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Social and Behavioral Sciences Commons™
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Articles 1 - 6 of 6
Full-Text Articles in Social and Behavioral Sciences
Animals In Drama And Theatrical Performance: Anthropocentric Emotionalism, Peta Tait
Animals In Drama And Theatrical Performance: Anthropocentric Emotionalism, Peta Tait
Animal Studies Journal
This article outlines how nonhuman animals are framed by the emotions of drama, theatre and contemporary performance and considers a distinctive tradition in western culture of enacting animal characters who function as surrogate humans. It argues that, contradictorily, while animal characters confirm anthropocentric emotionalism, drama also contains pro-animal values and concern for animal welfare. Animals embodying emotions in theatrical languages are part of the way animals are used in the traditions of western culture and to think and philosophize with, but they also indicate thinking about the emotions in theatrical performance. The article considers if, however, staging living animals can …
Using Cost-Sensitive Learning And Feature Selection Algorithms To Improve The Performance Of Imbalanced Classification, Fang Feng, Kuan-Ching Li, Jun Shen, Qingguo Zhou, Xuhui Yang
Using Cost-Sensitive Learning And Feature Selection Algorithms To Improve The Performance Of Imbalanced Classification, Fang Feng, Kuan-Ching Li, Jun Shen, Qingguo Zhou, Xuhui Yang
Faculty of Engineering and Information Sciences - Papers: Part A
Imbalanced data problem is widely present in network intrusion detection, spam filtering, biomedical engineering, finance, science, being a challenge in many real-life data-intensive applications. Classifier bias occurs when traditional classification algorithms are used to deal with imbalanced data. As already known, the General Vector Machine (GVM) algorithm has good generalization ability, though it does not work well for the imbalanced classification. Additionally, the state-of-the-art Binary Ant Lion Optimizer (BALO) algorithm has high exploitability and fast convergence rate. Based on these facts, we have proposed in this paper a Cost-sensitive Feature selection General Vector Machine (CFGVM) algorithm based on GVM and …
Performance Of Ballast Influenced By Deformation And Degradation: Laboratory Testing And Numerical Modeling, Buddhima Indraratna, Ngoc Trung Ngo, Cholachat Rujikiatkamjorn
Performance Of Ballast Influenced By Deformation And Degradation: Laboratory Testing And Numerical Modeling, Buddhima Indraratna, Ngoc Trung Ngo, Cholachat Rujikiatkamjorn
Faculty of Engineering and Information Sciences - Papers: Part B
This paper presents a study on the deformation and degradation responses of railway ballast using large-scale laboratory testing and computational modeling approaches. A series of large-scale triaxial tests were carried out to investigate the ballast breakage responses under cyclic train loading subjected to varying frequencies, f=10-40 Hz. The role of recycled rubber energy-absorbing mats (REAMs) on reducing ballast breakage was also examined. Laboratory test results show that the ballast experiences significant degradation (breakage) and deformation, while the inclusion of REAMs can reduce the ballast breakage up to about 35%. Numerical modeling using the coupled discrete-continuum approach [coupled discrete-element method-finite-difference method …
Novel Water-Based Nanolubricant With Superior Tribological Performance In Hot Steel Rolling, Hui Wu, Fanghui Jia, Zhou Li, Fei Lin, Mingshuai Huo, Shuiquan Huang, Sepidar Sayyar, Sihai Jiao, Han Huang, Zhengyi Jiang
Novel Water-Based Nanolubricant With Superior Tribological Performance In Hot Steel Rolling, Hui Wu, Fanghui Jia, Zhou Li, Fei Lin, Mingshuai Huo, Shuiquan Huang, Sepidar Sayyar, Sihai Jiao, Han Huang, Zhengyi Jiang
Faculty of Engineering and Information Sciences - Papers: Part B
No abstract provided.
A New Modulation Technique To Improve The Power Loss Division Performance Of The Multilevel Inverters, Md Razon Chowdhury, Md. Ashib Rahman, Md Rabiul Islam, A M. Mahfuz-Ur-Rahman
A New Modulation Technique To Improve The Power Loss Division Performance Of The Multilevel Inverters, Md Razon Chowdhury, Md. Ashib Rahman, Md Rabiul Islam, A M. Mahfuz-Ur-Rahman
Faculty of Engineering and Information Sciences - Papers: Part B
Multilevel inverters (MLIs) have offered significant contributions towards the implementation of energy conversion units used in industry and renewable energy applications. However, the switching devices in MLIs are associated with power loss division problems. The pulse width modulation (PWM) techniques greatly influence the peak, average, and ripple values of the device junction temperature. Thermal tension in the devices may be raised due to increased power loss caused by additional switching or uneven distribution of losses due to unbalanced gate pulses. Higher thermal stress accelerates the life degradation process of the power devices and eventually, leads to permanent damage of the …
An Iot- Based Decision Support Tool For Improving The Performance Of Smart Grids Connected With Distributed Energy Sources And Electric Vehicles, Md Rabiul Islam, Haiyan Lu, M J. Hossain, Li Li
An Iot- Based Decision Support Tool For Improving The Performance Of Smart Grids Connected With Distributed Energy Sources And Electric Vehicles, Md Rabiul Islam, Haiyan Lu, M J. Hossain, Li Li
Faculty of Engineering and Information Sciences - Papers: Part B
vThe growing penetration of distributed energy sources (DES), such as photovoltaic (PV) solar power, battery energy systems and electric vehicles (EVs) into low voltage distribution networks is creating serious challenges for distribution network operators. Uncertain nature of these DES and EV charging is a key factor to cause unbalance, which degrade network performance in terms of energy loss, voltage unbalance, and voltage profile of the distribution network, etc. Some methods were proposed to mitigate such negative impact of these uncertain DES and EV charging from both centralized and decentralized approaches by controlling charging or discharging power of EVs. However, these …