• Journal of Technology Innovation
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• v.24 no.4
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• pp.27-53
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• 2016

This case analyzed the efficiency of 79 R&D projects performed within one private research center in machine tools industry. DEA was used for efficiency analysis. Input variables were R&D investment expense and man-month. Output variables were achievement rate on target development period and expected net sales within 5-years. Samples are divided into product development, Prior technology development, and control technology development. The key result is that Prior technology showed the lowest efficiency because of high uncertainty. It was so difficult to determine its goals and to make its specific plans. With respect to scale, the proportions of CRS(constant returns to scale) were 34.6%, 14.3% and 38.9% for product development, prior technology, control technology respectively. As for IRS(increase returns to scale), they were 53.8%, 85.7% and 38.9% for product development, prior technology, control technology respectively. As for DRS(decrease returns to scale) they were 11.5%, 0% and 22.2% for product development, prior technology, control technology respectively. On the whole, in this case, insufficient input was more problematic than excessive input, which means the lack of investment in R&D. Prior technology can be the source of the future competitiveness of companies. To operate inefficient DMU efficiently, the optimal input should be managed and it is derived from comparison with the reference group.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.14 no.3
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• pp.184-192
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• 2021

Domestic agriculture is facing real problems, such as a decrease in the population in rural areas, a shortage of labor due to an aging population, and increased risks due to the deepening of climate change. Smart farming technology is being developed to solve these problems. In the development of smart agricultural technology, irrigation control plays an important role in creating an optimal growth environment and is an important issue in terms of environmental protection. This paper is about the study of collecting and analyzing the rhizosphere environmental data of domestic paprika farms for the purpose of improving the quality of crops, reducing production costs, and increasing production. Irrigation control modeling presented in this paper Control modeling is to graphically present changes in a medium weight, feed, and drainage due to regional climatic features. To derive the graph, the parameters were determined through data collection and analysis, and the suggested irrigation control modeling method was applied to the collected rhizosphere environmental data to control irrigation in 6 regions (Gangwon-do, Chungnam, Jeonbuk, Jeonnam, Gyeongbuk, and Gyeongnam). The parameters were obtained and graphs were derived from them. After that, a study was conducted to analyze the derived parameters to verify the validity of the irrigation control modeling method and to correlate them with climatic features (average temperature and precipitation).

• Proceedings of the Materials Research Society of Korea Conference
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• 2003.11a
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• pp.143-143
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• 2003

최근 생활수준 및 생활환경의 향상에 힘입어 청결 및 쾌적을 추구하는 것이 사회적 현상으로 나타나고 있다. 요즘처럼 현대화된 시대에 '왜 항균제가 필요한 것일까' 라는 자연스러운 의문이 발생하게 되지만 현실은 항균제를 이용한 다양한 항균제품, 항균가전제품, 항균가공 내ㆍ건자재 및 항상 신선한 선도를 유지할 수 있는 제품 등이 호황을 누리고 있는 것이 현실이며 그 시장 규모는 3,000억원을 상회하고 있다. 이러한 항균 가공제품이 호평을 받는 사회적 배경은 우리를 둘러싼 주변 삶의 경제환경 신장에 따른 쾌적성 추구와 밀접한 관련이 있을 것이다. 이처럼 항균기능이 부여된 제품이 호평을 받고 있음에도 불구하고 국내에서는 항균제품의 주 기능 역할을 하는 항균제에 대한 개발은 초기단계로 국내 시장에서 많은 연구가 이루어지고 있는 실정이다. 국내의 경우, 유기 항균제의 사용이 전체 사용량의 80%를 차지하고 있고, 제올라이트나 인산염을 무기 담체로 항균성 금속 이온(Ag, Zn)을 물리적으로 결합시킨 무기 항균제가 개발된 것이 최근의 기술 수준이다. 이러한 유기 항균제는 미생물의 번식을 억제 또는 사멸시키기 위한 것이지만, 생체의 피부 세포에도 영향을 줄 수 있는 피부 자극원의 하나로 그 사용이 점차로 제한되고 있다. 무기 항균제는 안정성이나 항균력에서는 유기항균제 보다는 뛰어나지만 가격(경제성)이나 색(Color), 사용성 (Application)측면에서는 여러 가지 문제를 나타내고 있다. 귀금속이므로 가격이 고가이며, 금속고유의 색으로 회귀하려는 플라즈몬 효과에 의해 색(Color)의 조절이 불가능, 분말형태이므로 지류에 첨가시키는 방법 등이 큰 문제로 부각되고 있다. 이 러한 문제점을 해결할 수 있는 기술이 나노기술이다 나노기술(Nano-Technology)은 물질을 분자, 원자단위에서 규명하고 제어하는 기술로서 원자, 분자를 적절히 결합시킴으로서 기존 물질의 변형, 개조는 물론 신물질의 창출을 가능케 하는 기술이다. 나노기술은 여러분야로 세분화되지만 그중 산업화에 가장 접목이 용이한 기술이 나노입자(Nano-Particle)제어 기술이며, 나노입자는 통상적으로 입자크기가 수 nm에서 100nm이하 크기의 넓은 표면적을 가진 콜로이드 상의 불균일 분산입자를 말한다. 나노입자(Nano-Particle)는 기존의 입자($\mu\textrm{m}$)보다 물리적 및 광학적 성질이 우수하고 그 자체의 기능면에서도 탁월하기 때문에 국내외의 여러 산업에서도 기존제품의 품질 향상 및 기능성부여, 기존 공정의 개선 및 생산 원단위 절감 등 경제적, 생산적인 측면을 고려하여 적합한 나노입자를 채택, 적용하고자 하는데 많은 노력을 기울이고 있다. 이에 천연 항생제로 알려진 Ag, 즉 항균 및 탈취, 전기적 기능이 우수한 은(silver, Ag)을 나노(nm) 입자희 제조하고 이와 더불어 이산화티탄(TiO2) 복합 분체를 제조하여 제조된 나노 입자 및 복합 분체를 사용함으로써 환경 친화적이며 다양한 용도로 활용 가능한 소재 개발에 연구 내용을 두고 있다. 본 연구를 통한 기대 효과로서 환경성 측면에서는 환경 친화적인 나노 입자의 제조로 기능성 나노 입자에 친 환경성을 부여하여 유기계 항균제 대체 효과를 발현하고 이를 제품에 적용함으로써 다양한 기능을 가진 신소재 제조에 있다. 또한 경제적인 측면에서도 고부가 가치의 제품 개발에 따른 새로운 수요 창출과 수익률 향상, 기존의 기능성 안료를 나노(nano)화하여 나노 입자를 제조, 기존의 기능성 안료에 대한 비용 절감 효과등을 유도 할 수 있다. 역시 기술적인 측면에서도 특수소재 개발에 있어 최적의 나노 입자 제어기술 개발 및 나노입자를 기능성 소재로 사용하여 새로운 제품의 제조와 고압 기상 분사기술의 최적화에 의한 기능성 나노 입자 제조 기술을 확립하고 2차 오염 발생원인 유기계 항균제를 무기계 항균제로 대체할 수 있다. 이와 더불어 안료의 형상 균일화 기술을 확보하여 가격 경쟁력 및 부가가치 향상을 기대할 수 있다.

• Journal of Korean Society of Transportation
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• v.24 no.1 s.87
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• pp.109-120
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• 2006

Since the 1st of July, 2004, the public transport system of the Seoul metropolitan area has been rearranged. In the new system, bus lines are divided into 4 classes-wide area, arterial road, branch, and rotation lines with renewed fare system based on the total distance travelled. Since central control center known as the Bus Management System (BMS) integrates the entire system operation. it now becomes feasible to collect travel information and provide it to the users scientifically and systematically. The Purpose of this study is to forecast transit travel time using real-time traffic data coming from both buses and subway. This is significant contribution since provision of real-time transit information and easy access to it would most likely boost the use of mass transit system, alleviating roadway congestion in the metropolitan area.

• The Journal of Korean Institute of Electromagnetic Engineering and Science
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• v.20 no.11
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• pp.1217-1224
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• 2009

This paper newly proposes a methodology towards computing antenna element weights which are satisfying asymmetric sidelobe levels(SLLs) specified arbitrarily on both sides of the main beam pattern, in the linear phased array antenna pattern synthesis problem. Opposite to the conventional methods in which the element weights are directly optimized from the array factor, this method is based on the optimum perturbations of complex roots inherent to the Schelkunoff's polynomial form which is described for the array factor. From the proposed methodology, the capability of nulling the directions of multiple jammers is also possible by independently perturbing only the complex roots corresponding to each jamming direction, hence allowing an enhancement of the simplicity of the numerical procedure by means of a proper reduction of the dimension of the solution space. The complex weights over the array are then easily computed by substituting the optimally perturbed complex roots to the Schelkunoff's polynomial. Some examples are examined and numerically verified by substituting the extracted weights into the array factor equation.

• The Journal of Korean Institute of Electromagnetic Engineering and Science
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• v.19 no.5
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• pp.533-540
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• 2008

In the sum and difference pattern synthesis problem of the equi-spaced monopulse tracking linear array antennas, an efficient numerical approach to deriving the relative excitation current weights of antenna elements is presented for the desired patterns. This method is based on the optimum perturbation of null points which are inherent to the Schelkunoffs polynomial representing the pattern array factor. Accordingly, opposite to the conventional method in which the excitation weights are directly optimized, this method is advantageous in that the patterns with the desired individual sidelobe levels(SLLs) and the corresponding excitation weights are easily synthesized by the control of null points. Furthermore, it is showed that two types of difference patterns can be synthesized as imposing the different initial values of null points in the optimization process. The proposed method is numerically validated by synthesizing the patterns with the arbitrary SLLs and substituting the extracted results into the array factor equation.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.42 no.4
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• pp.758-767
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• 2017

IoT paradigm which makes a information without direct intervention of a human and interworks with other objects, humans and systems is attracting attention. It will be expected the number of smart devices equipped with sensors and wireless communication capabilities is reached to about 260 billion by 2020. With the vast amount of sending data generated from rapidly increasing number of smart devices, it will bring up the traffic growth over internet and congestion in wireless networks. In this paper, we utilize the smart device as a sink node to collect and forward the sensing data periodically in IoT and propose a heuristic algorithm for a selection of sink nodes' set with each sink node satisfies the QoS its applications because a selection of optimal sink nodes' set is NP-hard problem. The complexity of proposed heuristic algorithm is $O(m^3)$ and faster than the optimal algorithm.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.13 no.10
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• pp.2071-2078
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• 2009

The first frame is encoded in intra mode which generates a larger number of bits. In addition, the first frame is used for the inter mode encoding of the following frames. Thus the intial QP (Quantization Parameter) for the first frame affects the first frame as well as the following frames. Traditionally, the initial QP is determined among four constant values only depending on the bpp. In the case of low bit rate video coding, the initial QP value is fixed to 35 regardless of the output bandwidth. Although this initialization scheme is simple, yet it is not accurate enough. An accurate intial QP prediction scheme should not only depends on bpp but also on the complexity of the video sequence and the output bandwidth. In the proposed scheme, we use a linear model because there is a linear inverse proportional relationship between the output bandwidth and the optimal intial QP. Model parameters of the model are determined depending on the spatial complexity of the first frame. It is shown by experimental results that the new algorithm can predict the optimal initial QP more accurately and generate the PSNR performance better than that of the existing JM algorithm.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.47 no.4
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• pp.300-308
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• 2019

For drones to be used for industrial or agricultural applications, it is necessary to increase the payload and endurance. Currently, the payload and endurance are limited by the battery technology for electric powered drones. In addition, charging or replacing the batteries may not be a practical solution at the field that requires near continuous operation. In this paper, a procedure to optimize the power system of an electric hybrid drone that consists of an internal combustion engine, a generator, a battery, and electric motors is presented. The example drone for crop dusting is sized for easy transportation with a maximum takeoff weight of 200 kg. The two main rotors that are mechanically connected to the internal combustion engine provides most of the lift. The drone is controled by four electric motors that are driven by the generator. By analyzing the flow of the energy, a methodology to select the optimum propeller and motor among the commercially available models is described. Then, a procedure of finding the optimum operational condition along with the proper gear reduction ratios for the internal combustion engine based on the test data is presented.

• The Journal of the Korea institute of electronic communication sciences
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• v.14 no.5
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• pp.969-976
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• 2019

A lightweight artificial intelligence hardware has made great strides in many application areas. In general, a lightweight artificial intelligence system consist of lightweight artificial intelligence engine and preprocessor including feature selection, generation, extraction, and normalization. In order to achieve optimal performance in broad range of applications, lightweight artificial intelligence system needs to choose a good preprocessing function and set their respective hyper-parameters. This paper proposes a unified framework for a lightweight artificial intelligence system and utilization method for finding models with optimal performance to use on a given dataset. The proposed unified framework can easily generate a model combined with preprocessing functions and lightweight artificial intelligence engine. In performance evaluation using handwritten image dataset and fall detection dataset measured with inertial sensor, the proposed unified framework showed building optimal artificial intelligence models with over 90% test accuracy.