• Journal of the Korean housing association
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• v.27 no.5
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• pp.25-35
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• 2016

he objective of this study was to investigate home network systems presently applied in multi-housing complexes and resident's usage to improve the utilization of these systems and services as well as maintenance methods. Subjects were 27 housing complexes equipped with home network systems in west Pangyo area. The investigation methods of communal network systems were observed and photographed. Unit systems were investigated through photography, interviews, and observation focusing on the utilization of Wall-Pads by visiting one unit of each housing complex. The results are as follows: (1) Most housing complexes that we investigated were built with high-grade IT infrastructure. Also, remote meter reading, electronic security, vehicle access, and building access systems were established. Wall-Pads with similar functions were installed in 23 housing complexes, excluding private rental housing complexes. (2) Even though people were well aware of the need for common systems within their housing complexes, only 10~20% of Wall-Pad menus were used. (3) Low utilization rates of home network stem from Wall-Pad menus which were user-unfriendly, and a lack of user training for the complex's common system and unit system. Therefore, to promote active use of home network systems, the systems must be diversified in accordance with user characteristics. In addition, the Wall-Pad menus should be reorganized to be user-friendly.

• Convergence Security Journal
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• v.22 no.2
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• pp.59-66
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• 2022

Recently, smart home technology has been developed with a great response due to the convenience of home automation. Smart home technology provides various services by connecting various Internet of Things (IoT) and sensors to a home network through wired/wireless networks. In addition, the smart home service easily and conveniently controls lighting, energy, environment, and door cameras through a wall pad. However, while it has become a social issue due to the recent hacking accident of wall pads, personal information leakage and privacy infringement are expected. Accordingly, it is necessary to prepare preventive and countermeasures against security vulnerability factors of wall pads. Therefore, this study expects that it can be used as basic data for future smart home application and response technology development by examining the weak causes and countermeasures related to wall pads.

• Transactions of the Korean Society of Pressure Vessels and Piping
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• v.18 no.1
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• pp.11-18
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• 2022

When wall-thinning in a pipe occurs during operation of nuclear power plant, reinforcement of the pipe needs to be performed. Accordingly, the structural response of the piping system due to introduction of the reinforcement may be re-evaluated. For elastic structural analysis of the piping system with the reinforced pipe using finite element (FE) analysis, the stiffness of the reinforced pipe is needed. In this study, the stiffness matrix of wall-thinned pipe with pad reinforcement or composite reinforcement is analytically derived. The validity of the proposed equations is checked by comparing with systematic finite element (FE) analysis results.

• The Journal of the Korea institute of electronic communication sciences
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• v.6 no.4
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• pp.505-509
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• 2011

Home network system makes it available for controlling inside home and for controlling from outside as well with personal computer, cellular phone or smart phone, by connecting diverse information equipments within home such as lighting, gas, and heating equipments with network. Integrated server and wall-pad, which form home network system, have demerits as saying of being high-priced and of needing to implement network infrastructure. This study suggested the intelligent home network system, which uses smart phone of supplementing these merits of home network system. It substituted high-specification input & output equipment in the currently and widely supplied smart phone for display and touch screen, which are user interface part of the existing wall-pad, and implemented the common wall-pad with low cost by concentrating management and control function of home network on smart phone.

• Annual Conference of KIPS
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• 2011.04a
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• pp.46-49
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• 2011

This paper is to implement MoIP platform to send and receive video and audio at the same time by using high-performance Dual Core Processor. Even if Wall-Pad key component of a home network system is released by using embedded processors, it's lacking of performance in terms of multimedia processing and feature of video telephony through which video and voice are exchanged simultaneously. The main reason could be that embedded processors currently being used do not provide enough performance to support both MoIP call features and various home network features simultaneously. In order to solve these problems, Dual processor could be used, but in the other hands it brings another disadvantage of high cost. Therefore, this study is to solve the home automation features and video telephony features by using Dual Core Processor based on ARM 11 Processor and implement the MoIP Wall-Pad which can reduce the board design costs and component costs, and improve performance. The platform designed and implemented in this paper verified performance of MoIP to exchange the video and voice at the same time under the situation of Ethernet network.

• Tribology and Lubricants
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• v.8 no.2
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• pp.73-79
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• 1992

The pressure distribution between the piston pad and the cylinder wall is analyzed to reduce the friction and to get the dynamic stability in the low friction piston. The calculated results indicate that the rectangular pad may reduce the friction in comparison to the square one. And the low friction piston can be stabilized when the pressure difference between the top and bottom of the piston skirt is very small.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2011.06a
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• pp.455-456
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• 2011

• Proceedings of the Korean Society of Computer Information Conference
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• 2021.07a
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• pp.35-36
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• 2021

딥러닝을 이용한 이미지 처리에서 데이터 셋이 반드시 필요하다. 월패드는 널리 보급되는 다양한 성능을 포함한 IoT가전으로 그 기능의 사용을 돕기 위해서는 해당 월패드에 해당하는 매뉴얼을 제공해야 하고 이를 위해 딥러닝을 이용한 월패드 분류를 이용 할 수 있다. 하지만 월패드 중 일부 모델은 화면의 전반사가 매우 심해 기존의 작은 데이터 셋으로는 딥러닝을 이용한 이미지 분류 성능이 좋지 못하다. 본 논문은 이를 해결하기 위해 추가적으로 데이터 셋을 구축하고 이를 이용해 대규모 데이터로 사전 학습된 VGG16, VGG19, ResNet50, MobileNet 등을 이용해 전이학습을 통해 월패드를 분류한다.

• Tribology and Lubricants
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• v.9 no.1
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• pp.22-31
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• 1993

The thermohydrodynamic performance of large tilting pad journal bearings is analyzed, taking into account the three dimensional variation of lubricant viscosity. The eddy viscosity model based on wall formula is applied. The effects of temperature rise and turbulence on the bearing performance are studied in comparision with the isothermal or the laminar analysis. It is shown that these effects have significant influence on temperature distribution, load capacity and power loss of the bearing.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2011.05a
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• pp.351-354
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• 2011

Home network system makes it available for controlling inside home and for controlling from outside as well with personal computer, cellular phone or smart phone, by connecting diverse information equipments within home such as lighting, gas, and heating equipments with network Integrated server and wall-pad, which form home network system, have demerits as saying of being high-priced and of needing to implement network infrastructure. Also, there is also risk, which is unavailable for controlling equipments inside home, or can cause malfunction of equipments given the occurrence of a problem about integrated server This study suggested the intelligent home network system, which uses smart phone of supplementing these merits of home network system. It substituted high-specification input & output equipment in the currently and widely supplied smart phone for display and touch screen, which are user interface part of the existing wall-pad, and suggest the common home network system by concentrating management and control function of home network on smart phone.