• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.21 no.10
• /
• pp.1950-1956
• /
• 2017

In food-printing field, precise positioning technique for a printing object is very important. In this paper, we propose cup positioning method for a latte-art printer through image processing. A camera sensor is installed on the upper side of the printer, and the image obtained from this is projected and converted into a top-view image. Then, the edge lines of the image is detected first, and then the coordinate of the center and the radius of the cup are detected through a Circular Hough transformation. The performance evaluation results show that the image processing time is 0.1 ~ 0.125 sec and the cup detection rate is 92.26%. This means that a cup is detected almost perfectly without affecting the whole latte-art printing time. The center point coordinates and radius values of cups detected by the proposed method show very small errors less than an average of 1.5 mm. Therefore, it seems that the problem of the printing position error is solved.

• Journal of Broadcast Engineering
• /
• v.26 no.5
• /
• pp.533-542
• /
• 2021

In this study, a process of re-creating Jindo Buk Chum, one of the traditional Korean arts, into digital art using various artificial intelligence technologies was proposed. The audience's emotional data, quantified through artificial intelligence language analysis technology, intervenes in various object forms in the projection mapping performance and affects the big story without changing it. If most interactive arts express communication between the performer and the video, this performance becomes a new type of responsive performance that allows the audience to directly communicate with the work, centering on artificial intelligence emotion analysis technology. This starts with 'Chuimsae', a performance that is common only in Korean traditional art, where the audience directly or indirectly intervenes and influences the performance. Based on the emotional information contained in the performer's 'prologue', it is combined with the audience's emotional information and converted into the form of images and particles used in the performance to indirectly participate and change the performance.

• Nuclear Engineering and Technology
• /
• v.53 no.10
• /
• pp.3327-3334
• /
• 2021

Present electric grids are advanced to integrate smart grids, distributed resources, high-speed sensing and control, and other advanced metering technologies. Cybersecurity is one of the challenges of the smart grid and nuclear plant digital system. It affects the advanced metering infrastructure (AMI), for grid data communication and controls the information in real-time. The research article is emphasized solving the nuclear and smart grid hardware security issues with the integration of field programmable gate array (FPGA), and implementing the latest Time Authenticated Cryptographic Identity Transmission (TACIT) cryptographic algorithm in the chip. The cryptographic-based encryption and decryption approach can be used for a smart grid distribution system embedding with FPGA hardware. The chip design is carried in Xilinx ISE 14.7 and synthesized on Virtex-5 FPGA hardware. The state of the art of work is that the algorithm is implemented on FPGA hardware that provides the scalable design with different key sizes, and its integration enhances the grid hardware security and switching. It has been reported by similar state-of-the-art approaches, that the algorithm was limited in software, not implemented in a hardware chip. The main finding of the research work is that the design predicts the utilization of hardware parameters such as slices, LUTs, flip-flops, memory, input/output blocks, and timing information for Virtex-5 FPGA synthesis before the chip fabrication. The information is extracted for 8-bit to 128-bit key and grid data with initial parameters. TACIT security chip supports 400 MHz frequency for 128-bit key. The research work is an effort to provide the solution for the industries working towards embedded hardware security for the smart grid, power plants, and nuclear applications.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.13 no.2
• /
• pp.751-770
• /
• 2019

Action recognition is an essential task in computer vision due to the variety of prospective applications, such as security surveillance, machine learning, and human-computer interaction. The availability of more video data than ever before and the lofty performance of deep convolutional neural networks also make it essential for action recognition in video. Unfortunately, limited crafted video features and the scarcity of benchmark datasets make it challenging to address the multi-person action recognition task in video data. In this work, we propose a deep convolutional neural network-based Effective Hybrid Learning (EHL) framework for two-person interaction classification in video data. Our approach exploits a pre-trained network model (the VGG16 from the University of Oxford Visual Geometry Group) and extends the Faster R-CNN (region-based convolutional neural network a state-of-the-art detector for image classification). We broaden a semi-supervised learning method combined with an active learning method to improve overall performance. Numerous types of two-person interactions exist in the real world, which makes this a challenging task. In our experiment, we consider a limited number of actions, such as hugging, fighting, linking arms, talking, and kidnapping in two environment such simple and complex. We show that our trained model with an active semi-supervised learning architecture gradually improves the performance. In a simple environment using an Intelligent Technology Laboratory (ITLab) dataset from Inha University, performance increased to 95.6% accuracy, and in a complex environment, performance reached 81% accuracy. Our method reduces data-labeling time, compared to supervised learning methods, for the ITLab dataset. We also conduct extensive experiment on Human Action Recognition benchmarks such as UT-Interaction dataset, HMDB51 dataset and obtain better performance than state-of-the-art approaches.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.25 no.7
• /
• pp.986-992
• /
• 2021

To stabilize closed-loop wireless control systems, the state-of-the-art approach receives the individual sensor measurements at the controller and then sends the computed control signal to the actuators. We propose an over-the-air controller scheme where all sensors attached to the plant transmit scaled sensing signals simultaneously to the actuator, and the actuator then computes the feedback control signal by scaling the received signal. The over-the-air controller essentially adopts the over-the-air computation concept to compute the control signal for closed-loop wireless control systems. In contrast to the state-of-the-art sensor-to-controller and controller-to-actuator communication approach, the over-the-air controller exploits the superposition properties of multiple-access wireless channels to complete the communication and computation of a large number of sensing signals in a single communication resource unit. Therefore, the proposed scheme can obtain significant benefits in terms of low actuation delay and low resource utilization with a simple network architecture that does not require a dedicated controller.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2021.11a
• /
• pp.942-943
• /
• 2021

The present work proposes a classification system for the HEp-2 cell images using an unsupervised deep feature learning method. Unlike most of the state-of-the-art methods in the literature that utilize deep learning in a strictly supervised way, we propose here the use of the deep convolutional autoencoder (DCAE) as the principal feature extractor for classifying the different types of the HEp-2 cell images. The network takes the original cell images as the inputs and learns to reconstruct them in order to capture the features related to the global shape of the cells. A final feature vector is constructed by using the latent representations extracted from the DCAE, giving a highly discriminative feature representation. The created features will be fed to a nonlinear classifier whose output will represent the final type of the cell image. We have tested the discriminability of the proposed features on one of the most popular HEp-2 cell classification datasets, the SNPHEp-2 dataset and the results show that the proposed features manage to capture the distinctive characteristics of the different cell types while performing at least as well as the actual deep learning based state-of-the-art methods.

• Journal of Engineering Education Research
• /
• v.23 no.4
• /
• pp.66-75
• /
• 2020

This study was conducted using the literature review and survey research to analyze the operational status and effectiveness of the single-track accredited program, which has been mandatory since 2016. The research targets to achieve the purpose of the study were the nationwide engineering education accreditation system operating colleges, departments, and engineering education innovation centers. Finally, 183 copies were collected from faculty members at 69 colleges and 554 copies at the department level. As a result of the survey, the college recognized more positively about the operation of the single-track accredited program, and more than 50% of respondents said that there were difficulties due to the operation of the system. The contents required were analyzed and presented. Based on this, the engineering education accreditation system, including the single-track accredited program, suggested the direction of support at the government level and the ABEEK level to better settle down in the field of engineering colleges.

• The Journal of the Korea Contents Association
• /
• v.12 no.10
• /
• pp.93-105
• /
• 2012

Science and technology are deeply based on the invention of photography. The images that were made through machines and scientific process were not just delicate images. Photography was used wherever accurate record and realistic description were needed, such as public culture, art, advertisement, science research and so on, so it became an important part of anthropologic culture. However, the history of photography in the present photography education mainly deal with photographic tendency of famous photographers, the change of art paradigm by time period, social changes through big wars, thus there is a lack of diverse perspective in the history of photography, such as technological perspective. In this study, the history of photography was examined through science and technology, and analyzed how photography was affected and changed by the stage of important technological accomplishment. From this point of view, It will be helpful to understand modern photography, and meaningful to be a good reference. Furthermore, by understanding that photography relies on technology, the people who majored in photography will realize how important studying photographic technology and theories is.

• Journal of the Korea Fashion and Costume Design Association
• /
• v.9 no.2
• /
• pp.59-68
• /
• 2007

"Aloha" is the Hawaiian word that extends the warmth friendliness, and pride of the Hawaiian people to their island's visitors. The aloha shirt truly symbolizes aloha sprit to islanders and visitors alike. The earliest foreign settlers in the Hawaiian Islands were the Chinese and Japanese. They brought with them their myriad talents and trades, among them the art of tailoring. In July of 1936, a shirtmaker named Ellery J.Chun coined the term "Aloha Shirt" an apt characterization for such an eloquent garment. He was the first to make the shirt on a commercial basis. The shirt sold for as little as a dollar in Chun's own King-Smith store. The genuine aloha shirt is now regaled as a work of art and avidly sought out by collectors. When tourism came to Hawaii in the late 1930s, these unusal shirts were among the first thing that visitors had to have. Local designers and tailors worked quickly to meet the demand and began to expand the range of decoration to include palm trees and romantic beaches, tropical jungles and volcanoes, exotic flowers and scenes from polynesian legend. Therefore the aloha shirt had been born. The functional use of creative colors and amazing artistic renderings in these shirts certainly capture the simplicity and sprit of Hawaii. Aloha shirt is dress that display mystery and charm of Hawaii and cultural symbol of condensed Hawaiian mind. Furthermore, the innocence with which Hawaiians formerly translated their life and heritage onto fabric ranks these shirts with the finest of American folk art. Aloha shirt is made from cotton, silk, rayon in present and past. Most important design element of Aloha shirt is print pattern. Main print pattern of Aloha shirt are all over pattern, horizontal pattern, border pattern, Japanese pattern, picture pattern and back panel pattern. In this study I investigate the design characteristics and development process of aloha shirt.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.10 no.12
• /
• pp.3963-3970
• /
• 2009

This study proposes a method to evaluate the level of 'soft-hard' of color quantitatively by evaluating the shape with edge sharpness automatically and by evaluating color in the color image scale in a drawing in art therapy using a computer. The dependent variable is the rank for the color experts to rate the level of 'soft-hard'. The mean and standard deviation of Value(V), and Chroma(C), colors, main color, clusters, length of edge, and sharp line rate of edge are considered as the independent variable. The appropriate independent variables to explain the dependent variable are selected through the step wise regression analysis. The inter-rater reliability of two raters is checked and the validity of developed system is verified by the rank correlations coefficient between the ranks of rater's and system's. This system can be used to evaluate of the shape or color in a drawing objectively and quantitatively for art therapy assessment, and to give the useful information to the fashion, textile, interior industry as well as color psychology and art therapy.