prescaler which uses PLL(Phase Locked Loop) must satisfy high speed operation and low power consumption. Thus the performance or TSPC(True Single Phase Clocked) D-flip flops which is applied at Prescaler is very important. Power consumption of conventional TSPC D-flip flops was increased with glitches from output and unnecessary discharge at internal node in precharge phase. We proposed a new D-flip flop which reduced two clock transistors for precharge and discharge Phase. With inserting a new PMOS transistor to the input stage, we could prevent from unnecessary discharge in precharge phase. Moreover, to remove the glitch problems at output, we inserted an PMOS transistor in output stage. The proposed flip flop showed stable operations as well as low power consumption. The maximum frequency of prescaler by applying the proposed D-flip flop was 2.92GHz and achieved power consumption of 10.61mw at 3.3V. In comparison with prescaler applying the conventional TSPC D-flip $flop^[6]$, we obtained the performance improvement of $45.4\%$ in the view of PDP(Power-Belay-Product).

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.39 no.3
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• pp.18-31
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• 2002

In this study, we introduce a concept of advanced neurofuzzy polynomial networks(ANFPN), a hybrid modeling architecture combining neurofuzzy networks(NFN) and polynomial neural networks(PNN). These networks are highly nonlinear rule-based models. The development of the ANFPN dwells on the technologies of Computational Intelligence(Cl), namely fuzzy sets, neural networks and genetic algorithms. NFN contributes to the formation of the premise part of the rule-based structure of the ANFPN. The consequence part of the ANFPN is designed using PNN. At the premise part of the ANFPN, NFN uses both the simplified fuzzy inference and error back-propagation learning rule. The parameters of the membership functions, learning rates and momentum coefficients are adjusted with the use of genetic optimization. As the consequence structure of ANFPN, PNN is a flexible network architecture whose structure(topology) is developed through learning. In particular, the number of layers and nodes of the PNN are not fixed in advance but is generated in a dynamic way. In this study, we introduce two kinds of ANFPN architectures, namely the basic and the modified one. Here the basic and the modified architecture depend on the number of input variables and the order of polynomial in each layer of PNN structure. Owing to the specific features of two combined architectures, it is possible to consider the nonlinear characteristics of process system and to obtain the better output performance with superb predictive ability. The availability and feasibility of the ANFPN are discussed and illustrated with the aid of two representative numerical examples. The results show that the proposed ANFPN can produce the model with higher accuracy and predictive ability than any other method presented previously.

• Journal of the Institute of Electronics Engineers of Korea SC
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• v.39 no.4
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• pp.16-24
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• 2002

This work describes a 10b 120 MSample/s CMOS pipelined A/D converter(ADC) based on a merged-capacitor switching(MCS) technique for high signal processing speed and high resolution. The proposed ADC adopts a typical multi-step pipelined architecture to optimize sampling rate, resolution, and chip area, and employs a MCS technique which improves sampling rate and resolution reducing the number of unit capacitor used in the multiplying digital-to-analog converter (MDAC). The proposed ADC is designed and implemented in a 0.25 um double-poly five-metal n-well CMOS technology. The measured differential and integral nonlinearities are within ${\pm}$0.40 LSB and ${\pm}$0.48 LSB, respectively. The prototype silicon exhibits the signal-to-noise-and-distortion ratio(SNDR) of 58 dB and 53 dB at 100 MSample/s and 120 MSample/s, respectively. The ADC maintains SNDR over 54 dB and the spurious-free dynamic range(SFDR) over 68 dB for input frequencies up to the Nyquist frequency at 100 MSample/s. The active chip area is 3.6 $mm^2$(＝ 1.8 mm ${\times}$ 2.0 mm) and the chip consumes 208 mW at 120 MSample/s.

• The Journal of the Korea institute of electronic communication sciences
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• v.11 no.2
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• pp.171-178
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• 2016

An aircraft in flight and ATC(: Air Traffic Controllers) working in the Ground Control Center carry out a voice communication using the radio. Voice signal to be transmitted from the aircraft is received to a plurality of terrestrial sites around the country at the same time. The ATC receives the various quality of voice signal from the aircraft depending on the distance, speed, weather conditions and adjusted condition of the antenna and the radio. The ATC carries out a voice communication with aircraft in the optimal conditions finding the best voice signal. However, the present system chooses the values of the CD(: Carrier Dectect) which is determined to be superior to, based on the input voice level, as optimal channel. Thus this system can not be seen to select the optimal channel because it doesn't consider the effect of the noise which influences on the communication quality. In this paper, after removing the noise in the voice signal, we could give the digitized information and an improved voice signal quality, so that users can select an optimal channel. By using it, when operating the training eavesdropping system or the aircraft control, we can expect prevention accident and improvement of training performance by selecting the improved quality channel.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.45 no.9
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• pp.794-806
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• 2017

It is essential to protect the national space assets and space environment safely as a space development country from the continuously increasing space debris. And Active Debris Removal(ADR) is the most active way to solve this problem. In this paper, we studied the Artificial Neural Network(ANN) for a stable recognition model of vision-based space debris tracking system. We obtained the simulated image of the space environment by the KARICAT which is the ground-based space debris clearing satellite testbed developed by the Korea Aerospace Research Institute, and created the vector which encodes structure and color-based features of each object after image segmentation by depth discontinuity. The Feature Vector consists of 3D surface area, principle vector of point cloud, 2D shape and color information. We designed artificial neural network model based on the separated Feature Vector. In order to improve the performance of the artificial neural network, the model is divided according to the categories of the input feature vectors, and the ensemble technique is applied to each model. As a result, we confirmed the performance improvement of recognition model by ensemble technique.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.4 no.1
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• pp.29-65
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• 2009

This study is The Effect of the on the purchase behavior of the Software Quality. To have purchased the software in a Consumer surveys were conducted. The following is a summary of results of this research. First, the software quality and significant consumer purchasing behavior (+) of influence. Functionality, usability, portability of software quality attributes the impulse buying and buy more of both the (+) showed the influence. Second, software quality is urge consumers to purchase significant (+) of influence. Functionality, reliability, usability, portability of software quality (+) showed the influence. Third, the software quality In the consumer buy more significant Chung (+) showed the influence. Software quality, functionality, usability, portability name (+) influence. In conclusion, the quality of the software in consumer purchasing behavior (+) were of significant influence. In particular, factors that functionality, usability factors, portability factor in the relatively large influence on the purchasing behavior. Software technology development, planning, development, testing, and in each step must keep in mind the following. First, the software, when used in certain conditions, Inherent ability to meet the needs and requirements set forth to provide the appropriate functionality and accuracy as the ability of software products each other with the capabilities to the effective and thorough security features should be required. Second, software, a user-specified criteria to use in understanding and learning, and must, and the ability to prefer. Software for users to understand and easy to use, whether the check. In particular, understanding the interface, Help understanding, understand the input and output data, and interface consistency, the user information, the message must be equipped and easy to understand. In addition, ease of learning to be self-learning, and help ease of access shall be required. Third, in certain circumstances, a different environment to transfer be equipped with the functionality of the software. Applying data structures and application environment, helping transplant convenience must keep in mind sex.

• Journal of Bio-Environment Control
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• v.3 no.1
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• pp.42-51
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• 1994

Visual features of a mushromm(Lentinus Edodes L.) are critical in sorting and grading as most agricultural products are. Because of its complex and various visual features, grading and sorting of mushrooms have been done manually by the human expert. Though actions involved in human grading look simple, it decision making underneath the simple action comes from the result of the complex neural processing of visual image. Recently, an artificial neural network has drawn a great attention because of its functional capability as a partial substitute of the human brain. Since most agricultural products are not uniquely defined in its physical properties and do not have a well defined job structure, the neuro -net based computer visual information processing is the promising approach toward the automation in the agricultural field. In this paper, first, the neuro - net based classification of simple geometric primitives were done and the generalization property of the network was tested for degraded primitives. And then the neuro-net based grading system was developed for a mushroom. A computer vision system was utilized for extracting and quantifying the qualitative visual features of sampled mushrooms. The extracted visual features of sampled mushrooms and their corresponding grades were used as input/output pairs for training the neural network. The grading performance of the trained network for the mushrooms graded previously by the expert were also presented.

• Korean Journal of Ecology and Environment
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• v.37 no.4 s.109
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• pp.431-435
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• 2004

A nitrate-contaminated groundwater was hydrogeochemically investigated to estimate the factors controlling groundwater quality in an alluvial fan area. Even though monthly groundwater levels increased with monthly rainfalls, the monthly $NO_3^--N$ concentrations in groundwater showed a small variation, mostly exceeding a maximum contaminant level of 10 mg $L^{-1}$ in environmental quality standards for groundwater during 2003. The 2003 annual groundwater recharge was 1,730 mm =20,056 mm-18,326 mm. Where 20,056 mm and 18,326 mm are annual sum of daily increase and decrease in ground water level. However, the annual sum of increase in ground water level (20,056 mm) was approximately 10 times higher than annual rainfall. Moreover, the annual sum of daily ground water level decrease (-18,326mm) showed that a large amount of groundwater was discharged with $NO_3^-$-contamination. Hydrogeochemically, a large amount of groundwater input and output through the alluvial fan area were observed after rainfall with a considerably high concentration of $NO_3^-$. Consequently, this alluvial fan area including forest area reflects on the evidence under the condition of 'nitrogen excess' or 'nitrogen saturation'. In addition, such a large amount of groundwater outflow can cause environmental damage in surface water, associated with $NO_3^-$- contamination. This study also expects that this hydrogeochemical data will be useful for water management.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.39 no.1
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• pp.97-107
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• 2002

In this paper, we propose the realization of on-line handwritten Chinese character recognition for mobile personal digital assistants (PDA). We focus on the development of an algorithm having a high recognition performance under the restriction that PDA requires small memory storage and less computational complexity in comparison with PC. Therefore, we use index matching method having computational advantage for fast recognition and we suggest a unit reconstruction method to minimize the memory size to store the character models and to accomodate the various changes in stroke order and stroke number of each person in handwriting Chinese characters. We set up standard model consisting of 1800 characters using a set of pre-defined units. Input data are measured by similarity among candidate characters selected on the basis of stroke numbers and region features after preprocessing and feature extracting. We consider 1800 Chinese characters adopted in the middle and high school in Korea. We take character sets of five person, written in printed style, irrespective of stroke ordering and stroke numbers. As experimental results, we obtained an average recognition time of 0.16 second per character and the successful recognition rate of 94.3% with MIPS R4000 CPU in PDA.