• The KIPS Transactions:PartC
• /
• v.18C no.3
• /
• pp.135-142
• /
• 2011

Recently, the strategy for N-screen service is in the spotlight along with the consumer's need to use contents regardless of time and place due to the rapid development of communication technology, which is meshing with the desire of service providers seeking a new business model. N-screen, as a screen-extension-concept service which enables consumers to continuously share and use contents in various equipments such as TV, computer and portable terminals, is an advanced type of 3-screen service strategy initially proposed by AT&T, an American telecommunication company. In the N-screen service for pay-contents, in order to support continuous screen changes to and from various equipments, temporary watching right should be given to the equipment intended for screen change. However, it is impossible to give the temporary watching right in the present broadcasting environment, adopting an access-control system. In this paper, the access-control technology being used for pay-contents in the present broadcasting environment and the reason for not being able to give temporary watching right, will be examined. After the examination, the solution for delegation of watching right by using an additional key on the basis of currently used access-control technology, will be proposed.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
• /
• v.12 no.3
• /
• pp.191-202
• /
• 2017

KONEX (Korea New Exchange) is the organised stock exchange for small enterprises. It is a channel through which venture start-ups at their early stage can raise funds without a huge burden of debt. We explain the regulations in this market and examine the effects of major changes in the relevant regulations. The first change was replacing the call auction mechanism with the continuous auction mechanism. The change improved the information asymmetry among investors. The second was lowering the minimum deposit requirement for individual investors from 300 million won to 100 million won. As the result of the change, market liquidity increased a lot and the number of investors increased. The last change was introducing the small investment account. Although this raised the participation of individual investors but did not lead to the improvement in market liquidity or information asymmetry. In overall, encouraging more investors to participate in the transactions in KONEX is the fast way to boost the market, while the long-term strategy should focus more on improving the information asymmetry by helping information generating and transferring activities.

• KIPS Transactions on Software and Data Engineering
• /
• v.6 no.11
• /
• pp.527-536
• /
• 2017

With the recent development of smart grid industry, the necessity for efficient EMS(Energy Management System) has been increased. In particular, in order to reduce electric load and energy cost, sophisticated electric load forecasting and efficient smart grid operation strategy are required. In this paper, for more accurate electric load forecasting, we extend the data collected at demand time into high time resolution and construct an artificial neural network-based forecasting model appropriate for the high time resolution data. Furthermore, to improve the accuracy of electric load forecasting, time series data of sequence form are transformed into continuous data of two-dimensional space to solve that problem that machine learning methods cannot reflect the periodicity of time series data. In addition, to consider external factors such as temperature and humidity in accordance with the time resolution, we estimate their value at the time resolution using linear interpolation method. Finally, we apply the PCA(Principal Component Analysis) algorithm to the feature vector composed of external factors to remove data which have little correlation with the power data. Finally, we perform the evaluation of our model through 5-fold cross-validation. The results show that forecasting based on higher time resolution improve the accuracy and the best error rate of 3.71% was achieved at the 3-min resolution.