• KSII Transactions on Internet and Information Systems (TIIS)
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• 제7권5호
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• pp.1272-1290
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• 2013

Privacy-preserving collaborative filtering schemes are becoming increasingly popular because they handle the information overload problem without jeopardizing privacy. However, they may be susceptible to shilling or profile injection attacks, similar to traditional recommender systems without privacy measures. Although researchers have proposed various privacy-preserving recommendation frameworks, it has not been shown that such schemes are resistant to profile injection attacks. In this study, we investigate two memory-based privacy-preserving collaborative filtering algorithms and analyze their robustness against several shilling attack strategies. We first design and apply formerly proposed shilling attack techniques to privately collected databases. We analyze their effectiveness in manipulating predicted recommendations by experimenting on real data-based benchmark data sets. We show that it is still possible to manipulate the predictions significantly on databases consisting of masked preferences even though a few of the attack strategies are not effective in a privacy-preserving environment.

• 한국산학기술학회논문지
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• 제2권2호
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• pp.101-106
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• 2001

사출성형 제품 및 금형설계를 위한 통합형 CAD시스템이 연구되었다. 현존하는 CAD시스템은 주로 기하학적 모델링 기능만을 제공하고 있으나 본 연구에서는 제품설계, 금형설계, 몰드베이스 선정, 공정설계를 통합하여 설계할 수 있도록 CAD/CAPP/CAE를 연계한 설계시스템을 구성하였다. 특징형상 기법을 비롯하여 다양한 방법론이 시스템 구성을 위해 연구되었다. 이러한 통한형 설계시스템은 동시설계를 위해 유용하게 사용될 수 있는 진전된 개념의 설계시스템이다.

• 한국분무공학회지
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• 제7권4호
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• pp.9-15
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• 2002

Convolution Fourier transformation tomographically reconstructs the spatially resolved spray injection rate from direct measuring cells. Asymmetric sprays generated from a twin-hole air shroud injector are tested with 12 equiangular projections of measurements. For each projection angle, line of sight integrated injection rate was measured at 35 positions with equal spacing measuring cells of 3 mm in width, 100 mm in length, 55 mm in depth and 0.5 mm thickness of separating wall. Interpolated data between the projection angles effectively increase the number of projections, which significantly enhances the signal-to-noise level in the reconstructed data. This modified convolution Fourier transformation scheme predicts well the structure of asymmetric sprays. Comparative study has been made between sprays with and without air shrouding. Tomograhpic reconstruction of injection rate from direct measuring cells obtained can be used to estimate the accuracy of volume fraction of spray from the LDPA tomographic reconstruction.

• 한국정밀공학회지
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• 제16권11호
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• pp.224-233
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• 1999

The quality of injection molded parts is affected by the variables such as materials, design variables of part and mold, molding machine, and processing conditions. It is difficult to consider all the variables at the same time to predict the quality. In this paper neural network was applied to analyze the relationship between processing conditions and volumetric shrinkage of part. Engineering plastic gear was used for the study, and the learning data was extracted by the simulation software like Moldflow. Results of neural network was good agreement with simulation results. Nonlinear regression model was formulated using the test data of 3,125 obtained from neural network, Optimal processing conditions were calculated to minimize the volumetric shrinkage of molded part by the application of RQP(Recursive Quadratic Programming) algorithm.

• 한국기계기술학회지
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• 제20권6호
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• pp.824-829
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• 2018

Molding is the root industry of the manufacturing as a means to mass-produce developed prototypes. Molds are typically divided into injection molds and press mold industries. Injection molds produce the products by injection of molten plastic into a mold, and press molds are molded and bended plate. The ejection system, such as eject pins, is used to separate the manufactured products from the mold, which involves a number of hole operations. Location, diameter and depth of holes are often tabulated and managed collectively when designing 2D drawings. The design efficiency was realized by applying CATIA Automation to the 3D model and bringing in the data of the holes in the Excel data.

• 시스템엔지니어링학술지
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• 제17권2호
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• pp.1-8
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• 2021

This study proposes a systems engineering approach for the development of an advanced planning & scheduling (APS) system for a cosmetic case manufacturing factory. The APS system makes production plans and schedules based on the injection process, which consists of 27 plastic injection machines in parallel to control recommended inventory of products. The system uses machine operation/failure information and defective product/work-in-process tracking information to support intelligent scheduling. Furthermore, a genetic algorithm model is applied to handle the complexity of heuristic rules and machine/quality constraints in this process. As a result of the development, the recommended inventory compliance rate is improved by scheduling the 30-day production plan for 15 main products.

• 대한간호학회지
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• 제36권6호
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• pp.976-982
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• 2006

Purpose: The purpose of this study was to compare the feeling state guided imagery(FSGI) and end state guided imagery(ESGI) on stress and performance of an intramuscular injection of nursing students. Method: The design was a time series with a nonequivalent control group pretest-posttest study. Data was collected from the 23 rd to the 25th of Nov. 2004. The subjects of this study were 40 female sophomores (21 for the ESGI, 19 for the FSGI). The instruments used in this study were the Visual Analogue Scale for Stress and the Nursing Skill Performance Check-list on Intramuscular Injection developed by the researchers(10 items). Guided imagery was provided through audiotapes for 8 minutes. A pretest was given before applying the guided imagery, posttest 1 was performed after the intervention, posttest 2 was performed before the intramuscular injection and then evaluation of the performance of the intramuscular injection was done. Data was analyzed using t-test, and Repeated Measures ANOVA. Result: The level of stress for those who received the ESGI and FEGI was not significant and the level of the nursing skill performance for those who received the ESGI was significantly higher than that of students who received the FEGI. Conclusion: The use of ESGI has an effect on learning psychomotor nursing skills and further research is needed on stress.

• 한국산학기술학회논문지
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• 제7권3호
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• pp.271-277
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• 2006

사출 성형 공정은 저비용으로 고품질의 제품을 대량으로 얻을 수 있는 제조 공정이지만. 성형품의 품질에 영향을 주는 인자의 수가 너무 많아 모든 경우에 대하여 실험을 수행하는 것은 시간적, 경제적으로 불가능하다. 따라서 최근에 시뮬레이션 도구를 활용하여 이러한 실험을 보조하고 있고, 실험계획법 및 여러 가지 최적화 기법들이 다루어지고 있다. 인자수가 많은 경우 각 입력인자 간의 교호작용 등도 고려하면서도 실험 횟수를 줄이는 기법으로 정립된 실험계획법을 적용하여 시뮬레이션 소프트웨어를 이용한 모의 실험 데이터를 도출하였으며, 이를 바탕으로 주변의 잡음에서도 강건한 설계를 할 수 있는 다구찌 기법을 사출 성형 공정에 적용하여 최적의 사출 성형 공정 조건을 나타내었다.

• 기본간호학회지
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• 제25권4호
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• pp.231-239
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• 2018

Purpose: This study was done to understand nursing students' exposure of needlestick and sharp injuries (NSSI), level of anxiety as well as experience of practicing injection with human beings during Fundamentals of Nursing (FN) practice. Methods: Data consisted of self-report questionnaires completed by 571 nursing students who had completed an injection practice in FN. The questionnaire included questions on general characteristics, exposure to NSSI, experience of practicing injections with human beings, level of anxiety and other experiences. Data were analyzed using descriptive statistics and content analysis. Results: Of the students, 17.5% experienced NSSI and 83.2% performed invasive injection procedures in the FN practice. The level of anxiety was 4.62-6.46/10 points when injecting a classmate and 1.27-1.93/10 points when using manikins. The feeling most often reported was worried about making a mistake that could hurt my classmate (57.2%). Conclusion: Nursing students are exposed to NSSI and experience a high degree of anxiety in invasive injection practice. These results indicate that it is necessary to develop and implement standardized NSSI prevention and anxiety reduction programs in FN.

• 대한기계학회논문집A
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• 제20권3호
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• pp.765-774
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• 1996

Computer Integrated Manufacturing(CIM) requires models of manufacturing processes to be implemented on the computer. These models are typically used for determining optimal process control parameters or designing adaptive control systems. In spite of the progress made in the mechanistic modeling, however, empirical models derived from experimental data play a maior role in manufacturing process modeling. This paper describes the development of a meural metwork medel for injection molding. This paper describes the development of a nueral network model for injection molding process. The model uses the CAE analysis data based on Taguchi method. The developed model is, then, compared with the traditional polynomial regression model to assess the applicabilit in practice.