The finite element code LS-DYNA is utilized to simulate & analyze the vehicle collisions to obtain accurate & detailed results. The vehicle models offered by the National Crash Analysis Center and the National Transportation Research Center, Inc. are used to conduct this research. The finite element modeling controls & material properties are validated by conducting an impact drop hammer experiment. The bridge pier collision models are validated by compare vehicle damage & impact forces with published research results. Conservation of energy is also checked to oath stability within the impact replication. Piers with large firmness result in high impact forces, low lateral displacements, & high resistance to shear forces & bending moments. A performance-based analysis shows that bridge piers can be designed using damage ratios associated with particular damage states.

Solar collectors have been modified over many years to serve the thermal needs of the this time and for time to come. Many designs and innovations have paved their way to invent new ways to succeed in gaining more solar energy in the form of useful heat .Solar thermal collector is one of the major component in any solar thermal application. It soak up the incoming solar radiation (solar energy ), and converts it to heat energy, and transfers the heat to a working fluid. Commonly used working fluid are air and water sometimes oil .The Flat Plate solar collector integreated with reflector was used in this experiment for heating water .To increase the reflectivity of this system and to concentrate both direct and diffuse radiation towards collector Hexagonal Reflector was used. Further to get maximum amount of an incident solar radiation the reflector was permitted to changes its angle with suns position.It can be seen in the reading significant improverment of the final temperature of collector and efficiency was obtained using hexagonal type reflector. Therefore flat plate solar collector integrated with hexagonal reflector delivers better thermal performance then the systems present today.

This research the establishment of a "Safety system for mask detection during the current COVID-19 pandemic." Since the extraordinary COVID-19 global epidemic, which has mandated the wearing of masks in public places, face mask detection has experienced tremendous advancement in the fields of computer vision and deep learning, among other areas of research. For this reason, machinelearning experts have developed a number of methods and strategies for identifying unmasked individuals utilising a variety of mask detection models in order to combat the scenario. In order to offer Facial Mask Detection Using Boosted CNN in Smart City Network in Smart City Network Several existing technologies, such as face detection, biometric authentication, and facial expression detection, can be integrated into this user-friendly architecture to enable additional developments in the future.

There are many data encryption standards designed for secure data transmission. With the increasing size of data over network it become critical to design the light weight cipher (LWC) encryption method. Thus in this paper prime concern is to design the modified efficient LED (Light encryption device) block based encryption method using the VHDL behavioural modelling methodology. Existing block ciphers are initially reviewed and are serial ones. Then Paper proposed to design a parallel partial architecture for implementing the LWC based LED cipher. In the modified LED the sub cells have used 16 PRESENT sbox’s for creating the new STATE matrix in parallel architecture. During the design the clock driven machine control block is adopted for generating iteration counts. It is found that proposed modified LED is faster and delay efficient too.