• Journal of Information Technology Applications and Management
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• v.27 no.3
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• pp.19-36
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• 2020

The Internet of things (IoT) is a system of interrelated computed devices, digital machines and any physical objects which are provided with unique identifiers and the potential to transmit data to people or machine (M2M) without requiring human interaction. IoT devices can be used to monitor and control the electrical and electronic systems used in different fields like smart home, smart city, smart healthcare and etc. In this study we introduce four imaginary IoT devices as a learning support assistants according to students' dominant learning styles measured by Honey and Mumford Learning Styles: Activists, Reflectors, Theorists and Pragmatists. This research emphasizes the association between students' strong learning styles and a preference to appropriate IoT devices with specific characteristics. Moreover, different levels of IoT devices' architecture are clearly explained in this study where all the artificial devices are designed based on this structure. Data analysis of experiment were measured by the use of chi square test for association and research results showed the statistical significance of the estimated model and the impacts of each category over the model where we finally got accurate estimates for our research variables. This study revealed the importance of considering the students' dominant learning styles before inventing a new IoT device.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.7 no.11
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• pp.2853-2873
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• 2013

Over the last few years, one of the most common purposes of smart homes is to provide human centric services in the domain of u-healthcare by analyzing inhabitants' daily living. Currently, the major challenges in activity recognition include the reliability of prediction of each classifier as they differ according to smart homes characteristics. Smart homes indicate variation in terms of performed activities, deployed sensors, environment settings, and inhabitants' characteristics. It is not possible that one classifier always performs better than all the other classifiers for every possible situation. This observation has motivated towards combining multiple classifiers to take advantage of their complementary performance for high accuracy. Therefore, in this paper, a method for activity recognition is proposed by optimizing the output of multiple classifiers with Genetic Algorithm (GA). Our proposed method combines the measurement level output of different classifiers for each activity class to make up the ensemble. For the evaluation of the proposed method, experiments are performed on three real datasets from CASAS smart home. The results show that our method systematically outperforms single classifier and traditional multiclass models. The significant improvement is achieved from 0.82 to 0.90 in the F-measures of recognized activities as compare to existing methods.

• Journal of Society of Preventive Korean Medicine
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• v.14 no.2
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• pp.67-75
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• 2010

Objectives : Recently, the number of elderly people has been rapidly increasing in Korea, and it led to increase demands of Korean traditional medical services. However, there is a lack of information on Korean traditional service utilization. Thus, this study was intended to identify Korean traditional service utilization patterns such as acupuncture, moxibustion and cupping, since Korean traditional services were specially used in treating chronic diseases for elderly people. It is important to understand health services utilization for quality improvement of healthcare systems. Methods:We used data of 'Survey in Daegu' in 2008 and analyzed characteristics of disease structure and utilization patterns of health care service of 1,097 cases of participated citizens. Results : The proportion of the elderly people (>50 age) in total participators is 52.4%. Male to female ratio is 1:1.65 and most common age group was between 50 and 59 years old. 84.2% of participators were admitted at oriental health care facilities. In addition, the results showed that female were more used the service than man. The most common treated disease is musculoskeletal disorders in both male and female. Conclusions : Acupuncture, moxa and cupping are widely used to treat chronic degenerative diseases such as musculoskeletal disorders at oriental health care facilities. Elders and female prefer to be admitted at oriental health care facilities.

• Journal of Information Processing Systems
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• v.9 no.1
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• pp.1-30
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• 2013

The capitalization of know-how, knowledge management, and the control of the constantly growing information mass has become the new strategic challenge for organizations that aim to capture the entire wealth of knowledge (tacit and explicit). Thus, knowledge mapping is a means of (cognitive) navigation to access the resources of the strategic heritage knowledge of an organization. In this paper, we present a new mapping approach based on the Boolean modeling of critical domain knowledge and on the use of different data sources via the data mining technique in order to improve the process of acquiring knowledge explicitly. To evaluate our approach, we have initiated a process of mapping that is guided by machine learning that is artificially operated in the following two stages: data mining and automatic mapping. Data mining is be initially run from an induction of Boolean case studies (explicit). The mapping rules are then used to automatically improve the Boolean model of the mapping of critical knowledge.

• Journal of Biomedical Engineering Research
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• v.29 no.6
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• pp.457-465
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• 2008

HL7(Health Level 7) is a standard for exchanging medical and healthcare data among different medical information systems. As the ubiquitous era is coming, in addition to text and imaging information, a new type of data, i.e., streaming sensor data appear. Since the HL7 is not covering the interfaces among the devices that produces sensor data, it is expected that sooner or later the HL7 needs to include the biomedical sensors and sensor networks. The IEEE 1451 is a family of standards that deals with the sensors, transducers including sensors and actuators, and various wired or wireless sensor networks. In this paper, we consider the possibility of interoperability between the IEEE 1451 and HL7. After we propose a format of messages in HL7 to include the IEEE 1451 TEDS, we present some preliminary results that show the possibility of integrating the two standards.

• Korean Journal of Adult Nursing
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• v.27 no.2
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• pp.170-179
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• 2015

Purpose: To examine the relationships between self-care, social support, and biological markers in liver transplant recipients. Methods: The participants included 118 liver transplant recipients who visited outpatient clinic at Y University Hospital in Seoul from April to May, 2013. Questionnaires consisted of self-care and social support scales. The biological markers were collected by reviewing electronic medical records. Data were analyzed with descriptive statistics, t-test, ANOVA with Scheff$\acute{e}$ post-hoc test, and Pearson's correlation. Results: The self-care score was significantly higher in a patient group within 6 months post-transplant when compared to a patient group post-transplant 3 to 5 years (F=3.10, p=.018). The self-care showed positive correlation with social support with statistical significance (r=.36, p<.001). Conclusion: As the self-care in liver transplant recipients had a positive correlation with social support from family and healthcare providers, the development of comprehensive long-term nursing intervention systems including counseling, education, and support in consideration of progress of time period after transplantation is necessary to enhance self-care behaviors among this population.

• 제어로봇시스템학회:학술대회논문집
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• 2005.06a
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• pp.202-205
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• 2005

The purpose of this work is to identify the characteristic of eye movement for visual training of the elderly. This investigation is to examine the relationship between the head and the eye motor system for the localization of visual target direction in three-dimensional space. All experiments were performed in a soundproof chamber. Twenty-one red LEDs (Light-Emitting Diode, Brightness: 20cd/$m^2$) arrayed in three lines on a half circle-surrounding panel are used. LEDs are horizontally 30 degree apart and vertically 20 degree apart from each other. The condition of stimulation is random and anti-saccade. Physiological parameter such as EOG (Electro-Oculography) was measured by BIOPAC system. We measure the mean latency time, which is the time from the start of visual stimulation to the response of the human body. The result shows that the mean latency time is short in the case of the condition of anti-saccade, the fixed head and a quarter visual stimulation. This finding can be used in developing programs for various visual improvements for the elderly by analyzing the characteristic of eye movement.

• 제어로봇시스템학회:학술대회논문집
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• 2005.06a
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• pp.1606-1611
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• 2005

The goal of this paper is to develop a self localization of mobile robot using UHF RFID landmark. We present landmark, a location sensing archetype system that uses UHF Radio Frequency Identification (UHF RFID) technology for locating objects inside buildings. The major advantage of landmark is that it improves the overall accuracy of locating objects by utilizing the concept of reference tags. Based on experimental analysis, we demonstrate that passive UHF RFID is a viable and cost-effective candidate for indoor location sensing. We conduct a series of experiments to evaluate performance of the positioning of the landmark System. In the standard setup, we place RF Reader which has two antennas and 25 tags in our lab. This research uses the assumption-based coordinates (ABC) algorithm[3] for determining the localization of robot. Also, we show how Radio Frequency Identification (UHF RFID) can be used in robot-assisted indoor navigation for the visually impaired. The experiments illustrate that passive UHF RFID tags can act as reliable landmark that trigger local navigation behaviors to achieve global navigation objectives.

• 제어로봇시스템학회:학술대회논문집
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• 2005.06a
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• pp.2444-2447
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• 2005

The purpose of this study was to analyze the gait motion of the aged with a lower limbs orthosis. The gait motion was analyzed with and without lower limbs orthosis using APAS 3D Motion Analysis System. The pattern of lower limbs motion was tracked based on four targets attached to the body of the subject. The targets were positioned at hip, knee, ankle, and foot. The parameters measured were the displacement, the velocity, and the acceleration of the four targets. The improvement in the measured values on the displacement and the velocity of the four targets were small with the orthosis due to inconvenience of wearing it, but the increase in the acceleration was large due to the elastic force of the rubber actuator. Especially, the increase of the acceleration of foot with lower limbs orthosis seems to help the gait motion of the elderly.

• 제어로봇시스템학회:학술대회논문집
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• 2005.06a
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• pp.2451-2454
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• 2005

In recent years, the importance of the characterization of fall for a fracture prevention system keeps increasing since fracture from a fall can lead to serious health problems. Fall is one of the major sources which increase morbidity in elderly people. In terms of the cost and the influence to the quality of life, the most serious injury with hip fractures is caused by falls. The traditional methods in characterizing fall patterns have been mainly by the epidemiological surveys. With surveys, the exact data of fall patterns can not been acquired. In this paper, we measured and analyzed with the parameters related to fall pattern such as velocities and accelerations during the motion of falls using 3D motion capture program. We acquired the parameters of the fall pattern of intentional and unexpected fall. The result showed that the variation of velocity and acceleration during fall was very important in characterizing fall pattern, which of vital importance for the development of a fracture prevention system and for the safety of the elderly.