• International conference on construction engineering and project management
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• 2009.05a
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• pp.1260-1265
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• 2009

Topographical features in South Korea is characterized that 70% of territory is composed of the mountains that can experience intense rainfall during storms in the summer and autumn. Efficient planning and management of landscape becomes utmost important since the cutting slopes in the mountain areas have been increased due to the limited construction areas for the roadway and residential development. This paper proposed an efficient way of slope management for the landslide risk by developing Web-GIS landslide risk management system. By deploying the Logistic Regression Analysis, the system could increase the prediction accuracy that the landslide disaster might be occurred. High resolution survey technology using GPS and Total-Station could extract the exact position and visual shape of the slopes that accurately describe the slope information. Through the proposed system, the prediction of damage areas from the landslide could also make it easy to efficiently identify the level of landslide risks via web-based user interface. It is expected that the proposed landslide risk management system can support the decision making framework during the identification, prediction, and management of the landslide risks.

• Advances in environmental research
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• v.12 no.1
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• pp.41-49
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• 2023

In developing countries, solid waste is typically disposed of inappropriately, which has a negative impact on the environment and healthcare. One of the most serious environmental issues is the management of municipal solid waste because of the huge increase in waste generation brought on by industrialization, economic development, urbanization, and the exponential growth of Gurugram City's population. Municipal Corporation Gurugram (MCG) handles solid waste collection, transportation, and disposal. The city generates over 1100 tons of solid waste per day. In consideration of this, the current study employed the strengths, weaknesses, opportunities, and threats framework called SWOT analysis to critically examine the city's current methods for the management of municipal solid waste to provide more effective policy solutions. For conducting the analysis, the questionnaires and other interviews were conducted to gather information from households and officials in the city, and the observation made during field visits were recorded. The analysis shows that the waste management issue is getting worse for a variety of causes, including a lack of regulatory enforcement, insufficient technical and financial resources, insufficient people's participation, inadequate execution of policies, a lack of political priorities, and poor coordination between authorities.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.3
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• pp.235-243
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• 2022

To help the industry, outsourcing was found to be the most efficient method. An extensive literature analysis was done to assess the macroeconomic factors associated with outsourcing to supplement the anxious parties' decision-making process with evidence-based comprehensive tools. As a theoretical framework for evaluating these issues, transaction cost economies and resource-based perspective theories are investigated. Outsourcing is proven to be a result of energy crises and political instability. The advantages of outsourcing assist major industries in the economy. To discover the key drivers behind outsourcing, we used the vector autoregressive (VAR model) and step-wise regression techniques for the period 1992 to 2016. This research adds to the literature in that it not only explains the energy issue but also discusses the dilemma of political instability in the country in the context of outsourcing. The findings indicate that labor cost and export tendency have a positive impact on outsourcing strategy, which confirms the study's third and fourth hypotheses. Customs tax, inflation, and the unemployment rate, on the other hand, have a negative impact on textile outsourcing in Pakistan, according to the study's fifth, sixth, and seventh hypotheses.

• International conference on construction engineering and project management
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• 2013.01a
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• pp.352-358
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• 2013

As amount of information in construction industry is growing, the role of information system in project management is becoming increasingly important. With the emerging IT application to the advancing construction industry, construction project management system with advanced technology has been progressed vigorously to improve construction productivity and management efficiency. Recently, a web-based Project Management Information System (PMIS) is developed to support decision-making process by efficiently managing project related information generated from various discipline. Many firms are in the process of developing the PMIS system or already have been applied the system to various projects. However, PMIS is still in its early stage of development to be applied at industrial plant construction projects that process management is significantly emphasized for the successful execution of the project. With the complexity of the industrial plant projects, the industry practitioners need to be able to visualize the construction schedule information to manage the project efficiently. This study suggests methodologies for improving PMIS specialized for industrial plant piping construction projects to estimate the baseline schedule and performance measurement more accurately by developing a framework for the piping construction projects. By using this developed system, the researchers expect that piping construction projects will be more efficiently managed on a real-time basis through measuring progress of piping at each and every state of progress milestone and provide management with opportunities to forecast the level of efforts required to execute the remaining work scope in a timely manner

• International Journal of Computer Science & Network Security
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• v.24 no.4
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• pp.147-154
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• 2024

The continuous increase in urban population due to migration of mases from rural areas to big cities has set urban water supply under serious stress. Urban water resources face scarcity of available water quantity, which ultimately effects the water supply. It is high time to address this challenging problem by taking appropriate measures for the improvement of water utility services linked with better understanding of demand side management (DSM), which leads to an effective state of water supply governance. We propose a dynamic framework for preventive DSM that results in optimization of water resource management. This paper uses Agent Based Modeling (ABM) with Digital Twin (DT) to model water consumption behavior of a population and consequently forecast water demand. DT creates a digital clone of the system using physical model, sensors, and data analytics to integrate multi-physical quantities. By doing so, the proposed model replicates the physical settings to perform the remote monitoring and controlling jobs on the digital format, whilst offering support in decision making to the relevant authorities.

• Asia pacific journal of information systems
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• v.33 no.2
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• pp.342-366
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• 2023

This study attempts to extend the customer value - customer satisfaction - customer loyalty framework by introducing key constructs of scarcity messages as a major environmental stimulus and the urge to buy impulsively as its response in the context of group-buying social commerce, across countries including Korea and China. More specifically, this study proposes that scarcity messages influence customers' value perception (i.e., utilitarian value and hedonic value) and thereby influencing customer satisfaction and further customer loyalty. Moreover, the study suggests that scarcity messages and utilitarian and hedonic values arouse the urge to buy impulsively. In the Korean sample, the results show that scarcity messages increase both utilitarian and hedonic values as well as the urge to buy impulsively, which in turn leads to customers' satisfaction and further loyalty. Besides, customer satisfaction is determined by utilitarian value, not hedonic value. In the Chinese sample, utilitarian value-related relationships are insignificant. More specifically, scarcity messages only influence hedonic value which increases the urge to buy impulsively. Besides, customer satisfaction is determined by both utilitarian and hedonic values, but not by the urge to buy impulsively.

• Nuclear Engineering and Technology
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• v.56 no.2
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• pp.644-654
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• 2024

After the Tohoku earthquake and tsunami (Japan, 2011), regulatory efforts to mitigate external hazards have increased both the safety requirements and the total capital cost of nuclear power plants (NPPs). In these circumstances, identifying not only disaster robustness but also cost-effective capacity setting of NPPs has become one of the most important tasks for the nuclear power industry. A few studies have been performed to relocate the seismic capacity of NPPs, yet the effects of multiple hazards have not been accounted for in NPP capacity optimization. The major challenges in extending this problem to the multihazard dimension are (1) the high computational costs for both multihazard risk quantification and system-level optimization and (2) the lack of capital cost databases of NPPs. To resolve these issues, this paper proposes an effective method that identifies the optimal multihazard capacity of NPPs using a multi-objective genetic algorithm and the two-stage direct quantification of fault trees using Monte Carlo simulation method, called the two-stage DQFM. Also, a capacity-based indirect capital cost measure is proposed. Such a proposed method enables NPP to achieve safety and cost-effectiveness against multi-hazard simultaneously within the computationally efficient platform. The proposed multihazard capacity optimization framework is demonstrated and tested with an earthquake-tsunami example.

• Journal of Energy Engineering
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• v.15 no.1 s.45
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• pp.74-81
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• 2006

In this study, on the basis of an analytic hierarchy process (AHP) method and through a questionnaire on subjective preference and importance, various power supply systems were comprehensively compared with multiple decision criteria such as environmental, social, healthy, and economic viewpoints and then overall priority was assessed. When a decision-making problem is modelled by a hierarchy structure, the AHP method is regarded as a useful tool for extracting subjective opinions via the aforementioned questionnaire. Here, the overall preferences were obtained by linearly aggregating weighting vector and preference matrix. The energy systems such as nuclear, coal, and LNG power plants were selected because they took share over 90% of domestic electricity supply in Korea. Furthermore, wind power and photovoltaic solar systems were included as representative renewable energy systems in Korea. According to the results of this demonstration study, the following comprehensive comparison indicators were yielded: 1) weighting factors for 4 types of main criteria as well as for 11 types of sub-criteria; 2) preference valuation for 7 types of energy systems under consideration; 3) overall score for each energy systems.

• Structural Engineering and Mechanics
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• v.17 no.3_4
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• pp.527-537
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• 2004

Consequence-Based Engineering (CBE) is a new paradigm proposed by the Mid-America Earthquake Center (MAE) to guide evaluation and rehabilitation of building structures and networks in areas of low probability - high consequence earthquakes such as the central region of the U.S. The principal objective of CBE is to minimize consequences by prescribing appropriate intervention procedures for a broad range of structures and systems, in consultation with key decision makers. One possible intervention option for rehabilitating unreinforced masonry (URM) buildings, widely used for essential facilities in Mid-America, is passive energy dissipation (PED). After the CBE process is described, its application in the rehabilitation of vulnerable URM building construction in Mid-America is illustrated through the use of PED devices attached to flexible timber floor diaphragms. It is shown that PED's can be applied to URM buildings in situations where floor diaphragm flexibility can be controlled to reduce both out-of-plane and in-plane wall responses and damage. Reductions as high as 48% in roof displacement and acceleration can be achieved as demonstrated in studies reported below.

• Journal of Korean Academy of Fundamentals of Nursing
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• v.5 no.1
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• pp.19-31
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• 1998

Nursing science is focusing increasingly on family health care. Especially during the launching stage of family the grown-up sons daughters, and middlescent parents daughters have experienced a lot of change. The purpose of this study is to investigate the family health during the launching stage of the family by utilizing the family health assessment tool based on Roy's adaptation model. The Roy adaptation model was used as it is the best practice-based framework for Family Health Nursing Care. The data was collected using a structured questionnaire. The structure of the questionnaire was developed from the Family Health Assessment Tool by S.O. Jang(1996). The sample of 276 subjects was a convenient sample and data was obtained from November 14, 1996 to December 4, 1996. In order to analyze the collected data, this study utilized frequency, percentile, average, ANOVA, Cronbach's, and factor analysis. The results from this research are summarized as follows : 1. The degree of family health is average $95.24{\pm}9.40$ ranged in middle. 2. The significant difference between general characteristics and family health was only revealed with the major decision making person in the family. This research thus suggests the following : 1. The legal system is needed in order to check the family members' health state regularly. 2. With family nursing care, it has to identify who is the major decision maker in that family. 3. There is a need to redefine the family health assessment tool. 4. Further research will attempt to investigate family health in each family's developmental stage.