• Journal of the Korea Convergence Society
• /
• v.10 no.12
• /
• pp.53-61
• /
• 2019

The risk of project failure has increased recently as ERP systems have been transformed into Web environments and task complexity has increased. Although low-code platform development tools are being used as a way to solve this problem, limitations exist as they are centered on UI. To overcome this, back-end development tools are required that can be developed quickly and easily, not only from the front development but also from a variety of development sources produced from the ERP development process, including back-end business services. In addition, the development tools included within existing ERP products require a lot of learning time from the perspective of beginner and intermediate developers due to high entry barriers. To address these shortcomings, this paper seeks to study ways to overcome the limitations of existing development tools within the ERP by providing customized development tool functions by enhancing the usability of ERP development tools suitable for each developer's skills and roles based on the requirements required by ERP development tools, such as reducing the time required for querying, automatic binding of data for testing for service-based units, and checking of source code quality.

• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.20 no.2
• /
• pp.13-20
• /
• 2020

One of the major issues surrounding big data is the availability of massive time-based or telemetry data. Now, the appearance of low cost capture and storage devices has become possible to get very detailed time data to be used for further analysis. Thus, we can use these time data to get more knowledge about the underlying system or to predict future events with higher accuracy. In particular, it is very important to define custom tailored contract offers for many households and businesses having smart meter records and predict the future electricity usage to protect the electricity companies from power shortage or power surplus. It is required to identify a few groups with common electricity behavior to make it worth the creation of customized contract offers. This study suggests big data transformation as a side effect and clustering technique to understand the electricity usage pattern by using the open data related to smart meter and KNIME which is an open source platform for data analytics, providing a user-friendly graphical workbench for the entire analysis process. While the big data components are not open source, they are also available for a trial if required. After importing, cleaning and transforming the smart meter big data, it is possible to interpret each meter data in terms of electricity usage behavior through a dynamic time warping method.

• Journal of the Korea Society of Computer and Information
• /
• v.15 no.11
• /
• pp.91-99
• /
• 2010

Recently, recognizing user resource for personalized service has been needed in digital content service fields. Especially, to analyze user taste, recommend music and service music related information need recognition of user music file in case of online music service. Music related information service is offered through recognizing user music based on tag information. Recognition error has grown by weak points like changing and removing of tag information. Techniques of content based user music recognition with music signal itself are researched for solving upper problems. In this paper, we propose user music recognition on the internet by extracted feature from music signal. Features are extracted after suitable preprocessing for structure of content based user music recognition. Recognizing on music server consist of feature form are progressed with extracted feature. Through this, user music can be recognized independently of tag data. 600 music was collected and converted to each 5 music qualities for proving of proposed recognition. Converted 3000 experiment music on this method is used for recognition experiment on music server including 300,000 music. Average of recognition ratio was 85%. Weak points of tag based music recognition were overcome through proposed content based music recognition. Recognition performance of proposed method show a possibility that can be adapt to online music service in practice.

• Korean Journal of Social Welfare
• /
• v.67 no.4
• /
• pp.251-277
• /
• 2015

This qualitative study is designed for the reconstruction of the experience of single mothers in poverty based on the bottom-up approach. Welfare dependency is identified as vital help to protect their own and children's lives, through their stories telling that welfare services provided by government and community take care of them "in place of their husbands", and "raise them up by hand." What is self-sufficiency to them is more of a process-orientation through welfare dependency than a state out of it, and a way to look through building their self-esteem and working to discover their self-worth except their economic power. Restoring their potential to self-sufficiency through dealing with their psycho-social stresses and expanding services for them related to child-care(education) and occupation ability development for long-term self-sufficiency, rather than hasty focusing on welfare exit, should be built on the foundation of helping them self-sufficient. In order for the self-sufficiency program to overcome the participant's images of "subordination and stigma" and to convey the original meaning of "welfare to work", the performance and evaluation system of self-sufficiency programs that reflects the insider's perspectives on their participation motive and process, and the self-sufficiency program customized for their needs and interests should be encouraged to develop.

• Journal of Broadcast Engineering
• /
• v.25 no.4
• /
• pp.560-568
• /
• 2020

In recent years, as network technology develops, the usage of streaming services by users is increasing. However, the complexity of streaming services is also increasing due to various terminal environments. Even when streaming the same content, it is necessary to re-encode the content according to the type of service. In order to solve the complexity and latency of the streaming service, Moving Picture Experts Group (MPEG) has standardized the Common Media Application Format (CMAF). In addition, as content transmission using a communication network becomes possible, the Republic of Korea's Ultra High Definition (UHD) broadcasting standard has been enacted as a hybrid standard using a broadcasting network and a communication network. The hybrid service enables various services such as transmitting additional information of contents or providing user-customized contents through a communication network. The Republic of Korea's UHD transmission standard utilizes MPEG Media Transport (MMT), and Mobile MMT is an extension of MMT to provide mobile network-specific functions. This paper proposes a method of inserting CMAF contents suitable for various streaming services using signaling messages of MMT and Mobile MMT. In addition, this paper proposes a model for content insertion system in heterogeneous network environment using broadcasting and communication networks, and verifies the validity of the proposed technology by checking the result of content insertion.

• KIPS Transactions on Software and Data Engineering
• /
• v.6 no.11
• /
• pp.537-542
• /
• 2017

Aggressive driving is a major cause of car accidents. Previous studies have mainly analyzed young driver's aggressive driving tendency, yet they were only done through pure clustering or classification technique of machine learning. However, since elderly people have different driving habits due to their fragile physical conditions, it is necessary to develop a new method such as enhancing the characteristics of driving data to properly analyze aggressive driving of elderly drivers. In this study, acceleration data collected from a smartphone of a driving vehicle is analyzed by a newly proposed ECA(Enhanced Clustering method for Acceleration data) technique, coupled with a conventional clustering technique (K-means Clustering, Expectation-maximization algorithm). ECA selects high-intensity data among the data of the cluster group detected through K-means and EM in all of the subjects' data and models the characteristic data through the scaled value. Using this method, the aggressive driving data of all youth and elderly experiment participants were collected, unlike the pure clustering method. We further found that the K-means clustering has higher detection efficiency than EM method. Also, the results of K-means clustering demonstrate that a young driver has a driving strength 1.29 times higher than that of an elderly driver. In conclusion, the proposed method of our research is able to detect aggressive driving maneuvers from data of the elderly having low operating intensity. The proposed method is able to construct a customized safe driving system for the elderly driver. In the future, it will be possible to detect abnormal driving conditions and to use the collected data for early warning to drivers.

• Journal of the Korean Association of Geographic Information Studies
• /
• v.13 no.3
• /
• pp.14-28
• /
• 2010

The aim of this study is to investigate crime hotspot areas using the spatio-temporal cluster analysis which is possible to search simultaneously time range as well as space range as an alternative method of existing hotspot analysis only identifying crime occurrence distribution patterns in urban area. As for research method, first, crime data were collected from criminal registers provided by official police authority in M city, Gyeongnam and crime occurrence patterns were drafted on a map by using Geographic Information Systems(GIS). Second, by utilizing Ripley K-function and Space-Time Scan Statistics analysis, the spatio-temporal distribution of crime was examined. The results showed that the risk of crime was significantly clustered at relatively few places and the spatio-temporal clustered areas of crime were different from those predicted by existing spatial hotspot analysis such as kernel density analysis and k-means clustering analysis. Finally, it is expected that the results of this study can be not only utilized as a valuable reference data for establishing urban planning and crime prevention through environmental design(CPTED), but also made available for the allocation of police resources and the improvement of public security services.

• Journal of the Korean Society for Marine Environment & Energy
• /
• v.19 no.2
• /
• pp.165-171
• /
• 2016

In this study, the characterization of projects and analysis of R&D products and commercialization performances were done to serve some implications on the policy decisions related to the commercialization of R&D in marine and fisheries sector. A total of 212 R&D projects with 144 ones for marine and 68 for fisheries performed for 5 years, from 2010 to 2014, were sorted and analyzed on the respect of government budget, main performing body, and research period. The R&D result and commercialization performance were substituted to quantitative indicators, such as the number of published papers, the number of patents, the amount of the technology royalty, the number of technology transfers, and the improvement of public service, which were subjects to be analysed. Based on the results, this study suggests the policy implications for the success of national R&D program; 1) diversifying the main performing body, 2) operating the system for sharing research infrastructures among researchers, 3) introducing the adaptable R&D program management, 4) expending the portion of grants without detailed requests for proposal, and 5) leaning the investigation of R&D budgets on projects focusing on the practicalization and commercialization.

• Journal of Digital Convergence
• /
• v.16 no.10
• /
• pp.101-113
• /
• 2018

This study aims to elucidate the major issues and problems of the North Korean woman defectors focusing on the Community settlement system of Korean society in the time of the historical change of the rapidly changing inter - Korean relations starting from the recent summit talks between North and South Korea. Analytical methods were conducted using literature and previous research data. The results of this study are summarized as follows. The necessity of legal and institutional support reflecting the characteristics of life of North Korean woman defectors and experience of defecting, the necessity of development and management of employment education and employment support program for stable settlement support, the necessity of an integrated support system of public - private cooperation governance structure The need for a tailored social adaptation program tailored to individual needs arises. The results of this study are important to suggest the direction of improvement of the actual system through studying the policy and system of the settlement of Korean society in advance of the unification era. In future research, the support system for the settlement of the South Korean society A variety of studies to identify the factors for role formation will be needed.

• International Commerce and Information Review
• /
• v.14 no.2
• /
• pp.411-443
• /
• 2012

The Changes in management environment in SMEs such as rapid development of information communication technology, worldwide expansion of FTAs, enlargement of global outsourcing, etc have changed various aspects in industry-academy or industry-academy-government cooperation. It has been away from the cooperation focused on research and development and industrial training, and advanced to the cooperation focused on the business fields and practices where the executive ability and professionalism are required to commercialize major products of local SMEs. Compared with the existing model, the new model of industry-academy-government cooperation can provide effective and customized supports to local SMEs and expect better performance than ever before through the choice and focus. However, the existing support programs of government and related organizations are just top-down pattern to SMEs. In addition to the development of industrial technology, education and training for labor force and knowledge interchange between industry and university, the new cooperation model would also provide practical tasks such as enhancement of business competences and abilities to cultivate foreign markets. This study deals with Gyeongbuk PRIDE Products support project that is the new model of industry-academy-government cooperation and evaluates the effectiveness of this support project by empirically analyzing the survey results from the target SMEs.