• The Journal of Korean Medicine
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• v.40 no.4
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• pp.84-90
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• 2019

Objectives: Chronic fatigue syndrome (CFS) is a debilitating illness impairing seriously quality of life, while CFS would be an optimized target disorder of Korean medicine. This study aims to present the recent information especially in aspect of medical policy and new diagnosis criteria for CFS. Methods: The literature survey was conducted using the terms of "chronic fatigue syndrome", "myalgic encephalomyelitis" and "fibromyalgia" in PubMed database and Google database in its entirety from January 2011 to February 2019. The in-depth review was made focusing on the changes in policy and medical perspective for CFS. Results: Recently large medical attentions and researches for CFS have been existed worldwide. By supporting of USA government, IOM made a report which leaded to a turning point in clinical practices and research in 2015. This report recommended a new name of CFS to systemic exertion intolerance disease (SEID), and new diagnostic criteria focusing on post-exertional malaise, unrefreshing sleep, cognitive impairment and orthostatic intolerance. The medical perspective also was changed into "a serious, chronic, complex, systemic disease" from a psychological-like disorder, and then UAS and EU governments sharply increased the research grants. Conclusions: This study provided practitioners in Korean medicine (KM) a core information about the recent changes in CFS-related perspectives. This review would be helpful for KM-derived researches or therapeutics development for CFS.

• Proceedings of the Korean Institute of Interior Design Conference
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• 2007.11a
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• pp.149-154
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• 2007

The city hotel of today lodges and, from eating and drinking putting first cultural exchange, information transmission and sports and the leisure back to be various the open community of the city which equips a composition facility as the market fixation it is being turning out. Like this regional and culture flow scope of the user fall in love, width widely try to be diffused the data about the internal organs re-analysis our country hotel plan the place where it is the actual condition where the system and diverse royal tomb city hotel plan is coming to be demanded regarding very is the actual condition which is insufficient. The research which it sees hereupon from domestic is erected in existing and the city hotel which is coming to be operated re- internal organs in the object it investigate, analyze re- internal organs and new city hotel plan hour to present a plan fundamental data and the guide regarding the internal organs re-quality of the crew-serve space interior construction it could be applied there is an objective of the research by the box sleep.

• Journal of Oriental Neuropsychiatry
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• v.29 no.4
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• pp.305-314
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• 2018

Objectives: The objective of this study was to report the clinical effectiveness of the complex Korean medicine therapy and M&L (Mindfulness & Loving presence) psychotherapy on the patient with panic disorder. Methods: The subject for this study was the patient diagnosed with panic disorder who complained about intermittent panic attack and accompanying insomnia. During the treatment period, the patient received complex Korean therapy and M&L psychotherapy. The clinical effects were evaluated through Beck Depression Inventory (BDI), Hamilton Depression Rating Scale (HDRS), State-Trait Anxiety Inventory (STAI), Panic Disorder Severity Scale (PDSS), and Pittsburgh Sleep Quality Index (PSQI). Results: After the complex Korean medicine therapy and M&L psychotherapy, the overall symptoms of depression, anxiety, panic disorder and insomnia of the patient were lessened in a relatively short period. No specificities or adverse effects were reported during the treatment period. Conclusions: This study established that the complex Korean medicine therapy and M&L psychotherapy was effective in treating patients with panic disorder.

• Korean Journal of Occupational Health Nursing
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• v.33 no.2
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• pp.47-54
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• 2024

Purpose: This study aims to identify the level of subjective noise perception among School Meal Facility Workers and analyze the relationship between subjective noise perception and insomnia, as well as the factors affecting insomnia. Methods: School meal facility workers were surveyed from November 1 to December 31, 2021, and 717 people were selected as participants for the study. Using SPSS/WIN 25.0, t-test, x² test, and multiple logistic regression analysis were conducted. The Korean Insomnia Severity Index (ISI-K) was used to evaluate insomnia. Results: The variables that showed significant differences in insomnia in general characteristics, health-related characteristics, subjective health perception, and subjective noise perception of the study participants were mental disorders such as subjective health perception, work stress, depression, etc., gastrointestinal disorders, and subjective noise perception, among which subjective health perception, mental disorders such as depression, and subjective noise perception were analyzed as factors influencing insomnia. Conclusion: To improve the quality of insomnia and sleep among school meal facility workers, there is a need to improve healthcare, emotional management, and noisy work environments.

• Journal of environmental and Sanitary engineering
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• v.22 no.2
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• pp.35-40
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• 2007

It disposes positively in the air pollution damage which is serious, in order help period the place where it improves the quality of existence and life of the local residents. It removed the offensive odor regulation material and the technique it will be able to prevent to sleep it researched it did. After scattering the GNC solution which develops the offensive odor regulation material which occurs from the food and trash treatment plant which is located to the S from the H, company after scattering the GNC solution which it develops collection it did a control criminal record control kind air and it analyzed. In this study, we investigated the emission concentrations of offensive odorous compounds of hydrogen sulfide, methyl mercaptan, dimethyl sulfide and dimethyl disulfide, trimethylamine, formaldehyde, acetaldehyde, propionaldehyde, buthylaldehyde, iso-valeric aldehyde, n-valeric aldehyde, ammonia. The concentrations of odorous compounds are determined by gas chromatography, HPLC and uv-vis spectroscopy. Hydrogen sulfide, methyl mercaptan, dimethyl sulfide and dimethyl disulfide were not detected at any point examined.

• Proceedings of the Korea Contents Association Conference
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• 2003.05a
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• pp.231-236
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• 2003

Video conferencing system it is various at internet and uses the reading is become accomplished. Research of like this portion synchronization of audio, the video compression technique and multimedia data, supports the video conference the research of the Mbone of the If multicast for being active, being become accomplished the multimedia service which is various an video from internet, the line speed of communication becomes high-speed anger and to follow leads is become accomplished. The video conference from opening elder brother dispersion internet network environment the problem against the image which is an image conference data and a voice security is serious and it raises its head. To sleep it presents the security method which from the video conference it follows in quality of multimedia data from the dissertation which it sees and it does.

• Proceedings of the KSR Conference
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• 2007.11a
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• pp.345-351
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• 2007

The research which it sees will confront to the coating with paint material and a coating with paint public law application of the river bridge and it will present it will sleep and it will execute, it will reach and a comparison - an analysis from the research which it tries to respect middle of special environment the polyurethane system which is a method coating with paint system and fluorine resin system, against a ceramic system it executed more an objectivity and rational fundamental data. With research method against each coating with paint evening sunlight a research investigation material and structure, it separated with spatial-temporal characteristic and economic viewpoint it executed. When considering overview from material viewpoint, fluorine resin system ceramic system polyurethane system pure with it is judged with the fact that it is excellent. There is a possibility of saying that the coefficient of friction of the fluorine resin system which uses the weapon quality zinc end coating compound ever so hard and polyurethane system is excellent ceramic system than from structure viewpoint. That fluorine resin system = polyurethane system ceramic system pure with it is excellent, it is judged from spatial-temporal characteristic viewpoint. It measures but it considered an internal troubles year grudge in the standard which becomes disturbance the place where it executes the market the expectation life person of the general bridge against 100 years the result fluorine resin system polyurethane system ceramic system which compares a materials unit cost pure with it appeared.

• The Journal of Information Systems
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• v.27 no.1
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• pp.89-110
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• 2018

Purpose There is much information in customer reviews, but finding key information in many texts is not easy. Business decision makers need a model to solve this problem. In this study we propose a multi-topic sentiment analysis approach using Latent Dirichlet Allocation (LDA) for user-generated contents (UGC). Design/methodology/approach In this paper, we collected a total of 104,039 hotel reviews in seven of the world's top tourist destinations from TripAdvisor (www.tripadvisor.com) and extracted 30 topics related to the hotel from all customer reviews using the LDA model. Six major dimensions (value, cleanliness, rooms, service, location, and sleep quality) were selected from the 30 extracted topics. To analyze data, we employed R language. Findings This study contributes to propose a lexicon-based sentiment analysis approach for the keywords-embedded sentences related to the six dimensions within a review. The performance of the proposed model was evaluated by comparing the sentiment analysis results of each topic with the real attribute ratings provided by the platform. The results show its outperformance, with a high ratio of accuracy and recall. Through our proposed model, it is expected to analyze the customers' sentiments over different topics for those reviews with an absence of the detailed attribute ratings.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.9
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• pp.4518-4540
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• 2019

With the development of IT convergence technology, autonomous driving has gradually developed; however, the vehicle is still operated by the driver, who should always be in good health - but sometimes, this is not the case. It is especially dangerous to drive when drowsy, and unable to fully concentrate on driving, such as when taking certain medicines, or through fatigue. Drowsy driving is at least eight times more dangerous than normal driving, and as dangerous as drunk driving. Previous research has looked at technology to detect drowsiness, in order to wake up drivers when necessary, or to safely stop the vehicle. Furthermore, many studies have been conducted to find out when drowsiness occurs. However, it is more desirable for the driver to take sufficient rest during a break, in order to be able to continue to focus and drive. In other words, it is important to maintain a normal state before drowsiness. In this study, we introduce a sound source to increase driver concentration and prevent drowsiness, another that can improve the quality of sleep, and a system that produces these sound sources. The proposed system has a noise reduction effect of about 15 dB. We have confirmed that the proposed sound induces an EEG of the desired form.

• ETRI Journal
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• v.44 no.3
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• pp.426-437
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• 2022

To understand the multilateral characteristics of human behavior and physiological markers related to physical, emotional, and environmental states, extensive lifelog data collection in a real-world environment is essential. Here, we propose a data collection method using multimodal mobile sensing and present a long-term dataset from 22 subjects and 616 days of experimental sessions. The dataset contains over 10 000 hours of data, including physiological, data such as photoplethysmography, electrodermal activity, and skin temperature in addition to the multivariate behavioral data. Furthermore, it consists of 10 372 user labels with emotional states and 590 days of sleep quality data. To demonstrate feasibility, human activity recognition was applied on the sensor data using a convolutional neural network-based deep learning model with 92.78% recognition accuracy. From the activity recognition result, we extracted the daily behavior pattern and discovered five representative models by applying spectral clustering. This demonstrates that the dataset contributed toward understanding human behavior using multimodal data accumulated throughout daily lives under natural conditions.