• Journal of Industrial Technology
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• v.19
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• pp.179-187
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• 1999

The computer pattern sewing machine is an automatic sewing machine that is controlled by an input pattern. Even a novice can run this machine for various tasks fast and reliably such as sewing a button, a belt ring and an airbag, etc. The pattern processing software, which is the main software of this machine, is for editing and modifying pattern data by online teaching or off-line editing, setting up parameters, and calculate a moving distance of working area on the x-y axes. In this paper we propose an algorithm to generate pattern data for sewing by simplifying image data. The pattern data are composed of outline data like dot, line, circle, arc, curve, etc. We need converting this data into sewing data which involve sewing parameter, moving distance of working are an the x-y axes, thread, spindle speed.

• Genomics & Informatics
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• v.6 no.3
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• pp.157-159
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• 2008

Multiple sequence alignment (MSA) is the most important step for many of biological sequence analyses, homology search, and protein structural assignments. However, large amount of data make biologists difficult to perform MSA analyses and it requires much computational time to align many sequences. Here, we have developed a simple and fast web alignment tool for aligning, editing, and visualizing large amount of sequence data. We used a cluster server installed ClustalW-MPI using web services and message passing interface (MPI). It also enables users to edit multiple sequence alignments for manual editing and to download the input data and results such as alignments and phylogenetic tree.

• Smart Media Journal
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• v.12 no.1
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• pp.17-23
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• 2023

Design-For-Security (DFS) methodology is to protect integrated circuits from physical attacks, and that can be implemented by adding a security circuit to detect abnormal external access. Among the abnormal accesses called invasive attack, microprobing and FIB circuit editing are classified as the most powerful methods because they have direct access. Microprobing deliberately inject defects into the wire of circuit through probes, or reads and changes data. FIB circuit editing is methods of reconnecting or destroying circuits to neutralize security circuits or to access data. Previous DFS methodology have responded to the attacks by detecting arrival time asymmetry between the two signals or by comparing input/output data based on encrypted communication. This study conducted to reduce hardware overhead, and the proposed circuit detects the reflected signal asymmetry generated through probe or FIB circuit editing and detects the attacks through comparison. Since the proposed security circuit reduces the size and test cycle of the circuit compared to previous studies, the cost used for security can be reduced.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.39 no.6
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• pp.363-369
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• 2021

High-definition road maps are used as the basic infrastructure for autonomous vehicles, so the latest road information must be quickly reflected. However, the current drawing and structural editing process of high-definition road maps are manually performed. In addition, it takes the longest time to generate road lanes, which are the main construction targets. In this study, the point cloud of the road lane markings, in which color types(white, blue, and yellow) were predicted through the PointNet model pre-trained in previous studies, were used as input data. Based on the point cloud, this study proposed a methodology for automatically drawing and structural editing of the layer of road lane markings. To verify the usability of the 3D vector data constructed through the proposed methodology, the accuracy was analyzed according to the quality inspection criteria of high-definition road maps. In the positional accuracy test of the vector data, the RMSE (Root Mean Square Error) for horizontal and vertical errors were within 0.1m to verify suitability. In the structural editing accuracy test of the vector data, the structural editing accuracy of the road lane markings type and kind were 88.235%, respectively, and the usability was verified. Therefore, it was found that the methodology proposed in this study can efficiently construct vector data of road lanes for high-definition road maps.

• 전기의세계
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• v.26 no.6
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• pp.72-77
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• 1977

This paper deals with developments of computer programs for college academic affairs using key-punch and optical mark reading card. In order to speed up reading input card, at first O.M.R-Binary conversion is done and written on tape, and then Binary-Edit conversion is performed, so that name rolls of students can be printed within a few days after register at the beginning of the semister. Student's scores, records and various statistics are obtained accurately and quickly by updating, editing and inserting by computer programs developed.

• Journal of Intelligence and Information Systems
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• v.29 no.4
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• pp.15-30
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• 2023

Recently, various services using artificial intelligence(AI) are emerging in the media field as well However, most of the video editing, which involves finding an editing point and attaching the video, is carried out in a passive manner, requiring a lot of time and human resources. Therefore, this study proposes a methodology that can detect the edit points of video according to whether person in video are spoken by using Video Swin Transformer. First, facial keypoints are detected through face alignment. To this end, the proposed structure first detects facial keypoints through face alignment. Through this process, the temporal and spatial changes of the face are reflected from the input video data. And, through the Video Swin Transformer-based model proposed in this study, the behavior of the person in the video is classified. Specifically, after combining the feature map generated through Video Swin Transformer from video data and the facial keypoints detected through Face Alignment, utterance is classified through convolution layers. In conclusion, the performance of the image editing point detection model using facial keypoints proposed in this paper improved from 87.46% to 89.17% compared to the model without facial keypoints.

• 한국HCI학회:학술대회논문집
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• 2008.02b
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• pp.424-429
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• 2008

The purpose of this research is to suggest a competitive design by producing functions and elements needed to users based on a research about device use and needs according to user behavior. We proceeded to the research aiming a design smart document-editing device design which can be used for business regardless of place (at office or home), targeting reasonable and individualistic users from twenties to thirties. By some ways for that, first, we selected target users and based on user interviews to get enough understanding for them. Second, we produced user needs by some troubles after establishing persona and deciding target users on the basis of the research. Third, we designed form-factor visualizing work, organized design spec by the produced concept, and we developed interaction design on the basis of this scenario. Fourth, we made paper prototype and conducted user test. As a result, our final design emphasizes mobile ability and simplicity to be suitable for reasonable individualism and is able to efficiently work input, editing, and output without complicated procedure. We could also prove the validity of the design through usability test.

• Journal of the Korean Society for Industrial and Applied Mathematics
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• v.10 no.2
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• pp.53-66
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• 2006

Recent technique has shown high interest in 3D stereoscopic image, one out of high immersion appearance techniques. Unlike general 2D image, 3D stereoscopic image is generated by 3D geometric information. Therefore, the lack of 3D geometric information sometimes imposes restrictions or makes editing more tedious. We propose a new unsupervised technique aimed to generate stereoscopic image which is estimated by depth-map information using image-based modeling from a single input image. The proposed system is implemented as the Adobe Photoshop(R) plug-in for considering generality and expandability, and also supports a preview function of interactive 3D stereoscopic image to determine stereoscopic view of high quality.

• Journal of the Korean Home Economics Association
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• v.44 no.2 s.216
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• pp.127-135
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• 2006

This paper suggests guidelines for virtual clothes modeling and draping software suitable for clothes designers. We first analyze Maya Cloth, which is widely used in game and animation fields, and which has been adopted by Pad System as a 3D cloth draping system. We then discuss what functions and procedures would improve Maya Cloth to assist designers in being able to create the clothes they have conceptualized. While Maya Cloth has many good functions and features forvirtual cloth modeling and draping, it treats input 2D patterns as approximat and it creates 3D clothes by considering other factors such as the 3D body model. As a result, it is hard for clothes designers to control the shape of the 3D clothes by changing 2D patterns. Furthermore, Maya Cloth does not handle seamlines satisfactorily. We suggest that the following new features should be added to Maya Cloth : respecting the input 2D patterns, handling seamlines, and controlling the shape of the clothes in 3D space.

• Journal of the Korea Computer Graphics Society
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• v.18 no.1
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• pp.1-9
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• 2012

Video-based modeling / rendering developed to produce photo-realistic video contents have been one of the important research topics in computer graphics and computer visions. To smoothly combine original input video clips and 3D graphic models, geometrical information of light sources and cameras used to capture a scene in the real world is essentially required. In this paper, we present a simple technique to estimate the position and orientation of an optimal light source from the topology of objects and the silhouettes of shadows appeared in the original video clips. The technique supports functions to generate well matched shadows as well as to render the inserted models by applying the estimated light sources. Shadows are known as an important visual cue that empirically indicates the relative location of objects in the 3D space. Thus our method can enhance realism in the final composed videos through the proposed shadow generation and rendering algorithms in real-time.