• Journal of Cadastre & Land InformatiX
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• v.47 no.2
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• pp.49-60
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• 2017

Recently, the use of mashup that integrates real-time data with spatial data such as tiled map and satellite imagery has been increased significantly. As the use of mashup has been extended to various fields of O2O, LBS, Smart City, and Autonomous Driving, the performance of mashup has become more important. Therefore, this study aims to compare and analyze the performance of various map platforms, when large amounts of real-time data are integrated with spatial data. Specifically, we compare the performance of most popular map platforms available in Korea, such as Google Maps, OpenStreetMap, Daum Map, Naver Map, olleh Map, and VWorld. We also compare the performance using most common web browsers of Chrome, Firefox and Internet Explorer. In the performance analysis, we measured and compared the initialization time of basic map and the mashup time of real-time data for the above map platforms. From analysis results, we could find that Google Maps, OpenStreetMap, VWorld, and olleh Map platforms showed a better performance than the others.

• The KIPS Transactions:PartC
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• v.10C no.3
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• pp.281-286
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• 2003

Nowadays, a patient's private medical data which is exposed to the outside world has a severe effect on not only the patient's private life but also his/her social activities and environment. So, it is important to securely protect the patient's private medical data from the illegal manipulation. This paper studies the method to store the electronic prescription information in an IC card. For that, an access control for users, such as a doctor, a nurse, a medical institute member, a pharmacy, a pharmacist, or a patient, is proposed to access the data stored in an IC card. The certificate is issued using the Crypto API of a certificate management model supported by Windows 2000. The public/private key is created by the Cryptographic Service Provider program, and the electronic prescription is signed using the digital signature. The proposed system, therefore, can improve the quality of medical services by securing the safety and integrity of the electronic prescription, stored in an IC card.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.21 no.12
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• pp.2305-2311
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• 2017

In recent years, there have been tries to open public data from various government agencies along with publicization of public information for the public interest. In other words, various kinds of electronic data generated and collected by the public institutions as a result of their work are opened in the public portal sites. However, users who use it are limited in their use of big data due to lack of understanding of data format, lack of data processing knowledge, difficulty in accessing and managing data, and lack of visualization data to understand collected and stored data. Therefore, in this study, we propose a big data collection, storing and visualization platform that can collect big data provided by various public sites using data set URL and API regardless of data format, re-process collected data using XML structure.

• Journal of Information Technology and Architecture
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• v.10 no.4
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• pp.537-552
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• 2013

Software-as-a-Service (SaaS) has led to paradigm shifts in the information management area by combining it with SOA and Mashup. System developers now have more chances to access various high-quality functions through API opened on the web. But external resources are controlled by service providers so that it raises the component's uncertainty in system management which is related to external resources. In the cloud environment, components related to external resources causes negative effects on system's maintainability by making them dependant on service providers. This study proposes a way to enhance maintainability by using stable external resources. For this work, we suggest the N+1-tier model in which an external resource tier is added to the N-tier model. After that, we analyze how adding an external resource tier affects the decreasing complexity of maintainability and improving maintainability on web application.

• Journal of Korea Multimedia Society
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• v.12 no.8
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• pp.1043-1054
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• 2009

As the semantic web receives higher concern with an intensified necessity in these days, the research on the ontology as its core technology has been carried out in various fields. The ontology has been adopted as an alternative to work out lots of problematic issues resulted from the insufficient vocabulary selection rules in folksonomy, widely accepted under Web 2.0. Therefore the importance of research to complementarily consolidate the two disciplines, the folksonomy and the ontology, has been increased. Based on this idea this research proposes a system, which pulls out, using open services, the location information tags from folksonomy-based metadata, ultimately extracts, following location information analyses, spatial relationships among tags, and in turn automatically constructs self-correcting location information domain ontology. The system devised in this study will associate data derived from easily accessible folksonomy with meaningful and technological information from ontology.

• Journal of Convergence for Information Technology
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• v.9 no.11
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• pp.81-91
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• 2019

Recently, social network service (SNS) is actively used by public. Among them, Twitter has a lot of tweets including sentiment and it is convenient to collect data through open Aplication Programming Interface (API). In this paper, we analyze social issues and suggest the possibility of using them in marketing through sentimental information of users. In this paper, we collect twitter text about social issues and classify as positive or negative by sentiment classifier to provide qualitative analysis. We provide a quantitative analysis by analyzing the correlation between the number of like and retweet of each tweet. As a result of the qualitative analysis, we suggest solutions to attract the interest of the public or consumers. As a result of the quantitative analysis, we conclude that the positive tweet should be brief to attract the users' attention on the Twitter. As future work, we will continue to analyze various social issues.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.23 no.9
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• pp.1160-1172
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• 2019

Federated authentication is a user authentication and authorization infrastructure that spans multiple security domains. Many overseas Web applications have been adopting SAML-based federated authentication. However, in Korea, it is difficult to apply the authentication because of the high market share of a specific Web (application) server, which is hard to use open-source SAML software and the high adoption of Java-based standard framework which is not easy to integrate with SAML library. This paper proposes the SAML4J, which is developed in order to have Web applications easily and safely integrated with the Java-based framework. SAML4J has a developer-friendly advantage of using a session storage independent of the framework and processing Web SSO flows through simple API. We evaluate the functionality, performance, and security of the SAML4J to demonstrate the high feasibility of it.

• The Journal of the Convergence on Culture Technology
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• v.7 no.4
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• pp.667-673
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• 2021

Unauthorized generations and sales of non-funable tokens (NFTs) without the consent of the creator is one of the biggest problems that arise in NFT Marketplaces. This study proposes a method to practically reduce the problem of NFT sales without the consent of the creator by means of authentication with social media accounts. Through the proposed method, creators who are already using social media as a means of communication and marketing for creative activities can authenticate with their own accounts. Creators who have difficulty authenticating with their own accounts will be provided with alternatives to authenticate using human networks. In addition, the proposed method of protecting creator rights was designed using a flowchart to enable development using only the public API (Application Programming Interface) provided by social media. The proposed method can protect creators' rights and reduce damage caused by NFT fraud by inducing buyers to trade NFTs of authorized sellers through social media.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.33 no.1
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• pp.75-86
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• 2023

Public key cryptography algorithm such as RSA and ECC, which are commonly used in current financial transaction services, can no longer guarantee security when quantum computers are realized. Therefore it is necessary to convert existing legacy algorithms to Post-Quantum Cryptography, but it is expected that will take a considerable amount of time to replace them. Hence, it is necessary to study a hybrid method combining the two algorithms in order to prepare the forthcoming transition period. In this paper we propose a hybrid session key exchange protocol that generates a session key by combining the legacy algorithm ECDH and the Post-Quantum Cryptographic algorithm NTRU. We tried the methods that proposed by the IETF for TLS 1.3 based hybrid key exchange, and as a result, it is expected that the security can be enhanced by applying the protocol proposed in this paper to the existing financial transaction session protection solution.

• Journal of Korean Society of Archives and Records Management
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• v.24 no.2
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• pp.65-88
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• 2024

This pilot study explores a method of extracting metadata values and descriptions from records using named entity recognition (NER), a technique in natural language processing (NLP), a subfield of artificial intelligence. The study focuses on handwritten records from the Guro Industrial Complex, produced during the 1960s and 1970s, comprising approximately 1,200 pages and 80,000 words. After the preprocessing process of the records, which included digitization, the study employed a publicly available language API based on Google's Bidirectional Encoder Representations from Transformers (BERT) language model to recognize entity names within the text. As a result, 173 names of people and 314 of organizations and institutions were extracted from the Guro Industrial Complex's past records. These extracted entities are expected to serve as direct search terms for accessing the contents of the records. Furthermore, the study identified challenges that arose when applying the theoretical methodology of NLP to real-world records consisting of semistructured text. It also presents potential solutions and implications to consider when addressing these issues.