• International Journal of Advanced Culture Technology
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• 제8권4호
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• pp.167-176
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• 2020

Recommendation Systems is the top requirements for many people and researchers for the need required by them with the proper suggestion with their personal indeed, sorting and suggesting doctor to the patient. Most of the rating prediction in recommendation systems are based on patient's feedback with their information regarding their treatment. Patient's preferences will be based on the historical behaviour of similar patients. The similarity between the patients is generally measured by the patient's feedback with the information about the doctor with the treatment methods with their success rate. This paper presents a new method of predicting Top Ranked Doctor's in recommendation systems. The proposed Recommendation system starts by identifying the similar doctor based on the patients' health requirements and cluster them using K-Means Efficient Clustering. Our proposed K-Means Clustering with Content Based Doctor Recommendation for Cancer (KMC-CBD) helps users to find an optimal solution. The core component of KMC-CBD Recommended system suggests patients with top recommended doctors similar to the other patients who already treated with that doctor and supports the choice of the doctor and the hospital for the patient requirements and their health condition. The recommendation System first computes K-Means Clustering is an unsupervised learning among Doctors according to their profile and list the Doctors according to their Medical profile. Then the Content based doctor recommendation System generates a Top rated list of doctors for the given patient profile by exploiting health data shared by the crowd internet community. Patients can find the most similar patients, so that they can analyze how they are treated for the similar diseases, and they can send and receive suggestions to solve their health issues. In order to the improve Recommendation system efficiency, the patient can express their health information by a natural-language sentence. The Recommendation system analyze and identifies the most relevant medical area for that specific case and uses this information for the recommendation task. Provided by users as well as the recommended system to suggest the right doctors for a specific health problem. Our proposed system is implemented in Python with necessary functions and dataset.

• Journal of Platform Technology
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• 제8권1호
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• pp.24-32
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• 2020

본 논문은 SMT라인의 핵심 기술인 칩마운터의 보급을 위해 교육연구용이나 샘플제작을 목적으로 사용이 가능한 3D 프린터 기술기반의 칩마운터를 설계하고 제작하였다. 저가형 구동부 설계를 위해 오픈루프제어가 가능한 스텝모터를 사용하였다. 스텝모터 사용으로 발생하는 모터의 진동, 탈조 등의 특성상 단점은 마이크로스텝제어 방법을 이용하여 보완하였다. 칩마운터 실험은 제작한 소형 칩마운터에 거버파일을 생성하고 실제 크기로 프린트하여 샘플보드 제작과 동일한 방법으로 HASL 처리되어 있는 PCB에 솔더크림을 프린팅한 후 부품을 실장하여 여러 번 반복해서 수행하였다. 실험결과 2012 미소부품과 달리 보정이 필요한 SOIC, TQFP 등의 부품은 부품 실장 시간이 2배정도 길었지만 비교적 정확히 실장되는 것을 확인할 수 있었다. 또한, 초기 위치에 대한 오차를 총 10회에 반복하여 측정한 결과 약 0.110mm의 비교적 적은 오차가 발생함을 확인할 수 있었다.

• 한국정보통신학회논문지
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• 제23권10호
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• pp.1298-1304
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• 2019

9.11 테러 이후 미국을 비롯한 선진국들의 해운물류 안전 보안체계가 크게 강화되었다. 해운물류의 검색에는 강력한 방사선을 투과하여 컨테이너의 내부를 확인하는 컨테이너 검색기 시스템을 주로 사용하는데, 국내에서는 전량 도입품을 적용하여 운용 중이며 국산화 개발에 대한 요구가 증가하고 있다. 이에 본 논문에서는 컨테이너 검색기 시스템의 핵심 구성요소인 X-Ray 어레이 검출 모듈 신호처리 시스템을 개발하여 제안한다. 아날로그 및 디지털 신호처리부를 통합형 하드웨어로 제작하였으며, X-선 데이터의 실시간 수집과 분석을 위해 FPGA 로직과 소프트웨어를 구현하여 시험하였다. 구현된 시스템은 기존 항만에서 사용되는 도입품 대비 해상도와 소비전력 면에서 우세하다.

• 한국인터넷방송통신학회논문지
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• 제21권3호
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• pp.29-34
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• 2021

소형 레이더 센서에 적용할 목적으로 W-대역의 핵심부품인 전력증폭 MMIC 칩 및 스위치 및 저잡음 증폭 MMIC 통합 칩을 국내설계하고 각각 OMMIC사의 60nm GaN 공정과 Winsemi.사의 0.1㎛ GaAs pHEMT 공정으로 제작하고 이를 모듈화하였다. 국내개발 MMIC 중에서 W-대역 전력증폭 MMIC는 송신모듈로 제작후 출력 값 27.7 dBm로 측정되었고, 스위치와 저잡음증폭 통합 MMIC는 수신모듈로 제작후 잡음지수는 9.17 dB로 분석 결과와 근사한 측정 결과를 보였다. 또한 온도 시험을 통해서 그 결과를 분석하였는데 송신모듈은 고온에서 상온과 출력에서 1.6 dB 편차를 보였고 수신모듈은 고온과 저온 모두 포함하여 2.7 dB의 편차를 보였으나 상온과 비교하여서는 1.4 dB 상승하였다. 온도시험까지를 포함하는 결과를 확인한 바와 같이 소형 레이더 센서의 송수신기에 W-대역 국내 개발 MMIC 칩을 적용 가능할 것으로 판단된다.

• 한국문헌정보학회지
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• 제55권3호
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• pp.321-342
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• 2021

본 연구는 변화하는 연구 환경을 대비하고 연구의 전 과정을 체계적으로 지원하기 위해 '연구 수명주기(research lifecycle)'를 기반으로 대학도서관 연구지원서비스 모형을 개발하는 것을 목적으로 한다. 연구목적 달성을 위해 먼저 문헌고찰과 서비스 수요자 대상 설문조사를 통해 연구의 각 단계에서 지원해야 할 연구지원서비스의 요소를 구성하였다. 다음으로 효과적인 서비스 운영을 위해 서비스 제공자를 대상으로 설문조사와 심층면담을 실시하였다. 그 결과 20개 핵심 요소를 포함한 6단계의 50개 요소로 구성된 '연구지원서비스 요소 모형'과 정부 및 유관기관, 대학도서관, 대학 내 기관 간 유기적인 체계로 구성된 '연구지원서비스 운영 체계 모형'을 제안하였다.

• 센서학회지
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• 제30권6호
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• pp.436-440
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• 2021

The impact of the gate length (L_g) on the DC and high-frequency characteristics of indium-rich In_0.8Ga_0.2As channel high-electron mobility transistors (HEMTs) on a 3-inch InP substrate was inverstigated. HEMTs with a source-to-drain spacing (L_SD) of 0.8 ㎛ with different values of L_g ranging from 1 ㎛ to 19 nm were fabricated, and their DC and RF responses were measured and analyzed in detail. In addition, a T-shaped gate with a gate stem height as high as 200 nm was utilized to minimize the parasitic gate capacitance during device fabrication. The threshold voltage (V_T) roll-off behavior against L_g was observed clearly, and the maximum transconductance (g_{m_max}) improved as L_g scaled down to 19 nm. In particular, the device with an L_g of 19 nm with an L_SD of 0.8 mm exhibited an excellent combination of DC and RF characteristics, such as a g_{m_max} of 2.5 mS/㎛, On resistance (R_ON) of 261 Ω·㎛, current-gain cutoff frequency (f_T) of 738 GHz, and maximum oscillation frequency (f_max) of 492 GHz. The results indicate that the reduction of L_g to 19 nm improves the DC and RF characteristics of InGaAs HEMTs, and a possible increase in the parasitic capacitance component, associated with T-shap, remains negligible in the device architecture.

• International Journal of Computer Science & Network Security
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• 제22권10호
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• pp.73-82
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• 2022

Early detection continues to be the mainstay of breast cancer control as well as the improvement of its treatment. Even so, the absence of cancer symptoms at the onset has early detection quite challenging. Therefore, various researchers continue to focus on cancer as a topic of health to try and make improvements from the perspectives of diagnosis, prevention, and treatment. This research's chief goal is development of a system with deep learning for classification of the breast cancer as non-malignant and malignant using mammogram images. The following two distinct approaches: the first one with the utilization of patches of the Region of Interest (ROI), and the second one with the utilization of the overall images is used. The proposed system is composed of the following two distinct stages: the pre-processing stage and the Convolution Neural Network (CNN) building stage. Of late, the use of meta-heuristic optimization algorithms has accomplished a lot of progress in resolving these problems. Teaching-Learning Based Optimization algorithm (TIBO) meta-heuristic was originally employed for resolving problems of continuous optimization. This work has offered the proposals of novel methods for training the Residual Network (ResNet) as well as the CNN based on the TLBO and the Genetic Algorithm (GA). The classification of breast cancer can be enhanced with direct application of the hybrid TLBO- GA. For this hybrid algorithm, the TLBO, i.e., a core component, will combine the following three distinct operators of the GA: coding, crossover, and mutation. In the TLBO, there is a representation of the optimization solutions as students. On the other hand, the hybrid TLBO-GA will have further division of the students as follows: the top students, the ordinary students, and the poor students. The experiments demonstrated that the proposed hybrid TLBO-GA is more effective than TLBO and GA.

• 보건행정학회지
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• 제32권3호
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• pp.304-316
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• 2022

Background: As prevention of coronavirus disease 2019 (COVID-19) transmission in healthcare settings has become a critical component in its effective management, COVID-19 specific infection prevention and control (IPC) guidelines were developed and implemented by numerous countries. Although largely based on the current evidence-base, guidelines show much heterogeneity, as they are influenced by respective health system capacities, epidemiological risk, and socioeconomic status. This study aims to analyze the variations and concurrences of these guidelines to draw policy implications for COVID-19 response and future guidelines development. Methods: The contents of the COVID-19 IPC guidelines were analyzed using the categories and codes developed based on "World Health Organization guidelines on core components." Data analysis involved reviewing, appraising and synthesizing data from guidelines, which were then arranged into categories and codes. Selection of countries was based on the country income level, availability of COVID-19 specific IPC guideline developed at a national or district level. Results: The guidelines particularly agreed on IPC measures regarding application of standard precautions and providing information to patients and visitors, monitoring and audit of IPC activities and staff illnesses, and management of built environment/equipments. The guidelines showed considerable differences in certain components, such as workplace safety measures and criteria for discontinuation of precautions. Several guidelines also contained unique features which enabled a more systematic response to COVID-19. Conclusion: The guidelines generally complied with the current evidence-based COVID-19 management but also revealed variances stemming from differences in local health system capacity. Several unique features should be considered for benchmark in future guidelines development.

• International Journal of Computer Science & Network Security
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• 제22권10호
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• pp.207-213
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• 2022

The article reveals the problems of aesthetic education of young people as a necessary condition for the cultural development of the individual in the modern conditions of the information society. Aesthetic education should contribute to the formation of a creatively active personality. The basis of aesthetic education of young people in the modern conditions of the information society is the core of artistic culture - art as a unique form of public consciousness that contributes to the spiritual development and improvement of the inner world of a person. The main tasks of aesthetic education are highlighted. It is focused on the formation of aesthetic consciousness and aesthetic behavior of the individual. The formation of true aesthetic and spiritual values of students is impossible without a deep awareness of the national foundations of culture, which combines science (including technology), education, art, morality, way of life and worldview, and most importantly its information component - information culture. The effectiveness of aesthetic education of students largely depends on the skillful use of various methods and means by teachers. Aesthetic education of students involves a qualitative change in the level of their aesthetic culture in the modern conditions of the information society. In the era of information and computer technologies, the main Institute for aesthetic education of young people, as a necessary condition for the cultural development of the individual, is mass media. Television stands out especially because it has several information series (audio and video sequence), multiplied by the efficiency of providing information that increases several times compared to paper media, which allows you to report directly during the event.

• 한국소프트웨어감정평가학회 논문지
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• 제16권2호
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• pp.77-85
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• 2020

본 논문에서는 스마트 계약의 핵심 기술로 사용되는 분산원장 기술의 운영과 분산원장 기술의 구성요소에 대하여 연구하고 분산원장의 요소기술을 차세대 만물네트워크에 적용하기 위한 해결책으로 현재 ISO/IEC JTC1 SC6에서 표준화가 진행 중인 만물네트워크 프로토콜의 사물유저 소셜 그룹 관리 기능을 이용한 분산원장 기술의 프로토콜을 제시하였다. 만물네트워크의 사물유저 소셜 그룹 관리 기능은 안정적인 프로토콜 기능과 데이터 전송 관리를 제공하고 있으며 멤버 디스커버리기능, 데이터 전송 통로 관리기능 등의 그룹 관리 기능을 제공하고 있다. 분산원장 요소 기술을 상호 합의로 적용할 수 있는 서비스를 제공할 수 있어서 분산원장 노드들의 그룹 관리 기능에 도움이 될 것으로 예상하며 표준화가 진행되고 있는 ISO/IEC JTC1 SC6의 미래 네트워크 기능과 구조에 적극 반영하고자 한다.