• Title/Summary/Keyword: 설계변경 유형

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Independent Firmware Design to Reduce Device Heterogeneity in LAN WAS for IoT Environment (IoT 환경을 위한 Local WAS에서 디바이스 이질성을 줄이는 독립적인 Firmware 설계)

  • Kyung-Ho Lee;Eun-Ah Moon
    • The Journal of the Korea institute of electronic communication sciences
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    • v.18 no.5
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    • pp.803-808
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    • 2023
  • The IoT industry is growing at a record growth rate every year, but developers face practical problems such as security, data storage, and heterogeneity between devices before developing an IoT platform. In particular, heterogeneity between devices occurs due to network type and protocol, and device firmware must be changed or multiple IoT platforms must be used in some cases. In addition, data is wasted due to redundant sensing due to the overflow of indiscriminate IoT devices. In this paper, we propose a device-independent firmware design to solve the heterogeneity between devices in the IoT platform environment where Local WAS uses the MQTT protocol.

Design and Implementation for Korean Character and Pen-gesture Recognition System using Stroke Information (획 정보를 이용한 한글문자와 펜 제스처 인식 시스템의 설계 및 구현)

  • Oh, Jun-Taek;Kim, Wook-Hyun
    • The KIPS Transactions:PartB
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    • v.9B no.6
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    • pp.765-774
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    • 2002
  • The purpose of this paper is a design and implementation for korean character and pen-gesture recognition system in multimedia terminal, PDA and etc, which demand both a fast process and a high recognition rate. To recognize writing-types which are written by various users, the korean character recognition system uses a database which is based on the characteristic information of korean and the stroke information Which composes a phoneme, etc. In addition. it has a fast speed by the phoneme segmentation which uses the successive process or the backtracking process. The pen-gesture recognition system is performed by a matching process between the classification features extracted from an input pen-gesture and the classification features of 15 pen-gestures types defined in the gesture model. The classification feature is using the insensitive stroke information. i.e., the positional relation between two strokes. the crossing number, the direction transition, the direction vector, the number of direction code. and the distance ratio between starting and ending point in each stroke. In the experiment, we acquired a high recognition rate and a fart speed.

Design of Component Based Web-casting System for Real-Time Internet Broadcasting (실시간 인터넷 방송을 위한 컴포넌트 기반의 웹캐스팅 시스템 설계)

  • Chung, Won-Ho
    • Journal of Korea Multimedia Society
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    • v.12 no.1
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    • pp.69-84
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    • 2009
  • In this paper, a real-time web-casting framework for many individuals or small organizations imploring internet broadcasting, is designed and implemented. It is the purpose of the proposed framework that any individual can easily construct his own broadcast station if he has minimum facility for the content transmission to the framework. This type of system should have a flexible architecture to be applicable in wide variation of operational environment. Since the proposed framework follows a component-based hierarchical structure consisting of 3 types of components, it can effectively cope with change of internal or external operational environment by simple modification of the associated component with the change. Also, various types of target application systems in the aspects of cost and performance can be constructed in accordance with how to associate upper layer components with hardware platforms. A real prototype system based on the proposed framework is implemented, and then the response delay time is measured under varying number of content productions and content receivers. The results show that the response delay time follows M/M/1 model, which is one of the well-known performance models, and the implemented system may accommodate from 16 to 20 productions.

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Implementation of Git's Commit Message Classification Model Using GPT-Linked Source Change Data

  • Ji-Hoon Choi;Jae-Woong Kim;Seong-Hyun Park
    • Journal of the Korea Society of Computer and Information
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    • v.28 no.10
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    • pp.123-132
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    • 2023
  • Git's commit messages manage the history of source changes during project progress or operation. By utilizing this historical data, project risks and project status can be identified, thereby reducing costs and improving time efficiency. A lot of research related to this is in progress, and among these research areas, there is research that classifies commit messages as a type of software maintenance. Among published studies, the maximum classification accuracy is reported to be 95%. In this paper, we began research with the purpose of utilizing solutions using the commit classification model, and conducted research to remove the limitation that the model with the highest accuracy among existing studies can only be applied to programs written in the JAVA language. To this end, we designed and implemented an additional step to standardize source change data into natural language using GPT. This text explains the process of extracting commit messages and source change data from Git, standardizing the source change data with GPT, and the learning process using the DistilBERT model. As a result of verification, an accuracy of 91% was measured. The proposed model was implemented and verified to ensure accuracy and to be able to classify without being dependent on a specific program. In the future, we plan to study a classification model using Bard and a management tool model helpful to the project using the proposed classification model.

A System Development of Quantity Data Type Analysis for BIM based Automation of Estimation Framework (BIM기반 견적자동화 체계구축을 위한 물량 데이터 유형 분석 체계 개발)

  • Lee, Jae-Joon;Shin, Tae-Hong;Kim, Seong-Ah;Kang, Myung-ku;Chin, Sang-Yoon
    • Proceedings of the Korean Institute Of Construction Engineering and Management
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    • 2008.11a
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    • pp.744-747
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    • 2008
  • Quantity information focused on a design drawing plays a critical role in a decision making related to cost for project participants during project life cycles. Related participants absolutely depend on quantity take-off working which produces the quantity information by hand, and then a worker's mistake often causes many errors. The difference of quantity by the know-how of the person in charge of the estimation also occurs. In addition, the worker passes through the whole quantity take-off processes again in case of re-working for quantity take-off produced by a change order. The requirements about the automated estimation increase because of the needs for the accurate quantity take-off and dealing with the change order and recently, the studies about the automated estimation working process based on 34 cad model from 3d cad modeler are attempted in various viewpoints. However, the existing studies reach the limits such as common quantity data type framework for getting Quantity information. Focused on a certain 34 cad modeler and BIM based automation of estimation using it Therefore, the objective of this study is to develop the a series of system which can extract, analyze, and verify Quantity Data Type in modeler to automate quantity take-off originated from various 3d cad modelers as a foundation study for BIM based automation of estimation framework.

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Improvement Plan for Planting Large Trees in Artificial Ground of the Apartment Complex (공동주택 인공지반 대형교목 식재 개선방안)

  • Kang, Myung-Soo;Kim, Nam-Jung
    • Land and Housing Review
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    • v.6 no.4
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    • pp.221-229
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    • 2015
  • Large trees in the apartment complex are playing an important role to decide the quality of external environment. They are planted with the object of utilizing themselves as a landmark of the complex and enhancing space symbolism. Since planting large trees would require high maintenance costs and generate defect, it would cause decline in quality of external environment. This study researches on large trees in artificial ground of the apartment complex. This study analyzes actual condition of planting and tries to provide improvement direction of planting. In order to conduct this research, three target areas (over R30) and 265 trees are selected. Based on the drawings and specifications this study researches on the plan of landscape design, changes of field design, actual condition of completion, present condition of planting, minimum soil depth of growth and development and types of extra action for soil depth. The result shows that 85% of drawings and specifications for large trees in the apartment complex are deep-rooted tree species. On average large trees with R 35 are planted in artificial ground and there is lack of on average 65cm minimum soil depth of growth and development. Reviewing changes of field design is conducted in such limited size as mainly R30 and R40 and there is no extra plan for lack of soil depth. The plan for securing additional soil depth is done by 85% of mounding. However, since there is only 10% of satisfaction, the inappropriateness in securing additional soil is pointed out. This research also points out that the size of large trees, root characteristics and location-allocation for planting are pivotal factors for securing minimum soil depth of growth and development. This research also provides improvement direction in case of planning planting.

Information Breakdown Structure of Engineering Phase for Plant Project through Business Analysis (산업설비 업무 분석을 통한 설계단계 정보 분류체계)

  • Song, Young-Woongl;Cho, Hang-Min;Choi, Yoon-Ki
    • Korean Journal of Construction Engineering and Management
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    • v.10 no.5
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    • pp.3-15
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    • 2009
  • Recently, it has increased projects in the Oil and Gas industry as growing plant of overseas construction market. Therefore, domestic companies need to set some aggressive plans up that secure competitiveness of international plant business such as enhancing productivity, technological ability and statistical management. Specifically in the Oil and Gas industry of overseas plant business requires implying information in EPC (Engineering, Procurement and Construction, below EPC) more, but it has not been suggested an appropriate breakdown system for contents that manages the information each EPC phase, which lead to problems such as revision of design document, occurring duplicated work and omissions of each participant. For these problems, we find market share decreasing and competitiveness running down. Thus, for increasing practical use of contents management system and construction industry's information, this paper suggests a contents breakdown system based on BPM (Business Process Management), defines business process and systematizing knowledge needed, and finally analyzing contents information that establish information among industrial facilities in Design phase which is the weakest part of domestic companies.

The Operation Analysis of Signalized Intersections Using ICU Method (ICU 방법을 활용한 신호교차로 운영분석)

  • Kim, Young Chan;Jeon, Jae Hyeon;Jeong, Young Je;Kim, Eun Jeoung
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.29 no.1D
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    • pp.41-48
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    • 2009
  • The capacity analysis of signalized intersection usually includes a HCM method used at home and abroad and a ICU method this study presents. The HCM method focuses on operation analysis measuring an intersection's delay in terms of given traffic volume, signal operation, and intersection structure data. This method includes planning and design analysis, but these analyses are complex due to being possible through repetitive operation analysis. However the ICU method is a powerful tool for planning and design analysis, because these are possible through brief traffic volume and geometry structure data and consider minimum green time. In this study, the authors studied the ICU method and compared the HCM and ICU by analyzing traffic volume scenarios. Also to consider effectiveness for application of the ICU method, the authors applied the ICU to capacity analysis of intersections on urban arterial for setting major intersection and effect analysis for changing crosswalk type, the number of lane, lane use and operation form of left turn. The result of the analyses shows that the ICU method can measure correct capacity of intersection consist of a broad road in urban area, and is effective for planning and design analysis. This study is expected that traffic experts can grasp correct intersection's capacity and carry out a proper planning or improvement by applying the ICU method to planning and design analysis.

A Study on SCR-based ESD Protection Circuit with High Holding Voltage and All-Direction Characteristics (높은 Holding Voltage 및 All-Direction 특성을 갖는 SCR 기반의 ESD 보호회로에 관한 연구)

  • Jin, Seung-Hoo;Do, Kyoung-Il;Woo, Je-Wook;Koo, Yong-Seo
    • Journal of IKEEE
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    • v.24 no.4
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    • pp.1156-1161
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    • 2020
  • In this paper, we propose a new ESD protection circuit with improved electrical characteristics through structural changes of the existing one-way SCR. The proposed ESD protection circuit has high holding voltage characteristics due to the inserted N+ floating and P+ floating regions, and thus the latch-up immunity characteristics are improved. In addition, structural change enables ESD discharge in four types of Zapping mode (PD, PS, ND, NS), and has superior area efficiency than unidirectional SCR. In addition, the P+ floating and N+ floating lengths corresponding to the base length of the parasitic bipolar transistor, and the distance between P+ floating and N+ floating were designated as design variables, and the high holding voltage was verified through Synopsys' TCAD Simulator.

Implementation of Git's Commit Message Complex Classification Model for Software Maintenance

  • Choi, Ji-Hoon;Kim, Joon-Yong;Park, Seong-Hyun
    • Journal of the Korea Society of Computer and Information
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    • v.27 no.11
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    • pp.131-138
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    • 2022
  • Git's commit message is closely related to the project life cycle, and by this characteristic, it can greatly contribute to cost reduction and improvement of work efficiency by identifying risk factors and project status of project operation activities. Among these related fields, there are many studies that classify commit messages as types of software maintenance, and the maximum accuracy among the studies is 87%. In this paper, the purpose of using a solution using the commit classification model is to design and implement a complex classification model that combines several models to increase the accuracy of the previously published models and increase the reliability of the model. In this paper, a dataset was constructed by extracting automated labeling and source changes and trained using the DistillBERT model. As a result of verification, reliability was secured by obtaining an F1 score of 95%, which is 8% higher than the maximum of 87% reported in previous studies. Using the results of this study, it is expected that the reliability of the model will be increased and it will be possible to apply it to solutions such as software and project management.