• Journal of Korea Society of Digital Industry and Information Management
• /
• v.19 no.1
• /
• pp.77-89
• /
• 2023

The purpose of this study is to empirically confirm what is an important variable of organizational change by intelligent technology acceptance and whether is a difference in important variables in the organization level of acceptance of intelligent technology. Recently, business models using intelligent technologies such as chat-bots, self-driving cars, credit-prevention fraud, face recognition, and health-care are emerging. External situation factors such as artificial intelligence, big data, COVID-19, and the ESG management are changing the direction of a company's management strategy. This research method established a structural equation model. As a result of the analysis, we found that the leadership, organizational culture, and organizational cooperation variables had a positive effect on human resource development variables. Human resource development found a positive effect on the performance of intelligent technology. In addition, we found the independent variables of leadership, organizational culture, and organizational cooperation had partial mediating effects on the performance of intelligent technology. Each group of levels of intelligent technology found performance differences. The organizational culture variables appeared as important variables in all groups. On the other hand, the leadership variable appeared as an important variable in the middle and lower groups of intelligent technology. The theoretical background of this study is that the business theory was updated through artificial intelligence and intelligent technology theory. As a practical implication, the organization adopting intelligent technology is necessary to prepare a systematic plan for organizational culture change.

• Journal of Information Processing Systems
• /
• v.18 no.6
• /
• pp.763-769
• /
• 2022

Transportation allocation requires information such as storage location and order information. In order to guarantee the safe transmission and real-time sharing of information in all links, an intelligent transportation control system based on blockchain technology is designed. Firstly, the technical architecture of intelligent transportation information traceability blockchain and the overall architecture of intelligent transportation control system were designed. Secondly, the transportation management demand module and storage demand management module were designed, and the control process of each module was given. Then, the type of intelligent transportation vehicle was defined, the objective function of intelligent transportation control was designed, and the objective function of intelligent transportation control was constructed. Finally, the intelligent transportation control was realized by genetic algorithm. It was found that when the transportation order volume was 50×103, and the CPU occupancy of the designed system was only 11.8%. The reliability attenuation of the code deletion scheme was lower, indicating better performance of the designed system.

• International Journal of Control, Automation, and Systems
• /
• v.6 no.6
• /
• pp.915-927
• /
• 2008

Networked control systems(NCSs) have gained increasing attention in recent years due to their advantages and potential applications. The network Quality-of-Service(QoS) in NCSs always fluctuates due to changes of the traffic load and available network resources. To handle the network QoS variations problem, this paper presents an intelligent scheduling control method for NCSs, where the sampling period and the control parameters are simultaneously scheduled to compensate the effect of QoS variation on NCSs performance. For NCSs with network-induced delays and packet dropouts, a discrete-time switch model is proposed. By defining a sampling-period-dependent Lyapunov function and a common quadratic Lyapunov function, the stability conditions are derived for NCSs in terms of linear matrix inequalities(LMIs). Based on the obtained stability conditions, the corresponding controller design problem is solved and the performance optimization problem is also investigated. Simulation results are given to demonstrate the effectiveness of the proposed approaches.

• Journal of the Korean housing association
• /
• v.18 no.3
• /
• pp.1-8
• /
• 2007

Since the Intelligent Building was first introduced in early 1980s, It has been studied and designed by related technical experts as it was called by the name of intelligent Building, High-tech Intelligence Building, High-capacity Building, Intellectual Building, etc. Despite the need for new concept as the relation between global environment and architecture has become an issue on a full scale since 1990s and with the development of high technology, former concept is maintained without modification or complement. Especially, attempt to combine industrial technology with architecture is essential to Intelligent Building, therefore frequent opportunity of self-innovation according to the development of technology is necessary. Due to the rarity of the high-technology and its high cost, it was adopted to large-scale construction, however, nowadays, almost all kinds of buildings are getting designed with intelligent-technology. Therefore we can expect that this trend will be accelerated by evolution of technology and will position as a major stream of future architecture along with environment-friendly architecture. Through this process, we should fully be aware of the importance of the several intelligent skin technology to protect global environment and to set future direction in architecture.

• Proceedings of the Korean Institute of Intelligent Systems Conference
• /
• 1993.06a
• /
• pp.1382-1385
• /
• 1993

In order to improve productivity, an intelligent control system is presented in the pater. In this intelligent control system, a feedforward neural network and a fuzzy feedback mechanism are adopted to achieve a constant milling force with an adjustable feedrate under a variety of cutting conditions in milling operations.

• Proceedings of the Korean Society for Technology of Plasticity Conference
• /
• 2008.05a
• /
• pp.225-229
• /
• 2008

We present an intelligent forging simulator AFDEX. The intelligent forging simulator is determined by the adaptive and optimal mesh generation technique and many intelligent application-oriented special functions which minimize the user-intervention during forging simulation. Of course, the solution accuracy should be optimized in the intelligent simulation. We have developed AFDEX to meet the requirement on intelligent simulation. Its characteristics are introduced with the help of typical application examples.

• International Journal of Fuzzy Logic and Intelligent Systems
• /
• v.8 no.2
• /
• pp.100-104
• /
• 2008

In this paper, intelligent filtering methodology for masterarm translation signal is proposed. Fidelity and stability are contradicting factors in teleoperation. Human hand trembling filtering is one of the problems in telemanipulation field. During every operation the hand has a certain vibration that can affect the quality of teleoperation, especially in carrying FPD (Flat Panel for Display), nanomanipuation and other precise tasks. It is very important to study the kinesthetic perception of the human and to optimize the teleoperation system accordingly. To cancel out the influence of human's hand vibration the signal from the masterarm should be filtered. One of the feasible solutions is to use an intelligent filter based on fuzzy logic, which is a very flexible instrument. Applying intelligent filtering methodology, we can use some heuristic methods to solve the filtering problem.

• Proceedings of the KIPE Conference
• /
• 2020.08a
• /
• pp.300-301
• /
• 2020

본 논문은 GaN(Gallium Nitride)전력모듈과 GaN IPM(Intelligent Power Module)의 DPT(Double Pulse Test)를 통한 스위칭 특성 분석에 대해 다룬다. GaN 소자는 낮은 스위칭 손실로 인하여 고속 스위칭이 가능하여 최근 각광받는 소자 중 하나이다. 본 논문에서는 GaN 소자의 DPT를 위한 테스터를 설계/제작하고, 이를 활용하여 전압/전류 별 스위칭 특성을 실험적으로 확인하였다.

• Proceedings of the KIEE Conference
• /
• 2006.04a
• /
• pp.174-176
• /
• 2006

Sensor network supports data delivery from Physical world to cyber space. Sensors get physical events then wireless network transfers sensor data to service server. We use sensor network technology to light control system for intelligent building. In ubiquitous computing environment. wireless sensor network is basic tool for intelligent service. In this paper, we propose intelligent building light control system based on wireless sensor network. It is implemented using previous light control product, can be adopted to present building light system.

• Industrial Engineering and Management Systems
• /
• v.4 no.1
• /
• pp.109-116
• /
• 2005

Proposed in this paper is an intelligent management system for evaluating science research projects based on fuzzy neural networks with genetic algorithms. This system was planned, designed and tested employing theories and approaches of software engineering. This system was then applied to evaluate science research projects of the Natural Science Foundation of Guangdong Province, People’s Republic of China. The outcome / results shows the feasibility and validity of the system and its possible application to other intelligent management systems.