• 전자공학회논문지
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• 제53권8호
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• pp.136-144
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• 2016

일반적으로 임베디드 소프트웨어 교육을 위해 다양한 교구와 학습 방법이 개발 및 활용이 되고 있다. 본 논문에서는 임베디드 소프트웨어 공학교육에서 요구되고 있는 창의적 문제해결 방법을 학습하기 위하여 스마트 로봇을 활용하고자 한다. 스마트 로봇을 사용한 창의적 공학교육으로 그 NCS 직무교육 효과를 분석하고 임베디드 소프트웨어교육 향상을 위하여 RSPM(Robot Based Software Programming Method) 공학교육 방법에 대해 제시한다. 임베디드 소프트웨어 공학교육에서 좀 더 창의적이고 소프트웨어 코딩 능력향상을 위해 스마트 로봇인 EV3 시스템을 활용하였다. 본 논문에서는 임베디드 소프트웨어 공학교육에 미치는 정도, 흥미, 프로그램 능력 향상과 영향에 대하여 설문 및 분석을 통하여 창의적인 RSPM 공학교육과정을 통하여 EV3 시스템을 교구로 활용하여 성공적인 임베디드 소프트웨어 코딩 능력 가능성에 대해 제시하고자 한다. 특히 RSPM 공학교육은 스마트 로봇 NCS 직무로써 미래 유망한 임베디드 소프트웨어분야의 직업인으로 성장할 수 있도록 경쟁력을 갖춘 기초 스마트로봇 직무학습 중심으로 구성하였다.

• 재활복지공학회논문지
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• 제10권3호
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• pp.221-228
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• 2016

본 논문에서는 EEG 신호 기반 기기 또는 소프트웨어를 사용하기 위해 사용자가 본인의 EEG 신호 정확도를 확인하고, 훈련을 통하여 자신의 EEG 신호 정확도를 향상시킬 수 있는 시뮬레이션 소프트웨어를 제안한다. 실험 데이터로는 풍경사진을 보며 편안한 상태에서 발생되는 신호와 수학문제를 풀며 집중 시에 발생되는 신호를 사용한다. 입력되는 EEG 신호는 독립 성분 분석(Independent Component Analysis, ICA)을 적용하여 잡음을 최소화하고 대역 통과 필터(Band Pass Filter)를 통하여 베타파(${\beta}$, 14-30Hz)만을 취득한다. 취득한 베타파 대역 데이터에서 제곱평균제곱근(Root Mean Square, RMS) 알고리즘을 통하여 특징 정보를 추출하고 지지 벡터 머신(Support Vector Machine, SVM)에 적용하여 분류한다. 분류된 결과는 사용자가 바로 확인할 수 있으며 훈련 전 피험자의 평균 정확도는 79.21%이었던 반면, 연속적인 훈련으로 최고 91.67%의 정확도를 보였다. 이처럼 본 논문에서 개발한 시뮬레이션 소프트웨어는 사용자가 직접 자신의 EEG 신호 정확도를 향상키기는 훈련을 통하여 정확도 향상이 가능하고, EEG 신호 기반으로 이루어진 BCI 시스템의 효율적인 사용을 기대할 수 있다.

• 인터넷정보학회논문지
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• 제18권4호
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• pp.19-25
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• 2017

In this paper, we designed and implemented IoT sensors based badminton motion analysis and training system that can be readily used by badminton players with PC. Unlike the traditional badminton training system which uses signals of the flags by coach, the proposed electronic training system used IoT sensors to automatically detect and analysis the motions for badminton players. The proposed badminton motion analysis and training system has the advantage with low power, because it communicates with the program through BLE communication. The badminton motion analysis system automatically measures the training time according to the player's movement, so it is possible to collect objective result data with less errors than the conventional flag signal based method by coach. In this paper, training data of 5 athletes were collected and it provides the feedback function through the visualization of each section of the training results by the players which can enable the effective training. For the weakness section of each player, the coach and the player can selectively and repeatedly perform the training function with the proposed training system. Based on this, it is possible to perform the repeated training on weakness sections and they can improve the response speed for these sections. Continuous research is expected to be able to compare more various players' agility and physical fitness.

• Applied Science and Convergence Technology
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• 제26권6호
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• pp.195-200
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• 2017

A mobile lab kart for plasma training is developed with a high vacuum pumping system, vacuum gauges and a glass discharge tube powered by a high voltage transformer connected to a household 60 Hz line. A numerical model is developed by using a commercial multiphysics software package, CFD-ACE+ to analyze the experimental data. Simulations for argon and nitrogen were carried out to provide fundamental discharge characteristics. Variations of the kart configuration were demonstrated: a glass tube with three electric probes, optical emission spectrometer attachment and infra red thermal imaging system to give more detailed analysis of the discharge characteristics.

• The Journal of Asian Finance, Economics and Business
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• 제7권12호
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• pp.995-1004
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• 2020

This study aims to analyze the effect of transformational leadership (TL), procedural justice (PJ), and training (T) on employee performance (EP) mediated by self-efficacy (SE). The object of this research is Rumah Sakit Umum Daerah (RSUD) M.Th. Djaman, a hospital in Sanggau Regency, while the subjects are the institution's staff. Data collection search uses purposive sampling with a total of 120 samples. Data are obtained through questionnaires distributed directly to respondents using the Google Form application. Data analysis techniques used in this study include standard error of mean (SEM) with AMOS software version 24.00. Methods use to test validity and reliability of data include Confirmatory Factor Analysis (CFA), Construct Reliability (CR) and VE. The results of the analysis show that only training has a significant effect on self-efficacy, and self-efficacy has a significant effect on employee performance. Also, self-efficacy is proven to mediate the role of training on employee performance; the other hypotheses are not significant. Training is the most prominent positive factor affecting self-efficacy and self-efficacy has a significant effect on employee performance at RSUD M.Th. Djaman. The results of this study can be used as a reference by management in determining what policy priorities should take precedence.

• 대한물리치료과학회지
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• 제27권2호
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• pp.36-47
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• 2020

Background: This study purposed to provide meaningful information for the accumulation of knowledge on coordinative locomotor training in patients with stroke. Design: Meta-analysis. Methods: This study collected articles which the coordinative locomotor training in patients with stroke. For systematic meta-analysis, 6 articles were finally selected after searching based on the PICOSD criteria. This meta-analysis was conducted according to PRISMA guidelines. Randomized controlled trials were included and the risk of bias was evaluated for each study. Pooled standardized mean differences were calculated using a random effects model. To extract the effect size of each study, the R 3.5.3 software was used. Results: The meta-analysis showed that a total effects size was 1.23 indicating that coordinative locomotor training for patients with stroke had a maximum effect size. Conclusion: A meta-analysis is warranted for further research to determine the effects of coordinative locomotor training in patients with stroke on muscle strength, walking and range of motion.

• PNF and Movement
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• 제19권1호
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• pp.9-17
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• 2021

Purpose: This study aims to verify the effectiveness of sit-to-stand training with visual feedback to improve balance ability and knee extensor strength of total knee replacement patients. Methods: In this study, 15 patients with total knee replacement participated in this study. Subjects were assigned to two groups: a feedback group (experimental group)(n = 8) and a control group (n = 7). They all received 30 min of continuous passive motion (CPM) and sit-to-stand training for 15 min five times per week for two weeks. Knee extensor and balance ability were measured. Knee extensor was measured by Biodex system 3; balance ability was measured by Balancia software. Results: After the intervention, there was a significant difference in the strengthening of the knee extensor muscles in the feedback group, area 95%, weight distribution of the affected side, and the sit-to-stand test repeated five times (p < 0.05). Conclusion: The results of this study showed that sit-to-stand training with visual feedback was more effective in increasing knee extensor muscle strength and balance ability than the sit-to-stand training without visual feedback. Therefore, in order to improve the knee extensor muscle and the balance of total knee replacement patients, it is necessary to consider providing visual feedback during sit-to-stand training.

• 국제학술발표논문집
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• The 9th International Conference on Construction Engineering and Project Management
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• pp.1187-1193
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• 2022

A construction site is a highly complex and constantly changing environment, where hazardous areas are difficult to detect if workers lack sufficient knowledge and awareness. Thus, frequent worker safety training is required. Numerous studies on using virtual reality (VR) for safety training were published. While they demonstrate the potential for improving the skills necessary to avoid accidents in the construction industry, they remain difficult to apply at actual construction sites. VR requires specialized hardware and software, limiting workers' access and restricting workers' participation in training sessions. As a result, this paper proposes multiple platforms for immersive virtual reality safety training (VRMP) based on Industry Foundation Classes (IFC) and web technologies such as immersive web (WebXR). The VRMP is compatible with mobile and desktop devices currently by workers and demonstrates scenario models familiar to workers. Also, it reduces development time by utilizing Building Information Models (BIM). Additionally, The VRMP collects data from workers in a virtual environment to assess each worker's safety level, assisting workers in effectively and comfortably gaining a better understanding and raising their awareness. This paper develops a case study based on the VRPM in order to assess its effectiveness.

• The Journal of Korean Physical Therapy
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• 제35권6호
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• pp.213-219
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• 2023

Purpose: In this study, based on the error augmentation, we performed walking training with increased rhythmic auditory stimulation speed on the affected side (IRAS) and walking training with decreased rhythmic auditory stimulation speed on the unaffected side (DRAS). The purpose of this study was to verify whether motor learning was effective in improving balance ability. Methods: Twenty-eight subjects with chronic stroke were recruited from a rehabilitation center. The subjects were divided into three groups: an IRAS group (10 subjects), a DRAS group (9 subjects), and control group (9 subjects). They received 30minutes of neuro-developmental therapy and walking training for 30minutes, five times a week for three weeks. Static and functional balance ability were measured before and after the training period. Static balance was measured by balancia software. Functional balance was measured by the timed up and go test (TUG) and the berg balance scale (BBS). Results: After the training periods, the IRAS group showed a significant improvement in TUG, BBS, area 95% COP, and weight distribution on the affected side when compared to both the DRAS group and control group (p<0.05). Conclusion: Based on the results of this study, it is possible to consider error augmentation methods of motor learning if rhythmic auditory stimulation is applied to stroke patients in clinical practice. If the affected side is shorter than the unaffected side, the affected side should be adjusted to the increased rhythmic auditory stimulation speed, which is considered to be an effective intervention to improve balance ability.

• ETRI Journal
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• 제33권5호
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• pp.712-719
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• 2011

In this paper, we study the problem of domain adaptation for structural support vector machines (SVMs). We consider a number of domain adaptation approaches for structural SVMs and evaluate them on named entity recognition, part-of-speech tagging, and sentiment classification problems. Finally, we show that a prior model for structural SVMs outperforms other domain adaptation approaches in most cases. Moreover, the training time for this prior model is reduced compared to other domain adaptation methods with improvements in performance.