• Korean journal of aerospace and environmental medicine
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• v.28 no.3
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• pp.52-55
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• 2018

The purpose of the aviation physical examination guideline is not only to determine the physical fitness of the aviation workers but also to treat the underlying diseases of the aviation employees effectively and to carry out the optimal aviation duties. As medical science advances, treatment guidelines for various diseases are rapidly changing, and aviation physical examination guidelines need to be revised accordingly. Therefore, it is necessary to analyze the change trends of the AME guideline around the world and appropriately reflect it according to the situation of Korea. It is also necessary to continue the training of AME who are required to carry out examinations and certificates by these revision guidelines. Therefore, it would be desirable to analyze the education system of the advanced countries including the US and introduce the advantages of these systems into Korean AME education curriculum. Primarily, with the development of the Internet, various online lectures have been developed recently. Therefore, we first aimed to look at the changes in the current AME guideline of the Federal Aviation Administration. Next, we aimed to discuss changes in the course of the AME refresher course. Finally, we would like to suggest some points to be improved by comparing these AME guidelines and educational programs with those of Korea.

• Fourth Industrial Review
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• v.4 no.1
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• pp.1-9
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• 2024

Purpose: Education is the part of a fundamental human right across the world. In recent years, the trend of virtual education has increased tremendously. The paper aims to find the impact of adoption, accessibility, interactions, knowledge, and satisfaction on the success of transformation towards virtual education. Research design, data and methodology: Primary data has been gathered through the use of responses from students taking admission in virtual higher education to standardized questionnaires. Of the 250, only 122 were considered complete and have been used in further studies. Convinced random sampling method has been used. The results were evaluated using the Likert Five-Point Scale. For applying these statistical tools software SmartPLS and SPSS 19 have been used. The fitness of the model has been re-checked through an Artificial Neural Network (ANN). Result: Results derived that adoption, accessibility, and interactions have a significant impact on knowledge, knowledge influences satisfaction level and satisfaction have a meaningful impact on the success of transformation towards virtual education. Conclusion: It can be concluded that virtual education has the potential to change the future of the education system and its potential in India. The highest importance is due to satisfaction (100%), adoption (98.7%), knowledge (91.4%), accessibility (62%), and interaction (29.2%).

• International Journal of Computer Science & Network Security
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• v.24 no.7
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• pp.177-185
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• 2024

Web science, a general discipline of learning is presently at high demand of expertise with ideas to develop software-based WebApps and MobileApps to facilitate user or customer demand e.g. shopping etc. electronically with the access at their smartphones benefitting the business enterprise as well. A worldwide-computerized reservation network is used as a single point of access for reserving airline seats, hotel rooms, rental cars, and other travel related items directly or via web-based travel agents or via online reservation sites with the advent of social-web, e-commerce, e-business, from anywhere-on-earth (AoE). This results in the accumulation of large and diverse distributed databases known as big data. This paper describes a novel intelligent web-based electronic booking framework for e-business with distributed computing and data mining support with the detail of e-business system flow for e-Booking application architecture design using the approaches for distributed computing and data mining tools support. Further, the importance of business intelligence and data analytics with issues and challenges are also discussed.

• Journal of Nutrition and Health
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• v.36 no.5
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• pp.508-514
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• 2003

The purpose of this study was to analyze information about food and nutrition presented through the television broadcast media, with the aim of finding out the optimal communication method for supplying the general public with accurate information. To perform this study, a total of sixteen monitoring people were recruited and trained before and during the study. Five domestic TV channels were selected to be monitored, and the total monitoring period was six months. For maximum efficiency, the monitoring people were assigned to 8 teams. The results of the present study can be summarized as follows : First, the total reported cases of information about food and nutrition were 237, of which about 30% were judged appropriate and 70％ as inappropriate. Second, classifying each case by program type, information programs made up the highest portion at 82 cases (34.6%), cooking programs accounted for 76 cases (32.1%), news programs for 40 cases (16.9%), and entertainment programs for 7 cases (3.0%). The analysis showed that the greatest amount of incorrect information was found in dramas, followed by entertainment, information, cooking and news programs. Third, classifying each case by theme of contents monitored, meal preparation and cookery made up the highest portion at 86 cases (36.3%), foods accounted for 67 cases (28.3%), disease and diet-therapy for 40 cases (16.9%), eating habits for 31 cases (13.1%), and diet and fitness for 13 cases (5.5%). Incorrect information was conveyed most often on the themes of food habits, foods, disease and diet-therapy, cookery, and diet and fitness. Fourth, classifying each case by channel, Cable TV had the highest frequency at 72 cases (30.4%), MBC had 51 cases (21.5%), SBS had 43 cases (18.1%), KBS1 had 41 cases (17.3%) and KBS2 had 30 cases (12.7%). In conclusion, systematic monitoring should be continued to reduce the frequency of incorrect information being broadcast and to help ensure that accurate information is conveyed to the general public. Moreover, there should be a system of cooperation to provide information to help broadcast production teams establish a strategic program. Finally, it is essential to organize an advisory team by promoting links between the mass media and specialists in the field, and to develop an educational program on nutrition to help ensure the communication of accurate information on food and nutrition. (Korean J Nutrition 36(5): 508∼514, 2003)

• Journal of the Korean Association of Geographic Information Studies
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• v.21 no.3
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• pp.76-92
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• 2018

This study aimed to establish database of rainfall inundation area by rainfall scenarios and conduct a real time prediction for urban flood mitigation. the data leaded model was developed for the mapping of inundated area with rainfall forecast data provided by korea meteorological agency. for the construction of data leaded model, 1d-2d modeling was applied to Gangnam area, where suffered from severe flooding event including september, 2010. 1d-2d analysis result agree with observed in term of flood depth. flood area and flood occurring report which maintained by NDMS(national disaster management system). The fitness ratio of the NDMS reporting point and 2D flood analysis results was revealed to be 69.5%. Flood forecast chart was created using pre-flooding database. It was analyzed to have 70.3% of fitness in case of flood forecast chart of 70mm, and 72.0% in case of 80mm flood forecast chart. Using the constructed pre-flood area database, it is possible to present flood forecast chart information with rainfall forecast, and it can be used to secure the leading time during flood predictions and warning.

• Journal of Korean Society of Forest Science
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• v.107 no.2
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• pp.184-192
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• 2018

In this study was implemented to develop tree stem weight prediction equation of Larix kaempferi in central region by selecting a standard site, taking into account of diameter and position of the local trees. Fifty five sample trees were selected in total. By utilizing actual data of the sample trees, 11 models were compared and analyzed in order to estimate four different kinds of weights which include fresh weight, ovendry outside bark weight, ovendry inside bark weight and merchantable weight. As to estimate its weight, the study has classified its model according to three parameters: DBH, DBH and height, and volume. The optimal model was chosen by comparing the performance of model using the fit index and standard error of estimate and residual distribution. As a result, the formula utilizing DBH (Variable 1) is $W=a+bD+cD^2$ (3) and its fit index was 90~92%. The formula for DBH and height (Variable 2) is $W=aD^bH^C$ (8) and its fit index was 97~98%. In summation, Variable 2 model showed higher fitness than Variable 1 model. Moreover, fit index of formula for total volume and merchantable volume (W=aV) showed high rate of 98~99%, as well as resulting 7.7-17.5 with SEE and 8.0-10.0 with CV(%) which lead to predominately high fitness in conclusion. This study is expected to provide information on weights for single trees and furthermore, to be used as a basic study for weight of stand unit and biomass estimation equations.

• Journal of Intelligence and Information Systems
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• v.14 no.4
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• pp.103-116
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• 2008

This paper proposes quay crane (QC) scheduling algorithms that determine the working sequence of QCs over ship bays in a container vessel in automated container terminals. We propose two scheduling algorithms that examine the distribution of export containers in the stacking yard and determine the sequence of ship bays to balance the workload distribution among the yard blocks. One of the algorithms is a simple heuristic algorithm which dynamically selects the next ship bay based on the entropy of workloads among yard blocks whenever a QC finishes loading containers at a ship bay and the other uses genetic algorithm to search the optimal sequence of ship bays. To evaluate the fitness of each chromosome in the genetic algorithm, we have devised a method that is able to calculate an approximation of loading time of container vessels considering the workloads among yard blocks. Simulation experiments have been carried out to compare the efficiency of the proposed algorithms. The results show that our QC scheduling algorithms are efficient in reducing the turn-around time of container vessels.

• Journal of Convergence Society for SMB
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• v.1 no.1
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• pp.1-8
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• 2011

With a sample of 147 Korean small and medium size companies, this study examined the relationships among degree of information orientation, corporate culture, degree of information management implementation and selected business performances in the process of implementing IMS(Information Management System). Information orientation is defined as company-wide understanding and implementation of the underlying philosophy, principles, approached, and tools of information improvement programs. It is assumed that successful implementation of information improvement programs requires a information-oriented mind-set of the employees. It is also assumed that successful implementation of information improvement programs require strong support from s corporate culture that emphasizes continues improvement. Adopting the competing values model of Quinn and McGrath(1985), corporate culture is classified into 'flexible' versus 'controlled culture' and 'outer-directed' versus 'inner-directed culture'. This study examined how such fitness influenced the implementation of information innovation programs and business performance. Implementation of information innovation programs was measured through various factors, such as leadership, strategic information planning, human resources focus, customer and market focus, process management, and information analysis and application. Business performance was measured through non-financial performance measuresm such as employee results, process results, information results, and customer results, and through perceived financial performance measures.

• Journal of KIISE:Information Networking
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• v.36 no.5
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• pp.413-424
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• 2009

Wireless sensor network is based on an event driven system. Sensor nodes collect the events in surrounding environment and the sensing data are relayed into a sink node. In particular, when events are detected, the data sensing periods are likely to be shorter to get the more correct information. However, this operation causes the traffic congestion on the sensor nodes located in a routing path. Since the traffic congestion generates the data queue overflows in sensor nodes, the important information about events could be missed. In addition, since the battery energy of sensor nodes exhausts quickly for treating the traffic congestion, the entire lifetime of wireless sensor networks would be abbreviated. In this paper, a new congestion control method is proposed on the basis of genetic algorithm. To apply genetic algorithm, the data traffic rate of each sensor node is utilized as a chromosome structure. The fitness function of genetic algorithm is designed from both the average and the standard deviation of the traffic rates of sensor nodes. Based on dominant gene sets, the proposed method selects the optimal data forwarding sensor nodes for relieving the traffic congestion. In experiments, when compared with other methods to handle the traffic congestion, the proposed method shows the efficient data transmissions due to much less queue overflows and supports the fair data transmission between all sensor nodes as possible. This result not only enhances the reliability of data transmission but also distributes the energy consumptions across the network. It contributes directly to the extension of total lifetime of wireless sensor networks.

• Journal of Korean Society of Forest Science
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• v.109 no.4
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• pp.461-467
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• 2020

The aim of this study was to utilize Kozak's stem taper model to develop both a stem taper equation and a stem volume table for Criptomeria japonica, a tree species distributed across Korea. A total of 1,000 sample trees were cut and collected across the country to measure their diameters by stem height. The equation was then used to estimate examine their stem shapes. Our results show that the Fitness Index for the equation was 98.7%, the Mean Absolute Deviation (MAD) was -0.0142, and the MAD was 1.1640, thus indicating a high level of fitness. A statistically significant difference (p < 0.05) was also found from the analysis of discrepancies between a current table and the new table used in this study. It is therefore suggested that the new table-with data from actual stands-will contribute to enhancing the accuracy of national and municipal forest statistics and reducing losses caused by imprecise data on available forest resources.