• Journal of KIISE
• /
• v.42 no.8
• /
• pp.972-978
• /
• 2015

Non-volatile memory (NVM) supports both byte addressability and non-volatility. These characteristics make it feasible for NVM to be employed at any layer of the memory hierarchy such as cache, memory and disk. An interesting characteristic of NVM is that, even though it supports non-volatility, its retention capability is limited. Furthermore NVM has tradeoff between its retention capability and write latency. In this paper, we propose a novel NVM-based file cache management scheme that makes use of the limited retention capability to improve the cache performance. Experimental results with real-workloads show that our scheme can reduce access latency by up to 31% (24.4% average) compared with the conventional LRU based cache management scheme.

• Journal of the Korean Society for information Management
• /
• v.37 no.2
• /
• pp.251-284
• /
• 2020

As the use of information has emerged as the core of national competitiveness, major developed countries and the Korean government have realized the importance of data. They have pursued technical research and standard establishment for long-term preservation and continuously strived for systematic management and preservation of data. However, although various types of data are specified for the purpose of record management in the law, there is no specific method on how to collect, manage and preserve them, except standard electronic documents. In particular, management and preservation of huge datasets from the administrative information system have been strongly demanded above all. Any guidelines for datasets do not have been properly provided. After the framework for selecting preservation format must be prepared, the system can be supplemented and built. The framework considering the characteristics of the dataset should be specified more concretely, and empirical verification of the conversion and restoration for the dataset preservation format derived according to the selection criteria is necessary. Therefore, this study intends to propose a method for long-term preservation through empirical verification of the preservation format after deriving an evaluation the framework for the preservation format selection criteria considering the characteristics of the dataset.

• Korean Journal of Remote Sensing
• /
• v.14 no.2
• /
• pp.149-164
• /
• 1998

The main object of this study was to prove the effectiveness of different merging methods by using the high resolution IRS(Indian Remote Sensing Satellite)-1C panchromatic data and the multispectral Landsat TM data. The five methods used to merging the information contents of each of the satellite data were the intensity-hue-saturation(IHS), principal component analysis(PCA), high pass filter(HPF), ratio enhancement method and look-up-table(LUT) procedures. Two measures are used to evaluate the merging method. These measures include visual inspection and comparisons of the mean, standard deviation and root mean square error between merged image and original image data values of each band. The ratio enhancement method was well preserved the spectral characteristics of the data. From visual inspection, PCA method provide the best result, HPF next, ratio enhancement, IHS and LUT method the worst for the preservation of spatial resolution.

• Proceedings of the Korean Information Science Society Conference
• /
• 2006.06b
• /
• pp.229-231
• /
• 2006

웹 마이닝은 e-서비스 시스템에서 고객 활동을 분석하기 위하여 널리 보급된 방법 중 하나로서 궁극적인 목표는 새로운 고객을 얻고 기존 고객을 유지하면서 고객의 생산성을 증가시키는데 도움을 줄 수 있는 유용한 정보를 인식하는 것이다. 그러나 웹 로그 자료와 고객의 구매 패턴 사이에 직접적인 관계가 없고, 실험 데이터 집합이 적고 부정확 할 경우 실험 데이터의 적은 집합만으로 유용한 정보를 인식하는 것은 불충분하기 때문에 유용한 정보를 인식하는 것은 더욱 어렵게 된다. 본 논문에서는 기업들에게 유용한 패턴을 제공할 수 있는 독자적인 분류 방법을 사용하여 기존 고객의 보존력을 높일 수 있는 높은 정확도를 가지는 소형 트리를 구축할 수 있었다.

• Journal of the Korea Society of Computer and Information
• /
• v.20 no.6
• /
• pp.59-76
• /
• 2015

Recent wide spread of embedded devices and technology growth of broadband communication has led to rapid increase in the volume of created and managed data. As a result, data centers have to increase the storage capacity cost-effectively to store the created data. Data deduplication is one way to save the storage space by removing redundant data. This work propose IO extent based deduplication schemes called CORE-Dedup that exploits content-preserving access locality. We acquire IO traces from block device layer in virtual machine host, and compare the deduplication performance of chunking method between the fixed size and IO extent based. At multiple workload of 10 user's compile in virtual machine environment, the result shows that 4 KB fixed size chunking and IO extent based chunking use chunk index 14500 and 1700, respectively. The deduplication rate account for 60.4% and 57.6% on fixed size and IO extent chunking, respectively.

• The Korean Journal of Archival Studies
• /
• no.52
• /
• pp.5-37
• /
• 2017

In consideration of the drastic transformation of records management environments, this study aims to suggest the directions for redesigning the electronic records management policies at a national level. First, it clarifies the four implicit objectives of electronic records management policies since the 2006 amendment of the Public Records Management Act, such as comprehensiveness for ensuring the appropriate management of any type of digital records, digital-friendly processes for records management, proper management for guaranteeing the evidential value of digital records, and long-term preservation of digital records. Second, it examines the challenging environmental factors in the areas since 2006. Third, it reviews the achievement of the policies as well as failures based on analyzing the policy documents and data from the National Archives of Korea. Fourth and finally, it suggests core areas and directions for redesigning the electronic records management policies, emphasizing the inclusiveness for data-type electronic records.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2013.10a
• /
• pp.211-213
• /
• 2013

In these days, the delusions of Big Data and apprehension about them are coming into the picture in many business fields. General techniques for preservation, analysis, and utilization of Big Data are falling short of useful techniques for the volume of fast-increasing data. However, there are some assertions that the power of analysis and prediction of Artificial Intelligence would intensify the power of Big Data analysis. This paper studies on business cases to try to graft the Artificial Intelligence technique onto Big Data analysis. We first research on various techniques of Artificial Intelligence and relations between Artificial Intelligence and Big Data. And then, we perform case studies of Big Data with using Artificial Intelligence and propose some roles of Big Data in the future.

• Journal of Korea Society of Industrial Information Systems
• /
• v.11 no.5
• /
• pp.236-244
• /
• 2006

Many attempts have been made to track the web usage patterns and provide suggestions that might help web operators get the information they need. These tracking mechanisms rely on mining web log files for usage patterns. The purpose of this study is to verify a web agent prototype that was built for mining web log files. The web agent for this paper was made by Java and ASP and the agent came into being as part of a cookie for a short-term data storage. For long-term data storage, the agent used a My-SQL as a Data Base. This agent system could inform that if the data comes from the web data mining agent, it could be a rapid information providing method rather than the case of data coming into a data mining tool. Therefore, the developed tool in this study will be helpful as a new kind of decision making system and expert system.

• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.24 no.1
• /
• pp.89-95
• /
• 2024

Nowadays, the competitiveness of a company depends on the ability of all organizational members to share and utilize the organizational knowledge accumulated by the organization. As if to prove this, the world is now focusing on ChetGPT service using generative AI technology based on LLM (Large Language Model). However, it is still difficult to apply the ChetGPT service to work because there are many hallucinogenic problems. To solve this problem, sLLM (Lightweight Large Language Model) technology is being proposed as an alternative. In order to construct sLLM, corporate data is essential. Corporate data is the organization's ERP data and the company's office document knowledge data preserved by the organization. ERP Data can be used by directly connecting to sLLM, but office documents are stored in file format and must be converted to data format to be used by connecting to sLLM. In addition, there are too many technical limitations to utilize office documents stored in file format as organizational knowledge information. This study proposes a method of storing office documents in DB format rather than file format, allowing companies to utilize already accumulated office documents as an organizational knowledge system, and providing office documents in data form to the company's SLLM. We aim to contribute to improving corporate competitiveness by combining AI technology.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.17 no.7
• /
• pp.607-615
• /
• 2016

This study concerns the transmission of energy and data using induced electromotive force. Due to the requirements of weapon systems, most arms are kept in an armory for a very long time before being used. During this time, the reserve battery, which serves mostly as a power supply for the electronic fuze, can be degraded, thus causing problems when it is actually needed. We attempt to solve the various problems associated with the old fuze system caused by long-term storage by using the 'induction power' transmitted from another device just before its operation, instead of using 'built-in power'. We tried to find the best carrier frequency to communicate with the system by induced electromotive force. Also, we changed the communication method for transmitting the 'induction power' from 'FM/AM modulation' to 'Duty ratio modulation', which can transmit a large amount of data in a short time. Through experiments, it was demonstrated that the induction coil can replace the reserve fuze's battery without any problem, thus confirming the possibility of using an induction coil as the power supply source of the electronic fuze.