• Bulletin of the Korean Chemical Society
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• v.33 no.3
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• pp.855-861
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• 2012

A pioneering version of an on-line management system for high-energy molecules (MS-HEMs) was developed by the ADD and BMDRC in Korea. The current system can manage the physicochemical and explosive properties of virtual and existing HEMs. The on-line MS-HEMs consist of three main routines: management, calculation, and search. The management routine contains a user-friendly interface to store and manage molecular structures and other properties of the new HEMs. The calculation routine automatically calculates a number of compositional and topological molecular descriptors when a new HEM is stored in the MS-HEMs. Physical properties, such as the heat of formation and density, can also be calculated using group additivity methods. In addition, the calculation routine for the impact sensitivity can be used to obtain the safety nature of new HEMs. The impact sensitivity was estimated in a knowledge-based manner using in-house neural network code. The search routine enables general users to find an exact HEM and its properties by sketching a 2D chemical structure, or to retrieve HEMs and their properties by giving a range of properties. These on-line MS-HEMs are expected be powerful tool for deriving novel promising HEMs.

• International Journal of High-Rise Buildings
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• v.11 no.2
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• pp.125-135
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• 2022

While buildings in recent days become taller and larger, many problems occur during the management of construction. Particularly, as the vertical movement of manpower and materials during construction has become longer while the lifting frequency and load increase, the need for a good lifting management practice is also increasing. Therefore, this study presents a real-time lifting performance monitoring system that can store and manage lifting records for construction management. Through review of literature and preceding studies related to construction lift, the concept of lift planning and operation management was understood, leading to the development of a system to monitor lifting operation and performance information. This system enabled quick measurement of the lifting performance during construction phase while responding to changes in the project schedule. To verify this system, a case study was conducted in which the current status and characteristics of the sensing-based lifting performance were derived.

• Journal of the Korea Safety Management & Science
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• v.11 no.3
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• pp.73-78
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• 2009

In this paper, we developed the care system for older people living alone using the RFID technologies and the living informations. The care system store living informations, extracted through a unconstrained detection method by the RFID tags and readers, into a monitering server. The unconstrained detection method improved a weakness of existing systems that detected a living informations through an infrared sensor, ultrasonic sensor, camera, consumed quantity of the tap water or gas. The result of this study will playa very important role, as a part of a composite older-welfare services. Also, in the future, accumulated living informations will be allowed for a health data of older peoples.

• International journal of advanced smart convergence
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• v.13 no.3
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• pp.135-142
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• 2024

Recently, along with digital transformation, technologies such as cloud computing, big data, and artificial intelligence have been actively introduced. In a situation where these technological changes are progressing rapidly, it is often difficult to manage processes efficiently using existing simple workflow management methods. Companies providing current cloud services are adopting virtualization technologies, including virtual machines (VMs) and containers, in their distributed system infrastructure for automated application deployment. Accordingly, this paper proposes a process-based orchestration system for integrated execution of corporate process-oriented workloads by integrating the potential of big data and machine learning technologies. This system consists of four layers as components for performing workload processes. Additionally, a common information model is applied to the data to efficiently integrate and manage the various formats and uses of data generated during the process creation stage. Moreover, a standard metadata protocol is introduced to ensure smooth exchange between data. This proposed system utilizes various types of data storage to store process data, metadata, and analysis models. This enables flexible management and efficient processing of data.

• IE interfaces
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• v.25 no.1
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• pp.71-78
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• 2012

Most manufacturing companies participate in various types of active collaboration to enhance competitive advantages in their arenas. In this paper, we introduce a data warehouse system that is designed for manufacturing collaboration. Just as enterprise information systems, collaboration support systems also need functions of performance measurement and monitoring. For this reason, we devise a new approach to measuring and evaluating performance of manufacturing collaboration. Specifically, we first present a concept of process warehouses for manufacturing collaboration. Next, we design a data schema of collaborative process warehouses to store and monitor collaboration performances. Finally, we implement a prototype system to support performance management of manufacturing collaboration. The proposed system can be used to effectively maintain and continuously improve collaboration in manufacturing industry.

• Journal of the Korea Society of Computer and Information
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• v.10 no.6 s.38
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• pp.253-260
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• 2005

Active networks not only allows the network nodes, switches or routers. to perform routing and forwarding but so allows their users inject customized programs into the nodes of the network or the packets. that may modify, store or redirect the user data flowing through the network. In this paper, we proposed a new network management system built using active network technology, that can solve problems inherent in most of existing legacy centralized network management systems. The main contribution is to present the Smart Router model that can reduce traffics due to managing networks by way of making control packets into simplified patterns. The disadvantages of the centralized network management are presented and the current solution for distributed network management are discussed. The performance improvements that our architecture offers are showed through a service example experiment.

• Proceedings of the KAIS Fall Conference
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• 2006.11a
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• pp.216-219
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• 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 exac-erbation 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 suc-cessful 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.

• Journal of the Korean Society of Clothing and Textiles
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• v.31 no.3 s.162
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• pp.387-397
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• 2007

Due to the recent trend of relationship marketing and characteristics of the apparel retail industry that relys heavily on employees' performance, internal marketing toward the employees gives a critical influence on firms' overall performance. This study is aiming at the factors of internal marketing and relationship management that enhance positive attitude toward change. A survey questionnaire was developed and about two hundreds department store sales staffs working for apparel brands participated in the empirical study. Factor analysis ensured the existence of five aspects of internal marketing: educational training, internal communication, power endorsement, management capability and incentive system. Results indicated that age, marital status, years of employment, position rank, and salary types of salespersons had significant influence on internal marketing factors. Incentive system had significant influence on internal customer relationship management. Internal customer relationship management had significant impact on employees' attitude toward change. Educational training had significant influence on employees' perceived importance of change. Educational training, power endorsement and incentive system affected employees' perceived outcome of change.

• Asia pacific journal of information systems
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• v.10 no.3
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• pp.79-103
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• 2000

Data warehouse is an intelligent store of data. A metadata is critical for implementing data warehouse. Integrating data warehouse with its metadata helps create a more adaptive information system. This paper proposes a metadata-oriented data warehouse architecture that consists of seven components: legacy, extracting, operational data store, data warehouse, data mart, application, and metadata. A taxonomy for dataflow and metaflow is proposed for better understanding of the architecture. In addition, a metadata schema is built within the framework of the seven components. Lastly, the architecture with its metadata component is applied to a real-life data warehouse project for a large medical center in order to illustrate its practical usefulness.

• Journal of information and communication convergence engineering
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• v.5 no.4
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• pp.369-373
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• 2007

RFID systems large volume of data, it can lead to slower queries. To achieve better query performance, we can partition into active and some nonactive data. In this paper, we propose two approaches of partitioning for efficient query support. The one is average period plus delta partition and the other is adaptive average period partition. We also present the system architecture to manage active data and non-active data and logical database schema. The data manager check the active partition and move all objects from the active store to an archive store associated with an average period plus data and an adaptive average period. Our experiments show the performance of our partitioning methods.