• Journal of Information Technology Applications and Management
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• v.15 no.1
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• pp.21-41
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• 2008

The development of POS (Point of Sales) systems for small retailers according to their needs is considered to be important to improve their competitive advantages. However, their financial statuses hinder the adoption of the tailored POS systems. Viewing ASP as a viable solution to provide tailored POS systems for the small retailers, this study develops ASP POS service models for the small retailers. First, this study elicits ASP POS requirements of the small retailers in the following areas: merchandising, pricing, store design and display, customer service, advertising and promotion and personal selling. Then, the requirements are clustered and the clusters are analyzed based on the characteristics of the retailers. Then, ASP service models are proposed according to the needs and profiles of the retailers.

• 한국신재생에너지학회:학술대회논문집
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• 2011.11a
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• pp.140.2-140.2
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• 2011

Renewable energy(RE) systems have difficulties in operating and management due to the intermittency of the energy generation. Stochastic supply profiles of RE creates problems for mechanical and electrical design in relation to the selection of technology types and capacities of RE to be installed. This paper presents an methodology of the feasibility assessment of RE-integrated energy systems on the basis of hourly demand/supply analysis tools. Also, this paper shows the feasibility and the usefulness of GS REMA(Renewable Energy Matching Analysis) and HOMER by comparing actual energy data.

• Journal of applied mathematics & informatics
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• v.37 no.5_6
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• pp.507-519
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• 2019

The ground for this paper is to examine the generalized Stokes' first and second issues for an incompressible couple pressure liquid under isothermal conditions. Exact solutions for each problem are acquired by using the Laplace transform (LT) with respect to the time variable t and the sine Fourier transform (FT) with respect to the y-variable. Further, a comparison is given of the obtained results and the results of Devakar and Lyengar [1] and by using the four inverse Laplace transform algorithms (Stehfest's, Tzou's, Talbot, Fourier series) in the space time domain utilizing a numerical methodology. Moreover, velocity profiles are plotted and considered for various occasions and distinctive estimations of couple stress parameters. At the end, the outcomes are exhibited by graphs and in tabular forms.

• Journal of Communications and Networks
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• v.17 no.6
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• pp.568-581
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• 2015

Predicting locations of users with portable devices such as IP phones, smart-phones, iPads and iPods in public wireless local area networks (WLANs) plays a crucial role in location management and network resource allocation. Many techniques in machine learning and data mining, such as sequential pattern mining and clustering, have been widely used. However, these approaches have two deficiencies. First, because they are based on profiles of individual mobility behaviors, a sequential pattern technique may fail to predict new users or users with movement on novel paths. Second, using similar mobility behaviors in a cluster for predicting the movement of users may cause significant degradation in accuracy owing to indistinguishable regular movement and random movement. In this paper, we propose a novel fusion technique that utilizes mobility rules discovered from multiple similar users by combining clustering and sequential pattern mining. The proposed technique with two algorithms, named the clustering-based-sequential-pattern-mining (CSPM) and sequential-pattern-mining-based-clustering (SPMC), can deal with the lack of information in a personal profile and avoid some noise due to random movements by users. Experimental results show that our approach outperforms existing approaches in terms of efficiency and prediction accuracy.

• Journal of the Korea Institute of Military Science and Technology
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• v.12 no.3
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• pp.325-332
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• 2009

This study is aimed to investigate the application of DITA(Defense Information Technical stAndard) on the weapon information systems and defense management information systems in order not only to update the current DITA version 4.0, but also to develop SoS(System of systems) interoperability policy in the armed forces of Korea. For this study, 18 information systems were considered, their development products(System/Sub-system Specification, Technical architecture View, System Interoperability Test and Evaluation products) were reviewed and analysed. As a result of the investigation and analysis, it was found that the 44% of the DITA standard profiles were used for the development of the defense information systems. We conclude that DITA should be updated to be a minimal set so that all the defense information systems should be DITA-compliant. And it should be reviewed periodically to reflect the new information technology.

• Journal of Information Technology Applications and Management
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• v.29 no.6
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• pp.81-93
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• 2022

As deep learning technology in natural language and visual processing has rapidly developed, collaborative filtering-based recommendation systems using deep learning technology are being actively introduced in the recommendation field. In this study, OCF-GAN, a hybrid collaborative filtering model using GAN, was proposed to solve the one-class and cold-start problems, and its usefulness was verified through performance evaluation. OCF-GAN based on conditional GAN consists of a generator that generates a pattern similar to the actual user preference pattern and a discriminator that tries to distinguish the actual preference pattern from the generated preference pattern. When the training is completed, user preference vectors are generated based on the actual distribution of preferred items. In addition, the cold-start problem was solved by using a hybrid collaborative filtering recommendation method that additionally utilizes user and item profiles. As a result of the performance evaluation, it was found that the performance of the OCF-GAN with additional information was superior in all indicators of the Top 5 and Top 20 recommendations compared to the existing GAN-based recommender. This phenomenon was more clearly revealed in experiments with cold-start users and items.

• International Journal of Knowledge Content Development & Technology
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• v.8 no.1
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• pp.25-36
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• 2018

Research data must be testable. Science is all about verification and testing. To make data testable, tools used to produce, collect, and examine data during the research must be available. Quite often, however, these data become inaccessible once the work is over and the results being published. Hence, information and the related context must be provided on how research data are preserved and how they can be reproduced. Open Science is the international movement for making scientific research data properly accessible for research community. One of its major goals is building data repositories to foster wide dissemination of open data. The objectives of this research are to examine the features of research data, common repository platforms, and community requests for the purpose of designing functional requirements for research data repositories. To analyze the features of the research data, we use data curation profiles available from the Data Curation Center of the Purdue University, USA. For common repository platforms we examine Fedora Commons, iRODS, DataONE, Dataverse, Open Science Data Cloud (OSDC), and Figshare. We also analyze the requests from research community. To design a technical solution that would meet public needs for data accessibility and sharing, we take the requirements of RDA Repository Interest Group and the requests for the DataNest Community Platform developed by the Korea Institute of Science and Technology Information (KISTI). As a result, we particularize 75 requirement items grouped into 13 categories (metadata; identifiers; authentication and permission management; data access, policy support; publication; submission/ingest/management, data configuration, location; integration, preservation and sustainability, user interface; data and product quality). We hope that functional requirements set down in this study will be of help to organizations that consider deploying or designing data repositories.

• Management & Information Systems Review
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• v.16
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• pp.1-35
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• 2005

The Virtual organization is a alternative organization for redesigning the classical organization. With the advantages of the quickness of decision making and also connection with other organization, it can be well prepared for the consumer's need. With recent increased interest in virtual organization, there are many companies that consider the virtual organization as practical use. However, it is still in an early stage of the research and the concept has not been established for the virtual organization. The purpose of this research is to systematize the understanding of the virtual organization for the future organizational model. The differences of existing organizational structure can be compared with these three reasons of practical use for the virtual organization, the development of information technology, the importance of strategic choice and unreliable environment. Also, the framework for the virtual organization can be presented with its profiles. The use of this research can be appeared by analyzing the given framework from the companies that are already made practical application of the virtual organization. For the future, this research will give the direction and its viewpoint how this will be used for achieving the competitive advantage of companies and practical use for actual aspects with the pursuit of this research.

• Food Science of Animal Resources
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• v.44 no.4
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• pp.790-804
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• 2024

This study compared the physicochemical properties of edible insect oils from silkworm (Bombyx mori) pupa (SP), sago palm weevil (Rhynchophorus ferrugineus) larva (PW), and bamboo caterpillar (Omphisa fuscidentalis; BC) to oils from chicken skin (CK), beef back fat (BF), pork back fat (PF), salmon belly (SB), sea bass belly (BB), coconut (C), and peanut (P). The fatty acid profiles and thermal behaviors (crystallization and melting) of the extracted oils were evaluated. PW and BC oils had more saturated fatty acids (SFAs) than CK, PF, SB, BB, and P oils. SP oil had equivalent SFA content to CK and BB oils. Insect oils exhibited similar monounsaturated fatty acid concentrations in all samples, except C oils. PW and BC oils exhibited a higher content of palmitoleic acid than the other oils. SP oils contained polyunsaturated fatty acids similar to those in SB and BB oils, which were higher than those in PW, BC, CK, BF, and PF oils. SP oil also exhibited the highest concentration of α-linolenic acid (C18:3 n-3). Arachidonic acid (0.01-0.02 g/100 g) in all insect oils was lower level compared to CK, BF, PF, SB, and BB oils. SP oil (0.03 g/100 g) exhibited a slightly higher level of eicosapentaenoic acid compared to PW (0.01 g/100 g) and BC (0.01 g/100 g) oils. The insect oils were liquid at ambient temperature, solid below -15℃, and required less energy (∆H_m-max) for melting than other samples. This study indicated that insects, particularly SP, could serve as an alternative source of fat to meet its growing demand.

• Journal of Ecology and Environment
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• v.48 no.1
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• pp.85-95
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• 2024

Background: In Korea, riparian zones and some floodplains have been converted into agricultural fields and urban areas. However, there are essential for maintaining biodiversity, as they are important ecological spaces. There are also very important spaces for humanity, as they perform various ecosystem services in a changing environment including climate change. Due to the importance of rivers, river restoration projects have been promoted for a long time, but their achievement has been insignificant. Development should be pursued by thoroughly evaluating the success of the restoration project. Ecological restoration is to accelerate succession, a process that a disturbed ecosystem recovers itself, with human assistance. Ecological restoration can be a test bed for testing ecological theories in the field. In this respect, ecological restoration should go beyond a 'simple landscaping exercise' and apply ecological models and theories in restoration practice. Results: The cross-section of the restored stream is far from natural rivers due to its steep slope and artificial material. The vegetation profiles of the restored streams did not reflect the flooding regime of the river. The species composition of the vegetation in the restored stream showed a significant difference from that of the reference stream, and was also different from that of an unrestored urban stream. Although species richness was high and the proportion of exotic species was low in the restored stream, the effect was offset by the high proportion of gardening and landscaping plants or obligate terrestrial plants. Conclusions: Based on both the morphological and ecological characteristics of the river, the restoration effect in the restored stream was evaluated to be very low. In order to solve the problems, a systematic adaptive management plan is urgently required. Furthermore, it is necessary to institutionalize the evaluation of restoration effects for the development of river restoration projects in the future.