• Clinical and Experimental Pediatrics
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• 제65권2호
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• pp.73-80
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• 2022

A mercury sphygmomanometer (MS) has been the gold standard for pediatric blood pressure (BP) measurements, and diagnosing hypertension is critical. However, because of environmental issues, other alternatives are needed. Noninvasive BP measurement devices are largely divided into auscultatory and oscillometric types. The aneroid sphygmomanometer, the currently used auscultatory method, is inferior to MS in terms of limitations such as validation and regular calibration and difficult to apply to infants, in whom Korotkoff sounds are not audible. The oscillometric method uses an automatic device that eliminates errors caused by human observers and has the advantage of being easy to use; however, owing to its measurement accuracy issues, the development of an international validation protocol for children is important. The hybrid method, which combines the auscultatory and electronic methods, solves some of these problems by eliminating the observer bias of terminal digit preference while maintaining measurement accuracy; however, the auscultatory method remains limited. As the age-related characteristics of the pediatric group are heterogeneous, it is necessary to reconsider the appropriate BP measurement method suitable for this indication. In addition, the mobile application-based BP measurement market is growing rapidly with the development of smartphone applications. Although more research is still needed on their accuracy, many experts expect that mobile application-based BP measurement will effectively reduce medical costs due to increased ease of access and early BP management.

• 복식문화연구
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• 제30권1호
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• pp.161-171
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• 2022

Traditional tie-dyeing is widely implemented in the clothing handicraft culture in China, South Korea, and Japan. Since it was developed 2,000 years ago, it has become a popular method of fabric making in the world and is highly respected by fashion designers. Based on the existing traditional tie-dyeing methods, this study conducted specific research on the 3D printing technology of the SLS laser method and the micro tool design application method of the clamp-dyeing process. Through the experimental methods of this study, it proposes to use the "7000 Nylon" material, which is commonly used in 3D printing, to develop a new clamp-dyeing tool. This new tool can be widely used in the clamp-dyeing of fabrics, such as cotton, hemp, silk, and some chemical fibers. The applied method and principle can be consistent with the traditional clamp-dyeing method. Therefore, the innovation of tie-dyeing technology is the best protection measure for the development and inheritance of traditional fabric making. The continuation of artistic life needs originality, which is also the best response to market competition. At the same time, this new design of the clamp-dyeing tool has the characteristics of novelty, innovation, and rich changes, which aligns with the new fashion demands of current fabric design.

• Journal of Computing Science and Engineering
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• 제2권3호
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• pp.274-300
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• 2008

Software testing cost can be reduced if the process of testing is automated. However, the test data generation task is still performed mostly by hand although numerous theoretical works have been proposed to automate the process of generating test data and even commercial test data generators appeared on the market. Despite prolific research reports, few attempts have been made to evaluate and characterize those techniques. Therefore, a lot of works have been proposed to automate the process of generating test data. However, there is no overall evaluation and comparison of these techniques. Evaluation and comparison of existing techniques are useful for choosing appropriate approaches for particular applications, and also provide insights into the strengths and weaknesses of current methods. This paper conducts experiments on four representative test data generation techniques and discusses the experimental results. The results of the experiments show that the genetic algorithm (GA)-based test data generation performs the best. However, there are still some weaknesses in the GA-based method. Therefore, we modify the standard GA-based method to cope with these weaknesses. The experiments are carried out to compare the standard GA-based method and two modified versions of the GA-based method.

• 한국건축시공학회:학술대회논문집
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• 한국건축시공학회 2009년도 춘계 학술논문 발표대회 학계
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• pp.33-39
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• 2009

Asphalt waterproofing method has a long history over 80years since introduce to domestic market. This method has a good point as high water proofing not permeable to water by material performance of bitumen, In spite of high waterproofing, the application has become decreased. This asphalt method has some problem such as work safety, low workability by complicated work process, environmental problem in job site, it should be solve by complementary measures. 'Therefore, in this paper, suggest the principle of high pressure spray by heat cycle type equipment by analysis of exist problem and materials investigation. And. study and examine the spray type degeneration rubberized asphalt membrane materials to adopt job site. Moreover, suggest the evidence by inspection about waterproofing performance by Korean Industrial Standard through the performance test of the spray type degeneration rubberized asphalt membrane materials.

• Journal of Information Processing Systems
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• 제20권3호
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• pp.317-327
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• 2024

Along with the rapid development of the database technology, as well as the widespread application of the database management systems are more and more large. Now the data mining technology has already been applied in scientific research, financial investment, market marketing, insurance and medical health and so on, and obtains widespread application. We discuss data mining technology and analyze the questions of it. Therefore, the research in a new data mining method has important significance. Some literatures did not consider the differences between attributes, leading to redundancy when constructing concept lattices. The paper proposes a new method of uncertain data mining based on the concept lattice of connotation difference degree (c_diff). The method defines the two rules. The construction of a concept lattice can be accelerated by excluding attributes with poor discriminative power from the process. There is also a new technique of calculating c_diff, which does not scan the full database on each layer, therefore reducing the number of database scans. The experimental outcomes present that the proposed method can save considerable time and improve the accuracy of the data mining compared with U-Apriori algorithm.

• 대한치과기공학회지
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• 제23권2호
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• pp.203-210
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• 2002

This test is to conduct applied research the reaction area of the Ti-cast metal body which is made use of Dental Phosphate-silica alumina bonded investment material selling at a market, and the cooling method is how to effect on the acicular. The experimentation is as followings, 1. Experimental specimens After invest with Dental Phosphate-silica alumina bonded investment material, the $10{\times}10{\times}1.0mm^3$ wax pattern was casted by Dental high vacuum argon centrifugal casting machine. 2. Test We can analyze SEM/EDS, XRD utilize the fractography(an optical microscope). 3. Conclusion The pure cast metal body constituted of reaction products layer, stability layer and contamination layer. This pure cast have no connection with the cooling condition. The pure Titanium shows difference in a component distribution according to the cooling condition. Through this experimentation we can establish that acicular in the pure Ti-cast metal is consist of Hexagonal structure a=2.9505$\AA$, c=4.6826$\AA$.

• 설비공학논문집
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• 제27권3호
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• pp.123-127
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• 2015

Thermochemical heat storage is a cutting-edge technology which can balance the energy usage between supplies and demands. Recent studies have suggested that thermochemical heat storage has significant advantages, compared to other storage methods such as latent heat storage or sensible heat storage. Nevertheless, ongoing research and development studies showed that the thermochemical heat storage has some serious problems. To bring the thermochemical heat storage method into market, we introduce experimental setup with composite material using perlite that supports calcium chloride sorbent. Also, to compare thermal properties with composite material, we used pure thermochemical material. Then, we found that the composite material has higher heat storage density by mass than pure calcium chloride. Moreover, it can be easily regenerated, which was impossible in the pure thermochemical materials.

• 노동경제논집
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• 제23권2호
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• pp.107-126
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• 2000

본 연구는 훈련을 받지 않은 실직자들로 비교집단을 구성하여 훈련을 받은 실직자들과 함께 추적조사를 실시함으로써, 훈련을 받지 않았을 경우의 가상적인 결과와 비교하여 훈련의 성과를 추정하는 준실험적인 평가를 하였다. Cox모형을 통한 추정결과, 훈련참여는 실직자의 재취업 확률을 유의하게 높이는 효과를 가진다. 그러나 훈련내용은 재취업 확률에 유의하게 영향을 미치지 않은 것으로 나타났다. 또한 훈련 참여자가 수강한 훈련 관련분야로의 재취업은 매우 미흡한 것으로 조사되었다. 이는 실업자재취직훈련이 노동시장에서의 이탈을 억제하여 재취업을 촉진하는 효과를 가지지만, 취업능력의 제고를 통한 안정적인 일자리로의 재취업이라는 적극적 노동시장정책의 수행에는 아직 미흡함을 시사한다.

• 지능정보연구
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• 제26권1호
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• pp.1-21
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• 2020

인공지능 기술의 급속한 발전과 함께 빅데이터의 상당 부분을 차지하는 비정형 텍스트 데이터로부터 의미있는 정보를 추출하기 위한 다양한 연구들이 활발히 진행되고 있다. 비즈니스 인텔리전스 분야에서도 새로운 시장기회를 발굴하거나 기술사업화 주체의 합리적 의사결정을 돕기 위한 많은 연구들이 이뤄져 왔다. 본 연구에서는 기업의 성공적인 사업 추진을 위해 핵심적인 정보 중의 하나인 시장규모 정보를 도출함에 있어 기존에 제공되던 범위보다 세부적인 수준의 제품군별 시장규모 추정이 가능하고 자동화된 방법론을 제안하고자 한다. 이를 위해 신경망 기반의 시멘틱 단어 임베딩 모델인 Word2Vec 알고리즘을 적용하여 개별 기업의 생산제품에 대한 텍스트 데이터를 벡터 공간으로 임베딩하고, 제품명 간 코사인 거리(유사도)를 계산함으로써 특정한 제품명과 유사한 제품들을 추출한 뒤, 이들의 매출액 정보를 연산하여 자동으로 해당 제품군의 시장규모를 산출하는 알고리즘을 구현하였다. 실험 데이터로서 통계청의 경제총조사 마이크로데이터(약 34만 5천 건)를 이용하여 제품명 텍스트 데이터를 벡터화 하고, 한국표준산업분류 해설서의 산업분류 색인어를 기준으로 활용하여 코사인 거리 기반으로 유사한 제품명을 추출하였다. 이후 개별 기업의 제품 데이터에 연결된 매출액 정보를 기초로 추출된 제품들의 매출액을 합산함으로써 11,654개의 상세한 제품군별 시장규모를 추정하였다. 성능 검증을 위해 실제 집계된 통계청의 품목별 시장규모 수치와 비교한 결과 피어슨 상관계수가 0.513 수준으로 나타났다. 본 연구에서 제시한 모형은 의미 기반 임베딩 모델의 정확성 향상 및 제품군 추출 방식의 개선이 필요하나, 표본조사 또는 다수의 가정을 기반으로 하는 전통적인 시장규모 추정 방법의 한계를 뛰어넘어 텍스트 마이닝 및 기계학습 기법을 최초로 적용하여 시장규모 추정 방식을 지능화하였다는 점, 시장규모 산출범위를 사용 목적에 따라 쉽고 빠르게 조절할 수 있다는 점, 이를 통해 다양한 분야에서 수요가 높은 세부적인 제품군별 시장정보 도출이 가능하여 실무적인 활용성이 높다는 점에서 의의가 있다.

• 자원ㆍ환경경제연구
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• 제29권1호
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• pp.1-22
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• 2020

가상가치평가법은 비시장재 가치평가를 위한 중요한 도구이나 가상편의가 존재할 수 있어 그 유효성에 대한 논쟁이 지속되어 왔다. 그러나 가상가치평가 응답자가 그 상황을 완전히 가상적이라고 믿지 않을 수 있는데, 이러한 경우 결과수렴성이 존재한다고 한다. 결과수렴성이 충분히 크다면 추정된 가치가 가상편의로부터 자유로울 수 있다는 점이 최근 해외 연구에 의해 제시되었다. 본 연구에서는 한국 대학생을 대상으로 가상가치평가법으로 추정된 기부금 지불용의액의 결과수렴성이 상대적으로 높은 집단과 낮은 집단의 가상편의를 실험을 통해 비교분석한다. 본 연구의 결과는 결과수렴성이 상대적으로 높은 집단의 가상편의 존재 확률 및 크기가 모두 유의하게 낮아, 결과수렴성이 가상가치평가법의 가상편의를 결정짓는 중요한 요인임을 보여준다. 이러한 결과는 환경정책 등 실제 정책과 관련하여 수행되는 가상가치평가법의 경우 가상편의로부터 자유로울 수 있는 가능성을 제시해 준다는 점에서 그 중요한 정책적 함의를 가지므로, 필드실험 등을 통해 결과수렴성과 가상편의의 관계를 확인해 보는 추가 연구가 필요할 것으로 판단된다.