• The Journal of the Korea institute of electronic communication sciences
• /
• v.14 no.2
• /
• pp.351-360
• /
• 2019

Recently, the use of ESS facilities has been increased under the government's energy policy and at the same time, the various accident incidents such as fire and explosion occurred. Currently the ESS is installed as integrated ESS which includes PMS(: Power Management System), However, when the accident occurs, this system has high possibilities of losing the data due to oxidization, and the administrator cannot respond promptly. Therefore, in this paper, by constructing a separate WAS and data storage, it is possible to separate the main functions of the conventional system, to enable external EMS operation, and at the same time to quickly respond to the cause and cause of the accident occurrence. We will propose the development of a standalone PMS that is possible to respond.

• The Journal of Korean Institute of Information Technology
• /
• v.16 no.11
• /
• pp.35-41
• /
• 2018

Electrical impedance tomography (EIT) is a kind of nondestructive testing technique that obtains the internal resistivity distribution from the voltages measured at the electrodes located outside the area of interest. However, an image reconstruction problem in EIT has innate non-linearity and ill-posedness, so that it is difficult to obtain satisfactory reconstructed results. In general, a neural network can efficiently model the input and output relationships of a non-linear system. This paper proposes a method for estimating the position and size of a circular target using a multi-layer neural network. To verify the performance of the proposed method, neural network was trained and various computer simulations were performed and satisfactory performance was verified.

• Smart Media Journal
• /
• v.8 no.2
• /
• pp.86-93
• /
• 2019

The purpose of this study is to develop walk score application GUI in a smart device for improving user convenience. This study uses the walk score dataset of Seoul City developed in previous studies. Application GUI consists of five parts: address input window and search button, detail information (address, latitude, longitude, walk score), window switching and input window for a number of data, data input window, and menu button. For verifying application GUI, this study uses 12 locations (sets of address, latitude, longitude, and walk score) near Gangnam Station and Myungdong Station in Seoul in several scenarios. First, this study checks if the application has been implemented with address and keyword search options. Then, new data insertion and file output operations are evaluated. The application system developed in this study operated properly in all scenarios. This walk score application can be a useful device in our daily lives.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2014.10a
• /
• pp.259-263
• /
• 2014

In the ICT field, one among the remarkable issue of in 2014 is the "Wear computer", that is, the opening of "Wearable Device" age. The Samsung galaxy gear and products like Google glass and Apple watch are done as the wearable device. According to the definition of MIT Media Lab, the wearable device adheres to the body and is included till the application which names all things doing the computing action and can perform the partial computing function. And the wearable device is one brain. If the wearable device is popularized, it will be changed many things. First of all, 2 hands become free. My body is due to be connected to 24 hours Internet. It is not level that it adheres the Smart phone or device to the body and the brain role in which the device is connected outside directly, the human body is done. In this paper, the related companies analyze the technical elements of this wearable device especially.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2016.10a
• /
• pp.868-871
• /
• 2016

Recently, Unmanned vehicle and Wearable Technology using iot research is being carried out. The unmanned vehicle is the result of it technology. Robots, autonomous navigation vehicle and obstacle avoidance, data communications, power, and image processing, technology integration of a unmanned vehicle or an unmanned robot. The final goal of the unmanned vehicle manual not autonomous by destination safely and quickly reaching. This paper managed to cover One of the key skills of unmanned vehicle is to image processing. Currently battery technology of unmanned vehicle can drive for up to 1 hours. Therefore, we use the Raspberry Pi 3 to reduce power consumption to a minimum. Using the Raspberry Pi 3 and to develop an image recognition system. The goal is to propose a system that recognizes all the objects in the image received from the camera.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.20 no.9
• /
• pp.1-6
• /
• 2019

One method for image recognition is template matching. In conventional template matching, the block matching algorithm (BMA) is performed while changing the two-dimensional translational displacement of the template within a given matching image. The template size and shape do not change during the BMA. Since only two-dimensional translational displacement is considered, the success rate decreases if the size and direction of the object do not match in the template and the matching image. In this paper, a variable is added to adjust the two-dimensional direction and size of the template, and the optimal value of the variable is automatically calculated in the block corresponding to each two-dimensional translational displacement. Using the calculated optimal value, the template is automatically transformed into an optimal template for each block. The matching error value of each block is then calculated based on the automatically deformed template. Therefore, a more stable result can be obtained for the difference in direction and size. For ease of use, this study focuses on designing the algorithm in a closed form that does not require additional information beyond the template image, such as distance information.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.23 no.8
• /
• pp.981-987
• /
• 2019

In this paper, we propose a new SC-FDE (single carrier frequency domain equalization) structure to cope with narrow band interference signals or jammers and reduce pilot overhead. The conventional SC-FDE structure has a problem that the receiver performance degrades severely due to difficulty in time-domain channel estimation when narrow band jammers exist. In addition, the spectral efficiency is lowered by transmitting pilot at every SC-FDE block to estimate channel response. In order to overcome those problems, the proposed structure is devised to estimate frequency domain channel directly without time domain channel estimation. To reduce the pilot overhead, several data blocks are transmitted between two pilots. The channel estimate of each data block is found through linear interpolation of two channel estimates at two pilots. By performing frequency domain channel equalization using this channel estimate, the distortion by the channel is well compensated when narrow band jammers exist. The performance of the proposed structure is confirmed by computer simulation.

• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.19 no.4
• /
• pp.169-174
• /
• 2019

In this study, I use surveillance data collection and data mining, clustered by clustering method, and use supervised learning to judge similarity. I aim to use feature extraction algorithms and supervised learning to analyze the suitability of the correlations of personality. After conducting the questionnaire survey, the researchers refine the collected data based on the questionnaire, classify the data sets through the clustering techniques of WEKA, an open source data mining tool, and judge similarity using supervised learning. I then use feature extraction algorithms and supervised learning to determine the suitability of the results for personality. As a result, it was found that the highest degree of similarity classification was obtained by EM classification and supervised learning by Naïve Bayes. The results of feature classification and supervised learning were found to be useful for judging fitness. I found that the accuracy of each Big-5 personality was changed according to the addition and deletion of the items, and analyzed the differences for each personality.

• The Korean Journal of Applied Statistics
• /
• v.32 no.1
• /
• pp.1-13
• /
• 2019

An adaptive seamless Phase II/III clinical trial design enables a reduction in the sample size (in comparison to a conventional design) that also shortens the clinical development time. It is also very effective in clinical trials since it can have higher statistical power than Phase III alone. In this study, we use extensive simulation studies to compare several multiple hypothesis testing methods that can help select the best doses in a Phase II study along with several methods to combine p-values of the Phase II and Phase III study.

• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.19 no.1
• /
• pp.57-62
• /
• 2019

This paper evaluates the QE-MMA (Quantized Error-MMA) adaptive equalization algorithm by the number of quantizer in order to compensates the intersymbol interference due to channel in the transmission of high spectral efficient nonconstant modulus signal. In the adaptive equalizer, the error signal is needed for the updating the tap coefficient, the QE-MMA uses the polarity of error signal and correlation multiplier that condered nonlinear finite bit power-of-two quantizing component in order to convinience of H/W implementation. The different adaptive equalization performance were obtained by the number of quantizer, these performance were evaluated by the computer simulation. For this, the equalizer output signal constellation, residual isi, maximum distortion, MSE, SER were applied as a performance index. As a result of computer simulation, it improved equalization performance and reduced equalization noise were obtained in the steady state by using large quantizer bit numbers, but gives slow in convergence speed for reaching steady state.