• 한국전기전자재료학회논문지
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• 제13권7호
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• pp.598-606
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• 2000

In this paper we investigated the relation between the surface degradations and anti-pollution characteristics of Room Temperature Vulcanized(RTV) silicone rubber coating that has different roughness through immersing into saline water. We utilized several analytic techniques such as atomic force microscopy(AFM) scaning electron microscopy(SEM) contact angle Salt Deposit Density(SDD) and average leakage current under the condition of salt fog. It is found that the surface roughness of treated RTV silicone rubber increased and the hydrophobicity of sample surface decreased with increasing the duration o immersion into water due to the erosion of base polymer the melting down alumina trihydrate(ATH) and the diffusion of Low Molecular weight(LMW) fluid. Despite the roughness of surface had been increased by water immersion excellant anti-pollution and recovery characteristics were maintained and SDD saturated to 0.1~0.14mg/cm$^2$. The average leakage current under salt fog increased with surface roughness. Measurement of average leakage current will be helpful to investigate surface degradation and lifetime expectation of RTV silicone coating.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제18권7호
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• pp.1817-1839
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• 2024

To solve the problem of insufficient recognition of key nodes in the existing software defect detection process, this paper proposes a key node recognition algorithm based on node expansion degree and improved K-shell position, shortened as SDD_KNR. Firstly, the calculation formula of node expansion degree is designed to improve the degree that can measure the local defect propagation capability of nodes in the software network. Secondly, the concept of improved K-shell position of node is proposed to obtain the improved K-shell position of each node. Finally, the measurement of node defect propagation capability is defined, and the key node recognition algorithm is designed to identify the key function nodes with large defect impact range in the process of software defect detection. Using real software systems such as Nano, Cflow and Tar to design three sets of experiments. The corresponding directed weighted software function invoke networks are built to simulate intentional attack and defect source infection. The proposed SDD_KNR algorithm is compared with the BC algorithm, K-shell algorithm, KNMWSG algorithm and NMNC algorithm. The changing trend of network efficiency and the strength of node propagation force are analyzed to verify the effectiveness of the proposed SDD_KNR algorithm.

• 한국작물학회지
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• 제39권5호
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• pp.489-494
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• 1994

맥주보리 품질에서 중요한 성분인 단백질함량을 NIRS를 이용하여 신원하고 정확하게 분석하기 위해 최적의 검양식 작성에 관한 일련의 시험을 실시한 결과는 다음과 같다. 1. Micro-Kjeldahl법에 의해 분석한 단백질함량을 이용하여 작성된 NIRS의 검양식중 2095 /1941/ 2282/ 2086nm 파장으로 구성된 검양식에서 결정계수($R^2$)가 0.95로서 가장 높았다. 2. NIRS의 2095/1941/2282/2086nm 파장으로 구성된 검양식으로 '92년도에 생산된 18품종을 분석한 결과 SDD가 0.47, SEP가 0.43, r이 0.95로서 매우 우수하였으며 평균 단백질함량도 Micro-Kjeldahl법의 10.25%와 동일하였다. 3. NIRS의 2095/1941/2282/2086nm 파장으로 구성된 검양식으로 '93년에 생산된 미지의 시료 31품종을 Micro-Kjeldahl법과 비교분석한 결과 SDD가 0.69, SEP가 0.67, r(simple correlation)이 0.91이었다. 4. 본 시험에서 작성된 NIRS의 검양식을 이용할 경우 Micro-Kjeldahl 분석치와 r값이 0.91로서 고도의 유의성이 인정되었으며 bias값을 보정해 주면 단백질함량의 평균값이 Micro-Kjeldahl법과 매우 근접된 값을 얻을 수 있어서 맥주보리 육종의 초기세대에서 단기간 다량의 계통을 분석할 수 있을 것으로 기대되었다.

• 한국전자현미경학회:학술대회논문집
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• 한국현미경학회 2007년도 제38차 춘계학술대회 초록집
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• pp.24-25
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• 2007

• Journal of Forest and Environmental Science
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• 제30권3호
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• pp.259-266
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• 2014

Stand Density Diagrams (SDD) are average stand-level models which graphically illustrate the relationship between yield, density and mortality throughout the various stages of forest development. These are useful tools for designing, displaying and evaluating alternative density regimes in even-aged forest ecosystems to achieve a desired future condition. This contribution presents an example of a SDD that has been constructed for teak forests of Karnataka in southern India. The relationship between stand density, dominant height, quadratic mean diameter, relative spacing and stand volume is represented in one graph. The relative spacing index was used to characterize the population density. Two equations were fitted simultaneously to the data collected from 27 sample plots measured annually for three years: one relates quadratic mean diameter with stand density and dominant height while the other relates total stand volume with quadratic mean diameter, stand density and dominant height.

• Journal of Chest Surgery
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• 제16권4호
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• pp.452-457
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• 1983

Transposition of great arteries is relatively common cyanotic heart disease excluding TOF and is divided to two groups: complete TGA and congenitally corrected TGA. We experienced operations in 3 cases of TGA, the 1st case was 12 year-old male: TGA[SDD] + VSD+PS and treated with Rastelli`s operation, but expired due to low cardiac output syndrome postoperatively. The 2nd case,13 year-old male was also TGA[SDD]+VSD+PS and treated with Rastelli`s operation with good operative result. The 3rd case was 18-year old male: congenitally corrected TGA[SLL]+VSD+ PA+ASD and operation was done according to the met. hod reported by Danielson et al in 1980. Post-operative AV block led to implantation of permanent epicardial pacemaker with good result.

• 한국철도학회:학술대회논문집
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• 한국철도학회 2002년도 추계학술대회 논문집(I)
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• pp.382-386
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• 2002

The utilization of System Design Data(SDD) based upon Model Based Systems Engineering(MBSE) process is as important as the building of them. This paper describes the development and the utilization of a report template which can extract and modify data we need from SDD. A report template is defined as a set of elements in the Reporting Facility and is created by placing a sequence of Reporting elements onto a Behavior Diagram-like structure called a ReportNet. We focus on the development of a report template to secure and validate requirements traceability.

• International Journal of Advanced Culture Technology
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• 제9권3호
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• pp.305-314
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• 2021

Currently, due to COVID-19, household waste has a lot of impact on the environment due to packaging of food delivery. In this paper, we design and implement Faster-RCNN, SSD, and YOLOv4 models for municipal waste detection and classification. The data set explores two types of plastics, which account for a large proportion of household waste, and the types of aluminum cans. To classify the plastic type and the aluminum can type, 1,083 aluminum can types and 1,003 plastic types were studied. In addition, in order to increase the accuracy, we compare and evaluate the loss value and the accuracy value for the detection of municipal waste classification using Faster-RCNN, SDD, and YoloV4 three models. As a final result of this paper, the average precision value of the SSD model is 99.99%, the average precision value of plastics is 97.65%, and the mAP value is 99.78%, which is the best result.

• 비파괴검사학회지
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• 제17권3호
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• pp.162-173
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• 1997

최근 산업 발전에 따라 철강 제품의 수요 증가와 함께 품질의 고급화에 대한 요구도 점차 증가하고 있는데, 이러한 수요자의 요구에 부응하기 위해 철강업계는 냉연 강판 표면결함검출기(surface defect detector; SDD)를 도입 운용하고 있다. 그러나 현재 국내 철강 제조업체들이 보유하고 있는 상용 SDD는 결함의 검출에는 매우 효율적이지만 결함의 분류에는 아직 만족할만한 성능을 보여주지 못하고 있다. 그 이유는 SDD가 결함 분류를 위해 채택한 분류표분류기(classification table; CT)는 시험 표본의 모든 특징값들이 분류표의 범위 내에 있을 때만 결함의 분류를 정확히 수행하기 때문에 결함 분류 정확도가 낮을 뿐 아니라, 분류 법칙의 설정을 작업자의 수작업에 의존하고 있어 현장 적용을 더욱 어렵게 하고 있다. 이러한 단점을 극복하기 위해 본 연구에서 학습 표본으로부터 확률밀도함수를 추정하고 여기에서 분류 법칙을 자동적으로 결정하는 방법을 제시하였고, 강화분류표분류기(enhanced classification table; ECT)와 확률신경회로망분류기(probabilistic neural network; PNN)를 새롭게 제안하여 이들 분류기를 실제적인 문제에 적용하였다. 그 결과 ECT와 PNN 모두 결함 분류 성능을 획기적으로 높일 수 있는 좋은 방법이며, 특히 PNN은 아주 구별하기 어려운 결함도 구별해내는 능력이 있을 뿐 아니라, 병렬 처리 능력을 가지고 있기 때문에 다량의 데이터를 실시간으로 처리해야 하는 경우에 적용할 수 있는 매우 효율적인 분류기임을 확인하였다.

• Journal of Periodontal and Implant Science
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• 제39권1호
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• pp.37-44
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• 2009

Purpose: Tetracycline and its chemically modified non-antibacterial analogues can inhibit certain host-derived tissue destructive collagenases such as matrix metalloproteinases. The purpose of this study was to evaluate clinical and microbiologic effects of the subantimicrobial dose of doxycycline(SDD) in conjunction with scaling and root planing. Materials and methods: A total of 30 patients with chronic periodontitis who were going to receive scaling and root planing were randomly allocated to receive either a doxycycline hyclate for 3 months or nothing. Clinical probing depth, clinical attachment level, gingival recession, and bleeding on probing were measured by one periodontist. After a periodontal examination, microbial samples were collected using sterile paper points. The effect of SDD in conjunction with scaling and root planing on alterations of the periodontal pathogens (Aggregatibacter actinomycetemcomitans, Tannerella forsythia, Porphyromonas gingivalis) were also assessed using l6S rRNA polymerase chain reaction. Results: During the treatment period, clinical parameters for both treatment group and control group were improved. After 3 months, reductions in probing depth and gains in clinical attachment level were significantly greater for the SDD group than control group. Microbial analysis showed that there was no alteration of the periodontal pathogens and no difference between the groups. Conclusion: This study suggested that the subantimicrobial dose of doxycycline as an adjunct therapy with scaling and root planing might be effective and safe in the management of chronic periodontitis.