• Journal of the Korean Society of Systems Engineering
• /
• v.15 no.1
• /
• pp.34-42
• /
• 2019

Receiving great attention of IoT and 4th industrial revolution, the necessity comes to the fore of the plant system which aims making it smart and effective. Smart Factory is the key realm of IoT to apply with the concept to optimize the entire process and it presents a new and flexible production paradigm based on the collected data from numerous sensors installed in a plant. Especially, the wireless sensor network technology is receiving attention as the key technology of Smart Factory, researches to interface those technology is actively in progress. In addition, IoT devices for plant industry security and high reliable network protocols are under development to cope with high-risk plant facilities. In the meanwhile, Blockchain can support high security and reliability because of the hash and hash algorithm in its core structure and transaction as well as the shared ledger among all nodes and immutability of data. With the reason, this research presents Blockchain as a method to preserve security and reliability of the wireless communication technology. In regard to that, it establishes some of key concepts of the possibility on the blockchain based IoT Edge devices for Plant O&M (Operations and Maintenance), and fulfills performance verification with test devices to present key indicator data such as transaction elapsed time and CPU consumption rate.

• International Journal of Advanced Culture Technology
• /
• v.10 no.1
• /
• pp.274-283
• /
• 2022

Korea is facing a number difficulties arising from rising housing prices. As 'housing' takes the lion's share in personal assets, many difficulties are expected to arise from fluctuating housing prices. The purpose of this study is creating housing price prediction model to prevent such risks and induce reasonable real estate purchases. This study made many attempts for understanding real estate instability and creating appropriate housing price prediction model. This study predicted and validated housing prices by using the LSTM technique - a type of Artificial Intelligence deep learning technology. LSTM is a network in which cell state and hidden state are recursively calculated in a structure which added cell state, which is conveyor belt role, to the existing RNN's hidden state. The real sale prices of apartments in autonomous districts ranging from January 2006 to December 2019 were collected through the Ministry of Land, Infrastructure, and Transport's real sale price open system and basic apartment and commercial district information were collected through the Public Data Portal and the Seoul Metropolitan City Data. The collected real sale price data were scaled based on monthly average sale price and a total of 168 data were organized by preprocessing respective data based on address. In order to predict prices, the LSTM implementation process was conducted by setting training period as 29 months (April 2015 to August 2017), validation period as 13 months (September 2017 to September 2018), and test period as 13 months (December 2018 to December 2019) according to time series data set. As a result of this study for predicting 'prices', there have been the following results. Firstly, this study obtained 76 percent of prediction similarity. We tried to design a prediction model of real estate transaction price with the LSTM Model based on AI and Bigdata. The final prediction model was created by collecting time series data, which identified the fact that 76 percent model can be made. This validated that predicting rate of return through the LSTM method can gain reliability.

• The Journal of Korean Institute of Communications and Information Sciences
• /
• v.31 no.1C
• /
• pp.74-79
• /
• 2006

When DRM systems are built on a specific computing platform and a coding algorithm, the interoperability among them will be improbable. For enhanced compatibility, MOSES has been developed such that it has a structure that can be decomposed into independent modules for interoperability with other DRM systems with IPMP functionality. In MOSES, security in contents transaction is provided by JPWallet which controls licenses with key management. In this paper, we present the structure of JPWallet and how the keys are handled between contents servers and contents-consuming clients. The PDA-based codes from the prototype MOSES system have been ported into PC-based codes and tested for compatibility. Analysis of JPWallet, which is the core of MOSES, will contribute to the standardization of domestic IPMP systems compatible with global standards.

• Asia pacific journal of information systems
• /
• v.9 no.2
• /
• pp.77-97
• /
• 1999

industry each which are using a kind of EDI, supplier-oriented Electronic Data Interchange(SOEDI) to procure materials, equipment and supplies more effectively. The major objective of this study are to determine the basic nature of the impact of SOEDI on the structure and procedure in purchasing. The other is to identify the variables or determinants which influence the benefits which can be experienced in purchasing organizations. This study was conducted through interviewing of organizations which are currently active in the use of EDI. Samples of 107 purchasing organizations were collected. Some key findings of this study are ; 1) There were remarkable differences on influencing level and relationship of determinants which influence the benefits of purchasing organizations. There was the most remarkable one in trading industry. 2) The more suppliers, the more benefits. The transaction rate with suppliers who are affiliated with EDI is low as a whole but suppliers who are affiliated with EDI can be a critical factor on selection of buyers. 3) Procedure related to purchasing order was mainly changed. There is a development on signature but still exists. 4) The number of employees were reduced a little bit.

• Journal of Information Processing Systems
• /
• v.16 no.2
• /
• pp.301-317
• /
• 2020

An enterprise patch-management system (PMS) typically supplies a single point of failure (SPOF) of centralization structure. However, a Blockchain system offers features of decentralization, transaction integrity, user certification, and a smart chaincode. This study proposes a Hyperledger Fabric Blockchain-based distributed patch-management system and verifies its technological feasibility through prototyping, so that all participating users can be protected from various threats. In particular, by adopting a private chain for patch file set management, it is designed as a Blockchain system that can enhance security, log management, latest status supervision and monitoring functions. In addition, it uses a Hyperledger Fabric that owns a practical Byzantine fault tolerant consensus algorithm, and implements the functions of upload patch file set, download patch file set, and audit patch file history, which are major features of PMS, as a smart contract (chaincode), and verified this operation. The distributed ledger structure of Blockchain-based PMS can be a solution for distributor and client authentication and forgery problems, SPOF problem, and distribution record reliability problem. It not only presents an alternative to dealing with central management server loads and failures, but it also provides a higher level of security and availability.

• Journal of the Society of Naval Architects of Korea
• /
• v.53 no.1
• /
• pp.18-28
• /
• 2016

In shipbuilding, the scheduling system is susceptible to sudden changes and thus it turns to be difficult to predict the differences between schedule and production records in advance. A computer-based simulation is commonly utilized to overcome the discrepancies occurred in estimating workloads and resulting processing times. The main drawback of this simulation-based solution is its limited applicability because, in most cases, each shipyard requires specific and customized simulation environment. By standardizing the planning data of the midterm scheduling system, as proposed in this paper, the efficiency of the current simulation model can be enhanced. To present an alternative approach, this paper begins with the analysis of the complex planning data structure of several shipyards and then proceeds to construct a standard data structure based on the neutral format. An interface application is developed for the data transaction and simulation in on-line environment. As a result, a simulation-based production management of shipyards can be achieved by the efficient prediction of planning and scheduling.

• The Journal of Information Systems
• /
• v.15 no.4
• /
• pp.99-124
• /
• 2006

The development of IT has made it possible to use various terminal systems for financial transaction and demands for financial survices are getting more and more diversified at the same time. Among others, mobile banking service market based on IC chips has been expanded its service areas and the number of mobile banking users has been increased. The study analyzes and tests the dynamic effects of the inflow of potential customers on mobile banking market condition by using system dynamics methodology to identify the dynamic structure of mobile banking market. The simulation model is designed to track the variation in the number of subscribers of mobile banking servides according to two scenarios, and the results are as follows; First the effect of word of mouth by customers who have used the service already is significant. The satisfactory level of early adopters is reflected in WOM, and as a test result shows, increase in word-of-mouth causes the growth of potential customers' demands for mobile banking service. Second, perceived attractiveness of mobile banking service market is another important construct. Factors such as convenience, mobility, time saving, security, and various services explain the construct perceived attractiveness of the service, and it makes the potential customers adopt the service, causing the increase of demands.

• Korean Journal of Agricultural Science
• /
• v.47 no.2
• /
• pp.283-290
• /
• 2020

In 2018, 647 thousand tons of eggs were produced and consumed. However, the issue of pesticides used for egg in 2017 made Korean consumers worry about the food safety of eggs, and the volume of egg consumption decreased. The Korean egg industry also has another problem due to an unclear and inefficient marketing structure at the farm level. This marketing situation of eggs at the farm level in Korea needs a large-scale restructuring of the market structure, including introducing an EPC (egg processing center). Especially, the introduction of an EPC has been discussed by government officers and specialists, but the social benefit of an EPC, which will be the driving point for approving an EPC, has not been measured yet. The purpose of this study was to measure the effect of introducing an EPC in Korea. Through an analysis using EDM (equilibrium displacement model), a few findings are presented. First, the introduction of an EPC may increase the transparency of price discovery and decrease the transaction cost. And thus, it results in a higher producer price, lower consumer price, and larger quantity at market equilibrium. Second, an EPC will improve the level of food safety of eggs, which can increase the satisfaction of domestic producers and consumers. Third, the introduction of an EPC may create new consumption of eggs. Based on these three effects, the new social benefits in monetary terms from the introduction of an EPC in Korea could be 23.9 - 35.2 billion won.

• KIEE International Transaction on Electrical Machinery and Energy Conversion Systems
• /
• v.3B no.4
• /
• pp.195-201
• /
• 2003

In accordance with the computerization of railway signaling systems, the interface link between signaling equipment has been replaced by a digital communication channel and the importance of this communication link has become increasingly significant. However, there are some problems with the present state of railway signaling. First, different communication protocol is applied to interfaces between signaling although they have the same functions. Next, the communication protocols currently used in the railway fields contain various illogical components such as structure, byte formation, error correction scheme and so on. To solve these matters, a new data link protocol for railway signaling systems is designed. In this paper, the structure of protocol and the results of performance analyses are presented. It will be expected to increase the safety, reliability and efficiency of maintenance of signaling systems by using the designed communication protocol for railway signaling in Korea.

• Journal of KIISE:Databases
• /
• v.34 no.3
• /
• pp.261-269
• /
• 2007

As a basic research to integrate and to retrieve XML documents efficiently, this paper proposes a clustering method by structures of XML documents. We apply an algorithm processing the many transaction data to the clustering of XML documents, which is a quite different method from the previous algorithms measuring structure similarity. Our method performs the clustering of XML documents not only using the cluster histograms that represent the distribution of items in clusters but also considering the global cluster cohesion. We compare the proposed method with the existing techniques by performing experiments. Experiments show that our method not only creates good quality clusters but also improves the processing time.