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A Study on Developing Profit Model for Remodelling of Apartment Houses (공동주택 리모델링을 위한 수익모델의 개발 연구)

  • An, Min-Jae;Pyo, Ji-Myeong;Kim, Ui-Sik
    • Journal of the Korea Institute of Building Construction
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    • v.4 no.3
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    • pp.101-108
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    • 2004
  • The physical factor having a great influence among components of making values of profit model in apartment houses is equilibrium change of house and this study suggests an alternative of remodelling. It sets profit models including model dividing household of large scale into that of small scale using value making factor of apartment house and spatial composition techniques and model integrating households of small scale and converting them into those of large scale and finds that its economy is good as over 'average', evaluative value of economy is reduced as discount rate increases and economy of remodelling is superior.

A Network Approach to Check Redundancies and Inconsistencies of Knowledge-Based System Rules (네트워크를 이용한 지식베이스시스템 규칙들의 중복 및 모순검출에 관한 연구)

  • 최성호;박충식;김재희;신동필
    • Journal of the Korean Institute of Telematics and Electronics B
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    • v.29B no.1
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    • pp.18-25
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    • 1992
  • In this paper, a rule checker which aids in composing a consistent knowledge base by checking redundancies and inconsistencies in a knowledge base is proposed. The proposed algorithm checks the rules by representing the rule connections as a network . The standard model of the rules adapted in this algorithm is in the Conjunctive Normal Form which includes NOT's, and rules of conventional expert system can be checked by converting them into the standard form by a rule form at converter. When compared with Ginsberg's KB-reducer which is conceptually most similar to the proposed algorithm among existing methods,it is shown by a computer simulation that with 360 rules, the checking time is three times faster and the rate increased as the number of rules increased, but the total memory requirement of the proposed agorithm is 1.2 times larger. The proposed algorithm has further advantages in that it can check circular rule chains and can find the paths of the redundant and inconsistent rules.

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Digitalization of Root Technology using Knowledge Management System (지식관리시스템을 활용한 뿌리기술의 디지털화)

  • Bae, SungMin;HEO, Young-Moo;Yoon, Gil-Sang
    • Design & Manufacturing
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    • v.9 no.2
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    • pp.6-9
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    • 2015
  • The objective of manufacturing knowledge sharing platform is to convert the production experience like a worker's know-how into quantitative values, to construct database of the process technologies and to share the technologies systematically via web portal service. In addition, the knowledge sharing platform contains the total production processes of automobile and mobile products such as information of experts, facilities, and cutting-edge R&D outputs. Automobile, telecommunication mobile, and semiconductors account for a large amount of Korea's export industry rate. These industries need production technology which is a result of converting worker's know-how and R&D. Manufacturing knowledge portal aims to enable transforming production experience such as worker's know-how into standardized form for constructing database and sharing technologies systematically. Manufacturing knowledge portal can contribute to small and mid-sized manufacturing companies with further improvements.

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Radar Signal Processor Design Using FPGA (FPGA를 이용한 레이더 신호처리 설계)

  • Ha, Changhun;Kwon, Bojun;Lee, Mangyu
    • Journal of the Korea Institute of Military Science and Technology
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    • v.20 no.4
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    • pp.482-490
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    • 2017
  • The radar signal processing procedure is divided into the pre-processing such as frequency down converting, down sampling, pulse compression, and etc, and the post-processing such as doppler filtering, extracting target information, detecting, tracking, and etc. The former is generally designed using FPGA because the procedure is relatively simple even though there are large amounts of ADC data to organize very quickly. On the other hand, in general, the latter is parallel processed by multiple DSPs because of complexity, flexibility and real-time processing. This paper presents the radar signal processor design using FPGA which includes not only the pre-processing but also the post-processing such as doppler filtering, bore-sight error, NCI(Non-Coherent Integration), CFAR(Constant False Alarm Rate) and etc.

Obesity and chronic kidney disease: prevalence, mechanism, and management

  • Yim, Hyung Eun;Yoo, Kee Hwan
    • Clinical and Experimental Pediatrics
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    • v.64 no.10
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    • pp.511-518
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    • 2021
  • The prevalence of childhood obesity is increasing worldwide at an alarming rate. While obesity is known to increase a variety of cardiovascular and metabolic diseases, it also acts as a risk factor for the development and progression of chronic kidney disease (CKD). During childhood and adolescence, severe obesity is associated with an increased prevalence and incidence of the early stages of kidney disease. Importantly, children born to obese mothers are also at increased risk of developing obesity and CKD later in life. The potential mechanisms underlying the association between obesity and CKD include hemodynamic factors, metabolic effects, and lipid nephrotoxicity. Weight reduction via increased physical activity, caloric restriction, treatment with angiotensin-converting enzyme inhibitors, and judicious bariatric surgery can be used to control obesity and obesity-related kidney disease. Preventive strategies to halt the obesity epidemic in the healthcare community are needed to reduce the widespread deleterious consequences of obesity including CKD development and progression.

Oriented object detection in satellite images using convolutional neural network based on ResNeXt

  • Asep Haryono;Grafika Jati;Wisnu Jatmiko
    • ETRI Journal
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    • v.46 no.2
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    • pp.307-322
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    • 2024
  • Most object detection methods use a horizontal bounding box that causes problems between adjacent objects with arbitrary directions, resulting in misaligned detection. Hence, the horizontal anchor should be replaced by a rotating anchor to determine oriented bounding boxes. A two-stage process of delineating a horizontal bounding box and then converting it into an oriented bounding box is inefficient. To improve detection, a box-boundary-aware vector can be estimated based on a convolutional neural network. Specifically, we propose a ResNeXt101 encoder to overcome the weaknesses of the conventional ResNet, which is less effective as the network depth and complexity increase. Owing to the cardinality of using a homogeneous design and multi-branch architecture with few hyperparameters, ResNeXt captures better information than ResNet. Experimental results demonstrate more accurate and faster oriented object detection of our proposal compared with a baseline, achieving a mean average precision of 89.41% and inference rate of 23.67 fps.

A Frequency Domain based Positioning Method using Auto Regressive Modeling in LR-WPAN (주파수 영역상의 AR 모델링 기반 이용한 LR-WPAN용 무선측위기법)

  • Hong, Yun-Gi;Bae, Seung-Chun;Choi, Sung-Soo;Lee, Won-Cheol
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.34 no.6C
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    • pp.561-570
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    • 2009
  • Ultra-wideband communication systems based on impulse radio have merits that are possible for the high data rate transmission, high resolution ranging are positioning system. Conventionally, in order to accomplish these features, the high-speed ADC (Analog to Digital Convertor) is necessary to apply radio determination system operating in time domain. However, considering low rate - wireless personal area network (LR-WPAN) aims to low-cost hardware implementation, the expensive ADC converting GHz sampling per second is not appropriate. So, this paper introduces a low complex AR (Auto Regressive) model based non-coherent ranging scheme operating in frequency domain with using low-speed ADC utilizing analog Voltage Control Oscillator (VCO) mode for the frequency domain transformation. To verify the superiority of the proposed ranging and location algorithm working in frequency domain, the suggested IEEE 802.15.4a TG channel model is used to exploit affirmative features of the proposed algorithm with conducting the simulation results.

Removal characteristics of NOM in advanced water treatment using ceramic MF membrane (세라믹막(MF) 고도정수처리에서 NOM 제거 특성)

  • You, Sang-Jun;Park, Sung-Han;Lim, Jae-Lim;Suh, Jeong-Min;Jang, Seong-Ho;Hong, Sung-Chul;Yi, Pyong-In
    • Journal of Korean Society of Water and Wastewater
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    • v.28 no.4
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    • pp.367-376
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    • 2014
  • This study assessed the removal efficiency of NOM which is known as the precursors of DBPs in advanced water treatment using the ceramic membrane filtration, introduced the first in the nation at the Y water treatment plant (WTP). It is generally well-known that the removal of NOM by MF Membrane is very low in water treatment process. But, the result of investigation on removal efficiency of NOM in advanced water treatment using the ceramic membrane was different as follows. The removal rate of organic contaminant by the ceramic membrane advanced water treatment was determined to be 65.5% for the DOC, 85.8% for UV254, and 77 to 86% for DBPFP. The removal rate of pre-ozonation was found to be 6 to 15% more effective compared with the pre-chlorination. The removal rate of DOC and $UV_{254}$ in biological activated carbon(BAC) process was over 50% and 75%, respectively although the rate was decreased 10 ~ 20% according to analysis items in converting from GAC to BAC.

A Study on the Synthesis of CH4 from CO2 of Biogas Using 40 wt% Ni-Mg Catalyst: Characteristic Comparison of Commercial Catalyst and 40 wt% Ni Catalyt (40 wt% Ni 촉매에서 바이오가스 중 CO2로부터 메탄제조에 관한 연구: Commercial Catalyst와의 특성 비교분석)

  • HAN, DANBEE;BAEK, YOUNGSOON
    • Transactions of the Korean hydrogen and new energy society
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    • v.32 no.5
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    • pp.388-400
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    • 2021
  • Power to gas (P2G) is one of the energy storage technologies that can increase the storage period and storage capacity compared to the existing battery type. One of P2G technology produces hydrogen by decomposing water from renewable energy (electricity) and the other produces CH4 by reacting hydrogen with CO2. This study is an experimental study to produce CH4 by reacting CO2 of biogas with hydrogen using a 40 wt% Ni-Mg-Al catalyst and a commercial catalyst. Catalyst characteristics were analyzed through H2-TPR, XRD, and XPS instruments of 40% Ni catalyst and commercial catalyst. The effect on the CO2 conversion rate and CH4 selectivity was analyzed, and the activities of a 40% Ni catalyst and a commercial catalyst were compared. As a result of experiment, In the case of a 40 wt% catalyst, the maximum CO2 conversion rate showed 77% at the reaction temperature of 400℃. Meanwhile, the commercial catalyst showed a maximum CO2 conversion rate of 60% at 450℃. When 50% of CO was added to the CO2 methanation reaction, the CO2 conversion rate was increased by about 5%. This is considered to be due to the atmosphere in which the CO reaction can occur without the process of converting to CH4 after forming carbon and CO as intermediates in terms of the CO2 mechanism on the catalyst surface.

Biological Activity of Extracts from Garden Sage (Salvia officinalis L.) (가든 세이지(Salvia officinalis L.) 추출물의 생리활성 탐색)

  • Cho, Young-Je;Ju, In-Sik;Yun, Dong-Hyuck;Chun, Sung-Sook;An, Bong-Jeun;Kim, Jeung-Hoan;Kim, Myung-Uk
    • Journal of Applied Biological Chemistry
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    • v.51 no.6
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    • pp.296-301
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    • 2008
  • The extracts from Salvia officinalis were studied for antioxidative activities and inhibitory activities against angiotensin converting enzyme(ACE) and xanthine oxidase (XOase). Total phenolic compounds were found as 22.28, 26.3, 24.63, and 28.22 mg/g in the water, 60% ethanol, 60% methanol and 60% acetone extracts, respectively. The antioxidant activities of Salvia officinalis extracts were measured as $64.4{\pm}1.5%$ at $200\;{\mu}g/ml$ on EDA, inhibition rate on ABTS of $96.9{\pm}0.2%$, antioxidant protection factor of $2.30{\pm}0.16$ PF and TBARS was $0.6{\pm}0.05$ (${\times}100\;{\mu}M$) in the control and $0.28{\pm}0.02$ (${\times}100\;{\mu}M$) in 60% ethanol extracts. Inhibitory activities was the ACE of 75.50% and XOase 100% in 60% ethanol extracts. The 60% ethanol extracts from Salvia officinalis exhibited antimicrobial activities against Helicobacter pylori such as 13 mm of clear zone and inhibition rate of 63.4% with $200\;{\mu}g/ml$ of phenolics content. Rosemarinic acid was the most abundant phenolic compounds as analyzed by HPLC. The results suggest that the 60% ethanol extracts from Salvia officinalis L. will be useful as natural antioxidants and functional foods.