• The Journal of Korean Institute of Communications and Information Sciences
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• v.32 no.12B
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• pp.779-789
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• 2007

This paper presents an architecture of UPnP Bridge for interconnecting Non-lP devices with heterogeneous network interfaces to UPnP devices on UPnP networks. The proposed UPnP Bridge provides a Virtual UPnP device that performs generic UPnP Device's functionalities on behalf of Non-lP device. This paper defines 3 types of descriptions, Device Description, Message Field Description, and Extended UPnP Service Description in order to reduce the amount of effort required to connect a non-lP device with a new interface or message format to UPnP network. By these three types of descriptions and Message conversion module, developers for Non-lP devices can easily connect the devices to UPnP network without additional programming. So UPnP control point controls Non-lP devices as generic UPnP device. Some experiments validate the proposed architecture, which are performed on a test bed consisting of UPnP network the proposed bridge, and non-lP devices with CAN and RS232 interfaces.

• Journal of the Institute of Electronics Engineers of Korea SD
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• v.48 no.4
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• pp.39-50
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• 2011

In this paper, we presents a CDR circuit for $2^{nd}$-generation AiPi+, one of the Intra-panel Interface. The speed of the proposed clock and data recovery is increased to 1.25 Gbps compared with that of AiPi+. The DLL-based CDR architecture is used to generate the multi-phase clocks. We propose the simple scheme for frequency detector (FD) to mitigate the harmonic-locking and reduce the complexity. In addition, the duty cycle corrector that limits the maximum pulse width is used to avoid the problem of missing clock edges due to the mismatch between rising and falling time of VCDL's delay cells. The proposed CDR is implemented in 0.18 um technology with the supply voltage of 1.8 V. The active die area is $660\;{\mu}m\;{\times}\;250\;{\mu}m$, and supply voltage is 1.8 V. Peak-to-Peak jitter is less than 15 ps and the power consumption of the CDR except input buffer, equalizer, and de-serializer is 5.94 mW.

• Journal of the Institute of Electronics and Information Engineers
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• v.53 no.12
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• pp.147-151
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• 2016

Automatic exposure control (AEC) is frequently used in many hospitals for Standing Whole Spine examination which is able to control radiation dose with respect to the body type such as body mass index (BMI) and we can measure dose area product (DAP) based on respective patient information. However, few studies have been conducted organ absorbed dose evaluation based on location of patient organ. The purpose of this study was to evaluate the relationships between BMI and organ absorbed dose along with location of patient organ. For that purpose, we calculated absorbed dose with selected 5 patient organ (thyroid, breast, heart, kidney, and pancreas) using a PCXMC simulation tool with measured DAP. According to the results, measured DAP increases with BMI and organ absorbed dose decreases with BMI in anterior organs such as thyroid, breast, and heart. On the other hand, there is no correlation between organ absorbed dose and BMI in posterior organs such as kidney and pancreas. In conclusion, our results demonstrated that the radiation effects are different with respect to BMI and location of patient organ in Standing Whole Spine examination.

• Journal of the Korean Society of Food Science and Nutrition
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• v.36 no.12
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• pp.1583-1588
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• 2007

PC-camera based automatic titration was executed in the acidity analyses of vinegar, milk and Takju. The average hue value (Havg) of 144 pixels in the image of the sample solution being titrated was computed and followed up at regular time intervals during titration in order to detect the titration end point. The Havg increase of 5 degrees from the first Havg was regarded as reaching at the end point in the cases of vinegar and milk. The Havg increase set up to detect the end point was 70 degrees in the case of Takju. In the case of vinegar, the volume of added titrant (0.1 N NaOH) was $21.409{\pm}0.066mL$ in manual titration and $21.403{\pm}0.055mL$ in automatic titration (p=0.841). In the case of milk, it was $1.390{\pm}0.025mL$ in manual titration and $1.388{\pm}0.027mL$ in automatic titration (p=0.907). In the case of Takju, it was $4.738{\pm}0.028mL$ in manual titration and $4.752{\pm}0.037mL$ in automatic titration (p=0.518). The high p values suggested that there were good agreements between manual and automatic titration data in all three food samples. The automatic method proposed in this article was considered to be applicable not only to acidity titrations but also to most titrations in which the end points can be detected by color change.

• Journal of Bio-Environment Control
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• v.9 no.1
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• pp.66-72
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• 2000

Effects of irrigation control by time and integrated solar radiation on musknelon quality in perlite culture were investigated. Sugar content of melon flesh was high in the irrigation treatment at the following times 6：00, 8：00, 10：00, 11：00, 12：00, 12：30, 13：00, 13：30, 14：00, 14：30, 15：00, 16：00, and 17：00(T-2), compared to the irrigation treatment at every hour from 6：00 to 18：00(T-1) within the irrigation experiment controlled by time. Within the irrigation experiment controlled by integrated solar radiation, sugar content was as high as 15.7(Brix$^{\circ}$) in the 240Wh.m$^{-2}$ , compared to the 180, the 200, and the 220Wh.m$^{-2}$ . Fruit firmness was low in T-2 within the Irrigation experiment by time and in the 220Wh.m$^{-2}$ within the irrigation experiment by integrated solar radiation. Fruit size was smaller in the treatment controlled by integrated solar radiation than by the time treatment. Fruit weight was the heaviest in T-1. The weight of the shoot except for the fruit was lower in treatment of irrigation by integrated solar radiation than by time. In conclusion it is suggested that the appropriate integrated solar radiation pet each irrigation cycle should be 180~20Wh.m$^{-2}$ in the early growing stage, and then gradually increased to 240Wh.m$^{-2}$ from net formation to harvest time.

• Journal of the Korean Society of Radiology
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• v.11 no.4
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• pp.183-188
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• 2017

In recent years, the automatic remote control controller of the gamma ray irradiator malfunctions, and radiation workers are continuously exposed to radiation exposure accidents. In the non-destructive testing field, much time and resources are invested in establishing a radioactive source monitoring system in order to prevent potential incidents of radiation. In this study, the gamma-ray response properties of the lead monoxide-based radiation detector were estimated through monte carlo simulation as a previous study for the development of a radioactive source location monitoring system that can be applied universally to various non-destructive testing equipment. As a result of the study, the optimized thickness of the radiation detector varies according to the gamma-ray energy emitted from the radioactive source, and the optimized thickness gradually increases with increasing energy. In conclusion, the optimized thickness of the lead monoxide-based radiation detector was $200{\mu}m$ for the Ir-192, $150{\mu}m$ for the Se-75 and $300{\mu}m$ for the Co-60. Based on these results, the appropriate thickness of lead monoxide-based radiation detector considering secondary-electron equilibrium was evaluated to be $300{\mu}m$ for general application. These results can be used as a basic data for determining the appropriate thickness required in the radiation detector when developing a radiation source location monitoring system for universal application to various non-destructive testing equipment in the future.

• Journal of the Korean Society of Radiology
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• v.11 no.6
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• pp.459-466
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• 2017

The purpose of this study was to evaluate the difference of dose and image quality according to the material of the additional filter plate by selecting copper and nickel. First, the absorbed dose was measured using a Rando phantom setting the additional filter plates of copper and nickel None, 0.1 mm, 0.2 mm, and 0.3 mm under 120 kVp, and 6.3 mAs. Second, We acquired image according to filter thickness of copper and nickel. by changing the tube voltage of 90 kVp, 100 kVp, 110 kVp, 120 kVp and exposure indexes of 400, 800 and 1600. Third, we obtained the SNR and CNR values using the Image J program and evaluated quantitatively and then evaluated image quality. As a result, Absorbed dose measurements showed that nickel was higher than copper, and the absorbed dose decreased as the thickness increased(p<0.05). Furthermore, Quantitative analysis of images showed no significant difference between the two images according to change the voltage and the exposure index(p>0.05). In conclusion, this study confirms that the nickel addition plate can maintain the current image quality while reducing the exposure dose compared to copper.

• Fire Science and Engineering
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• v.24 no.6
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• pp.61-68
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• 2010

In this paper, a research and development result for the implementation of single station fixed temperature detector for residential fire prevention is described. The detector was developed for the certification in Japanese market because of very low domestic market situation. It is in the situation that there is no other regulation especially for residential detectors in Korea, Japanese case has been reviewed. Investigation of domestic legal circumstances and a comparative study for the test standard owned by KFI (Korea Institute of Fire Industry & Technology) and JFEII (Japan Fire Equipment Inspection Institute) respectively are also indicated. The detector alarms with a buzzer and an indicating LED. In the implementation ultra low power MCU(Micro Controller Unit) is applied to control the sleeping state and the monitoring state properly with low current consumption. To sense the temperature fast response thermistor is adopted in the design of fixed temperature residential detector. Automatic test function and alarm stop function are also considered in the design. The major factors which influence to current consumption are explained for the purpose of design reference. Main electronics circuit parts related to it's characteristics of the detector are described. It is explained that the measured current and experimental result of the battery discharge can be met over 10 years operation.

• Journal of the Korea Society of Computer and Information
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• v.16 no.12
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• pp.1-10
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• 2011

As requirements of embedded system get complicated, the tool for analyzing the reliability of embedded software is being needed. A probabilistic modeling is used as the way of analyzing the reliability of a software and to apply it to embedded software controlling multiple devices. So, it is necessary to specialize that to embedded software. Also, existing reliability analyzers should measure the transition probability of each condition in different ways and doesn't consider reusing the model once used. In this paper, we suggest a reliability analyzer for embedded software using embedded software Markov chin model and a unit testing tool. Embedded software Markov chain model is model specializing Markov chain model which is used for analyzing reliability to an embedded software. And a unit testing tool has host-target structure which is appropriate to development environment of embedded software. This tool can analyze the reliability more easily than existing tool by automatically measuring the transition probability between units for analyzing reliability from the result of unit testing. It can also directly apply the test result updated by unit testing tool by representing software model as a XML oriented document and has the advantage that many developers can access easily using the web oriented interface and SVN store. In this paper, we show reliability analyzing of a example by so doing show usefulness of reliability analyzer.

• Journal of the Korean Data and Information Science Society
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• v.28 no.6
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• pp.1427-1435
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• 2017

The smart farm is a remarkable system because it utilizes information and communication technologies in agriculture to bring high productivity and excellent qualities of crops. It automatically measures the growth environment of the crops and accumulates huge amounts of environmental information in real time growing in smart farms using multi-variable control of environmental factors. The statistical model using the collected big data will be helpful for decision making in order to control optimal growth environment of crops in smart farms. Using data collected from a smart farm of tomato, we carried out multiple regression analysis to determine the relationship between yield and environmental factors and to predict yield of tomato. In this study, appropriate parameter modification was made for environmental factors considering tomato growth. Using these new factors, we fit the model and derived the optimal environmental factors that affect the yields of tomato. Based on this, we could predict the yields of tomato. It is expected that growth environment can be controlled to improve tomato productivities by using statistical model.