• Title/Summary/Keyword: Health-behavior

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LSTM based Supply Imbalance Detection and Identification in Loaded Three Phase Induction Motors

  • Majid, Hussain;Fayaz Ahmed, Memon;Umair, Saeed;Babar, Rustum;Kelash, Kanwar;Abdul Rafay, Khatri
    • International Journal of Computer Science & Network Security
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    • v.23 no.1
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    • pp.147-152
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    • 2023
  • Mostly in motor fault detection the instantaneous values 3 axis vibration and 3phase current in time domain are acquired and converted to frequency domain. Vibrations are more useful in diagnosing the mechanical faults and motor current has remained more useful in electrical fault diagnosis. With having some experience and knowledge on the behavior of acquired data the electrical and mechanical faults are diagnosed through signal processing techniques or combine machine learning and signal processing techniques. In this paper, a single-layer LSTM based condition monitoring system is proposed in which the instantaneous values of three phased motor current are firstly acquired in simulated motor in in health and supply imbalance conditions in each of three stator currents. The acquired three phase current in time domain is then used to train a LSTM network, which can identify the type of fault in electrical supply of motor and phase in which the fault has occurred. Experimental results shows that the proposed single layer LSTM algorithm can identify the electrical supply faults and phase of fault with an average accuracy of 88% based on the three phase stator current as raw data without any processing or feature extraction.

Physical and Psychological Factors Affecting Fall in Elderly Patients with Parkinson's disease (파킨슨병 노인의 낙상에 영향을 미치는 신체적, 심리적 요인)

  • Kim, Ji-Yoen;Byun, Mi-Kyong
    • Journal of Convergence for Information Technology
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    • v.12 no.3
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    • pp.55-65
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    • 2022
  • Elderly people with Parkinson's disease have higher rates of physical and mental risk factors for falls than non-Parkinson's disease elderly. The purpose of this study is to investigate this by using national data that includes the entire population of the elderly in Korea. As a secondary analysis study using data survey on the elderly by the Ministry of Health and Welfare in 2017, there were a total of 103 elderly people with Parkinson's disease, and a total of 96 subjects were analyzed excluding missing values. In the elderly with Parkinson's disease, the factor most influencing the fall was IADL, and IADL is related to motor control function. Decreased motor control limits physical movements essential for daily life, and even affects self-protective behavior in emergency situations, affecting falls. Based on the research results that IADL can affect falls, various exercise therapies for fall prevention interventions in the elderly with Parkinson's disease can be suggested.

Effects of Information Literacy, Risk Perception and Crisis Communication Related to COVID-19 on Preventive Behaviors of Nursing Students in Clinical Practice (임상실습을 경험한 간호대학생의 코로나바이러스감염증-19 (COVID-19) 관련 정보이해력, 위험인식 및 위기소통이 예방행위에 미치는 영향)

  • Jeong, Young-Ju;Park, Jin-Hee;Kim, Hee Sun
    • Journal of Convergence for Information Technology
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    • v.12 no.3
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    • pp.66-74
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    • 2022
  • This study identified the impact of information literacy, risk perception, crisis communication on preventive behaviors related to COVID-19 among nursing students. Data were collected from 187 nursing students from 25 June 2020 to 3 July 2020, and analyzed using the SPSS/WIN 26.0 program. As a result of regression analysis, the factors influencing prevention behaviors were crisis communication(β=0.30, p<.001), information literacy(β=0.29, p<.001), and risk perception(β=0.19, p=.004). The explanatory power of the model was 27%. This study suggests that the focus should be on improving the activating crisis communication process among individual, family and society, increasing information literacy and risk perception on crisis when developing program to improve COVID-19 preventive behaviors of nursing students experiencing clinical practice.

The Consumer Perceived Value in Taekwondo Performance Spectators: Scale Development and Validation (태권도 공연 관람자의 인지된 가치 척도 개발 및 적용)

  • Jeong, Seung-Hoon
    • 한국체육학회지인문사회과학편
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    • v.55 no.6
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    • pp.417-435
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    • 2016
  • The purpose of this study was to develop a valid, reliable instrument to measure perceived value for Taekwondo performance spectators. The perceived value scale for Taekwondo performance spectators was developed in eight phases. For the development spectators perceived value scale (1) literature review, (2) preliminary factors and items selected, (3) assessment of the items, (4) pilot test, (5) data sampling, (6) validity of development scale, (7) assess reliability of items and, (8) predictive validity of development items. Based on three processes, a new perceived value of Taekwondo performance spectators scale with six factors(cultural, social, hedonic, aesthetic, moral and utilitarian value) and 19 items were developed. The result of predictive validity of development items: first, cultural, social, aesthetics, moral of perceived value had significantly influence on spectators attitude. Second, social, hedonic, utilitarian of perceived value had significantly influence on spectators satisfaction. Third, cultural, social, aesthetics perceived value had significantly influence on future consumption behavior of spectators.

The relations among Sensitivity Intelligence, Self-managment and Self-reflection of the Athlete (운동선수의 자기관리와 자기성찰 및 감성지능의 관계)

  • Choi, Mi-Lan
    • 한국체육학회지인문사회과학편
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    • v.54 no.3
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    • pp.231-242
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    • 2015
  • The purpose of this study is to verify relationship between self-management and self-reflection for grasping athletes' emotional intelligence in deviation environment. The subjects of this study were selected 200 athletes who have a Nationwide Sport Meeting among athletes of being registered in the association as an athlete. The Descriptive Statistical Analysis Correlation Analysis and Regression Analysis As a result, Frist, training-management which is has direct effect on self-probe, personal relation/body-management which is on other-understand, behavior-management which is indirect effect on other-probe, body-managment which is on others-probe, mental power-management which is direct effect onself-understand. Second, mental power/body-management which is direct effect on self-sensitivity recognize, mental power/living-management which is direct effect on sensitivity application, mental power-management which is direct effect on others-sensitivity recognize, mental power/personal relation-management which is direct effect on sensitivity control.

Factors influencing Academic Stress among Nursing Students who experienced COVID-19 (코로나19를 경험한 간호대학생의 학업스트레스 영향요인)

  • Jung-Hye Lim;Jeong-Ja Nam;Mi-Jung Kim;Oe-Seon Lee;Bong-Hi Sim;Soon-Mi Lee
    • The Journal of the Convergence on Culture Technology
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    • v.9 no.4
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    • pp.445-455
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    • 2023
  • This study aimed to identify academic stress factors of nursing students who have experienced COVID-19. The subjects of this study were 172 nursing students from three universities in Gyeongsangnam-do. Data were collected at November 2022 and analyzed using descriptive statistics, t-test, ANOVA, Pearson's correlation, Hierarchical regression by SPSS/WIN 21.0. As a result of the study, the degree of academic stress 2.09 points and the factors affecting nursing students' academic stress were major satisfaction, satisfaction with alternative clinical practicum, emotion-focused coping, problem-focused coping, self-efficacy, perceived health status, and depression due to COVID-19, and the total explanatory power was 62.3%. Based on these research results, we need to prepare a systematic education plan to reduce the academic stress of nursing students in future disasters and infectious diseases by preparing measures to increase nursing students' major satisfaction and satisfaction with alternative clinical practicum.

A Qualitative Study of Food Consumer Behavior Using the Means-end Chain Method - Illustrating Research into Swede's Perception on Asian Food - (연상네트워크기법(Means-end Chain method)을 이용한 식품소비자행동 질적 연구 - 스웨덴인의 아시아 음식 인식을 중심으로 -)

  • Lee, Kyung-Ran;Mengoni, Mariangela;Mayazi, Adja;Pehrsson, Anders
    • Journal of the Korean Society of Food Culture
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    • v.24 no.6
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    • pp.641-648
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    • 2009
  • The principal objective of this study was to analyze Swede's perceptions of Asian food using a means-end chain method, which may contribute to our understanding of new markets for a food industry interested in globalizing Korean food. With the Means-end chain method, one can determine the cognitive structures built in consumer's minds, which are developed by connecting attributes of product, consequences, and values. The attributes of Asian food that are most positively perceived by Swedes are 'fresh vegetables', 'low-fat', 'light meat and seafood', 'exotic ingredients', 'not expensive' and 'unknown food'. The consequences of eating Asian food connected to these attributes are 'healthy', 'tasty', 'good way to save money' and 'curious'. Finally, Swedes expect to enjoy a value of 'achievement' at the end. Based on the result that 'unknown food' attribute is connected to 'achievement' value, Swedes are assumed to be attracted by the fact that Korean food is 'unknown food'. However, the effect of the 'unknown food' attribute will fade away with time; therefore, stressing Korean food's status as a 'healthy' food, which can be attributed to its use of 'fresh vegetable' and 'light meat and seafood' ingredients and 'low fat' cooking method may be effective as a long-term strategy for making Korean food attractive. The 'healthy' consequence is connected to Swedes' perception of the value 'achievement' and simultaneously to their perception of the value 'belonging and love/sense of belonging'.

Design Preference Evaluation of Product for children based on Q-Method - Focused on Tableware for Chinese Children - (Q방법론에 의한 유아용 제품 디자인 선호도 연구 -중국 유아용 식기를 중심으로-)

  • Ling, Tang;Byun, Jaehyung
    • Smart Media Journal
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    • v.11 no.7
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    • pp.39-51
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    • 2022
  • Tableware is among the important necessities of daily life, and children's tableware is especially valued by the society. Under such social background, a study centered at users of children's tableware was conducted from four aspects, including health & safety, sensory experience, behavior guide, and emotional cognition. Children's tableware products were evaluated using the Q method to understand users' cognition of children's tableware products. The interviewees' views about children's tableware design in China can be divided into four types,and put forward different psychological needs for these four types, In the interviews, some interviewees suggested that the ergonomic and regional cultural differences shall all be considered during children's tableware design. Therefore, this study evaluates the design preferences of Chinese children tableware and validates the results of the paper based on the results.

The Main Issues, Election Promises and Distribution of Votes in the 2021 German Federal Election and the Political Perspective after the Election (2021년 독일 연방의회 선거의 주요 이슈와 공약 및 지지표 분포와 향후 정치 전망)

  • Jung, Byungkee
    • Korean Journal of Legislative Studies
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    • v.27 no.3
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    • pp.35-68
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    • 2021
  • In the German federal election in 2021, the Social Democrats returned to power by a narrow margin and the Green Party emerged as the biggest winner. The two political parties took the lead by proposing policies that met the expectations of the people in the policies of climate and environment, pandemic response and health, and labor and social security. The Merkel effect did not play a significant role in the election, and it is highly likely that it will lead to government policy after the formation of a coalition. While the class cleavage in voting behavior has weakened, the generational cleavage has grown relatively large. Older people showed more support for the two major parties, while younger people showed higher support for the Green Party and the FDP. If the generational cleavage continues, it can be linked to the growth of the Green Party and the FDP, the continued weakening of the two major parties and the emergence of other new parties. In addition, the regional cleavage between the former East and West Germany still remain, which will affect the direction of the AfD and the Left and combine with other political cleavages. The 2021 German federal election can be said to be an election that heralds the realignment of the political party system.

A vibration-based approach for detecting arch dam damage using RBF neural networks and Jaya algorithms

  • Ali Zar;Zahoor Hussain;Muhammad Akbar;Bassam A. Tayeh;Zhibin Lin
    • Smart Structures and Systems
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    • v.32 no.5
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    • pp.319-338
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    • 2023
  • The study presents a new hybrid data-driven method by combining radial basis functions neural networks (RBF-NN) with the Jaya algorithm (JA) to provide effective structural health monitoring of arch dams. The novelty of this approach lies in that only one user-defined parameter is required and thus can increase its effectiveness and efficiency, as compared to other machine learning techniques that often require processing a large amount of training and testing model parameters and hyper-parameters, with high time-consuming. This approach seeks rapid damage detection in arch dams under dynamic conditions, to prevent potential disasters, by utilizing the RBF-NNN to seamlessly integrate the dynamic elastic modulus (DEM) and modal parameters (such as natural frequency and mode shape) as damage indicators. To determine the dynamic characteristics of the arch dam, the JA sequentially optimizes an objective function rooted in vibration-based data sets. Two case studies of hyperbolic concrete arch dams were carefully designed using finite element simulation to demonstrate the effectiveness of the RBF-NN model, in conjunction with the Jaya algorithm. The testing results demonstrated that the proposed methods could exhibit significant computational time-savings, while effectively detecting damage in arch dam structures with complex nonlinearities. Furthermore, despite training data contaminated with a high level of noise, the RBF-NN and JA fusion remained the robustness, with high accuracy.