• The Transactions of The Korean Institute of Electrical Engineers
• /
• v.63 no.8
• /
• pp.1111-1115
• /
• 2014

With the increasing interest of a demand side management using a Smart Grid infrastructure, the demand resources and energy usage data management becomes an important factor in energy industry. In addition, with the help of Advanced Measuring Infrastructure(AMI), energy usage data becomes a Big Data System. Therefore, it becomes difficult to store and manage the demand resources big data using a traditional relational database management system. Furthermore, not many researches have been done to analyze the big energy data collected using AMI. In this paper, we are proposing a Hadoop based Big Data system to manage the demand resources energy data and we will also show how the demand side management systems can be used to improve energy efficiency.

• Asia-Pacific Journal of Business
• /
• v.15 no.3
• /
• pp.101-120
• /
• 2024

Purpose - The purpose of this study was to examine the influencing factors on the revisit intention of unmanned convenience stores for Chinese consumers who use unmanned convenience stores. The effect of unmanned convenience store characteristics (operation system, store arrangement) on customers' perceived benefits and the effect of perceived benefits (convenience, speed, stability, playability) on revisit intention were verified. In addition, by using untact propensity as a control variable, the purpose of this study was to examine that the characteristics of unmanned convenience stores have a moderating effect on the perceived benefits of customers. Design/methodology/approach - The study collected 201 survey data from unmanned convenience stores in China. In order to analyze the data, Smart PLS was used to carry out empirical analysis. Findings - The results showed that operating systems had a positive impact on convenience, speed, and safety, while store layout had a positive impact on playfulness. Perceived benefits (convenience, safety, and playfulness) had a positive impact on their intention to revisit. Rapidity had a negative impact on the intention to revisit. Contactless tendencies regulate the effect of operating systems on convenience. Research implications or Originality - Unmanned convenience stores are striving to provide high-quality experiences to customers and increase customer satisfaction by utilizing cutting-edge IT technologies in stores such as AI, mobile device payment services, QR codes, and big data technologies. Recently, research on unmanned convenience stores has been active in the service and distribution industry-related fields, but research on the intention to revisit is insufficient. Also, few studies have used untact propensity as a control variable.

• Proceedings of the Korea Contents Association Conference
• /
• 2006.05a
• /
• pp.156-159
• /
• 2006

Self management of chronic asthma is of great importance, since the disease could lead the patient into an emergent situation. In the present study, we describe design and implementation of a personal digital assistant(PDA) based asthma management system for personal application including symptom and medication to prevent from the potential exacerbation of the disease. The software program was written by the Visual C++ tool in the mobile computing environment and Object Store was applied for data management. User friendly GUI environment was provided for the patient to input his/her daily condition and self treatment such as medication for successful management. The input screen design substituted for keyboard input to a mouse in order to easy to select an item and minimize the keyboard input. The implementation results of this system., Real-time data collection and process were possible and be able to have been carried effectively out a continuous symptom, a medication of asthma patients, risk management.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2007.06a
• /
• pp.634-637
• /
• 2007

Self management of chronic asthma is of great importance, since the disease could lead the patient into an emergent situation. In the present study, we describe implementation of a personal digital assistant(PDA) based asthma management system for personal application including symptom and medication to prevent from the potential exacerbation of the disease. The software program was written by the Visual C++ tool in the mobile computing environment and Object Store was applied for data management. User friendly GUI environment was provided for the patient to input his/her daily condition and self treatment such as medication for successful management. The input screen design substituted for keyboard input to a mouse in order to easy to select an item and minimize the keyboard input. The implementation results of this system., Real-time data collection and process were possible and be able to have been carried effectively out a continuous symptom, a medication of asthma patients, risk management.

• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.18 no.5
• /
• pp.275-281
• /
• 2018

Along with the growing market for pets and the increasing interest in pet management, the need for pet management systems is increasing. Development of IoT-related technologies has made it possible to develop the related systems. This paper implements a variety of functions through Bluetooth 4.0 and LoRa communication between devices using Arduino and Android applications depending on distances. In the paper, users can receive real-time location information through the communication between Android applications and devices attached to pets, store pet information, manage pet information, and store stroll courses more conveniently with the developed system.

• International Journal of High-Rise Buildings
• /
• v.4 no.3
• /
• pp.199-207
• /
• 2015

Abeno Harukas is the tallest building in Japan and is located in Abeno, which is one of the three main railway transport nodes in Osaka. This building has a height of 300 meters, and its lowest levels are 30 meters below ground. It contains a department store, museum, offices, a hotel, and an observatory. In this urban renewal project, a section of the department store that encloses the station was dismantled and replaced by a supertall building complex, while infrastructure was simultaneously constructed, including: upgrades to the station and the existing department store, improved connections to the subway and pedestrian bridges, and a new pedestrian walkway over the road. In this paper, the ingenious erection processes, newly developed technologies, and precise construction management techniques are introduced for Japan's tallest building.

• Proceedings of the CALSEC Conference
• /
• 2003.09a
• /
• pp.84-89
• /
• 2003

For running various construction processing information and technological information, it is supplied by Construction CALS/EC systems properly during whole facilities life cycle. So it is urgently necessary to change Regional Construction 8t Management Office (RCMO) equipment construction administration business to electron processing system (CALS/EC). From construction work plan to completion, a present storage documents system is unsystematic. Therefore, it needs management system to store documents and to read in turn documents properly. This research suggest that it is to connect with various information systems and Construction CALS/EC for RCMO which is running public construction field. So it can be driven systematic and effective administration system about public construction business by Web-based present construction situation information system.

• Journal of Korean Society of Industrial and Systems Engineering
• /
• v.35 no.1
• /
• pp.66-78
• /
• 2012

This paper proposes a computation model of the quantity supplied to optimize inventory costs for the fast fashion. The model is based on a forecasting, a store and production capacity, an assortment planning and quick response model for fast fashion retailers, respectively. It is critical to develop a standardized business process and mathematical model to respond market trends and customer requirements in the fast fashion industry. Thus, we define a product supply model that consists of forecasting, assortment plan, store capacity plan based on the visual merchandising, and production capacity plan considering quick response of the fast fashion retailers. For the forecasting, the decomposition method and multiple regression model are applied. In order to optimize inventory costs. A heuristic algorithm for the quantity supplied is designed based on the assortment plan, store capacity plan and production capacity plan. It is shown that the heuristic algorithm produces a feasible solution which outperforms the average inventory cost of a global fast fashion company.

• Proceedings of the Korean Institute of Building Construction Conference
• /
• 2018.11a
• /
• pp.55-56
• /
• 2018

In order to reduce the risk of accidents, we proposed a construction safety management system combined with wearable device and LoRa (Low-Range Wireless Network) communication method to apply the usefulness of Internet (IoT) technology which means "everything connected". to construction safety management Management system. The proposed wearable safety device is a device that relays information exchange between wearable safety device and safety management server by LoRa wireless communication method. The safety management server can store workers bio-data and perform big data analysis. If a risk factor is determined from the analysis result, a warning is sent to the wearable safety device and the manager's application. The goal of this system is to prevent construction workers from entering the dangerous area that is not suitable for work, and to prevent safety accidents caused by human cause by detecting abnormal condition during work.

• Proceedings of the Korean Operations and Management Science Society Conference
• /
• 2002.05a
• /
• pp.312-319
• /
• 2002

A recommendation system tracks past action of a group of users to make a recommendation to individual members of the group. The computer-mediated marking and commerce have grown rapidly nowadays so the concerns about various recommendation procedure are increasing. We introduce a recommendation methodology by which Korean department store suggests products and services to their customers. The suggested methodology is based on decision tree, product taxonomy, and association rule mining. Decision tree is to select target customers, who have high purchase possibility of recommended products. Product taxonomy and association rule mining are used to select proper products. The validity of our recommendation methodology is discussed with the analysis of a real Korean department store.