• Title/Summary/Keyword: Innovative Performance

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The Expression of Postmodern Pop Art Style in Contemporary American Animation (현대 미국 애니메이션에서의 포스트모던 팝의 표현)

  • Wu, Ying;Chang, Wook-sang
    • The Journal of the Korea Contents Association
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    • v.22 no.4
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    • pp.727-741
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    • 2022
  • This article focused on contemporary American animation since the 1990s and later detailed clues to the theory that contemporary pop art style influenced contemporary American animation art creation expression and contemporary American animation. Knowing why American animation swept the world summarizes the art creation characteristics of modern American animation. After a combination of theoretical and actual animation works, the main manifestations of the postmodern pop art style in contemporary American animation: exaggerated and superficial shapes highlight character characteristics; rebellious colors reconstruct emotional perception; creation impacts the mass media-dependence; bizarre collage and repetition, embodying the postmodern pop spirit of jokes and spoofs, Etc. Through this, it is expected that the current analysis of American animation will provide new innovative ideas for domestic animation design and increase the competitiveness of domestic animation in international video animation.

Object Recognition Using Convolutional Neural Network in military CCTV (합성곱 신경망을 활용한 군사용 CCTV 객체 인식)

  • Ahn, Jin Woo;Kim, Dohyung;Kim, Jaeoh
    • Journal of the Korea Society for Simulation
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    • v.31 no.2
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    • pp.11-20
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    • 2022
  • There is a critical need for AI assistance in guard operations of Army base perimeters, which is exacerbated by changes in the national defense and security environment such as force reduction. In addition, the possibility for human error inherent to perimeter guard operations attests to the need for an innovative revamp of current systems. The purpose of this study is to propose a real-time object detection AI tailored to military CCTV surveillance with three unique characteristics. First, training data suitable for situations in which relatively small objects must be recognized is used due to the characteristics of military CCTV. Second, we utilize a data augmentation algorithm suited for military context applied in the data preparation step. Third, a noise reduction algorithm is applied to account for military-specific situations, such as camouflaged targets and unfavorable weather conditions. The proposed system has been field-tested in a real-world setting, and its performance has been verified.

A Study on the Design and Implementation of Information Service of Patients using HTK in a Medical Environment (메디컬 환경에서 HTK를 이용한 환자 진료 정보서비스 설계 및 구현)

  • Joo, Kilhong
    • Journal of Creative Information Culture
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    • v.6 no.3
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    • pp.129-139
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    • 2020
  • As the variety of scientific technology has grown repeatedly since the 19th century, innovative technology is developing high-level in healthcare field. The system to improve patient's satisfaction for silver generation introduced in domestic medical process result from promotion of convergence technology. But utilization of small and medium hospital is inevitable with maintain limited performance around existing large hospitals and high cost service system. Therefore phenomenon that weakness of patient's satisfaction and service accessibility for silver generation occurs. This study propose the design method that Android-based low-cost smart medical treatment information service system to improve accessibility to user of small and medium hospital for effective patient's satisfaction services management and medical services.

The fabrication of bulk magnet stacked with HTS tapes for the magnetic levitation

  • Park, Insung;Kim, Gwantae;Kim, Kyeongdeok;Sim, Kideok;Ha, Hongsoo
    • Progress in Superconductivity and Cryogenics
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    • v.24 no.3
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    • pp.47-51
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    • 2022
  • With the innovative development of bio, pharmaceutical, and semiconductor technologies, it is essential to demand a next-generation transfer system that minimizes dust and vibrations generated during the manufacturing process. In order to develop dust-free and non-contact transfer systems, the high temperature superconductor (HTS) bulks have been applied as a magnet for levitation. However, sintered HTS bulk magnets are limited in their applications due to their relatively low critical current density (Jc) of several kA/cm2 and low mechanical properties as a ceramic material. In addition, during cooling to cryogenic temperatures repeatedly, cracks and damage may occur by thermal shock. On the other hand, the bulk magnets made by stacked HTS tapes have various advantages, such as relatively high mechanical properties by alternate stacking of the metal and ceramic layer, high magnetic levitation performance by using coated conductors with high Jc of several MA/cm2, consistent superconducting properties, miniaturization, light-weight, etc. In this study, we tried to fabricate HTS tapes stacked bulk magnets with 60 mm × 60 mm area and various numbers of HTS tape stacked layers for magnetic levitation. In order to examine the levitation forces of bulk magnets stacked with HTS tapes from 1 to 16 layers, specialized force measurement apparatus was made and adapted to measure the levitation force. By increasing the number of HTS tapes stacked layers, the levitation force of bulk magnet become larger. 16 HTS tapes stacked bulk magnets show promising levitation force of about 23.5 N, 6.538 kPa at 10 mm of levitated distance from NdFeB permanent magnet.

Numerical finite element study of a new perforated steel plate shear wall under cyclic loading

  • Farrokhi, Ali-Akbar;Rahimi, Sepideh;Beygi, Morteza Hosseinali;Hoseinzadeh, Mohamad
    • Earthquakes and Structures
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    • v.22 no.6
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    • pp.539-548
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    • 2022
  • Steel plate shear walls (SPSWs) are one of the most important and widely used lateral load-bearing systems. The reason for this is easier execution than reinforced concrete (RC) shear walls, faster construction time, and lower final weight of the structure. However, the main drawback of SPSWs is premature buckling in low drift ratios, which affects the energy absorption capacity and global performance of the system. To address this problem, two groups of SPSWs under cyclic loading were investigated using the finite element method (FEM). In the first group, several series of circular rings have been used and in the second group, a new type of SPSW with concentric circular rings (CCRs) has been introduced. Numerous parameters include in yield stress of steel plate wall materials, steel panel thickness, and ring width were considered in nonlinear static analysis. At first, a three-dimensional (3D) numerical model was validated using three sets of laboratory SPSWs and the difference in results between numerical models and experimental specimens was less than 5% in all cases. The results of numerical models revealed that the full SPSW undergoes shear buckling at a drift ratio of 0.2% and its hysteresis behavior has a pinching in the middle part of load-drift ratio curve. Whereas, in the two categories of proposed SPSWs, the hysteresis behavior is complete and stable, and in most cases no capacity degradation of up to 6% drift ratio has been observed. Also, in most numerical models, the tangential stiffness remains almost constant in each cycle. Finally, for the innovative SPSW, a relationship was suggested to determine the shear capacity of the proposed steel wall relative to the wall slenderness coefficient.

Experimental assessment of post-earthquake retrofitted reinforced concrete frame partially infilled with fly-ash brick

  • Kumawat, Sanjay R.;Mondal, Goutam;Dash, Suresh R.
    • Earthquakes and Structures
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    • v.22 no.2
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    • pp.121-135
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    • 2022
  • Many public buildings such as schools, hospitals, etc., where partial infill walls are present in reinforced concrete (RC) structures, have undergone undesirable damage/failure attributed to captive column effect during a moderate to severe earthquake shaking. Often, the situation gets worsened when these RC frames are non-ductile in nature, thus reducing the deformable capability of the frame. Also, in many parts of the Indian subcontinent, it is mandatory to use fly-ash bricks for construction so as to reduce the burden on the disposal of fly-ash produced at thermal power plants. In some scenario, when the non-ductile RC frame, partially infilled by fly-ash bricks, suffers major structural damage, the challenge remains on how to retrofit and restore it. Thus, in this study, two full-scale one-bay, one-story non-ductile RC frame models, namely, bare frame and RC partially infilled frame with fly-ash bricks in 50% of its opening area are considered. In the previous experiments, these models were subjected to slow-cyclic displacement-controlled loading to replicate damage due to a moderate earthquake. Now, in this study these damaged frames were retrofitted and an experimental investigation was performed on the retrofitted specimens to examine the effectiveness of the proposed retrofitting scheme. A hybrid retrofitting technique combining epoxy injection grouting with an innovative and easy-to-implement steel jacketing technique was proposed. This proposed retrofitting method has ensured proper confinement of damaged concrete. The retrofitted models were subjected to the same slow cyclic displacement-controlled loading which was used to damage the frames. The experimental study concluded that the hybrid retrofitting technique was quite effective in enhancing and regaining various seismic performance parameters such as, lateral strength and lateral stiffness of partially fly-ash brick infilled RC frame. Thus, the steel jacketing retrofitting scheme along with the epoxy injection grouting can be relied on for possible repair of the structural members which are damaged due to the captive column effect during the seismic shaking.

Deep Learning for Classification of High-End Fashion Brand Sensibility (딥러닝을 통한 하이엔드 패션 브랜드 감성 학습)

  • Jang, Seyoon;Kim, Ha Youn;Lee, Yuri;Seol, Jinseok;Kim, Seongjae;Lee, Sang-goo
    • Journal of the Korean Society of Clothing and Textiles
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    • v.46 no.1
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    • pp.165-181
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    • 2022
  • The fashion industry is creating innovative business models using artificial intelligence. To efficiently utilize artificial intelligence (AI), fashion data must be classified. Until now, such data have been classified focusing only on the objective properties of fashion products. Their subjective attributes, such as fashion brand sensibilities, are holistic and heuristic intuitions created by a combination of design elements. This study aims to improve the performance of collaborative filtering in the fashion industry by extracting fashion brand sensibility using computer vision technology. The image data set of fashion brand sensibility consists of high-end fashion brand photos that share sensibilities and communicate well in fashion. About 26,000 fashion photos of 11 high-end fashion brand sensibility labels have been collected from the 16FW to 21SS runway and 50 years of US Vogue magazines beginning from 1971. We use EfficientNet-B1 to establish the main architecture and fine-tune the network with ImageNet-ILSVRC. After training fashion brand sensibilities through deep learning, the proposed model achieved an F-1 score of 74% on accuracy tests. Furthermore, as a result of comparing AI machine and human experts, the proposed model is expected to be expanded to mass fashion brands.

A Study on Employee Reward in Construction Companies Using Activity-Based Costing (활동기준원가계산을 이용한 건설기업의 직원 보상에 관한 연구)

  • Cho, Jin-Ho;Kim, Byung-Soo
    • Land and Housing Review
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    • v.13 no.2
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    • pp.125-139
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    • 2022
  • For construction companies to become competitive innovative, cost management as well as process improvement are required. Activity-based costing (ABC), which uses cost information to support long-term decision-making, is a tool that enhances a company's competitiveness. In this study, we compare and analyze tradition-based costing (TBC) and ABC to confirm the adequacy of performance-based costing. In addition, we will empirically examine the relationship between the impact of the reward system using ABC on employee satisfaction and involvement. In research results, the influence of the reward system on employee involvement appeared in the order of intrinsic reward (𝛽 = 0.338) and extrinsic reward (𝛽 = 0.308). In addition, the reward system showed positive (+) effects on employee satisfaction, with influence appearing in the order of intrinsic reward (𝛽 = 0.360) and extrinsic reward (𝛽 = 0.337). And employee satisfaction (𝛽 = 0.225) had a positive effect on involvement. We were able to confirm that it is necessary to build a reward system consisting of intrinsic and extrinsic rewards to increase employee satisfaction and involvement.

Image Steganography for Hiding Hangul Messages in Hybrid Technique using Variable ShiftRows (가변 ShiftRows를 이용한 하이브리드 기법에서 한글 메시지 은닉을 위한 이미지 스테가노그래피)

  • Ji, Seon-su
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.15 no.4
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    • pp.217-222
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    • 2022
  • Information plays an important role in modern society. Most of the information is processed and moved in the digital space. In cyberspace, confidential communication based on resistance and security is fundamental. It is essential to protect the information sent and received over the network. However, information may be leaked and forged by unauthorized users. The effectiveness of the existing protection system decreases as an innovative technique is applied to identify the communication contents by a third party. Steganography is a technique for inserting secret information into a specific area of a medium. Stegganography and steganalysis techniques are at odds with each other. A new and sophisticatedly implemented system is needed to cope with the advanced steganalysis. To enhance step-by-step diffusion and irregularity, I propose a hybrid implementation technique of image steganography for Hangul messages based on layered encryption and variable ShiftRows. PSNR was calculated to measure the proposed steganography efficiency and performance. Compared to the basic LSB technique, it was shown that the diffusion and randomness can be increased even though the PSNR decreased by 1.45%.

A Study on the Development of Traffic Volume Estimation Model Based on Mobile Communication Data Using Machine Learning (머신러닝을 이용한 이동통신 데이터 기반 교통량 추정 모형 개발)

  • Dong-seob Oh;So-sig Yoon;Choul-ki Lee;Yong-Sung CHO
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.22 no.4
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    • pp.1-13
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    • 2023
  • This study develops an optimal mobile-communication-based National Highway traffic volume estimation model using an ensemble-based machine learning algorithm. Based on information such as mobile communication data and VDS data, the LightGBM model was selected as the optimal model for estimating traffic volume. As a result of evaluating traffic volume estimation performance from 96 points where VDS was installed, MAPE was 8.49 (accuracy 91.51%). On the roads where VDS was not installed, traffic estimation accuracy was 92.6%.