• Journal of Information Technology Applications and Management
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• v.27 no.3
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• pp.19-36
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• 2020

The Internet of things (IoT) is a system of interrelated computed devices, digital machines and any physical objects which are provided with unique identifiers and the potential to transmit data to people or machine (M2M) without requiring human interaction. IoT devices can be used to monitor and control the electrical and electronic systems used in different fields like smart home, smart city, smart healthcare and etc. In this study we introduce four imaginary IoT devices as a learning support assistants according to students' dominant learning styles measured by Honey and Mumford Learning Styles: Activists, Reflectors, Theorists and Pragmatists. This research emphasizes the association between students' strong learning styles and a preference to appropriate IoT devices with specific characteristics. Moreover, different levels of IoT devices' architecture are clearly explained in this study where all the artificial devices are designed based on this structure. Data analysis of experiment were measured by the use of chi square test for association and research results showed the statistical significance of the estimated model and the impacts of each category over the model where we finally got accurate estimates for our research variables. This study revealed the importance of considering the students' dominant learning styles before inventing a new IoT device.

• Journal of Korean Society of Rural Planning
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• v.16 no.3
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• pp.159-171
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• 2010

Since rapid industrialization of Korean society, out-of-village roads have been greatly improved, while almost all of in-village roads have not been fundamentally improved yet. Unless village roads should be improved in relatively comparison with trunk roads, it has been widely recognized that grass rooted achievement of accessibility revolution not be realized. In this regard, this study tried to develop evaluation indicators system for improvement of village roads. The evaluation indicator system on village road conditions was proposed which is sub-categorized as structural improvement of road itself, its communication serviceability and public securing level of property rights of road site. The system has 6 indicators(2 of each subcategory);good pavement ratio and over 3m wide road length ratio, ratio of household fronting under 2m wide road and connectivity of road network, ratio of registered as 'road' in land category and ratio of publicly owned road sites. In the final conclusion, village roads in rural Korea have been generally in worse condition regardless of whether prior improvement works or not, except some of recent plan-based improvement villages.

• Proceedings of the Korea Air Pollution Research Association Conference
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• 2004.05a
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• pp.65-69
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• 2004

The need for developing sustainable solutions for managing the animal waste is vital for the future of the animal industry in North Carolina. As part of that process, the North Carolina Attorney General has concluded that the public interest will be served by the development and implementation of environmentally superior swine waste management technologies appropriate to each category of hog farms. To facilitate in the development, testing, and evaluation of potential technologies it is necessary that all aspects of environmental issues (air, water, soil, odor and odorants, and disease-transmitting vectors and airborne pathogens) be addressed as Part of a comprehensive strategy, Program OPEN (Odor, Pathogens, and Emissions of Nitrogen) Is comprehensively addressing these issues.

• Journal of Forest and Environmental Science
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• v.28 no.2
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• pp.75-83
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• 2012

An explanatory survey was conducted to assess preference and consumption pattern of horticultural species, their sources, location-wise planting preferences and diversity of these species in the rural homestead forest of the offshore island of Bangladesh. Assessment was done through multistage random sampling. Based on homestead size respondents were categorized into small (<0.05 ha), medium (0.05-0.25 ha) and large (>0.25 ha) and twenty from each category were selected randomly for the study. The study revealed that most of the farmer (75.5%) preferred to plant fruit tree species for future plantation followed by timber species (62.2%). But fruit-bearing plants were being gradually replaced by some exotic timber species such as Swietenia mahagoni, Acacia auriculiformis, Tectona grandis, Eucalyptus spp., etc. Diversity and abundance of fruit species was found higher in almost all homestead. A total of 41 horticultural species were identified and seven horticultural species among them were recognized as the most preferred ones in the study area. Consumption pattern was chiefly to meet the nutritional demand and to gain a quick monetary benefit. Average annual income from horticultural species was 7,183.33 Taka (US$102).

• Journal of Environmental Health Sciences
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• v.28 no.2
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• pp.173-182
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• 2002

Exposure to environmental tobacco smoke(ETS) increases the risk of lung cancer and other diverse health effect for nonsmokers. Health risk assessment of nonsmokers related to ETS exposure requires large and exact data of ETS exposure to nonsmokers. This study presented the data of ETS exposure to workers at three category of restaurants(Korean restaurant, coffee shop, wine shop) in Seoul. Markers of ETS exposure measured in this study were area and personal NO$_2$, area and urine nicotine, area respiratory suspended particulate(RSP) and urine cotinine. The mean concentration of RSP and nicotine of all restaurant indoor samples was 177.8$\mu\textrm{g}$/㎥(range:75.3~317.0$\mu\textrm{g}$/㎥) and 7.8$\mu\textrm{g}$/㎥(range:0~57.3$\mu\textrm{g}$/㎥). The mean concentration of urine cotinine measured for the biomarker of ETS exposure was 77.3ng/mL(range:17.3~174.6ng/mL). In all measurements, the concentration of ETS markers at the wine shop was higher than those at other restaurants. The correlation coefficient among the ETS markers measured in the study was significant between area RSP and nicotine concentration and between area NO$_2$and nicotine concentration.

• Journal of the Korean Institute of Landscape Architecture
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• v.21 no.4
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• pp.83-99
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• 1994

To compare basic information and to inspect impacts situations between 1987 and 1992, this study was executed in Chongnung valley of Mt. Puk'an. And to provide basic informations through the change of plant species diversity, some methods were applied and analyzed such as the degree of environmental impacts and belt-transect method. The results were summarized as follows; 1. In order to find environmental impacts by visitor, the degree of environmental impacts class that was proposed by Kwon(1991) was implicated. In 4 sites, total area of over impact class 2 is 86,692$m^2$ and area of impacts class 4-6 that is impossible to recover naturally is 36,856$m^2$. Totally, the impacted area was profounded qualitatively and quantitatively against 1987's. 2. In the vegetation change by visitor's impacts, species diversity was rapidly decreased as nearer the campsite and trail. And in the basal area and coverage, lower layer species was sensitively changed. Trampling-resistent species is as following; Robinia pseudoacacia, Lespedeza cyrtobotrya, Staphylea bumalda, Clerdendron trichotomum, Stephanandra incisa, Rubus crataegifolius, Lespedeza maximowiczii, Weigela subsessilis, Rosa multiflora, Zanthoxylum schinifolium, Lindera obtusiloba, Callicarpa japonica, Sorbus alnifolia, Symplocos mongolica and so on. In the results of soil hardness test, that was decreased as far away from campsite and trail. 3. In the 4 sites selected in Chongnung valley of Puk'ansan Natioal Park, management plans was largely divided 4 category, such as trail improvement, facilities setting, ecotone vegetation establishment, and vegetation rehabilitation. And a suggestion was provided to each site.

• Proceedings of the Korea Information Processing Society Conference
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• 2019.05a
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• pp.515-518
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• 2019

Semantic segmentation has remained as a challenging problem in the field of computer vision. Given the immense power of Convolution Neural Network (CNN) models, many complex problems have been solved in computer vision. Semantic segmentation is the challenge of classifying several pixels of an image into one category. With the help of convolution neural networks, we have witnessed prolific results over the time. We propose a convolutional neural network model which uses Fully CNN with deconvolutional pixel layers. The goal is to create a hierarchy of features while the fully convolutional model does the primary learning and later deconvolutional model visually segments the target image. The proposed approach creates a direct link among the several adjacent pixels in the resulting feature maps. It also preserves the spatial features such as corners and edges in images and hence adding more accuracy to the resulting outputs. We test our algorithm on Karlsruhe Institute of Technology and Toyota Technologies Institute (KITTI) street view data set. Our method achieves an mIoU accuracy of 92.04 %.

• Nuclear Engineering and Technology
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• v.55 no.1
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• pp.238-247
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• 2023

The present work represents a technical guideline for decommissioning a disused teletherapy machine model Theratron-780 and contains category one ⁶⁰Co radioactive source. The first section predicts the dose rate from the source in case of normal and radiological emergency situations via FLUKA-MC simulation code. Moreover, the dose assessment for the occupational during the whole process is calculated and compared to the measured values. A suggested cordoned area for safety and security in a radiological emergency is simulated. The second section lists the whole process's technical procedures, including (preview, dismantle, securing, transport and storage) of the disused teletherapy machine. Results show that the maximum obtained accumulated dose for occupational were found to be 24.5 ± 4.9 μSv in the dismantle and securing process in addition to 3.5 ± 1.8 μSv during loading on the transport vehicle and unloading at the storage facility. It was found that the measured accumulated dose for workers is in good agreement with the estimated one by uncertainty not exceeding 5% in normal operating conditions.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.1
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• pp.93-103
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• 2022

The main purpose of this study was to gauge the patient satisfaction index and subsequently discuss the Importance-Performance (IP) matrix analysis of the inpatient services in the context of the private hospital setting. The Malaysian Customer Satisfaction Index Model was employed as the theoretical framework for the above purposes. This study involving 242 patients in Malaysian's private healthcare sector used a Web-based survey as the main method of data collection. Partial least square structural equation modeling (PLS-SEM) was utilized for data analysis. Using Fornell et al. (1996)'s formula, the resulting patient satisfaction index was slightly lower than the "very satisfied" category, the target level required for positioning as one of the world's premier medical tourism players. The IP matrix showed that medical quality is the main competitive advantage of the private hospitals that can propel their growth in the global healthcare marketplace. The results also indicate that outcome quality, patient rights, and privacy, and service quality are the three quality domains that need to be prioritized for further improvement. On the other hand, the servicescape quality domain needs to be strategized as the unique selling proposition as the performance of the private hospitals in this regard is already extremely good.

• International Journal of Computer Science & Network Security
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• v.23 no.7
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• pp.131-140
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• 2023

Network security situational awareness systems helps in better managing the security concerns of a network, by monitoring for any anomalies in the network connections and recommending remedial actions upon detecting an attack. An Intrusion Detection System helps in identifying the security concerns of a network, by monitoring for any anomalies in the network connections. We have proposed a CRF based IDS system using genetic search feature selection algorithm for network security situational awareness to detect any anomalies in the network. The conditional random fields being discriminative models are capable of directly modeling the conditional probabilities rather than joint probabilities there by achieving better classification accuracy. The genetic search feature selection algorithm is capable of identifying the optimal subset among the features based on the best population of features associated with the target class. The proposed system, when trained and tested on the bench mark NSL-KDD dataset exhibited higher accuracy in identifying an attack and also classifying the attack category.