Scientific Publications
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Computer Science & Engineering
Core computing paradigms, algorithm design, software architectures, advanced computing theory, and hardware engineering.
Computer Networks
Network architectures, wireless ad-hoc protocols, vehicular networks (VANET), buffering, and communications.
Electronics Department
Circuits, semiconductor devices, flexible electronics, solar array modeling, signal processing, and photonics.
Civil Engg
Structural analysis, thermal stability of fluid layers, environmental infrastructure, and applied materials engineering.
Computer Networks Publications (9)
EDGE DETECTORS: SURVEY
Image segmentation is the technique of detecting edges of the object within the picture that we want to identify. Image recognition is carried out in various steps: Step 1. RGB value of picture is extracted. Step 2. Gray image is acquired either using formulae 0.2989 * R + 0.5870 * G + 0.1140 * B or the usage of rgb2gray () function. Step 3. Binary image is acquired from gray image. Step 4. Now edge detection is implemented using various algorithms along with Sobel, Canny, Roberts, Prewitt, Laplacian of Gaussian, Zero cross detection. Edge detection is the most vital procedure as it symbolizes how nicely the object could be detected. This research papers gives comparison on existing methods such as Sobel operator, canny operator, Prewitt operator, Roberts operator, zero crossing method, Laplacian of Gaussian method using MATLAB R2016a.
A survey on contrast enhancement based image forensics of Digital Images
Image forensics is been an emerging domain of research these days. Whenever any tampering to the image is done, contrast enhancement is imparted to image to hide tampering. In this paper a survey is done on different type of image forgery and their detection techniques which based on contrast enhancement.
IMPROVE THE CONSERVATION OF ENERGY BY ADAPTIVE CLUSTERING LEACH PROTOCAOL FOR WSN
Today, in general Wireless Sensor Network (WSN) is a set of communicating sensors using wireless links. These sensors (node) are used to control an environment and transmit the captured data to the base stations. In WSN, each node serves as transmitter and router. The nodes in WSNs are usually powered by batteries with finite capacity and it is always impossible to replenish the power, and The failure of the energy sensor can significantly modify the topology of the network and impose an expensive reorganization of the network Energy conservation has a main priority in all technology and engineering field. Hence, the wireless sensor depends on its internal battery to work its total life time, extending the life time by minimizing the consumption of power is also very important field in current researches. This research aims to optimize the energy consumption of wide scale wireless sensor networks by deploying a novel and adaptive improvement and modification on the traditional clustering of the cells of the network. In this Dissertation we work on load balancing of each cell in the network, introduce the “Potential” concept which is a measurement of node and cells overall availability and it is related to energy, distance and data transfer, deal with the nodes in between two clusters and finally make all nodes die almost at the same time by using an adaptive system for solving these problems.
A Review on Wireless Device Networks
the purpose of this paper is to deliver summary of wireless device networks (WSNs). Wireless networks are comprised of spatially spread independent device nodes linked with each other for maintaining & detecting the environmental as well as physical states of the given application. The batteries of these device nodes are outfitted with limited energy to work as a source of energy. Hence, efficient energy utilization is a significant challenge in these types of networks, which are equipped with batteries having limited power storage capacities. This paper discussed the WSN with energy efficiency methods, its design challenges, Storage management & also the limitations of WSN. Here also discussed various research related to this field.
Adaptive Differential Evolution & Dijkstra Algorithm based Reduced Energy Consumption in Wireless Sensor Networks
In wireless sensor networks (WSNs), energy productivity conventions are used to recover energy preservation of framework & upgrade lifetime. transmission is finished by an organization of nodes rather than some physical mechanism for correspondence in WSN. conveyed nodes transmit information to sink or to the goal node. The nodes are assembled via better correspondence & this is known as a grouping. In clustering, adjacent nodes are arranged in perfect group & refer data to cluster head (CH) which totals data from different nodes & send it more to sink. Diverse clustering algo’s & strategies have been created for improvement of WSN. Popular customary methodology, focal node in system favored as CH & this node obliged for system transmission. This single node devours more energy instead of different nodes prompts dead node. Then again, it pursues straight course consequently the course is over-burden which devours more energy by decrease in lifetime of system. We suggested energy effective Adaptive Differential Evolution (ADE) algo based methodology with the idea of Grid-based Routing algo which improves general execution of remote sensor systems. The proposed methodology has better energy effectiveness as a contrast with Genetic algo since it is dynamic methodology not static, adjusted the heap & improvement makes progressively possibility of better bring about less no. of circles that are unrealistic in different procedures. The recreation aftereffect of the proposed methodology is done in MATLAB.
Buffering of Several Frame with additional Buffer
Video Streaming Quality of Service (QoS) has been an area of research recently. Video Buff ering is an important part of wireless media. Internet speed has increased in last few years but still the buff ering of video is not appropriate and it is a challenge to improve the buff ering speed. In this paper, we focus on an algorithm which will increase the buff ering speed and Quality of Service (QoS). Also it helps users to store the video easily just after watching the video. The algorithm proposed in this paper will use a packet scheduling algorithm and also work on buff ering algorithm
Geometry Based Recursive Algorithm to Control the End Effectors of Coordinated TRRLR Manipulators
A mobile manipulator which is combination of a mobile platform and a manipulator, provides a highly flexible system, which can be used in hazardous application. One of the challenges with mobile manipulators is the construction of control systems, enabling the robot to operate safely in potentially dynamic and all terrain environments. In this paper we will present work in which a mobile manipulator is controlled using the hybrid approach. The method presented is a real time approach in which geometry of the arm with onboard sensor data processing are used both for the overall coordination of the mobile platform and the manipulator as well as the trajectory planning along a straight line parallel to two planes.
Embedded Programming Based Precise Control of a Mobile Manipulator
A mobile manipulator which is combination of a mobile platform and a manipulator provide a highly flexible system, which can be used in hazardous application. One of the challenges with mobile manipulators is the construction of control systems, enabling the robot to operate safely in potentially dynamic and all terrain environments. In this paper we will present work in which a mobile manipulator is controlled using the hybrid approach. The method presented is a real time approach in which inverse kinematics of the arm with onboard sensor data processing are used both for the overall coordination of the mobile platform and the manipulator as well as the lower level fusion of obstacle avoidance and target acquisition behaviors.
SIMULATION OF TRAJECTORY GENERATION FOR DUAL ARM ROBOT
A This paper aim is to carry out the simulation of dual arm cooperative manipulator and develop different mission demanded custom based trajectories. Since the dual arm will be in folded condition on a mobile platform, it has to be deployed during mission to detect buried objects below the ground by means of remote control from a base vehicle through telemetry command and control. This paper discusses the method to control dual arm robot for task-space system with highly uncertain kinematics and dynamics. Trajectory generation simulations are presented to validate the performance of the developed control algorithms dual arm robot. The MATLAB based deployment of dual arm manipulator using simulation is discussed. The simulation generated trajectory of dual arm cooperative manipulator for mission requirement of deploying from folded condition for using in unmanned teleoperated vehicle is accomplished and high scope of using this method in embedded system is elaborated. By porting on to a real time embedded controller with ease of feeding parameters of any serial or dual arm robot, the trajectories can easily be generated in physical hardware.