Global Journal of Computer Science and Technology (GJCST)
Not a member yet
1830 research outputs found
Sort by
Location Identification and Driver Safety System in VANETs
Get PDFVehicular Ad-hoc Networks VANETs are major popular wireless environment for Intelligence Transport Systems ITS This paper concentrates on Location Identification and Driver Safety LIDS Location identification is mapping out by using RFID Radio Frequency Identification technology to recognize the current location and also corresponding surrounded areas The additional feature to be included is to control the speed of vehicle when ever vehicle crosses school and hospital zones For driver safety can be carried out using grip force sensor and eye-ball sensor Driver s drowsiness is detected by the sensors and alerts the buzzer and stops when ever driver comes to normal state and pressing reset button The complete system is controlled by an effectual low cost version of 8051 microcontroller AT89S52 On the whole LIDS suits well for safety vehicle system The implementation results show better performance than already existing method
Big Data Management for MMO Games and Integrated Website Implementation
Get PDFWith the popularity and success of massively multiplayer Games (MMOGs), the development of MMOGS has got a quantum leap on game's contents and entertainment which attract huge number of players making MMOGs these years a big business which increased to billions of dollars revenue each year worldwide. But with this number of players and these game contents, the data volume produced from games has rapidly increased and used by simultaneously game players around the world. This data require high performance, fault tolerance and scalability. Considering all these demands the popular used relational database becomes a big challenge and cannot overcomes the challenges and cannot meet the requirements for MMOGS data storage. This paper focus on using big data technology tools to completely meet the requirement of MMO games. My work can be divided into two parts: the first part we proposed Cassandra database for MMO games data storing and the integration of Hadoop with Cassandra nodes for high performance in operations process. The second part: we implement a new MMO website with new payment methods, new advertisement program by friend2019;s invitations and other enhanced function. By implementing this website and comparisons of results of our database management, we show the applicability of our approach as well as the relative performance benefits of designing new games or website using our architecture
A Survey on Encryption and Improved Virtualization Security Techniques for Cloud Infrastructure
Get PDFCloud Computing is one of the latest developments in the IT industry which offers on-demand services without requiring to create an IT infrastructure. It provides scalability, high performance and relatively low cost feasible solution for organizations. Despite of all its advantages, security is still a critical challenge in cloud computing paradigm. This paper presents a survey on some possible techniques used for encrypting user data and also providing techniques used in improving virtualization security for the cloud infrastructure
An Efficient Operations and Management Challenges of Next Generation Network (NGN)
No full textNext Generation Network (NGN) is envisioned to be an inter-working environment of heterogeneous networks of wired and wireless access networks, PSTN, satellites, broadcasting, etc., all interconnected through the service provider2019;s IP backbone and the Internet. NGN uses multiple broadband, QoS-enabled transport technologies and servicerelated functions independent from underlying transportrelated technologies. The operations and management of such interconnected networks are expected to be much more difficult and important than the traditional network environment. In this paper, we present an overview of the current status towards the management of NGN and discuss challenges in operating and managing NGN. We also present the operations and management requirements of NGN in accordance with the challenges and verified two routing protocols for QOS support and providing security using caesarchiper encryption/decryption in Ad-hoc networks and also provide QOS for wired networks by AQM techniques and simulated results of AQM, Routing protocols using NS-2 and Encryption/Decryption using Matlab tools
A Tool Based Edge Server Selection Technique using Spatial Data Structure
Get PDFSpace partitioning is the process of dividing a Euclidean space into a non-overlapping regions. Kdimensional tree is such space-partitioning data structure for partitioning a Euclidean plane like the surface of earth. This paper describes a tool-based logically partitioning technique of earth surface using K-dimensional tree to segregate the edge servers over the earth surface into a nonoverlapping regions for the particular Content Delivery Network. Consequently selecting an edge server based on Least Response Time lo ad balancing algorithm is introduced to improve end-user response time and fault tolerance of the host server
Data Link Layer Designing Issues: Error ControlaA Roadmap
Get PDFDifferent networks are used to transfer data from one device to another with acceptable accuracy. For most applications, a system must guarantee that the data received are identical to the data transmitted. Transmission media are most error-prone link. In a network, the capacity of nodes is different and the rate at which the sender is sending data might not be the same rate at which the receiver accepts it. In this paper, we discuss on designing issues of data link layer. The primary focus ison various error detecting and controlling mechanisms
Digital Data Theft Detection using Watermarking
Get PDFLarge amount of data is embedded in media and spread in the internet. This data can be replaced easily with the help of some software. Digital watermarking is a very useful technology in today2019;s world, to prevent illegal copying of data. Digital watermarking can be applied to all forms of multimedia
Extended Edgecluster based Technique for Social Networking Collective Behavior Learning System
Get PDFGrowing interest and continuous development of social network sites like Facebook Twitter Flicker and YouTube etc turn to several researchers for research study planning and rigorous development Exact people behavior prediction is the most important challenge of these on-line social networking websites This research focus to learn to predict collective behavior in social media networks Particularly provided information about some person how can we collect the behavior of unobserved persons in the same network These tremendous growing networks in social media are of massive size involving large number of actors The computational scale of these networks makes necessary scalable learning for models for collective collaborative behavior prediction This scalability issue is solved by the proposed k-means clustering algorithm which is used to partition the edges into disjoint distinct sets with each set is showing one separate affiliation This edge-centric structure represents that the extracted social dimensions are definitely sparse in nature This model idealized on the sparse natured social dimensions shows efficient prediction performance than earlier existing approaches The proposed approach can effectively able to work for sparse social networks of any growing size The important advantage of this method is that it easily grows upon to handle networks with large number of actors while existing methods was unable to do This scalable approach effectively used over of online network collective behavior on a large scal
Verification of Bangla Sentence Structure using N-Gram
Get PDFStatistical N-gram language modeling is used in many domains like spelling and syntactic verification, speech recognition, machine translation, character recognition and like others. This paper describes a system for sentence structure verification based on Ngram modeling of Bangla. An experimental corpus containing one million word tokens was used to train the system. The corpus was a part of the BdNC01 corpus, created in the SIPL lab. of Islamic university. Collecting several sample text from different newspapers, the system was tested by 1000 correct and another 1000 incorrect sentences. The system has successfully identified the structural validity of test sentences at a rate of 93%. This paper also describes the limitations of our system with possible solutions
Crowd Behavior Analysis and Classification using Graph Theoretic Approach
Get PDFSurveillance systems are commonly used for security and monitoring. The need to automate these systems is well understood. To address this issue we introduce the Graph theoretic approach based Crowd Behavior Analysis and Classification System (GCBACS). The crowd behavior is observed based on the motion trajectories of the personnel in the crowd. Optical flow methods are used to obtain the streak lines and path lines of the crowd personnel trajectories. The streak flow is constructed based on the path and streak lines. The personnel and their respective potential vectors obtained from the streak flows are used to represent each frame as a graph. The frames of the surveillance videos are analyzed using graph theoretic approaches. The cumulative variation in all the frames is computed and a threshold based mechanism is used for classification and activity recognition. The experimental results discussed in the paper prove the efficiency and robustness of the proposed GCBACS for crowd behavior analysis and classification