• New & Renewable Energy
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• v.18 no.2
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• pp.26-39
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• 2022

Considering the recent substantial increase in national research and development (R&D) budgets in the energy sector there has been increased Interest in the effectiveness of government R&D investments. We conducted a case study to calculate the allowable scale and effectiveness of R&D investment by calculating the direct performance improvement effect resulting from R&D investment as an economic value. Using conditions that existed prior to R&D investments as a reference, five cases in which performance improved due to R&D investments were compared and analyzed. The government's financial investment is increasing rapidly in line with the establishment of the national hydrogen roadmap. R&D is needed to enhance the current low technology readiness level of hydrogen fuel cells compared to solar and wind energy fields. Therefore, an R&D project to improve the performance of the fuel cell system was selected as this case study's subject. Using the results in this study, the allowable level of investment in the task unit of national R&D projects could be calculated. Moreover, it is advisable to provide a standard for rational decision making for new R&D investments since it is possible to determine investment priorities among a large number of candidates.

• 정보화사회
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• s.170
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• pp.58-63
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• 2004

본 보고서는 EU에서 발간된 "Raising EU R&D Intensity: Improving the Effectiveness of the Mix of Public Support Mechanisms for Private Sector Research and Development"(2003)를 근간으로 하고, 관련된 국.내외 문헌을 종합하여 한국산업기술평가원 전략기획실에서 작성하여 지난 7월 26일 발표된 자료 중 일부분을 정리한 자료입니다.

• Journal of Power System Engineering
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• v.21 no.4
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• pp.26-33
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• 2017

In this paper, we developed a control algorithm to maximize the cleaning performance and the cleaning efficiency of the underwater cleaning robot platform which has been developed for various cistern environment in the industrial field. Through these research and development, we have presented the operation and application of underwater cleaning robots that have been developed, and contributed to commercialization. Finally, this results were verified the effectiveness through actual field experiments.

• Journal of Advanced Navigation Technology
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• v.26 no.5
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• pp.304-311
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• 2022

Although the SEAD(suppression to enemy air defenses) mission is a strategically important task in modern warfare, the high risk of direct exposure to enemy air defense assets forces to use of unmanned aerial vehicles. this paper proposes a path planning algorithm for SEAD mission for an unmanned aerial vehicle and a method for calculating the mission effectiveness on the planned path. Based on the RRT-based path planning algorithm, a low-altitude ingress/egress flight path that can consider the enemy's short-range air defense threat was generated. The Dubins path-based Intercept path planning technique was used to generate a path that is the shortest path while avoiding the enemy's short-range anti-aircraft threat as much as possible. The ingress/intercept/egress paths were connected in order. In addition, mission effectiveness consisting of fuel consumption, the survival probability, the time required to perform the mission, and the target destruction probability was calculated based on the generated path. The proposed techniques were verified through a scenario.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.9
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• pp.1312-1319
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• 2022

This paper defines an effectiveness index for optical continuous observation of unknown space objects and presents a range of design variables combinations that can satisfy the effectiveness index from a telescope/mount control system perspective using integrated simulation. The overall system-level simulation was implemented and the tracking performance was analyzed by considering design variables such as target position prediction and frame rate, image processing time and measurement error, target trajectory characteristics, and maneuver performance of mount gimbal. As a result of the analysis, it was confirmed that the continuous tracking performance of the optical observation system is dependent on the combination of frame rate and mount maneuver performance. In a situation where an optical observation system is designed or a similar system is implemented using COTS, an appropriate combination of parameters between design variables can be found through effectiveness analysis simulation as in this study.

• Journal of Animal Environmental Science
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• v.17 no.3
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• pp.197-204
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• 2011

During the process of anaerobic digestion, hydrolysis of substrate is the key factor determining methane production efficiency. The hydrolysis efficiency are directly affected by biodegradability of substrate. In this study, three types of pre-treatment methods were tested to enhance biodegradability effectiveness. By the application of blender and the Cavitation treatment, the SCODcr increased from 24,723 mg/l to 24.726~29,175 mg/l and to 25,589~26,456 mg/l, respectively. In case of ozone treatment, the SCODcr decreased from 24,723 mg/l to 22.540~23,988 mg/l. In batch experiment, there was a little improvement of the biochemical methane potential (BMP) by the blender and the cavitation treatment. In contrast, the BMP somewhat decreased by ozone treatment. This result shows that higher anaerobic digestion efficiency of livestock manure could be obtained through pre-treatment of substrate.

• Proceedings of the SCSK Conference
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• 2003.09b
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• pp.26-31
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• 2003

Korean Ginseng is a medicinal herb which grows naturally in korea. an ancient country situated in north-eastern Asia. Its medical use was already well known to herb doctors in this region about five thousand years ago since the effectiveness of korean ginseng has been recognized through practical use for a long time. Korean Ginseng has always been regarded as a devine cure. The name "Ginseng" can be found in various medicinal books. many of which were written as early as B.C. 100. In the records of many chinese medical books. dating from the inception of publishing, it was noted that Korean Ginseng was of the highest level of quality. Korean Ginseng originally grew in the mountains of korea. However, this wild Korean Ginseng(js called SANSAM) could not meet the ever-increasing demands. and from the 16th century. it has been cultivated on farms for mass processing and supplying in korea(js called INSAM). It was already recognized in korea a long time ago(B.C. 57 - A.D. 668) that Korean Ginseng possessed the qualities of panacea, tonic and rejuvenator, and had other medicinal properties as well. The effectiveness of Korean Ginseng is widely recognized among south-eastern Asians as well as Chinese. As its effect has been proved scientifically. Korean Ginseng is now becoming the ginseng for all human beings in the world. Korean ginseng is differently called according to processing method. Dried thing is Insam(white ginseng), boiled or steamed is Hongsam(red ginseng). 장뇌삼(long headed ginseng) is artificially grown in the mountain no in field for a long time. So the body is thin and some long. but ingredients are concentrated. Korean wild ginseng(SANSAM) is rare in these days but we developed cosmetic ingredient. The scientific name of Korean Ginseng is Panax Ginseng. It has acknowledge as a natural mysterious cure among the notheastern peoples. because of its broad medicinal application. The origin of the word" Panax" derived from panacea. a Greek word meaning cure-all. According to the classification method of herb medicines in the Chinese medicinal book. "God-Farmer Materia Medica(A.D. 483-496) korean Ginseng was described as the superlative drug: panacea. tonic and rejuvenator. We studied skin immunological effect. collagen synthesis. cell growth and whitening effect of SANSAM extract. IN cosmetics.. SANSAM extract had skin fibroblast cell growth effect. recover damaged skin in the sun and protect fine wrinkle. Also. In hair product.. inhibits hairless, white hair.its hairless, white hair.

• Korean Journal of Veterinary Service
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• v.47 no.1
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• pp.19-26
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• 2024

Canine atopic dermatitis (CAD) is an inflammatory and pruritic skin disease with a genetic predisposition, characterized by allergic sensitivity. It is known for its distinctive clinical features, including a high recurrence rate and chronic progression. To manage CAD, medications such as steroids and immunosuppressants are commonly used, but consideration should be given to the potential resistance and side effects associated with long-term use. In order to reduce these risks, various adjunctive factors are currently under consideration. One of these adjunctive agents, probiotics have shown effectiveness in regulating atopic dermatitis by modulating immune responses, as demonstrated in several recent studies. In this study, a substance combining three probiotics-L. plantarum, L. reuteri, and Ped. Acidilactici-was used in patients diagnosed with CAD, and its clinical effects and safety were evaluated. The trial involved four groups: a group receiving conventional treatment for atopic dermatitis (A), a group prescribed low-dose probiotics (B), a group prescribed high-dose probiotics (C), and a group prescribed topical probiotics (D). For assessment, the Canine Atopic Dermatitis Extent and Severity Index (CADESI), Trans-Epidermal Water Loss (TEWL) test, gut microbiome, and serum IgE test were conducted. As a result, the CAD severity index (CADESI-4) significantly decreased in the probiotics groups (B & C). In the serum total IgE test, the groups consuming probiotics showed a significant difference, while the group using topical probiotics (D) did not exhibit a significant change. Also, the TEWL test showed improved scores in the probiotics groups (B & C). Therefore, L. plantarum, L. reuteri, and Ped. Acidilactici probiotic combination could be considered as an effective adjunctive treatment, especially for atopic patients with moderate to severe skin lesions.

• Journal of Electrical Engineering and Technology
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• v.9 no.1
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• pp.15-26
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• 2014

This paper proposes a Modified Particle Swarm Optimization with Time Varying Acceleration Coefficients (MPSO-TVAC) for solving economic load dispatch (ELD) problem. Due to prohibited operating zones (POZ) and ramp rate limits of the practical generators, the ELD problems become nonlinear and nonconvex optimization problem. Furthermore, the ELD problem may be more complicated if transmission losses are considered. Particle swarm optimization (PSO) is one of the famous heuristic methods for solving nonconvex problems. However, this method may suffer to trap at local minima especially for multimodal problem. To improve the solution quality and robustness of PSO algorithm, a new best neighbour particle called 'rbest' is proposed. The rbest provides extra information for each particle that is randomly selected from other best particles in order to diversify the movement of particle and avoid premature convergence. The effectiveness of MPSO-TVAC algorithm is tested on different power systems with POZ, ramp-rate limits and transmission loss constraints. To validate the performances of the proposed algorithm, comparative studies have been carried out in terms of convergence characteristic, solution quality, computation time and robustness. Simulation results found that the proposed MPSO-TVAC algorithm has good solution quality and more robust than other methods reported in previous work.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.1
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• pp.64-69
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• 2022

Commercialization of public technology is the transfer of government-led scientific and technological innovation and R&D results to the private sector, and is recognized as a key achievement driving economic growth. Therefore, in order to activate technology transfer, various machine learning methods are being studied to identify success factors or to match public technology with high commercialization potential and demanding companies. However, public technology commercialization data is in the form of a table and has a problem that machine learning performance is not high because it is in an imbalanced state with a large difference in success-failure ratio. In this paper, we present a method of utilizing CTGAN to resolve imbalances in public technology data in tabular form. In addition, to verify the effectiveness of the proposed method, a comparative experiment with SMOTE, a statistical approach, was performed using actual public technology commercialization data. In many experimental cases, it was confirmed that CTGAN reliably predicts public technology commercialization success cases.