Method of Emerging Delight Design Based on KANSEI

2018 ◽  
Author(s):  
Yukako Tanaka ◽  
Hideki Aoyama
Keyword(s):  
Neural Network ◽  
Customer Value ◽  
High Performance ◽  
Architectural Design ◽  
Evaluation Model ◽  
Value Added ◽  
Manufacturing Technology ◽  
Concept Design ◽  
Performance Quality ◽  
Customer Evaluation

With the intensification of international competition and diversification of customer tastes, the concept design and architectural design contributing to the function and products of the appearance shape has become an important issue in product development. Therefore, in addition to the manufacturing technology supported by high quality and high performance, the establishment of delight value-added manufacturing technology is required. In recent years, delight design has been attracting attention to create a design that enhances customer satisfaction. Delight design means a design with attractive quality, in addition to the conventional performance quality and must-be quality. However, attractive quality depends on the quality of the designer. Moreover, it is difficult to define such a concept because it is considered to exist in a state similar to an idea, which means that it is vague and difficult to express. Therefore, in this study, we propose a method of constructing a neural network customer value model that creates a product design from KANSEI using customer KANSEI data. Additionally, we propose a method of constructing a neural network customer evaluation model as the inverse model. The customer evaluation model analyzes the KANSEI of individual customers and creates a delight design, which is more appealing to an individual customer. In this study, this proposed method was applied to the side shape of a car’s body and the shape of a beer cup.

scholarly journals Mix Concrete: Combining the Composition to Create New Surface of Architectural Building

2018 ◽  
Vol 67 ◽  
pp. 04021
Author(s):  
Tria Amalia Ningsih ◽  
Dalhar Susanto ◽  
Intan CHairunnisa
Keyword(s):  
High Performance ◽  
Architectural Design ◽  
Learning Activities ◽  
Concrete Composition ◽  
Aesthetic Value ◽  
Architectural Practice ◽  
Building Technology ◽  
Architectural Elements ◽  
Technical Developments ◽  
Performance Quality

Concrete has been transfigured from the object of mass production at twentieth century to advancing technology of building a new formation of contemporary architectural design. Concrete has evolved in ranging aggregate particles, to push the boundary the concept of reinforcing concrete with high-performance quality the thinness or elasticity. There are several conditions of concrete construction based on assembling this material towards architectural buildings. In the architectural practice, the issue of structure underlines the combination of concrete system which resists the tensile strength. Concrete also reflects on surfaces of architectural elements and potentially reshaped as a vehicle for sculptural form. Mixed concrete is a preliminary idea of mixing concrete composition with other materials such as gravel, ceramic and plastic which then discovers different form or texture. The forms of expression which have emerged alongside the technical developments reflect aesthetic value with various surfaces. This exploration is a part of learning activities in building technology class which aims at directing students to utilize concrete through mixing technique. It is developed in order to create a sustainability process of concrete and discuss the possibilities of future environmental impact by using concrete. Reshaping the visible face of concrete reveals the astonishing achievement of architecture.

МЕТОДЫ ДОСТИЖЕНИЯ МАКСИМАЛЬНОЙ ЭФФЕКТИВНОСТИ ПЛАТФОРМЫ ПРОТОТИПИРОВАНИЯ ВЫСОКОПРОИЗВОДИТЕЛЬНЫХ СИСТЕМ НА КРИСТАЛЛЕ НА ЗАДАЧАХ ИСКУССТВЕННОГО ИНТЕЛЛЕКТА

2020 ◽  
Vol 96 (3s) ◽  
pp. 585-588
Author(s):  
С.Е. Фролова ◽  
Е.С. Янакова
Keyword(s):  
Neural Network ◽  
Artificial Intelligence ◽  
Computer Vision ◽  
High Performance ◽  
Systems On Chip ◽  
High Performance Systems ◽  
On Chip ◽  
Network Technologies ◽  
Neural Network Technologies

Предлагаются методы построения платформ прототипирования высокопроизводительных систем на кристалле для задач искусственного интеллекта. Изложены требования к платформам подобного класса и принципы изменения проекта СнК для имплементации в прототип. Рассматриваются методы отладки проектов на платформе прототипирования. Приведены результаты работ алгоритмов компьютерного зрения с использованием нейросетевых технологий на FPGA-прототипе семантических ядер ELcore. Methods have been proposed for building prototyping platforms for high-performance systems-on-chip for artificial intelligence tasks. The requirements for platforms of this class and the principles for changing the design of the SoC for implementation in the prototype have been described as well as methods of debugging projects on the prototyping platform. The results of the work of computer vision algorithms using neural network technologies on the FPGA prototype of the ELcore semantic cores have been presented.

scholarly journals Olive Fruit and Leaf Wastes as Bioactive Ingredients for Cosmetics—A Preliminary Study

Antioxidants ◽  
2021 ◽  
Vol 10 (2) ◽  
pp. 245
Author(s):  
María de la Luz Cádiz-Gurrea ◽  
Diana Pinto ◽  
Cristina Delerue-Matos ◽  
Francisca Rodrigues
Keyword(s):  
Olive Oil ◽  
High Performance ◽  
Value Added ◽  
Bioactive Compound ◽  
In Vitro Assays ◽  
Oil Consumption ◽  
Cosmetic Ingredients ◽  
Bioactive Ingredients ◽  
Olive Industry

Olea europaea cultivar, native in the Mediterranean basin, has expanded worldwide, mainly due to the olive oil industry. This expansion is attributed to the benefits of olive oil consumption, since this product is rich in nutritional and bioactive compounds. However, the olive industry generates high amounts of wastes, which could be related to polluting effects on soil and water. To minimize the environmental impact, different strategies of revalorization have been proposed. In this sense, the aim of this work was to develop high cosmetic value added oleuropein-enriched extracts (O20 and O30), a bioactive compound from olive byproducts, performing a comprehensive characterization using high performance liquid chromatography coupled to mass spectrometry and evaluate their bioactivity by in vitro assays. A total of 49 compounds were detected, with oleuropein and its derivatives widely found in O30 extract, whereas iridoids were mainly detected in O20 extract. Moreover, 10 compounds were detected for the first time in olive leaves. Both extracts demonstrated strong antioxidant and antiradical activities, although O30 showed higher values. In addition, radical oxygen and nitrogen species scavenging and enzyme inhibition values were higher in O30, with the exception of HOCl and hyaluronidase inhibition assays. Regarding cell viability, olive byproduct extracts did not lead to a decrease in keratinocytes viability until 100 µg/mL. All data reported by the present study reflect the potential of industrial byproducts as cosmetic ingredients.

scholarly journals Joint Innovation Investment and Pricing Decisions in Retail Supply Chains with Customer Value

2021 ◽  
Vol 13 (3) ◽  
pp. 1309
Author(s):  
Jiali Qu ◽  
Benyong Hu ◽  
Chao Meng
Keyword(s):  
Supply Chain ◽  
Cooperative Game ◽  
Customer Value ◽  
Business Models ◽  
Value Added ◽  
Revenue Sharing ◽  
Nash Bargaining ◽  
Product Price ◽  
Pricing Decisions ◽  
Game Equilibrium

In the retail industry, customer value has become the key to maintaining competitive advantages. In the era of new retail, customer value is not only affected by the product price, but it is also closely related to innovations, such as value-added services and unique business models. In this paper, we study the joint innovation investment and pricing decisions in a retailer–supplier supply chain based on revenue sharing contracts and customer value. We first find that, in the non-cooperative game, equilibrium only exists in the supplier Stackelberg game. However, revenue sharing contracts cannot coordinate the supply chain in the non-cooperative game. By considering supply chain members’ bargaining power, we find that there exists a unique equilibrium for the Nash bargaining product. In addition, revenue sharing contracts can coordinate the supply chain and achieve the optimal consumer surplus. When the supply chain is coordinated, supply chain profit is allocated to the supply chain members based on their bargaining powers.

scholarly journals Tomato Leaf Disease Diagnosis Based on Improved Convolution Neural Network by Attention Module

Agriculture ◽  
2021 ◽  
Vol 11 (7) ◽  
pp. 651
Author(s):  
Shengyi Zhao ◽  
Yun Peng ◽  
Jizhan Liu ◽  
Shuo Wu
Keyword(s):  
Neural Network ◽  
High Performance ◽  
Model Comparison ◽  
Research Direction ◽  
Disease Diagnosis ◽  
Tomato Leaf ◽  
Identification Accuracy ◽  
Main Research ◽  
Proposed Model ◽  
Complex Features

Crop disease diagnosis is of great significance to crop yield and agricultural production. Deep learning methods have become the main research direction to solve the diagnosis of crop diseases. This paper proposed a deep convolutional neural network that integrates an attention mechanism, which can better adapt to the diagnosis of a variety of tomato leaf diseases. The network structure mainly includes residual blocks and attention extraction modules. The model can accurately extract complex features of various diseases. Extensive comparative experiment results show that the proposed model achieves the average identification accuracy of 96.81% on the tomato leaf diseases dataset. It proves that the model has significant advantages in terms of network complexity and real-time performance compared with other models. Moreover, through the model comparison experiment on the grape leaf diseases public dataset, the proposed model also achieves better results, and the average identification accuracy of 99.24%. It is certified that add the attention module can more accurately extract the complex features of a variety of diseases and has fewer parameters. The proposed model provides a high-performance solution for crop diagnosis under the real agricultural environment.

scholarly journals Gallium nitride catalyzed the direct hydrogenation of carbon dioxide to dimethyl ether as primary product

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Chang Liu ◽  
Jincan Kang ◽  
Zheng-Qing Huang ◽  
Yong-Hong Song ◽  
Yong-Shan Xiao ◽  
...  
Keyword(s):  
Gallium Nitride ◽  
Dimethyl Ether ◽  
High Performance ◽  
Density Functional ◽  
Value Added ◽  
Density Functional Theory Calculations ◽  
Product Distribution ◽  
Spectroscopic Studies ◽  
Direct Hydrogenation ◽  
Hydrogenation Of Co

AbstractThe selective hydrogenation of CO2 to value-added chemicals is attractive but still challenged by the high-performance catalyst. In this work, we report that gallium nitride (GaN) catalyzes the direct hydrogenation of CO2 to dimethyl ether (DME) with a CO-free selectivity of about 80%. The activity of GaN for the hydrogenation of CO2 is much higher than that for the hydrogenation of CO although the product distribution is very similar. The steady-state and transient experimental results, spectroscopic studies, and density functional theory calculations rigorously reveal that DME is produced as the primary product via the methyl and formate intermediates, which are formed over different planes of GaN with similar activation energies. This essentially differs from the traditional DME synthesis via the methanol intermediate over a hybrid catalyst. The present work offers a different catalyst capable of the direct hydrogenation of CO2 to DME and thus enriches the chemistry for CO2 transformations.

scholarly journals Investigating Lignin-Derived Monomers and Oligomers in Low-Molecular-Weight Fractions Separated from Depolymerized Black Liquor Retentate by Membrane Filtration

Molecules ◽  
2021 ◽  
Vol 26 (10) ◽  
pp. 2887
Author(s):  
Kena Li ◽  
Jens Prothmann ◽  
Margareta Sandahl ◽  
Sara Blomberg ◽  
Charlotta Turner ◽  
...  
Keyword(s):  
Molecular Weight ◽  
High Performance ◽  
Membrane Filtration ◽  
Black Liquor ◽  
Complex Mixture ◽  
Value Added ◽  
Kraft Pulping ◽  
Classification Model ◽  
Low Molecular Weight ◽  
Chemical Complexity

Base-catalyzed depolymerization of black liquor retentate (BLR) from the kraft pulping process, followed by ultrafiltration, has been suggested as a means of obtaining low-molecular-weight (LMW) compounds. The chemical complexity of BLR, which consists of a mixture of softwood and hardwood lignin that has undergone several kinds of treatment, leads to a complex mixture of LMW compounds, making the separation of components for the formation of value-added chemicals more difficult. Identifying the phenolic compounds in the LMW fractions obtained under different depolymerization conditions is essential for the upgrading process. In this study, a state-of-the-art nontargeted analysis method using ultra-high-performance supercritical fluid chromatography coupled to high-resolution multiple-stage tandem mass spectrometry (UHPSFC/HRMSn) combined with a Kendrick mass defect-based classification model was applied to analyze the monomers and oligomers in the LMW fractions separated from BLR samples depolymerized at 170–210 °C. The most common phenolic compound types were dimers, followed by monomers. A second round of depolymerization yielded low amounts of monomers and dimers, while a high number of trimers were formed, thought to be the result of repolymerization.

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