• Journal of Internet of Things and Convergence
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• v.6 no.2
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• pp.31-36
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• 2020

The remarkable change in the automobile industry, which is a traditional industrial field, is now evolving into a form of moving toward autonomous functions rather than humans due to various convenience functions and automatic driving or autonomous driving technologies if the person was central when driving the car. This situation is expanding to various industries such as the aviation industry and the drone market, as well as the robot market. The drone market in the aviation industry is being used in various fields due to the unmanned nature of drone operation. Among them, military drones are secret and due to the specificity of technology, details are not disclosed, but as a collection of advanced technologies, they have played a key role in drone development. In this study, the current status of China and the European Union, including the United States, which are major competitors in the drone field, was investigated, and the technologies of major countries were compared and analyzed through the characteristics and operational specifications of the drones currently in operation.

• Journal of the Korea Society of Computer and Information
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• v.18 no.6
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• pp.55-61
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• 2013

TSexual violence is physical and mental violence that violates the sexual self-determination contrary to the intention of the other party such as rape, forced molestation, sexual harassment, caught hidden camera. It is one of the many criminal acts that male is perpetrators and female is victims. Sexual harassment, one of the sexual violence is forced sexual harassment. It is considered a color frame where each pixel has 3 color components such that RGB. The averaging the absolute difference between the current frame and te next frame is divided by the absolute difference between the current frame and the previous frame. If there was a difference between the frame pair before a scene change the discontinuity value indicating a scene change could be relatively small. Therefore, Thus, the use of the redefined equation and redefined algorithm can be seen as it is much more good via experiment.

• Journal of KIISE:Information Networking
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• v.30 no.5
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• pp.614-620
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• 2003

As the proliferation of Internet, mobile agent related technologies are examined for possible growth and evolution. In information retrieval, network and distributed system management, and electronic commerce, mobile agent is more flexible than the traditional communication paradigm. Despite the performance benefits, mobile agent is not used widely in the market because it is very vulnerable to a variety of attacks. In many studies related the security vulnerability for a mobile agent, the high security causes the performance to degrade. In this paper, we propose and evaluate the efficient security model for mobile agent using TDGM(Trusted Domain & Guide Manager), which provides three kinds of services : the trusted domain management, the security service and the travel plan guide. The result clearly shows that this model provides high security and minimizes the performance degradation.

• Journal of KIISE:Computing Practices and Letters
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• v.7 no.4
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• pp.324-335
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• 2001

Information systems, which support information security functions such as CALS and EC systems, should have cryptographic functions for information in order to storage and communicate securely. Additionally, including recovery of lost keys, lots of cryptographic keys should be securely managed. In this paper, we present some results of development of a key recovery system for recovery of encrypted data. The proposed system, in a type of key encapsulation approach, confirms to NIST's RKRP(Requirements for Key Recovery Products) that is a defecto international key recovery standard, as well as CC 2.0 that is a international security evaluation criteria. A message sender secretly choices two or more key recovery agents from a pool of key recovery agents. The key recovery information is generated by using the recovering key, random keys and public keys of the chosen agents. A message receiver can not know which key recovery agents are involved in his key recovery service. We have developed two versions of prototype of key recovery system such as C/Unix and Java/NT versions. Our systems can be used for recovery of communicating informations as well as storing informations, and as a new security service solution for electronic commerce service infrastructures.

• The KIPS Transactions:PartB
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• v.15B no.4
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• pp.315-322
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• 2008

It is important to retrieve effectively the visual media such as pictures and video in the internet, especially to the application areas such as electronic art museum, e-commerce, and internet shopping malls. It is also needed in these areas to have content-based or even semantic-based multimedia retrieval instead of simple keyword-based retrieval. In our earlier research, we proposed a semantic-based visual media retrieval framework for the effective retrieval of the visual media from the internet. It uses visual media metadata and ontology based on the web service to achieve the semantic-based retrieval. In this research, there are more than one visual media service providers and one central service broker. As a preliminary step to the visual media data retrieval, a method is proposed to retrieve the service providers effectively. The method uses the structure of the ontology tree to obtain the providers and their rankings. It also uses the size of sub nodes and child nodes in the tree. It measures the rankings of providers more effectively than previous method. The experimental results show the accuracy of the method while keeping compatible speed against the existing method.

• Journal of the Korea Society of Computer and Information
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• v.19 no.10
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• pp.125-133
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• 2014

This paper develops a bankruptcy prediction model on an Artificial Neural Network for hotel management. A bankruptcy prediction model has a specific feature to predict a bankruptcy of the whole hotel business after evaluate bankruptcy possibility on the basis of business performance data of each branch. here are many traditional statistical models for bankruptcy prediction such as Multivariate Discriminant Analysis or Logit Analysis. However, we chose Artificial Neural Network because the method has accuracy rates of prediction better than those of other methods. We first selected 100 good enterprises and 100 bankrupt enterprises as experimental data and set up a bankruptcy prediction model by use of a tool for Artificial Neural Network, NeuroShell. The model and its experiments, which demonstrated high efficiency, can certainly provide great help in decision making in the field of hotel management and in deciding on the bankruptcy or financial solidity of each branch of serviced residence hotel.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.20 no.9
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• pp.1785-1790
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• 2016

There is exhibit a degree of pain in the occurrence and course of treatment levels or oral, pain rating scale actions, such as illness, for example, the discomfort scale because of the pain "annoying", "unpleasant" "annoyed am", "painful" represents a pain scale of the order of "painful", "hard to bear", "very difficult to bear". Depression is recognized based on the premise of the situation, because it is difficult to recognize themselves. In this paper we define the components of the depression can be seen lifestyle which can lead to depression or through a biological signal. The depression index was derived from the ontology modeling to understand the state of depression. Depression ontology components and depression index will be aware of the situation based information services for depression. Combined with the situational awareness based devices and can be synchronized to verify the results of the depression index. It will be applied to improve lifestyle factors that of depression.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.10 no.4
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• pp.872-876
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• 2009

The government has funded various types of projects to promote small and medium companies' computerization for several years. Most of these government-supported funds have been free and given small and medium firms good opportunities. The government has made various effects to manage results of these government-supported projects. We have not seen any noticeable research on the performance evaluation of government-supported projects for small and medium companies' computerization. This research proposes an approach that performance evaluations are made in different time based on evaluation area of government-supported information policy. The empirical study has been made by correlation analysis and has shown that the correlations among measurement factors are significant enough. The performance evaluation for government-supported information policy has been made differently in time depending on evaluation subjects such as organizational strategies, internal operations, supporting processes. Th experimental study shows that performance evaluations on organizational strategies, internal operations, supporting processes should be made respectively in long term(step3), mid term(step2), and short term(step1).

• Journal of Intelligence and Information Systems
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• v.17 no.3
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• pp.169-185
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• 2011

Data redundancy is problematic in that it not only induces heavy storage management cost but also could bring critical degradation of information systems. Unfortunately, to our knowledge, only few enterprises willingly afford time and efforts for the faithful conceptual design to prevent the degree of inappropriate data as much as they could, while most of enterprises pay rare attention to the notion of that sort of data quality. Wondering if there would be any other way to design the enterprise.wide data design without prior knowledge about business works is our major motivation for this study. In this paper, we present our data modeling methodology in which associations among objects in each sentences of a business job descriptions are treated as the focal point in database design. A proposed agent for automated design tool simply takes a business job description written in natural language as an input, and then designs an entity relationship diagram with some smart rules. We introduce the scope of the proposed agent and its detailed logics with several examples. And then, we verify the appropriateness of the resulted associations among objects. Lastly, we perform case studies to evaluate the devised agent's applicability to a business field.

• The KIPS Transactions:PartD
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• v.12D no.3 s.99
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• pp.365-374
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• 2005

The B2B electronic product commerce needs intermediary system to provide an integrated interface for the parts libraries of multiple suppliers. However, it is difficult to automatically integrate the parts libraries because they are heterogeneous. Existing ontology-based approaches show a limited functionality of automated integration of information because Dey can not prevent ontologies from being modeled in different ways, so that the inter-ontology mappings to resolve the heterogeneity become complicated and arbitrary. In order to overcome such problems this paper proposes an ontology modeling framework for parts libraries based on the Guarino's theory of upper ontology. The framework provides knowledge modeling primitives which have explicit formal meanings and modeling principles based on ontological natures. Using the framework, ontology developers can model the knowledge of parts libraries systematically and consistently, so that the resulting ontologies become comparable and uniform and the ontology merging algorithm for the automated information integration can be easily developed.