2024

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A STUDY OF FACTORS CONTRIBUTING TOWARDS DECLINE IN THE INTEREST OF AN ORANGE GROWER IN AMRAVATI REGION, MAHARASHTRA
(Journal of Validation Technology, 2024-12) Kawitkar, Suresh S.
Nagpur is the marketing centre of oranges as it connected with rails and road and also falls in the centre place of India. But Amravati district possessed the biggest share of oranges within the Vidarbha. The orange crop plays a vital role within the economy of the region. The present research paper critically analyze the factors responsible to this worsen economy of orange grower compare to the past. Researcher has done thorough study and understood the entire orange growing process. He tried to understand the problems, constraints and limitation at stage of production. He analyzed and interpreted each stage till the series get completed. Sample size of 100 was sufficient enough to represent the population of orange grower farmers. Major factors responsible is heavy dose of chemicals, fertilizers and pesticides enhances the infertility of land which directly affecting the yield. Also it brings down the demand in international market especially in well developed and rich countries because of their quality conscious attitude. A very High labour cost plays the role of the catalyst in cost of production. It is also observed that though the qualified and experienced farmers are in this business of farming but lags in accepting the change, having very less intension to learn and accept the changes taking place outside. At the end researcher suggested possible solution to the problems.
An Optimal Time Constraint Algorithm For Energy Consumption In Hetrogeneous Mobile Networks
(International Journal of Intelligent Systems and Applications in Engineering (IJISAE), 2024-02-25) Patil, Shashikant
Ever-increasing information had led to a huge increase in mobile network energy consumption. Recent advancements in heterogeneous mobile networks and ground stations powered by renewable energy are present in the mobile communications sector. In this study, we explore the reasons, problems, and options for addressing the issue of lower electricity costs for these heterogeneous grids. With the variety of issues on traffic and energy consumption, low-cost electricity requires both spatially and temporally the allocation of resource optimization. Then it shows how to merge the improved green power time allocation and the dispersal of space cell traffic into a new approach. A proposed methodology is developed in four phases such as energy forecasting, customer association, green energy reallocation, and optimization. The whole optimization problem is broken down into four sub-problems. The results of the simulation show that the approach we propose may significantly reduce electricity prices.
Exploration of OpenCV for Hand Gesture Recognition Techniques - A Review
(Nanotechnology Perceptions, 2024) Meher, Kunal
This paper reviews hand gesture recognition techniques by leveraging the strengths of OpenCV and TensorFlow, two of the most widely used libraries in computer vision and deep learning. OpenCV's sophisticated image processing capabilities are utilized for preprocessing, feature extraction, and establishing a solid foundation for further analysis. TensorFlow is employed to construct and train deep neural networks capable of identifying fine-grained details and subtle variations in hand gestures. This integration allows for precise and accurate differentiation and understanding of a predefined set of gestures, demonstrating the potential for robust hand gesture recognition systems.
Blockchain Solution for Patient Record Security
(2024) Meher, Kunal
The presented Electronic Health Record (EHR) system aims to leverage blockchain technology to achieve enhanced security in transmission of data, improving data integrity, providing controlled access, interoperability, maximize productivity and empowering patients by empowering them to manage their health data. Blockchain system is recognized as a promising approach to these problems, providing a safe and decentralized platform for managing patient records. Our solution, which is built on blockchain technology, addresses critical issues in healthcare data management, such as unauthorized access, data tampering, and the absence of a unified and interoperable platform. By utilizing a distributed ledger, our system guarantees that patient data stays private while being easily available to authorized stakeholders. Smart contracts are utilized to govern access permissions and streamline the process of data sharing among healthcare providers, thereby facilitating a safe and efficient sharing of medical information. The presented EHR system utilize blockchain system to establish a protected, decentralized, and unchangeable record of patients’ medical histories. The system revolutionize the way health records are stored, accessed, and managed. By integrating Ethereum, Smart Contracts, and the Interplanetary File System (IPFS), the system ensures safe, transparent, and efficient handling of medical data. The integration of blockchain system into EHR systems has demonstrated considerable potential in mitigating some of the foremost obstacles within the domain. Due to its intrinsic decentralization, immutability, and openness, blockchain is the ideal tool for improving security, preserving data integrity, and building stakeholder trust in EHR systems.
ct-DNA compaction by nanoparticles formed by silica and gemini surfactants having hydroxyl group substituted spacers: In vitro, in vivo, and ex vivo gene uptake to cancer cells
(Journal of Photochemistry & Photobiology, B: Biology, 2024-09-15) Aggrawal, Rishika
Hybrid nanoparticles formed by Silica (SiO2) coated with cationic gemini surfactants with variable hydroxyl group substituted spacers, 12-4(OH)-12,2Br− and 12-4(OH)2-12,2Br− have shown a great extent of compaction of calf thymus DNA (ct-DNA) compared to conventional counterpart cationic surfactant, dodecyl trimethylammonium bromide (DTAB). Study shows not only the hydrophobicity of the spacer but also the hydrogen bonding interactions between the hydroxyl group substituted spacer and DNA have a great role in DNA compaction. 12-4(OH)2-12,2Br− is more efficient in compacting ct-DNA compared to 12-4(OH)-12,2Br− due to the stronger binding of the former with ct-DNA than the latter. While 12-4(OH)-12,2Br− makes 50 % ct-DNA compaction at its 0.63 μM concentration in the presence of SiO2 nanoparticles, the same % of compaction can be achieved at a concentration as low as 0.25 μM of 12-4(OH)2-12,2Br− . However, DTAB makes 50 % ct-DNA compaction at a concentration as high as 7.00 μM under the same condition. Therefore, the present systems address the very common challenge, i.e., cytotoxicity due to cationic surfactants. The system of 12-4(OH)2-12,2Br− coated SiO2 nanoparticles displays the maximum cell viability (≥90 %), causing the least cell death in the mouse fibroblast cells (NIH3T3) cell lines compared to the cell viability of ≤80 % for DTAB. 12-4(OH)2-12,2Br− coated SiO2 nanoparticles system has presented excellent in vitro cellular uptake of genes on mouse mammary gland adenocarcinoma (4T1) cells after incubating for 3 h and 6 h. In vivo study shows that 12-4(OH)2-12,2Br− coated SiO2 nanoparticles system takes the highest amount of ct-DNA in cells and tumors in a time- dependent manner. The ex vivo studies using different organs of the mice demonstrate that the tumor sites in the breast of the mice are most affected by these formulations. Cytotoxicity assays and cellular uptake studies suggest that the present systems can be used for potential applications for gene delivery and oncological therapies.
Performance exploration of random forest (RF) and naive bayes (NB) classifiers in identification of phishing attacks
(Taylor & Francis, 2024) Pandey, Rohit
With the expansion of the web, more and more programs are being hosted online and accessible in this way. Because of this change, a hacker has begun targeting computers using phishing websites. To identify a phishing attempt, many methods have been offered. However, more work has to be done to counteract this phishing risk. The purpose of this research is to examine and assess the machine learning approach’s performance in classifying phishing attacks. In order to detect phishing attempts inside the web site applications, this work used a heuristic strategy using machine learning classifier. This research evaluates three different machine learning classifiers for their ability to detect phishing scams, contrasting them with random forest (RF) and Naive bayes (NB). It shows that Random forest can successfully detect phishing assaults with a true positive rate of 96.65% by making use of characteristics unique to each website. Based on the outcomes, it seems to be a reliable classifier for identifying phishing scams.
Thermal and Frequency Response Analysis on Friction Stir Welding Tool with Different Materials by Using FEA Method
(Journal of Welding and Joining, 2024-07-02) Pandey, Rohit
Friction stir welding (FSW) is a solid-state joining technique that joins two facing workpieces without melting the workpiece material. It makes use of a deceased item. The region surrounding the FSW tool softens due to heat produced by friction between the revolving tool and the workpiece material. We are now working on specialised applications (lap and butt welding) while concentrating on test sorts. In addition to being faster than the state of the art, both provide lap welds that are 190% of the plate thickness, improve weld honesty, and lessen upper plate decline. Friction stir welding, or FSW for short, is a popular solid state joining method for soft materials like aluminium alloys. For stronger alloys like steel and titanium alloys, the FSW process's economic sustainability hinges on the creation of long-lasting, moderately cost equipment that reliably yields welds with outstanding structural integrity. The performance of the tool, weld quality, and cost are all impacted by material design and choice. This research reviews and critically examines many key FSW tool components, including process economics, geometry and load bearing capacity, frequency response analysis, tool degradation mechanisms, and tool material selection. The Finite Element Method (FEM) approach is used to characterise the process and provide a more comprehensive knowledge of the thermal effects and thermal inaccuracies on the tool materials.
Design and Analysis of Manual Pallet Stacker by Using FEM Method
(Proceedings of Third International Conference in Mechanical and Energy Technology, 2024-08-03) Pandey, Rohit
In this study, we found that the stress of S-460, aluminum alloy, and carbon fiber were 36.7, 36.81, and 36.76 MPa, respectively. The total deformations of S-460, aluminum alloy, carbon fiber, and other materials are 3.02, 8.4, and 2.0 mm. Looking at our various products of all materials, we choose composite material because it is light, heavy, and has very high deformation and stress under 1000 kg load. This is a simple static analysis using a single load step on the angle shown in Fig. 5.2. The bottom of the right pin hole is subjected to a conical high load, while the entire circumference of the left pin hole is limited (welded). The purpose of this question is to introduce ANSYS analysis techniques. This figure shows the length of a right angle. A36 steel with a Poisson's ratio of 0.27 and a Young's modulus of 30E6 psi is used to manufacture the bracket. The problem can be classified as plane stress because the cantilever is confined to the xy plane and is thin in the z direction relative to the length of the x and y sections (1/2 in. thick). A 2D model, nodes, points, and the model that was used to construct it are used to create the mesh. (It is optional to create nodes and points directly in ANSYS.) The stresses of carbon fiber, aluminum alloy, and S-460 were determined to be 36.7, 36.81, and 36.76 MPa, respectively, in this investigation. The total variations of S-460, aluminum alloy, CFRP, and other materials are 3.02, 8.4, and 2.0 mm. View our wide range of products from all materials. I will choose composite materials because they are light and heavy and have very high stress and strain at 1000 kg load. This is a simple static analysis using a single angular load step shown in Figure C.2. A high cone load is applied to the bottom of the right hole and the entire circumference of the left hole is fixed (welded). The purpose of this question is to introduce ANSYS analysis methods. This figure shows the length of a right angle. A36 steel with a Poisson's ratio of 0.27 and a Young's modulus of 30E6 psi is used to manufacture the bracket. The problem can be categorized as plane stress because the cantilever is confined to the xy plane and is longer and thinner in the z direction than the x and y parts (which are each 1/2 in. thick). Nodes, elements, and the model that was used to construct them are used to build 2D models. (It is optional to create nodes and points directly in ANSYS.)
A Review on 3D Printing Processes, Materials, Process Parameters and Applications
(Recent Advances in Mechanical Engineering, 2024-09-07) Pandey, Rohit
Additive manufacturing’s ability to create highly complex geometric forms has had a huge impact on the world today. The practical use of 3D plastic objects is limited by their anisotropy and poor properties. Adding fillers improves application versatility and performance. The advantages of 3D printing include low labour costs, low cost and ease of editing and modifying drawings. He specialises in additive manufacturing (AM), fused deposition modelling (FDM), powder-liquid 3D printing (PLP), virtual light processing (DLP), stereolithography (SLA), selective laser sintering (SLS) and electron beam melting. Studies have shown that many parameters such as angle, die tip, feed speed, scanning angle, extruder temperature and plate spacing affect the product delivered. Various methods have been proposed to improve these parameters. To choose the best sign for your chosen software, it will be useful to analyse the main features, advantages and disadvantages of the season. Likewise, research in these areas will further improve the performance of 3D printing projects.
3D Printing with Polymer Composites Materials,Processes and Applications—A Review
(Recent Advances in Mechanical Engineering, 2024-05-15) Pandey, Rohit
One of the most interesting and revolutionary production options currently available is 3D Printing, a rapidly developing technology. In recent years, this technology has attracted a lot of attention and achieved international renown. The focus of study continues to be on technological developments, notably in the field of material science, especially in light of potential future developments. Due to their mass customisation, design freedom, capacity to print complicated 3D structures, and quick prototyping, 3D Printing techniques are used to manufacture innovative multifunctional polymer composites, and structural characteristics. For a wide range of engineering and construction applications, composite or reinforced materials, particularly those in the polymer class, are becoming more and more common. They have scientific uses because of their outstanding physical, chemical, mechanical. This paper discusses the development of 3D printing technologies for matrix composite materials with excellent qualities and their uses in the industries of electronics, aerospace, automotive, and biomedical. An extensive introduction of additive manufacturing (AM) methods highlights fused deposition modelling (FDM), powder-liquid 3D printing (PLP), selective laser sintering (SLS), stereolithography (SLA), digital light processing (DLP), and robocasting. Discussion is held regarding how various filler additives, reinforcing fibres, nanoparticles, and ceramic polymer composites behave during manufacture.
Kalam and Lincoln – The Motivating Legends
(International Journal of Business and Economics Research, 2024) Jaffar. Mohamed
This article narrates the biography of great leaders APJ. Abdul Kalam and Abraham Lincoln. It includes the profile about their family background, positions held, books published, achievements and last days of life. The purpose of choosing these particular two leaders lies in the uniformity of their family background and achievements. Both the leaders occupied the President position of great democratic countries. The lesson from their life is how a zero can become a hero. Let's discuss this in detail.
AgroScan : Crop Identification Application using Artificial Intelligence Approach
(Nanotechnology Perceptions, 2024) Meher, Kunal
Artificial intelligence (AI) has the potential to revolutionize agriculture, particularly in the realm of crop analysis. AI-based systems can accurately identify crops in images, even under challenging conditions such as low light or shading. These systems have numerous applications, including crop monitoring and management, precision agriculture, and food safety and security. The goal of this research paper is to develop a robust, accurate, and efficient AI-based crop identification system. The system will be trained on an extensive dataset of crop images to identify various crops and detect certain diseases in new images. To evaluate our system's performance, we will compare it against new and emerging methods using a held-out test set. This study aims to develop an AI-driven crop identification system that will benefit farmers and other stakeholders in the agricultural sector by improving crop yields and quality, reducing costs, minimizing environmental impacts, and enhancing food safety.
Obstacles to the Full Realization and Adoption of Artificial Intelligence (AI)
(SEEJPH, 2024-10-25) Meher, Kunal
Artificial Intelligence (AI) holds transformative potential across various sectors, yet its journey to full realization and widespread adoption is impeded by several significant obstacles. These challenges span technical, ethical, societal, research and development, implementation, and regulatory domains, necessitating a comprehensive and multi-faceted approach to address them. Technical Challenges: AI systems require vast amounts of high-quality, labeled data, which is often unavailable or of poor quality. AI models also struggle to generalize beyond specific tasks, and their opaque decision-making processes hinder trust. Scaling AI to handle large datasets and interactions, while ensuring robustness and security against adversarial attacks, poses major technical hurdles. Ethical and Societal Challenges: AI can perpetuate and amplify biases, leading to unfair outcomes and privacy issues. AI-driven automation risks job displacement, necessitating measures for worker support and retraining. The rapid development of AI outstrips regulatory bodies' abilities to create appropriate frameworks, complicating responsible deployment. Research and Development Challenges: AI struggles to integrate information from different modalities and lacks human-like common sense and reasoning. Improving AI's learning efficiency to reduce its dependence on vast data is a significant research focus. Implementation Challenges: Integrating AI into legacy systems, addressing the talent shortage, and managing the high costs of AI development and deployment are substantial barriers. Ethical and Regulatory Uncertainty: The absence of universally accepted ethical guidelines and varying regulatory landscapes create uncertainty and potential misuse. Addressing these multifaceted obstacles requires a concerted effort from researchers, developers, policymakers, and society to create robust, fair, and transparent AI systems, unlocking AI's full potential and societal benefits.
Machine Learning Predication Techniques for Student Placement Job Role Predictions
(Nanotechnology Perceptions, 2024) Meher, Kunal
Placements is of endless importance for university students and educational institutions. It helps students build a solid foundation for their future careers and ensure a good enrollment record that gives them a good advantage in school or university. Machine learning is an analytical method that establishes analysis patterns. This article describes the features of the machine that can predict whether a student will see or not, as currently it only depends on the student's qualification, age and experience. The predictor uses three machine learning algorithms: Decision Tree, Naive Bayes, and Random Forest are used. The algorithms are then assessed according to the accuracy of the predictions.
Voice Based E-Mail System for Visually Impaired People
(Nanotechnology Perceptions, 2024) Meher, Kunal
This article talk about the internet and other technological advancements, communication has been easier in recent years. However, visually impaired persons find it difficult to use this equipment. Despite the fact that numerous new developments have been incorporated to assist them in effectively using the computer, this requires some expertise with the current technology. This study aims to develop an email system that will allow even the most unskilled visually impaired person to interact using the services without any prior training. The system provides the user with a voice based assistant which helps users to perform basic tasks related to handling email by giving voice commands thus providing a user friendly and interactive experience to the users.
Unique Business Style of America
(Journal of Research in Business and Management, 2024-11) Jaffar, Mohamed
Rich countries, developing countries and Underdeveloped countries differ in their capacity to invest in capital assets. Some countries developed in-depth knowledge and wisdom in applying science and technology. To achieve synergy, some countries import capital, human resources, materials, and technology from the open market. Countries use different approaches to mix and use their resources with imported resources. This article focuses on how the United States of America is in the top position economically and politically in the world. The priority of this article is to explain the type of business strategy America uses to achieve financial supremacy.
For Success Get Entrepreneurial Vision and Don’t Be a Bucket Puller
(International Journal of Business and Economics Research, 2024-09) Jaffar, Mohamed
In the realm of Entrepreneurship, Innovation and Risk-taking are the twin pillars of success. Entrepreneurs must put their utmost effort into realising their goals to emerge victorious. This article delves into the journeys of several successful entrepreneurs, underscoring their triumphs due to their unwavering dedication. It juxtaposes the contrasting attitudes of two individuals when confronted with the same challenge: one who achieves success through sheer determination and another who succumbs to failure due to a lazy approach. The essence of entrepreneurship lies in empowering individuals to work confidently and strive for success. Entrepreneurs are one of the primary driving forces behind innovative solutions in any economy. The entrepreneurial concept is associated with supporting technology to create a complete design of any business idea. The common public will fully accept and recognise some of the concepts. Then nobody can stop the grand success of this innovative idea.
Intellectual Property Strategy for Success of Startups -A critical analysis with special reference to India
(Journal of IPR [OUJIPR], 2024-01) Jaffar, Mohamed
Corporate Mistakes In Product Promotional Strategy
(IOSR Journal of Business and Management, 2024-09-01) Mohamed, Jaffar
The Global Village concept made the world population easily accessible to corporates. A company has to be very careful in designing its sales promotion techniques. It has to consider the variations in the cultures, sentiments and wants. Different options and values of other markets are focused on promoting the products and services. The sales promotion mix components must be proportionally used for optimal results. A company has to decide which product promotional strategy is ideal for its product: push, pull, or a combination of both. This article elaborated on the wrong promotional strategy adopted by many corporates to market their products. Ultimately, the products failed in the market due to the consumers' rejection, leading to enormous losses for the companies. Some products of reputed companies fail due to the wrong product promotion strategy. Analysing these failed models will enrich the corporate's knowledge of applying marketing strategies. The sales promotion strategy should match the product's quality and express the product's natural features, as discussed in this article; different sales promotion strategies and styles are available before the manufacturers. They choose the right strategy and promotion method to match the product and market. If the product and promotion strategy are perfectly matched, then the company can take the synergic value of profits.
Thermal and Frequency Response Analysis on Friction Stir Welding Tool with Different Materials by Using FEA Method
(Journal of Welding and Joining, 2024-06-18) Pandey, Rohit
Friction stir welding (FSW) is a solid-state joining technique that joins two facing workpieces without melting the workpiece material. It makes use of a deceased item. The region surrounding the FSW tool softens due to heat produced by friction between the revolving tool and the workpiece material. We are now working on specialised applications (lap and butt welding) while concentrating on test sorts. In addition to being faster than the state of the art, both provide lap welds that are 190% of the plate thickness, improve weld honesty, and lessen upper plate decline. Friction stir welding, or FSW for short, is a popular solid state joining method for soft materials like aluminium alloys. For stronger alloys like steel and titanium alloys, the FSW process's economic sustainability hinges on the creation of long-lasting, moderately cost equipment that reliably yields welds with outstanding structural integrity. The performance of the tool, weld quality, and cost are all impacted by material design and choice. This research reviews and critically examines many key FSW tool components, including process economics, geometry and load bearing capacity, frequency response analysis, tool degradation mechanisms, and tool material selection. The Finite Element Method (FEM) approach is used to characterise the process and provide a more comprehensive knowledge of the thermal effects and thermal inaccuracies on the tool materials.

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