• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.11 no.5
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• pp.615-622
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• 2018

Recent advancements in camera communication (CamCom) technology using visible light exploited to use display as an luminance source to modulate the data for visible light data communication. The existing display-CamCom techniques uses the selected region of interest based camera capturing approach to detect and decode the 2D color coded data on display screen. This is not effective way to do communicate when the user on mobility. This paper propose the automatic display detection using Lambertian color segmentation combined with canny edge detection algorithms for CamCom in order to avoid manual region of interest selection to establish communication link between display and camera. The automatic display detection methods fails using conventional edge detection algorithms when content changes dynamically in displays. In order to solve this problem lambertian color segmentation combined with canny edge detection algorithms are proposed to detect display automatically. This research analysed different algorithms on display edge recognition and measured the performance on rendering dynamically changing content with color code on display. The display detection rate is achieved around 96% using this proposed solutions.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.4
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• pp.34-42
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• 2017

Since existing nonintrusive appliance load monitoring (NIALM) studies assume that voltage fluctuations are negligible for load identification, and do not affect the identification results, the power factor or harmonic signals associated with voltage are generally not considered parameters for load identification, which limits the application of NIALM in the Smart Home sector. Experiments in this paper indicate that the parameters related to voltage and the characteristics of harmonics should be used to improve the accuracy and reliability of the load monitoring system. Therefore, in this paper, we propose an improved NIALM method that can efficiently analyze the types of household appliances and electrical energy usage in a home network environment. The proposed method is able to analyze the energy usage pattern by analyzing operation characteristics inherent to household appliances using harmonic characteristics of some household appliances as recognition parameters. Through the proposed method, we expect to be able to provide services to the smart grid electric power demand management market and increase the energy efficiency of home appliances actually operating in a home network.

• Journal of the Institute of Convergence Signal Processing
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• v.12 no.2
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• pp.96-101
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• 2011

In recent days, the demand for the remote ECG monitoring system has been increasing and the automation of the monitoring system is becoming quite of a concern. Automatic detection of the abnormal ECG beats must be a necessity for the successful commercialization of these real time remote ECG monitoring system. From these viewpoints, in this paper, we proposed an automatic detection algorithm for the abnormal ECG beats using QRS width and RR interval patterns. In the previous research, many efforts have been done to classify the ECG beats into detailed categories. But, these approaches have disadvantages such that they produce lots of misclassification errors and variabilities in the classification performance. Also, they require large amount of training data for the accurate classification and heavy computation during the classification process. But, we think that the detection of abnormality from the ECG beats is more important that the detailed classification for the automatic ECG monitoring system. In this paper, we tried to detect the VEB which is most frequently occurring among the abnormal ECG beats and we could achieve satisfactory detection performance when applied the proposed algorithm to the MIT/BIH database.

• 사료
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• s.42
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• pp.20-25
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• 2010

2009년은 그야말로 새옹지마(塞翁之馬 : 인생에 있어서 길흉화복은 항상 바뀌어 미리 헤아릴 수 없다)와 같은 한 해로 기억에 오래 남을 듯 하다. 2008년 말에 2009년 양돈산업을 전망할 때 미국발 금융위기에도 불구하고 국내산 돈육 공급량 부족과 환율상승 및 급변으로 인한 돈육 수입량 부족, 그리고 수급 불균형으로 대부분의 전문가들이 역대 최고의 돈가를 예상했고, 실제로 3월에 지육가격이 5,000원/지육kg(전국 비육돈 평균시세)을 상회하면서 성수기에 돈가가 6,000원/지육 kg에 육박할 것이라 기대했었다. 그러나 4월 미국에서 발생한 신종인플루엔자가 초기에 돼지에서 유래된 인플루엔자라고 보도되면서 돈육소비량이 급감하였고 이로 인해 성수기에 돈가가 오히려 하락하는 기현상을 보였다. 다행히 신종플루가 돼지와 무관하다는 사실이 밝혀지면서 소비가 회복되었고 돈가 또한 회복되어 올해는 역대 최고의 돈가가 형성될 것으로 예상되고, 여기에 국제곡물시세가 안정되면서 사료가격도 여러 차례 인하되어 양돈 농장의 수익성은 상당부분 향상될 것으로 판단된다. 하지만 신종플루 사망자가 증가하면서 지금도 여전히 돈육소비가 위축되어 있어 막연히 호황을 기대하기 쉽지 않은 실정이다. 돈가의 급등과 급락, 외부요인에 의한 경제환경의 변화로 인한 환율의 변동 및 소비량의 변화는 2009년 양돈산업에 대한 불안감을 증폭시켜 높은 돈가와 수익성에도 불구하고 전체 산업의 규모가 커지지는 못했다. 여기에 국산 돈육에 대한 소비자들의 무한 신뢰로 인해, 2008년 12월 돈육 원산지 표시제 확대 실시로 국내산 돈육 수요가 증가 하여 여전히 75% 가량의 국산 돈육 자급율을 유지함에도 불구하고 아직까지 맛의 차별화 및 도축, 유통의 안전성에 대한 확고한 신뢰 구축을 위한 브랜드 돈육 유통의 확대가 소비자의 기대치만큼 자리 잡지 못하고 있는 실정이다. 또한 친환경적인 양돈산업 육성 및 분뇨 처리 관련하여도 뚜렷한 해답을 찾지 못하고 있어, 양돈 농가의 입장에서는 규모의 확장 및 신규 진입이 극도로 제한되어 있고 일부 지역에서는 사업의 존폐를 결정하는 주요 원인이 되고 있다. 그간 대한민국 양돈 산업의 경쟁력에 발목을 잡고 있던 낮은 생산성 문제와 소모성 질병에 의한 높은 폐사율 문제 또한 아직도 여전히 해결되지 못한 과제이다. <그림 1> 국가별 양돈 농장 생산성 현황에서 보는 바 와 우리나라 양돈 농장의 생산성은 여전히 PSY(모돈당 연간 이유자돈 두수)가 18두에 못 미치고 있어 국제 경쟁력을 논하기 자제 가 부끄러운 실정이다. 여러 가지 내 외부적인 어려운 환경에도 불구하고 올 2009년은 양돈농가들이 최고의 수익성을 기록한 한 해가 될 것이라는 사실에는 이의가 별로 없을 듯하다. 2년 여간의 고돈가로 인해 대한민국 양돈산업은 새로운 도약을 위한 밑천이 마련된 셈이라고 할 수 있다. 본고에서는 2009년 양돈산업 현황을 돌아보고 다가올 미래를 준비한다는 의미에서 우리나라 양돈산업이 집중해야 할 분야를 짚어보고자 한다.

• Journal of Navigation and Port Research
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• v.42 no.6
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• pp.539-545
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• 2018

In recent years, research on shipping market forecasting with the employment of non-linear AI models has attracted significant interest. In previous studies, input variables were selected with reference to past papers or by relying on the intuitions of the researchers. This paper attempts to address this issue by applying the stepwise regression model and the random forest model to the Cape-size bulk carrier market. The Cape market was selected due to the simplicity of its supply and demand structure. The preliminary selection of the determinants resulted in 16 variables. In the next stage, 8 features from the stepwise regression model and 10 features from the random forest model were screened as important determinants. The chosen variables were used to test both models. Based on the analysis of the models, it was observed that the random forest model outperforms the stepwise regression model. This research is significant because it provides a scientific basis which can be used to find the determinants in shipping market forecasting, and utilize a machine-learning model in the process. The results of this research can be used to enhance the decisions of chartering desks by offering a guideline for market analysis.

• Journal of the Korean Institute of Landscape Architecture
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• v.46 no.6
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• pp.1-16
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• 2018

The decline in the construction industry has led to a decrease the profitability of small and medium-sized landscape contractors. To relieve this situation, small and medium-sized landscape contractors have continued to proactively find ways to enter global construction markets. However, many small and medium-sized landscape contractors face risks due to their lack of capacity and insufficient preparations to extend the business abroad. Thus, this study aims to analyze the current condition of the Vietnamese construction market and the related risk factors. It then suggests strategies to improve the small and medium-sized landscape contractors' competitiveness in that market. We investigated the business climate and analyzed risk factors. Finally, we developed expansion strategies and conducted in-depth interviews with six overseas construction professionals. The study results first showed that efforts to improve infrastructure and the increased demand for housing in Vietnam will lead to more opportunities for small and medium-sized landscape contractors entering the Vietnamese construction market. However, changes in the Vietnamese business climate may act as a variable. Second, we found that small and medium-sized landscape contractors' risk factors are mainly related to laws and regulations, government finance, market fluctuations, public administration system, minimum wage increases, financing and bonds, contracting, trees and materials, and design errors. Finally, small and medium-sized landscape contractors are required to consider the following when seeking to enter the Vietnamese construction market: short-term strategy and mid-to-long-term strategy. This study will be used as the basis for small and medium-sized landscape contractors to plan to enter the Vietnamese construction market and to contribute to the expansion of the global construction market in the landscape industry.

• Korean Journal of Agricultural and Forest Meteorology
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• v.23 no.4
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• pp.391-404
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• 2021

This study developed a long-term prediction model for the potential yield of garlic based on a genetic algorithm (GA) by utilizing global climate reanalysis data. The GA is used for digging the inherent signals from global climate reanalysis data which are both directly and indirectly connected with the garlic yield potential. Our results indicate that both deterministic and probabilistic forecasts reasonably capture the inter-annual variability of crop yields with temporal correlation coefficients significant at 99% confidence level and superior categorical forecast skill with a hit rate of 93.3% for 2 × 2 and 73.3% for 3 × 3 contingency tables. Furthermore, the GA method, which considers linear and non-linear relationships between predictors and predictands, shows superiority of forecast skill in terms of both stability and skill scores compared with linear method. Since our result can predict the potential yield before the start of farming, it is expected to help establish a long-term plan to stabilize the demand and price of agricultural products and prepare countermeasures for possible problems in advance.

• Resources Recycling
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• v.31 no.4
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• pp.3-11
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• 2022

Owing to the increasing demand for electric vehicles (EVs), appropriate management of their waste batteries is required urgently for scrapped vehicles or for addressing battery aging. With respect to technological developments, data-driven diagnosis of waste EV batteries and management technologies have drawn increasing attention. Moreover, robot-based automatic dismantling technologies, which are seemingly interesting, require industrial verifications and linkages with future battery-related database systems. Among these, it is critical to develop and disseminate various advanced battery diagnosis and assessment techniques to improve the efficiency and safety/environment of the recirculation of waste batteries. Incorporation of lithium-related chemical substances in the public pollutant release and transfer register (PRTR) database as well as in-depth risk assessment of gas emissions in waste EV battery combustion and their relevant fire safety are some of the necessary steps. Further research and development thus are needed for optimizing the lifecycle management of waste batteries from various aspects related to data-based diagnosis/classification/disassembly processes as well as reuse/recycling and final disposal. The idea here is that the data should contribute to clean design and manufacturing to reduce the environmental burden and facilitate reuse/recycling in future production of EV batteries. Such optimization should also consider the future technological and market trends.

• Journal of the Korean Society of Marine Environment & Safety
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• v.27 no.7
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• pp.1124-1128
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• 2021

As regulations of emissions from ships become more stringent, electric propulsion systems have been increasingly used to solve this problem in vessels ranging from large merchant ships to small and medium-sized ships. Methods for improving the efficiency of the electric propulsion system include the improvement of power sources; the use of a system linked to environmentally friendly power sources, such as batteries, fuel cells, and solar power; and the development of hardware and control methodology for rectifiers, power conversion devices, and propulsion motors. The method using a phase-shifting transformer with diodes has been widely used for rectification. Power semiconductor devices with grid connection to an environmentally friendly power source using DC distribution, a variable speed power source, and the application of small and medium-sized electric propulsion systems have been developed. Accordingly, the demand for active front-end (AFE) rectifiers is increasing. In this study, a method using a neural network rather than a conventional proportional-integral controller was proposed to control the AFE rectifier. Tested controller data were used to design a neural network controller trained through MATLAB/Simulink. The neural network controller was applied to a rectification system designed using PSIM software. The results indicated the effectiveness of improving the waveform and power factor DC output stage according to the load variation. The proposed system can be applied as a rectification system for small and medium-sized environmentally friendly ships.

• Journal of the Korea Convergence Society
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• v.13 no.5
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• pp.333-346
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• 2022

This study proposes a strategy to attract visitors by analyzing the justification for hosting the 2027 Summer World University Games in Chungcheong, Korea, as well as by assessing the internal and external factors to promote regional development. Using Environmental Analysis as the diagnostic approach, we focus on strength/opportunity (SO), strength/threat (ST), weakness/opportunity (WO), and weakness/threat (WT) analyses. SO analysis show that a matching strategy of mid- to long-term cooperation among the four cities and provinces in Chungcheong and development of local sports by promoting its linkages to science, and industry offer best strategic use-value. ST analysis shows that optimal infrastructure development and establishment of competition management strategies in preparation for non-face-to-face engagement make balanced regional development possible. WO analysis shows the need for rearrangement and renovation of outdated sports facilities, development of programs linked to convergence sports tourism products, efficient and strategic attraction activities, and promoting sustainable development of bed town cities. WT analysis suggests that the imbalance in regional development due to expansion of sports facilities, insufficient cultural contents in tourism, and tourism demand fluctuation are potential problems. Follow-up studies can focus on deeper analysis of the possibility and attractiveness of hosting the Summer World University Games in Chungcheong, Korea using qualitative methods such as focus group interviews and in-depth interviews with stakeholders and local residents.