• Journal of Families and Better Life
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• v.33 no.4
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• pp.105-118
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• 2015

This study examined whether structural (coresidence, proximity) and associational (frequency of face-to-face contact, frequency of contact via phone, email or letter) solidarity between adult children and older parents may influence older parents' cognitive functioning. Adult children may help delay older parents' cognitive decline by promoting healthier lifestyle, engaging parents in complex everyday problem solving, and providing emotional support. The data consisted of men and women 65+ at Wave 1 who had at least one child 20+ and participated in at least two waves of the Korean Longitudinal Study of Ageing (KLoSA, N=3,961). Cognitive functioning was measured with the Korean version of the Mini Mental State Examination. Fixed effects models were estimated using the xtreg procedure in STATA. Findings suggest that increases in proximity with at least one adult child may lead to enhanced cognitive functioning among older parents. Neither transitioning to coresidence with at least one adult child nor increases in frequency of contact with at least one non-resident adult child was associated with changes in older parents' cognitive functioning. With older parents' increasing preference for living close by, but not necessarily living with adult children, greater proximity may provide more opportunities for reciprocal support exchanges between the two generations, leading to better cognitive functioning of older parents.

• Transactions on Electrical and Electronic Materials
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• v.4 no.3
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• pp.5-9
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• 2003

In this paper, a layout-based CMOS RF model for RFIC's including the capacitance effect, the skin effect, and the proximity effect between metal lines on the Si surface is proposed for the first time for accurately predicting the RF behavior of CMOS devices. With these RF effects, the RF equivalent circuit model based on the layout of the multi-finger gate transistor is presented. The capacitances between metal lines on the Si surface are modeled with the layout. And the skin effect is modeled to the equivalent ladder circuit of metal line. The proximity effect is modeled by adding the mutual inductance between cross-coupled inductances in the ladder circuit representation. Compared to the BSIM 3v3 and other models, the proposed RF model shows better agreements with the measured data and shows well the frequency dependent behavior of devices in GHz ranges.

• Proceedings of the KIEE Conference
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• 2002.11c
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• pp.237-240
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• 2002

We have studied a RF energy transformation. In this paper, we introduced proximity sensor using RF energy transformation. We used 125kHz RF signal as carrier frequency and BPSK circuit, PNP proximity sensor and designed circuit to transmit to the reader through the antenna with data which sensor had acquired. Micro-controller, oscillator, power amp, FSK Modulation module are included in the circuit. Max 323 chip is applied to analog switch and used to HYP-30R10NA sensor chip.

• Journal of Institute of Control, Robotics and Systems
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• v.22 no.8
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• pp.619-626
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• 2016

This paper proposes the design and performance evaluation of a marine engine fault detection system using a proximity sensor for marine engine. Non-linearity is greatly reduced by using the sensor without increasing the response time by applying the CANopen protocol. The CANopen protocol enables the sensor to send initial values and measurement data. The marine engine fault detection system measures crankshaft deflection and the bottom dead center of the crosshead in real-time, which maintains stability and prevents the serious breakdown of the marine engine by use of an interlocking alarm monitoring system.

• Journal of the Ergonomics Society of Korea
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• v.23 no.1
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• pp.13-22
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• 2004

Due to economical or technological reasons. humans are responsible for inspection functions in many cases. Humans. however. are rarely perfect. thus allowing non-confirming parts to be processed. As the attributes of interest or the variety of products increases. the inspection system becomes less effective because of the sensory and cognitive limitations of human inspectors. Any means that can support or aid the human inspectors is necessary to compensate for inspection difficulty. Augmented reality (AR) offers a new approach in designing an inspection system as a means to augment the cognitive capability of inspectors by providing the 3D spatial proximity between two information channels. The experimental results suggest that AR might be an effective tool that reduces inspection time without sacrificing the measuring accuracy.

• Korean Security Journal
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• no.38
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• pp.137-161
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• 2014

The aim of this study was to investigate the factors influencing on housebreaking victimization in South Korea. It is important that a resident, police officer, and policy makers use Routine activities/lifestyle theory in order to explore whether proximity and exposure to offenders or presence of guardianships affect the resident's risk of being victimized. In this context, the current study utilizes proximity variables: disorder of residence, exposure variables: hours of empty house and guardianship variables: social networks, security equipment. The study employs secondary data(Korean Crime Victim Survey in 2008) responses from a sample of 4, 710 resident. and Logistic regression analysis was used to examine whether the likelihoods of housebreaking victimization was associated with the measures of proximity and exposure and the lack of guardianship. The result of the study showed that proximity(disorder of residence) and guardianship (security equipment) are statistically significant predictors that is associated with an enhanced risk of school violence victimization while controlling for other variables. Further policy implications of the study will be discussed.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.58 no.10
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• pp.2071-2078
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• 2009

In this paper, we proposed a non-contact respiration measurement system with ultrasonic proximity sensor. Ultrasonic proximity sensor approach of respiration measurement which respiration signatures and rates can be derived in real-time for long-term monitoring is presented. 240 kHz ultrasonic sensor has been applied for the proposed measurement system. The time of flight of sound wave between the transmitted signal and received signal have been used for a respiration measurement from abdominal area. Respiration rates measured with the ultrasonic proximity sensor were compared with those measured with standard techniques on 5 human subjects. Accurate measurement of respiration rate is shown from the 50 cm measurement distance. The data from the method comparison study is used to confirm the performance of the proposed measurement system. The current version of respiratory rate detection system using ultrasonic can successfully measure respiration rate. The proposed measurement method could be used for monitoring unconscious persons from a relatively close range, avoiding the need to apply electrodes or other sensors in the correct position and to wire the subject to the monitor. Monitoring respiration using ultrasonic sensor offers a promising possibility of non-contact measurement of respiration rates. Especially, this technology offers a potentially inexpensive implementation that could extend applications to consumer home-healthcare and mobile-healthcare products. Further advances in the sensor design, system design and signal processing can increase the range of the measurement and quality of the rate-finding for broadening the potential application areas of this technology.

• International journal of advanced smart convergence
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• v.6 no.3
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• pp.29-37
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• 2017

The current behavior recognition system don't match data formats between sensor data measured by user's sensor module or device. Therefore, it is necessary to support data processing, sharing and collaboration services between users and behavior recognition system in order to process sensor data of a large capacity, which is another formats. It is also necessary for real time interaction with users and behavior recognition system. To solve this problem, we propose fog cloud based behavior recognition system for human body sensor data processing. Fog cloud based behavior recognition system solve data standard formats in DbaaS (Database as a System) cloud by servicing fog cloud to solve heterogeneity of sensor data measured in user's sensor module or device. In addition, by placing fog cloud between users and cloud, proximity between users and servers is increased, allowing for real time interaction. Based on this, we propose behavior recognition system for user's behavior recognition and service to observers in collaborative environment. Based on the proposed system, it solves the problem of servers overload due to large sensor data and the inability of real time interaction due to non-proximity between users and servers. This shows the process of delivering behavior recognition services that are consistent and capable of real time interaction.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.28 no.6
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• pp.621-626
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• 2010

For geometric correction of high-resolution images, the authors matched corresponding objects between a large-scale digital map and a QuickBird image to obtain the coefficients of the first order polynomial. Proximity corrections were performed, using the Boolean operation, to perform automated matching accurately. The modified iterative closest point (ICP) algorithm was used between the point data of the surface linear objects and the point data of the edge objects of the image to determine accurate transformation coefficients. As a result of the automated geometric correction for the study site, an accuracy of 1.207 root mean square error (RMSE) per pixel was obtained.

• Atmosphere
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• v.17 no.3
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• pp.255-268
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• 2007

This study generated and evaluated the high resolution (5 km) gridded data of monthly mean, maximum and minimum temperature from 2002 to 2005 over South Korea using a modified PRISM(Parameter-elevation Regressions on Independent Slopes Model: K-PRISM) developed by Daly et al. (2003). The performance of K-PRISM was evaluated by qualitative and quantitative ways using the observations and gridded data derived by inverse distance weighting (IDW) and hypsometric methods (HYPS). For the generation of high resolution gridded data, geographic informations over South Korea, such as the digital elevation, topographic facet and coastal proximity, are derived from the 1 km digital elevation data. The spatial patterns of temperature derived by K-PRISM were more closely linked to topography and coastal proximity than those by IDW. The K-PRISM performed much better than IDW for all months and temperatures, but it was equal to or slightly better than the HYPS. And the performances of K-PRISM were better in the minimum and mean temperature (winter) than the in maximum temperature (summer).