• Journal of The Korea Institute of Healthcare Architecture
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• v.17 no.4
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• pp.7-14
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• 2011

This paper is intended to suggest some reference materials for future elderly housing design, especially smart home, in Korea, by reviewing the elements and applications of smart home concept for older adults in USA. Research method includes collecting materials by attending the regular SmartHome$^{(R)}$ part meeting, the navigation of related homepages, and the analysis of collected materials. Current researches in Korea look initial stage and show some general principles without practical concept & technologies of elderly facilities. SeniorSmart$^{(R)}$ Center in USA started on August 2007 with the 3 parts of SmartHOME$^{(R)}$, SmartWHEELS$^{(R)}$ and SmartBRAIN$^{(R)}$. The Center has been doing various multidisciplinary research projects but slowing down the planned processes due to national economic recession. The major researches of SmartHome$^{(R)}$ part can be summarized as follows; CS-PFP( Continuous Scale Physical Function Performance) laboratory is being in operation to help older adults and families make the difficult decision regarding the ability and safety to live independently. Three levels of necessary laboratories from uninhabited space to senior living environment were accommodated for field research. As core technologies of SmartHome$^{(R)}$, predicting & warning system of fall risk on recognizing gait signature patterns to identify any deviation from the normal patterns of the older adults, home monitoring system which will send alerts to a specified relative and/or health care professional when vital signs of the older adults will not be within normal parameters, and Mobility & Research Clinic for evaluating, treating the older adults & multidisciplinary research are under development. SmartHome$^{(R)}$ has made collaborative research agreements for field laboratory with various retirement communities and also is continuing to work for experimental software engineering with the Fraunhofer Institute, Germany.

• Journal of KIISE:Computing Practices and Letters
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• v.15 no.4
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• pp.244-254
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• 2009

This paper describes a remote system to monitor the circadian behavioral patterns of elders who live alone. The proposed system was designed and implemented to provide more conveniently and reliably the required functionalities of a remote monitoring system for elders based on the development of first phase prototype[2]. The developed system is composed of an in-house sensing system and a server system. The in-house sensing system is a set of wireless sensor nodes which have pyroelectric infrared (PIR) sensor to detect a motion of elder. Each sensing node sends its detection signal to a home gateway via wireless link. The home gateway stores the received signals into a remote database. The server system is composed of a database server and a web server, which provides web-based monitoring system to caregivers (friends, family and social workers) for more cost effective intelligent care service. The improved second phase system can provide 'automatic diagnosis', 'going out detection', and enhanced user interface functionalities. We have evaluated the first and second phase monitoring systems from real field experiments of 3/4 months continuous operation with installation of 9/15 elders' houses, respectively. The experimental results show the promising possibilities to estimate the behavioral patterns and the current status of elder even though the simplicity of sensing capability.

• Korean Journal of Adult Nursing
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• v.12 no.4
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• pp.606-618
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• 2000

The purpose of the study was to investigate the characteristics of the clients registered in the department of home health care nursing in a hospital and to analyze nursing intervention activities recorded in charts by application of Nursing Intervention Classification (NIC) system. For the descriptive survey study, data were collected by reviewing charts of 572 home health care clients between May, 1997 and July, 2000 at K hospital in Seoul. The average age of the clients was 66 years and the number of clients in their 70s ranked first with 28.2 percent(158 people). The mean length of home care service was 47 days with the highest frequency of less than four weeks (56 %). With regard to medical diagnosis, cancer showed the highest frequency (48%, 271 people), followed by cerebrovascular disease (19%), and pulmonary disease (6.9%). According to analysis of nursing interventions by the NIC system, the most frequently used nursing interventions in level 1 were interventions in the Physiological: Complex domain which were used 3,663 times (33%) among 11,107 total interventions. The Safety domain was the second most frequently used intervention, followed by the Physiological: Basic, and the Behavioral domains. In level 2, the Risk Management class was the most frequently used interventions with 3,108 interventions (27.9%), followed by Drug Management, and Tissue Perfusion Management classes. In level 3 interventions, Vital Sign Monitoring was the most frequently used intervention, 569 times (5.1%), followed by Health Screening, and Neurological Monitoring interventions. In sum, half of the clients in the study had cancer and were in their 70s. The most frequent reason for ending home care was death (40%), followed by readmission (28%). These findings represent clients with severe conditions referred to the home care nursing department as it was a University teaching hospital. Further research on analyzing nursing interventions performed in each institution needs to be conducted to develop a standardized list of nursing interventions to use in home health care settings.

• IEMEK Journal of Embedded Systems and Applications
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• v.10 no.4
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• pp.213-219
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• 2015

Real-time energy monitoring systems is a demand-response system which is reported to be effective in saving energy up to 12%. Real-time energy monitoring system is commonly composed of smart-plugs which sense how much electrical power is consumed and IHD(In-Home Display device) which displays power consumption patterns. Even though the monitoring system is effective, users should themselves match which smart plus is connected to which appliance. In order to make the matching work to be automatic, the monitoring system need to have appliance identification algorithm, and some works have made under the name of NILM(Non-Intrusive Load Monitoring). This paper proposed an algorithm which utilizes multiple classifiers to improve accuracy of appliance identification. The algorithm proposes to understand each classifiers performance, that is, when a classifier make a result how much the result is reliable, and utilize it in choosing the final result among result candidates from many classifiers. By using the proposed algorithm this paper make 4.5% of improved accuracy with respect to using single best classifier, and 2.9% of improved accuracy with respect to other method using multiple classifiers, so called CDM(Commitee Decision Mechanism) method.

• Journal of Sensor Science and Technology
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• v.17 no.3
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• pp.168-177
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• 2008

An indoor environmental monitoring system using IEEE 802.15.4 based wireless sensor network is proposed to monitor the amount of pollutant entering to the room from outside and also the amount of pollutant that is generated in indoor by the building materials itself or human activities. Small-size, low-power wireless sensor node and low power electrochemical sensor board is designed to measure the condition of indoor environment in buildings such as home, offices, commercial premises and schools. In this paper, two query models, the broadcasting query protocol and flooding query protocol, were designed and programmed as a query-based routing protocol in wireless sensor network for an environment monitoring system. The flooding query routing protocol in environment monitoring is very effective as a power saving routing protocol and reliable data transmission between sensor nodes.

• Journal of Families and Better Life
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• v.32 no.3
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• pp.45-63
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• 2014

The purpose of this study was to examine the effects of adolescents' school adjustment on depression in their transitional period and to find the moderating effects of parental support, parental monitoring, and peer support on the relationship between school adjustment and depression. The participants were 550 first graders in three middle schools in Incheon Metropolitan City and Kyung-gi Province. The major findings of this study were as follows: First, adolescents' school adjustment had significant effects on depression. The lower the level of school adjustment was, the higher the level of depression was. Second, parental support, parental monitoring, and peer support had moderating effects on the relationship between school adjustment and depression. Parental support decreased the depression of adolescents who were at a lower level of adjustment to peer relationship or school class. Parental monitoring decreased the depression of adolescents who were at a lower level of adjustment to school adjustment. On the contrary, parental monitoring increased the depression of adolescents who were at a higher level of adjustment to school adjustment. Peer support decreased the depression of adolescents who were at a lower level of adjustment to school class.

• Journal of the Korean Home Economics Association
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• v.41 no.7
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• pp.121-143
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• 2003

The purpose of this study was to show general trends in the psychological environment of family and problem behaviors perceived by adolescents and examine possible changes in such trends in accordance with the individual variables of adolescent, and then find out the effect of these variables on adolescents' problem behavior. The subject were 1374 adolescents of middle school in Busan(male 698, female 676). The main results were as follows : (1) General trends in the degree of parental monitoring showed that girls had more high than boys, and in the degree of family discord, boys showed more high than girls. In the degree of openness of parent-adolescent communication perceived by adolescents showed that girls had more open communication with mother than boys. Such trends in problem behaviors indicated that adolescents had the attention problem most. According to gender, girls had more problems in withdrawal, somatic complain, anxiety/depression, thought problems, attention problems, destructivity/identity, internalizing problems, total behavior problems in comparison to boys. Boys did delinquent behaviors more than girls. (2) For boys, the monthly income of their family, family discord, and the mother-adolescent communication have a significant direct effect on internalizing problems, externalizing problems and total behavior problems. Besides mother's employment and the type of family have a significant indirect effect on behavior problem. For girls, mother's employment, parental monitoring, family discord, and father-adolescent communication have a significant direct effect on internalizing problems. Mother's employment, family discord, mother-adolescent communication have a significant indirect effect on externalizing problems and total behavior problems. Bisides mother's employment, grade, the type of family, dating have a significant indirect effect on behavior problem. (3) The variables to have a significant influence on the parental monitoring showed as the monthly income of their family, dating, mother's employment, the type of family, the family discord showed as mother's employment on the parent-adolescent communication showed as the type of family. (4) Family discord was the most powerful predicator of problem behaviors of middle school students.

• The Journal of the Korea institute of electronic communication sciences
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• v.17 no.3
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• pp.491-498
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• 2022

In our daily life, quality of sleeping is closely related to happiness index. Whether or not people perceive sleep disturbance as a chronic disease, people complain of many difficulties, and in their daily life, they often experience difficulty breathing during sleep. It is very important to automatically recognize breathing-related disorders during a sleep, but it is very difficult in reality. To solve this problem, this paper proposes a mobile-based non-contact sleeping monitoring for health management at home. Respiratory signals during the sleep are collected by using the sound sensor of the smartphone, the characteristics of the signals are extracted, and the frequency, amplitude, respiration rate, and pattern of respiration are analyzed. Although mobile health does not solve all problems, it aims at early detection and continuous management of individual health conditions, and shows the possibility of monitoring physiological data such as respiration during the sleep without additional sensors with a smartphone in the bedroom of an ordinary home.

• Journal of KIISE:Computing Practices and Letters
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• v.10 no.4
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• pp.337-350
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• 2004

Because of a security problem and not enough IPv4 address space, the home network has been made up of private network, and it has been separated from Internet. This fact prevents people in Internet from controlling and monitoring home appliances. So, this paper designs and Implements the UPnP Proxy System which offers functions for users to control and monitor home appliances. When users are in the outside of the home network, they do not know which devices were connected in the home network because the advertisement messages of UPnP devices would not be delivered to the outside of the home network. Also, users cannot access devices directly, and their control messages are not delivered into the home network. So, this paper designs and implements the UPnP Proxy System to solve these problems. The merit of the system is that users can control and monitor home appliances in realtime using presentation web documents with the HTTP push technology.

• Journal of the Korean Institute of Intelligent Systems
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• v.21 no.4
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• pp.407-413
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• 2011

This paper presents an electrical power monitoring system for home energy management and an automatic appliance-identification algorithm based on the electricity-usage patterns collected during the monitoring tests. This paper also discusses the results of the field tests of which the proposed system was voluntarily deployed at 13 homes. The proposed monitoring system periodically measures the amount of power consumption of each appliance with a pre-specified time interval and effectively displays the essential information provided by the monitored data which is required users to know in order to save power consumption. Regarding the field tests of the monitoring system, the households responded that the system was useful in saving electricity and especially the electricity-usage patterns per appliances. They also considered that the predicted amount of the monthly power consumption was effective. The proposed appliance-identification algorithm uses 4 patterns: Zero-Crossing Rate(ZC), Variation of On State(VO), Slope of On State(SO) and Duty Cycle(DC), which are applied over the 2 hour interval with 25% of it on state, and it yielded 82.1% of success rate in identifying 5 kinds of appliances: refrigerator, TV, electric rice-cooker, kimchi-refrigerator and washing machine.