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Many researchers jointly participate in various research topics of national R&D programs, and they achieve accomplishments such as journal papers and patents as the outcome of these programs. The government administration and research administering institutes also do their part in the advancement of national science and technology by strategically distributing R&D programs to researchers, reviewing research outcomes, and setting up investment policies accordingly. Policymakers including government administrations that distribute and manage R&D finance are interested in understanding that the key players are in a given field, how the research clusters are formed, and how the research funding is distributed. Researchers are interested to look at what other researchers are doing and who their potential collaborators are This study proposes a method to provide information wanted by both policymakers and researchers. Based on the proposed method, it builds a knowledge map using the NTIS data to analyze research behavior and statistics of various research topics.

Emerging technology drives technological development and innovation in diverse fields of technology. Emerging technology forecasting can predict the possible areas of emerging technology. However, it is difficult to forecast the emerging technology because most technology forecasting tasks depend on the subjective experience of experts. Patent analysis is an objective method to recognize the trends in technological development. Many patent analysis methods have been researched; these methods apply text mining techniques to analyze the text data of patent documents such as the title and abstract. This approach has some limitations, namely the computing cost and information loss associated with the preprocessing step of text mining. Therefore, we propose a new patent information analysis to overcome these problems. Using the International Patent Classification codes from the patent documents of a target technology, we construct an emerging technology forecasting model. This research combines statistical inference and neural networks to construct our model for new patent information analysis. We perform a case study to verify how our research can be practically applied, using nanotechnology as the target technology. Therefore, we contribute this research to R&D planning.

In this paper, we propose an in-memory distributed processing method that can rapidly process vehicle location and traffic event data using Spark Streaming. The proposed system enables to share information about surrounding vehicles, pedestrians, and traffic events in real time with drivers who use the WEVING service. In the proposed method, vehicle location and traffic event streams are indexed using the grid indexing technique according to time, and the continuous range query method is processed based on the index. Also, traffic events are grouped based on occurrence time, location, content, and road segment of the traffic event transferred in real time in order to avoid duplicated traffic events. Through experiments, we show that the proposed method is able to deduplicate similar traffic events efficiently.

Software has been a significant part of modern society for a long time. In particular, this paper is concerned with various software development process models. Software process model is a description of the sequence of activities carried out in a software engineering project, and the relative order of these activities. It represents some of the development models namely, waterfall, v-shaped, incremental, RAD, iterative spiral and agile model. Therefore, the main objective of this paper is to represent different models of software development and different aspects of each model to help the developers to select specific model at specific situation depending on customer demand.

This paper defines the various resources for developing software product line (SPL) and presents the resource versioning scheme for evolutionary SPL based system development and maintenance. For the resource versioning, we suggest the resource versioning identifiers and how to maintain the resources with the identifiers to keep consistency between software artifacts in the SPL and its derived products. In addition, the resource identifiers are simulated in the diverse SPL and product evolution scenarios. The approach has been applied to building the SPL based Home Service Robot system and its maintenance.

The growth of South Korea’s tourism industry, in turn, has led to a steady growth in the number of international visitors to South Korea (hereinafter referred to as “Korea”). When visiting Korea, foreign visitors are likely to turn to smartphones as the most convenient tool for getting the information they need. A survey by Korea Tourism Organization found that tourists usually search for the information they need on their smartphones. This study was, however, based on the assumption that it is an application (hereinafter “app”) that can provide the most extensive tourist information about Korea. Thus, the study involves analyzing currently available services while centering on the “Visit Korea” app distributed by Korea Tourism Organization, and comparing it with other apps to come up with suggestions for improvement. Integrating Bluetooth 4.0-enabled beacons with mobile apps will provide travelers with useful services, convenience, and a variety of benefits. It is also an easier and more assuring method for administrators when they identify users’ data. As for the problems associated with beacons, incremental improvements are also being made. Combining the “Visit Korea” app with beacon technology will hopefully contribute to the further growth of the Korean tourism industry.

The Life cycle for the development of traditional commercial software is well established and discussed in various texts and research papers in detail. But in case of Open Source Software (OSS) life cycle for the development is not being discussed in much detail as there is no standardized life cycle approach exists for Open Source Software (OSS) development. Different researchers and developers have proposed various life cycles for the development of OSS with respect to their own development experience, need, or application. The main focus of this paper is on reviewing and then comparing the existing Open Source Software Life Cycle (OSSLC) presented and proposed by the various researchers and practitioners. It will give a precise view that in actual what are the various development approaches are used in case of OSS and how development of open source software starts and proceeds.

The purpose of this study is to investigate the relation of the initial value and alteration rate by checking the yearly alteration process of structural relation between benchmarks of teaching-learning engagement included in the NASEL and verifying Multivariate LGM. To this end, the LGM was applied to the estimate optimum alteration model that can explain each study variable and to find longitudinal influence of variables. The main result of the study is as follows. First, when analyzing the optimum growth model of each variable, linear alteration model where both student-faculty interaction (SFI), positive and collaborative learning (PCL), teaching and learning outcomes (TLO) were found to have steadily increased with the lapse of time. Individual differences were found in the initial value and alteration rate. Second, when analyzing the relation among variables by applying Multivariate LGM, both initial value and alteration rate of positive and collaborative learning, teaching and learning outcomes were high when the initial value of student-faculty interaction was higher. Thus, these findings show that the degree of student-faculty interaction can be important basic variable of positive and collaborative learning and teaching and learning outcomes. Third, the initial value and alteration rate of teaching and learning outcomes were also significantly affected by the initial value of positive and collaborative learning and the higher degree of positive and collaborative learning affected the alteration rate of teaching and learning outcomes more significantly. Thus, the results show that the most important task for each university is to search for the proper method which can further increase interaction with student-faculty in order to maximize university students' teaching and learning outcomes.

This study is designed to suggest how to organize and manage the coursework of ‘Lifelong Education Program Development’. For this purpose, we examined the effects of developing and applying its course contents based on the theory of systems program development.

Managing and processing the large scale of data is the crucial part of the experimental high energy physics which uses a gigantic instrument in order to exploit the world’s largest particle accelerator at CERN. The WLCG has enabled the distributed computing technology, which is called the grid, and has proven its excellent performance by contributing their capability of data management and processing. In addition to the grid computing, a compact but powerful computing facility introducing the parallelism is designed. In this paper, we introduce the KIAF cluster which is designed to process large scale of data produced from the ALICE experiment at CERN LHC in parallel based on PROOF. The PROOF enables parallelism on a Linux cluster by exploiting the special characteristic of the data produced in high energy physics. Event processing performance, the number of event processed per second and the size of data processed per second, of the KIAF cluster is shown with the practical use case for the high energy physics. The performance of the KIAF shows pseudo-linearity increasing as the number of workers involved in the processing while it shows as well an evidence of the upper limitation of the scalability of PROOF cluster in terms of the performance.