Journal of Science & Technology (JST)
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ANALYSIS, DESIGN AND STRUCTURAL ESTIMATION OF RCC STRUCTURE USING ETABS AND MICROSOFT EXCEL
Get PDFSince India is a developing country, many new projects are being started on a daily basis that must be finished within a certain time frame. The main factors in project completion are design and implementation, which aid in the stability of the structure. In this dissertation, we describe our novel method to design utilising ETABS and Microsoft Excel. We start by designing the structure and simulating it in ETABS software using various loads and load combinations according to the IS codebook, then exporting to MS Excel and additional processing delivers the entire detailed and schedule drawings of the RCC structure. Following the design of structural elements, we must acquire the bar bending schedule in order to achieve structural estimation. So, after we have the bar bending schedule, we can calculate the quantity of steel and concrete required in the building, and then we can estimate the cement, sand, coarse aggregate, and bricks based on the concrete given. The outcome of our proposed strategy demonstrates that the procedure is very efficient, saving time and money. Normally, the design process takes many hours to complete, but with the aid of this proposed approach, efficient solutions may be obtained in just a few minutes
Efficient Neural Network model for Cyber Crime Foreca
Get PDFDepending on the gravity of the offence, a person who commits a crime faces legal repercussions from the state or other authorities, including jail time and fines. There has been an alarming rise in the number and variety of criminal acts, necessitating the creation by government agencies of effective techniques for taking preventive actions. Traditional crime-solving methods aren't cutting it in today's environment of rising crime since they're too slow and inefficient. If we can devise methods for accurately predicting crime before it occurs or create a "machine" that can aid police officers, it will relieve the pressure on law enforcement and help to reduce crime. Machine learning (ML) and computer vision techniques should be used to accomplish this. A few examples are presented in this work, and their outcomes compelled us to conduct further research in this area. As a result of these statistical insights, crime detection and prevention strategies have changed significantly. Using a mix of machine learning and computer vision, law enforcement agencies or authorities can detect, prevent, and solve crimes at a much faster and more accurate rate, according to the goal of this study. In a nutshell, machine learning and computer vision can revolutionise law enforcement.
 
NANOCELLULOSE-AN EMERGING RESOURCE FOR FUTURE TECHNOLOGY: A REVIEW
Get PDFIn recent times, with development of nanoscience, nanocellulose gain importance in both research and mechanized areas due to its various properties. Usually fragmentation of naturally occurring polymers or bacterial action helps to produce nanocellulose. Nanocellulose is a natural polymer extracted from the lignocellulosic biomasses. They possess the combined cellulose properties with the landscapes of nanomaterials and provides innovent place for material science and its applications. It is an area with increasing interest due to its unique properties and functions. It has various application in environmental and biomedical fields due to its excellent surface chemistry and biological properties. Nanocellulose is a sustainable raw material with different application. In this review the classification, Isolation, sources, extraction methods, pretreatments, condition and nano cellulose’s mechanical properties were described. In addition, current application in tissue engineering, environment, surgical implants, oil and gas, cosmetics, drug deliveries by nanocellulose were discussed.
 
Impacts of Pesticides and Chemical Fertilizers on Human Health and Environment
Get PDFIn developing country like India, a marketable surplus of agriculture is the most important factor which influences the economic development of a country. To meet the demands of agriculture goods adequately and to feed the increasing population, the phenomenon of Green Revolution came into existence. Green Revolution, allowed developing countries like India to overcome continual food scarcity by producing more food and other agricultural products by using high-yielding varieties of seeds, modifying farm equipment, and substantially increasing use of chemical fertilizers. For an optimum production of agriculture produce and to feed the growing population, application of chemical fertilizers and pesticides has become necessary. Such type of agriculture practices allowed growth and sustainability of food grains but at the same time have the major impact on the environment and human health. This article provides a sketch of effects of chemical fertilizers and pesticides on human health and environment.
 
Addressing the Influential Factors of Cloud Computing: Assessment of Services under Deployment
Get PDFAs a new paradigm, cloud computing is drawing interest from organizations, communities, and individuals who believe it has the ability to revolutionize the way to do business. Traditional IT governance challenges are addressed while also providing possible benefits by this technology. If any business organization wants to remain competitive, it must keep up with technological advancements. Users have more alternatives when it comes to cloud computing because there are numerous service models and configurations. A multi-tenant system with a common pool of resources, and consumers from all walks of life, socio - economics, technology, geographic location and service requirements has always been a serious security issue. As a result of cloud computing deployment or management, as well as some other concerns like choosing the most appropriate cloud setup, real-time monitoring requirements and dependency on service providers and cloud management and data recovery are all hazards that can occur. Moreover, in a small percentage of cases, this can result in reality consequences. This paper focuses on cloud computing security, risk, and privacy concerns, along with other influencing factors
Effect ofRandom Mobility Models Pattern in Mobile Ad hoc Networks
Get PDFA mobile ad hoc network (MANET) is a network consisting of a set of wireless mobile nodes that communicate with each other without centralized control or established infrastructure. The mobility model represents the moving behavior of each mobile node (MN) in the MANET that should be realistic. It is a crucial part in the performance evaluation of MANET. In this paper, we have studied the effects of various random mobility models on the performance of AODV. For experimental purposes, we have considered three mobility scenarios: RandomWaypoint, Random Walk with Reflections and Random Walk with Wrapping. Experimental results illustrate that performance of the routing protocol varies across different parameters like number of nodes, packet delivery ratio and end to end delay
A SUMMARY OF CLOUD COMPUTING FOR DEVELOPING THE PROCESS OF E-LEARNING
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Online communication platforms are used to support e-learning, a kind of virtualized computing, and remote learning as a tool in the teaching-learning process. In the last two years, e-learning platforms have grown significantly. When the learning process is digitized, data mining for education information processing leverages information produced from internet databases to improve the educational learning paradigm for educational purposes. A potential platform for enabling e-learning systems is cloud computing. By offering a scalable solution for long-term transformation of computer resource use, it may be automatically changed. When engaging with large e-learning datasets, it is also easier to employ data mining methods in a distributed setting. The research offers an overview of cloud computing's present condition as well as illustrations of infrastructure that has been specifically created for a system like this. It also talks about e-learning techniques and cloud computing demonstrations.
 
Teaching Computer Science Students to Communicate Scientific Findings More
Get PDFCommunicate Scientific Security is a part of the Information Security framework and is specifically applied to the components that affect Communicate Scientific that include Computer Security, Data security and other wider realms of the Information Security framework. Communicate Scientific security has its own particular nuances and is one of the highest visible security components that affect the end user through their daily payment interaction with business. Communicate Scientific security is the protection of Communicate Scientific assets from unauthorized access, use, alteration, or destruction. Dimensions of Communicate Scientific security-Integrity, Non-repudiation, Authenticity, Confidentiality, Privacy, Availability. E- Commerce offers the banking industry great opportunity, but also creates a set of new risks and vulnerability such as security threats. Information security, therefore, is an essential management and technical requirement for any efficient and effective Payment transaction activities over the internet. Still, its definition is a complex Endeavour due to the constant technological and business change and requires a coordinated match of algorithm and technical solutions. In this paper we discussed with Overview of Communicate Scientific security, Understand the Online Shopping Steps to place an order, Purpose of Security in E-commerce, Different security issues in E-commerce, Secure online shopping guidelines.
 
PMDP: A Secure Multiparty Computation Framework for Maintaining Multiparty Data Privacy in Cloud Computing
Get PDFEnsuring the privacy and security of sensitive information is critical in the age of cloud computing, as data sharing and collaboration grow more common. Secure Multiparty Computation (MPC) appears as a viable cryptographic solution that allows several parties to collaborate and compute functions over their inputs while maintaining data confidentiality. To address the need for multiparty data privacy protection in cloud computing scenarios, the Privacy-preserving Multiparty Data Privacy (PMDP) framework is introduced. PMDP uses advanced cryptography methods and privacy-preserving mechanisms to protect sensitive data from semi-malicious adversaries. The framework takes advantage of the NTRU encryption scheme's ring structure, employing polynomial-based key generation, encryption, and decryption algorithms using a public-private key pair. PMDP also uses the Sample-and-Aggregate algorithm to segment, clip, and aggregate datasets for calculations, as well as Laplace noise to improve security. Furthermore, PMDP incorporates differential privacy concepts to formalize privacy guarantees by restricting the influence of individual data on query results. PMDP was developed collaboratively, drawing on experience from a variety of disciplines such as cloud computing, encryption, and privacy-preserving technologies. Thorough integration and testing processes verify the framework's functionality, durability, and efficacy in real-world cloud computing scenarios. PMDP's performance is evaluated against existing cryptographic approaches, and user feedback and iterative improvement are used to continuously improve the framework's usability and effectiveness. Overall, the systematic methodology used in the design, implementation, and evaluation of PMDP emphasizes its importance as a solid solution for protecting multiparty data privacy