Classroom and laboratory infrastructure, food quality, and the environment cause many health issues to the students at colleges and universities, like back pain, eye issues, shoulder pain, and pain in the spinal cord. These problems affect many students' physical and psychological capacity, and students lose enthusiasm and intelligence. This study was conducted at Mehran University of Engineering and Technology (MUET) to identify the ergonomic problems of students from attending lectures in class, performing different experiments in laboratories and workshops, and food quality at the canteens. This study focuses on ergonomic awareness and following rules and regulations for students and university administration. This research is conducted based on different questionnaires and the Rapid Upper Limb Assessment (RULA) method. Through questionnaires, we analyzed students’ physical and mental problems. The survey was conducted at the before mentioned university from a total of 104 random students. Using the RULA method, we take data from different postures of students while performing practical work in computer laboratories, mechanical workshops, and other laboratories. After analysis, it is found that the RULA score is almost 7, which is dangerous for health and further survey shows many health problems through questionnaires. It is suggested that universities should follow the ergonomics rules, make a good environment for classes, laboratories, and workshops also improve the food quality at the canteen to mitigate the health problems in students.

The World is moving toward Smart traffic management and monitoring technologies. Vehicle detection and classification are the two important features of intelligent transportation system. Several algorithms for detection of vehicles such as Sobel, Prewitt, and Robert etc. but due to their less accuracy and sensitivity to noise they could not detect vehicles clearly. In this paper, a simple and rapid prototyping approach for vehicle detection and classification using MATLAB Xilinx system generator and Zedboard is presented. The Simulink model of vehicle detection and classification is designed using a complex canny edge detection algorithm for vehicle detection. The canny edge detection algorithm offers 91% accuracy as compared to its counterpart Sobel and Perwitt algorithms that offer 79.4% and 76.1% accuracy. The feature vector approach is used for vehicle classification. The proposed model is simulated and validated in MATLAB. The Canny edge detection and feature vector algorithms for vehicle detection and classification are synthesized through the Xilinx system generator in Zedboard. The proposed design is validated with the existing works. The implementation results reveal that the proposed system for vehicle detection and classification takes only 8 ns of execution time with a 128MHz clock, which is the lowest and optimum calculation period for the smart city.

Billion of tonnes lignite coal is deposited under the surface of Tharparkar zone had been started utilizing in its own mine mouth power plant. Tharparkar is rich in coal resource and have the potential to energize the Pakistan for at least 200 year with the deposited coal fuel of 175 Billion of tonnes. Thar coal further divided into 13 blocks; Block II (have 1% of 175 Billion of tonnes of coal has the capability of produce 5000 MW for 50 years) had just set its 2 units which is capable for 2x330 MW with coal consumption of 560 tons/hour. With the time, the increase in thermal power plant will results in increasing problems with the disposal of solid residues from combustion and off gas cleaning (Bottom ash and Fly ash). The properties of as fired coal is analyzed i.e, volatile matter, sulfur and nitrogen contents and solid residues from combustion and off gas cleaning (Bottom & Fly Ash) and it’s found that as fired coal consists of 12% ash which is 5% greater than ash of design coal that is 7% and ranges from 4-12%. Large amount of ash produced by as fired coal reaches the almost upper range of ash in designed coal and yet it’s not utilized or recycled, according to analysis it can be utilized in various forms i.e. CLC block, cements, road construction and agriculture, if it is not recycled in future then it will create bad impact to the environment like environment pollution, health concern to the human and wildlife and contaminant the under-ground water.