• Journal of International Academy of Physical Therapy Research
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• v.1 no.1
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• pp.19-25
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• 2010

The purpose of this study was to determine the effects of heat application on the immune activities of the human body. To exam, furthermore, the immune effect from the healthy volunteer(male:15, female:15) by monitoring changes of immune substances such as various leukocytes[total white blood cell(WBC), eosinophil, neutrophil, basophil, monocyte, and lymphocyte], a comparative study with warm water immersion($40.8{\pm}0.3^{\circ}C$) and infrared(250W) was carried out. The plasma analysis showed that the count of white blood cell, eosinophil, and neutrophil were elevated in warm water immersion- or infrared. stimulated group compared with control group. However, the count of basophil was decreased in both warm water immersion- and infrared-stimulated group than control group. Therefore, these results suggest that the thermostimulation improved immune activity.

• Journal of Korean Public Health Nursing
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• v.36 no.2
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• pp.265-281
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• 2022

Purpose: Adolescence is a developmental period characterized by the rapid growth of the musculoskeletal system, which is important for maintaining correct posture. Incorrect posture, lack of exercise, and reduced physical activity can cause spine deformities and affect lifelong health. This study was designed to evaluate the application and effect of a program for improving adolescents' musculoskeletal health. Methods: A quasi-experimental pilot study was conducted with 13 male and 20 female middle and high school students, with an average age of 15.39 years. Their general characteristics and physical measurements were obtained. The program consisted of group exercises (60 minutes, once per week), gait pattern monitoring, and online communication. A paired t-test and Wilcoxon signed-rank test were used to examine the program's effect. Results: Overall posture habits improved, and the total musculoskeletal index decreased; however, these results were not statistically significant. Conclusions: The devised program was effective in improving musculoskeletal imbalance. Therefore, effective programs and health devices should be developed to help adolescents maintain correct posture and encourage and support continuous participation in such programs.

• Horticultural Science & Technology
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• v.32 no.1
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• pp.123-128
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• 2014

This study investigated the exercise intensity and energy expenditure involved in two gardening activities (planting transplants and sowing seeds in a garden plot) and four common physical activities (running, skipping rope, walking, and throwing a ball) in children. Eighteen children aged 11 to 13 years (mean age, $12.3{\pm}0.7$ years) participated in this study. The children made two visits to a high tunnel in Cheongju, Chungbuk, South Korea and performed randomly selected activities. Each activity was performed for 10 min, with a 5-min rest period between activities. The children wore a Cosmed $K4b^2$ (Cosmed $K4b^2$; Cosmed, Rome, Italy), which is a portable calorimetric monitoring system, to measure indicators of metabolic cost such as oxygen uptake and energy expenditure. The children's heart rates during the activities were measured by radiotelemetry (Polar T 31; FitMed, Kempele, Finland). We found that the two gardening and four physical activities performed by the 11-13 years old children in this study were moderate-to high-intensity physical activities [i.e.,$5.4{\pm}0.7$ to $9.1{\pm}1.4$ metabolic equivalents (METs)]. Running ($9.1{\pm}1.4$ METs) and skipping rope ($8.8{\pm}1.1$ METs) were high-intensity physical activities, whereas walking ($6.1{\pm}0.9$ METs), planting transplants ($5.8{\pm}1.1$ METs), throwing a ball ($5.6{\pm}1.1$ METs), and sowing seeds ($5.4{\pm}0.7$ METs) were moderate intensity physical activities. Running and skipping rope were significantly more intense than the other activities (P < 0.0001). The gardening tasks such as planting transplants and sowing seeds in a garden plot showed similar exercise intensities and energy costs as walking and throwing a ball. This study indicates that gardening can be used as a physical activity intervention to provide health benefits similar to more common physical activities such as walking and running.

• Advances in Computational Design
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• v.4 no.2
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• pp.73-90
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• 2019

The growth in the number of single-member households is a critical issue worldwide, especially among the elderly. For those living alone, who may be unaware of their health status or routines that could improve their health, a continuous healthcare monitoring system could provide valuable feedback. Assessing the performance adequacy of activities of daily living (ADL) can serve as a measure of an individual's health status; previous research has focused on determining a person's daily activities and extracting the most frequently performed behavioral patterns using camera recordings or wearable sensing techniques. However, existing methods used to extract common patterns of an occupant's activities in the home fail to address the spatio-temporal dimensions of human activities simultaneously. Though multiple sequence alignment (MSA) offers some advantages - such as inherent containment of the spatio-temporal data in sequence format, and rapid identification of hidden patterns - MSA has rarely been used to extract in-home ADL routines. This research proposes a method to extract a household occupant's ADL routines from a cumulative spatio-temporal data log of occupancy collected using a non-intrusive method (i.e., a tomographic motion detection system). The findings from an occupant's 28-day spatio-temporal activity log demonstrate the capacity of the proposed approach to identify routine patterns of an occupant's daily activities and to reveal the order, duration, and frequency of routine activities. Routine ADL patterns identified from the proposed approach are expected to provide a basis for detecting/evaluating abrupt or gradual changes of an occupant's ADL patterns that result from a physical or mental disorder, and can offer valuable information for home automation applications by enabling the prediction of ADL patterns.

• Journal of the Institute of Convergence Signal Processing
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• v.21 no.1
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• pp.49-54
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• 2020

Cardiovascular disease is the leading cause of death worldwide and is caused by a variety of causes. The highest risk factor for cardiovascular disease is high blood pressure, which has no obvious symptoms, but if left untreated, it causes several complications. In order to treat hypertension, medication and regular exercise are required. In people with high blood pressure, excessive physical activity can put a great strain on the heart and lead to cardiovascular disease. Therefore, there is a need for an exercise intensity monitoring system through PTT measurement that can perform exercise at an appropriate intensity. In this study, we implemented a PTT change monitoring system according to exercise intensity by calculating PTT through ECG and PPG measurement. The implemented system differentiates the R-peak of the ECG and P-peak of the PPG, and calculates the PTT using the time difference between R-peak and P-peak. A running experiment was conducted to monitoring PTT change according to exercise intensity. As a result of the experiment, low intensity PTT is 0.313s, moderate is 0.220s, high is 0.188s, it was confirmed that the PTT decreased as the exercise increase increased.

• Proceedings of the Korea Society of Environmental Toocicology Conference
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• 2003.10a
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• pp.27-27
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• 2003

Lake Texoma is located on the border of southern Oklahoma and northern Texas. It has 93,000 surface acres, and is a focus of the recreation, and farming industries in the region. There are potential stressors around the Lake Texoma watershed that may cause adverse ecological effects in the lake. System assimilative capacity (SAC) is the ability of abiotic and biotic processes to atteuniate the stressors. SAC Exceeded indicates potential of occuring adverse eco-effects. A number of representative chemical release sites and stressor sources in the surrounding watershed were characterized, and several impact sites having stressors sources, such as being near agriculture, landfills, housing areas, oil production fields and heavy use recreational activity, were selected for surface water, sediment, and groundwater monitoring. A paired reference site, having similar physical characteristics as its impact site, was also chosen based on its proximity to the impact site. Lake water samples were collected at locations identified as marina entrance, gasoline filling station, and boat dock at five marinas selected on Lake Texoma from September 1999 to December 2001. Paired water and sediment samples were also collected. Groundwater samples were collected at about 70 producing monitoring wells. Water quality parameters measured were inorganics (nitrate, nitrite, orthophosphate, ammonia, sulfate, and chloride), dissolved methane, total organic carbon (TOC) (or DOC), volatile organic compounds (VOCs) such as methyl tert-butyl ether (MTBE) and BTEX, and a suite of metals. Biotic communities were evaluated at impact and reference sites. Five basic components were measured; two terrestirial components (plants and bird comminitires) and three aquatic components (benthic inverbrates, litteral-zone fishes, ecosystem attribures). Potential impacts to these comminites were evaluated.

• Journal of Institute of Control, Robotics and Systems
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• v.20 no.5
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• pp.486-494
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• 2014

Intelligent homes consist of ubiquitous sensors, home networks, and a context-aware computing system. These homes are expected to offer many services such as intelligent air-conditioning, lighting control, health monitoring, and home security. In order to realize these services, many researchers have worked on various research topics including smart sensors with low power consumption, home network protocols, resident and location detection, context-awareness, and scenario and service control. This paper presents the real-time metabolic rate estimation method that is based on measured heart rate for human adaptive appliance (air-conditioner, lighting etc.). This estimation results can provide valuable information to control smart appliances so that they can adjust themselves according to the status of residents. The heart rate based method has been experimentally compared with the location-based method on a test bed.

• Korean Journal of Health Education and Promotion
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• v.33 no.4
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• pp.89-100
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• 2016

Objectives: Life style modification leads to decrease health risk and change of health status for person at health risk. This study aimed to suggest essential components and effective strategies for customized health management service to provide individual and risk group in public and private health care organizations. Methods: To systematic review the essential component of health management service, I performed to collect political legislation, research papers, reports, publication and public release for heath management service from 2008 to 2016. Essential components of heath management service were service scope, service design, organizations and applied technology. Results: Service cope was composed of health risk factors, such as smoking, drinking, nutrition, physical activity and weight control. Main strategies were customized health management services, personalized behavior modification programs, evidence-based service protocol, utilization of information and communications technology (ICT), multi-dimension and multi-level approach, and public and private organizations partnership through health policies and health care system. Conclusions: To make the most of the limited resources, it should require a systematic approach that focuses on continuous monitoring and partnership of health management service.

• Proceedings of the Korean Society of Computer Information Conference
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• 2020.07a
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• pp.147-149
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• 2020

코로나바이러스의 세계 확산, 발병 이후 사람들의 실내활동 증가와 건강, 면역에 대한 관심은 많이 증가했다. 이에 맞춰 더욱 정교하고 바른 정보에 의한 스마트헬스케어 역시 관심이 증대되고 있다. 여기서 이야기하는 스마트헬스케어의 범위는 영상 장치를 비롯해 다양한 센서를 활용해 신체활동을 모니터링하고 분석하며 기존의 방식보다 더 객관적인 정보를 제공해 주는 것을 말한다. 위 기술과 대중의 관심을 바탕으로 하여 본 연구에서는 다중 모드 센서를 신체에 부착하여 신체활동을 모니터링 하는 시스템 개발을 목적으로 한다. 하드웨어 설계 부분에서 설계가 완성된 Arduino nano 33 Sense를 이용하여 스마트 헬스 실험 시간을 대폭 줄였다. 또한 운동과 같은 시계열 데이터를 분석하기 좋은 LSTM 기법을 채택하였으며, 개발된 모델을 추후 활용할 방안에 대해 논하였다.

• International Journal of Computer Science & Network Security
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• v.24 no.6
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• pp.207-215
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• 2024

Cloud computing is now used by most companies, business centres and academic institutions to embrace new computer technology. Cloud Service Providers (CSPs) are limited to certain services, missing some of the assets requested by their customers, it means that different clouds need to interconnect to share resources and interoperate between them. The clouds may be interconnected in different characteristics and systems, and the network may be vulnerable to volatility or interference. While information technology and cloud computing are also advancing to accommodate the growing worldwide application, criminals use cyberspace to perform cybercrimes. Cloud services deployment is becoming highly prone to threats and intrusions. The unauthorised access or destruction of records yields significant catastrophic losses to organisations or agencies. Human intervention and Physical devices are not enough for protection and monitoring of cloud services; therefore, there is a need for more efficient design for cyber defence that is adaptable, flexible, robust and able to detect dangerous cybercrime such as a Denial of Service (DOS) and Distributed Denial of Service (DDOS) in heterogeneous cloud computing platforms and make essential real-time decisions for forensic investigation. This paper aims to develop a framework for digital forensic for the detection of cybercrime in a joined heterogeneous cloud setup. We developed a Digital Forensics model in this paper that can function in heterogeneous joint clouds. We used Unified Modeling Language (UML) specifically activity diagram in designing the proposed framework, then for deployment, we used an architectural modelling system in developing a framework. We developed an activity diagram that can accommodate the variability and complexities of the clouds when handling inter-cloud resources.