• Journal of The Korean Society of Agricultural Engineers
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• v.66 no.4
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• pp.41-50
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• 2024

Precipitation is an important component of the hydrological cycle and a key input parameter for many applications in hydrology, climatology, meteorology, and weather forecasting research. Grid-based satellite rainfall products with wide spatial coverage and easy accessibility are well recognized as a supplement to ground-based observations for various hydrological applications. The error properties of satellite rainfall products vary as a function of rainfall intensity, climate region, altitude, and land surface conditions. Therefore, this study aims to evaluate the commonly used new global grid-based satellite rainfall product, Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS), using data collected at different spatial and temporal scales. Additionally, in this study, grid-based CHIRPS satellite precipitation data were used to evaluate the 2022 extreme drought. CHIRPS provides high-resolution precipitation data at 5 km and offers reliable global data through the correction of ground-based observations. A frequency analysis was performed to determine the precipitation deficit in 2022. As a result of comparing droughts in 2015, 2017, and 2022, it was found that May 2022 had a drought frequency of more than 500 years. The 1-month SPI in May 2022 indicated a severe drought with an average value of -1.8, while the 3-month SPI showed a moderate drought with an average value of 0.6. The extreme drought experienced in South Korea in 2022 was evident in the 1-month SPI. Both CHIRPS precipitation data and observations from weather stations depicted similar trends. Based on these results, it is concluded that CHIRPS can be used as fundamental data for drought evaluation and monitoring in unmeasured areas of precipitation.

• Korean Journal of Culture and Social Issue
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• v.29 no.4
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• pp.429-453
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• 2023

Due to recent demographic changes, employees from diverse generations now work together in organizations. Thus, there is a need for research on intergenerational cooperation. However, the lack of valid and reliable measures to capture intergenerational climate in the workplace is an obstacle to research. Therefore, we translated the Workplace Intergenerational Climate Scale(WICS) into Korean and validated it with a sample of 1,052 Korean full-time employees. Firstly, we conducted an exploratory factor analysis by using sample 1(N = 460) and revealed a five-factor solution. Secondly, the confirmatory factor analysis(sample 2; N = 592) showed a good model fit of the correlated five-factor model. Thirdly, the scale's discriminant and convergent validity was supported by negative correlations with four types of existing ageism scales and by positive correlations with trust, organizational commitment, work engagement, psychological safety, intention to remain, job satisfaction, and communication satisfaction. Moreover, it further demonstrated significant incremental validity in predicting positive outcome variables even when controlling for pre-existing agism scales. Lastly, we confirmed strict measurement invariance of the scale between the age groups(below 40 versus above 40). The findings support the reliability and validity of the Korean version of WICS among Korean employees. The scale will be broadly applied to measure intergenerational climate of organizations and provide practical implications for HR management.

• Proceedings of the KSR Conference
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• 2010.06a
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• pp.2058-2063
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• 2010

United Nations Framework Convention on Climate Change(UNFCCC) is one of the international environmental convention with the goal of stabilizing Greenhouse Gas(GHG) concent in the atmosphere and preventing potentially dangerous change in the earth's climate. The purpose of this convention is to reduce fossil fuel consumption and to prevent GHG emission. The Republic of Korea was one of the Annex-II parties submitted its national communication to the UNFCCC. As a developing county, there is no GHG emission reduction commitments made by South Korea during first commitment period(2008~2012). On the contrary, South Korea' status as an OECD member, joining in 1996, ranks 6th in GHG emission. Furthermore the rate of increase of GHG is first among OECD countries in year 2005. As a result, Korea will probably be incorporated into Annex-I in second commitment period (after 2013). So, Korea government established and announced Voluntary GHG Reduction scheme to reduce emissions of 4%(accounting for 30% reduction base on Business As Usual) from the 2005 level by the year 2020 for mitigation of reduction duty impact. In specific case of Korea, transportation section occupied almost 21% of total energy consumption and nearly 17% of total GHG emission at 2005, so systematic emission management is required. To do so, in this research, we focus on systematic way of GHG management system to handle GHG reduction duties in Railroad section.

• Journal of The Korean Digital Architecture Interior Association
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• v.7 no.2
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• pp.9-17
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• 2007

After 20th century, The using of data tend to important in a sphere of architecture. The recent European including MVRDV, Rem Koolhaas, Van Verkel and Zaha Hadid tend to the their own design strategy based on the objective data. This architectural design method leads to make new paradigm of contemporary architecture. For the purpose of the understanding a part of new architecture paradigm(datascping), I will analyze the relation of Thing system and Formation system in 36 works of MVRDV from 1992 to 2006. As a results are as follows. The purpose The results of this research are as follows: First, The physical and social elements(Thinking system) are density of site, networking, lighting & vista, micro-climate, energy, noise & vibration, life style, city, communication and variety. Second, The Formation system is layering & stacking, open & close, folding & extending and eco-friendly design. Finally, the major matrix of MVRDV's works is pragmatic and systematic approach to the lighting, climate and variety of community.

• The Journal of Economics, Marketing and Management
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• v.6 no.2
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• pp.5-20
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• 2018

Purpose- The study aims to understand the perception of the employees regarding employee relations, organizational culture, employee welfare and job design within the organization. Research design, data, and methodology - It is a descriptive study. A climate survey was conducted on the staff of NTPC, Badarpur. The sample size is 100. The data has been analyzed using excel and SPSS. Results - The study finds the lack of free flow of communication with the information by the top and middle management to lower levels, lack of existence of positive attitude, lack of recreational activities to bring stress level down. NTPC, Badarpur is an association which gives a wide range of offices to its workers along these lines giving fulfilment to its representatives all things considered. Conclusions - Correspondence network ought to be entirely clung to all the more free stream of correspondence by top and center administration. Greater lucidity with respect to expected set of responsibilities might be useful. Orderly enlistment is required. Human Asset prerequisites in groups should be re looked guaranteeing sufficient colleagues in a group. Workers are submitted towards association's objective. NTPC, Badarpur ought to move with the developing advancements so it can adapt up to the quicker rivalry.

• Korean Journal of Agricultural and Forest Meteorology
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• v.20 no.1
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• pp.18-33
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• 2018

A new eddy covariance-based flux tower has been established since June 2016 in a dry direct-seeding rice paddy field in southwestern Korea - Haenam Paddy field KoFlux site (HPK). To assess the competitiveness of direct-seeding agricultural technique in the context of climate-smart agriculture, we have been monitoring the $CO_2$, $CH_4$ and energy fluxes continuously. In this communication, we (1) introduce the HPK site and (2) explain the structure and processes of the HPK-specific data processing and quality control. The latter consists of 10-steps data processing and quality control procedures following the KoFlux standardized protocol and explained each step in layman's term. The final data produced during the data processing were stored in NCAM-DAPS (National Center for AgroMeteorology-Data Acquisition and Processing System, http://daps.ncam.kr). We hope that the introduction of new HPK KoFlux site would serve as a platform to facilitate transdisciplinary efforts in the research and education associated with climate-smart agriculture toward sustainability.

• Journal of The Korean Society of Agricultural Engineers
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• v.62 no.2
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• pp.39-52
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• 2020

A high quality, long-term, high-resolution precipitation dataset is an essential in climate analyses and global water cycles. Rainfall data from station observations are inadequate over many parts of the world, especially North Korea, due to non-existent observation networks, or limited reporting of gauge observations. As a result, satellite-based rainfall estimates have been used as an alternative as a supplement to station observations. The Climate Hazards Group Infrared Precipitation (CHIRP) and CHIRP combined with station observations (CHIRPS) are recently produced satellite-based rainfall products with relatively high spatial and temporal resolutions and global coverage. CHIRPS is a global precipitation product and is made available at daily to seasonal time scales with a spatial resolution of 0.05° and a 1981 to near real-time period of record. In this study, we analyze the applicability of CHIRPS data on the Korean Peninsula by supplementing the lack of precipitation data of North Korea. We compared the daily precipitation estimates from CHIRPS with 81 rain gauges across Korea using several statistical metrics in the long-term period of 1981-2017. To summarize the results, the CHIRPS product for the Korean Peninsula was shown an acceptable performance when it is used for hydrological applications based on monthly rainfall amounts. Overall, this study concludes that CHIRPS can be a valuable complement to gauge precipitation data for estimating precipitation and climate, hydrological application, for example, drought monitoring in this region.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.24 no.7
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• pp.904-913
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• 2020

As the data volumes and complexity rapidly increase, data-intensive science handling large-scale scientific data needs to investigate new techniques for intelligent storage and data distribution over networks. Recently, Named Data Networking (NDN) and data-intensive science communities have inspired innovative changes in distribution and management for large-scale experimental data. In this article, analysis on NDN testbeds for large-scale scientific data such as climate science data and High Energy Physics (HEP) data is presented. This article is the first attempt to analyze existing NDN testbeds for large-scale scientific data. NDN testbeds for large-scale scientific data are described and discussed in terms of status, NDN-based application, and features, which are NDN testbed instance for climate science, NDN testbed instance for both climate science and HEP, and the NDN testbed in SANDIE project. Finally various issues to prevent pitfalls in NDN testbed establishment for large-scale scientific data are analyzed and discussed, which are drawn from the descriptions of NDN testbeds and features on them.

• Electronics and Telecommunications Trends
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• v.36 no.1
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• pp.54-63
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• 2021

Since the recent COVID-19 pandemic, countries have been strengthening trade protection for their security, and the importance of securing strategic materials, such as food, is drawing attention. In addition to the cultural aspects, the global preference for food produced in Korea is increasing because of the Korean Wave. Thus, the Korean food industry can be developed into a high-value-added export food industry. Currently, Korea has a low self-sufficiency rate for foodstuffs apart from rice. Korea also suffers from problems arising from population decline, aging, rapid climate change, and various animal and plant diseases. It is necessary to develop technologies that can overcome the production structures highly dependent on the outside world of food and foster them into export-type system industries. The global agricultural industry-related technologies are actively being modified via data accumulation, e.g., environmental data, production information, and distribution and consumption information in climate and production facilities, and by actively expanding the introduction of the latest information and communication technologies such as big data and artificial intelligence. However, long-term research and investment should precede the field of living organisms. Compared to other industries, it is necessary to overcome poor production and labor environment investment efficiency in the food industry with respect to the production cost, equipment postmanagement, development tailored to the eye level of field workers, and service models suitable for production facilities of various sizes. This paper discusses the flow of domestic and international technologies that form the core issues of the site centered on the 4th Industrial Revolution in the field of agriculture, livestock, and fisheries. It also explains the environmental awareness production technologies centered on sustainable intelligence platforms that link climate change responses, optimization of energy costs, and mass production for unmanned production, distribution, and consumption using the unstructured data obtained based on detection and growth measurement data.

• International Journal of Internet, Broadcasting and Communication
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• v.12 no.1
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• pp.130-136
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• 2020

There are many problems that occur currently in agriculture industries. The problems such as unexpected of changing weather condition, lack of labor, dry soil were some of the reasons that may cause the growth of the plants. Condition of the weather in local area is inconsistent due to the global warming effect thus affecting the production of the crops. Furthermore, the loss of farm labor to urban manufacturing jobs is also the problem in this industry. Besides, the condition for the plant like air humidity, air temperature, air quality index, and soil moisture are not being recorded automatically which is more reason for the need of implementation system to monitor the data for future research and development of agriculture industry. As of this, we aim to provide a solution by developing IoT-based platform along with the irrigation for increasing crop quality and productivity in agriculture field. We aim to develop a smart garden system environment which the system is able to auto-monitoring the humidity and temperature of surroundings, air quality and soil moisture. The system also has the capability of automating the irrigation process by analyzing the moisture of soil and the climate condition (like raining). Besides, we aim to develop user-friendly system interface to monitor the data collected from the respective sensor. We adopt an open source hardware to implementation and evaluate this research.