• Title/Summary/Keyword: Visual analysis

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Comparison of Insect Fauna in Transgenic and Common Rice Paddy Fields (형질전환 벼와 일반 벼간 곤충상 비교)

  • Park, Taechul;Choe, Hojeong;Jeong, Hyoujin;Jang, Hojung;Kim, Jukon;Park, Jung-Joon
    • Korean Journal of Environmental Biology
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    • v.36 no.4
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    • pp.488-497
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    • 2018
  • Quantitative classification of insect fauna in transgenic rice in 2 LMO(Living genetically Modified Organism) isolated paddy fields (Gyeongsang National University, Gyeongbuk National University) and rice in 4 paddy fields(Duryang 1, Duryang 2, Hwagye 1, Hwagye 2), were evaluated for consecutive 5 years (2013 to 2017) in Sacheon, Gyeongnam province, and for 2 consecutive years (2015 to 2016) in Gunwi Gyeongbuk province. Sampling insect fauna were evaluated by black light trapping, sticky trapping, visual surveying, and sweeping methods in each target paddy field, respectively. A total of 37,941 individuals, of 464 species from 15 orders, were collected in Sacheon for 5 years. A total of 10,030 individuals, of 366 species from 13 orders, were collected in Gunwi for 2 years. Based on results of comparison between transgenic and non-transgenic paddy fields for 5 consecutive years, the similarity index between LMO paddy field and common paddy field is not different. Thus, this difference is not due to the environment, not the LMO.

A Study on the Structural Features of the Joseon Royal Tomb Tumulus (조선왕릉 봉분의 구조적 특성에 대한 일고 - 문헌에 기록된 석실과 회격의 구조를 중심으로 -)

  • Jeon, Na Na
    • Korean Journal of Heritage: History & Science
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    • v.45 no.1
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    • pp.52-69
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    • 2012
  • This paper attempts to analyze the inner and outer structure of royal tombs that were built during the Joseon Period. This analysis is based on the relevant historical records and they were restored through visual composition in order to compare the features of Joseon royal tombs with those of Goryeo royal tombs and common tombs of the Joseon Period. Royal tombs of the Joseon Dynasty are structurally solid and contain a variety of artistic ornaments that symbolize guardian deities both inside and outside to protect the owners of the tombs for a long time. According to historical records such as Sejong sillok oryeui (Five Rites of State from the Annals of King Sejong) and Gukjo oryeui (Five Rites of State), it is presumed that the inner structure of royal tombs dating back to the early Joseon Period consisted of a stone chamber and that the byeongpungseok and nanganseok were built outside of the tomb. However, ever since King Sejo left it in his will not to make a stone chamber in his tomb, the royal tombs began to follow a new pattern, a burial pit outside the coffin filled with lime powder. Gukjo sangnye bopyeon (Supplement Book of the State Funeral Rites), which was compiled during the reign of King Yeongjo, is a book that shows how the royal tombs were formed in the late Joseon Period. The book explains in detail how lime powder was used to fill the burial pit of royal tombs. The byeongpungseok used during the late Joseon Period were engraved with peony flowers, while those previously made were engraved with twelve spirit warriors. Peony designs were frequently used to decorate the items of royal families, and the use of peony designs in tombs reflects the idea of regarding the royal tombs as an everyday living space for the deceased.

Effects of Game-based Postural Vertical Training on Pusher Behavior, Postural Control, and Activity of Daily Living in Patients With Acute Stroke: A Pilot Study (게임 기반의 자세수직 훈련이 급성 뇌졸중 환자의 밀기행동, 자세조절, 그리고 일상생활동작에 미치는 영향: 사전연구)

  • An, Chang-man;Roh, Jung-suk;Kim, Tack-hoon;Choi, Houng-sik;Choi, Kyu-hwan;Kim, Gyoung-mo
    • Physical Therapy Korea
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    • v.26 no.3
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    • pp.57-66
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    • 2019
  • Background: Visual and somatosensory integration processing is needed to reduce pusher behavior (PB) and improve postural control in hemiplegic patients with acute stroke. Objects: This study aimed to investigate the effects of game-based postural vertical training (GPVT) on PB, postural control, and activity daily living (ADL) in acute stroke patients. Methods: Fourteen participants with acute stroke (<2 months post-stroke) who had PB according to the Burke lateropulsion scale (BLS) (score>2) were randomly divided into the GPVT group ($n_1=7$) and conventional postural vertical training (CPVT) group ($n_2=7$). The GPVT group performed game-based postural vertical training using a whole-body tilt apparatus. while the CPVT group performed conventional postural vertical training to reduce PB (30 minutes/session, 2 times/day, 5 days/week for 3 consecutive weeks). The BLS was evaluated to assess the severity of PB. And each subject's postural control ability and ADL level were assessed using the postural assessment scale for stroke (PASS), balance posture ratio (BPR), and Korean-modified Barthel index (K-MBI). Outcomes were measured pre- and post-intervention. Results: Comparison of the pre- and post-intervention assessment results showed that both interventions led to the following significant changes: decreased severity of PB scores and increased PASS, BPR, and K-MBI scores (p<.05). In particular, statistical analysis between the two groups, the BLS score was significantly decreased in the GPVT group (p<.05). And PASS, BPR, and K-MBI scores were significantly improved in the GPVT group than in the CPVT group (p<.01, respectively). Conclusion: This study demonstrated that GPVT lessened PB severity and improved postural control ability and ADL levels in acute stroke patients.

Analysis of Automotive HMI Characteristics through On-road Driving Research (실차 주행 연구를 통한 차량별 HMI 특성 분석)

  • Oh, Kwangmyung
    • Journal of the HCI Society of Korea
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    • v.14 no.2
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    • pp.49-60
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    • 2019
  • With the appearance of self-driving cars and electric cars, the automobile industry is rapidly changing. In the midst of these changes, HMI studies are becoming more important as to how the driver obtains safety and convenience with controlling the vehicle. This study sought to understand how automobile manufacturers understand the driving situation, and how they define and limit driver interaction. For this, prior studies about HMI were reviewed and 15 participants performed an on-road study to drive vehicles from five manufacturers with using their interfaces. The results of the study confirmed that buttons and switches that are easily controlled by the user while driving were different from manufacturer to manufacturer. And there are some buttons that are more intensively controlled and others that are difficult to control while driving. It was able to derive 'selection and concentration' from Audi's vehicle, 'optimization of the driving ' from BMW's, 'simple and minimize' from Benz's vehicle, 'remove the manual distraction' from the vehicle of Lexus, and 'visual stability' from KIA's vehicle as the distinctive keywords for the HMI. This shows that each manufacturer has a different definition and interpretation of the driver's driving control area. This study has a distinct value in that it has identified the characteristics of vehicle-specific HMI in actual driving conditions, which is not apparent in appearance. It is expected that this research approach can be useful to see differences in interaction through actual driving despite changes in driving environment such as vehicle platooning and self-driving technology.

An Empirical Analysis of Influencing Factors on Success of Equity Crowdfunding: By Industry and Funding type (투자형 크라우드펀딩의 성공 영향 요인 실증분석: 업종과 유형별 분류를 중심으로)

  • Kim, Jong-Yun;Kim, Chul Soo
    • The Journal of Society for e-Business Studies
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    • v.24 no.3
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    • pp.35-51
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    • 2019
  • The two main goals of this study are to derive independent factors affecting the success rate of crowdfunding and to empirically analyze the variation of independent factors' effects on the success of crowdfunding by industry (Internet, culture/art, manufacturing/distribution), and funding type (stock type, bond type). To identify the success factors of crowdfunding for invigoration and strategic utilization, first, several variables were refined after interviews with experts and platform operators with investment experiences in numerous crowdfunding projects. Then, independent factors affecting project involvement were categorized as follows: a characteristic of project, participant activity, and enterprise. Also, the results derived from the influence of independent variables on crowdfunding after moderating effects were driven. Selected independent factors in this study are as follows: crowdfunding period, target amount, visual contents, minimum account money, number of comments, number of SNS followers, level of interest, financial Statement disclosure, investment attraction, venture company, intellectual property rights disclosure, and business operation period. Selected moderating factors in this study are as follows: industry (Internet, culture/art, manufacturing/distribution), and funding type (stock type, bond type). In conclusion, a discussion of the academical and practical implications and a suggestion of directions for further research are explained.

Visual analysis of attention-based end-to-end speech recognition (어텐션 기반 엔드투엔드 음성인식 시각화 분석)

  • Lim, Seongmin;Goo, Jahyun;Kim, Hoirin
    • Phonetics and Speech Sciences
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    • v.11 no.1
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    • pp.41-49
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    • 2019
  • An end-to-end speech recognition model consisting of a single integrated neural network model was recently proposed. The end-to-end model does not need several training steps, and its structure is easy to understand. However, it is difficult to understand how the model recognizes speech internally. In this paper, we visualized and analyzed the attention-based end-to-end model to elucidate its internal mechanisms. We compared the acoustic model of the BLSTM-HMM hybrid model with the encoder of the end-to-end model, and visualized them using t-SNE to examine the difference between neural network layers. As a result, we were able to delineate the difference between the acoustic model and the end-to-end model encoder. Additionally, we analyzed the decoder of the end-to-end model from a language model perspective. Finally, we found that improving end-to-end model decoder is necessary to yield higher performance.

The Development of IMG Integral Foaming Crashpad (IMG 발포일체성형 크래시패드 개발)

  • Choi, Sung-Sik;Kong, Byung-Seok;Park, Dong-Kyou
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.20 no.7
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    • pp.607-612
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    • 2019
  • The softness of the crashpad part is one of the important factors which affect the interior perceived quality of the vehicle interior. And while improving the softness of the crashpad part, every effort to lower the production cost has been going on. The PU foaming process for the crashpad part depends on the understanding of a lot of processes, tools and material properties. Therefore, to achieve the requirement of the customer for the interior part's visual quality, the integrated design techniques are investigated to correlate the processes, tool design, material design and the computer aided analysis. In this paper, IMG (In Mold Grain) designed concept is firstly developed to integrate the skin preforming, plastic injection molding of the substrate and the foaming process in a tool within reduced processes. Through the application of this technology, softness of crashpad is improved by 40% compared to the conventional vacuum molding method, and the existing process is reduced by 50% by integrating the injection process and the manufacturing process. And by integrating the injection mold and the skin mold and removing the foaming mold, the number of molds are reduced from 3 to 1, resulting in 20% reduction in the cost of applying a medium-sized passenger car.

Effect of Multimodal cues on Tactile Mental Imagery and Attitude-Purchase Intention Towards the Product (다중 감각 단서가 촉각적 심상과 제품에 대한 태도-구매 의사에 미치는 영향)

  • Lee, Yea Jin;Han, Kwanghee
    • Science of Emotion and Sensibility
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    • v.24 no.3
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    • pp.41-60
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    • 2021
  • The purpose of this research was to determine whether multimodal cues in an online shopping environment could enhance tactile consumer mental imagery, purchase intentions, and attitudes towards an apparel product. One limitation of online retail is that consumers are unable to physically touch the items. However, as tactile information plays an important role in consumer decisions especially for apparel products, this study investigated the effects of multimodal cues on overcoming the lack of tactile stimuli. In experiment 1, to explore the product, the participants were randomly assigned to four conditions; picture only, video without sound, video with corresponding sound, and video with discordant sound; after which tactile mental imagery vividness, ease of imagination, attitude, and purchase intentions were measured. It was found that the video with discordant sound had the lowest average scores of all dependent variables. A within-participants design was used in experiment 2, in which all participants explored the same product in the four conditions in a random order. They were told that they were visiting four different brands on a price comparison web site. After the same variables as in experiment 1, including the need for touch, were measured, the repeated measures ANCOVA results revealed that compared to the other conditions, the video with the corresponding sound significantly enhanced tactile mental imagery vividness, attitude, and purchase intentions. However, the discordant condition had significantly lower attitudes and purchase intentions. The dual mediation analysis also revealed that the multimodal cue conditions significantly predicted attitudes and purchase intentions by sequentially mediating the imagery vividness and ease of imagination. In sum, vivid tactile mental imagery triggered using audio-visual stimuli could have a positive effect on consumer decision making by making it easier to imagine a situation where consumers could touch and use the product.

A Study on Digital Healthcare Optometry System Using Optometry DB

  • Kim, Do-Yeon;Jung, Jin-Young;Kim, Yong-Man;Park, Koo-Rack
    • Journal of the Korea Society of Computer and Information
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    • v.26 no.9
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    • pp.155-166
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    • 2021
  • Recently, digital health care technology is spreading and developing in various fields. Therefore, in this paper, we realized that the field to which digital healthcare technology is not applied is the field of optometry, and implemented a digital healthcare optometry system for precise lens manufacturing. A device called Phoroptor is used to manufacture the lens, and this device sets the lens by measuring the visual acuity of the person who requested the glasses. And when the person to be measured wears glasses, a device called a PD meter is used to align the pupil center and lens focus. However, there is a limit to the convenience of precise lens production and optometry due to the absence of a database and program that can accumulate and analyze the PD measurement error, inconvenience and error due to manual control of the Phoroptor, and optometric information. Therefore, in this paper, PD meter design for more accurate PD measurement, Phoroptor design and Phoroptor control application design for automatic Phoroptor control, and a database and analysis program that automatically set lenses using optometry information for each subject had been designed. Based on this, ultimately, a digital healthcare optometry system using an optometry database has been implemented.

Clustering Performance Analysis of Autoencoder with Skip Connection (스킵연결이 적용된 오토인코더 모델의 클러스터링 성능 분석)

  • Jo, In-su;Kang, Yunhee;Choi, Dong-bin;Park, Young B.
    • KIPS Transactions on Software and Data Engineering
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    • v.9 no.12
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    • pp.403-410
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    • 2020
  • In addition to the research on noise removal and super-resolution using the data restoration (Output result) function of Autoencoder, research on the performance improvement of clustering using the dimension reduction function of autoencoder are actively being conducted. The clustering function and data restoration function using Autoencoder have common points that both improve performance through the same learning. Based on these characteristics, this study conducted an experiment to see if the autoencoder model designed to have excellent data recovery performance is superior in clustering performance. Skip connection technique was used to design autoencoder with excellent data recovery performance. The output result performance and clustering performance of both autoencoder model with Skip connection and model without Skip connection were shown as graph and visual extract. The output result performance was increased, but the clustering performance was decreased. This result indicates that the neural network models such as autoencoders are not sure that each layer has learned the characteristics of the data well if the output result is good. Lastly, the performance degradation of clustering was compensated by using both latent code and skip connection. This study is a prior study to solve the Hanja Unicode problem by clustering.