• The Korean Journal of Health Service Management
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• v.5 no.1
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• pp.1-13
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• 2011

The purpose of this paper was to evaluate performance of information system for one national university hospital in order to identify the factors influencing performance of information system. KPIs were collected for 181 users of information system (41 doctors, 104 nurses, and 11 medical supporting staffs, and 25 administrative staffs) from August 10 to 24, 2010. The results were as follows: Average performance score for input layer was 3.16; average performance score for process layer was 3.35; and average performance score for business layer was 3.57. Scores for input layer was lowest for nurses and scores for process and business layer were lowest for doctors. Results from the path analysis showed that system quality, demographic characteristics, and security significantly influenced management process but these factors except demographic characteristics influenced user satisfaction; and management process also significantly influenced user satisfaction.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.18 no.1
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• pp.64-88
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• 2024

Security and reliability are the utmost importance facts in intelligent networked vehicles. Stochastic Petri Net and Z (SPZN) as an excellent formal verification tool for modeling concurrent systems, can effectively handles concurrent operations within a system, establishes relationships among components, and conducts verification and reasoning to ensure the system's safety and reliability in practical applications. However, the application of a system with numerous nodes to Petri Net often leads to the issue of state explosion. To tackle these challenges, a refinement and abstraction method based on SPZN is proposed in this paper. This approach can not only refine and abstract the Stochastic Petri Net but also establish a corresponding relationship with the Z language. In determining the implementation rate of transitions in Stochastic Petri Net, we employ the interval average and weighted average method, which significantly reduces the time and space complexity compared to alternative techniques and is suitable for expert systems at various levels. This reduction facilitates subsequent comprehensive system analysis and module analysis. Furthermore, by analyzing the properties of Markov Chain isomorphism in the case study, recommendations for minimizing system risks in the application of intelligent parking within the intelligent networked vehicle system can be put forward.

• Convergence Security Journal
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• v.6 no.3
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• pp.127-133
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• 2006

Some Research is actively being done on a web-based collaborative learning system. This is changes in educational paradigm in the knowledge information age. A web-based collaborative learning system for question making is to improve the effect of studying through positive interactions between colleagues and to motivate studying through group competitions. This system is designed to active and self-leading studying when a learner do collaborative learning for question making in group. This system can help initiate and active studying to learner through a course of collaborative learning for question making. It can be used to achieve collaborative learning in various ways.

• International Journal of Computer Science & Network Security
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• v.21 no.3
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• pp.177-184
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• 2021

All over the world, people are affected by many chronic diseases and medical practitioners are working hard to find out the symptoms and remedies for the diseases. Many researchers focus on the feature detection of the disease and trying to get a better health recommendation system. It is necessary to detect the features automatically to provide the most relevant solution for the disease. This research gives the framework of Health Recommendation System (HRS) for identification of relevant and non-redundant features in the dataset for prediction and recommendation of diseases. This system consists of three phases such as Pre-processing, Feature Selection and Performance evaluation. It supports for handling of missing and noisy data using the proposed Imputation of missing data and noise detection based Pre-processing algorithm (IMDNDP). The selection of features from the pre-processed dataset is performed by proposed ensemble-based feature selection using an expert's knowledge (EFS-EK). It is very difficult to detect and monitor the diseases manually and also needs the expertise in the field so that process becomes time consuming. Finally, the prediction and recommendation can be done using Support Vector Machine (SVM) and rule-based approaches.

• International Journal of Computer Science & Network Security
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• v.22 no.7
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• pp.347-351
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• 2022

Farmers E-Market is a website that allows agricultural workers to direct market their products to buyers without the use of a middleman. That theory is blockchain system will be used by authors to accomplish this. The system, which is built on a public blockchain system, supports sustainability, shippers, and consumers. Farmers can keep track of their farming activities. Customers can review the product's history and track its journey through carriers to delivery after making a purchase. Farmers are encouraged to get information about their interests promptly in a blockchain-enabled system like this. This functionality is being used by small-scale farmers to form groups based on their location to attract large-scale customers, renegotiate farming techniques or volumes, and enter into contracts with buyers. The analysis shows the use of blockchain technology with a farmer's portal that keeps the video of trading data of crops, taking into account the qualities of blockchain such as values and create or transaction data. The proposal merges python as a programming language with a blockchain system to benefit farmers, vendors, and individuals by preserving transactions.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2008.05a
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• pp.616-619
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• 2008

In this paper, we design and implement the authentication system for home network service and applied it to actual sensor nodes. We achieved authentication key, encryption and decryption applied RC5 encryption algorithm of SNEP. In addition, we used pair-wise key pre-distribution for prevention of authentication sniffing in wireless sensor network. The experiment environment consists of a base station receiving data and sensor nodes sending data. Each sensor nodes sends both the data and encrypted authentication key to the base station. As a simulation environment, we assumed some what-if scenarios of security menaces in home network service. And we slightly altered the TOS_Msg construction of TinyOS. The experiences had shown that the malfunction doesn't happen in communication among other groups. And we confirmed in tests that the system is secure when a sensor having malicious propose is added.

• 전자공학회논문지 IE
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• v.46 no.2
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• pp.22-32
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• 2009

In this article, the protection system on wireless mobile communication circumstance for the information providers and the users is recommended. Because of its usefulness and convenience, the users of the wireless mobile communication are growing explosively. However, the function of protecting data systems is not secured enough so, personal information may disclose to the outside, regardless of one's intention. Therefore, the contents protection system, which can provide information to the user or hide it depending on user's identity, is suggested. If so, the providers and the users can trust each other for interchanging information, also the users may safely use contents menu whatever they want by doing simple certification process.

• Journal of the Korean Institute of Intelligent Systems
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• v.20 no.5
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• pp.659-664
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• 2010

This paper provides an integrated framework for biometric data and private information protection in TeleHealth. Biometric technology is indispensable in providing identification and convenience in the TeleHealth environment. Once biometric information is exposed to mallicious attacker, he will suffer great loss from the illegferuse of his biometric data by someone else because of difficulty of change not like ID and password. We have to buil by someone esystem data bon the integrated framework for biometric data and private information protection in TeleHealth. First, we consider the structure of the biometric system and the security requirements of y someone esystem data bon the biometrics. And then, we define the TeleHealth system model and provide the vulnerabilities and countermeasures of the biometric-data by someone eintegrated model.byhe TeleHealth sse bec requires two-phata authentication for countermeasure. Finally, we made some functionferrequirements for main componenets of biometric-data bintegrated TeleHealth system framework to protect biometric data.

• Journal of Internet Computing and Services
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• v.11 no.4
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• pp.143-158
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• 2010

The illegal leakage of enterprise digital confidential information will threaten the enterprise with bankruptcy. Today since most small-and-medium companies have no capability to fight against illegally compromising their critically confidential documents in spite of knowing the leakage of them, strongly safe distribution system of the digital confidential documents should be designed so in secure as to prevent any malicious intent of embezzlement from accessing the critical information. Current DRM-based protection system is not always perfect to protect the digital secrets, even seems to leave the secrets open. Therefore our study has analyzed the illegal leakage paths that hackers attack against and the vulnerability of the current protection systems. As result, we study the group communication based system architecture satisfying the security conditions to make even legitimate working employee keep out of the confidential documents, without performance degradation. The main idea of this architecture is to stay every secrets in encrypted form; to isolate the encrypted documents from the crypto-key; to associate every entity with one activity and to authenticate every entity with DSA-based public key system; multiple authentication method make hackers too busy to get a privilege to access the secrets with too many puzzle pieces. This paper deal with the basic architectural structure for the above issues.

• Journal of Convergence for Information Technology
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• v.9 no.1
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• pp.38-44
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• 2019

As 4th industrial revolution era has come, autonomous driving vehiecle gets its attention for commercialization and development and thus its impact on society. To this end, several countries such as US, England and Germany are preparing their own legal systems to come up with commercialization of autonomous driving vehiecle. In this country, Korea is also developing autonomous driving vehiecle and looking forward its commercialization yet the legal system of Korea lacks of laws, regulations, rules, guidelines and so on. Hence, it is our intention to look into Korean legal system providing the analysis of current Korean legal system in detail. This paper also provides further directions to have balance between commercialization success and risk management in this country and, as a result creates a small step toward 4th industrial revolution society.