• 한국멀티미디어학회논문지
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• 제8권1호
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• pp.128-136
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• 2005

본 논문에서는 글로벌 전자상거래를 위해 기존의 다양한 형식의 문서들을 XML 문서로의 변환을 지원하고, 프레임워크 변경 및 수정에 따른 유연성 을 제공하는 ebXML기반 e-비즈니스 프레임워크를 위한 범용 문서저장 관리기를 설계하고 구현하였다. 또한, 레거시 시스템 (Legacy Systems)들간의 상호연동을 위한 어댑터를 설계함으로써, 수작업으로 진행되던 문서변환 작업들을 자동화하였다. 이에 따라, 본 논문에서 개발한 범용 문서저장 관리기를 통해 이질적인 프레임워크간의 상호 협력적 전자상거래를 지원하고, 이러한 환경하에서 운영되는 국내외 전자상거래 시스템을 통합하여 글로벌 e-business 솔루션으로 활용 가능하다.

• 한국정밀공학회지
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• 제33권1호
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• pp.77-83
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• 2016

Intricate deflection requires many conventional actuators (motors, pistons etc.), which can be financially and spatially wasteful. Novel smart soft composite (SSC) actuators have been suggested, but fabrication complexity restricts their widespread use as general-purpose actuators. In this study, a hybrid manufacturing process comprising 3-D printing and casting was developed for automated fabrication of SSC actuators with $200{\mu}m$ precision, using a 3-D printer (3DISON, ROKIT), a simple polymer mixer, and a compressor controller. A method to improve precision is suggested, and the design compensates for deposition and backlash errors (maximum, $170{\mu}m$). A suitable flow rate and tool path are suggested for the polymer casting process. The equipment and process costs proposed here are lower than those of existing 3D printers for a multi-material deposition system and the technique has $200{\mu}m$ precision, which is suitable for fabrication of SSC actuators.

• 한국복합재료학회:학술대회논문집
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• 한국복합재료학회 2003년도 춘계학술발표대회 논문집
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• pp.139-142
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• 2003

As composite materials are gaining wide acceptance in aircraft structure, repair of damaged composite is becoming an important issue. The issues in composite repair include high cost, material interchangeability, water ingression, and structural integrity. To address these problems, researchers have studied on the composite repair in various aspects. In this paper, an Internet-based advisory service (called Repair Advisory Service, RAS) for composite repair is proposed to increase efficiency for repair process. In the RAS system the web browser is used as its user interface, which provides easy access to the service. The RAS server provides web-based tools for failure prediction, Structural Repair Manual (SRM), automated prepreg cutting process, material properties, inventory and knowledge base. The computer codes implemented for repair design estimate the tensile failure and shear failure of repaired structures. The prediction of failure is based on the maximum strain criterion for tensile failure while elastic-perfect plastic shear failure model is applied for interfacial failure. The OEM's SRM is provided in the PDF format for viewing and searching by web browsers instead of looking up paper version SRM. The knowledge base in this site offers a room to share and distribute ideas, memos, publications, or suggestions from the repair engineers. The fabrication tool of RAS reads repair geometry from engineers then generates a CNC toolpath to cut prepreg patches. The RAS service is open to public and available at http://nano.gsnu.ac.kr/. Broad feedback from field technicians and engineers is welcome to improve the usefulness of RAS.

• Journal of Construction Engineering and Project Management
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• 제5권4호
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• pp.16-22
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• 2015

This paper presents an automated computer vision-based system to update BIM data by leveraging multi-modal visual data collected from existing buildings under inspection. Currently, visual inspections are conducted for building envelopes or mechanical systems, and auditors analyze energy-related contextual information to examine if their performance is maintained as expected by the design. By translating 3D surface thermal profiles into energy performance metrics such as actual R-values at point-level and by mapping such properties to the associated BIM elements using XML Document Object Model (DOM), the proposed method shortens the energy performance modeling gap between the architectural information in the as-designed BIM and the as-is building condition, which improve the reliability of building energy analysis. Several case studies were conducted to experimentally evaluate their impact on BIM-based energy analysis to calculate energy load. The experimental results on existing buildings show that (1) the point-level thermography-based thermal resistance measurement can be automatically matched with the associated BIM elements; and (2) their corresponding thermal properties are automatically updated in gbXML schema. This paper provides practitioners with insight to uncover the fundamentals of how multi-modal visual data can be used to improve the accuracy of building energy modeling for retrofit analysis. Open research challenges and lessons learned from real-world case studies are discussed in detail.

• 대한기계학회논문집A
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• 제32권10호
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• pp.844-849
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• 2008

We present a novel cell deformability monitoring chip based on the digitally measured cell lysis rate which is dependent on the areal strain of the cell membrane. This method offers simple cell deformability monitoring by automated high-throughput testing system. We suggest the filter design considering the areal strain imposed on the cell membrane passing through the filter array having gradually increased orifice length. In the experiment using erythrocytes, we characterized the cell deformability in terms of average fracture areal strain which was $0.24{\pm}0.014\;and\;0.21{\pm}0.002$ for normal and chemically treated erythrocytes, respectively. We also verified that the areal strain of 0.15 effectively discriminates the deformability difference of normal and chemically treated erythrocytes, which can be applied to the clinical situation. We compared the lysis rates and their difference for the samples from different donors and found that the present chips can be commonly used without any calibration process. The experimental results demonstrate the simple structure and high performance of the present cell deformability monitoring chips, applicable to simple and cost-effective cell aging process monitoring.

• 디지털산업정보학회논문지
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• 제10권1호
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• pp.73-79
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• 2014

In this study, the unmanned vehicle to develop a preliminary step, we were facilities for Automated Guided Vehicle (AGV) simulator is designed and implemented. Industry is increasingly the more advanced automation and management systems need to be efficient. These studies are at least 24-hour continuous unmanned vehicles and personnel can result in reduction of labor costs. In addition, safety accidents can be minimized in the industry as an effect of intelligent AGV is essential. This study is the initial step for the development of AGV. manufactured simulator to Simulation and drives the performance of the system is evaluated. The configuration of the simulator, ultrasonic sensors, infrared sensors, and using the obstacle were to follow a given path. In addition, two-way communication between the host computer and the main processor that was. communication method that IEE802.11 meets the standard is applied to high-speed wireless LAN systems, each of the sensor information is calculated. AGV having a drive shaft 4 of the four wheels are respectively independent structure. AGV's main processor is driven using a high-performance DSP, and the controller controls the steering device of the load could be significantly reduced.

• 대한가정학회지
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• 제36권11호
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• pp.141-156
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• 1998

The purpose of this study was to investigate current QR technology usages and merchandisers' roles and information activities in the Korean apparel industry. Data were collected by interview and questionnaire with merchandisers in apparel companies, manufacturing apparels for both men and women. Statistical analyses were t-test, ANOVA, frequency with SAS program. The results of the study were as follows: 1. The usage of QR technology was generally low. But POS, bar-coding, logistics and small lot order were highly used compared to other technologies. CAD, automated sewing operation, unit product system, logistics, and small lot order were more used in domestic national brand than in import license brand. POS applications were more used in product planning division than in others. 2. Merchandisers played important roles in making major decisions on cost price, sales price, manufacturing request, delivery data, production quantity, produce mix, budget planning, market timing and delivery channels. Products planning was conducted mostly on a monthly basis. Price was determined mainly according to cost price, while the production quantity depended on the last year's sales. Usually sales were analyzed on a daily basis. 3. Merchandisers got more information on fashion them and color trend from foreign information sources than from domestic, while more information on fabrication from domestic sources. For fashion design information they used the equal amount from domestic and foreign sources. Over all degree of utilization in each field of fashion information was fugured rather high.

• 한국항해항만학회:학술대회논문집
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• 한국항해항만학회 2006년도 International Symposium on GPS/GNSS Vol.1
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• pp.21-26
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• 2006

This paper focuses on modeling and predicting differential GPS corrections transmitted by marine radio-beacon systems using artificial neural networks. Various neural network structures with various training algorithms were examined, including Linear, Radial Biases, and Feedforward. Matlab Neural Network toolbox is used for this purpose. Data sets used in building the model are the transmitted pseudorange corrections and broadcast navigation message. Model design is passed through several stages, namely data collection, preprocessing, model building, and finally model validation. It is found that feedforward neural network with automated regularization is the most suitable for our data. In training the neural network, different approaches are used to take advantage of the pseudorange corrections history while taking into account the required time for prediction and storage limitations. Three data structures are considered in training the neural network, namely all round, compound, and average. Of the various data structures examined, it is found that the average data structure is the most suitable. It is shown that the developed model is capable of predicting the differential correction with an accuracy level comparable to that of beacon-transmitted real-time DGPS correction.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제9권10호
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• pp.4191-4203
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• 2015

WebView is a vital component in smartphone platforms like Android, Windows and iOS that enables smartphone applications (apps) to embed a simple yet powerful web browser inside them. WebView not only provides the same functionalities as web browser, it, more importantly, enables a rich interaction between apps and webpages loaded inside the WebView. However, the design and the features of WebView lays path to tamper the sandbox protection mechanism implemented by browsers. As a consequence, malicious attacks can be launched either against the apps or by the apps through the exploitation of WebView APIs. This paper presents a critical attack called Supplementary Event-Listener Injection (SEI) attack which adds auxiliary event listeners, for executing malicious activities, on the HTML elements in the webpage loaded by the WebView via JavaScript Injection. This paper also proposes an automated static analysis system for analyzing WebView embedded apps to classify the kind of vulnerability possessed by them and a solution for the mitigation of the attack.

• 스마트미디어저널
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• 제7권3호
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• pp.16-21
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• 2018

이 논문은 양파 밭에서 딥러닝 기반 자동 잡초 검출기의 설계 및 구현을 제시합니다. 이 시스템은 컨볼루션 뉴럴 네트워크를 기반으로 제안 된 영역을 선택합니다. 검출기는 양파 밭에서 직접 찍은 데이터 셋을 가지고 훈련됩니다. 학습이 완료 된 후에, 잡초가 될 확률이 매우 높은 후보 지역을 잡초로 간주합니다. Non-maximum suppression을 통해 오버랩된 박스가 최대한 적게 남게 됩니다. 다른 양파 농장을 통해 수집된 데이터를 통해 제안 된 분류기를 평가합니다. 분류 정확도는 고려 된 데이터 셋에서 약 99%를 보여주며, 제안된 방법이 양파 밭에서 잡초 검출과 관련하여 우수한 성능을 나타냄을 알 수 있습니다.