• Journal of the Institute of Electronics Engineers of Korea SP
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• v.39 no.3
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• pp.49-57
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• 2002

In this paper, we deal with a real time implementation of the integrated image-based navigation parameter extraction system using the TMS320C80 MVP(multimedia video processor). Our system consists of relative position estimation and absolute position compensation, which is further divided into high-resolution aerial image matching, DEM(Digital elevation model) matching, and IRS (Indian remote sensing) satellite image matching. Those algorithms are implemented in real time using the MVP. To achieve a real-time operation, an attempt is made to partition the aerial image and process the partitioned images in parallel using the four parallel processors in the MVP. We also examine the performance of the implemented integrated system in terms of the estimation accuracy, confirming a proper operation of the our system.

• Journal of the Institute of Electronics and Information Engineers
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• v.51 no.1
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• pp.202-208
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• 2014

Friction force on robot systems is highly nonlinear and especially disturbs precise control of the robots at low speed. This paper deals with the dynamic friction compensation problem of a well-known one-link benchmark robot system. We consider the LuGre model because the model can successfully represent dynamic characteristics and various effects of friction phenomenon. The proposed controller is constructed as two parts. An adaptive controller based on dual observers is used to estimate and compensate the dynamic friction. In order to attenuate the friction estimation error and other disturbances, PI observer is additionally designed. Through the computer simulations with the benchmark system, this paper first examines the effects of nonlinear dynamic friction on the control performance of the benchmark robot system. Next, it is shown that the control performance against the dynamic friction is improved by using the proposed controller.

• Journal of the Korean Society for Precision Engineering
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• v.18 no.11
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• pp.138-147
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• 2001

Alignment systems are frequently used under various semiconductor manufacturing environment. Particularly in PDP(Plasma Display Panel) manufacturing process, the alignment system is applied to the combining and sealing processes of the upper and lower glass panels of PDP, where these processes are performed in the vacuum chamber of high vacuum and high temperature. In this paper, the XYΘ-alignment stage is developed to align PDP panels. Because of high vacuum and high temperature environment, the alignment chamber has been designed to isolate the inner part of the alignment chamber from the outer environment of high vacuum and high temperature, in which every part of the alignment stage is inserted. As it is difficult to attach feedback sensors to the alignment stage in the alignment chamber, the alignment stage is implemented with the open loop algorithm, where the parallel link structure has been designed using step-motors and ball-screws for structural simplicity. The kinematic analysis is performed to drive the parallel link structure, based on the experiments of actuation-compensation of the alignment stage. For the error compensation, the hyperpatch model has been used to model the errors. From the experiments, the positional accuracy of the alignment stage can be improved significantly.

• Journal of Digital Convergence
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• v.14 no.11
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• pp.201-224
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• 2016

The main objective of this study is to identify and analyze the factors affecting technology innovation of the innovative IT SMEs. A research model is established based on the previous studies on the technology innovation of SMEs. The model consists of independent variables (Adhocracy culture, R&D capability, IT capability, Leadership, and Appraisal & Reward), an intermediate variable (Knowledge management), and dependent variables (product/service innovation and process innovation). Major research results can be summarized as follows: IT SMEs pursuing technology innovation should: (1) pay attention to innovation oriented culture, IT capability, and evaluation & compensation systems of the company; (2) recognize that knowledge management is an essential activity performed by the company; (3) strengthen the R&D capabilities of the company by not only exerting internal efforts but establishing cooperative network with various parties; and (4) resolve the decoupling problem of the evaluation & compensation system.

• Journal of Korea Port Economic Association
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• v.39 no.2
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• pp.165-178
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• 2023

This paper presented a management model for continuous development and co-prosperity between freight car transportation companies and consigned car owners, which are the subjects of the consignment system. A structural equation-based questionnaire was created to measure the variables necessary for establishing a management model, such as business owners' perceptions of each other and their needs for improvement, by analyzing the internal and external environment of the freight transport market and conducting surveys of freight companies and consigned vehicle owners. As a result of the analysis, it was confirmed that the rationality of the consignment system did not have a significant effect on financial performance or the level of transportation service, while the external environment and compensation system of the transportation business had a significant impact on financial performance and level of transportation service. In addition, the rationality of the consignment system does not affect the improvement of the relationship between project entities, but it does affect the level of trust. It was confirmed that the external environment and compensation system of the transport business have an effect on both relationship improvement and trust level improvement. It was found that the level of trust affects financial performance, and relationship improvement does not affect both financial performance and transportation service level. It is necessary to manage the consignment system based on the confirmed analysis results in order for the domestic freight company and the consigned vehicle owner to coexist and develop each other in the truck transportation market.

• Korean Business Review
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• v.20 no.2
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• pp.47-60
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• 2007

The purpose of this study is to investigate the beyond budgeting model at Borealis Group. This company have succeed in beyond budgeting by rolling financial forecasts, balanced scorecard, Activity-based costing, and decentralized investment management. As study finding of this paper, proposed following items to domestic enterprises. The first, improvement of plan function of budgeting by rolling financial forecasts. the second, strategy and budget more than strong link by balanced scorecard. the third resource's strategic arrangement and efficient use. the fourth competitive advantage strategies associated with relative performance evaluation, the fifth, compensation public ownership by relative performance.

• Journal of Korea Multimedia Society
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• v.13 no.2
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• pp.225-236
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• 2010

This study proposes a method for the recognition of emergency situation according to the bimodal information of camera image sensor and gravity sensor. This method can recognize emergency condition by mutual cooperation and compensation between sensors even when one of the sensors malfunction, the user does not carry gravity sensor, or in the place like bathroom where it is hard to acquire camera images. This paper implemented HMM(Hidden Markov Model) based learning and recognition algorithm to recognize actions such as walking, sitting on floor, sitting at sofa, lying and fainting motions. Recognition rate was enhanced when image feature vectors and gravity feature vectors are combined in learning and recognition process. Also, this method maintains high recognition rate by detecting moving object through adaptive background model even in various illumination changes.

• Journal of Institute of Control, Robotics and Systems
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• v.22 no.8
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• pp.633-642
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• 2016

It is important for advanced active safety systems and autonomous driving cars to get the accurate estimates of the nearby vehicles in order to increase their safety and performance. This paper proposes a sensor fusion method for radar and vision sensors to accurately estimate the state of the preceding vehicles. In particular, we performed a study on compensating for the lateral state error on automotive radar sensors by using a vision sensor. The proposed method is based on the Interactive Multiple Model(IMM) algorithm, which stochastically integrates the multiple Kalman Filters with the multiple models depending on lateral-compensation mode and radar-single sensor mode. In addition, a Probabilistic Data Association Filter(PDAF) is utilized as a data association method to improve the reliability of the estimates under a cluttered radar environment. A two-step correction method is used in the Kalman filter, which efficiently associates both the radar and vision measurements into single state estimates. Finally, the proposed method is validated through off-line simulations using measurements obtained from a field test in an actual road environment.

• Structural Engineering and Mechanics
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• v.56 no.3
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• pp.385-407
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• 2015

This paper deals with the problem of the global stabilization for a class of tension leg platform (TLP) nonlinear control systems. It is well known that, in general, the global asymptotic stability of the TLP subsystems does not imply the global asymptotic stability of the composite closed-loop system. Finding system parameters for stabilizing the control system is also an issue need to be concerned. In this paper, we give additional sufficient conditions for the global stabilization of a TLP nonlinear system. In particular, we consider a class of NN based Takagi-Sugeno (TS) fuzzy TLP systems. Using the so-called parallel distributed compensation (PDC) controller, we prove that this class of systems can be globally asymptotically stable. The proper design of system parameters are found by a swarm intelligence algorithm called Evolved Bat Algorithm (EBA). An illustrative example is given to show the applicability of the main result.

• Journal of Biomedical Engineering Research
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• v.22 no.6
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• pp.497-502
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• 2001

Influence of other blond components on measuring glucose concentration was analyzed B)food phantom containing five major components was made. The prediction model was developed based on the measurement of absorption spectra including the first overtone glucose band, i.e.. 1500 ∼ 1850 nm. The concentrations were Predicted using the Partial least squares regression. Factor analysis based on Design of Experiment was Performed to study the influence of other components in predicting glucose concentration. Triglyceride does not influence. Albumin and globulin haute minor effects. However, hemoglobin showed substantial response and the compensation of hemoglobin concentration appears to be required for the model of glucose measurement.