• Title/Summary/Keyword: usage model

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MULTIFACTOR MODELLING IN CONSTRUCTION MANAGEMENT

  • Leszek Janusz;Oleg Kaplinski
    • International conference on construction engineering and project management
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    • 2005.10a
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    • pp.633-637
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    • 2005
  • The paper presents a multifactor modelling of construction processes. There are three phases of the proposed extended procedure. Tools for these phases from chronometric test to verifying of the assumed model are indicated. Apart from the classic verification activities the method of artificial neural networks has been successfully applied. The paper presents the usage of these tools to model the process of assembly of structural corrugated steel plate structures.

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Development of Deep-Learning-Based Models for Predicting Groundwater Levels in the Middle-Jeju Watershed, Jeju Island (딥러닝 기법을 이용한 제주도 중제주수역 지하수위 예측 모델개발)

  • Park, Jaesung;Jeong, Jiho;Jeong, Jina;Kim, Ki-Hong;Shin, Jaehyeon;Lee, Dongyeop;Jeong, Saebom
    • The Journal of Engineering Geology
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    • v.32 no.4
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    • pp.697-723
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    • 2022
  • Data-driven models to predict groundwater levels 30 days in advance were developed for 12 groundwater monitoring stations in the middle-Jeju watershed, Jeju Island. Stacked long short-term memory (stacked-LSTM), a deep learning technique suitable for time series forecasting, was used for model development. Daily time series data from 2001 to 2022 for precipitation, groundwater usage amount, and groundwater level were considered. Various models were proposed that used different combinations of the input data types and varying lengths of previous time series data for each input variable. A general procedure for deep-learning-based model development is suggested based on consideration of the comparative validation results of the tested models. A model using precipitation, groundwater usage amount, and previous groundwater level data as input variables outperformed any model neglecting one or more of these data categories. Using extended sequences of these past data improved the predictions, possibly owing to the long delay time between precipitation and groundwater recharge, which results from the deep groundwater level in Jeju Island. However, limiting the range of considered groundwater usage data that significantly affected the groundwater level fluctuation (rather than using all the groundwater usage data) improved the performance of the predictive model. The developed models can predict the future groundwater level based on the current amount of precipitation and groundwater use. Therefore, the models provide information on the soundness of the aquifer system, which will help to prepare management plans to maintain appropriate groundwater quantities.

Cost Analysis Model according to Mortality in Land-based Aquaculture (육상수조 어류양식 생존율에 따른 비용분석모형)

  • Eh, Youn-Yang
    • The Journal of Fisheries Business Administration
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    • v.47 no.4
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    • pp.1-13
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    • 2016
  • Fish mortality is the most important success factor in aquaculture management. To analyze the effect of mortality considering biological and economic condition is a important problem in land-based aquaculture. This study is aimed to analyze the effect of mortality for duration of cultivation in land-based aquaculture. This study builds the mathematical model that finds the value of decision variable to minimize cost that sums up the water pool usage cost, sorting cost, fingerling cost and feeding cost under critical standing corp constraint. The proposed mathematical model involves many aspects, both biological and economical: (1) number of fingerlings (2) timing and number of batch splitting event, based on (3) fish growth rate, (4) mortality, and (5) several farming expense. Numerical simulation model presented here in. The objective of numerical simulation is to provide for decision makers to analyse and comprehend the proposed model. When extensive biological and cost data become available, the proposed model can be widely applied to yield more accurate results.

Development of A Multi-Period Integration DEA Model Considering Time Lag Effect (시간지연 효과를 고려한 기간 통합 DEA 모형의 개발)

  • Zhang, Yanshuang;Jeong, Byung Ho
    • Journal of the Korean Operations Research and Management Science Society
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    • v.37 no.4
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    • pp.37-50
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    • 2012
  • The existing DEA models have been devoted to evaluate relative efficiency of DMUs based on multiple input and output factors of a same period. However, a certain kind of lead time can be required to produce outputs using inputs in an organization. R&D evaluation is a typical area with this kinds of time lag. Thus, the purpose of this paper is to develop a new DEA model to deal with time lag effect in performance evaluation. The proposed model is to find relative efficiency of each DMU for each period considering the time lag effect. A case example using a real data set is also given to show the usage or implication of the suggested model. The results are compared with the ones of the CCR model and the multi-periods input model.

Customer-based Recommendation Model for Next Merchant Recommendation

  • Bayartsetseg Kalina;Ju-Hong Lee
    • Smart Media Journal
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    • v.12 no.5
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    • pp.9-16
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    • 2023
  • In the recommendation system of the credit card company, it is necessary to understand the customer patterns to predict a customer's next merchant based on their histories. The data we want to model is much more complex and there are various patterns that customers choose. In such a situation, it is necessary to use an effective model that not only shows the relevance of the merchants, but also the relevance of the customers relative to these merchants. The proposed model aims to predict the next merchant for the customer. To improve prediction performance, we propose a novel model, called Customer-based Recommendation Model (CRM), to produce a more efficient representation of customers. For the next merchant recommendation system, we use a synthetic credit card usage dataset, BC'17. To demonstrate the applicability of the proposed model, we also apply it to the next item recommendation with another real-world transaction dataset, IJCAI'16.

A Study on Acceptance Promotion of Information Systems under the Semi-Mandatory Circumstance: From the Perspective of Switching Costs Applied to the KMS of a Public Organization (반강제적 환경에서 정보시스템 의존에 미치는 영향요인 연구: 공공기관 KMS 활용 사례와 전환비용의 매개적 역할을 중심으로)

  • Seo, Hyun-Sik;Song, In-Kuk
    • The Journal of Information Systems
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    • v.21 no.2
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    • pp.45-71
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    • 2012
  • The purpose of the study is to propose the plans promoting IS acceptances under the circumstances where the IS usage is semi-mandatory. Since the IS usage is critical to secure the organization's competitiveness, many researchers have endeavored to investigate the factors in promoting IS acceptance. While TAM(Technology Acceptance Model) has been generally applied under the voluntary circumstance, under the mandatory circumstance did many researchers come to realized the limit of applying the TAM on IS acceptance. This resulted in various research trials to identify the IS acceptance under the mandatory circumstance. However, no research to promoting IS acceptance under the recommend circumstance where the corresponding users are recommend to the IS rather than alternative systems exits. The study applied the concept of switching costs to the research model, identified users' acceptance variations, and finally proposed the promotion plans for IS acceptance. The findings illustrate that IS dependence levels tend to be increased when both user satisfactions from a psychological perspective and monetary benefits from an economic perspective make the switching costs higher. The study stresses that organizations should provide information systems which reduce users' time, costs, and endeavors in performing their tasks, rather than require to use them by compulsion.

A Study on the Optimal Emission of CO2 due to Climate Change : An Application for Large Purse Seine (기후변화가 대형선망 고등어 어업의 최적탄소배출량에 미치는 영향분석)

  • Choi, Jong Du
    • Ocean and Polar Research
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    • v.39 no.3
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    • pp.195-203
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    • 2017
  • The purpose of this paper is to estimate the optimal $CO_2$ emission in the maximum economic yield (MEY), maximum sustainable yield (MSY), and open access (OA) using a bioeconomic model. The results are as follows; in the case of $E_{MEY}$, $E_{MSY}$, and $E_{OA}$ levels, $CO_2$ emissions are estimated at $150,704,746CO_2/kg$, $352,211,193CO_2/kg$, and $301,409,492CO_2/kg$ respectively. We show that the $E_{MEY}$ is more efficient than the other levels. That is, the level of $E_{MEY}$ signifies the optimal economic fishing usage as the most economically efficient usage for large purse seine fishery catching mackerel species. The emission of $CO_2$ in $E_{MEY}$ is the lowest level. Also, the impacts of climate changes such as ocean temperature increase, ocean acidification, and the combined impact thereof show that the biomass of mackerel decreases.

Service Level Agreement: Conceptual Model and Critical Success Factors (아웃소싱의 서비스 수준협약서에 관한 사례연구: 개념적 모형과 성공요인)

  • Kim, Seung-Yoon;Kim, Se-Han;Kim, Jin-Hwa;Nam, Ki-Chan
    • Asia pacific journal of information systems
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    • v.14 no.3
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    • pp.23-55
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    • 2004
  • Interests on Service Level Agreement(SLA), an immanence operating tool for managing the level of the information system service objectively and qualitatively, were raised among IT outsourcing service providers, outsourcers, and operating departments. Yet, only a few domestic conglomerates adopted the SLA, and exact usage of the SLA is currently unknown. Because of the importance of the SLA between a service recipient and a service provider, the agreement is treated with high confidentiality. This raised the problems to organizations which are considering the SLA but lack in the concrete guide line to internalize SLA management process. This study provides the process model of implementation for SLA by conducting multiple case research. The sampled companies are currently implementing the SLA over 1 year of usage period. Factors were used to provide the managerial contribution for implementing the SLA. To analyse the case samples, in-depth interview method was conducted for each sampled company. As a result, if SLA can be used as an immanence managerial tool and can be actively implemented, it will be an strategic tool for various decision making in IT management practice with long term relationship, better shared partnership, and continuous service improvement.

A Study on the Relationship of Air Pollution and Meteorological Factors : Focusing at Kwanghwamun in Seoul (대기오염농도와 기상인자의 관련성 연구: 서울 광화문지점을 중심으로)

  • 신찬기;한진석;김윤신
    • Journal of Korean Society for Atmospheric Environment
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    • v.8 no.4
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    • pp.213-220
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    • 1992
  • Simple correlation analysis, factor analysis, and multi-variate analysis have been performed to analyze the relationship between air pollution and meteorological factors for air pollution and meteorological data measured at Kwanghwamun in Seoul during the period of one year(January 1990 $\sim$ December 1990). As a result of simple correlation and factor analysis, $SO_2$, TSP and CO concentrations have shown high negative correlation with temperature and among these indicating that these are related with pollutant emission trend based upon heating fuel usage. Ozone has a good corrleation with solar radiation and relative humidity to have a closed relation with $O_3$ generation reaction mechanism. The result of multi-variate correlation analysis shows that the concentration of $SO_2$ and CO are adequate for correlation model with ambient temperature and wind speed and $O_3$ concentrations are adequate for that with solar radiation and wind speed. $SO_2$ and CO levels are considered to be affected first of all by heating fuel usage as a emssion source and wind speed as a dispersion effect. The $SO_2$ concentration in the condition that the temperature fall below zero is explained by multilicative model with wind speed, only one variable.

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A Study on the Influencing Factors of Revisit Behavior in the Commercial Website (상업적 웹사이트 재방문 영향요인에 관한 연구)

  • 이상만;이국용
    • Journal of Information Technology Applications and Management
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    • v.11 no.1
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    • pp.137-159
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    • 2004
  • In the past days, most of studies about website and Online behavior have been mainly focused on the adoption of website and internet shopping or internet shopping mall. But the model of website revisit behavior has not been made and the leading theory of website usage behavior has not been existed. Lately, many researches on commercial website revisiting behavior are emphasizing the role of intention, attitude, satisfaction in online visiting behavior such as Jarvenpaa et al. [1997, 1999, 2000], Wang et al. [2001], Moon & Kim [2001], Heijden[2003], Sultan et al. [2002], Yoon [2000], Shankar et al. [2002a, 2002b], Mcknight et al. [2002], Chen & Dhillon [2003] and so on. The purpose of this paper is two-folds. The one is to find the affecting factors on the website users' revisit behavior in commercial website and the other is to search more influencing ones on the determinant factors, to analyze research model using in LISREL. The EFA and reliability test was executed by for finding the validity and reliability, covariance matrix analysis was executed for the purpose of testing the 13 hypotheses. The major finding of this paper would be summarized as followed : (1) The roles of satisfaction and attitude to the revisit behavior are very important and both variables have determining effects in commercial website revisit behavior. (2) The determining factors in positively affecting website users' satisfaction are attitude, perceived usefulness, design. (3) The determining factors in positively affecting website users' attitude are perceived usefulness, design, perceived ease of use, and negatively affecting factor was perceived risk in website.

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