• International Journal of Computer Science & Network Security
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• v.24 no.3
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• pp.196-200
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• 2024

Weather forecasting is considered to be of utmost important among various important sectors such as flood management and hydro-electricity generation. Although there are various numerical methods for weather forecasting but majority of them are reported to be Mechanistic computationally demanding due to their complexities. Therefore, it is necessary to develop and build models for accurately predicting the weather conditions which are faster as well as efficient in comparison to the prevalent meteorological models. The study has been undertaken to forecast various atmospheric parameters in the city of Bangalore using Naïve Bayes algorithms. The individual parameters analyzed in the study consisted of wind speed (WS), wind direction (WD), relative humidity (RH), solar radiation (SR), black carbon (BC), radiative forcing (RF), air temperature (AT), bar pressure (BP), PM₁₀ and PM_2.5 of the Bangalore city collected from Air Quality Monitoring Station for a period of 5 years from January 2015 to May 2019. The study concluded that Naive Bayes is an easy and efficient classifier that is centered on Bayes theorem, is quite efficient in forecasting the various air pollution parameters of the city of Bangalore.

• THE INTERNATIONAL COMMERCE & LAW REVIEW
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• v.71
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• pp.297-324
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• 2016

China not only has the largest amount of rare earth reserves, but it also produces the most rare earth products. However, China lacks appropriate supervision and management systems of its rare earth industry. The Chinese government's inappropriate mechanisms have been cause for reckless development by national rare earth providers characterized by excessive competition, environmental pollution, and smuggling. In response to the problems, China implemented regulatory measures to restructure the rare earth industry. The Chinese central government intensifies its efforts to control the total quantity of rare earth products and tackle environmental pollution. Six leading conglomerates have been selected to promote the Chinese central government's policy. A new environmental guideline has been drawn up to reduce the discharging of wastewater and air pollution substance. Huge transition and a great influence of its policy changes are expected. These policy changes are bound to entail huge transitions, and the policy is expected to have a great influence in the future structure of the rare earth industry. In consideration of these changes, the Korean government, in collaboration with private enterprises needs to take appropriate measures, such as overseas resources development, R&D expansion, tactical stockpiling, professional manpower training and so on.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.60 no.3
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• pp.588-593
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• 2011

The airpollutant may accelerate degradation of power line facilities, and may reduce the life of the electric facilities. In case of korea, there are a tendency that the density of air pollution may be increased by industrial development. while lack of research activity and establishment of a countermeasure on this issue. Recently the occurrence of electricity failure have been reduced on the power transmission and distribution lines. but the occurrence of electricity failure by insulator itself has been increased. It means that we should have develop more clear technique for detection of the wrong insulator. In this study to provide a method for detection of the insulator failure or effective management of the troubled insulator, we analyze the chemical composition of the insulator which used on power distribution line at the sea side locations. To define the relation between insulation and corona intensity, we design and develop an corona detector. We define the variation of insulation by pollution changes on the insulator and verify quantitative relation between corona and insulations using the corona detector.

• Journal of the Korean Institute of Rural Architecture
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• v.20 no.1
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• pp.45-52
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• 2018

The purpose of this study is to investigate safety and dangerous awareness of environment on walking trails. For this purpose, questionnaire survey are carried out by people who had experience using walking trails during 2016. It is evaluated that environments of walking trails located inside big cities are inferior than ones located in small and medium-sized cities and countryside in air pollution, bed smell, water pollution, noise, and waste. Needs about management and number installed public restroom are high for hygienic environment of walking trails. With waste treatment, users of 2.4 percentage are showed improper behavior that they left their rubbish at the place out of view but others bring their trash. Accident likelihood is highly appreciated and possibility of physical accident like slipping is showed at the highest. The reasons of accident on walking trails are responded with carelessness of walkers and improper of installation or management of safety facility at the most. For safety environment of walking trails, needs of installation of safety fences and notices of dangerous area are requested. In order to separate prevention from paths of walking trails, signposts are needed at visual clearness, maintenance, installation with proper interval and location, and correct contents. Respondents of 2.4 percentage have experiences of accident on walking trails and physical accident like slipping is occurred at the most.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.37 no.2
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• pp.43-54
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• 2014

Environmental pollution including air, land, and water has become one of the most critical issues in global interest. The damages due to environmental pollution lead to serious disasters. Nations have realized the importance of environment protection and have been starting to force organizations to implement environmental management system (EMS) as way of protecting environment. ISO 14001 requirements that are the most popular standard as EMS have been developed to support continuous improvement to environment management. It has been revised once since publication and ISO 14001 : 2004 version is currently available. Organizations globally started to acquire the certificate of EMS to observe environment related laws, accept customers' and stakeholders' request, increase market share, and fulfill implementation motives. This article examines the audit data that were collected for several years from manufacturing companies including shipbuilding, machinery, metal, automobiles, and chemical companies in southeastern Korea on the basis of ISO 14001 : 2004 requirements. The audit data were classified into minor nonconformities based on factors such as business size, business type, and EMS implementation period. We conduct hypotheses test using statistical methods in order to see if there are any significant differences based on the factors. We draw conclusions for the results of hypotheses test and address the necessities of energy, greenhouse gas, green management, and continuous improvement to enhance the efficiency of EMS implementation.

• Korean Journal of Construction Engineering and Management
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• v.7 no.3 s.31
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• pp.149-158
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• 2006

For construction projects, it is required to estimate the Environmental Management Cost(EMC) for pollution prevention, using the calculation standards prescribed in the Construction Technology Management Law(CTML). However, the EMC standards are difficult to utilize without definite site information. Therefore, it is needed a new calculation method reflecting project site information. According to the definition of EMC in the CTML, this study identifies the EMC items and classifies them into the pollution types such as air, water, noise, waste and others. With this EMC classification, the stud:』 analyzes using the SPSS the EMC for the 78 new multi-housing projects, which were executed during the past three years, 2000-2002. And then an EMC estimating matrix is developed with simple information such as site location and size of area from historical data. The proposed matrix can be effectively used to check and control budgeting and estimating the EMC of the multi-housing projects. In addition, the proposed EMC matrix are validated through a case study.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.20 no.43
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• pp.211-218
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• 1997

Since Industrial Revolution, the sudden industrialization and population explosion have brought about a serious environmental pollution on the air of the earth, the quality of water and the soil, and the greenhouse effect by the destruction of the ozone layer and the greenhouse gas, the organism diversity decline, the desertification by the ruining of woods and the overall global environmental pollution such as the contamination of the ocean and rivers have been come to the front. So the new recognition on the environment is being spreaded in construction business and the efforts for certification acquisition of ISO 14000 being followed by ISO 9000 are progressing, Accordingly, with an example of H Company where integration system is built so that it can minimize the efforts and cost at the construction of the management system, operation and management after the fact, this paper shall suggest the practical scheme of 3 steps through a study to integrate both existing quality management system and new environmental management system. As the integration system of the quality and environment which is constructed by this method is executed, the number of the established and managed document is cut by about a third and so the disorder to encounter between these documents is prevented and unnecessary efforts is reduced in constructing a system, consequently the efficiency of the system is accomplished. Also as the dualization of quality management system and environmental management system additionally needs more men and money after certification acquisition, the non-construction of the integration system may give rise to a cause to aggravate the burden of the company and hereafter when a new system is imported, it may be very difficult to integrate the system. This system integration enables a efficient and effective system to be constructed , operated , and managed after the fact.

• The Journal of the Korea Contents Association
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• v.20 no.7
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• pp.674-682
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• 2020

Recently, the problem of air pollution has become a global concern due to industrialization and overcrowding. Air pollution can cause various adverse effects on human health, among which respiratory diseases such as asthma, which have been of interest in this study, can be directly affected. Previous studies have used clinical data to identify how air pollutant affect diseases such as asthma based on relatively small samples. This is high likely to result in inconsistent results for each collection samples, and has significant limitations in that research is difficult for anyone other than the medical profession. In this study, the main focus was on predicting the actual asthmatic occurrence, based on data on the atmospheric environment data released by the government and the frequency of asthma outbreaks. First of all, this study verified the significant effects of each air pollutant with a time lag on the outbreak of asthma through the time-lag Pearson Correlation Coefficient. Second, train data built on the basis of verification results are utilized in Deep Learning algorithms, and models optimized for predicting the asthmatic occurrence are designed. The average error rate of the model was about 11.86%, indicating superior performance compared to other machine learning-based algorithms. The proposed model can be used for efficiency in the national insurance system and health budget management, and can also provide efficiency in the deployment and supply of medical personnel in hospitals. And it can also contribute to the promotion of national health through early warning of the risk of outbreak by atmospheric environment for chronic asthma patients.

• Journal of the Korea Society of Computer and Information
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• v.26 no.8
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• pp.181-185
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• 2021

Road fine dust is not simply a problem of air pollution, but is threatening the health and life of the public, including pedestrians using sidewalks. There are various policy proposals related to road fine dust reduction, but the actual effect cannot be guaranteed. Therefore, in order to ensure the safe and pleasant passage of the people, the pavement pavement (sidewalk pavement) for fine dust management on the road should be designed by considering the location, use, function, etc., and appropriate paving materials and construction methods should be selected and designed or sidewalk facilities should be prepared. Therefore, this study examines the concept and legal basis of sidewalk pavement, reviews the status of sidewalk pavement-related technologies that purify air pollution, and utilizes sidewalk pavement materials under the revised sidewalk pavement guidelines for reducing fine dust, 「Act on Promotion of Purchasing of Green Products」 We intend to establish a legal basis for early application of sidewalk pavement technology by proposing measures and amendments to local government sidewalk pavement management rules.

• Journal of Intelligence and Information Systems
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• v.29 no.3
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• pp.383-400
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• 2023

Air pollution-related diseases are escalating worldwide, with the World Health Organization (WHO) estimating approximately 7 million annual deaths in 2022. The rapid expansion of industrial facilities, increased emissions from various sources, and uncontrolled release of odorous substances have brought air pollution to the forefront of societal concerns. In South Korea, odor is categorized as an independent environmental pollutant, alongside air and water pollution, directly impacting the health of local residents by causing discomfort and aversion. However, the current odor management system in Korea remains inadequate, necessitating improvements. This study aims to enhance the odor management system by analyzing 1,010,749 data points collected from odor sensors located in Osong, Chungcheongbuk-do, using an Ensemble-Based Multi-Region Integrated Odor Concentration Prediction Model. The research results demonstrate that the model based on the XGBoost algorithm exhibited superior performance, with an RMSE of 0.0096, significantly outperforming the single-region model (0.0146) with a 51.9% reduction in mean error size. This underscores the potential for increasing data volume, improving accuracy, and enabling odor prediction in diverse regions using a unified model through the standardization of odor concentration data collected from various regions.