• Ecology and Resilient Infrastructure
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• v.11 no.4
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• pp.165-176
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• 2024

Ecosystem monitoring has traditionally been performed by recording species and environmental data on paper, which is later digitized for analysis. However, this approach is inefficient due to challenges in spatial data collection, input errors, and the time required for analysis preparation. This study proposes an integrated framework using open-source software (QGIS, QField, PostgreSQL/PostGIS, and R Shiny) to efficiently collect, store, and analyze data. This framework collects spatial and species information in the field through a mobile GIS collector QField, based on a GIS project file generated by QGIS according to the sampling design, and stores it in a relational database PostgreSQL/PostGIS in real time. Additionally, data is analyzed and visualized in real time using an R Shiny package, allowing immediate access to results. This approach improves data accuracy, saves time, and reduces costs compared to traditional methods, establishing a foundation for researchers to promptly utilize the data.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2003.09a
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• pp.11-15
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• 2003

Amount of biological data information has been increasing exponentially. In order to cope with this bio-information explosion, it is necessary to construct a biological data information integration system. The integration system could provide useful services for bio-application developers by answering general complex queries that require accessing information from heterogeneous bio data sources, and easily accommodate a new database into the integrated systems. In this paper, we analyze architectures and mechanisms of existing integration systems with their advantages and disadvantages. Based on this analysis and user requirement studies, we propose an integration system framework that embraces advantages of the existing systems. More specifically, we propose an integration system architecture composed of a mediator and wrappers, which can offer a service interface layer for various other applications as well as independent biologists, thus playing the role of database management system for biology applications. In other words, the system can help abstract the heterogeneous information structures and formats from the application layer. In the system, the wrappers send database-specific queries and report the result to the mediator using XML. The proposed system could facilitate in silico knowledge discovery by allowing combination of numerous discrete biological information databases.

• International Journal of Computer Science & Network Security
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• v.24 no.11
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• pp.21-34
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• 2024

As social media platforms continue to gain popularity, there is increasing interest in understanding how online interactions affect users' mental health and overall well-being. This study takes a novel approach by collecting and analyzing social media data to assess mental health comprehensively. By utilizing data from various platforms, we employed thorough analytical techniques to gain valuable insights into users' mental states. The study addresses the crucial issue of the impact of social media on mental health and well-being by providing a detailed dataset and analytical framework for future research and intervention development. Our findings reveal significant correlations between social media activity patterns, sentiment analysis, and self-reported mental health indicators. We demonstrate the potential of using online discussions for early mental health intervention and monitoring. This research not only advances the field of mental health assessment but also offers practical implications for mental health professionals, policymakers, and developers of social media platforms in enhancing online mental health support. By highlighting the effectiveness of data-driven approaches, this study reveals innovative ways to improve mental health and well-being assessments in the digital age.

• Journal of KIISE:Software and Applications
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• v.35 no.7
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• pp.431-441
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• 2008

The academic information analysis service is including automatic recommendation of reviewers and analysis of researchers' accomplishments. The service of recommendation of reviewers should be processed in a transparent, fair and accountable way. When selecting reviewers, the following information must be considered: subject of project, reviewer's maj or, expertness of reviewer, relationship between applicant and reviewer. The analysis service of researchers' accomplishments is providing statistic information of researcher, institution and location based on accomplishments including book, article, patent, report and work of art. In order to support these services, we designed ontology for academic information, converted legacy data to RDF triples, expanded knowledge appropriate to services using OntoFrame. OntoFrame is service framework which includes ontology, reasoning engine, triple store. In our study, we propose the design methodology of ontology and service system for academic information based on OntoFrame. And then we explain the components of service system, processing steps of automatic recommendation of reviewers and analysis of researchers' accomplishments.

• Journal of the Korean Society for Library and Information Science
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• v.57 no.2
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• pp.97-122
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• 2023

Metaliteracy is a new framework that reframes information literacy. Metaliteracy is distinguished from information literacy through the intruduction of postmodernism, social constructivism and metacognition. However it has been not examined whether metaliteracy studies reflect the conceptual differences. Therefore, The purpose of the study is to observe research trends of metaliteracy on the difference from information literacy. In the study, literature reviews were conducted, and frequency analysis and knowledge network analysis(co-occurrence and bibliographic coupling) were conducted for 80 metaliteracy studies. The results of the study are as follows. As a result of co-occurrence analysis, metacognition(frequency 1st) and skills(degree centrality 1st, closeness centrality 1st, betweenness centrality 1st) appeared. Since metaliteracy criticizes skill-based information literacy, the result suggests that the concepts of information literacy and metaliteracy are mixed. On the other hand, as a result of bibliographic coupling analysis, studies with high bibliographic coupling explain the difference between information literacy and metaliteracy through metacognition.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.24 no.2
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• pp.397-409
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• 2014

According to the Personal Information Protection Act(PIPA) which is legislated in March 2011, the individual or company that handles personal information, called Personal information processor, should encrypt some kinds of personal information kept in his Database. For convenience sake we call it DB Encryption in this paper. Law enforcement and the implementation agency accordingly are being strengthen the supervision that the status of DB Encryption is being properly applied and implemented as the PIPA. However, the process of DB Encryption is very complicate and difficult as well as there are many factors to consider in reality. For example, there are so many considerations and requirements in the process of DB Encryption like pre-analysis and design, real application and test, etc.. And also there are surely points to be considered in related system components, business process and time and costs. Like this, although there are plenty of factors significantly associated with DB Encryption, yet more concrete and realistic validation entry seems somewhat lacking. In this paper, we propose a realistic DB Encryption Assurance Framework that it is acceptable and resonable in the performance of the PIPA duty (the aspect of the individual or company) and standard direction of inspection and verification of DB Encryption (the aspect of law enforcement).

• Asian Journal of Innovation and Policy
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• v.2 no.1
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• pp.63-96
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• 2013

There is the need for performance evaluation and the identification of key success factors for utilizing technology roadmaps (TRM), but relevant research does not yet exists in this field. In Korea, the Small and Medium Business Administration has implemented the "Support Program for the Individual Company Technology Roadmaps" to promote the establishment of technology development strategies by SMEs. This study developed the framework and indices for performance analysis, designed and implemented survey for TRM performance analysis, and analyzed TRM performance of the companies that have participated in the above program from 2008 to 2011. This study compared the supported 97 companies and 102 companies not supported and analyzed quantitative and qualitative performance and satisfaction levels among the supported companies to compare low-performance companies and high-performance companies. This study aims to examine the KSF of TRM in terms of input and process. Also we suggested significant insights into the performance of TRM in terms of output.

• Journal of Information Processing Systems
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• v.15 no.5
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• pp.1096-1107
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• 2019

In this paper, we present an ontology-based approach to labeling influential topics of scientific articles. First, to look for influential topics from scientific article, topic modeling is performed, and then social network analysis is applied to the selected topic models. Abstracts of research papers related to data mining published over the 20 years from 1995 to 2015 are collected and analyzed in this research. Second, to interpret and to explain selected influential topics, the UniDM ontology is constructed from Wikipedia and serves as concept hierarchies of topic models. Our experimental results show that the subjects of data management and queries are identified in the most interrelated topic among other topics, which is followed by that of recommender systems and text mining. Also, the subjects of recommender systems and context-aware systems belong to the most influential topic, and the subject of k-nearest neighbor classifier belongs to the closest topic to other topics. The proposed framework provides a general model for interpreting topics in topic models, which plays an important role in overcoming ambiguous and arbitrary interpretation of topics in topic modeling.

• Asia pacific journal of information systems
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• v.7 no.2
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• pp.137-162
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• 1997

The recent fast change of information technology and business environments has led to increasing effort to achieve the business goals by using company resources effectively and efficiently Strategic Information Systems Planning is the first and significant step support the objectives. However, the present situation is that the SISP works are performed only by the methodological process of some chosen consulting house without a full considerations of organizational environment and system development characteristics. So, this study's purpose is to improve SISP works by observing the organizational environment factors through planning cases. This paper is composed of investigating the organizational characteristics and the additional problems from the analysis of three cases on the basis of 12 organization context factors founded by previous studies. And the conclusive part presents the organizational considerations according to each planning steps. This works will be used framework of SISP on the contrary previous studies only found organizational factors related to SISP works by questionary research methods. The more fundermental and multi-dimentioned researches is to be expected as more enterprises perform SISP works.

• Agribusiness and Information Management
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• v.8 no.1
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• pp.11-16
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• 2016

This paper presents how Digital Knowledge Ecosystem such as "Govi Nena" (translates as agriculture intelligence) can be used to provide a more effective and practical solution to eliminate the inefficiencies in agricultural markets and achieve higher productivity and price stability. In order to establish the framework to analyze the system, this paper uses a set of hypothetical scenarios faced by value chain actors based on a review of the literature, established knowledge and recent developing country experiences. The scenario analysis reveals that "Govi Nena" enables farmers to make effective production decisions, deepens the level of value chain integration, and enhances the level of welfare for the society as a whole.