• Title/Summary/Keyword: ITM

Search Result 100, Processing Time 0.019 seconds

Fine localization of a new cataract locus, Kec, on mouse chromosome 14 and exclusion of candidate genes as the gene that causes cataract in the Kec mouse

  • Kang, Min-Ji;Cho, Jae-Woo;Kim, Jeong-Ki;Kim, Eun-Min;Kim, Jae-Young;Cho, Kyu-Hyuk;Song, Chang-Woo;KimYoon, Sun-Joo
    • BMB Reports
    • /
    • v.41 no.9
    • /
    • pp.651-656
    • /
    • 2008
  • A mouse with cataract, Kec, was generated from N-ethyl-N-nitrosourea (ENU) mutagenesis. Cataract in the Kec mouse was observable at about 5 weeks after birth and this gradually progressed to become completely opaque by 12 weeks. Dissection microscopy revealed that vacuoles with a radial or irregular shape were located primarily in the cortex of the posterior and equatorial regions of the lens. At the late stage, the lens structure was distorted, but not ruptured. This cataract phenotype was inherited in an autosomal recessive manner. We performed a genetic linkage analysis using 133 mutant and 67 normal mice produced by mating Kec mutant (BALB/c) and F1 (C57BL/6 $\times$ Kec) mice. The Kec locus was mapped to the 3 cM region encompassed by D14Mit34 and D14Mit69. In addition we excluded coding sequences of 9 genes including Rcbtb2, P2ry5, Itm2b, Med4, Nudt15, Esd, Lcp1, Slc25a30, and 2810032E02Rik as the candidate gene that causes cataract in the Kec mouse.

A Study on Pipe Spool considering Workspace based on Genetic Algorithm (유전 알고리즘 기반의 작업공간을 고려한 배관 스풀에 관한 연구)

  • Yu, Seong-Sang;Lee, Kyung-Ho;Lee, Jung-Min;Nam, Byeong-Wook;Kim, Hyun
    • Journal of the Computational Structural Engineering Institute of Korea
    • /
    • v.29 no.1
    • /
    • pp.77-83
    • /
    • 2016
  • Pipe working is consist of design, making and installation. Pipe line is consist of spool pipes which are made in fabrication shop. And these spool pipes installation in shipyard. Spool pipes are designed based 2D Drawings(ISO Drawing), so spool pipes are not considered working area, that wake decreasing working efficiency and delay working time. In this paper, suggest make spool pipe design method using analysis working area about 3D CAD model and genetic algorithm.

Preparation and Gas Characterization of Poly(phenylene oxide) Containing Imidazolium (이미다졸륨을 포함하는 폴리페닐렌옥사이드 고분자 제조 및 기체 특성평가)

  • Son, Tae Yang;Jo, Jin Woo;Kim, Ji Hyeon;Kim, Tae Hyun;Tocci, Elena;Nam, Sang Yong
    • Membrane Journal
    • /
    • v.27 no.6
    • /
    • pp.528-535
    • /
    • 2017
  • In this study, halogen element was introduced into polyphenylene oxide polymer using bromination reaction, and then halogen element was replaced with imidazolium. Imidazolium corporated polyphenylene oxide polymer was synthesized and the synthesis was confirmed by various instrumental characterization. In addition, gas permeation properties of $O_2$, $N_2$, $CO_2$ were studied with different imidazolium contents. As the content of imidazolium increased, the ion exchange capacity increased and the mechanical strength decreased. The gas permeance showed a tendency to decrease slightly with increaing imidazolium contents. Whereas, it was confirmed that the tendency of $CO_2/N_2$ ideal selectivity increased as the imidazolium contents increased.

VM Scheduling for Efficient Dynamically Migrated Virtual Machines (VMS-EDMVM) in Cloud Computing Environment

  • Supreeth, S.;Patil, Kirankumari
    • KSII Transactions on Internet and Information Systems (TIIS)
    • /
    • v.16 no.6
    • /
    • pp.1892-1912
    • /
    • 2022
  • With the massive demand and growth of cloud computing, virtualization plays an important role in providing services to end-users efficiently. However, with the increase in services over Cloud Computing, it is becoming more challenging to manage and run multiple Virtual Machines (VMs) in Cloud Computing because of excessive power consumption. It is thus important to overcome these challenges by adopting an efficient technique to manage and monitor the status of VMs in a cloud environment. Reduction of power/energy consumption can be done by managing VMs more effectively in the datacenters of the cloud environment by switching between the active and inactive states of a VM. As a result, energy consumption reduces carbon emissions, leading to green cloud computing. The proposed Efficient Dynamic VM Scheduling approach minimizes Service Level Agreement (SLA) violations and manages VM migration by lowering the energy consumption effectively along with the balanced load. In the proposed work, VM Scheduling for Efficient Dynamically Migrated VM (VMS-EDMVM) approach first detects the over-utilized host using the Modified Weighted Linear Regression (MWLR) algorithm and along with the dynamic utilization model for an underutilized host. Maximum Power Reduction and Reduced Time (MPRRT) approach has been developed for the VM selection followed by a two-phase Best-Fit CPU, BW (BFCB) VM Scheduling mechanism which is simulated in CloudSim based on the adaptive utilization threshold base. The proposed work achieved a Power consumption of 108.45 kWh, and the total SLA violation was 0.1%. The VM migration count was reduced to 2,202 times, revealing better performance as compared to other methods mentioned in this paper.

Analysis of the Importance from Detailed Work (Role) of the Construction Manager for G-SEED Certification in the Design Phase (녹색건축인증을 위한 설계단계 건설사업관리자의 세부 업무(역할)별 중요도 분석)

  • Lee, Duhwan;Kang, Seongmi
    • Korean Journal of Construction Engineering and Management
    • /
    • v.21 no.6
    • /
    • pp.103-112
    • /
    • 2020
  • In this study, based on actual project implementation cases, task management plans for construction management related green building certification were derived in major stages. Accordingly, the importance from details of construction management tasks for the operation and management process of the schematic design phase, design development phase, and construction document phase, focusing on G-SEED certification, was analyzed. In addition, major items were derived based on the weight of additional construction costs and acquisition scores through previous research cases on the analysis of construction costs for G-SEED certification, and the importance from details of construction management tasks on the major items of G-SEED certification was analyzed. As a result, the review and confirmation of the elements of reflection related to G-SEED in the schematic design phase, the adequacy of design documents and the connectivity of design phase in the design development phase were important. And the review and confirmation of the items directly related to the construction phase in the construction document phase were important.

Improved Model for Index of Construction Engineer's Competency Evaluation System in Domestic Construction Management (국내 건설사업관리 기술인력 역량평가 개선모델(I2CEC))

  • Kang, Seongmi;Cha, Minsu;Lee, Woojae;Ji, Woojong;Cho, Hunhee;Yoo, Wisung
    • Korean Journal of Construction Engineering and Management
    • /
    • v.21 no.2
    • /
    • pp.47-58
    • /
    • 2020
  • The ICEC (Index of Construction Engineer's Competency) quantifies the competence of construction engineers using such parameters as experience, education, and qualifications and assigns four technical grades (expert, advanced, intermediate, and beginners) to construction engineers according to their scores for the efficient management and loading of technical personnel. However, as of 2020, the seventh year since its implementation, ICEC has shown many problems in its application, unlike its intended purpose. So institutional supplementation is required to provide improvement measures that can cope with the changing labor market environment and complement the current ICEC. Therefore, this study examined the current status of the career management system after the introduction of the ICEC, suggested a career index proportional to the competence of construction engineers from the beginner to the expert level, and developed an effective capability evaluation model I2CEC. The improved model presented in this study provides a means to comprehensively judge the performance, experience, and the professional work abilities of construction management engineers. Furthermore, the results of this study are expected to contribute to the development of efficient manpower and career management systems for enhancing the competitiveness of the domestic construction industry.

Use Intention of Chauffeured Car Services by O2O and Sharing Economy (공유경제와 O2O를 활용한 Chauffeured Car Services의 이용의도에 관한 연구)

  • Tian, Xiu-Fu;Wu, Run-Ze;Lee, Jong-Ho
    • Journal of Distribution Science
    • /
    • v.15 no.12
    • /
    • pp.73-84
    • /
    • 2017
  • Purpose - Over recent years, O2O and shared economy have been an eye-catching topic. Many researches on O2O and shared economy have been published gradually. The emerging enterprise of chauffeured car services developed rapidly in the past two years. Therefore, it is necessary to explore the influencing factors of use intention of the chauffeured car services users. Through active use of O2O and shared economy, put up with operation strategy in line with their use intention. Research design, data, and methodology - After collecting 324 respondents in China with questionnaires, this study begin the empirical research with users of Chauffeured Car Services, and analyzes data with IBM SPSS 24.0 and IBM AMOS 24.0. Results - Personal Propensity to Trust significantly affects the Initial Trust of chauffeured car services users. Firm Reputation significantly affects the Initial Trust and use intention of chauffeured car services users. Initial Trust significantly affects the use intention of chauffeured car services users. Performance Expectancy and Effort Expectancy significantly affect chauffeured car services users' use intention. Social Influence also significantly affects the use intention of chauffeured car services users. Conclusions - First, Initial Trust significantly affects the use intention of chauffeured car services users. Thus, the enterprise should make efforts to improve users' initial trust in order to attract their attention. For this reason, chauffeured car services enterprises should conduct questionnaires to deeply explore what needs can improve users' initial trust. Second, performance expectancy and effort expectancy significantly affect chauffeured car services users' use intention. When users enjoy chauffeured car services, they attach great importance to the convenience, simplicity and efficiency, which reflects that chauffeured car services' desire for greater development in the O2O and shared economy market. Therefore, they need to grasp users' needs (convenience, simplicity and efficiency) and carefully improve the quality of chauffeured car services. Finally, social influence also significantly affects the use intention of chauffeured car services users. It means friend recommendation or mass media influences users' intention. So, it is more important to increase differentiated benefits, advertising and publicity of chauffeured car services.

A Comparison Analysis of Life Cycle Cost (LCC) of Pumps - In the Focus on Comparison of Excellent and General Products in Water Industry - (Pump의 생애주기 비용(LCC) 비교 분석 - 물산업 우수제품과 일반제품의 비교를 중심으로 -)

  • Park, Woopyung;Choi, Yong;Jeon, Si Young;Kim, Jinho;Kang, Seongmi
    • Korean Journal of Construction Engineering and Management
    • /
    • v.23 no.3
    • /
    • pp.66-73
    • /
    • 2022
  • In order to induce users to purchase excellent products in the water industry that satisfy the technical standards of excellent products, in this study, it is to present the advantages of the cost aspect of the pumps as the objective basis. It will be to promote technology development of domestic water companies and to create a virtuous cycle structure in the water industry. In order to present an objective basis for the merits in terms of cost, an economic evaluation was conducted through life cycle cost analysis. For the LCC analysis, initial cost (pump cost and installation cost), operation cost (energy cost and maintenance cost) and demolition cost (disposal cost and residual value) are searched and calculated. As the results of comparison on two capacity of pumps, the energy cost of the excellent pump is 212 million KRW lower than the that of general pump in the large pump. The cost of excellent pump was 17 million KRW lower than that of general pump in small capacity pump. As the results of sensibility test, if the product is developed in the direction of improving pump efficiency and increasing the replacement cycle of consumables, it is predicted that the effect on LCC will be large.

Developing an Occupants Count Methodology in Buildings Using Virtual Lines of Interest in a Multi-Camera Network (다중 카메라 네트워크 가상의 관심선(Line of Interest)을 활용한 건물 내 재실자 인원 계수 방법론 개발)

  • Chun, Hwikyung;Park, Chanhyuk;Chi, Seokho;Roh, Myungil;Susilawati, Connie
    • KSCE Journal of Civil and Environmental Engineering Research
    • /
    • v.43 no.5
    • /
    • pp.667-674
    • /
    • 2023
  • In the event of a disaster occurring within a building, the prompt and efficient evacuation and rescue of occupants within the building becomes the foremost priority to minimize casualties. For the purpose of such rescue operations, it is essential to ascertain the distribution of individuals within the building. Nevertheless, there is a primary dependence on accounts provided by pertinent individuals like building proprietors or security staff, alongside fundamental data encompassing floor dimensions and maximum capacity. Consequently, accurate determination of the number of occupants within the building holds paramount significance in reducing uncertainties at the site and facilitating effective rescue activities during the golden hour. This research introduces a methodology employing computer vision algorithms to count the number of occupants within distinct building locations based on images captured by installed multiple CCTV cameras. The counting methodology consists of three stages: (1) establishing virtual Lines of Interest (LOI) for each camera to construct a multi-camera network environment, (2) detecting and tracking people within the monitoring area using deep learning, and (3) aggregating counts across the multi-camera network. The proposed methodology was validated through experiments conducted in a five-story building with the average accurary of 89.9% and the average MAE of 0.178 and RMSE of 0.339, and the advantages of using multiple cameras for occupant counting were explained. This paper showed the potential of the proposed methodology for more effective and timely disaster management through common surveillance systems by providing prompt occupancy information.

A Study on the Thermal Prediction Model cf the Heat Storage Tank for the Optimal Use of Renewable Energy (신재생 에너지 최적 활용을 위한 축열조 온도 예측 모델 연구)

  • HanByeol Oh;KyeongMin Jang;JeeYoung Oh;MyeongBae Lee;JangWoo Park;YongYun Cho;ChangSun Shin
    • Smart Media Journal
    • /
    • v.12 no.10
    • /
    • pp.63-70
    • /
    • 2023
  • Recently, energy consumption for heating costs, which is 35% of smart farm energy costs, has increased, requiring energy consumption efficiency, and the importance of new and renewable energy is increasing due to concerns about the realization of electricity bills. Renewable energy belongs to hydropower, wind, and solar power, of which solar energy is a power generation technology that converts it into electrical energy, and this technology has less impact on the environment and is simple to maintain. In this study, based on the greenhouse heat storage tank and heat pump data, the factors that affect the heat storage tank are selected and a heat storage tank supply temperature prediction model is developed. It is predicted using Long Short-Term Memory (LSTM), which is effective for time series data analysis and prediction, and XGBoost model, which is superior to other ensemble learning techniques. By predicting the temperature of the heat pump heat storage tank, energy consumption may be optimized and system operation may be optimized. In addition, we intend to link it to the smart farm energy integrated operation system, such as reducing heating and cooling costs and improving the energy independence of farmers due to the use of solar power. By managing the supply of waste heat energy through the platform and deriving the maximum heating load and energy values required for crop growth by season and time, an optimal energy management plan is derived based on this.