Music and Kansei

2010 ◽  
pp. 180-198 ◽  
Author(s):  
Shigekazu Ishihara ◽  
Mitsuo Nagamachi ◽  
Jun Masaki
Keyword(s):  
Recommendation System ◽  
Computer Software ◽  
Principal Component ◽  
Theoretical Aspect ◽  
Psychological Research ◽  
Theoretical Research ◽  
Evaluation Methodology ◽  
Small Range ◽  
Japan Society ◽  
Physiological Measurement

In this chapter, at first the authors review the researches on music in Japan Society of Kansei Engineering. Music related researches are classified into 6 categories; Kansei evaluation methodology, music psychological research, physiological measurement, music theoretical research, Kansei music system and recommendation system. Then, the authors present their approaches for research Kansei on melody and rhythm from the music theoretical aspect. A mode, one of the most elemental structures in music, is a sequence of n musical tones, arranged from the 12 tones, that fall within a one-octave range and are chosen and arranged according to the rules of that mode. In this chapter, the authors analyze, using sound tracks composed automatically by computer software, the relationships between modes and Kansei. “Melodic range” is defined as the high and low extent of the tone movements in a mode. Mode and melodic ranges were the parameters they controlled for evaluation by Kansei. Eighteen sample tracks were automatically composed from combinations of six modes and three ranges. Forty-seven Kansei word pairs were used in the research questionnaire. The results of principal component analysis and an analysis of variance reveal a contrast between tracks with major modes and a larger range and tracks with minor modes and small range. The authors also found that modes and ranges can independently or synergistically affect the Kansei. Based on their results, they have developed a real-time melody recognition program that identifies the mode and its corresponding Kansei from music. The authors also studied rhythm with programmed drum patterns and found that the fluctuation of drum beats relates to the degree of activity, with the interval and complexity of the rhythmic variations relating to the strained to bright axis of a principal components loading map.

scholarly journals Characterizing the Effects of Explosive Ordnance Disposal Operations on the Human Body While Wearing Heavy Personal Protective Equipment

2021 ◽  
pp. 001872082199262
Author(s):  
Yi-Ning Wu ◽  
Adam Norton ◽  
Michael R. Zielinski ◽  
Pei-Chun Kao ◽  
Andrew Stanwicks ◽  
...  
Keyword(s):  
Human Body ◽  
Personal Protective Equipment ◽  
Evaluation Methodology ◽  
Protective Equipment ◽  
Physiological Measurement ◽  
Cognitive Stress ◽  
Explosive Ordnance Disposal ◽  
And Performance ◽  
Inspection Tasks ◽  
Muscle Activations

Objective To provide a comprehensive characterization of explosive ordnance disposal (EOD) personal protective equipment (PPE) by evaluating its effects on the human body, specifically the poses, tasks, and conditions under which EOD operations are performed. Background EOD PPE is designed to protect technicians from a blast. The required features of protection make EOD PPE heavy, bulky, poorly ventilated, and difficult to maneuver in. It is not clear how the EOD PPE wearer physiologically adapts to maintain physical and cognitive performance during EOD operations. Method Fourteen participants performed EOD operations including mobility and inspection tasks with and without EOD PPE. Physiological measurement and kinematic data recording were used to record human physiological responses and performance. Results All physiological measures were significantly higher during the mobility and the inspection tasks when EOD PPE was worn. Participants spent significantly more time to complete the mobility tasks, whereas mixed results were found in the inspection tasks. Higher back muscle activations were seen in participants who performed object manipulation while wearing EOD PPE. Conclusion EOD operations while wearing EOD PPE pose significant physical stress on the human body. The wearer’s mobility is impacted by EOD PPE, resulting in decreased speed and higher muscle activations. Application The testing and evaluation methodology in this study can be used to benchmark future EOD PPE designs. Identifying hazards posed by EOD PPE lays the groundwork for developing mitigation plans, such as exoskeletons, to reduce physical and cognitive stress caused by EOD PPE on the wearers without compromising their operational performance.

Modeling the Economic Performance of Industrial Systems Using Mathematical Programming

2015 ◽  
Vol 809-810 ◽  
pp. 1553-1558
Author(s):  
Flavia Fechete ◽  
Anișor Nedelcu
Keyword(s):  
Linear Programming ◽  
Mathematical Programming ◽  
Economic Performance ◽  
Computer Software ◽  
Theoretical Research ◽  
Programming Models ◽  
Optimal Decision ◽  
Management Decision ◽  
Industrial System ◽  
Industrial Systems

Mathematical programming models and especially their subclass - linear programming models - plays an extremely important role, both in theory and in economic practice. Linear programming, through its results, brought a considerable contribution to improving management methods in economics and it has boosted theoretical research in modeling complex economic systems, study and interpretation of laws and economic processes. Developing and designing a model for achieving the economic performance of the industrial system allows managers making optimal decision and ensures the improvement of their activity. This paper aim is to determine an optimal manufacturing program for an industrial system, so that, by its implementation, to achieve economic performance. The manufacturing program conducted using a computer software will allow this entity to optimize their management decision process by providing information related to physical production that must be executed on each of their the products, or about the unused or overloaded capacity, in order to maximize their profits.

scholarly journals Personalized Music Recommendation Simulation Based on Improved Collaborative Filtering Algorithm

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-11
Author(s):  
Hui Ning ◽  
Qian Li
Keyword(s):  
Collaborative Filtering ◽  
Recommendation System ◽  
Contextual Information ◽  
Rapid Development ◽  
Theoretical Research ◽  
Context Information ◽  
Music Recommendation ◽  
Recommendation Algorithm ◽  
Points Of Interest ◽  
Popularity Prediction

Collaborative filtering technology is currently the most successful and widely used technology in the recommendation system. It has achieved rapid development in theoretical research and practice. It selects information and similarity relationships based on the user’s history and collects others that are the same as the user’s hobbies. User’s evaluation information is to generate recommendations. The main research is the inadequate combination of context information and the mining of new points of interest in the context-aware recommendation process. On the basis of traditional recommendation technology, in view of the characteristics of the context information in music recommendation, a personalized and personalized music based on popularity prediction is proposed. Recommended algorithm is MRAPP (Media Recommendation Algorithm based on Popularity Prediction). The algorithm first analyzes the user’s contextual information under music recommendation and classifies and models the contextual information. The traditional content-based recommendation technology CB calculates the recommendation results and then, for the problem that content-based recommendation technology cannot recommend new points of interest for users, introduces the concept of popularity. First, we use the memory and forget function to reduce the score and then consider user attributes and product attributes to calculate similarity; secondly, we use logistic regression to train feature weights; finally, appropriate weights are used to combine user-based and item-based collaborative filtering recommendation results. Based on the above improvements, the improved collaborative filtering recommendation algorithm in this paper has greatly improved the prediction accuracy. Through theoretical proof and simulation experiments, the effectiveness of the MRAPP algorithm is demonstrated.

Report on the Computer Software Contest at 38th Congress of the Japan Society of Anesthesiology

1991 ◽  
Vol 5 (4) ◽  
pp. 441-444 ◽  
Author(s):  
Kunio Suwa ◽  
Katsuyuki Miyasaka ◽  
Yoshifumi Tanaka ◽  
Makoto Ozaki ◽  
Takahiko Morn ◽  
...  
Keyword(s):  
Computer Software ◽  
Japan Society

scholarly journals Software Tools for Engineering Dark Skies

1991 ◽  
Vol 112 ◽  
pp. 71-76
Author(s):  
A. M. Smith ◽  
D. L. Dilaura
Keyword(s):  
Applied Mathematics ◽  
Computer Software ◽  
Principal Component ◽  
Software Systems ◽  
Atmospheric Scattering ◽  
Recent Developments ◽  
Proper Design ◽  
Lighting Systems ◽  
The Cost ◽  
Optical Astronomy

ABSTRACTAtmospheric scattering of outdoor nighttime electric illumination produces the principal component of background sky luminance that seriously affects ground-based optical astronomy. The sources for this scattering are Tight emitted skyward directly from luminaires, and light reflected off the ground and other illuminated objects. Careful illumination engineering can thus significantly reduce background sky luminance in two ways: 1) by providing outdoor electric lighting equipment that controls the directions in which light is emitted, and; 2) by proper design of outdoor lighting systems which make efficient use of the east amount of light. Recent developments in applied mathematics and computer software have produced computational tools that are being used to design lighting equipment and lighting systems. The software system for luminaire design significantly reduces the cost of this process by eliminating the need for extensive prototyping and provides for inexpensive experimentation with new designs. The system for outdoor lighting calculations permits the design of highly controlled lighting systems that eliminate glare and upward directed light while providing light appropriate for the visual task. These two software systems are described, along with examples of their use in areas that directly affect astronomical observations.

The Scree Test and the Number of Factors: a Dynamic Graphics Approach

2015 ◽  
Vol 18 ◽  
Author(s):  
Rubén Daniel Ledesma ◽  
Pedro Valero-Mora ◽  
Guillermo Macbeth
Keyword(s):  
Principal Component Analysis ◽  
Principal Component ◽  
Real Data ◽  
Component Analysis ◽  
Psychological Research ◽  
Scree Plot ◽  
Dynamic Graphics ◽  
Number Of Factors ◽  
Interactive Data ◽  
Scree Test

AbstractExploratory Factor Analysis and Principal Component Analysis are two data analysis methods that are commonly used in psychological research. When applying these techniques, it is important to determine how many factors to retain. This decision is sometimes based on a visual inspection of the Scree plot. However, the Scree plot may at times be ambiguous and open to interpretation. This paper aims to explore a number of graphical and computational improvements to the Scree plot in order to make it more valid and informative. These enhancements are based on dynamic and interactive data visualization tools, and range from adding Parallel Analysis results to "linking" the Scree plot with other graphics, such as factor-loadings plots. To illustrate our proposed improvements, we introduce and describe an example based on real data on which a principal component analysis is appropriate. We hope to provide better graphical tools to help researchers determine the number of factors to retain.

scholarly journals High-throughput powder diffraction. II. Applications of clustering methods and multivariate data analysis

2004 ◽  
Vol 37 (2) ◽  
pp. 243-252 ◽  
Author(s):  
Gordon Barr ◽  
Wei Dong ◽  
Christopher J. Gilmore
Keyword(s):  
Powder Diffraction ◽  
High Throughput ◽  
Inorganic Compounds ◽  
Computer Software ◽  
Principal Component ◽  
Clustering Methods ◽  
Visualization Tools ◽  
Diffraction Patterns ◽  
Pure Phases ◽  
Related Compounds

In high-throughput crystallography, it is possible to accumulate over 1000 powder diffraction patterns on a series of related compounds, often polymorphs. A method is presented that can analyse such data, automatically sort the patterns into related clusters or classes, characterize each cluster and identify any unusual samples containing, for example, unknown or unexpected polymorphs. Mixtures may be analysed quantitatively if a database of pure phases is available. A key component of the method is a set of visualization tools based on dendrograms, cluster analysis, pie charts, principal-component-based score plots and metric multidimensional scaling. Applications to pharmaceutical data and inorganic compounds are presented. The procedures have been incorporated into thePolySNAPcommercial computer software.

Segmenting Fan Communities

2018 ◽  
pp. 1-17
Author(s):  
Nathalie Collins ◽  
Jamie Murphy
Keyword(s):  
Literature Review ◽  
Science Fiction ◽  
Classification System ◽  
Psychological Research ◽  
Cross Cultural ◽  
Opinion Leaders ◽  
Theoretical Research ◽  
Brand Community ◽  
Folk Taxonomy ◽  
Fan Communities

Extending decades of marketing and psychological research, industry and academic circles attempt to label brand community behaviours, borrowing analogies from subcultures such as religion (evangelists), slang (mavens, haters), technology and science fiction (fanboys), and other sciences (alpha, opinion leaders). Although sometimes used as generic terms, upon examination via an integrative literature review, these and other such commonly used fandom and brand community member labels, can define the spectrum of brand fandom in a specific way—through narrative, metaphor and cross-cultural labelling. Such labelling is happening already; this chapter parses out the meaning of one label from another into a proposed folk taxonomy, or classification system developed by those steeped in the culture. This segmentation enables theoretical research into specific fan types and possible opinion leaders, along with industry recommendations for approaching each segment based on the behavioural characteristic inherent in both the historic and common usage of the word.

Metabolic Analysis of Bone Marrow Mesenchymal Stem Cells and Adipose-Derived Stem Cells Using NMR-Based Metabolomics.

Blood ◽  
2006 ◽  
Vol 108 (11) ◽  
pp. 4244-4244
Author(s):  
Rei Ogawa ◽  
Juri Fujimura ◽  
Keiko Hirakawa ◽  
Kyoko Uekusa ◽  
Kohtaro Yuta ◽  
...  
Keyword(s):  
Stem Cells ◽  
Bone Marrow ◽  
Mesenchymal Stem Cells ◽  
Computer Software ◽  
Principal Component ◽  
Adipose Derived Stem Cells ◽  
Detection Analysis ◽  
Marrow Mesenchymal Stem Cells ◽  
Metabolic Activities ◽  
And Control

Abstract Background: Nuclear magnetic resonance (NMR) -based metabolomics has been suggested to be useful for exhaustive analysis of metabolic pathways of cells or tissues. We report our study on bone marrow mesenchymal stem cells (BSCs) and adipose-derived stem cells (ASCs) using NMR-based metabolomics. Materials and Methods: Five-week-old Wister rats were used for this study. BSCs were harvested from the femur, ASCs from inguinal fat pads, and control fibroblasts from the abdominal dermis. The cells were cultured in DMEM with 10% fetal bovine serum and harvested after two passages of the subculture. Then, the cells were subjected to freezing in liquid nitrogen and crushed to extract the aqueous metabolites. 1H-NMR spectra was measured and analyzed by a computer software (Alice2 for metabolome™ and ADMEWORKS/ModelbuilderTM). Results: BSCs, ASCs and fibroblasts were clearly separated into three groups on a principal component analysis (PCA) plot. Conclusion: ASCs, BSCs and fibroblasts were considered to have different metabolic activities, and NMR-based metabolomics will henceforth be useful for the detection, analysis, and characterization of various kinds of stem cells.

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