• Journal of Positioning, Navigation, and Timing
• /
• v.11 no.4
• /
• pp.327-332
• /
• 2022

The Korea Augmentation Satellite System (KASS) is the Satellite-Based Augmentation System (SBAS) under development in Korea. KASS navigation service support navigation Safety of Life (SoL) service. KASS signal provides corrections to Global Positioning System (GPS) data received from KASS Reference Stations (KRS) and is broadcast form Geostationary Earth Orbiting (GEO) satellites to KASS users and is used by GPS/SBAS user equipment to improve the accuracy, availability, continuity and integrity of the navigation solution. Seven KRS's collect the satellite data and send them to the KASS Processing Stations (KPS) for the generation of the corrections and the monitoring the integrity. For performing its computation the KPS needs to know accurate and reliable KRS antennas coordinates. These coordinates are provided as configuration parameters to the KPS. This means that the reference frame in which the KPS work is the one represented by the set of coordinates provided as input. Therefore, the activity to maintain the accuracy of the KRS antenna coordinates is necessary, knowing that coordinates can evolve due to earth plates movements or earthquakes. In this paper, we analyzed the geodetic survey results for KRS antenna coordinates from Site Acceptance Test (SAT) #1 in December 2020 to August 2022. In the future, it is expected that these activities and planning for KRS coordinates maintenance will be produced and provided to KASS system operators for KPS configuration updates during the KASS lifetime of 15 years. Through these maintenance activities, it is expected that monitoring and analysis of unpredictable events such as earthquakes and seism will be possible in the future.

• Transactions of the Korean hydrogen and new energy society
• /
• v.31 no.6
• /
• pp.509-521
• /
• 2020

This study aims to propose a mid- to long-term fostering plan for the hydrogen industry customized to Changwon City by reviewing the government's policy and the status of the domestic and foreign hydrogen industry. The adopted methodologies were policy analysis, literature review, field investigation, and committee operation that could consider institutions, knowledge (technology), and networking between activity subjects. The short-term projects and long-term projects for the fostering plan are established using these methodologies. The short-term projects were structured so that the ongoing hydrogen industry fostering plan leads to a successful result, and the hydrogen mobility field is expanded to not only land vehicles but also marine and air vehicles. The long-term projects consist of a high proportion of the hydrogen utilization field to take advantage of the industrial strength of Changwon City, and a support system for new and turning companies for localization of parts was added to provide industrial competitiveness.

• Advances in concrete construction
• /
• v.11 no.5
• /
• pp.419-428
• /
• 2021

The pH of cement-based materials (CBMs) is an important factor for their durability, sustainability, and long service life. Currently, the use of supplementary cementitious materials (SCMs) is becoming mandatory due to economic, environmental, and sustainable issues. There is a decreasing trend in pH of CBMs due to incorporation of SCMs. The determination of numerical values of pH is very important for various low and high volume SCMs blended cement mortars for the better understanding of different defects and durability issues during their service life. In addition, the effect of cement hydration and pozzolanic reaction of SCMs on the pH should be determined at initial and later ages. In this study, the effect of low and high-volume fly ash (FA) and ground granulated ballast furnace slag (GGBFS) cement mortars in different curing conditions on their pH values has been determined. Thermal gravimetric analysis (TGA) was carried out to support the findings from pH measurements. In addition, thermal conductivity (k-value) and strength activity indices of these cement mortars were discussed. The results showed that pH values of all blended cement mortars were less than ordinary Portland cement (OPC) mortar in all curing conditions used. There was a decreasing tendency in pH of all mortars with passage of time. In addition, the pH of cement mortars was not only dependent on the quantity of Ca(OH)₂. The effect of adding SCMs on the pH value of cement mortar should be monitored and measured for both short and long terms.

• Journal of The Korean Society of Agricultural Engineers
• /
• v.63 no.1
• /
• pp.75-87
• /
• 2021

Air quality related to particulate matters and ammonia is being come to the fore as the national concern in Korea. CAPSS (Clean Air Policy Support System) provides emission coefficients of these kinds of particulate and gaseous matters in the fields of livestock; however reliability issues are consistently mentioned. Evaluation of emission rates of PM2.5 and NH3 of the country is very important, but only few studies are available as the background related to observation of the concentration of the particulate matter and ammonia, especially within livestock house in Korea. In this paper, long-term measurement of PM10, PM2.5, and ammonia within the mechanically ventilated broiler house were carried out to introduce backgrounds of generation and emission of the particulate matters and ammonia. Measurement results were analyzed according to seasonal changes, age of broilers(weeks) and measurement locations. Concentration of inhalable and respirable dust were also evaluated in terms of occupational respiratory health according to increase in broiler's activity. From the results of this study, identification of the generation mechanisms of the particulate and gaseous matters, and evaluation of the emission rate of these in the broiler house will be carried out.

• International Journal of Computer Science & Network Security
• /
• v.21 no.6
• /
• pp.319-328
• /
• 2021

Parallel administration of numerous drugs increases Drug-Drug Interaction (DDI) because one drug might affect the activity of other drugs. DDI causes negative or positive impacts on therapeutic output. So there is a need to discover DDI to enhance the safety of consuming drugs. Though there are several DDI system exist to predict an interaction but nowadays it becomes impossible to maintain with a large number of biomedical texts which is getting increased rapidly. Mostly the existing DDI system address classification issues, and especially rely on handcrafted features, and some features which are based on particular domain tools. The objective of this paper to predict DDI in a way to avoid adverse effects caused by the consumed drugs, to predict similarities among the drug, Drug pair similarity calculation is performed. The best optimal weight is obtained with the support of KHA. LSTM function with weight obtained from KHA and makes bets prediction of DDI. Our methodology depends on (LSTM-KHA) for the detection of DDI. Similarities among the drugs are measured with the help of drug pair similarity calculation. KHA is used to find the best optimal weight which is used by LSTM to predict DDI. The experimental result was conducted on three kinds of dataset DS1 (CYP), DS2 (NCYP), and DS3 taken from the DrugBank database. To evaluate the performance of proposed work in terms of performance metrics like accuracy, recall, precision, F-measures, AUPR, AUC, and AUROC. Experimental results express that the proposed method outperforms other existing methods for predicting DDI. LSTMKHA produces reasonable performance metrics when compared to the existing DDI prediction model.

• Journal of Information Technology Services
• /
• v.20 no.2
• /
• pp.127-146
• /
• 2021

Donation-based crowdfunding(DBC) is conducted from voluntary participation by project operators. It requires a different operational strategy than general crowdfunding. However, there is a limited amount of research on the operational strategy of DBC. This study explores the value co-creation(VCC) strategy of DBC and analyzes the operation of DonorsChoose.org. The research questions encompass the following: First, we identify the VCC activities of DBC. Second, we uncover activities of the platform operators that facilitate the participation of project operators in VCC activities. Third, we explore how VCC activities affect project operational performance and platform performance in DBC. By adopting a single case study method on DonorsChoose.org, this study provides meaningful insight and detailed understanding into the VCC in DBC. First, VCC processes of DBC are identified(Co-ideation, Co-design, Co-funding, Co-operation, and Co-evaluation). Also, interactions between platform operators and project operators were defined at each stage. Second, this study confirmed that standardization and simplification of platform operators, support for pre- and post-activity, and high-quality information delivery activities were critical. Third, we confirm that these VCC activities improve VCC operational performance and platform performance. The theoretical significance of this study is that the concept of VCC, previously concentrated on participants with economic drivers(consumers and investors), has been applied to the context of DBC, a form of participation by participants with non-economic drivers(supporters and donors). In addition, this study practically contributes to the practice of VCC strategy among various platform operating strategies in DBC.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.25 no.2
• /
• pp.208-213
• /
• 2021

The use of computers has increased greatly, and services have been developed very much for the convenience of users. As the use of computers increases, human activity has declined, and symptoms of deterioration in health are increasing. As the time to sit and live increased, humans are more exposed to diseases of low back pain, and low back pain includes pain related to the lower back centering on the herniated disc. Most of the back pain is caused by abnormalities in the muscles and ligaments that support the spine and trunk. In this paper, we present an overall design for developing an app that can obtain lumbar exercise effects to reduce low back pain or help treatment. In order to use this effectively, we propose a plan to obtain lumbar exercise effect, and aim to present an app design that can help effectively treat low back pain by using graphic-based guidance points.

• Korean Journal of Fisheries and Aquatic Sciences
• /
• v.54 no.2
• /
• pp.194-207
• /
• 2021

It is necessary to assess and manage the different elements of the marine ecosystem, such as climate change, habitat, primary and secondary production, energy flow, food web, potential yield, and fishing, to maintain the health of the ecosystem as well as support sustainable development of fishery. We set up an ecosystem model around the Korean peninsula to produce scientific predictions necessary for the assessment and management of marine ecosystems and presented the usability of the model with scenario experiments. We used the Atlantis ecosystem model based on the marine food web; Atlantis is a three-dimensional end-to-end model that includes the information and processes within an entire system, from an abiotic environment to human activity. We input the ecological and biological parameters, such as growth, mortality, spawning, recruitment, and migration, to the Atlantis model via functional groups using existing research and local measurements. During the simulation period (2018-2019), we confirmed that the model reproduced the observed data reasonably and reflected the actual ecosystem characteristics appropriately. We thus identified the usability of a marine ecosystem model with experiments on different environmental change scenarios.

• The Journal of the Convergence on Culture Technology
• /
• v.8 no.1
• /
• pp.157-166
• /
• 2022

This study is a literature analysis study that analyzed program intervention research papers to understand the characteristics of lifestyle intervention programs to prevent cardiovascular disease. The final 18 papers were selected by applying search terms such as "cardio-cerebrovascular disease" and "intervention" through electronic databases such as Pubmed. As for the criteria for selecting program participants in the study, physiological criteria were mainly used, and there were many programs that mediated physical activity and eating habits. Education was the most widely used intervention type, and there were many studies that combined and applied several interventions. During the intervention period, long-term interventions averaged more than 22 weeks, and biophysical indicators were most frequently used as effect indicators for measuring the intervention effect. Through this study, it is suggested that environmental and social support is needed to develop intervention programs considering the interrelationship of various lifestyle habits and maintain healthy lifestyle habits.

• Journal of Preventive Medicine and Public Health
• /
• v.55 no.4
• /
• pp.313-320
• /
• 2022

The KoreaN Cohort Study for Outcomes in Patients With Chronic Kidney Disease (KNOW-CKD) was launched in 2011 with the support of the Korea Disease Control and Prevention Agency. The study was designed with the aim of exploring the various clinical features and characteristics of chronic kidney disease (CKD) in Koreans, and elucidating the risk factors for CKD progression and adverse outcomes of CKD. For the cohort study, nephrologists at 9 tertiary university-affiliated hospitals participated in patient recruitment and follow-up. Biostatisticians and epidemiologists also participated in the basic design and structuring of the study. From 2011 until 2016, the KNOW-CKD Phase I recruited 2238 adult patients with CKD from stages G1 to G5, who were not receiving renal replacement therapy. The KNOW-CKD Phase II recruitment was started in 2019, with an enrollment target of 1500 subjects, focused on diabetic nephropathy and hypertensive kidney diseases in patients with reduced kidney function who are presumed to be at a higher risk of adverse outcomes. As of 2021, the KNOW-CKD investigators have published articles in the fields of socioeconomics, quality of life, nutrition, physical activity, renal progression, cardiovascular disease and outcomes, anemia, mineral bone disease, serum and urine biomarkers, and international and inter-ethnic comparisons. The KNOW-CKD researchers will elaborate a prediction model for various outcomes of CKD such as the development of end-stage kidney disease, major adverse cardiovascular events, and death.