• Korean Journal of Remote Sensing
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• v.34 no.2_2
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• pp.327-338
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• 2018

The possibility of ship detection monitoring at operational level using KOMPSAT-5 Synthetic Aperture Radar (SAR) and Automatic Identification System (AIS) data is investigated. For the analysis, the KOMPSAT-5 SLC images, which are collected from the west coast of Shinjin port and the northern coast of Jeju port are used along with portable AIS data from near the coast. The ship detection algorithm based on HVAS (Human Visual Attention System) was applied, which has significant advantages in terms of detection speed and accuracy compared to the commonly used CFAR (Constant False Alarm Rate). As a result of the integrated analysis, the ship detection from KOMPSAT-5 and AIS were generally consistent except for small vessels. Some ships detected in KOMPSAT-5 but not in AIS are due to the data absence from AIS, while it is clearly visible in KOMPSAT-5. Meanwhile, SAR imagery also has some false alarms due to ship wakes, ghost effect, and DEM error (or satellite orbit error) during object masking in land. Improving the developed ship detection algorithm and collecting reliable AIS data will contribute for building wide integrated surveillance system of marine territory at operational level.

• Food Science of Animal Resources
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• v.28 no.2
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• pp.146-153
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• 2008

The effects of the addition of Kimchi powder at levels of 1%, 2%, and 3% (w/w) to sausage formulation on the quality characteristics of low-fat sausage were determined. The CIE L-values of low-fat sausages were lower than the control (p<0.05), and were inversely proportional to the level of Kimchi powder (p<0.05). The CIE a- and CIE b-values of sausages increased with increasing levels of Kimchi powder (p<0.05), and the pH of sausages decreased in proportion to Kimchi powder acidity. Kimchi powder was effective at retaining added water in low-fat sausages since cooking yield, emulsion stability, and viscosity with the addition of 3% Kimchi powder was similar to that of the control. The protein and ash contents of sausages were not affected by Kimchi powder addition (p>0.05), while sausages containing 3% Kimchi powder had the highest water content (p<0.05). With increasing Kimchi powder concentration, hardness, gumminess, chewiness, and sensory scores increased in low-fat sausages (p<0.05).

• Ecology and Resilient Infrastructure
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• v.2 no.1
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• pp.12-21
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• 2015

Social demand for ecological engineering and technology has increased in tandem with national economic growth in order to improve the environmental capacity of civil infrastructures. To meet this demand, the Korean Society of Ecology and Infrastructure Engineering (KSEIE) was established in January 2013 and has contributed to the development of ecological engineering technologies. However, the establishment of an educational system for human resources training in ecological engineering is still at an early stage, and it is imperative to develop a curriculum for producing the human resources that can understand and apply ecological principles and functions and that is equipped with the abilities required for ecological conservation, restoration, and creation. As part effort, the KSEIE held a forum, entitled Founding the Education for Ecological Engineering, to discuss the establishment of the education system for ecological engineering in Korea. In this paper, based on the discussions and suggestions made during the forum, we analyzed the current status of ecological engineering education in various disciplines - civil and construction engineering, biology and environment, and landscape planning - in domestic universities, and attempted to seek possible solutions based on the cases of foreign universities. Generally, ecology and other application curricula are taught as fragmented subjects and fields in domestic universities. The development of new education strategies and systematic curricula for multidisciplinary education, ecological response to climate change, and the expansion of research fields is required.

• Journal of the East Asian Society of Dietary Life
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• v.19 no.6
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• pp.1049-1053
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• 2009

This study was carried out to investigate the effects of Eucommia ulmoides Oliver (Du-Zhong) as a main ingredient in a mixture of various medicinal herbal extracts on blood pressure, serum lipid concentrations, and hematological variables in hypertensive patients. After 4 weeks on drinking the mixed medicinal herbal teas, systolic blood pressure remarkably decreased from 167.14 to 134.86 mmHg and diastolic blood pressure decreased from 100.00 to 87.10 mmHg. In terms of serum lipid profiles, there were no differences in total-cholesterol, HDL-cholesterol, LDL-cholesterol level, and atherogenic index, However, the level of triglycerol was significantly reduced from 237.1 before the experiment to 145.00 mg/dL after 4 weeks on drinking the mixed medicinal herbal teas. Serum triglyceride were remarkably reduced from 237.1 to 145.00 mg/dL in the hypertensive patients who had taken the combined medicinal herbal extracts. Compared with data obtained from the patients before the experiment, there were no differences in hematological variables (RBC, WBC, hematocrit, hemoglobin, platlets and homocysteine) after the 4 weeks experiments, but mean corpuscular hemoglobin concentration was significantly increased by 2.70% (p<0.05) in the blood samples. Based on these findings, it can be presumed that the examined mixed medicinal herbal tea may be effective in lowering blood pressure and in increasing mean corpuscular hemoglobin concentration due to reduced serum triglyceride levels in hypertension patients.

• Journal of Wetlands Research
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• v.22 no.4
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• pp.245-256
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• 2020

The purpose of this study is to evaluate the technological competitiveness of the environmental industry with developed countries in order to establish an international market expansion strategy of the Korean environmental industry and technology. In order to evaluate the competitiveness of the environmental industry and technology, core technologies were classified by the environmental industry sectors based on the classification system of the domestic and international environmental industry and technology. After developing the evaluation index data, the Delphi analysis, journal and patent analysis, as well as the export and import analysis were carried out and the standardization analysis was performed on the index data. Moreover, the weights of each evaluation index were calculated using the AHP(Analytic Hierarchy Process) method and the evaluation results of competitiveness of the environmental industry and technology in Korea, the United States, the United Kingdom, Germany, and France were derived. As a result of the evaluation, the United States was rated with the highest technological competitiveness in all the environmental industry sectors, while Korea got the lowest technological competitiveness rating compared to the 4 developed countries. In particular, Korea got the lowest level of technological competitiveness in the sector of multi-media environmental management and development for a sustainable social system. Therefore, in order for the Korean environmental industry and technology to enter the global advanced market, it is necessary to strengthen the competitiveness through the development of the fourth environmental industry based on IoT(Internet of Things), cloud, big data, mobile, and AI(Artificial Intelligence), which are currently the country's domestic strengths.

• Journal of the Korean Institute of Traditional Landscape Architecture
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• v.33 no.3
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• pp.95-102
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• 2015

This study conducted the survey on the resources of traditional villages based on AHP in the subjects with the specialists in Korea and China to seek the resource evaluation standards to apply the preservation and development of traditional villages, and the differences of the importance on the resources among the specialists in both countries. We classified three levels of evaluation items to aim the deductions of the importance and priority in the resources of traditional villages. Upon the analysis results, natural resources were important in the level 1; environmental, historical, facility resources were important in the level 2; and the factors such as air, topography, traditional houses, agricultural landscape, shared community facilities, interchanges between urban and rural areas, family activities, and so on were important in the level 3. The factors that both Korean and Chinese groups evaluated as the most important ones were the same. In terms of overall importance by evaluation items, the factors such as air, water quality, noise, traditional houses, topography, shared community facilities, and so on were rated as relatively important in both Korean and Chinese groups. That is, the traditional villages have the necessity to preserve the cultural resources like their duties, however, it is required to control the natural environment with good quality preferentially. This study results can compare the importance on the resources of traditional village between Korea and China. Moreover, with calculation of the priority and scores for the preservation and management of traditional villages, they are expected to be used as the tool to apply the quantitative data in the evaluation process of traditional village resources in both countries.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.19 no.5
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• pp.162-177
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• 2020

The perception of traffic environment based on various sensors in autonomous driving system has a direct relationship with driving safety. Recently, as the perception model based on deep neural network is used due to the development of machine learning/in-depth neural network technology, a the perception model training and high quality of a training dataset are required. However, there are several realistic difficulties to collect data on all situations that may occur in self-driving. The performance of the perception model may be deteriorated due to the difference between the overseas and domestic traffic environments, and data on bad weather where the sensors can not operate normally can not guarantee the qualitative part. Therefore, it is necessary to build a virtual road environment in the simulator rather than the actual road to collect the traning data. In this paper, a training dataset collection process is suggested by diversifying the weather, illumination, sensor position, type and counts of vehicles in the simulator environment that simulates the domestic road situation according to the domestic situation. In order to achieve better performance, the authors changed the domain of image to be closer to due diligence and diversified. And the performance evaluation was conducted on the test data collected in the actual road environment, and the performance was similar to that of the model learned only by the actual environmental data.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.16 no.6
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• pp.67-78
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• 2017

Traffic congestion cost is increasing annually. Specifically congestion caused by the CDB traffic contains more than a half of the total congestion cost. Recent advancement in the field of Big Data, AI paved the way to industry revolution 4.0. And, these new technologies creates tremendous changes in the traffic information dissemination. Eventually, accurate and timely traffic information will give a positive impact on decreasing traffic congestion cost. This study, therefore, focused on developing both recurrent and non-recurrent congestion prediction models on urban roads by adopting Recurrent Neural Network(RNN), a tribe in machine learning. Two hidden layers with scaled conjugate gradient backpropagation algorithm were selected, and tested. Result of the analysis driven the authors to 25 meaningful links out of 33 total links that have appropriate mean square errors. Authors concluded that RNN model is a feasible model to predict congestion.

• Journal of the Korean Institute of Landscape Architecture
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• v.43 no.4
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• pp.27-36
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• 2015

This study analyzed the characteristics of the entries at the design competition for the Hoehyeon section of Namsan from a perspective of the Historic Urban Landscape and made suggestions from them. Hoehyeon, located at the foot of Namsan, is the most changing site in the park and Seoul City Wall. Recent excavation of the old city walls of the Joseon Era has uncovered evidence of the Japanese occupation period, making it a site where park facilities in modern and contemporary history coexist. The frame analysis has been made by the concept of the Historic Urban Landscape, the methods of approach, specialists' discussion and the guidelines of the competition. The entries were analyzed by classification of the understanding of the spatiality and cultural diversity, the recognition of the periodic layers of time, and the design implementation, the preservation, the park plan, and the future management plan. From a perspective of an Historic Urban Landscape, this study has found that each entry placed priority on the objects for preservation and suggested creative involvement and comprehensive designs for the preservation and the park plan through the understanding of the spatiality and cultural diversity and the reflection of the periodic layers of time in the designs. This study provided two implications. Firstly, there was a possibility for new recognition and the methods of approach for preservation and development. Secondly, the basic plan for the Historic Landscape should be established through research and mapping for the preservation and management of objects in Seoul having valuable historic variability. Further study for resident participation and the process by network from public to private should be taken. This study looks forward to the consideration of the direction for the design plans of places with historic and cultural value.

• Korean Journal of Remote Sensing
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• v.14 no.4
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• pp.376-391
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• 1998

Images from satellites will have 1 to 3 meter ground resolution and will be very useful for analyzing current status of earth surface. An image processing system named GeoWatch with more intelligent image processing algorithms has been designed and implemented to support the detailed analysis of the land surface using high-resolution satellite imagery. The GeoWatch is a valuable tool for satellite image processing such as digitizing, geometric correction using ground control points, interactive enhancement, various transforms, arithmetic operations, calculating vegetation indices. It can be used for investigating various facts such as the change detection, land cover classification, capacity estimation of the industrial complex, urban information extraction, etc. using more intelligent analysis method with a variety of visual techniques. The strong points of this system are flexible algorithm-save-method for efficient handling of large size images (e.g. full scenes), automatic menu generation and powerful visual programming environment. Most of the existing image processing systems use general graphic user interfaces. In this paper we adopted visual program language for remotely sensed image processing for its powerful programmability and ease of use. This system is an integrated raster/vector analysis system and equipped with many useful functions such as vector overlay, flight simulation, 3D display, and object modeling techniques, etc. In addition to the modules for image and digital signal processing, the system provides many other utilities such as a toolbox and an interactive image editor. This paper also presents several cases of image analysis methods with AI (Artificial Intelligent) technique and design concept for visual programming environment.