• Journal of Convergence for Information Technology
• /
• v.9 no.5
• /
• pp.65-76
• /
• 2019

The purpose of this study was to investigate breast cancer its menopause in South Korean adult women using data from the seventh Korea national health and nutrition examination survey(KNHANES VII-2) 2017. The subjects were 3,414 people in total. The Data were analyzed by frequency, ${\chi}^2$ test and multiple logistic regression analysis using SPSS complex samples Win 25 program. According to the age of the subjects, breast cancer was 1.7% higher in women aged 50~59 years than aged 40~49 years, and 1.7% was significantly more frequent in women who had no drinking frequency than in almost everyday. Menopausal age was significantly higher in women under 44 years of age with breast cancer than in those over 50 years of age. According to menopause, postmenopausal breast cancer was 1.7% more than before menopause. When adjusted for age and alcohol drinking frequency, premenopausal adult women in Korea had significantly lower breast cancer frequency by 0.03 compared with postmenopausal women. Based on these results, it is important to pay attention to the management of breast cancer in young women aged 44 years or younger and multidisciplinary efforts are needed to reduce the ever-increasing prevalence of breast cancer.

• Journal of Environmental Health Sciences
• /
• v.47 no.3
• /
• pp.267-278
• /
• 2021

Objectives: Using atmospheric dispersion representative models (AERMOD and CALPUFF), the emissions characteristics of each model were compared and analyzed in ready-mixed concrete manufacturing facilities that generate a large amount of particulate matter (PM-10, PM-2.5). Methods: The target facilities were the ready-mixed concrete manufacturing facilities (Siheung RMC, Goyang RMC, Ganggin RMC) and modeling for each facility was performed by dividing it into construction and operation times. The predicted points for each target facility were selected as 8-12ea (Siheung RMC 10, Goyang RMC 8, and Gangjin RMC 12ea) based on an area within a two-kilometer radius of each project district. The terrain input data was SRTM-3 (January-December 2019). The meteorological input data was divided into surface weather and upper layer weather data, and weather data near the same facility as the target facility was used. The predicted results were presented as a 24-hour average concentration and an annual average concentration. Results: First, overall, CALPUFF showed a tendency to predict higher concentrations than AERMOD. Second, there was almost no difference in the concentration between the two models in non-complex terrain such as in mountainous areas, but in complex terrain, CALPUFF predicted higher concentrations than AERMOD. This is believed to be because CALPUFF better reflected topographic characteristics. Third, both CALPUFF and AERMOD predicted lower concentrations during operation (85.2-99.7%) than during construction, and annual average concentrations (76.4-99.9%) lower than those at 24 hours. Fourth, in the ready-mixed concrete manufacturing facility, PM-10 concentration (about 40 ㎍/m³) was predicted to be higher than PM-2.5 (about 24 ㎍/m³). Conclusions: In complex terrain such as mountainous areas, CALPUFF predicted higher concentrations than AERMOD, which is thought to be because CALPUFF better reflected topographic characteristics. In the future, it is recommended that CALPUFF be used in complex terrain and AERMOD be used in other areas to save modeling time. In a ready-mixed concrete facility, PM-10, which has a relatively large particle size, is generated more than PM-2.5 due to the raw materials used and manufacturing characteristics.

• Journal of the Korea Convergence Society
• /
• v.13 no.3
• /
• pp.275-280
• /
• 2022

This study investigated the perception and attitudes toward drug abuse among young people entering from adolescence to adulthood, and analyzed based on 1076 analytic questionnaires. Looking at the gender of the young people who participated in the survey, 699 men and 377 women had high awareness of methamphetamine, marijuana, bond, and propofol among abused drugs. It was found that 384 people (35.7%) were well aware of the dangers of drugs of abuse, but 249 people (23.1%) were well aware of the various problems caused by drugs of abuse, and 442 said they did not know. The number of people (41.1%) was almost twice as high. As for the desirable method to improve the problem of drug abuse, strong punishment were the highest at 53.6%, and school essential education was found to be an effective educational method for drug abuse prevention at 53.5%. Therefore, publicity or education projects for drug abuse prevention should be conducted more realistically, and a prevention education program that young people can empathize with should be developed. In addition, it is thought that it should help to establish a sound foundation for becoming an adult through proper education.

• Journal of Internet Computing and Services
• /
• v.6 no.6
• /
• pp.99-106
• /
• 2005

The task scheduling in multiprocessor system Is one of the key elements in the effective utilization of multiprocessor systems. The optimal assignment of tasks to multiprocessor is, in almost all practical cases, an NP hard problem. Consequently various modern heuristics based algorithms have been proposed for practical reason. Recently, several approaches using Genetic Algorithm (GA) are proposed. However, these algorithms have only one objective such as minimizing cost and makespan. This paper proposes a new task scheduling algorithm using Genetic Algorithm combined simulated annealing (GA+SA) on multiprocessor environment. In solution algorithms, the Genetic Algorithm (GA) and the simulated annealing (SA) are cooperatively used. In this method. the convergence of GA is improved by introducing the probability of SA as the criterion for acceptance of new trial solution. The objective of proposed scheduling algorithm is to minimize makespan and total number of processors used. The effectiveness of the proposed algorithm is shown through simulation studies. In simulation studies, the results of proposed algorithm show better than that of other algorithms.

• Journal of Digital Convergence
• /
• v.12 no.8
• /
• pp.219-227
• /
• 2014

Ethernet, ATM, and CAN are wide-utilized communication protocols for information transfer by internet. Many researches about Network Time-delay have been based on network modeling. But almost of them have not shown an optimal solution in various communication environments. So, asynchronous sample system modeling based internet is needed to be robust in various network environments. Also as closed loop system in internet has a different operational characteristics and noise characteristics comparing with conventional control system, new robust control method is needed in instruments which demand to be safe and precise for internet environments. In order to achieve the safe and precise real-time control in remote plant, this paper is aimed to analysis the transfer characteristics and time-delay of control system in cluster web server.

• Journal of information and communication convergence engineering
• /
• v.9 no.6
• /
• pp.641-646
• /
• 2011

In this paper, we investigate a power control problem which is very critical in underlay-based spectrum sharing systems. Although an underlay-based spectrum sharing system is more efficient compared to an overlay-based spectrum sharing system in terms of spectral utilization, some practical problems obstruct its commercialization. One of them is a real-time-based power adaptation of secondary transmitters. In the underlay-based spectrum sharing system, it is essential to adapt secondary user's transmit power to interference channel states to secure primary users' communication. Thus, we propose a practical power control scheme for secondary transmitters. The feedback overhead of our proposed scheme is insignificant because it requires one-bit signaling, while the optimal power control scheme requires the perfect information of channel states. In addition, the proposed scheme is robust to feedback delay. We compare the performance of the optimal and proposed schemes in terms of primary user's outage probability and secondary user's throughput. Our simulation results show that the proposed scheme is almost optimal in terms of both primary user's outage probability and secondary user's throughput when the secondary user's transmit power is low. As the secondary user's transmit power increases, the primary user's outage probability of the proposed scheme is degraded compared with the optimal scheme while the secondary user's throughput still approaches that of the optimal scheme. If the feedback delay is considered, however, the proposed scheme approaches the optimal scheme in terms of both the primary user's outage probability and secondary user's throughput regardless of the secondary user's transmit power.

• The Journal of the Convergence on Culture Technology
• /
• v.3 no.4
• /
• pp.101-106
• /
• 2017

This paper investigates how news media frame news editorials to deliver their subjective ideological stance through news discourse related with two candidates in 2016 U.S presidential election. For this purpose, 13 editorials were chosen and analyzed which appeared on the New York Time for the period from Sept. 1 to Sept. 30, almost two months prior to the election, giving special attention to the headlines of those editorials and the expressive linguistic forms in the selected two articles, based on the two theoretical frameworks-van Dijk' (1996)'s ideological square and Martin and White (2005)'s Appraisal Theory. The results are as follows: (1) editorials clearly supported Hillary Clinton; (2) following the appraisal theory, the category of 'feeling' was applied in expressing the preference for Hillary, whereas the strategy of judgment for Trump, where the strategy of 'emphasis' from the ideological framework were used for both candidates.

• Journal of Digital Convergence
• /
• v.13 no.10
• /
• pp.9-17
• /
• 2015

China is the largest e-commerce market in the world. The Chinese online retail market is almost 40% larger than the US, and together these markets account for more than 55% of worldwide e-commerce. The Korea China FTA is likely to facilitate e-commerce activity between the two countries, as well as trade in the goods and services that enable e-commerce. Korean consumer goods can enjoy the benefits of the FTA because it has a competitive advantage in the Chinese market in terms of technology and quality. The purpose of this study is to examine legal issues of e-commerce chapters of the Korea China FTA and policy implications. Results of the study show that several implications based on the export vitalization of cross-border e-commerce of Korean products are offered. The Korean government needs to do the following: prepare for the subsequent negotiation of the e-commerce agreement, prepare for the classification issue of electronic transmissions, require mutual recognition of electronic authentication and electronic signatures, prepare for e-commerce dispute settlement mechanism and establish of strategies for the export vitalization of e-commerce.

• The Transactions of the Korea Information Processing Society
• /
• v.3 no.7
• /
• pp.1763-1772
• /
• 1996

The conventional training set selection methods for the satellite image classification usually depend on the manual selection using data from the direct measurements of the ground or the ground map. However this task takes much time and cost, and some feature values vary in wide ranges even if they are in the same class. Such feature values can increase the robustness of the neural net but learning time becomes longer. In this paper,we propose anew training set selection algorithm using a rule-based method. By the technique proposed, the SPOT multispectral Imagery is classified in 3 bands, and the pixels which satisfy the rule are employed as the training sets for the neutralist classifier. The experimental results show faster initial convergence and almost the same or better classification accuracy. We also showed an improvement of the classification accuracy by using texture features and NDV1.

• The Transactions of The Korean Institute of Electrical Engineers
• /
• v.67 no.11
• /
• pp.1477-1485
• /
• 2018

There are two major issues for activated sludge process in sewage treatment plant. One is how to make sewage be more clean and the other is the energy saving in sewage treatment process. The major monitoring sewage qualities are chemical oxygen demand, phosphorus, nitrogen, suspended solid in effluent. These are transmitted to the national TMS(Telemetry Monitoring System) at every hour. If these exceed the environmental standard, the environmental charges imposed. So, these water qualities are to be controlled below the environmental standard in operation of sewage treatment plant. And recently, the energy saving is also important in process operation. Over 50% energy is consumed in blowers and motors for injection oxygen into aeration tank. So, with the water qualities to be controlled below the environmental standard, the energy saving also is to be accomplished for efficient plant management. Almost researches are aimed to control water quality without considering energy saving. AI techniques have been used for control water quality. AI modeling simulator provided the optimal control inputs(blower speed, waste sludge, return sludge) for control water quality. Blower speed is the main control input for activated sludge process. To make sewage be more clean, the excessive blower speed is supplied, but water quality is not better than the previous. In results, non necessary energy is consumed. In this paper we propose a new method that the energy saving also is to be accomplished with the water qualities to be controlled below the environmental standard for efficient plant management. Water qualities in only aeration tank are used the inputs of fuzzy models. Outputs of these models are chemical oxygen demand, phosphorus, nitrogen, suspended solid in effluent and have the environmental standards. In test, we found this method could save 10% energy than the previous methods.