• Journal of IKEEE
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• v.23 no.3
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• pp.852-857
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• 2019

In order to manage the demand resources of project participants and to provide appropriate strategies in the virtual power plant's power trading platform for consumers or operators who want to participate in the distributed resource collective trading market, it is very important to forecast the next day's demand of individual participants and the overall system's electricity demand. This paper developed a power demand forecasting model for the next day. For the model, we used LSTM algorithm of deep learning technique in consideration of time series characteristics of power demand forecasting data, and new scheme is applied by applying one-hot encoding method to input/output values such as power demand. In the performance evaluation for comparing the general DNN with our LSTM forecasting model, both model showed 4.50 and 1.89 of root mean square error, respectively, and our LSTM model showed high prediction accuracy.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.18 no.6
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• pp.117-132
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• 2023

With the recent spread of COVID-19, the size of the online shopping market continues to increase, and various online platforms are appearing in the market, and many small and medium businesses are entering the platform. As the recent increase in the use of the platform by small andmedium businesses as raised the issue of appropriate platform fees, the need for social discussions on the use of the platform and fees is raised. Currently, most discussions regarding fees primarily focus on specific cases from a negative perspective, and discussions that comprehensively consider the platform's utilization value and fees are insufficient. Therefore, this study aims to systematically and comprehensively understand platform fees by considering the value of using platform services and commission costs together. To achieve this, the economic value of each platform service was estimated and analyzed in detail. It selected two industries that are actively using online platforms, delivery services and e-commerce, and paid attention to changes in expected profits generated by sellers using platform services, and compared and analyzed expected profits based on estimated sales and costs for each scenario, such as whether sellers entered the platform and whether they used the service. As a result of the study, our results that entering the platform and using the platform service enable sales increase and cost reduction, which have a positive effect on the seller's expected profit. Through this study, we intend to understand platform fees from the perspective of user fees for platform service use and value acquisition, and based on this, estimate the economic value of platform services and fees to expand the value and cost of using platform services to a comprehensive and systematic discussion.

• The Journal of Society for e-Business Studies
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• v.26 no.1
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• pp.43-65
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• 2021

With the advancement of information and communications technology, a means to recruit IT professional has fundamentally changed. Nowadays recruiters search for candidate information from the Web as well as traditional information sources such as résumés or interviews. Particularly, open-source software development (OSSD) platforms have become an opportunity for developers to demonstrate their IT capabilities, making it a way for recruiters to find the right candidates, whom they need. Therefore, this study aims to investigate the impact developers' profiles in an OSSD platform on their finding a job. This study examined four antecedents of developer information that can accelerate their job search: job-seeking status, personal-information posting, learning activities and knowledge contribution activities. For the empirical analysis, we developed a Web crawler and gathered a dataset on 4,005 developers from GitHub, which is a well-known OSSD platform. Proportional hazards regression was used for data analysis because shorter job-seeking period implies more successful result of job change. Our results indicate that developers, who explicitly posted their job-seeking status, had shorter job-seeking periods than those who did not. The other antecedents (i.e., personal-information posting, learning, and knowledge contribution activities) also contributed in reducing the job-seeking period. These findings imply values of OSSD platforms for recruiters to find proper candidates and for developers to successfully find a job.

• Journal of Digital Convergence
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• v.14 no.1
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• pp.211-217
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• 2016

There have been gradually established paid using system on contents, such as sound source, webtoon etc, with which licences are systematically managed. However, rampant free sites still mostly relying on advertising revenue make difficulties on lots of contents developers and obstruct the protection of their resonable right. In this situation, we need systematic measures to protect copyright of authors and to maximize use of contents of users. Therefore, it is important to handle the convenience of digital contents distribution and the diversity of contents license(differentiating permission rate according to user's purpose, scope, service period etc), based on the need of contents users. This paper implies to guideline to install contents distribution platform of individuals and to apprehend the need and acceptability of users in order to activate digital contents transaction on individuals.

• Journal of Convergence for Information Technology
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• v.10 no.1
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• pp.13-21
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• 2020

Due to the dramatic improvement of Internet technologies and digital content authoring, many independent media creators produce various digital items and share them with others. In this situation, the independent media platforms must support the well-defined usage rights(licenses) specification, usage monitoring, and license trading trace for enabling complex types for selling, buying, using and reproducing digital items created by independent media creators. In this paper, we design an extended policy model based on the ODRL policy class model and implement a user interface prototype to specify multi types of usage rights like use, own, share, and cede. Our proposed model can be referenced to create license management modules of the independent media platforms.

• Proceedings of the KIEE Conference
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• 2005.07d
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• pp.2912-2914
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• 2005

본 논문에서는 방송, 멀티미디어, 통신 및 가전제어가 가능하고 디지털 아이템의 양방향 거래가 가능한 디지털 컨버젼스 플랫폼을 임베디드 기술을 이용하여 구현하였다. 단말인 SDMP(Software Defined Media Platform)는 디지털 방송과 고화질의 비디오와 오디오를 처리하기 위한 하드웨어 구조를 갖고, 이를 바탕으로 다양한 형태의 코덱 지원 및 여러 가지 서비스를 지원하기 위한 유연 플랫폼 소프트웨어 기술을 이용하여 구현하였다. 디지털 컨버젼스 하드웨어는 RISC CPU와 DSP를 이용하여 임베디드 OS상에서 방송, 통신 및 멀티미디어 서비스를 지원한다. 또한 디지털 컨버젼스 하드웨어는 고성능 DSP를 MPU로 하여 다채널의 입출력 가능한 오디오 코더 및 HD 급 화질 비디오 입출력 처리가 가능하도록 설계한다. 디지털 컨버젼스 소프트웨어는 MEFG-21에 기반한 유연 플랫폼 소프트웨어를 임베디드 Linux 상에서 다양한 서비스 모델을 수용할 수 있는 상위 어플리케이션으로 구현하였다. 이는 네트워크를 통한 멀티미디어를 스트리밍 할 수 있으며, 단순한 재생기의 기능을 넘어서 컨텐츠 제작이 가능하고 능동적인 개념의 다기능 소프트웨어로 컨텐츠를 서로 다른 네트워크 간 혹은 단말 간의 통신이 가능하게 하였다.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.11 no.1
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• pp.100-106
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• 2018

Since the concept of virtual currency called Bitcoin was announced in 2008, the blockchain technology, which is the basis of Bitcoin, is attracting attention as an important platform technology in the era of the 4th industrial revolution that can change our society in the future. Although Existing electronic financial transactions store and manage all transaction history at a reliable central organization such as government and bank, blockchain-based electronic financial transactions are composed of a distributed structure in which all participants participating in the transaction store and manage the transaction history, it is possible to secure transaction transparency while reducing system construction and operation costs. Besides the virtual currency that started with bit coins, the technology of these blockchains has been extended in various fields such as smart contracts and document management. The key technology area of this blockchain is security based on proven cryptographic technology to make it difficult to forge and hack, but there are security risks such as security vulnerabilities in the virtual currency trading service, We will discuss security risks in using virtual currency and discuss countermeasures. Especially security accidents of virtual currency exchanges are occurring frequently recently, the damage of users who trade the virtual currency is also increasing, we propose security threats and security countermeasures against virtual currency exchanges.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.11 no.1
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• pp.45-53
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• 2018

The proliferation of distributed power sources such as renewable energy sources drives the changes of consumers to prosumers who actively want to deal with energy. The prosumer is a new type of consumer that can sell surplus energy or additionally generated energy to electric power companies, other energy service providers, or other consumers. To implement such a concept, a new technology and platform that can support the transaction of the prosumers are required. However, the study in the area is limited since it is in the early stage. This work examines the state-of-the-art transaction-based energy management technology through comparative analysis of representative technologies to show the future trends. Although, technologies and standards for transaction based energy are not much matured yet. related new research will be continued via competitions.

• Journal of the Korea Society of Computer and Information
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• v.27 no.3
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• pp.173-182
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• 2022

In this paper, we propose a machine learning model that can prevent fraudulent transactions in advance and interpret them using the XAI approach. For the experiment, we collected a real data set of 12,258 mobile phone sales posts from Joonggonara, a major domestic online C2C resale trading platform. Characteristics of the text corresponding to the post body were extracted using Doc2vec, dimensionality was reduced through PCA, and various derived variables were created based on previous research. To mitigate the data imbalance problem in the preprocessing stage, a complex sampling method that combines oversampling and undersampling was applied. Then, various machine learning models were built to detect fraudulent postings. As a result of the analysis, LightGBM showed the best performance compared to other machine learning models. And as a result of SHAP, if the price is unreasonably low compared to the market price and if there is no indication of the transaction area, there was a high probability that it was a fraudulent post. Also, high price, no safe transaction, the more the courier transaction, and the higher the ratio of 0 in the price also led to fraud.

• Smart Media Journal
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• v.9 no.1
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• pp.60-66
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• 2020

In this paper, the FIDO (Fast IDentity Online) transaction certification platform was proposed for applying the DID (Decentralized ID) of blockchain with home shopping channels to the IPTV service providers based on the Remocon (Remote Control). In this case, the DID based smart remocon applies biometric identification techniques for personal identification. These individual DID smart remote controls apply distributed ID blockchain, enabling home shopping viewers to conduct reliable ratings surveys through the detection of channel changed information. In addition, this smart remocon utilizes the product purchased information history on home shopping channels, allowing IPTV's home shopping viewers to compare the same broadcasted production information on all channels by blockchain technique and their production characteristics. IPTV service providers can process home shopping order/authorization informations in one-stop service via a number of home shopping broadcasting companies, and DID smart remote controls for home shopping viewers with the checking results of their real-time online access to confirm the FIDO2.0 transaction certification homepage. Thus, the FIDO transaction authentication platforms of IPTV service provider(Telecommunication company) can be expected to improve the benefits of home shopping customers, and to reduce the broadcasting companies' burden of payment, too.