Lie symmetries, Kac-Moody-Virasoro algebras and integrability of certain (2+1)-dimensional nonlinear evolution equations

In this paper we study Lie symmetries, Kac-Moody-Virasoro algebras, similarity reductions and particular solutions of two different recently introduced (2+1)-dimensional nonlinear evolution equations, namely (i) (2+1)-dimensional breaking soliton equation and (ii) (2+1)-dimensional nonlinear Schr\"odinger type equation introduced by Zakharov and studied later by Strachan. Interestingly our studies show that not all integrable higher dimensional systems admit Kac-Moody-Virasoro type sub-algebras. Particularly the two integrable systems mentioned above do not admit Virasoro type subalgebras, eventhough the other integrable higher dimensional systems do admit such algebras which we have also reviewed in the Appendix. Further, we bring out physically interesting solutions for special choices of the symmetry parameters in both the systems

Serving deep learning models in a serverless platform

Serverless computing has emerged as a compelling paradigm for the development and deployment of a wide range of event based cloud applications. At the same time, cloud providers and enterprise companies are heavily adopting machine learning and Artificial Intelligence to either differentiate themselves, or provide their customers with value added services. In this work we evaluate the suitability of a serverless computing environment for the inferencing of large neural network models. Our experimental evaluations are executed on the AWS Lambda environment using the MxNet deep learning framework. Our experimental results show that while the inferencing latency can be within an acceptable range, longer delays due to cold starts can skew the latency distribution and hence risk violating more stringent SLAs

Codeswitching in communication: a sociolinguistic study of Malaysian secondary school students

Codeswitching is a common phenomenon in a multilingual society like Malaysia. Furthermore, the language policy of the Malaysian government has made it mandatory for the students to learn both in bahasa melayu and English at their primary school level. The Indian and Chinese students acquired their respective mother tongues, namely Tamil and Mandarin, besides the two compulsory languages, (bahasa Melayu and English). This study was conducted at four secondary schools situated in the Klang Valley, in which one school was chosen from an urban setting, two from suburban, and one from a rural area. Twenty samples were selected of which twelve were Indian students, four Malays, and four Chinese. The samples were give two topics for discussion and their conversations were recorded and transcribed. In addition, a questionnaire was administered to determine the respondents' demographic details and their language choice at home. The findings indicated that codeswitching that occurs from bahasa Melayu to English, Tamil or Chinese to English or vice versa during conversations is more habitual by nature. Respondents from the average economic and educational category were found to have used both English and their mother tongue as their matrix language. However, the respondents from the lower economic and educational category used their mother tongue as the dominant language or matrix language. Similarly, when the same ethnic group converse, their mother tongue becomes the domain language, with English and bahasa Melayu as the embedded languages

Prediction of grinding machinability when grind P20 tool steel using water based ZnO nano-coolant

Grinding is often an important finishing process for many engineering components and for some components is even a major production process. The surface roughness, Ra is also an important factor affecting many manufacturing departments. In this study, a model have been developed to find the effect of grinding condition which is depth of cut, type of wheel and type of grinding coolant on the surface roughness on AISI P20 tool steel and wheel wear. Besides that, the objective of this study is to determine the effect of Zinc Oxide (ZnO) nano-coolant on the grinding surface quality and wheel wear for various axial depth. Precision surface grinding machine is used to grind the AISI P20 tool steel. The work table speed would be constant throughout the experiment which is 200 rpm. The experiment conducted with grinding depth in the range of 5 to 21µm. Besides, Aluminum Oxide wheel and Silicon Carbide wheel are used to grind the work piece in this experimental study. Next, the experiment will conduct using ZnO nano-coolant. Finally, the artificial intelligence model has been developed using ANN. From the result, it shows that the lower surface roughness and wheel wear obtain at the lowest cutting depth which is 5 µm. Besides that, grind using ZnO nano-coolant gives better surface roughness and minimum wheel wears compare to grind using water based coolant. From the prediction of ANN, it shows that the surface roughness became constant after cutting depth 21 µm. In conclusion, grind using ZnO nano-coolant with cutting depth 5 µm obtain a better surface roughness and lowest wheel wear. As a recommendation, various machining can be conducted using ZnO nano-coolant to emphasize better results