• KIPS Transactions on Computer and Communication Systems
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• v.7 no.9
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• pp.235-242
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• 2018

Various technologies have been developed to more efficiently share content such as P2P, CDN, and CCN. These technologies take a common approach that content request packets is responded by distributed network nodes or hosts, not by a single content distributor. Such approaches not only resolve network congestion around content distributors, but also make it possible to distribute content regardless of the system and network status of content distributors. However, when receiving content from distributed nodes/hosts, not from authenticated distributors, users cannot practically identify which node/host sent content to them. Due to this characteristic, various hacking caused by the malicious modification of content is possible. Therefore, to make such approaches more secure, a content authentication technique is required. In this paper, we propose a improved operation of MHT used in CCN for authenticating distributed content. Then we evaluate the proposed method by comparing its performance with the existing technology.

• Journal of Information Management
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• v.43 no.1
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• pp.41-62
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• 2012

Because of the electronic commerce development, share of the internet bookstore is rising every year in the publication circulation market. Also, the book search in the internet bookstore may smarten more forward according to development trend of the electronic book, and importance of the classification system of the internet bookstore is expected that also rise continuously. The purpose of this study is to offer the classification system that can search the social science books of the internet bookstore efficiently. For this study, compared and analyzed the classification system of internal and external 10 internet bookstores. This study may be used to other subject study of the internet bookstore, and it expect to is used to basic data for the classification system of the internet bookstore in the future.

• Journal of Broadcast Engineering
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• v.17 no.1
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• pp.37-48
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• 2012

These days many DLNA home media network services start in home network area. DLNA networking softwares included in DLNA media devices contains all of server, renderer and controller functions. But a home media device in home media network environment not uses all of DLNA functions but uses only limited functions. Using all of integrated DLNA functions wastes networking and processing resources especially in home media network, because a home media device uses very limited functions. For example, a smart-TV has a main role of playback and a network attached storage has a main role of media content storage. In this paper, we analyze integrated DLNA networking softwares and design DLNA software models representing each home media device so as to utilize device resources efficiently. And we implement DLNA softwares for smart-TV and smart-phone and test resource efficiency.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.66 no.1
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• pp.89-99
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• 2017

Many works have attempted to solve the scalability, the availability, and the low-latency problems of peer-to-peer (P2P) live video streaming; yet, the problems still remain. While tree-based systems are vulnerable to churn, the mesh-based systems suffer from high delay and overhead. The DHT-aided chunk-driven overlay (DCO) [1] tried to tackle these problems by using the distributed hash table (DHT), which structures into a mesh-based overlay to efficiently share the video segment. However, DCO fully depends on the capacity of the users' device which is small and unstable, i.e., the users' device may leave and join the network anytime, and the video server's bandwidth can be insufficient when the number of users joining the network suddenly increases. Therefore, cloud assist is introduced to overcome those problems. Cloud assist can be used to enhance the availability, the low-latency, and the scalability of the system. In this paper, the DHT is used to maintain the location of the streaming segments in a distributed manner, and the cloud server is used to assist other peers when the bandwidth which required for sharing the video segment is insufficient. The simulation results show that by using the threshold and cloud assist, the availability and the low-latency of the video segments, and the scalability of the network are greatly improved.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.22 no.3
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• pp.391-398
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• 2018

There are many problems caused by data sharing between general heterogeneous digital devices due to various interfaces. To solve this problem, this paper proposes heterogeneous data sharing with cloud service and mobile through D2D communication that supports communication between different devices. The proposed technique is used to reduce the load on the server to perform data synchronization. Also, in order to minimize data latency caused by data replication between different devices, a technique to enhance the speed of data writing with copying only the modified parts in the chunk list is adopted and cloud service model integrated with mobile environment is realized in order to minimize the network bandwidth consumed for synchronization for data sharing. Therefore, it is possible to share data in different spaces efficiently with maintaining data integrity and minimizing latency in data.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.11
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• pp.758-764
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• 2018

Digital documents such as patents, scholarly papers and research reports have author keywords which summarize the topics of documents. Different documents are likely to describe the same topic if they share the same keywords. Document clustering aims at clustering documents to similar topics with an unsupervised learning method. However, it is difficult to apply to a large amount of documents event though the document clustering is utilized to in various data analysis due to computational complexity. In this case, we can cluster and connect massive documents using keywords efficiently. Existing bottom-up hierarchical clustering requires huge computation and time complexity for clustering a large number of keywords. This paper proposes an inverted index based bottom-up clustering for keywords and analyzes the results of clustering with massive keywords extracted from scholarly papers and research reports.

• Journal of the Korea Convergence Society
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• v.9 no.11
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• pp.91-97
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• 2018

The plant factory represents one of the future agricultural systems into which ubiquitous information technology (U-IT) is incorporated, including sensor networking, and helps minimize the influence of external experimental factors that constrain the use of existing greenhouse cultivation techniques. A plant factory's automated cultivation system does not merely provide convenience for crop cultivation, but also expandability as a platform that helps build a knowledge database based on its acquired information and develop education and other application services using the database. For the expansion of plant factory services, this study designed a plant factory interworking service (PFIS) which allows plant factories to share crop growth-related information efficiently among them and performed a test on the service and its implementation.

• Journal of Internet Computing and Services
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• v.20 no.1
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• pp.57-65
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• 2019

In the case of Domeggook B2B online shopping malls, it has a market share of over 70% with more than 2 million members and 800,000 items are sold per one day. However, since the same or similar items are stored and registered in different catalog entries, it is difficult for the buyer to search for items, and problems are also encountered in managing B2B large shopping malls. Therefore, in this study, we developed a catalog entry auto classification and recommendation system for products by using semi-supervised machine learning method based on previous huge shopping mall purchase information. Specifically, when the seller enters the item registration information in the form of natural language, KoNLPy morphological analysis process is performed, and the Naïve Bayes classification method is applied to implement a system that automatically recommends the most suitable catalog information for the article. As a result, it was possible to improve both the search speed and total sales of shopping mall by building accuracy in catalog entry efficiently.

• Journal of Digital Convergence
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• v.17 no.10
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• pp.13-21
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• 2019

The restricted network or the unbalanced distribution of spectrum is causing the problems of lack of spectrum resources and deterioration of the service quality. In addition, the existing centralized radio sharing method has not been a fundamental solution for radio sharing and is inefficient in terms of cost, convenience, and security. In this paper, we propose a blockchain-based spectrum sharing as a low-cost, trustworthy, high-efficiency platform that can distribute and share spectrum resources, and propose policies to realize this. In the spectrum sharing platform, spectrum information about Wi-Fi AP and LTE mobile hotspot is registered in the blockchain, and spectrum sharers and users can conclude peer-to-peer spectrum sharing contract quickly and efficiently through smart contract. The pay for the shared spectrum resources and reward for spectrum quality management open platform ecosystem to activate the circulation-sharing and it can provide a convenient and efficient public wireless infrastructure.

• The Journal of KAIRB
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• v.3 no.1
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• pp.1-10
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• 2021

In 2004, India began investing in the clinical trial industry; the country now boasts a 20% market share with the help of a valuable resource - the world's second largest population. The Contract Research Organization has been able to generate profits efficiently conducting clinical trials via a large pool of participants, skilled researchers, and reduced developmental costs. As the demand and sheer number of global clinical trials increased, the International Council of Harmonization-Good Clinical Practice was introduced, and the need for the Institutional Review Board increased. While the clinical trial industry in India boomed, it came at the expense of the participants' civil rights. The increased media attention regarding the ethical issues forced the Indian Supreme Court to take action. Consequently, India is the only country, by law, that specifically compensates participants suffering from injury directly resulting from participation in clinical trials. This research paper will describe and compare the relevant laws of India and Korea including compensation criteria. In addition, the ethical issues and aspects of indemnity in clinical trials will be discussed. While the clear advantage of the compensation is one of the protected rights of a clinical subject, the current system is not perfect. Furthermore, laws created to redeem ethical issues can have unintended, negative consequences.