Economic-based approach for predicting optimal water pipe renewal period based on risk and failure rate

Kibum Kim,Jeewon Seo,Jinseok Hyung,Taehyeon Kim,Jaehag Kim,Jayong Koo 대한환경공학회 2019 Environmental Engineering Research Vol.24 No.1

This study suggests a method for calculating the benefits of water pipe renewal based on an estimate of the water supply suspension risk. The proposed method based on five benefit items is more direct and specific than other benefit estimation methods. In addition, a methodology evaluating the economics of pipe renewal based on pipe failure rate is proposed for estimating the optimal renewal point from an economic perspective. By estimating the optimal renewal period based on a yearly benefit cost ratio per pipe in a case study area, it was possible to draft an optimal renewal plan for the subject region from an economic perspective. Compared with other methodologies, a reasonable optimal renewal period was derived from an economic point of view. The result of this study may be used to develop future water pipe renewal plans. Moreover, the proposed methodologies and results derived from this study can be applied to asset management plans.

Fermentation of Oak Tree Sawdust affects Peanut Sprout Growth and Fungal Microbiomes

Kibum Kim,Kisung Ko,Yang Joo Kang,Taewon Yang,Soyeon Oh,Seung-Won Lee,Moon-Soo Kim,Young Koung Lee,Mi Kyung Kim 한국원예학회 2023 원예과학기술지 Vol.41 No.1

Supply chain surplus: comparing conventional and sustainable supply chains

Kim, Kibum,Jeong, Bongju,Jung, Hosang Springer-Verlag 2014 Flexible services and manufacturing journal Vol.26 No.1

Functional analysis of plant-derived HER2-positive breast cancer recombinant antibody anti-HER2 VHH-FcK

Kibum Kim,Se Ra Park,Yang Joo Kang,Hyun Joo Woo,Seung Ho Lee,Kisung Ko 한국당과학회 2022 한국당과학회 학술대회 Vol.2022 No.07

Overexpression of human epidermal growth factor receptor type 2 (HER2) protein is one of the prognostic factors to diagnose breast cancer, and HER2 is proto-oncogene located on chromosome 17, and overexpression of this oncogene plays an essential role in the growth and progression of certain violent types of breast cancer. This study demonstrated the expression of the anti-HER2 camelid single domain antibody VHH in tobacco plant. And we confirmed the function of recombinant VHH for the treatment of breast cancer. The anti-HER2 VHH was fused to human IgG Fc domain along with KDEL endoplasmic reticulum (ER) (VHH-FcK) in a gene expression cassette. The plant gene expression cassette was transferred to tobacco plants using Agrobacterium-mediated transformation. The transformants were screened by PCR and western blots. ELISA confirmed the binding activity of purified anti-HER2 VHH-FcK to HER2 positive breast cancer cell line BT-474. In conclusion, this study verified the possibility of anti-HER2 VHH-FcK as a therapeutic agent and suggests that the anti-breast cancer anti-HER2 VHH-FcK can be expressed, properly assembled and purified from plant expression system, which can be as an alternative system for antibody production.

A Natural Remote Target Selection Technique on Large Displays

Kibum Kim,Yang Gao,Xiangshi Ren 한국HCI학회 2014 한국HCI학회 학술대회 Vol.2014 No.12

In order to simplify the selection of remote targets on large displays, a novel technique called ShifTable is presented in this paper, which is similar to natural selection motion. ShifTable starts with users pushing toward the desired target; the interface shifts against the push direction at a faster speed than the user’s hand; the user selects the target when it comes near; the interface goes back to the initial location, ending ShifTable. Besides, during the selection, ShifTable can be undone whenever user double-taps the interface. In the design of ShifTable, we took impact of gestures on musculoskeletal system into consideration and made the technique as simple as possible. In summary, ShifTable had obvious advantages over the existing techniques on large displays for its simplicity and naturalness.

Sustainable Supply Chain

Kibum Kim,Bongju Jeong 대한산업공학회 2008 대한산업공학회 추계학술대회논문집 Vol.2008 No.11

This research is motivated by two search questions on supply chain. What will be the supply chain value in the future and how can we increase the future supply chain value continually? For answer to these questions, we propose the concept, theory, and framework of sustainable supply chain (SSC). Firstly, we newly define the SSC and its value. SSC is a new paradigm that can generate new supply chain value by managerial innovation to not only maximize the supply chain profitability but also minimize its environmental and social impact. When the corporate sustainable management is popular among the global companies, we explain the reason why the scope of sustainable management should be expanded from companywide to supply chain using some cases. Secondly, we propose the SSC theory, which describes the essentiality of paradigm shift from conventional supply chain (CSC) to SSC. We prove the SSC theory based on the concept of externality and social surplus in welfare economics. Finally, the SSC framework is presented. We depict the SSC framework as SSC house visually and explain that sustainable procurement and sustainable consumption is a necessary and sufficient condition of SSC. Even if there are so many features of supply chain to increase its future competitiveness in the past researches, we assert that SSC can be the right answer to our research questions.

Metal-free, polyether-mediated H₂-release from ammonia borane: roles of hydrogen bonding interactions in promoting dehydrogenation

Kim, Yongmin,Baek, Hyunjae,Lee, Jin Hee,Yeo, Shinyoung,Kim, Kibum,Hwang, Son-Jong,Eun, Bit,Nam, Suk Woo,Lim, Tae-Hoon,Yoon, Chang Won The Royal Society of Chemistry 2013 Physical chemistry chemical physics Vol.15 No.45

<P>Polyetheral additives were found to be efficient promoters to enhance the rate of H<SUB>2</SUB>-release from ammonia borane (AB) at various temperatures. In particular, tetraethylene glycol dimethyl ether (T4EGDE, 29 wt% relative to AB + T4EGDE) exhibited significantly improved activities for AB dehydrogenation, with the material-based hydrogen storage capacity of 10.3 wt% at 125 °C within 40 min. <I>In situ</I> FT-IR spectroscopy indicated the formation of B-(cyclodiborazanyl)amino-borohydride (BCDB), borazine, and μ-aminodiborane as gaseous byproducts. In addition, <SUP>11</SUP>B nuclear magnetic resonance (NMR) spectroscopy further revealed that diammoniate of diborane (DADB) was initially formed to give polyaminoborane as liquid and/or solid spent-fuel, consistent with previous reports. Density Functional Theory (DFT) calculations suggested that hydrogen bonding interactions between AB and a polyetheral promoter initially played an important role in increasing the reactivity of B–H bonds of AB by transferring electron density from oxygen atoms of the promoter into B–H bonds of AB. These partially activated, hydridic B–H bonds were proposed to help promote the formation of diammoniate of diborane (DADB), which is considered as a reactive intermediate, eventually enhancing the rate of H<SUB>2</SUB>-release from AB. In addition, our <I>in situ</I> solid state <SUP>11</SUP>B magic angle spinning (MAS) NMR measurements further confirmed that the rate of DADB formation from AB with a small quantity of T4EGDE was found to be much faster than that of pristine AB even at 50 °C. This metal-free method for H<SUB>2</SUB>-release from AB with an added, small quantity of polyethers would be helpful to develop feasible hydrogen storage systems for long-term fuel cell applications.</P> <P>Graphic Abstract</P><P>A metal-free method for H<SUB>2</SUB>-release from AB with addition of polyethers would be helpful to develop feasible hydrogen storage systems. <IMG SRC='http://pubs.rsc.org/services/images/RSCpubs.ePlatform.Service.FreeContent.ImageService.svc/ImageService/image/GA?id=c3cp52591k'> </P>

A Stock Prediction System Based on News and Twitter

Kibum Kim,Seungmin Yang,Dongyoung Kim,Jeawon Park,Jaehyun Choi 보안공학연구지원센터 2016 International Journal of Software Engineering and Vol.10 No.6

As more concerns by the public about stock markets grow bigger, the more the people’s attention is drawn to a systematic method to predict stock prices that fluctuate. More importantly, as the modern stock markets react very sensitively to information for their stock prices, it is very important to predict the prices for investors. For that, this study shall utilize opinion mining and mechanical learning, which are widely used to analyze the meaning of information in systematic ways on analyzing data from news and Twitter to suggest a system that predicts stock prices. The stock price prediction system consists of a data collector, vocabulary analyzer, sentiment analyzer and stock price predictor. The stock price predicting steps consist of collecting contents of news and Twitter, extracting vocabularies by using morpheme analysis, executing sentiment analysis then predicting stock prices via mechanical learning. In order to evaluate the usefulness of the suggested method, we used the stock data for the last whole year on 7 companies in the bio industry that are most sensitive to information for the tests, and the accuracy of the results showed above 80%. The results of this study can be regarded as one of the methods to effectively predict stock prices of companies from various backgrounds in this modern information era that changes dramatically every moment.

Multi-objects Detection and Segmentation for Scene Understanding Based on Texton Forest and Kernel Sliding Perceptron

Kibum Kim,Jalal Ahmad,Ahmed Abrar 대한전기학회 2021 Journal of Electrical Engineering & Technology Vol.16 No.2

In the recent days, scene understanding has become hot research topic due to its real usage at perceiving, analyzing and recognizing diff erent dynamic scenes coverage during GPS monitoring system, drone’s targets, auto-driving and tourist guide. The goal of scene understanding is to make machines look at like humans do, which means the accurate recognition of the contents in scenes and during location observations. Then, we perform two operations such as (1) to perfectly describe the whole environment and (2) to describe what action is going on in the environment. Due to complex scene analysis, recognition of multiple objects and the relation between the objects remain as a challenging part of the research. In this paper, we have proposed a novel approach for the scene understanding that integrates multiple objects detection/segmentation and scene labeling using Geometric features, Histogram of oriented gradient and scale invariant feature transform descriptors. The complete procedure of the purposed model includes resizing and noise removing of images from the dataset, multiple object segmentation and detection, feature extraction and multiple object recognition using multi-layer kernel sliding perceptron. After that, scene recognition is achieved by using multi-class logistic regression. Finally, two datasets such as MSRC and UIUC sports are used for the experimental evaluation of our proposed method. Our purposed method accurately handles the complex objects physical exclusion and objects occlusion. Therefore, it outperforms in term of accuracy compared with other state-of-the-art approaches.

Analysis of Effects of Segmentation Cracks on Durability Enhancement of APS TBC

Kibum Park(박기범),Damhyun Kim(김담현),Keekeun Kim(김기근),Namgyu Jun(전남규),Jongmin Lee(이종민),Chang-Sung Seok(석창성) 대한기계학회 2021 대한기계학회 춘추학술대회 Vol.2021 No.11

Thermal barrier coating(TBC) is a coating technology used to protect key components of gas turbine from high-temperature operating conditions, and the durability of TBC has emerged as a major issue since the operating temperatures are getting higher for better efficiencies. The failure of TBCs is caused of the thermal stresses either due to temperature change or due to the growth of the oxide layer(thermally grown oxide, TGO) which forms and grows at high service temperature. In this study, the effect of segmentation cracks formed in the TBC on stress reduction and durability improvement was analyzed in detail. Finite element analysis simulating the operating conditions was conducted using a 3D unit cell model for TBC, and the stress and geometry changes of interlayer were investigated. As a result, segmentation cracks inhibited the increases of the interface rumpling during the TGO growth, and also reduced the magnitude of the stress accompanying at this process. Additionally, through the thermal fatigue test, the suppression of increases of interfacial rumpling and improvement of durability were confirmed in the presence of segmentation cracks.