• Safety and Health at Work
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• v.11 no.1
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• pp.80-87
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• 2020

Background: Residential and commercial cleaning is a part of our daily routine to maintain sanitation around the environment. Health care of professionals involved in such cleaning activities has become a major concern all over the world. The present study investigates the risk of musculoskeletal disorders in professional cleaners involved in floor mopping tasks. Methods: A cross-sectional study was performed on 132 mopping professionals using a modified Nordic questionnaire. The Pearson correlation test was implemented to study the association of perceived pain with work experience. The muscle strain and postural risk were evaluated by means of three-channel electromyography and real-time motion capture respectively of 15 professionals during floor mopping. Results: Regarding musculoskeletal injuries, risk was reported majorly in the right hand, lower back, left wrist, right shoulder, left biceps, and right wrist of the workers. Work experience had a low negative association with MSDs in the left wrist, right wrist, right elbow, lower back, and right lower arm (p < 0.01). Surface EMG showed occurrence of higher muscle activity in upper trapezius and biceps brachii (BB) muscles of the dominant hand and flexor carpi radialis and BB muscles of the nondominant hand positioned at the upper and lower portion of the mop rod, respectively. Conclusion: Ergonomic mediations should be executed to lessen the observed risk of musculoskeletal injuries in this professional group of workers.

• Journal of Korean Foot and Ankle Society
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• v.23 no.4
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• pp.216-219
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• 2019

In clinical practice, recurrent Achilles ruptures have been noted to occurr at the original ruptured site. However, reports of new developed fresh rupture of the Achilles tendon in other sites are is extremely rare. Our report is about one uncommon case of a traumatic calcaneal tuberosity avulsion fracture following augmented repair, which was performed using the Krackow locking loop technique. We performed open reduction and intra-osseous fixation using a suture anchor. This procedure was done through the primary longitudinal incision for the calcaneal avulsion fracture fragment. After 6 months of follow-up, our patient has achieved a complete functional recovery and he can normally perform daily and work-related tasks without pain.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2017.05a
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• pp.441-443
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• 2017

Modern people who have been busy in their busy daily life tend to reduce outside activities and activities in their homes are increasing. As a result, the frequency of use of electronic products such as computers is increasing and products are being developed. However, the remaining inconvenience of using a computer is that you have to sit in front of a computer when you are tired and want to watch movies, browse the internet and do simple tasks. This is why the penetration rate of smartphones is increasing. In order to solve the inconvenience of such a computer, we have designed a program that enables Wake on LAN function, which is a function for booting a remote shutdown computer, and mouse control and keyboard control by communicating with a smartphone application and a computer.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2017.05a
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• pp.167-168
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• 2017

In this paper, we discuss the importance of what to analyze and what to predict using Big Data. The issue of how and where to apply a large amount of data that is accumulated in my daily life and which I am not aware of is a very important factor. There are many kinds of tasks that specify what to predict and how to use these data. Finding the most appropriate one is the way to increase the prediction probability. In addition, the data that are analyzed and predicted should be useful in real life to make meaningful data.

• PNF and Movement
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• v.7 no.1
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• pp.33-46
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• 2009

Purpose : N.A.P.(Neuromuscular Skeletal Plasticity) an integrative neuro-orthopedic concept to facilitate motor strategies in daily life. The primary thesis is, that treatment of body functions and structural impairments should be integrated within goal-oriented activities. The purpose of this article is to demonstrate that the functional activity itself, determines the structure. Material and Methods : A case report of a dentist with brachial plexus lesion after a motor vehicle accident is presented. The necessity for training body functions within relevant tasks is undermined by references which emphasize the importance of training realistic activities to enhance long-term changes in neural representation. Results : The treatment methods presented in this case show significant effects for the patient's ability to participate in his profession within less than a year's time after his motor vehicle accident. Conclusions : Current evidence supports the treatment methods of this concept. The inability to flex his elbow and supinate his forearm placed a considerable doubt to his ability to ever be able to participate in his profession again. Structural reorganization is possible and depends on functional demands, which need to be trained task-specifically. Single case reports may serve as the basis for further randomized controlled studies to support the efficacy of the treatment methods within the N.A.P. concept.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.10
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• pp.77-85
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• 2021

This study aims to investigate the status quo and identify the challenges and benefits of the digital transformation in the context of small and medium-sized enterprises (SMEs) in Vietnam. The six participating SMEs were purposely contacted, and they were either nominated for, or received the Vietnam Digital Awards in 2018, 2019 and 2020, which were held by the Vietnam Digital Communication Association (http://en.vdca.org.vn/). A qualitative research method is adopted, using a semi-structured interview method and a theoretical triangulation of legitimacy, stakeholder and stewardship theories to facilitate the investigation. This research tries to identify the current challenges and benefits for digital transformation of SMEs in Vietnam, based on perception and experience from business leaders and managers from six SMEs in Vietnam. The findings of this study reveal that besides the recent challenges for digital transformation, participants also experienced and shared their perspectives regarding the benefits received from the digital transformation journey of their organization, which varied from (i) improve operational as well as business functions; (ii) liberate staffs and managers from daily work and allows them to focus on decision-making tasks; (iii) enable solutions to deal with consequences from the COVID-19 pandemic; (iv) enhance value creation process; and (v) help firms to align with the global business standards.

• Journal of the Korean Society of Manufacturing Process Engineers
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• v.20 no.12
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• pp.85-91
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• 2021

In our daily life, artificial intelligence performs simple and complicated tasks like us, including operating mobile phones and working at homes and workplaces. Artificial intelligence is used in industrial technology for diagnosing various types of equipment using the machine learning technology. This study presents a fault mode effect analysis (FMEA) of start motors using machine learning and big data. Through multiple data collection, we observed that the primary failure of the start motor was caused by the melting of the magnetic switch inside the start motor causing it to fail. Long-short-term memory (LSTM) was used to diagnose the condition of the magnetic locations, and synthetic data were generated using the synthetic minority oversampling technique (SMOTE). This technique has the advantage of increasing the data accuracy. LSTM can also predict a start motor failure.

• Korean Journal of Childcare and Education
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• v.17 no.2
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• pp.1-27
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• 2021

Objective: Covid-19 is changing many aspects of child care programs. The objective of this study was to explore how the pandemic and mitigation efforts affected the experiences and practices at child care centers in the summer of 2020. Methods: Focus group interviews and mobile surveys were conducted with principals and teachers of child care centers in August and September 2020. Descriptive statistics including frequency distributions, means and standard deviations and mean differences were used to analyze the survey data with SPSS 22.0. Results: It was found that each sector of child care settings experienced different difficulties and had various needs. Young children's lack of energy, child care teachers' workload and stress, and principles' efforts to interrupt transmission of the infectious disease based on insufficient government guideline and supports were revealed as the main experiences. Conclusion/Implications: The Covid-19 pandemic has had a tandem of influences on daily life at child care centers. As policy makers consider additional guidelines or supports measures to prevent the infection and spread of Covid-19 at child care centers, long-term as well as short-term plans at various levels should be considered to meet the unique needs of child care programs.

• International Journal of Knowledge Content Development & Technology
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• v.9 no.3
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• pp.23-41
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• 2019

This study combines the concept of degree centrality in complex network with the Term Frequency $^*$ Proportional Document Frequency ($TF^*PDF$) algorithm; the combined method, called PMCN (PDF-Modified similarity and Complex Network), constructs relationship networks among sentences for writing news summaries. The PMCN method is a multi-document summarization extension of the ideas of Bun and Ishizuka (2002), who first published the $TF^*PDF$ algorithm for detecting hot topics. In their $TF^*PDF$ algorithm, Bun and Ishizuka defined the publisher of a news item as its channel. If the PDF weight of a term is higher than the weights of other terms, then the term is hotter than the other terms. However, this study attempts to develop summaries for news items. Because the $TF^*PDF$ algorithm summarizes daily news, PMCN replaces the concept of "channel" with "the date of the news event", and uses the resulting chronicle ordering for a multi-document summarization algorithm, of which the F-measure scores were 0.042 and 0.051 higher than LexRank for the famous d30001t and d30003t tasks, respectively.

• The Journal of Korea Robotics Society
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• v.16 no.1
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• pp.56-63
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• 2021

As the use of robots in service area increases, research has been conducted to replace human tasks in daily life with robots. Among them, this study focuses on the tidy-up task on a desk using a robot arm. The order in which tidy-up motions are carried out has a great impact on the success rate of the task. Therefore, in this study, a neural network-based method for determining the priority of the tidy-up motions from the input image is proposed. Reinforcement learning, which shows good performance in the sequential decision-making process, is used to train such a task planner. The training process is conducted in a virtual tidy-up environment that is configured the same as the actual tidy-up environment. To transfer the learning results in the virtual environment to the actual environment, the input image is preprocessed into a segmented image. In addition, the use of a neural network that excludes unnecessary tidy-up motions from the priority during the tidy-up operation increases the success rate of the task planner. Experiments were conducted in the real world to verify the proposed task planning method.