• The Korean Journal of Air & Space Law and Policy
• /
• v.5
• /
• pp.207-264
• /
• 1993

항공사의 외국인 소유는 이것으로 인하여 전체 항공운송 시스템이 변화될 수 있는 핵심적인 개념이다. 작금 항공운송산업을 둘러싼 환경은 급격하게 변화하고 있어서 많은 국가들이 항공사의 외국인 소유와 관련한 기존의 법제나 정책변경을 심각하게 고려하기 시작하였다. 항공기 및 항공사의 국적과 관련한 전통적인 개념은 양자사이에 '진정한' 또는 '효파적인' 관계가 있어야 한다는 것이다. 특별히 항공사의 '실질적인 및 효과적인 통제'조항은 양자 및 다자간 항공운송 협정에서 가장 핵심적인 역할을 해오고 있다. 그러나 변화의 바람이 거세게 일고 있다. 항공운송산업에서 이러한 변화는 미국에서 시작되고 미국의 국제항공관계에 적용되고 있는 규제완화에서 비롯되었다. 미국의 규제완화정책은 합병 및 흡수를 통한 항공사의 집중이라는 결과를 가져와서 항공운송 시장은 궁극적으로 소수의 거대 항공사에 의해 지배될 것이라는 우려를 낳고 있다. 이러한 새로운 추세에 대응하여 많은 국가틀이 다양한 형태의 지역협력체를 형성하고 있다. (예, EC, 아세안, 안데안 그룹, 야마스크로 선언 등) 또한 다수 국가들은 정치.경제적인 이웃에서 정부의 소유주식을 외국인 및 외국회사를 포함한 민간부문에 매각함으로써 사유.사영화를 추진하고 있다. 한편 제조업 분야에서 다국적기업 (IBM, 코카콜라 등)은 별 어력움이 없이 성립될 수 있다. GATT의 주관하에 열리고 있는 우루과이 협상에 참여하고 있는 국가들은 최혜국 대우, 내국인 대우, 시장접근 같은 상품교역의 개념및 원리를 항공운송서비스를 포함한 서비스교역에 적용하는데 기본적으로 합의하였다. 급격히 변화하는 환경에서 항공운송 산업만이 국가의 영공 주권, 항공사의 공익기업 개념, 상업적 이익의 균형교환 같은 자기류의 논리에 집착하여 언제까지나 홀로 고립될 수는 없을 것이다. 더구나 세계 항공운송 산업은 1980년 후반부터 큰 시련에 직면해 있다. 몇몇을 제외한 대부분의 항공사는 세계경제의 불황속에서 초과공급 및 운임전쟁으로 인한 엄청난 적자를 기록하고 있다. 모든점을 미루어볼 때 세계의 항공사들은 과거 어느 때보다도 외국인 투자를 필요로 하고 있으며 항공사가 속해 있는 정부는 외국인 소유에 관한 법제를 개정하고 나아가 전체 항공운송시스템을 개편하도록 압력을 받고 있다. 많은 국가에서 외국인 소유에 관한 법규의 개정은 현존 항공운송 시스템에 다각적인 영향을 가져올 것이다. 다시말하면 양자협상, 반독점및 경쟁볍규의 적용, 고용 및 카보타지등을 포함한 제반분야가 영향을 받을 것이다. 결국 외국인 소유에 관한 법제의 완화는 항공사의 세계화 또는 다국적화의 과정을 촉진시킬 것이고, 항공사간 다양한 형태의 제휴가 이러한 방향에서 계속될 것이다.

• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.8 no.5
• /
• pp.187-195
• /
• 2008

In MANET, it is important to efficiently manage data objects and traffic to improve network throughput and response time. This paper proposes a connection-degree based data object search and replication scheme in mobile ad-hoc networks. In this method, information about the path data object providers is stored at the cache of a cluster header at which lots of queries arrive, so that, to reduce the load of the cluster header, replicas can be created at its neighboring nodes. The method proposes an algorithm that picks up a cluster header among mobile nodes and makes it possible to search for and utilize adaptive and up-to-date information in MANET. The method is expected to be effective since it enables access to data objects in spite of broken links among mobile nodes with an enhancement in network response time of searching and a decrease in communication costs. The efficiency of this system was verified via simulation.

• Journal of Korea Multimedia Society
• /
• v.13 no.5
• /
• pp.651-662
• /
• 2010

This paper describes a method to identify objects for autonomous navigation of an outdoor mobile robot. To identify objects, the robot recognizes the object from an image taken by moving robot on outdoor environment. As a beginning, this paper presents the candidates for a segment of region to building of artificial object, sky and trees of natural objects. Then we define their characteristics individually. In the process, we segment the regions of the objects included by preprocessing using multiple features. Multiple features are HSI, line segments, context information, hue co-occurrence matrix, principal components and vanishing point. An analysis of building identifies the geometrical properties of building facet such as wall region, windows and entrance. The building as intersection in vertical and horizontal line segment of vanishing point extracts the mesh. The wall region of building detect by merging the mesh of the neighbor parallelograms that have similar colors. The property estimates the number of story and rooms in the same floors by merging skewed parallelograms of the same color. We accomplish the result of image segmentation using multiple features and the geometrical properties analysis of object through experiments.

• Management & Information Systems Review
• /
• v.4
• /
• pp.257-284
• /
• 2000

According as the drivers increase who have their cars, the comprehensive studies on the automobile for the traffic safety have been raised as the important problems. Visual Recognition System for radio-controled driving is a part of the sensor processor of Unmanned Autonomous Vehicle System. When a driver drives his car on an unknown highway or general road, it produces a model from the successively inputted road traffic information. The suggested Recognition System of the Road Traffic Safety Information Board is to recognize and distinguish automatically a Road Traffic Safety Information Board as one of road traffic information. The whole processes of Recognition System of the Road Traffic Safety Information Board suggested in this study are as follows. We took the photographs of Road Traffic Safety Information Board with a digital camera in order to get an image and normalize bitmap image file with a size of $200{\times}200$ byte with Photo Shop 5.0. The existing True Color is made up the color data of sixteen million kinds. We changed it with 256 Color, because it has large capacity, and spend much time on calculating. We have practiced works of 30 times with erosion and dilation algorithm to remove unnecessary images. We drawing out original image with the Region Splitting Technique as a kind of segmentation. We made three kinds of grouping(Attention Information Board, Prohibit Information Board, and Introduction Information Board) by RYB( Red, Yellow, Blue) color segmentation. We minimized the image size of board, direction, and the influence of rounding. We also minimized the Influence according to position. and the brightness of light and darkness with Eigen Vector and Eigen Value. The data sampling this feature value appeared after building the learning Code Book Database. The suggested Recognition System of the Road Traffic Safety Information Board firstly distinguished three kinds of groups in the database of learning Code Book, and suggested in order to recognize after comparing and judging the board want to recognize within the same group with Nearest Neighborhood Decision Making.

• Culinary science and hospitality research
• /
• v.21 no.5
• /
• pp.204-213
• /
• 2015

In the food and beverage industry, foodscape is known as an important component in satisfy the customer and return patronage. However, it has been overlooked in the restaurant service quality as well as less examined in the hospitality journal. Thus, it causes that the restaurant managers have little knowledge on how the foodscape influences customer satisfaction as well as behavioral intention. Therefore, the purpose of this study is to analyze the role of foodscape attributes on customer satisfaction and behavioral intention in $caf{\acute{e}}$ in Johor Bahru, Malaysia. The sample size of the questionnaire in this study was 322 respondents who are Generation Y in the age group between 18 and 35 years old. Multiple regression was used in the study to identify the relative importance of foodscape attributes that lead to customer satisfaction and behavioral intention. Through this research, the restaurant managers would aware and realize that foodscape would have relationships between customer satisfaction as well as behavioral intention.

• Journal of KIISE:Software and Applications
• /
• v.31 no.5
• /
• pp.570-576
• /
• 2004

It is very difficult to efficiently solve a large-scaled maximal covering problem(MCP) by a genetic algorithm. In this paper, we present new crossover and mutation operators specially designed for genetic algorithms to solve large-scaled MCPs efficiently. We also introduce a novel genetic algorithm employing unexpressed genes. Unexpressed genes are the genes which are not expressed and thus do not affect the evaluation of the individuals. These genes play the role of reserving information susceptible to be lost by the application of genetic operations but is suspected to be potentially useful in later generations. The genetic algorithm employing unexpressed genes enjoys the advantage of being able to maintain diversity of the population and thus can search more efficiently to solve large-scaled MCPs. Experiments with large-scaled real MCP data has shown that our genetic algorithm employing unexpressed genes significantly outperforms tabu search which is one of the popularly used local neighborhood search algorithms for optimization.

• The Journal of the Korea Contents Association
• /
• v.18 no.12
• /
• pp.444-455
• /
• 2018

In regard to the growth and development of Innocity from improvements in Innocity settlement environment, this research examines the level of satisfaction of Innocity settlement environment to propose a political implications. We deduced the main cause of settlement environment satisfaction by performing logistic regression on the public institution employees level of satisfaction in respect to 4 Innocity characteristics?six physical properties, three social properties, five facility properties, three economical properties?and three general questions. As a result, the greatest factor of settlement environment was physical properties, such as natural environment and scenery, residential environment, availability of diverse uses in the surrounding area, and access to public transportation. In addition, social characteristics (relationships with neighbors), and facilities (availability of industrial, research and educational facilities) were also significant. This research provided political implications for future Innocity settlement environment improvements despite limiting factors such as residents' perception and limited surveyed sites.

• The Journal of Korean Institute of Next Generation Computing
• /
• v.14 no.5
• /
• pp.40-52
• /
• 2018

Solid state drive (SSD) cache technologies that are used as a second-tier cache between the main memory and hard disk drive (HDD) have been widely studied. The SSD cache requires a new prefetching scheme as well as cache replacement algorithms. This paper presents a prefetching scheme for a storage-class cache using SSD. This prefetching scheme is designed for the storage-class cache and based on a long-term scheduling in contrast to the short-term prefetching in the main memory. Traditional prefetching algorithms just consider only read, but the presented prefetching scheme considers both read and write. An experimental evaluation shows 2.3% to 17.8% of hit rate with a 64GB of SSD and the 4GiB of prefetching size using an I/O trace of 14 days. The proposed prefetching scheme showed significant improvement of cache hit rate and can be easily implemented in storage-class cache systems.

• The Journal of the Korea Contents Association
• /
• v.22 no.7
• /
• pp.370-383
• /
• 2022

The purpose of this study is to propose an art healing program that can be used in the field to improve the quality of life and positive interaction between the elderly with mild dementia and their spouses. Therefore, after considering the preceding studies, the art healing program was constructed in five stages: survey-analysis-design-plan-implementation and evaluation based on theoretical discourse. In addition, by pilot application to the elderly with mild dementia and their spouses using the Y Dementia Relief Center, the art healing program provides internal positive resources, strengthens mutually beneficial resources between husband and wife, and improves life satisfaction and happiness by experiencing relationships with neighbors in the local community. was confirmed to be effective. This study is significant in that it proposes an art healing support plan that supports dementia patients and their families together before entering a super-aging society.

• Journal of the Korea Society of Computer and Information
• /
• v.27 no.7
• /
• pp.101-108
• /
• 2022

We propose an intrusion detection model that detects denial-of-service(DoS) and distributed reflection denial-of-service(DRDoS) attacks, based on the empirical data of each internet of things(IoT) device by training system and network metrics that can be commonly collected from various IoT devices. First, we collect 37 system and network metrics from each IoT device considering IoT attack scenarios; further, we train them using six types of machine learning models to identify the most effective machine learning models as well as important metrics in detecting and distinguishing IoT attacks. Our experimental results show that the Random Forest model has the best performance with accuracy of over 96%, followed by the K-Nearest Neighbor model and Decision Tree model. Of the 37 metrics, we identified five types of CPU, memory, and network metrics that best imply the characteristics of the attacks in all the experimental scenarios. Furthermore, we found out that packets with higher transmission speeds than larger size packets represent the characteristics of DoS and DRDoS attacks more clearly in IoT networks.