• Journal of the Korea Organic Resources Recycling Association
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• v.21 no.4
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• pp.88-100
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• 2013

This study evaluated the direct and indirect environmental impacts of various unit operations of a industrial waste incineration plant by using the life cycle assessment tool and reviewed the improvement plan. During the incineration process, the direct environmental impact was decreased with decrease in emission of various air pollutants by incorporating an air pollution prevention facilities. However, an increase in indirect environmental impacts was observed as a consequence of resources and energy of consumption at the various operational facilities. Consequently, quantitative direct and indirect impact were 89.1%, 10.9%, respectively. The environmental impact analysis of system revealed the highest impact of incineration followed by the impacts of other unit processes such as semidry reactor, and bag-filter. The various air pollutants and ashes generated during the incineration process caused the most significant environmental impact. Among the various categories of environmental impact, global warming accounted the highest impact(more than 85%) followed by eutrophication, and abiotic depletion. As a result of the avoided impact by the utilization of heat generated during the waste incineration process, using an incineration heat for steam and electricity obtained the impact reduction of 45.5%, 19.8%. So, during siting of new incineration plant, the utilization of steam generated from the waste combustion is highly considered to reduce the environmental impact.

• Asian Journal of Business Environment
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• v.8 no.4
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• pp.37-44
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• 2018

Purpose - The artificial intelligence industry plays an increasingly significant role in stimulating the development of United States of America's economy. On account of this background, this paper attempts to explore the impact of artificial intelligence industry on United States of America's macroeconomy. Research design, data, and methodology - This paper mainly focuses on the impact of artificial intelligence industry on GDP, employment, real income, import, export and foreign direct investment. Furthermore, the Phillips-Perron test and Canonical cointegrating regression will be employed to examine the impact of artificial intelligence industry on United States of America's macroeconomy with a sample form 2010-Q1 to 2017-Q4. Results - Via the empirical analysis, the results reveal that the artificial intelligence industry has a positive effect on United States of America's GDP, employment, real income, export and foreign direct investment. Conversely, the artificial intelligence industry has a negative effect on United States of America's import. Conclusions - In summary, the impact of artificial intelligence industry on United States of America's macroeconomy is positive and significant in statistics. Therefore, the government of United States of America should put more input into artificial intelligence industry.

• The Journal of Information Systems
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• v.10 no.1
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• pp.279-301
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• 2001

This study was examined empirically the relationship between exogenous and endogenous variables to use internet shopping malls. Exogenous variables in our model are retrieval simpleness, quality of order treatment, web reputation, update and system quality and endogenous variables are perceived usefulness, perceived ease of use and intention of using internet shopping malls. The results of the path analysis are shown as follows. All exogenous variables have a direct effect on perceived ease of use while both retrieval simpleness and update has a direct effect on perceived usefulness. The perceived ease of use has a direct effect on the intention of using internet shopping malls and has a indirect effect on the intention through perceived usefulness. Especially, web reputation among the exogenous variables has the strongest impact on the perceived ease of use and retrieval has the strongest impact on the perceived usefulness.

• Journal of Auto-vehicle Safety Association
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• v.14 no.4
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• pp.77-83
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• 2022

Occupant behaviors and body contact with vehicle interior parts are main injury mechanism in far-side collisions. In vehicle side impact accident where the crash accident occurs on the opposite side of the vehicle from the a particular occupant, it is exposed in terms of relatively larger lateral motion to interact with the opposite side of the vehicle structure. The challenge of minimizing motions of upper body and injury risk according to a direct contact is a primary occupant protection research. This study has performed a data analysis of real-world accident database extracted from the 2016~2020 CISS database and a parametric investigation of impact angles and occupant kinematics in far-side lateral and oblique impact simulations. A detailed data analysis was conducted to reveal the relationship among the accident and injury data. Database analysis and computational far-side impact results proposed the fundamental vehicle design for safety improvement in far-side collisions.

• Magazine of the Korean Society of Agricultural Engineers
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• v.44 no.5
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• pp.54-66
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• 2002

A grid-based hydrological model, CELTHYM, capable of estimating base flow and surface runoff using only readily available data, was used to assess hydrologic impacts caused by land use change on Little Eagle Creek (LEC) in Central Indiana. Using time periods when land use data are available, the model was calibrated with two years of observed stream flow data, 1983-1984, and verified by comparison of model predictions with observed stream flow data for 1972-1974 and 1990-1992. Stream flow data were separated into direct runoff and base flow using HYSEP (USGS) to estimate the impacts of urbanization on each hydrologic component. Analysis of the ratio between direct runoff and total runoff from simulation results, and the change in these ratios with land use change, shows that the ratio of direct runoff increases proportionally with increasing urban area. The ratio of direct runoff also varies with annual rainfall, with dry year ratios larger than those for wet years shows that urbanization might be more harmful during dry years than abundant rainfall years in terms of water yield and water quality management.

• Composites Research
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• v.19 no.1
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• pp.1-8
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• 2006

Prediction of damage caused by low-velocity impact in laminated composite plate is an important problem faced by designers using composites. Not only the inplane stresses but also the interlaminar normal and shear stresses playa role in estimating the damage caused. But it is well known that the conventional approach based on the homogenization has the limit in description of damage. The work reported here is an effort in getting better predictions of dynamic behavior and damage in composite plate using DNS approach. In the DNS model, we discretize the composite plates through separate modeling of fiber and matrix for the local microscopic analysis. In the view of microscopic mechanics with DNS model, interlaminar stress behaviors in the inside of composite materials are investigated and compared with the results of the homogenized model which has been used in the conventional approach to impact analysis. Also the multiscale model based on DNS concept is developed in order to enhance the effectiveness of impact analysis, and we present the results of multiscale analysis considering micro and macro structures simultaneously.

• The Journal of the Korea Contents Association
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• v.16 no.5
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• pp.548-560
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• 2016

The purpose of this study is the attitude of the job involvement of local community service center officials, directly face-to-face contacted with the local residents and offered them to the administrative service, to determine the impact relation to organizational commitment and organizational performance. And make sure that the organizational commitment is even perform the role of a parameter in the relationship between job involvement and organizational performance. Analysis showed that the job involvement had a direct impact on organizational commitment but it did not have a direct impact on organizational performance. And organizational commitment was found to have a direct impact on organizational performance. Therefore, Job involvement had not a direct impact on organizational performance, but had a indirect impact on organizational performance through the organizational commitment. The implications of this study, when local officials, directly face-to-face contacted with the local residents and offered them to the administrative service, involved in the planning and execution as well as more direct understanding of their job descriptions(received and processed the local residents complaints, (do things to serve the public's welfare and voluntary service to local residents, etc.), they can improve organizational commitment related to love their organization and loyalty in their organization, and pride in their organization.

• Proceedings of the Korean Society For Composite Materials Conference
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• 2005.04a
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• pp.249-252
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• 2005

Prediction of damage caused by low-velocity impact in laminated composite plate is an important problem faced by designers using composites. Not only the inplane stresses but also the interlaminar normal and shear stresses playa role in estimating the damage caused. The work reported here is an effort in getting better predictions of damage in composite plate using DNS approach. In the DNS model, we discretize the composite plates through separate modeling of fiber and matrix for the local microscopic analysis. Through comparison with the homogenized model. In the view of microscopic mechanics with DNS model, interlaminar stress behaviors in the inside of composite materials is investigated and compared with the results of the homogenized model which has been used in the conventional approach of impact analysis.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.3
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• pp.295-302
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• 2020

The paper aims to investigate the impact of foreign direct investment (FDI) on private investment with a sample having 49 developing countries in Asia (17 countries) and Africa (32 countries) during the period of 1990-2017. Unlike previous studies, we split the data into three groups for further analysis, including the Asian, African and the full-panel samples. The results confirm a crowding-in effect which shows that foreign direct investment promotes private investment on all three research samples. Besides, the lagged private investment has a positive and significant effect on itself in the next period which reflects the inertia in the trend of private investment in recipient countries. In the full-panel sample, there are some macro factors such as GDP per capita, trade openness, and electricity that also have a positive and statistically significant impact on private investment. Besides, when more deeply estimate with smaller samples, we find that trade openness and labour force have a positive and significant in Africa, on the other hand, not in Asia. However, the domestic credit variable has a negative and significant effect on private investment only in Asian developing countries. Furthermore, there is only a positive and significant impact of the electricity variable on private investment in Asia.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.7
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• pp.557-569
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• 2021

The study investigates the impact of strategic planning (SP) factors on service quality (SQ) in private universities (PUs) in Oman and how they fit together in the development of higher education institutions (HEIs). The reports of the Ministry of Higher Education (MoHE) in Oman revealed that the service quality in private universities is unsatisfactory. This study employs a quantitative method. Data were collected from a sample of 730 academics and administrators. Structural Equation Modeling (SEM) based on AMOS software was applied for data analysis. The results of the structural paths showed that, among the strategic planning factors, only environmental scanning and leadership had a direct significant impact on service quality. However, mission statement and participation had insignificant direct impact on service quality. The findings suggest that environmental scanning and leadership are critical factors in predicting service quality dimensions of private universities. The findings add to the body of knowledge particularly in the Omani context, which can be useful in the neighboring countries as well. The study combines two different popular models in addressing service quality. The study also clarified the importance of each factor of the strategic planning process, which give a comprehensive picture of the university.