• Title/Summary/Keyword: Artificial product

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Development of a Sales Prediction Model of Electronic Appliances using Artificial Neural Networks (인공신경망을 이용한 가전제품의 판매예측모델 개발)

  • Seo, Kwang-Kyu
    • Journal of Digital Convergence
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    • v.12 no.11
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    • pp.209-214
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    • 2014
  • Despite the recession of the global market, the domestic electronic appliance companies dominated TV market in North America. They took both the premium and mid-priced product market and achieved both profitability and volume due to strong product competitiveness and brand power. Despite doing well in the North American market, the domestic TV manufacturers are worried about product development, marketing and sales strategies to remain the continuous competitiveness in the TV market. This study proposes the a sales prediction model of electronic appliances using sales data of S company from the North American market. We develop the sales prediction models based on multiple regression analysis and artificial neural network and compare two models. Especially, this study analyzes the relevance between the TV sales and TV main features in order to improve the price competitiveness or improve the value of TV products.

A Study on Establishment Method of Smart Factory Dataset for Artificial Intelligence (인공지능형 스마트공장 데이터셋 구축 방법에 관한 연구)

  • Park, Youn-Soo;Lee, Sang-Deok;Choi, Jeong-Hun
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.21 no.5
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    • pp.203-208
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    • 2021
  • At the manufacturing site, workers have been operating by inputting materials into the manufacturing process and leaving input records according to the work instructions, but product LOT tracking has been not possible due to many omissions. Recently, it is being carried out as a system to automatically input materials using RFID-Tag. In particular, the initial automatic recognition rate was good at 97 percent by automatically generating input information through RACK (TAG) ID and RACK input time analysis, but the automatic recognition rate continues to decrease due to multi-material RACK, TAG loss, and new product input issues. It is expected that it will contribute to increasing speed and yield (normal product ratio) in the overall production process by improving automatic recognition rate and real-time monitoring through the establishment of artificial intelligent smart factory datasets.

A Study on the Application of Nature Organic Form for Industrial Products -Mainly around Examples of Product Design- (자연유기체를 통한 산업제품 조형의 응용성에 대한 연구 - 제품디자인에 나타난 사례를 중심으로 -)

  • 곽희준
    • Archives of design research
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    • v.17 no.3
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    • pp.91-100
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    • 2004
  • Natural forms could be ultimate visual expression power that affects on the industrial design. The rule of power in nature as nature formal characteristics have a direct influence and can be also applied to productional and artificial form. All organic forms and structures in nature have unique form and shape to be self controlled and good in order. Such an order in nature comes from regular and ratio principles which has aesthetical order by mathematics. The specialty of beauty in nature can be revealed not only visual form but also the ratio, balance and rhythm of structural principles. As we examine the aesthetic source, embodied some object can be developed into basic principles. Furthermore, through this study we can find out that the form theory in nature forms share the quality attribute with geometrical form to be shown in industrial product design. In this context, this study aims to make dear visual quality of organic form and structure that is immanent in nature about a form as formative principles of industrial product design, the significancy of this study is to prove the application into functional and structural form of product design.

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Production of Environment-friendly Artificial Media for Agriculture Using Urban Sludge (도시발생 슬러지를 이용한 환경친화적 인공배지 생산)

  • 김선주;윤춘경;양용석
    • Magazine of the Korean Society of Agricultural Engineers
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    • v.40 no.2
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    • pp.102-111
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    • 1998
  • Large amount of sludge have been generating in the process of water and wastewater treatment in urban area, and it has been making many environmental problems. Currently almost of sludge is landfilled, and since sludge is difficult to handle and dehydrate, the permeated water from the filled-in ground contaminate the surrounding soil and groundwater which may cause serious environmental and sociological problems. The organic component in sludge can be almost removed through the heat treatment process, and the final product is called artificial soil or artificial media according to the temperature control. To produce artificial media using sludge, chabazite and lime were used as an additive, and the mixture of sludge & additives was thermally treated in the firing kiln at about 800~1, 100。C for about fifteen minutes. The physical and chemical characteristics of the produced artificial media were analyzed, and it showed that it can be used as an artificial media for plant production or soil conditioner for farmland. The concentrations of the toxic heavy metals in the artificial media were lower than the soil quality standard for farmland. The characteristics of produced artificial media, using the mixture of sludge and additives through the heat treatment, is similar to the natural chabazite and soil. The analyzed result of the mineral composition of artificial media showed that it has a characteristics similar to natural stable soil, so the produced artificial media may be applied to farmland or water culture without causing adverse effect. Therefore this study showed that the above process can be a feasible alternative for sludge treatment.

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How Through-Process Optimization (TPO) Assists to Meet Product Quality

  • Klaus Jax;Yuyou Zhai;Wolfgang Oberaigner
    • Corrosion Science and Technology
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    • v.23 no.2
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    • pp.131-138
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    • 2024
  • This paper introduces Primetals Technologies' Through-Process Optimization (TPO) Services and Through-Process Quality Control (TPQC) System, which integrate domain knowledge, software, and automation expertise to assist steel producers in achieving operational excellence. TPQC collects high-resolution process and product data from the entire production route, providing visualizations and facilitating quality assurance. It also enables the application of artificial intelligence techniques to optimize processes, accelerate steel grade development, and enhance product quality. The main objective of TPO is to grow and digitize operational know-how, increase profitability, and better meet customer needs. The paper describes the contribution of these systems to achieving operational excellence, with a focus on quality assurance. Transparent and traceable production data is used for manual and automatic quality evaluation, resulting in product quality status and guiding the product disposition process. Deviation management is supported by rule-based and AI-based assistants, along with monitoring, alarming, and reporting functions ensuring early recognition of deviations. Embedded root cause proposals and their corrective and compensatory actions facilitate decision support to maintain product quality. Quality indicators and predictive quality models further enhance the efficiency of the quality assurance process. Utilizing the quality assurance software package, TPQC acts as a "one-truth" platform for product quality key players.

THE STUDY OF THE DENTAL PLAQUE FORMATION ON DIFFERENT IMPLANT SURFACES (임플란트 표면에 따른 인공치면세균막 형성에 관한 연구)

  • Kim, Jin-Woo;Han, Se-Jin;Kim, Kyung-Wook
    • Journal of the Korean Association of Oral and Maxillofacial Surgeons
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    • v.34 no.3
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    • pp.325-340
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    • 2008
  • The purpose of this study was to evaluate the artificial dental plaque by Streptococcus mutans on 4 different implant surfaces. In this study, the specimens were divided into 4 groups according to implant surface treatment. Uncoated implant group(n=5) which has an uncoated, smooth surfaced implant(Osstem, Korea), SLA implant group(n=5) which has an sandblasted large grit and acid-etched surface implant(Bicon, USA). Oxidized implant group(n=5) which has an oxidized surfaced implant (Osstem, Korea), and RBM implant group(n=5) which has resorbable blasting media(RBM) surfaced implant(Osstem, Korea). Acquired pellicle by human saliva and dental plaque by Streptococcus mutans were made on each implant surface. To analyze the plaque condition on implants surfaces, cell count and optical density were taken as a microbiologic method, and SEM(Scanning Electronic Microscope) findings was also taken for evaluation of surface condition. The following results were obtained. 1. Cell counting results of artificial dental plaque were Uncoated group($658.0{\pm}102.0$), RBM group($878.0{\pm}170.0$), SLA group ($946.0{\pm}42.0$), Oxidized group($992.0{\pm}40.0$), and there was difference between Oxidized group and Uncoated implant group(p<0.05). In case of modified cell counting results by v/w% were RBM group($197.8{\pm}45.2$), Oxidized group($207.04{\pm}8.34$), Uncoated group($261.6{\pm}40.6$), SLA group($315.4{\pm}14.0$), and there was difference between RBM group and SLA group(p<0.05). 2. Optical density results of artificial dental plaque after ultrasonic treatment was that there was difference among groups, and optical density of RBM group was higher than that of Uncoated group(p<0.05). In case of modified optical density results by v/w%, there was difference among groups, and the modified optical density of Uncoated group and SLA group was higher than those of Oxidized group and RBM group(P>0.05). 3. SEM findings of artificial dental plaque on the surfaces of implant as follows; there were artificial dental plaque on the surfaces of all test implants. Streptococcus mutans and by-product were observed at 10,000 times magnified condition on all test implants. Adhesion area of artificial dental plaque was about 1/2 of total surface after 24 hours incubate at $37^{\circ}C$. These results showed that there were differences among implant surfaces on the growth of Streptococcus mutans, and bacteria and by-product were covered about 1/2 area of total implant surfaces at 24 hours incubate at $37^{\circ}C$.

Experimental Study on Development of Artificial Fishing Reefs Using Environment-Friendly Sulfur Concrete (환경친화적인 유황콘크리트 인공어초 개발을 위한 실험적 연구)

  • Park, Sung-Bae;Kim, Seok-Chel;Kim, Kyoung-Hoon;Hong, Chong-Hyun
    • Journal of Ocean Engineering and Technology
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    • v.21 no.3 s.76
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    • pp.58-64
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    • 2007
  • New artificial fishing reefs are developed using modified sulfur concrete. Modified sulfur concrete, which is made of by-product aggregates and modified sulfur binder, has good properties, including high density, less water absorption, high strength, high salt resistance, and good affinity for living organisms. This paper shows the mechanical properties of modified sulfur concrete and its field tests under the sea. We have found that the pH-neutral materials attach microalgae and seaweed more readily, compared to the pH-high materials.

Research on the Way to Promote the Value Chain of Animation Digital Publishing in the Context of AI

  • Zhang, Tiemo;Zhang, Mengze;Bae, Ki-Hyung
    • International Journal of Contents
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    • v.15 no.4
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    • pp.107-112
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    • 2019
  • With the development of AI (artificial intelligence), animation digital publishing has been integrated with intellectualization. This paper adopts the theory of the global value chain, and analyzes the basic structure of the animation publishing value chain. Then focuses on the analysis of digital technology and artificial intelligence technology to play an active role in the topic selection and content customization of animation digital publishing products, optimization of publishing platforms, and user experience of publishing products. Finally, it proposes the use of artificial intelligence data analysis and deep learning technology. The purpose of this paper is to realize the upgrading of animation digital publishing, product upgrading, industrial chain upgrading, and identify some promotion methods for the value chain, such as copyright protection.

Test of Linearity in Panel Regression Model (패널회귀모형에서 선형성검정)

  • 송석헌;최충돈
    • The Korean Journal of Applied Statistics
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    • v.16 no.2
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    • pp.351-364
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    • 2003
  • This paper derives Lagrange multiplier tests based on Double-Length Artificial Regression and Outer-Product Gradient for testing linear and log-linear panel regressions against Box-Cox alternatives. The proposed DLR based LM tests are easy to implement in an error component model. From the Monte Carlo study, the DLR based LM tests are recommended for testing functiona forms.

Stress Redistributions due to the Shape of Sliding Core and Applied Load Core in the Artificial Intervertebral Disc (인공추간판 슬라이딩 코어의 형상과 하중모드에 따른 응력 재분포)

  • Kang Bong-Su;Kim Cheol-Woong
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2006.05a
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    • pp.515-516
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    • 2006
  • The goal of total disc replacement is to restore pain-free mobility to a diseased functional spinal unit, by replacing the degenerated disc with a mobile bearing prosthesis. SB Charite III is named commercial product as the Artificial Intervertebral Disc (AID). SB Charite III consists of sliding core and endplate made by Ultra-high Molecular Weight Polyethylene (UHMWPE) and cobalt chrome alloy, respectively. To evaluate the effect of von-Mises stress in AID, and three-dimensional finite element model of AID analysis was preformed for four different loading types of sliding core. Consequently, endplate was compared with a compressive preload at 400N and flexion moment at $3{\sim}9Nm4. Therefore, this research has obtained result that von-Mises stress of sliding core in AID disc by radius curvature.

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