Volume 12, Issue 2, March 2021

An Expert System to Reduce Emergency Response Time Using a Machine Learning Technique

Rana Mohtasham, M. Junaid, Mariam Ijaz, Rana Saima Aftab

Department of Computer Science, University of Engineering and Technology, Lahore
Department of Computer Science, Lahore Leads University

Abstract- In any unusual circumstance occurred an individual would look for a quick and accurate response with a minimum response time because the most important thing which is at risk is life in any emergency situation. For the past couple of years many life’s have been gone due to less effective emergency response time. So the main purpose of the study would be the development of a mechanically learned data driven emergency response expert system which would be human resource independent and would be dispatching required emergency response within the shortest time. The system itself will mine the required information from the textual format of what the caller will say and then systematically generate the case, case nature and then depending upon the case nature it will inform the concerned department which will putt down the response time, as if computer works much faster and more efficiently than human beings. Results declared have shown a minimized emergency response time graph with an accuracy of 91.17% depicting the effective of algorithm.

Keywords- Expert System, Ret Response Time, Data Driven Mechanism and Emergency

Download full paper PDF format (Page: 1-7)

Creating a New Nest Algebra Structure for Nilpotent Lie Algebras

Atefeh Hasan-Zadeh

Fouman Faculty of Engineering, College of Engineering, University of Tehran, Iran

Abstract- In this paper a functional analysis approach to solve the rigidity problems of the Riemannian nilmanifolds using information from their geodetic flows is considered. The proposed method combines analytical and geometric materials to construct a structure of nest algebra for nilpotent Lie algebras. In this way, the main concepts of Lie derivations and the results obtained from it in nilmanifolds are consistent with the corresponding results in nest algebras. Due to this adaptation of the main concepts, one proposition of Gordon, which can be used in solving the rigidity problem for 2-step nilmanifolds, has been proved in the new structure. Also, the resulting nesting algebra structure leads to an extension of that proposition to quasi-nilpotent operators.

Keywords- Nilpotent Lie Algebra, Inner Derivations, Trace Class Operators and Quasi-nilpotent Operators

Download full paper PDF format (Page: 8-10)

Online Education Strategies during COVID-19: A Case Study of Delhi University

Swati Das

Computer Science Engineering, Faculty, Rourkela Institute of Management Studies, Odisha, India

Abstract- Ever since the spring of 2020, the COVID-19 outbreak has caused the Indian universities to shut down campuses and force them to start teaching online. This paper focuses on the online education system of Delhi University. Six special teaching strategies are presented to summarize the current online teaching experience which includes university lecturers who can conduct online education in parallel conditions. The study concludes with the five most influential principles of the online education: (a) high pertinence between online instructional design and student learning, (b) effective delivery of online instructional information, (c) sufficient support provided by the facilitators of assisting and teaching to students; (d) high standard participation to improve the breadth and depth of student learning, and (e) an emergency program to deal with unexpected events in online educational platforms.

Keywords- Covid-19, Online Teaching, Strategies and Education

Download full paper PDF format (Page: 11-13)


Keywords- FEM Study, Thermal Radiation and Laptop Injury

Download full paper PDF format (Page: 14-22)