J. M. Gnanasekar

In recent years, video surveillance has become an integral part of computer vision research, addressing a variety of challenges in security, memory management and content extraction from video sequences. This paper introduces the Robust Object Detection using Fire Hawks Optimizer with Deep Learning (ROD-FHODL) technique, a novel approach designed specifically for video surveillance applications. Combining object detection and classification the proposed technique employs a two-step procedure. Utilizing the power of the Mask Region-based Convolutional Neural Network (Mask-RCNN) for object detection, we optimize its hyperparameters using the Fire Hawks Optimizer (FHO) algorithm to improve its efficacy. Our experimental results on the UCSD dataset demonstrate the significant impact of the proposed work. It achieves an extraordinary RUNNT of 1.34[ ]s on the pedestrian-1 dataset, significantly outperforming existing models. In addition, the proposed system surpasses in accuracy, with a pedestrian-1 accuracy rate of 97.45% and Area Under the Curve (AUC) values of 98.92%. Comparative analysis demonstrates the superiority of the proposed system in True Positive Rate (TPR) versus False Positive Rate (FPR) across thresholds. In conclusion, the proposed system represents a significant advancement in video surveillance, offering advances in speed, precision and robustness that hold promise for enhancing security, traffic management and public space monitoring in smart city infrastructure and other applications.

Distributed computing and capacity administrations enable customers to move their server farm and applications to unified huge server farms and in this manner keep away from the weight of neighborhood information stockpiling and upkeep. In any case, this stances new moves identified with making secure and solid information stockpiling over temperamental specialist organizations. In this examination, we address the issues of guaranteeing the uprightness of information stockpiling and information replication in distributed computing. To begin with, specifically, we consider strategies for decreasing the weight of producing a steady measure of metadata at the customer side. what's more, Second we proposed and set forth the aftereffects of a framework which will execute a capacity technique that uses the Division and Replication procedure for putting away the information. In this framework, the record will be divided and these parts will be duplicated by the replication factor before putting away it upon the cloud. Replication of a prevalent document and putting away its imitation in the areas closer to the customers who are settling on solicitations is the best decision to lessen the execution time. Despite the fact that replication helps in expanding accessibility, the topic of how to choose an ideal replication number and right areas to put the copies are open difficulties. By abusing some great characteristics of the bilinear gathering, we can devise a basic and effective review administration for open confirmation of untrusted and re appropriated capacity, which can be significant for accomplishing broad organization of distributed computing. While numerous earlier examinations on guaranteeing remote information uprightness did not consider the weight of creati check metadata at the customer side, the target of this investigation is to determine this issue. In addition, our plan likewise underpins information elements and open obviousness. Broad security and execution investigation demonstrates that the proposed plan is profoundly effective and provably secure.

We define a consistently neighbor detection layer for mobile ad-hoc networks and present two algorithms that implement this layer as a service with varying progress guarantees. Our algorithms are implemented atop an abstract MAC layer [13], which deals with the lower level details of collision detection and contention. Specifically, we first describe a basic region-based neighbor detection protocol with weak progress guarantees. Informally speaking, this protocol does not guarantee communication links when nodes move quickly across region boundaries. To overcome this limitation, we describe a technique that uses a basic neighbor detection protocol as a black box and boosts its progress guarantees. The key idea behind this technique is to use multiple partitions overlaid in a specific way, and associate with each partition an instance of the basic neighbor detection protocol. We show the output of these instances can be composed in a way that provides stronger progress guarantees. In the last section of the paper we discuss different user layer algorithms which would benefit from the consistently neighbor detection layer described in this paper.

Cloud Computing aims to provide computing everywhere. It delivers computing resources on demand over internet in terms of anything anywhere anytime concept. It provides everything as a service to its users like infrastructure platform software hardware workplace data and security. Cloud computing has made revolutionary transformations in the government and business. Cloud Computing transforms the databases and application software to the huge data centers, where the management of the services and data may not be trustworthy. To verify the correctness, integrity, confidentially and availability of data in the cloud, in this paper, we focus on various cloud computing security threats and solution that have been used since security is an important measure for quality of service.

Wireless ad hoc networks are an emerging multi-hop communication system among mobiles to deliver data packets. The special characteristics of wireless networks make the communication link between mobiles unreliable. To handle high mobility and environmental obstacles, most physical routing protocols do not consider stable links during packet transmission, which leads to higher delay and packet dropping in network. In this paper, we propose path observation-based physical routing protocol named POPR for WANET. The proposed routing protocol incorporates relative distance, direction and mid-range forwarder node with traffic density to forward the data towards destination in order to improve physical forwarding between and at the intersection. Simulation results show that the proposed routing protocol performs better than existing solutions.

Incorporating code mobility to inter-operable internet enabled software applications improves efficiency, performance and network traffic reduction. Present mobile agent technology fails to leverage the interoperable web infrastructure developed in a standard compliant manner. Here we describe a development environment and technology that fuse Workflow, Web 2.0, SOA and WS-BPEL and create a distributed computing environment (ACtive E-commerce Framework called ACEF) that permit creation of inter operable, infrastructure leveraging migratable code for design of active internet applications.

The maximum benefit out of the recent developments in sensor networking can be achieved via the integration of sensors with Internet. The real-time specific sensor data must be processed and the action must be taken instantaneously. The integration controller module of the proposed architecture integrates the sensor network and Internet using Cloud Technology which offers the benefit of reliability, availability and extensability.