Extraction of KANSEI from expert and sensory evaluation system based on KANSEI

2002 ◽  
Author(s):  
T. Fukuda ◽  
T. Chikazawa ◽  
Y. Hasegawa ◽  
F. Kobayashi ◽  
K. Shimojima ◽  
...  
Keyword(s):  
Sensory Evaluation ◽  
Evaluation System

scholarly journals Comfort properties of nano-filament polyester fabrics: sensory evaluation

2018 ◽  
Vol 69 (01) ◽  
pp. 3-10
Author(s):  
AZEEM MUSADDAQ ◽  
BOUGHATTAS AMAL ◽  
SIDDIQUE HAFIZ FAISAL ◽  
ANTONIN HAVELKA ◽  
SAJID HUSSAIN
Keyword(s):  
Sensory Evaluation ◽  
Mechanical Characteristic ◽  
Experimental Work ◽  
Evaluation System ◽  
Surface Characteristics ◽  
Polyester Fabric ◽  
Filament Yarn ◽  
Polyester Fabrics

In this article, an experimental work is presented to evaluate the sensorial properties of polyester fabric constructed by nano-filament yarn. For this purpose Nano Filament polyester fabric was fabricated and compared with the spun polyester/cotton (PC) and polyester/viscose (PV) blended fabric by using Kawabata evaluation system (KES-system) to assess the handle of the fabric based on mechanical characteristic. The results revealed that the fabric made from PC and PV blended fabric were stiffer than nano-filament polyester fabric. The higher hand value (THV) resulted in lower stiffness (Koshi), and higher smoothness (Numeri) and fullness (Fukurami).Hand values of PV blended fabric were close to nano-filament polyester fabric rather than PC fabric. The overall results of tensile, shearing, bending, compression and surface characteristics of nano-filament polyester fabric were found best as compared to PC and PV blended fabric.

Simplified standing function and sensory evaluation system for fall prevention

2017 ◽  
Author(s):  
Mami Sakata ◽  
Keisuke Shima ◽  
Koji Shimatani ◽  
Hiroyuki Izumi ◽  
Tomoyuki Nagara
Keyword(s):  
Sensory Evaluation ◽  
Fall Prevention ◽  
Evaluation System

Analysis of Relationship between Sensory Quality and Physiochemical Indexes of Natural Fermented Soybean Paste

2014 ◽  
Vol 508 ◽  
pp. 75-78 ◽  
Author(s):  
Tian Tian ◽  
Jun Rui Wu ◽  
Xi Qing Yue
Keyword(s):  
Principal Component Analysis ◽  
Sensory Evaluation ◽  
Evaluation System ◽  
Sensory Quality ◽  
Principal Component ◽  
Component Analysis ◽  
Liaoning Province ◽  
Fermented Soybean ◽  
Soybean Paste ◽  
The Relationship

The principal component analysis (PCA) of natural fermented soybean pastes which were collected in Liaoning province was detected. Further, the relationship between the sensory quality and physiochemical indexes was analyzed to establish the sensory evaluation system for natural fermented bean paste. Results showed that sensory quality was related to the physiochemical indexes of soybean pastes. Physiochemical indicators can be used to indirectly evaluate its sensory quality.

An intelligent method for the evaluation and prediction of fabric formability for men’s suits

2016 ◽  
Vol 88 (4) ◽  
pp. 438-452 ◽  
Author(s):  
Z Xue ◽  
X Zeng ◽  
L Koehl
Keyword(s):  
Neural Network ◽  
Mechanical Properties ◽  
Principal Component Analysis ◽  
Data Analysis ◽  
Predictive Model ◽  
Sensory Evaluation ◽  
Evaluation System ◽  
Fuzzy Neural Network ◽  
Principal Component ◽  
Fuzzy Neural

Sixty-six commonly used suitings were selected as the experimental samples of the current study. The Kawabata Evaluation System was used to measure the mechanical properties of the samples. Each sample fabric was made into a shoulder-back as a part of a men’s suit. In order to study the appropriateness of the samples for making good shaped men’s suits, which is known as fabric formability, sensory evaluation methods have been applied to obtain panelists’ assessments on the shape of the shoulder-backs. During data analysis, principal component analysis was initially adopted to reduce the complexity of the system by extracting a small number of important mechanical properties. Then, a fuzzy neural network was developed to model the underlying relations between the samples’ formability and their mechanical properties. Finally, a number of testing samples were used to verify the effectiveness of the proposed predictive model.

J151025 A preliminary study of a plantar sensory evaluation system for peripheral neuropathy

2013 ◽  
Vol 2013 (0) ◽  
pp. _J151025-1-_J151025-4
Author(s):  
Shuichi INO ◽  
Noriyo TAKAHASHI ◽  
Mitsuru SATO ◽  
Shinichi YOSHIMURA ◽  
Tadasuke ONISHI ◽  
...  
Keyword(s):  
Peripheral Neuropathy ◽  
Sensory Evaluation ◽  
Evaluation System ◽  
Preliminary Study
Sign in / Sign up

Export Citation Format

Share Document