• Proceedings of the IEEK Conference
• /
• 2005.11a
• /
• pp.1291-1296
• /
• 2005

In this paper, we prevent a display quality drop for image of characteristics brightness ununiformity depend on LED use to LED vision. It is about that method also a control system development equipped with brightness compensation function of LED vision which is done easily for LED set up of LED vision. Generally, It is calculate driving current value is attended by each brightness to brightness characteristics mathematical function establish by "Y=aX+b", When is doing brightness value for "Y", driving current value for "X", brightness compensation value by using time for "b", characteristics value for "a" ground with characteristics curve of LED. So much, First It is create brightness data of each pixel take a photograph red, green and blue of LED vision. Second It is get average error about each pixel which get average brightness value of entire. Last, It is handle a complicated for about gradationally regulation to color and brightness of image send to LED vision. Also It raise the whole average brightness value of vision adjust for "b" value to solve brightness drop problem of LED using the long time.

• Proceedings of the Korean Association for Survey Research Conference
• /
• 2003.06a
• /
• pp.34-41
• /
• 2003

In many cases, the measurement error variances may be functions of the unknown true values or related covariates. This paper develops estimators of the parameters of a linear measurement error variance function based on wi thin-unit sample variaoces. This paper devotes to: (1) define measurement error scale factor $\delta$: (2) develop estimators of the parameters of the 1inear measurement error variance function under stratified multistage sampling design and small error conditions; (3) use propensity methods to adjust survey weights to account for possible selection effects at the replicate level. The proposed methods are applied to medical examination data from the U S Third National Health and Nutrition Examination Survey(NHANES III)

• Speech Sciences
• /
• v.10 no.2
• /
• pp.191-203
• /
• 2003

This study examined the effect of vocal loudness on nasalance measures, under the conditions of three sentence patterns (i.e., Oral sentences, Mixed sentences, Nasal sentences). The vocal loudness level was classified into soft voice (55 dB), medium voice (65 dB) and loud voice (75 dB). The participants in the present study were 30 normal adults (male: female =1:1). Kay's Nasometer 6200 was used to measure nasalance and Sound level meter was used to adjust the loudness level. The results of the present study are as follows. Firstly, the change in vocal loudness is in the following. In the Oral sentence stimuli, the loud voice for both male and female showed the highest nasalance degree, and the medium voice the lowest level. In the Mixed and Nasal sentence stimuli, however, male participants showed the highest degree of nasalance in the soft voice, and the lowest degree in the loud voice, and female showed the highest degree of nasalance in the soft voice and the lowest in the medium voice. Secondly, when each subject's nasalance scores were ranked in a ordered manner, noticeable tendency. Lowest nasalance score occurred in the loud voice and the highest nasalance score was recorded in the soft voice during participants' reading of the Nasal sentences. However, it was hard to find such pattern in the Oral sentences. It is assumed that velopharyngeal function could be related to these findings. Furthermore, the findings associated with vocal loudness may have diagnostic as well as clinical implications.

• Journal of the Korean Society for Precision Engineering
• /
• v.19 no.4
• /
• pp.187-194
• /
• 2002

In this paper, a motion control algorithm is developed using a fuzzy control and the optimization of performance function, which makes a robot arm avoid an unexpected obstacle when the end-effector of the robot arm is moving to the goal position. During talc motion, if there exists no obstacle, the end-effector of the robot arm moves along the predefined path. But if these exists an obstacle and close to talc robot arm, the fuzzy motion controller is activated to adjust the path of the end-effector of the robot arm. Then, the robot arm takes the optimal posture far collision avoidance with the obstacle. To show the feasibility of the developed algorithm, numerical simulations are carried out with changing both the positions and sites of obstacles. It was concluded that the proposed algorithm gives a good performance for obstacle avoidance.

• Journal of the Korean Society of Manufacturing Process Engineers
• /
• v.15 no.2
• /
• pp.131-138
• /
• 2016

In order to improve the performance of an extended Kalman filter, a simplified indirect inference method (SIIM) fuzzy logic system (FLS) is proposed. The proposed FLS is composed of two fuzzy input variables, four fuzzy rules and one fuzzy output. Two normalized fuzzy input variables are the variance between the trace of a prior and a posterior covariance matrix, and the residual error of a Kalman algorithm. One fuzzy output variable is the weighting factor to adjust for the Kalman gain. There is no need to decide the number and the membership function of input variables, because we employ the normalized monotone increasing/decreasing function. The single parameter to be determined is the magnitude of a universe of discourse in the output variable. The structure of the proposed FLS is simple and easy to apply to various nonlinear state estimation problems. The simulation results show that the proposed FLS has strong adaptability to estimate the states of the incoming/outgoing moving objects, and outperforms the conventional extended Kalman filter algorithm by providing solutions that are more accurate.

• Journal of Korean Society of Industrial and Systems Engineering
• /
• v.8 no.12
• /
• pp.65-77
• /
• 1985

The mainpoints of General Theory is 1) the mainspring of economic activity is effective demand which can expand or control in relation to supply as a result of spontaneous decision by customer or government. 2) change in effective demand Produce change in output and employment in the same direction 3) which given productivity of labour the Vice level depend on the money supply affect the in downward direction 4) change in the money supply affect the economy through the rates of interest 5) the only automatic mechanism through which the economy can adjust itself to a deficiency of effective demand is the long process which unemployment reduces wage rates and consequently the demand for money and interest rates, above summarized contents are General Theory frame-work. The neo-classical macro general equilibrium theory, which has been reconstructed subsequent to Keyneses critism is treated the neo-classical macro-general equilibrium theory which inherits the classical theories of labour market and the aggregate production function, on demand side, it introduce the Keyneses macro-general equilibrium theory, which function through flexible movement of prices, wage and interest. Nowadays, Keynes General Theory is being developed into new dimension i, e. the macro-disequilibrium theory, and adequacy, and appropriateness of the theory and its significant contributions to modern economics are being reinterpreted and substantiated.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.9 no.10
• /
• pp.3810-3830
• /
• 2015

In this paper, we investigate the differential game theoretic approach for distributed dynamic cooperative power control in cognitive radio ad hoc networks (CRANETs). First, a payoff function is defined by taking into consideration the tradeoff between the stock of accumulated power interference to the primary networks and the dynamic regulation of the transmit power of secondary users (SUs). Specifically, the payoff function not only reflects the tradeoff between the requirement for quickly finding the stable available spectrum opportunities and the need for better channel conditions, but also reveals the impact of the differentiated types of data traffic on the demand of transmission quality. Then the dynamic power control problem is modeled as a differential game model. Moreover, we convert the differential game model into a dynamic programming problem to obtain a set of optimal strategies of SUs under the condition of the grand coalition. A distributed dynamic cooperative power control algorithm is developed to dynamically adjust the transmit power of SUs under grand coalition. Finally, numerical results are presented to demonstrate the effectiveness of the proposed algorithm for efficient power control in CRANETs.

• The Journal of Korea Robotics Society
• /
• v.14 no.4
• /
• pp.357-362
• /
• 2019

This paper proposes a model and train method that can real-time detect objects and distances estimation based on a monocular camera by applying deep learning. It used YOLOv2 model which is applied to autonomous or robot due to the fast image processing speed. We have changed and learned the loss function so that the YOLOv2 model can detect objects and distances at the same time. The YOLOv2 loss function added a term for learning bounding box values x, y, w, h, and distance values z as 클래스ification losses. In addition, the learning was carried out by multiplying the distance term with parameters for the balance of learning. we trained the model location, recognition by camera and distance data measured by lidar so that we enable the model to estimate distance and objects from a monocular camera, even when the vehicle is going up or down hill. To evaluate the performance of object detection and distance estimation, MAP (Mean Average Precision) and Adjust R square were used and performance was compared with previous research papers. In addition, we compared the original YOLOv2 model FPS (Frame Per Second) for speed measurement with FPS of our model.

• Journal of the Korean Society of Environmental Restoration Technology
• /
• v.22 no.4
• /
• pp.65-80
• /
• 2019

The Wetland Conservation Plan is used as a tool to set the management direction of wetland protected areas, and which is establishing a plan for the conservation, wise-use, and management based on wetland's condition. This study was conducted to establish a conservation plan considering the functions and management conditions of Upo wetland protected area. To this end, there are analyzed the current issues, plans and implementation status of Upo Wetland Conservation Plans in the past. The management elements to be considered in establishing the Wetland Conservation Plan were selected through prior research analysis and the priority of those elements was identified through the AHP. As a result, it was found that lack of considering the changes and performance evaluation of the existing plans in wetlands, conducting short-term projects related to maintenance original function of wetland, different management methods for wetland protected areas and other adjacent areas, lack of understanding and cooperation by stakeholders, inconsistencies in timing of the Conservation Plan and survey of wetland protected areas. In order to improve the problem, it needs to include the performance evaluation stage of establishing the conservation plan, strengthen cooperation of stakeholders and expertise, continuing of projects for wetlands' maintenance, priority of the project considering the management side, and to adjust the timing of plans to improve data availability.

• Journal of the Korea Society of Computer and Information
• /
• v.24 no.8
• /
• pp.37-43
• /
• 2019

The existing smart farm technology has been systematized for the mass production rather than the consumer. There are many problems such as economical aspect to apply to actual rural environment due to aging. The purpose of this study is to apply smart farm technology based on the applicability of population aged in rural areas. Due to the heat wave, the crops in general greenhouse cultivation facilities suffered from damage such as sunlight damage. To minimize such damage, adjust the temperature and humidity environment or install a light-shielding film. However, the workers in the rural areas are aging and the elderly who are farming alone have a lot of difficulties in doing so. In the case of people with weak physical strength, there is a danger that they may lead to safety accidents when carrying heavy loads. In this paper, we propose 'Smart Palm capable of automatic transportation function', applying small smart vehicles that follow workers to existing smart farms to improve and prevent these problems. It is a smart farm that performs the control functions of the existing smart greenhouse environment, installs the rail for each trough, and has a vehicle that follows the worker. The smart app can directly control the greenhouse and the vehicle remotely manually.