Representing Dimensions and Features in a Product Model

1995 ◽  
pp. 52-61 ◽  
Author(s):  
M. S. G. Tsuzuki ◽  
P. E. Miyagi ◽  
L. A. Moscato
Keyword(s):  
Product Model

PENGEMBANGAN MEDIA VIDEO PEMBELAJARAN RIAS KARAKTER PADA PROGRAM STUDI PENDIDIKAN TATA RIAS

2019 ◽  
Vol 5 (1) ◽  
Author(s):  
Irmiah Nurul Rangkuti ◽  
Harun Sitompul ◽  
Naeklan Simbolon
Keyword(s):  
Student Learning ◽  
Learning Outcomes ◽  
Student Learning Outcomes ◽  
University Education ◽  
State University ◽  
Product Model ◽  
Significance Level ◽  
Material Development ◽  
Learning Development ◽  
Media Learning

Abstrak: Penelitian ini bertujuan untuk: (1) menghasilkan media video pembelajaran rias karakter yang layak digunakan, mudah dipelajari mahasiswa dan dapat dipakai untuk pembelajaran individual, (2) mengetahui keefektivitasan media video pembelajaran rias karakter yang dikembangkan pada materi rias karakter. Penelitian pengembangan yang menggunakan model produk Borg dan Gall yang dipadu dengan model pengembangan pembelajaran Dick dan Carey. Hasil penelitian menunjukkan: (1) media video pembelajaran layak digunakan dalam pembelajaran rias karakter pada program studi pendidikan tata arias universitas negeri medan, (2) terdapat perbedaan yang signifikan antara hasil belajar mahasiswa yang dibelajarkan dengan menggunakan media video pembelajaran rias karakter dengan hasil belajar mahasiswa yang dibelajarkan dengan menggunakan media belajar buku teks. Hal ini ditunjukkan dengan hasil pengolahan data (thitung=3,285 )pada taraf signifikansi ɑ = 0,05 dengan dk 56 diperoleh (ttabel = 1,67 ), sehingga (thitung > ttabel), efektivitas penggunaan media video pembelajaran rias karakter = 80,46%. Hasil belajar kelompok mahasiswa yang dibelajarkan tanpa menggunakan media video pembelajaran rias karakter sebesar 71,72%. Dari data ini membuktikan bahwa penggunaan media video pembelajaran rias karakter lebih efektif dalam meningkatkan kompetensi dan pengetahuan mahasiswa pada pembelajaran rias karakter dari pada tanpa menggunakan media video pembelajaran. Kata Kunci: media video pembelajaran, rias karakte, pendidikan tata rias Abstract: This study aims to: (1) produce a suitable use of character makeup learning video media, easy for students to learn and can be used for individual learning, (2) to find out the effectiveness of media character makeup learning videos developed in character makeup material. Development research using the Borg and Gall product model combined with the learning development model of Dick and Carey. The results of the study showed: (1) learning video media is feasible to use in character makeup learning in the field state university education education program, (2) there are significant differences between student learning outcomes learned using the character makeup video learning media with student learning outcomes which was learned by using media learning textbooks. This is indicated by the results of processing data (tcount = 3.285) at the significance level ɑ = 0.05 with dk 56 obtained  (ttable = 1.67), so that (tcount> t table), effectiveness of using media character makeup learning videos = 80.46%. The learning outcomes of the group of students who were taught without using the character makeup learning video media amounted to 71.72%. From these data prove that the use of character makeup learning video media is more effective in increasing students' competence and knowledge in character makeup learning than without using learning video media. Keywords: learning video media, character makeup, makeup education

DECISION-MAKING ON INVESTMENT OF IT-INNOVATION BASED ON FUZZY EXPERT INFORMATION

2018 ◽  
pp. 103-111
Author(s):  
Olga Olegovna Eremenko ◽  
Lyubov Borisovna Aminul ◽  
Elena Vitalievna Chertina
Keyword(s):  
Decision Making ◽  
Individual Characteristics ◽  
Production Model ◽  
Investment Management ◽  
It Projects ◽  
Product Model ◽  
Project Cost ◽  
Reasoning System ◽  
Managerial Decisions ◽  
The Individual

The subject of the research is the process of making managerial decisions for innovative IT projects investing. The paper focuses on the new approach to decision making on investing innovative IT projects using expert survey in a fuzzy reasoning system. As input information, expert estimates of projects have been aggregated into six indicators having a linguistic description of the individual characteristics of the project type "high", "medium", and "low". The task of decision making investing has been formalized and the term-set of the output variable Des has been defined: to invest 50-75% of the project cost; to invest 20-50% of the project cost; to invest 10-20% of the project cost; to send the project for revision; to turn down investing project. The fuzzy product model of making investment management decisions has been developed; it adequately describes the process of investment management. The expediency of using constructed production model on a practical example is shown.

scholarly journals Neural methods for effective, efficient, and exposure-aware information retrieval

2021 ◽  
Vol 55 (1) ◽  
pp. 1-2
Author(s):  
Bhaskar Mitra
Keyword(s):  
Information Retrieval ◽  
Language Processing ◽  
Large Scale ◽  
Web Search ◽  
Real Life ◽  
Inverted Index ◽  
Information Need ◽  
Product Model ◽  
Performance Improvements ◽  
Deep Model

Neural networks with deep architectures have demonstrated significant performance improvements in computer vision, speech recognition, and natural language processing. The challenges in information retrieval (IR), however, are different from these other application areas. A common form of IR involves ranking of documents---or short passages---in response to keyword-based queries. Effective IR systems must deal with query-document vocabulary mismatch problem, by modeling relationships between different query and document terms and how they indicate relevance. Models should also consider lexical matches when the query contains rare terms---such as a person's name or a product model number---not seen during training, and to avoid retrieving semantically related but irrelevant results. In many real-life IR tasks, the retrieval involves extremely large collections---such as the document index of a commercial Web search engine---containing billions of documents. Efficient IR methods should take advantage of specialized IR data structures, such as inverted index, to efficiently retrieve from large collections. Given an information need, the IR system also mediates how much exposure an information artifact receives by deciding whether it should be displayed, and where it should be positioned, among other results. Exposure-aware IR systems may optimize for additional objectives, besides relevance, such as parity of exposure for retrieved items and content publishers. In this thesis, we present novel neural architectures and methods motivated by the specific needs and challenges of IR tasks. We ground our contributions with a detailed survey of the growing body of neural IR literature [Mitra and Craswell, 2018]. Our key contribution towards improving the effectiveness of deep ranking models is developing the Duet principle [Mitra et al., 2017] which emphasizes the importance of incorporating evidence based on both patterns of exact term matches and similarities between learned latent representations of query and document. To efficiently retrieve from large collections, we develop a framework to incorporate query term independence [Mitra et al., 2019] into any arbitrary deep model that enables large-scale precomputation and the use of inverted index for fast retrieval. In the context of stochastic ranking, we further develop optimization strategies for exposure-based objectives [Diaz et al., 2020]. Finally, this dissertation also summarizes our contributions towards benchmarking neural IR models in the presence of large training datasets [Craswell et al., 2019] and explores the application of neural methods to other IR tasks, such as query auto-completion.

Grey relation analysis of 4S service pilot in high-end equipment manufacturing industry

2021 ◽  
pp. 1-13
Author(s):  
Chunyue Xiao ◽  
Jian Sun
Keyword(s):  
Manufacturing Industry ◽  
Relevant Literature ◽  
Competitive Advantages ◽  
Product Model ◽  
Model Framework ◽  
Manufacturing Enterprises ◽  
Customer Interaction ◽  
Cooperative Production ◽  
Equipment Manufacturing ◽  
Equipment Manufacturing Industry

Servitization has a significant impact on the upgrading and reform of the equipment manufacturing industry. From the perspective of application of high-end servitization theory in business practice of equipment manufacturing industry, based on the review of relevant literature, this paper analyzes the concept of integration delay strategy mechanism of cooperative production between enterprises and customers, and thus constructs the theoretical model framework of 4S service pilot high-end equipment manufacturing product-customer interaction experience. With the Liaoning equipment manufacturing industry as a case for quantitative analysis, the feasibility of using delay strategy in the 4S service pilot program is demonstrated, and the three-stage development plan of Liaoning 4S service pilot is outlined. The results show that: At present, in the trend of servitization of China’s equipment manufacturing enterprises, 4S service pilot high-end manufacturing product model enables equipment manufacturing enterprises to delay production time and produce according to customer orders, improve service efficiency and optimize resource allocation, and help enterprises to obtain new exclusive competitive advantages.

An Assembly Process Model Involved Resource for Complex Products

2012 ◽  
Vol 268-270 ◽  
pp. 845-850
Author(s):  
Gang Sun ◽  
Yuan Li ◽  
Jian Feng Yu ◽  
Jie Zhang ◽  
Liang Dong
Keyword(s):  
Graph Theory ◽  
Process Planning ◽  
Process Model ◽  
Modeling Method ◽  
Assembly Process ◽  
Product Model ◽  
Typical Structure ◽  
Complex Products ◽  
3D Environment ◽  
Interactive Relationship

Fixtures, tools, and other assembly resources have an important role in the assembly of complex products, so it is very necessary to consider the interactive relationship between the resources model and the product model for assembly order planning in 3D environment. Firstly, the features of assembly process planning involved resources are analyzed. Secondly, the concept of the assembly process intention（AsmPI） is introduced，and an assembly process can be divided into an AsmPI sequence. Thirdly, based on the graph theory, a resource-involved assembly process model is built up. At last, setting a typical structure as an example, the validity of this modeling method is verified.

Product Model Preparation and Processing for Micromanufacturing

2008 ◽  
Vol 8 (2) ◽  
Author(s):  
Chao-Yaug Liao ◽  
Jean-Claude Léon ◽  
Cédric Masclet ◽  
Michel Bouriau ◽  
Patrice L. Baldeck ◽  
...  
Keyword(s):  
Laser Beam ◽  
Computer Aided Design ◽  
Welding Process ◽  
Product Model ◽  
Processing Scheme ◽  
Proposed Model ◽  
Layer Manufacturing ◽  
Manifold Models ◽  
Model Preparation ◽  
Aided Design

Based on the two-photon polymerization technique, an analysis of product shapes is performed so that their digital manufacturing models can be efficiently processed for micromanufacture. To describe microstructures, this analysis shows that nonmanifold models are of interest. These models can be intuitively understood as combinations of wires, surfaces, and volumes. Minimum acceptable wall thickness, wire dimension, and laser density of energy are among the elements justifying this category of models. Taking into account this requirement, a model preparation and processing scheme is proposed that widens the laser beam trajectories with a concept of extended layer manufacturing technique. A tessellation process suited for non-manifold models has been developed for computer-aided design models imported from standard for the exchange of product files. After tessellation, several polyhedral subdomains form a nonmanifold polyhedron. To plan the trajectories of the laser beam, adaptive slicing and global 3D hatching processes as well as a “welding” process (for joining subdomains of different dimensionality) have been combined. Finally, two nonmanifold microstructures are fabricated according to the proposed model preparation and processing scheme.

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