• Asia-Pacific Journal of Business
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• v.6 no.1
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• pp.59-82
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• 2015

According to the survey on the state of practical usage and present situation of FTAs, conducted among trade companies operating in Shandong province in 2014, more than 90% of companies are believed to be small and medium sized enterprises. Therefore this study tries to test what impact the awareness and utilization of an FTA have on its outcome among trade companies operating in Shandong province as well as partner countries and other trade companies. The research results are as follows. First, we found a positive correlation between 1) a company's global orientation (as measured in export density as a percentage of profit) and 2) its competitiveness (as measured in annual sales), and a company's degree of utilization of FTA provisions. Second, One of the findings is that the more aware of the (exporting) HS code, conventional tariffs and the process of issuing C/O the companies from Shandong province are the more they actually use (utilize) an FTA inpractice. Another interesting finding is that the more aware of the (exporting) HS code and conventional tariffs the enterprises are the higher is their practical usage level of an FTA. Third, however, at the time of this study's completion, FTA utilization was not yet positively correlated with statistically significant performance results. Therefore, to increase the utilization and performance of FTA, the China government have to make a efficient business models for each industry and support the small and mid-size businesses including Shandong province's SMEs.

• The Journal of the Korea institute of electronic communication sciences
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• v.9 no.11
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• pp.1241-1248
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• 2014

An efficient battery usage of sensor nodes is main goal in a sensor network, which is the substructure of Internet of Things. Maximizing the battery usage of sensor nodes makes the lifetime of sensor network increase as well as the reliability of the network improved. The previous solutions to solve these problems are mainly focused on the cluster head selection based on the remaining energy. In this paper, we consider both the head selection and the replacement interval which is determined by a threshold that is based on the remaining energy, density of alive nodes, and location. Our simulation results show that the proposed scheme has outstanding contribution in terms of maximizing the life time of the network and balancing energy consumption of all nodes.

• Transactions of the Korean hydrogen and new energy society
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• v.30 no.2
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• pp.155-162
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• 2019

The energy management technology for an independent fuel cell-battery hybrid system is developed for a household usage. To develop an efficient energy management technology, a simulation model is first developed. After the model is verified with experimental results, three energy management schemes are developed. Three control techniques are a fuzzy logic control (FLC), a state machine control (SMC), and a hybrid method of FLC and SMC. As the fuel cell-battery hybrid system is used for a house, battery state of charge (SOC) regulation is the most important factor for an energy management because SOC should be kept constant every day for continuous usage. Three management schemes are compared to see SOC, power split, and fuel cell power variations effects. Experimental results are also presented and the most favorable strategy is the state machine combined fuzzy control method.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.47 no.6
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• pp.137-145
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• 2010

Digital vessel have to accurate and efficient mange the digital data from various sensors in the digital vessel. But, In sensor network, it is difficult to transmit and analyze the entire stream data depending on limited networks, power and processor. Therefore it is suitable to use alternative stream data processing after classifying the continuous stream data. In this paper, We propose efficient processing method that arrange some sensors (temperature, humidity, lighting, voice) and process query based on sliding window for efficient input stream and pre-clustering using multiple Support Vector Machine(SVM) algorithm and manage hash table to summarized information. Processing performance improve as store and search and memory using hash table and usage reduced so maintain hash table in memory. We obtained to efficient result that accuracy rate and processing performance of proposal method using 35,912 data sets.

• The Journal of Engineering Geology
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• v.29 no.4
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• pp.417-425
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• 2019

Agricultural groundwater use accounts for 51.8% of total groundwater use, so accurate estimation of groundwater use is important for efficient groundwater management. The purpose of this study is to develop a method for estimating the groundwater use of agricultural (rice farming and dry-field farming) wells using regression tree model based on the measured data of 370 wells. Three input variables of the model were evaluated as being significant: well depth, pipe diameter, and pump capacity, and the importance of each variable was 75% for well depth, 17% for pipe diameter, and 8% for pumping capacity. The daily usage of agricultural (rice farming and dry-field farming) wells by the regression tree model was estimated to be very similar to the actual usage, compared to the previous estimation method proposed by the Ministry of Construction and Transportation. In the future, it is expected that the reliability of the usage statistics will be improved if additional observed data is secured and this classification method is modified.

• Korean Institute of Interior Design Journal
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• no.15
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• pp.86-93
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• 1998

An Apartment Veranda is a transitive space which is being used for many different purpose. A Rear Veranda which is connected to the kitchen is an important space for the housekeeping work and it should be planned carefully to reflect the rational and functional designs. Therefore the objective of this research is to suggest a systematic basis for the practical space planning of the Rear veranda that meets the varied needs of consumers by examining its usage pattern through the analysis of the apartment occupant's behavior pattern stored item the degree of satisfaction and consumer requirements. The research was conducted mainly on apartments built after 1990. The following are the conclusions from the research : 1. Most of the research respondents were aware of the absolute need for the Rear veranda. But they expressed dissatisfaction with the space usage. This indicates that the Rear Veranda planning does not reflect the functionality of the space and concentrates on the idea of providing consumers a service space based on the size of the apartment instead. 2. Although the Rear veranda is used as the multipurpose housework space it is mainly used as the laundry and storage space. This shows a big deviation from the concept of the utility space. Because the behavior pattern associated with the Rear Veranda is largely influenced by the traditional life pattern the development of the Rear Veranda as an exclusive space for the housekeeping work. 3. According to a high frequency of the storage of the laundry related item in the Rear Veranda indicated by the research the Rear veranda is used as the laundry room as well as a auxiliary storage space by most people. The installation of gas range is expected to increase due to the expansion of the usage function of the Rear Veranda space. The installation of a specialized refrigerator to store the traditional food is demanded. 4. Consumers need more efficient and functional storage device because the temporary shelves are often being used as the storage device. The perception of the storage device is assumed to have been influence by the traditional life style.

• Korean Institute of Interior Design Journal
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• v.27 no.1
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• pp.58-67
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• 2018

This study aims to analyze the cases of storage space outside housing unit and propose the activation plan. The issue of storage in residential complex has continued to be reported. This is more salient due to the recent preference trend for small houses, the constant increase of living goods and the limitation of the available space inside housing unit. Although more apartment houses are trying to have individual storage in the exterior space to address these issues, there is still a paucity of the related studies and more studies are required. In this study, we conducted on-site investigation and user interview of each case to propose active usage of the storage space outside housing unit. Result of this study shows that the most crucial factor to improve is 'accessibility' in order to activate the storage space. Storage room should be located close to each household or the individual parking space. The second factor is the size and the structure of the storage room. The sufficient space for keeping and taking large objects out are required. The front of the storage room should have a clogged structure to insure privacy. The third is the provision of suitable support programs such as the system that occupants can check remotely what items are in their storage rooms, garage sale, laundry service, auto cleaning system and rental program. Those programs are required for efficient management and activation of space. Another requirement is to improve environmental factors which include maintenance of optimal temperature and humidity, automatic ventilation system, control of individual lights, and security enhancement. Based on the results of the survey, we provide basic data which can be used for practical space planning to activate exterior storage space of the housing unit. Further surveys are required to develop this study by obtaining more data for generalization.

• Journal of Digital Contents Society
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• v.18 no.4
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• pp.747-751
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• 2017

The log has variable informations that are important and necessary to manage a network when accessed to network servers. These informations are used to reduce a cost and efficient manage a network through the meaningful prediction information extraction from the amount of user access. And, the network manager can instantly monitor the status of CPU, memory, disk usage ratio on network using the SNMP. In this paper, firstly, we have accumulated and analysed the 6 network logs and extracted the informations that used to predict the amount of user access. And then, we experimented the prediction simulation with the time series analysis such as moving average method and exponential smoothing. Secondly, we have simulated the usage ration of CPU, memory, and disk using Xian SNMP simulator and extracted the OID for the time series prediction of CPU, memory, and disk usage ration. And then, we presented the visual result of the variable experiments through the Excel and R programming language.

• The Journal of Bigdata
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• v.6 no.1
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• pp.127-132
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• 2021

Korea is both a resource-poor country and a energy-consuming country. In addition, the use and dependence on electricity is very high, and more than 20% of total energy use is consumed in buildings. As research on deep learning and machine learning is active, research is underway to apply various algorithms to energy efficiency fields, and the introduction of building energy management systems (BEMS) for efficient energy management is increasing. In this paper, we constructed a database based on energy usage by device per household directly collected using smart plugs. We also implement algorithms that effectively analyze and predict the data collected using RNN and LSTM models. In the future, this data can be applied to analysis of power consumption patterns beyond prediction of energy consumption. This can help improve energy efficiency and is expected to help manage effective power usage through prediction of future data.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.20 no.1
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• pp.54-69
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• 2021

Policy improvement such as the revision of the Road Traffic Act are proposed for personal mobility(especially e-scooter) usage. However, there is not enough discussion to solve the problem of using shared e-scooter. In this study, we analyze the influencing factors that amount of pick-up and drop-off of shared e-scooter by dividing the Seoul into a 200m grid. we develop spatial auotcorrelation model such as spatial lag model, spatial error model, spatial durbin model, and spatial durbin error model in order to consider the characteristics of the aggregated data based on a specific space, and the spatial durbin error model is selected as the final model. As a result, demographic factor, land use factor, and transport facility factors have statistically significant impacts on usage of shared e-scooter. The result of this study will be used as basic data for suggesting efficient operation strategies considering the characteristics of weekday and weekend.