Prof. Asadullah Shah
International Islamic University Malaysia
Speech Title: Energy Consumption Optimization for Smart Homes using Intelligent Algorithms
Abstract: Internet of Things (IoT) is a set of interconnected smart sensors and other devices. IoT uses the Internet as a vehicle to connect millions of tiny electronic and electrical components to operate in a smart environment cohesively to perform the intelligent task, may it be smart homes, smart cities, and general smart applications. The advancements in smart grid technologies have enabled to monitor every moment of energy (power) consumption in smart buildings. The rapid growth of smart homes, pushing the demand for efficient resource management. Energy is a vital and costly commodity for smart buildings; the researchers all over the world are trying to optimize the usage of energy in smart buildings. Besides energy consumption optimization, user comfort is also a concern of the researchers. The central focus of this research is energy consumption optimization in smart homes. Three parameters have been considered in this research for comfort index (thermal, visual, and air-quality); they correspond to temperature, illumination, and CO2. The major problem with the previously proposed methods is the static parameters (temperature, illumination, and CO2) assigned by the user (resident) at the beginning that remain unchanged despite outside weather changes. In this research, we have used a deep extreme learning machine to make user parameters dynamic instead of static. For the optimization of energy consumption and comfort index management, we have used the Bat algorithm and fuzzy logic. The dynamic user parameters have improved the overall performance in terms of ease of use, energy consumption, and comfort index management for smart homes. For simulation purpose, the required comfort index values were set at value 0.33 each for temperature, illumination, and air quality, respectively. The comfort index value closer to 1 is considered a better comfort index as reported by the literature. The experimental results show that the comfort index after optimization remained close to 1, the power consumption reduced and stayed around the maximum of 15-18wh instead of the maximum of 29wh without optimization a reduction of 11 to 14 wh. The simulation results exhibit improvement in the comfort index along with energy consumption optimization without compromising thermal, visual and air quality comforts.
A. Prof. Shahida Sulaiman
Universiti Teknologi Malaysia
Measuring Teamwork in Software Engineering Course: A Case Study of Online Learning during COVID-19 Pandemic
Abstract: Many higher learning institutions offer Computer Science programmes with software engineering specialisation and some offer it as a programme itself. Software engineering could be offered as a core course to be taken by both computer science and software engineering students. While the coverage may vary among higher learning institutions, the main aim is to equip the students with the required disciplines in software development in order to deliver high quality software. Students are normally assigned with team-based projects that could be assessed for their teamwork as part of the course outcomes. Comparing to teamwork in practice among software engineers, software engineering students could only simulate their teamwork within the dedicated student learning time for this course. Thus, it is quite challenging when issues arise among team members mainly in meeting the deadlines for their project deliverables as part of course assessments. In this academic setting, their grades are affected as compared to in the real industry setting, the project could suffer and cause a loss to their organisations. This simulation is more challenging due to the current COVID-19 pandemic where teaching and learning have been transformed into hundred percent online platform. Current situation could affect more on students’ performance and teamwork assessment as they do not meet physically anymore to practice teamwork. This speech will share a case study on how the alternative measures have taken to reduce the threat to teamwork and team-based assessments among the involved software engineering students at School of Computing, Universiti Teknologi Malaysia.
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