MyungNam Bae

Cloud-based building management systems using short-term cooling load forecasting

In this paper, we propose a novel cloud-based building management system (BMS) architecture for a short-term cooling load forecasting mechanism to manage the building cooling system (BCS) and reduce the cost of BCS construction and maintenance. The BCS is very important to economize on air conditioning since a huge amount of energy is consumed by the cooling system of buildings in summer time and some recent work has attempted to manage the BCS using short-term cooling load forecasting. In order to have accurate forecasts, however, excellent computing systems are necessary to predict and control the BCS based on a huge amount of past energy consumption data with rapid processing speed. Hence, in the proposed architecture, we use centralized computing resources and storages to predict and control the BCS. Furthermore, we propose a model with short-term cooling load forecasting and semantic analysis system that uses data mining techniques to improve the forecasting accuracy. Through our performance results, the proposed forecasting model outperforms another scheme in terms of the forecasting accuracy to control the BCS and it is expected that the cost of the BCS maintenance will be greatly reduced with the cloud-based BMS architecture.

A conceptual device-rank based resource sharing and collaboration of smart things

Lately, inspired by Internet of Things (IoT), the era of connected everything is coming. But still, things hardly show the manner to share resources on it and self-configuration method to compose collaboration of smart things. Moreover, it is not easy to harmonize things of related action with added or removed devices to aid process being conducted by human or services of applications. In this paper, we propose a concept for supporting a collaboration augmentation of devices used in the IoT. The Device-Rank for the augmenting collaboration of things proposed in this paper is a technology used to rate IoT things based on diverse elements such as the frequency with which users use individual things, the distances to users or service objects, the network QoS, the performance of the things, and their operation histories, such that the resultant information can be used by a cloud-based platform or device itself to calculate the Device-Rank information. This Device-Rank is expected to be accumulated and updated by things or a platform, and exchanged between things such that things can more actively collaborate with other things or services and augment the Device-Rank with the passing of time.

Design of a description language for generating wrapper to collect biological data

The biological data are scattered in various areas with various formats and they are changing continuously. Therefore, data integration becomes an important issue to provide researcher a dynamic access of data. In the data integration process, the method of extracting heterogeneous data dynamically from the data source is an essential part. Data extraction method using wrapper can provide flexibility and extensibility to an integration system.