• Journal of the Korea Furniture Society
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• v.23 no.4
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• pp.467-478
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• 2012

Interurban railway is expanded by transportation that population can be centralism and cope efficiently in traffic jam by augmentation of vehicles in the city. Railroad chair departs in space of an existent simple rest and products that can raise human body standard and size by powerful engineering vicinity, quality of the material, psychological satisfaction etc. of users are developed steadily. Specially, study of space that can use various materials efficiently with bodily size government official because various of man and woman old and the young etc.. are using in occasion of the train is urgently required. Specially, railroad chair is a product that material and standard, structure, human body engineering, a finish etc. is studied variously. In the case of advanced nation, in case of design a chair operating time of railroad, is placed as all standards orderly and harmonious because is considered exercise dynamics etc.. and designs. The other side, in the case of our country, study expert of chair is short real and is depending on technological data of overseas railway vehicle. Chair for railroad must consider removal of short-range, long distance. That have to be consider to a lot of uncomfortable such as psychological satisfaction of user because the domestic Motor Companies are defining in fair development study and many researchers but the railroad chair company are not accumulated professional manpower and technological know-how. Railway vehicle can recognize that overseas visitors as well as native is important element as space that space is exposed internationally by product that Public personality which used cultural value is strong. Therefore, wish to plan valid spec relationship presentation of various design and specification, function etc.. and contribute to railroad chair development design process lists and analyzes van instances of railway vehicle chair of inside and outside of the country through this study.

• BMB Reports
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• v.36 no.1
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• pp.128-137
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• 2003

Matrix metalloproteinases (MMPs), zinc dependent proteolytic enzymes, cleave extracellular matrix (ECM: collagen, laminin, firbronectin, etc) as well as non-matrix substrates (growth factors, cell surface receptors, etc). The deregulation of MMPs is involved in many diseases, such as tumor metastasis, rheumatoid arthritis, and periodontal disease. Metastasis is the major cause of death among cancer patients. In this review, we will focus on the roles of MMPs in tumor metastasis. The process of metastasis involves a cascade of linked, sequential steps that involve multiple host-tumor interactions. Specifically, MMPs are involved in many steps of tumor metastasis. These include tumor invasion, migration, host immune escape, extravasation, angiogenesis, and tumor growth. Therefore, without MMPs, the tumor cell cannot perform successful metastasis. The activities of MMPs are tightly regulated at the gene transcription levels, zymogen activation by proteolysis, and inhibition of active forms by endogenous inhibitors, tissue inhibitor of metalloproteinase (TIMP), and RECK. The detailed regulations of MMPs are described in this review.

• Tribology and Lubricants
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• v.24 no.3
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• pp.111-121
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• 2008

An integrated in-line oil monitoring detector assigned for continuous in situ monitoring multiple parameters of oil performance for predicting economically optimal oil change intervals and equipment condition control is presented in this study. The detector estimates oil deterioration based on the information about chemical degradation, total contamination, water content of oil and oil temperature. The oil oxidation is estimated by "chromatic ratio", total contamination is measured by the changes in optical intensity of oil in three optical wavebands ("Red", "Green" and "Blue") and water content is evaluated as Relative Saturation of oil by water. The detector is able to monitor oils with low light absorption (hydraulic, transformer, turbine, compressor and etc. oils) as well as oils with rather high light absorption in visible waveband (diesel and etc. oils). In a case study that the detector is applied to a diesel engine oil, it is found that the detector provides good results on oil chemical degradation as well as soot concentration.

• Journal of Korea Multimedia Society
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• v.18 no.11
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• pp.1268-1280
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• 2015

In video surveillance system, the exposure of a person's face is a serious threat to personal privacy. To protect the personal privacy in large amount of videos, an automatic face detection method is required to locate and mask the person's face. However, in real-world surveillance videos, the effectiveness of existing face detection methods could deteriorate due to large variations in facial appearance (e.g., facial pose, illumination etc.) or degraded face (e.g., occluded face, low-resolution face etc.). This paper proposes a new face detection method based on multi-level facial features. In a video frame, different kinds of spatial features are independently extracted, and analyzed, which could complement each other in the aforementioned challenges. Temporal domain analysis is also exploited to consolidate the proposed method. Experimental results show that, compared to competing methods, the proposed method is able to achieve very high recall rates while maintaining acceptable precision rates.

• Journal of Multimedia Information System
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• v.6 no.4
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• pp.217-224
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• 2019

As the world's population grows, how to maintain the food supply is becoming a bigger problem. Now and in the future, big data will play a major role in decision making in the agriculture industry. The challenge is how to obtain valuable information to help us make future decisions. Big data helps us to see history clearer, to obtain hidden values, and make the right decisions for the government and farmers. To contribute to solving this challenge, we developed the Agriculture Big Data Analysis System. The system consists of agricultural big data collection, big data analysis, and big data visualization. First, we collected structured data like price, climate, yield, etc., and unstructured data, such as news, blogs, TV programs, etc. Using the data that we collected, we implement prediction algorithms like ARIMA, Decision Tree, LDA, and LSTM to show the results in data visualizations.

• International Journal of Computer Science & Network Security
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• v.21 no.5
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• pp.121-128
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• 2021

In this work, a noble walkway approach suitable for Saudi Arabia (SA) towards its aim to develop a wide range of smart cities is considered scientifically. This work intends to minimize the errors at each level by testing the events that take place in the walkway environment. similarly, the minimum requirements to develop a walkway to the additional features to be considered while designing a walkway are discussed in this paper with sensitive areas such as environmental factors, healthcare issues, patients visiting the walkways, etc. The applications of different monitoring devices such as CCTV's, global positioning systems (GPS), etc. are carefully addressed to help the proposed method for improving the monitoring activities of a variety of events that possibly cause problems to a common man. The ultimate goal of this work to ensure a safe and satisfied journey of pedestrians while they come for a walk with all suitable safety measures. The safety measures included in this work are for pollution, noise, temperature, humidity and traffic jams on the roads. To improve the accuracy and to test the proposed approach some polices are defined and will be tested for the consistency of the proposed system. The obtained accuracy of the proposed system is proved to be far better with an accuracy of 93% improvement in the results.

• Journal of Korean Society of Forest Science
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• v.90 no.1
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• pp.90-104
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• 2001

This study is aimed to analyze and to evaluate the revegetation and soil conservation technology in desertification-affected sandy land, resulting from the project of "Studies on the desertification combating and sand industry development". Main native plants for combating desertification : The general characteristics of vegetation distribution in desertified regions are partially concentrated vegetation distribution types including the a) desert plants in low zone of desert or sanddune of depressed basin, b) salt-resistant plants around saline lakes, c) grouped vegetation with Poplar and Chinese Tamarix of freshwater-lakes, saline-lakes and river-banks, d) gobi vegetation of gravel desert and e) grassland and oasis-woods around the alluvial fan of rivers, etc. Generally, Tamarix ehinensis Lour., Haloxylon ammodendron Bunge., Calligonum spp., Populus euphratica Oliver., Elaeagnus angustifolia L., Ulmus pumila L., Salix spp., Hedysarum spp., Caragana spp., Xanthoceras sorbifolia Bunge., Nitraria tangutorum Bobr., Lespedeza bicolor, Alhagi sparsifolia Shap., Capparis spinosa L., Artemisia arenaria DC., etc. are widely distributed in desertified regions. It is necessary for conducting research in the native plants in desertified regions. Analysis of intensive revegetation technology system for combating desertification : In the wind erosion region, the experimental research projects of rational farming systems (regional planning, shelterbelts system, protection system of oasis, establishment of irrigation-channel networks and management technology of enormous farmlands, etc.), rational utilization technology of plant resources (fuelwood, medicinal plants, grazing and grassland management, etc.), utilization technology of water resources (management and planning of watershed, construction of channel and technology of water saving and irrigation, etc.), establishment of sheltetbelts, control of population increase and increased production technology of agricultural forest, fuelwood and feed, etc. are preponderantly being promoted. And in water erosion region, the experimental research projects of development of rational utilization technology of land and vegetation, engineering technology and protection technology of crops, etc. are being promoted in priority. And also, the experimental researches on the methods of utilization of water (irrigation, drainage, washing and rice cultivation, etc.), agricultural methods (reclamation of land, agronomy, fertilization, seeding, crop rotation, mixed-cultivation and soil dressing works, etc.) and biological methods (cultivation of salt-resistant crops and green manure and tree plantation, etc.) for improvement of saline soil and alkaline soil in desertified-lands are actively being promoted. And the international cooperations on the revegetation technology development projects of desertified-lands are sincerely being required.

• KOREAN JOURNAL OF PACKAGING SCIENCE & TECHNOLOGY
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• v.22 no.3
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• pp.119-125
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• 2016

Fresh-cut agricultural products provide convenience to consumers. However, quality changes or microbial growth can easily occur due to physical changes such as cutting and peeling etc. during processing. Therefore, efforts have been made to develop a functional packaging for extension of shelf life of fresh-cut agricultural products, food etc., and researches on prolongation of storage period have been actively developed. The shelf life is extended by antimicrobial, far infrared rays, air permeability, anti-fogging, weak current, ethylene gas adsorption or decomposition, gas composition changes such as MA (Modified Atmosphere) or CA (Controlled Atmosphere). The method of extending the shelf life by various complex factors. This paper based on the published literature to extend the shelf life of fresh-cut agricultural products, food etc., The paper has summarized the storage period extension packing method, packaging material for shelf life extension and comprehensive evaluation method.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.13 no.1
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• pp.14-23
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• 2010

The vascular plants in the Haksan, Jeonju were listed 394 taxa; 94 families, 260 genera, 339 species, 1 subspecies, 46 varieties and 8 forms. Divided into woody plants were 111 taxa (28.2%) and herbaceous plants were 283 taxa (71.8%). Based on the list of rare plants by the Korea Forest Service; Viola albida (Preservation priority order : No. 202), Korean endemic plants, 6 taxa were recorded; Lespedeza maximowiczii for. tomentella, Indigofera koreana, Weigela subsessilis, etc. Specific plant species by floral region were total 19 taxa (4.8% of all 394 taxa of vascular plants); Wistaria floribunda (Planted species) in class IV, Acer palmatum (Planted species) and Melothrua japonica in class III, Nymphoides indica in class II, 15 taxa (Botrychium virginianum, Hosta capitata, Salix glandulosa, Quercus variabilis, Rhynchosia acuminatifolia, Ilex macropoda, Impatiens nolitangere, Grewia biloba var. parviflora, Vaccinium oldhami and Lonicera praeflorens, etc.) in class I. The naturalized plants in the surveyed sites were 14 families, 30 genera, 32 taxa (Bromus rigidus, Rumex obtusifolius, Chenopodium ficifloium, Amaranthus lividus, Phytolacca americana, Lepidium apetalum, Amorpha fruticosa, Geranium carolinianum, Ailanthus altissima, Euphorbia supina, Oenothera biennis, Ipomoea purpurea, Veronica persica, Bidens frondosa, etc.) and naturalization rate was 8.1% of all 394 taxa of vascular plants. The ecosystem disturbing wild plants, Rumex acetocella, Aster pilosus and Ambrosia artemisiaefolia having manage to designation with Ministry of Environment.

• International Journal of Computer Science & Network Security
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• v.23 no.10
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• pp.199-208
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• 2023

The emergence of COVID-19 virus has shaken almost every aspect of human life including but not limited to social, financial, and economic changes. One of the most significant impacts was obviously healthcare. Now though the pandemic has been over, its aftereffects are still there. Among them, a prominent one is people lifestyle. Work from home, enhanced screen time, limited mobility and walking habits, junk food, lack of sleep etc. are several factors that have still been affecting human health. Consequently, diseases like diabetes, high blood pressure, anxiety etc. have been emerging at a speed never witnessed before and it mainly includes the people at young age. The situation demands an early prediction, detection, and warning system to alert the people at risk. AI and Machine learning has been investigated tremendously for solving the problems in almost every aspect of human life, especially healthcare and results are promising. This study focuses on reviewing the machine learning based approaches conducted in detection and prediction of diabetes especially during and post pandemic era. That will help find a research gap and significance of the study especially for the researchers and scholars in the same field.