Global Journal of Computer Science and Technology (GJCST)
Not a member yet
1830 research outputs found
Sort by
Formal Verification and Validates the Mobile Nodes using NNDRP
Mobile ad-hoc networks are wireless networks and these are suitable for safety critical applications due to its adhoc behavior but attackers easily enter in to the network and they can access the network, so security is a crucial factor for any communication protocols, especially in mobile environment, so verifying the node that may be a malicious node or trustworthy node is a challenging task, but most of the researchers focused on the neighbor nodes distance only but they are not focused on security. This paper provides secure routing for MANET using NNDRP protocol, this protocol verify and validate the nodes with security measures
A Novel Search Technique of Motion Estimation for Video Compression
Video Compression is highly demanded now a days as due to the fact that in the field of entertainment, medicine and communication there is high demand for digital video technology. For the effective removal of temporal redundancy between the frames for better video compression Motion estimation techniques plays a major role. Block based motion estimation has been widely used for video coding. One such method is the Hierarchical Search Technique for BMA. By amalgamating the three different search algorithms like New three step search, New Full search and New Cross diamond search a novel hierarchical search methodology is proposed. Sub- sampling the original image into additional two levels is done and thereby the New Diamond search algorithm and a new three-step search algorithm are used in the bottom two levels and the Full Search is performed on the highest level where the complexity is relatively low. In terms of PSNR with reduced complexity this new proposed algorithm showed better performance
Particle Swarm Optimization with Family Communication Strategy
Particle swarm optimization PSO is a population-based stochastic algorithm for solv- ing complex optimization problems To raise efficiency and accelerate convergence of PSO we proposed a new sociological PSO algorithm with family concepts named as FPSO Here family relationships and relative communication strategies were introduced into the conventional PSO algorithm Two types of family relationships among parti- cles equal relationship ER and generational relationship GR were introduced into the communication strategies among family members The convergent speed and com- plexity of the proposed FPSO method were analyzed theoretically and simulated by the IEEE-CEC 2015 learning-based benchmark problems to demonstrate the precision and convergent speed And the FPSO performances with ER and GR were separately tested and discussed The experimental results indicated that the proposed FPSO method could improve the convergence performance and had stronger judgment ability and intelligence than the conventional PSO metho
Kanban Based Scheduling in a Multistage and Multiproduct System
In the highly competitive manufacturing environment, many companies around the world are searching for ways to improve manufacturing performance. This is in response to changes in the manufacturing environment reflected by shortened product life cycles, diverse customer needs and the rapid progress of manufacturing technology. A JIT tool otherwise referred to as kanban based scheduling is then considered as a suitable management concept for Juhel Pharmaceutical Nigeria Ltd to address the challenges by minimising all the components, particularly on the shop floor. The JIT system is not just related to Kanban implementation but it comprises an all-inclusive approach for improving batch size reduction, setup time reduction, quality, production planning, and human resources management. Mechanisms and operating procedures are required to provide detailed step-by-step instructions for the implementation of a pull system. Basically, the Drug Process Plant operations are mainly characterised by single flow line production processes, periodical and multi-items orders. Based on the evaluation of the implementation of the new system, there are some factors that must be considered for further improvement including inventory reduction, improving visibility, batch size reduction and matching with other systems
A Literature Review on Emotion Recognition Using Various Methods
Emotion Recognition is an important area of work to improve the interaction between human and machine. Complexity of emotion makes the acquisition task more difficult. Quondam works are proposed to capture emotion through unimodal mechanism such as only facial expressions or only vocal input. More recently, inception to the idea of multimodal emotion recognition has increased the accuracy rate of the detection of the machine. Moreover, deep learning technique with neural network extended the success ratio of machine in respect of emotion recognition. Recent works with deep learning technique has been performed with different kinds of input of human behavior such as audio-visual inputs, facial expressions, body gestures, EEG signal and related brainwaves. Still many aspects in this area to work on to improve and make a robust system will detect and classify emotions more accurately. In this paper, we tried to explore the relevant significant works, their techniques, and the effectiveness of the methods and the scope of the improvement of the results
ECAWsoft: A Web based Climate and Weather Data Visualization for Big Data Analysis
Purpose: In Tanzania, data for climate and weather are normally analyzed by Meteorological Agency and then are published through TV, website and radio. Different stakeholders normally obtain the weather and climate data / information in a generalized way. This calls for a need of a system which allows data to be shared openly to different stakeholders so that they can analyze those data as per their specific needs. The paper presents the overview of the developed system, ECAWsoft. Also, it gives some few interfaces showing different outputs from the system. Findings: The goal of this paper has been attained by developing a working data visualization tool for climate and weather called ECAWsoft. The system is current operational and is providing open data for different stakeholders. It is user friendly and interactive with capability of displaying visualization of data as per fine granularity required by user. Development of open data system for data visualization has lead to a transparency system which is helping farmers, researchers, policy makers (etc.) to make informed decision on weather and climate. Practical implications: The system presented in this paper need to be scaled up so that more data from all weather stations in Tanzania can be populated in real time. Originality/value: The development and adoption of open systems for visualizing weather and climate data remains seriously lacking in many countries including Tanzania. This paper provides an overview of some initiative to fill such a research gap
Sustainable Producing Process using 3D Printing
This study is Sustainable producing process using the 3D Printing based on sustainable design. Generally, an approach of sustainability is strong to environmental aspects. 3D Printing technology has been in the spotlight of fabrication field as the new sustainable producing system. Additional, the progress of 3d printing will bring results to the personalizing producing system. It means that it can be produced from necessity. Also, it enables to producing part of discontinued models. The power of these advancements prevents over producing and reduces the lifecycle of product. Namely it reduces the term of works and saves the cost curtails the product lunching period. Therefore, it is the solution to the energy problem and resource saving. The guides line for sustainable producing is required to be controlled the problem of environment and social constraints. This research walks you through a few guidelines. And it offers the practical ways of doing sustainable system centered at the 3Dprinting producing system
Shoulder Surfing Resistant Graphical Authentication Scheme for Web Based Applications
Since the design and development of the first graphical authentication pioneered by Blonder in 1996, numerous research has been conducted on this area to be used in different scenarios especially on the Internet. One of the major motivators is the picture superiority which as studies have shown, states that images/pictures provide higher memorability as opposed to Text based authentication. However, graphical authentication is still faced with some challenges. In this paper, a shoulder surfing resistant graphical authentication scheme is proposed to tackle a major issue related to the graphical authentication schemes developed. The proposed scheme provides a high level of resistance to shoulder surfing attacks, mitigating the need to upload pictures and aids in finding chosen objects in the scheme. However, the schemes has some vulnerabilities which implies that there may not be a perfect graphical authentication scheme; each scheme has its merits and demerits making it a suitable candidate for different environment and/or event depending on its architecture
Review of Viruses and Antivirus patterns
Computer viruses are executable code programs that have a unique ability to replicate themselves in computer system and spread rapidly from one computer to another affecting file, documents and programs to alter their normal running. Viruses are represented as patterns of computer instructional codes that exist over time in computer systems. Antiviruses on the other hand are programs specially developed to counter challenges brought about by viruses as they protect the computer systems from virus attacks by heavily relaying on the controls enhanced in their databases. Antiviruses therefore scan the computer using some specific patterns of bytes indicative of known viruses. To stay current, they must be developers of these antiviruses update their databases whenever new viral strains arise. This paper reviews the various virus and antivirus patters and various detection schemes