• Proceedings of the KIEE Conference
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• 2006.07b
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• pp.1147-1148
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• 2006

The increase of exhaust gas which is caused by with the industry activity which follows in the Industrial Revolution of the human being has had an influence on the globe climate system so that causes the problem of the greenhouse effect. As a comprehensive countermeasures, it has been prompted to save energy, build a structure environmentally friendly and use renewable energy sources that are continually replenished by nature-the sun, the wind, the Earth's heat, and plants. In addition, new technologies that turn these fuels into usable forms of energy-most often electricity, but also heat, chemicals or mechanical power have been applied actively to the social infrastructure. Therefore, there should be methods to manage forms of renewable energy effectively and securely. This paper proposes the web-based monitoring system for the wind power system of these methods and introduces the real web-based monitoring system installed in Daegwallyeong.

• Smart Structures and Systems
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• v.5 no.2
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• pp.139-152
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• 2009

Globally, civil infrastructures are deteriorating at an alarming rate caused by overuse, overloading, aging, damage or failure due to natural or man-made hazards. With such a vast network of deteriorating infrastructure, there is a growing interest in continuous monitoring technologies. In order to provide a true distributed sensor and control system for civil structures, we are developing a Structural Nervous System that mimics key attributes of a human nervous system. This nervous system is made up of building blocks that are designed based on mechanoreceptors as a fundamentally new approach for the development of a structural health monitoring and diagnostic system that utilizes the recently developed piezo-fibers capable of sensing and actuation. In particular, our research has been focused on producing a sensory nervous system for civil structures by using piezo-fibers as sensory receptors, nerve fibers, neuronal pools, and spinocervical tract to the nodal and central processing units. This paper presents up to date results of our research, including the design and analysis of the structural nervous system.

• Proceedings of the KSRS Conference
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• 2003.11a
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• pp.120-122
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• 2003

Geographical position and associated climatic influences can be a negative environmental condition that affects sustainable use of land resources, especially pastoral livestock production. Vegetation condition of the country is sensitively changes upon climate changes and human impacts. Within last 60 years data the annual air temperature has increased in 1.66 degrees in average and the total precipitation amount had almost no change. The main goal of this work is to relate climate change within last 20 years with pasture condition, estimated by NOAA/NDVI data set.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.12 no.12
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• pp.2330-2336
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• 2008

This paper deals with monitoring sensor robot control system for the application of wireless sensor network. In order to control the direction and speed of robot via remote sensing environment, low power, low weight sensors with ad-hoc networking between robots' sensors have been used. These wireless sensor network based robot monitoring system can be used for remote observation and detection of robots in the areas such as factories, power plants and other dangerous areas which are difficult for human access.

• Environmental Engineering Research
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• v.23 no.4
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• pp.430-441
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• 2018

The adverse health impact of air pollution is becoming more serious. The purpose of this study is twofold: One is to analyze the effect of air pollution and temperatures on human health by analyzing the number of deaths from cardiovascular disease in Seoul, Korea; the other is to determine what impact the location of a monitoring site has on the results of a health study. For this latter purpose, air pollution and temperature monitors are sited at three locations termed green, public, and residential. Then, a decision tree model is used to analyze factors linked with deaths occurring at each monitoring site. The results show that the environmental temperatures before death and the $PM_{2.5}$ concentrations on the day of death are highly linked with the number of deaths regardless of the monitoring location. However, results are most accurate with residential data. The results of this study can be used as base data for a similar analysis and ultimately, as a guide to minimize the health impact of air pollution.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.45 no.4
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• pp.1-7
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• 2022

Explainable AI (XAI) is an approach that leverages artificial intelligence to support human decision-making. Recently, governments of several countries including Korea are attempting objective evidence-based analyses of R&D investments with returns by analyzing quantitative data. Over the past decade, governments have invested in relevant researches, allowing government officials to gain insights to help them evaluate past performances and discuss future policy directions. Compared to the size that has not been used yet, the utilization of the text information (accumulated in national DBs) so far is low level. The current study utilizes a text mining strategy for monitoring innovations along with a case study of smart-farms in the Honam region.

• International conference on construction engineering and project management
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• 2015.10a
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• pp.310-312
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• 2015

Small Unmanned Aerial Systems (SUAS) have been gaining a special attention in the U.S. recently because it is capable of getting aerial footages conveniently and cost effectively, but also because of its potential threat to the safety of our society. Regarding the benefits, one can easily find successful cases. For example, remote controlled or pre-programmed unmanned aircraft help ranch owners monitor their livestocks or crop harvesting status cost-effectively without having to hire human pilots. The professionals in the construction industry also acknowledge the benefits they could gain from using SUAS. Some firms already use a small unmanned aircraft for monitoring their construction activities, which may help project managers figure out construction progress, resolve disputes in real time, and make proactive decisions for quality control. However, there are many technical challenges that my hinder the use of small unmanned aircraft in the construction industry. This paper explores opportunities and challenges in using unmanned aircraft to monitor concrete cracks on the surface of containment building in the nuclear power plant.

• YAKHAK HOEJI
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• v.45 no.4
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• pp.366-377
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• 2001

Persistent organochlorine pesticides has been used intensively in agriculture for a long time. The occurrence of organochlorine pesticides in the environment and subsequently in parts of the food chains, results in the intake of these compounds by human and animal. The measurement of the levels of organochlorine pesticides in tissues or blood of human populations is a good marker in evaluating the extent of exposure and hazards. So, most countries have conducted initial monitoring programs to determine organochlorine pesticides and polychlorinated biphenyls in human tissues. But, in Korea, a few research has been reported. In this study, the legally prohibited organochlorines, such as, $\alpha$-BHC, $\beta$-BHC, ${\gamma}$-BHC, $\delta$-BHC, p,p'-DDT, p,p'-DDD, p,p'-DDE, endrin, dieldrin and aldrin were determined in human blood, brain, adipose tissue, kidney cortex and liver tissues collected at autopsy of 10 men and 10 women, 16~65 years of age. Almost all the organochlorine pesticides mentioned previously were determined in human tissue samples indicated that they have been widely distributed in Korean human body. No significant difference was found in the levels of organochlorine pesticides between sexes, districts and ages.

• Korean Journal of Ecology and Environment
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• v.41 no.1
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• pp.34-42
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• 2008

Water quality standards (WQS) are mandatory to guarantee the human health and protection of aquatic ecosystems, and maintain the condition of suitable water quality. The present WQS for the protection of human health in Korea contain nine substances (As, Cd, $Cr^{6+}$, CN, Pb, Hg, ABS, organophosphorus compounds and PCBs), but it is insufficient to preserve the human and aquatic ecosystem from a variety of chemicals. Therefore, it is necessary to expand the substance of WQS for the protection of human health. In this study, we chose the 20 chemicals from 43 chemicals of the project entitled 'Development of Integrated Methodology for Evaluation of Water Environment'. The methodology for calculating water quality criteria was amended from the US Environmental Protection Agency (US EPA)'s equation for deriving ambient water quality criteria for the protection of human health. The factors including fish intake, drinking water intake, and human body weight used in the equation reflected Korean situations. The monitoring values were derived from the water quality monitoring data in Korean four main rivers. The orders of priorities of chemicals were evaluated by human health risk assessment, and the proposed WQS was derived by technical and economic analyses. These results were reflected to expand the WQS for the protection of human health.

• Proceedings of the Korea Database Society Conference
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• 1999.06a
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• pp.261-270
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• 1999

Sintering transforms powdered ore into lumped ore so that the latter can be used in a blast furnace. The powdered ore combined with coke and other materials is loaded into a container and moved along by a pallet while the ignited coke bums. The speed by which the pallet moves determines how much sintering takes place. Since the process is complicated and lacks an accurate mathematical model, human operators manually control the speed by monitoring various factors in the plant. In this paper, we propose a neural network-based pallet speed controller which copies human operator knowledge. Actual process data were collected from a sintering plant fer eight months and preprocessed to remove noisy and inconsistent data. A multilayer perceptron was trained using a back-propagation learning algorithm. In on-line testing at the sinter plant, the proposed model reliably controlled pallet speed during normal operation without the help of human operators. Moreover, the duality and productivity was as good as with human operators.