• International journal of advanced smart convergence
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• 제12권4호
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• pp.8-19
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• 2023

This paper presents advancement in multi- unmanned aerial vehicle (UAV) cooperative area surveillance, focusing on optimizing UAV route planning through the application of genetic algorithms. Addressing the complexities of comprehensive coverage, two real-time dynamic path planning methods are introduced, leveraging genetic algorithms to enhance surveillance efficiency while accounting for flight constraints. These methodologies adapt multi-UAV routes by encoding turning angles and employing coverage-driven fitness functions, facilitating real-time monitoring optimization. The paper introduces a novel path planning model for scenarios where UAVs navigate collaboratively without predetermined destinations during regional surveillance. Empirical evaluations confirm the effectiveness of the proposed methods, showcasing improved coverage and heightened efficiency in multi-UAV path planning. Furthermore, we introduce innovative optimization strategies, (Foresightedness and Multi-step) offering distinct trade-offs between solution quality and computational time. This research contributes innovative solutions to the intricate challenges of cooperative area surveillance, showcasing the transformative potential of genetic algorithms in multi-UAV technology. By enabling smarter route planning, these methods underscore the feasibility of more efficient, adaptable, and intelligent cooperative surveillance missions.

• 4차산업연구
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• 제4권1호
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• pp.1-9
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• 2024

Purpose: Education is the part of a fundamental human right across the world. In recent years, the trend of virtual education has increased tremendously. The paper aims to find the impact of adoption, accessibility, interactions, knowledge, and satisfaction on the success of transformation towards virtual education. Research design, data and methodology: Primary data has been gathered through the use of responses from students taking admission in virtual higher education to standardized questionnaires. Of the 250, only 122 were considered complete and have been used in further studies. Convinced random sampling method has been used. The results were evaluated using the Likert Five-Point Scale. For applying these statistical tools software SmartPLS and SPSS 19 have been used. The fitness of the model has been re-checked through an Artificial Neural Network (ANN). Result: Results derived that adoption, accessibility, and interactions have a significant impact on knowledge, knowledge influences satisfaction level and satisfaction have a meaningful impact on the success of transformation towards virtual education. Conclusion: It can be concluded that virtual education has the potential to change the future of the education system and its potential in India. The highest importance is due to satisfaction (100%), adoption (98.7%), knowledge (91.4%), accessibility (62%), and interaction (29.2%).

• International journal of advanced smart convergence
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• 제13권1호
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• pp.185-193
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• 2024

This study aimed to investigate the immediate physiological responses, including heart rate, blood pressure, and rate pressure product (RPP), following squat exercises performed at three water depths (ground, knee depth, waist depth) and two speed conditions (60bpm speed, Max speed). The participants consisted of 10 men in their 20s with over 6 months of resistance exercise experience. For the 60bpm speed squats, participants performed 30 repetitions in 1 minute at a rate of 2 seconds per repetition, while for Max speed squats, they performed at Max speed without a set limit on the number of repetitions for 1 minute. All experiments were conducted with a random assignment. The study results showed that immediately after the aquatic squat exercise, the average heart rate, blood pressure, and cardiac load were higher in the order of knee depth, ground level, and waist depth at both 60bpm speed and Max Speed. At 60bpm speed, the heart rate was higher in the order of ground level, knee depth, and waist depth. Overall, exercise in an aquatic environment was considered to impose relatively lower physical burden compared to land-based exercise. Therefore, it is suggested that depending on individual fitness levels and exercise goals, appropriately combining aquatic exercise, which imposes lower immediate physiological burden, and land-based exercise may lead to safer and more effective exercise methods.

• 한국컴퓨터정보학회논문지
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• 제18권7호
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• pp.183-190
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• 2013

이 연구는 스마트교육 수용의도에 영향을 미치는 요인들의 관계를 분석하는데 목적이 있다. 기존 정보기술수용모형(technology acceptance model) 관련 선행연구를 토대로, 스마트교육 수용의도에 영향을 미치는 잠재모형을 개발하였다. 잠재모형의 예비타당성 검증절차를 거친 후, 이를 통해 수정된 모형을 검증하기 위해 경기도 A 연구소의 스마트교육 체험학습프로그램을 이수한 초 중 고등학생 132명을 대상으로 설문조사를 실시하고 그 자료를 수집 및 분석하였다. 연구결과, 다음과 같은 가설들이 채택되었다. 상호작용성은 지각된 유용성에 영향을 미친다(가설I). 상호작용성은 지각된 사용용이성에 영향을 미친다(가설II). 상호작용성은 지각된 수용의도에 영향을 미친다(가설III). 사회적 영향은 지각된 유용성에 영향을 미친다(가설IV). 사회적 영향과 상호작용성은 서로 영향을 미친다(가설V). 지각된 유용성은 수용의도에 영향을 미친다(가설VI). 지각된 사용용이성은 수용의도에 영향을 미친다(가설VII). 또한 연구모형의 적합도검증 결과, ${\chi}^2$값은 6.600, 유의확률은 .086으로서 유의수준 .05에서 모형과 자료가 일치한다는 영가설이 채택되었으며, CFI와 NNFI(TLI) 값은 각각 .99, .99로 높은 적합도 수준을 보였다. 다만, RMSEA 값은 .09로서 다소 높은 값을 보이지만, 수정된 연구모형의 적합성을 해하는 수준은 아닌 것으로 판단되었다.

• 한국콘텐츠학회논문지
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• 제15권7호
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• pp.128-137
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• 2015

정보통신(IT) 분야는 변화가 빠르게 진행되었다. 많은 혁신제품이 출시되고, 일부는 안정적으로 시장을 형성하여 확산되지만, 일부는 사라져 버린다. 본 연구에서는 스마트기기 간 시간의 경과에 따른 경쟁요인을 도출하였다. 혁신확산이론(IDT)의 혁신채택단계를 산업수명주기이론(ILC)의 산업수명주기에 적용하여 도입기, 성장기, 성숙기의 3단계로 구분하여 시간의 흐름에 따른 시장특성 모형을 정의하였다. 노트북 컴퓨터와 태블릿 사례의 경쟁관계를 분석하여 제안된 이론적 모형의 적합도를 확인하였다. 시간의 흐름에 따라 5가지의 경쟁요인은 다르게 작용하며 도입기에는 기능성과 유희성이 중요한 경쟁요인이 되고, 성장기에는 기능성과 유희성 외에도 적합성이 추가적으로 작용함을 알 수 있었다. 마지막의 성숙기에는 적합성과 복잡성, 그리고 비용수준이 중요한 경쟁요인이었다.

• 한국지능시스템학회논문지
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• 제24권3호
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• pp.279-284
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• 2014

본 논문에서는 최적화 기법과 퍼지 PID제어기를 이용한 자기부상시스템의 부상제어기를 제안한다. 흡인식 자기부상시스템은 일반적으로 비선형 특성을 포함하는 불안정한 시스템이기 때문에 일반적인 선형 제어기를 적용할 경우 우수한 성능을 얻기에는 어려운 점이 있다. 본 논문에서 제안된 제어기는 고정파라미터를 갖는 퍼지 PID제어기를 이용하였으며, 퍼지 PID 제어기 파라미터들은 유전자 알고리즘을 이용하여 최적화를 수행하였으며 유전알고리즘의 목적함수로는 일반적으로 사용되는 성능지수 함수를 사용하였다. 제안된 퍼지 PID 제어기를 적용한 자기부상시스템의 성능을 평가하기 위하여 Matlab을 이용하여 시뮬레이션을 수행하였으며, 고전적 PID제어기와 성능을 비교 분석하였다. 제안된 제어기를 적용한 자기부상시스템의 성능이 고전 PID제어기에 비하여 더 우수한 성능을 보임을 시뮬레이션을 통하여 검증하였다.

• 대한간호학회지
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• 제50권4호
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• pp.554-570
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• 2020

Purpose: This study aimed to develop and test a structural equation model of health-related quality of life among older women following bilateral total knee replacement based on a literature review and Wilson and Cleary's model of health-related quality of life. Methods: One hundred ninety three women who were diagnosed with osteoarthritis, were older than 65 years, and were between 13 weeks and 12 months of having a bilateral total knee replacement were recruited from an outpatient clinic. Data were collected from July 2017 to April 2018 using a structured questionnaire and medical records. Data were analyzed using SPSS/WIN 22.0, AMOS 22.0, and Smart PLS 3.2.4. Results: The fitness of the hypothetical model was good, with coefficients of determination (R²) ranging between .28 and .75 and predictive relevance (Q²) between .26 and .73. The standardized root mean square residual of the model fit indices for the hypothetical model was .04; which explained 64.2% of physical and 62.5% of mental health-related quality of life. Self-efficacy, symptom status, functional status, and general health perceptions had a significant direct effect on physical health-related quality of life, while social support, symptom status, and general health perceptions had a significant direct effect on participants' mental-health-related quality of life. Conclusion: To improve the physical and mental quality of life of older women who receive bilateral knee replacement, nursing-based intervention strategies that reduce symptoms, improve functional status, and increase health perceptions, self-efficacy, and social support are needed. The most important factor is the symptom status.

• Smart Structures and Systems
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• 제17권6호
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• pp.957-980
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• 2016

Structural damage detection (SDD) is a challenging task in the field of structural health monitoring (SHM). As an exploring attempt to the SDD problem, a hybrid self-adaptive Firefly-Nelder-Mead (SA-FNM) algorithm is proposed for the SDD problem in this study. First of all, the basic principle of firefly algorithm (FA) is introduced. The Nelder-Mead (NM) algorithm is incorporated into FA for improving the local searching ability. A new strategy for exchanging the information in the firefly group is introduced into the SA-FNM for reducing the computation cost. A random walk strategy for the best firefly and a self-adaptive control strategy of three key parameters, such as light absorption, randomization parameter and critical distance, are proposed for preferably balancing the exploitation and exploration ability of the SA-FNM. The computing performance of the SA-FNM is evaluated and compared with the basic FA by three benchmark functions. Secondly, the SDD problem is mathematically converted into a constrained optimization problem, which is then hopefully solved by the SA-FNM algorithm. A multi-step method is proposed for finding the minimum fitness with a big probability. In order to assess the accuracy and the feasibility of the proposed method, a two-storey rigid frame structure without considering the finite element model (FEM) error and a steel beam with considering the model error are taken examples for numerical simulations. Finally, a series of experimental studies on damage detection of a steel beam with four damage patterns are performed in laboratory. The illustrated results show that the proposed method can accurately identify the structural damage. Some valuable conclusions are made and related issues are discussed as well.

• 한국전문물리치료학회지
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• 제29권2호
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• pp.140-146
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• 2022

Background: The superimposed technique (ST) involves the application of electrical muscle stimulation (EMS) during voluntary muscle action. The physiological effects attributed to each stimulus may be accumulated by the ST. Although various EMS devices for the quadriceps muscle are being marketed to the general public, there is still a lack of research on whether ST training can provide significant advantages for improving quadriceps muscle strength or thickness compared with EMS alone. Objective: To compare the effects of eight weeks of ST and EMS on the thicknesses of the rectus femoris (RF) and vastus intermedius (VI) muscles and knee extension strength. Methods: Thirty healthy subjects were recruited and randomly assigned to either the ST or EMS groups. The participants underwent ST or EMS training for eight weeks. In all participants, the thicknesses of the RF and VI muscles were measured before and after the 8-week intervention by ultrasonography, and quadriceps muscle strength was measured using the Smart KEMA tension sensor (KOREATECH Co., Ltd.). Results: There were significant differences in the pre- and post-intervention thicknesses of the RF and VI muscles as well as the quadriceps muscle strength in both groups (p < 0.05). RF thickness was significantly greater in the ST group (F = 4.294, p = 0.048), but there was no significant difference in VI thickness (F = 0.234, p = 0.632) or knee extension strength (F = 0.775, p = 0.386). Conclusion: EMS can be used to improve quadriceps muscle strength and RF and VI muscle thickness, and ST can be used to improve RF thickness in the context of athletic training and fitness.

• 대한인간공학회지
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• 제34권5호
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• pp.541-548
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• 2015

Objective: We introduce a hand gesture segmentation method using a wrist-worn wearable device which can recognize simple gestures of clenching and unclenching ones' fist. Background: There are many types of smart watches and fitness bands in the markets. And most of them already adopt a gesture interaction to provide ease of use. However, there are many cases in which the malfunction is difficult to distinguish between the user's gesture commands and user's daily life motion. It is needed to develop a simple and clear gesture segmentation method to improve the gesture interaction performance. Method: At first, we defined the gestures of making a fist (start of gesture command) and opening one's fist (end of gesture command) as segmentation gestures to distinguish a gesture. The gestures of clenching and unclenching one's fist are simple and intuitive. And we also designed a single gesture consisting of a set of making a fist, a command gesture, and opening one's fist in order. To detect segmentation gestures at the bottom of the wrist, we used a wrist strap on which an array of infrared sensors (emitters and receivers) were mounted. When a user takes gestures of making a fist and opening one's a fist, this changes the shape of the bottom of the wrist, and simultaneously changes the reflected amount of the infrared light detected by the receiver sensor. Results: An experiment was conducted in order to evaluate gesture segmentation performance. 12 participants took part in the experiment: 10 males, and 2 females with an average age of 38. The recognition rates of the segmentation gestures, clenching and unclenching one's fist, are 99.58% and 100%, respectively. Conclusion: Through the experiment, we have evaluated gesture segmentation performance and its usability. The experimental results show a potential for our suggested segmentation method in the future. Application: The results of this study can be used to develop guidelines to prevent injury in auto workers at mission assembly plants.