• International Journal of Computer Science & Network Security
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• 제21권12spc호
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• pp.526-538
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• 2021

Machine and deep learning-based models are emerging techniques that are being used to address prediction problems in biomedical data analysis. DNA sequence prediction is a critical problem that has attracted a great deal of attention in the biomedical domain. Machine and deep learning-based models have been shown to provide more accurate results when compared to conventional regression-based models. The prediction of the gene sequence that leads to cancerous diseases, such as prostate cancer, is crucial. Identifying the most important features in a gene sequence is a challenging task. Extracting the components of the gene sequence that can provide an insight into the types of mutation in the gene is of great importance as it will lead to effective drug design and the promotion of the new concept of personalised medicine. In this work, we extracted the exons in the prostate gene sequences that were used in the experiment. We built a Deep Neural Network (DNN) and Bi-directional Long-Short Term Memory (Bi-LSTM) model using a k-mer encoding for the DNA sequence and one-hot encoding for the class label. The models were evaluated using different classification metrics. Our experimental results show that DNN model prediction offers a training accuracy of 99 percent and validation accuracy of 96 percent. The bi-LSTM model also has a training accuracy of 95 percent and validation accuracy of 91 percent.

• 정보처리학회논문지B
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• 제13B권6호
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• pp.615-624
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• 2006

이 논문은 이동 에이전트 시스템에 기반을 둔 가상의 병렬분산 컴퓨팅 환경에서 병렬로 수행되는 다층 인공신경망 시뮬레이터를 구현하는 것을 목적으로 한다. 다층 신경망은 학습세션, 학습데이터, 계층, 노드, 가중치 수준에서 병렬화가 이루어진다. 이 논문에서는 네트워크의 통신량이 상대적으로 적은 학습세션 및 학습데이터 수준의 병렬화가 가능한 신경망 시뮬레이터를 개발하고 평가하였다. 평가결과, 학습세션 병렬화와 학습데이터 병렬화 성능분석에서 약 3.3배의 학습 수행 성능 향상을 확인할 수 있었다. 가상의 병렬 컴퓨터에서 신경망을 병렬로 구현하여 기존의 전용병렬컴퓨터에서 수행한 신경망의 병렬처리와 비슷한 성능을 발휘한다는 점에서 이 논문의 의의가 크다고 할 수 있다. 따라서 가상의 병렬 컴퓨터를 이용하여 신경망을 개발하는데 있어서, 비교적 시간이 많이 소요되는 학습시간을 줄임으로서 신경망 개발에 상당한 도움을 줄 수 있다고 본다.

• International Journal of Computer Science & Network Security
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• 제22권12호
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• pp.116-124
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• 2022

Information and communication technologies used in the social sphere are born due to the development of computer technologies. The main task of the distance learning process in higher education institutions is not to provide information, but to teach how to obtain and use it. The purpose of the article: to identify innovative approaches in the training of specialists in higher education institutions in the context of distance learning. Various innovative approaches to organizing the work of students of higher educational institutions in the context of distance learning are considered. Based on the conducted research, it is concluded that each of the approaches described by us outlines the study of the phenomenon of professional training of a specialist in the condition of distance learning. All the described approaches significantly contribute to the improvement of professional training of specialists, encourage students to self-improvement, professional development and enrich their professional competence in modern conditions. The emergence and spread of innovative technologies means not only a change in the activity itself and its inherent means and mechanisms of its implementation, but also a significant restructuring of goals, value orientations, specific knowledge, skills and abilities. Therefore, the current stage of the development of civilization, scientific and technological progress requires the emergence of such specialists who would have broad humanitarian thinking, would have good psychological training, would be able to build professional activities according to laws that take into account the relationship between economic productivity and creativity, as well as the desire of the individual for constant renewal, self-realization. Only such qualities will help you master the specifics of innovative technologies well. We see the prospects in the study of innovative approaches to training specialists in higher education institutions in the condition of distance learning in foreign countries.

• 한국멀티미디어학회논문지
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• 제14권12호
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• pp.1517-1527
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• 2011

This paper presents a motion capture based rehabilitation training system for a lower-limb paretic patient. The system evaluates the rehabilitation status of the patient by using the bend posture of the knees and the weight balance of the body. The posture of both legs is captured with a single camera using the planar mirror. The weight distribution is obtained by the Wii Balance Board. Self-occlusion problem in the tracking of the legs is resolved by using k-nearest neighbor based clustering with body symmetry and local-linearity of the posture data. To do this, we present data normalization and its symmetric property in the normalized vector space.

• Journal of Power Electronics
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• 제11권6호
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• pp.922-930
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• 2011

In this paper, two radial basis function neural networks (RBFNNs) are used to dynamically identify harmonics content in converter waveforms based on the p-q (real power-imaginary power) theory. The converter waveforms are analyzed and the types of harmonic content are identified over a wide operating range. Constant power and sinusoidal current compensation strategies are investigated in this paper. The RBFNN filtering training algorithm is based on a systematic and computationally efficient training method called the hybrid learning method. In this new methodology, the RBFNN is combined with the p-q theory to extract the harmonics content in converter waveforms. The small size and the robustness of the resulting network models reflect the effectiveness of the algorithm. The analysis is verified using MATLAB simulations.

• 한국컴퓨터정보학회논문지
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• 제27권4호
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• pp.153-160
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• 2022

본 논문에서는 홈트레이닝에 참여하여 체력을 단련하고 있는 경찰관련학과 학생들의 자기결정성과 홈트레이닝 만족도와 재이용과의 관계를 알아보고자 하였다. 이를 위해 부산, 경남지역 D, S, K대학교 경찰행정학과, 경찰무도학과 재학생중 홈트레이닝에 참여한 경험이 있는 학생 349명을 대상으로 조사하였다. SPSSWIN VER 25+, AMOS 20.0 프로그램을 이용하여 자기결정성, 운동만족, 재이용 요인간의 관계를 검증한 결과, 첫째, 홈트레이닝 참여자의 자기결정성 하위요인인 자율성, 유능감, 관계성은 홈트레이닝 만족도에 긍정적인 영향을 미쳤다. 둘째, 홈트레이닝 참여자의 운동만족은 홈트레이닝 재이용에 긍정적인 영향을 미쳤다.

• 한국전자파학회논문지
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• 제15권10호
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• pp.996-1004
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• 2004

1차원 클러스터 기반의 시퀀스 등화기(1-D CBSE)는 시퀀스 등화기(MLSE)가 갖는 계산상의 복잡성을 효율적으로 해결하고 비선형 채널에서의 뛰어난 성능 개선을 가져온다. 본 논문에서는 다중 경로 페이딩 채널 추정에 대응하는 1-D CBSE의 클러스터 중심을 추정하기 위한 향상된 훈련 시퀀스 구성 기법을 제안하였다. 새로이 제안된 등화기는 기존의 방식에서 갖는 문제점을 해결하고, 보다 짧은 길이의 훈련 시퀀스를 이용함으로써 대역폭 효율을 증대시키는 향상된 결과를 가져왔다. 제안된 알고리즘의 우수성은, 기존의 방법과 제안된 최적의 훈련시퀀스를 적용한 1-D클러스터 기반의 새로운 중심 추정을 통한 방법을 비교를 통하여 보였다. 특히, 컴퓨터 시뮬레이션에 의한 심볼 에러율(SER)에 기반을 둔 비교 분석을 통하여 살펴보았다.

• International Journal of Computer Science & Network Security
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• 제22권11호
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• pp.149-156
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• 2022

The study aimed to identify the effectiveness of the training program based on the social story strategy for developing self-determination skills among students with autism spectrum disorder. The population of the study consisted of all students with autism spectrum disorder in the Desired Hope Association for People with Disabilities in Makkah Al-Mukarramah and the sample of the study consisted of (6) students. The study used the quasi-experimental approach with one group. To achieve the objectives of the study, the ARCS scale for self-determination skills was used, Hassan Al-Masry (2018). The results of the study revealed, through comparing the students' performances in their pre and post-tests regarding to the ARKS scale and through their answers on the scale, the effectiveness of the training program based on the social story for developing the skills of self-determination among students with autism spectrum disorder. The results also showed that there were statistically significant differences after applying the program when significance level was (0.001). The result came in favor of the post-test.

• 한국항해항만학회:학술대회논문집
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• 한국항해항만학회 2018년도 추계학술대회
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• pp.31-31
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• 2018

본 연구팀은 2017년부터 CBT (Computer Based Training)기반 연안여객선 비상대응 훈련 프로그램 개발을 진행하고 있으며, 이로인해 기존 여객선 교육 중 이론 파트를 프로그램으로 대체할 수 있다. CBT 프로그램으로 확보된 교육시간을 활용하여 기존의 체험형 훈련에서 탈피할 수 있으며, 표준화된 실습교육으로 다양한 교육기관에서 활용할 수 있도록 하고자 한다.

• 한국국방경영분석학회지
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• 제25권1호
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• pp.199-214
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• 1999

The Constructive Battle Simulation Model is very important to the recent military training for the substitution of the field training. However, real battlefield systems operate under real-time conditions, they are inherently distributed, concurrent and dynamic. In order to reflect these properties by the computer-based simulation systems which represent real world processes, we have been developing constructive simulation model for several years. Conventionally, scheduling and resource allocation activities which have timing constraints, we elaborated on these issues and developed the simulation system on commercially available hardware and operating system with lock-free resource allocation scheme and rate monotonic scheduling.