Author (s) : DOI : 10.32692/IJDI-ERET/13.1.2024.2401

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1). Animesh Ghosh, Narula Institute of Technology, Agarpara, West Bengal, India
2). Debrupa Pal, Narula Institute of Technology, Agarpara, West Bengal, India
3). Debangan Paul Chowdhury , JIS University, Agarpara, West Bengal, India
4). Sudipta Kumar Dutta, JIS University, Kolkata, West Bengal, India

Abstract :

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Crowdfunding serves as a method for individuals or organizations to gather funds for projects through small contributions from a large number of people, typically facilitated online, as exemplified by platforms like Kickstarter. The adoption of crowdfunding platforms has simplified the connection between business owners and a global audience willing to support their initiatives. However, the current crowdfunding system faces challenges such as high maintenance costs, limited system openness, and a lack of user confidence. Addressing these issues, a proposed project introduces a blockchain-based solution with an immutable ledger recording every transaction. Utilizing a peer-to-peer network, each system serves as both a client and a server. The project incorporates features like a voting mechanism for donors and an alert system for low gas prices, enhancing transparency through blockchain technology and fundamentally distinguishing itself from existing solutions. By leveraging smart contracts, the project aims to ensure the protection of funds and provide users with enhanced transparency and trust in the crowdfunding process.

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Author (s) : DOI : 10.32692/IJDI-ERET/13.1.2024.2402

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1). B. Breedlove, University of Mississippi, Oxford, MS, USA
2). Maharshi Dave, University of Mississippi, Oxford, MS, Mississippi, USA
3). Dr. Tejas S. Pandya , University of Mississippi, -, USA
4). Dr. Jason Street , Mississippi State University, -, USA
5). Dr. Ananda Nanjundaswamy , College of Agriculture and Applied Sciences, Alcorn State University, -, USA

Abstract :

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Wood-based bio-composites are materials that combine wood or wood-derived components with bio-based polymers, fibers, or other natural materials to form a composite material. These composites are designed to utilize renewable and sustainable resources, such as wood, in their composition. The Department of Mechanical Engineering at the University of Mississippi, The Department of Sustainable Bioproducts at Mississippi State University, and Alcorn State University focused on creating new wood-based bio-composites from agricultural and plant-based materials in response to the current trends toward natural-based composites. It is imperative to study the structural properties of newly developed bio-composites to find the potential capabilities and applications. The materials tested were made from southern yellow pine (SYP), a commercial urea-formaldehyde (UF Unibond) resin, and a polymeric methylene diphenyl isocyanate (pMDI) resin using a Dieffenbacher hot press. The dynamic and damping properties were determined using the hammer excitation vibration technique. The responses were obtained from the frequency domain for the fundamental natural frequency (fn). The panel made using 4% pMDI resin (Material 1) demonstrated the highest average storage modulus (4.32 GPa), indicating superior stiffness and potential for use in load-bearing applications where structural integrity is essential. The panel made with 5.3% UF resin (Material 2) exhibited the highest average damping ratio (0.02), suggesting its effectiveness in reducing vibrations and providing damping in dynamic applications. Overall, these materials have distinctive attributes that cater to specific application requirements. Any of the three materials could be considered a viable option depending on the intended use.

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Author (s) : DOI : 10.32692/IJDI-ERET/13.1.2024.2403

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1). V. Anbarasu , Government Arts and Science College, Arakkonam, Tamil Nadu, India
2). Dr. S. Selvakani, Government Arts and Science College, Arakkonam, Tamilnadu, India
3). Mrs. K. Vasumathi, Government Arts and Science College, Arakkonam, Tamilnadu, India

Abstract :

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In order to mitigate the proliferation of deceptive employment solicitations on the internet, a sophisticated automated tool employing machine learning-based classification methodologies is posited within the confines of this scholarly work. Various classifiers are deployed to scrutinize online postings for fraudulent employment opportunities, and the outcomes of these classifiers are systematically juxtaposed to ascertain the most efficacious model for detecting spurious job listings. This approach facilitates the identification and subsequent elimination of counterfeit job posts from an extensive array of online submissions. The investigation encompasses two principal categories of classifiers: individual classifiers and ensemble classifiers, both instrumental in discerning deceitful job postings. Nonetheless, empirical findings unequivocally affirm that ensemble classifiers exhibit superior efficacy in discerning scams when compared to their singular counterparts. The technological landscape has ascended to a heightened echelon, ushering in a paradigm wherein corporations engage in the recruitment of personnel through the conduit of online methodologies. This not only expedites the acquisition of requisite personnel for businesses but also augurs well in terms of cost-effectiveness. The virtual expanse facilitates individuals in procuring employment commensurate with their qualifications and desired occupational spheres. However, the veracity of these posted job opportunities remains shrouded, posing an inherent challenge for job seekers. In response to this predicament, we proffer a pioneering software meticulously crafted to prognosticate the authenticity of job posts, discerning between genuine and spurious listings. Embarking upon the realm of machine learning, our innovative system, aptly named "Fake Job Post Prediction," leverages the formidable Random Forest classifier. This sophisticated algorithm boasts a commendable efficiency in generating precise outcomes, with a remarkable 98% accuracy vis-à-vis its predecessors. Recognizing the perils faced by students or job seekers navigating the labyrinth of online employment opportunities, our system becomes a beacon of protection against unwittingly submitting personal information to fraudulent job posts. Instances of potential deception, such as solicitation of application fees or promises of employment contingent upon monetary transactions, are thus preemptively averted through the discerning capabilities of our framework, thereby safeguarding users from falling prey to scams.

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Author (s) : DOI : 10.32692/IJDI-ERET/13.1.2024.2404

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1). S. I. Sarsam, Sarsam and Associates Consult Bureau (SACB), Baghdad, Baghdad, IRAQ

Abstract :

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The Asphalt concrete mixtures may exhibit changes in their mechanical behavior through the variation in environmental conditions and sustained loading time which enhances their fatigue life. In the present work, the role of the variations in the phase angle of the asphalt concrete on its fatigue life under three constant micro strain levels of (750, 400, and 250) microstrain to simulate the actual loading of the pavement in the field (heavy, moderate and low traffic volume) when experiences various environmental conditions of (5, 20, and 30) ? have been assessed. Asphalt concrete mixtures were prepared using its optimum binder requirements, and then experienced laboratory roller compaction into a slab mold to a target density. Beam specimens were extruded from the prepared slab samples and tested using dynamic flexural stresses for fatigue life. It was noticed that longer fatigue life could be achieved at high testing temperature, and more sustained time is consumed to resist the deformation. The fatigue life from the phase angle point of view increases as the testing temperature rises. It was noted that the phase angle at failure declines by (2.5, and 62.5) %, (16.6, and 58.4) %, and (6.2, and 85.4) % when the testing environment decline from (30 to 20 and 5) ? respectively under (250, 400, and 750) constant microstrain levels respectively. The fatigue life increases by (2.3, and 3.1) folds, (7.1, and 11.5) folds, and (32.3, and 39) folds when the testing temperature rises from (5 to 20 and 30) ? under (heavy, moderate, and low) traffic loading respectively. It can be revealed that the phase angle decline in general as the constant strain level increase for any specific testing environment and the fatigue life from the phase angle point of view increases as the testing temperature rises and decline as the constant strain level increase.

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Author (s) : DOI : 10.32692/IJDI-ERET/13.1.2024.2405

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1). Pragati Nehete, Pimpri Chinchwad College Of Engineering, Pimpri-Chinchwad, Maharashtra, India
2). Radhika Gaikwad, Pimpri Chinchwad College Of Engineering, Pimpri-Chinchwad, Maharashtra, India
3). Rachana Y. Patil, Pimpri Chinchwad College of Engineering, Pune, Maharashtra, India

Abstract :

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The proliferation of counterfeit goods poses a grave threat to both industrial sectors and consumers, with increasing incidents negatively impacting sales, profits, and brand credibility. Counterfeiting not only hampers a company's revenue streams but also erodes consumer trust in the open market. The lack of transparency in manufacturing and distribution processes exposes consumers to manipulated or falsified information, further undermining trust in product authenticity. To address this pressing issue, we present a blockchain-based anti-counterfeiting system designed for comprehensive product traceability across the supply chain. Leveraging public or permissionless blockchain technology, our proposed system records supply chain data in immutable, transparent, secure, tamper-proof, and trusted blocks. A QR code integration enhances the system's security and usability, allowing consumers to easily verify product authenticity. This innovative solution aims to restore consumer confidence, mitigate the adverse effects of counterfeiting on businesses, and fortify supply chain security. The paper delves into the technical intricacies of the proposed method, highlighting the transformative potential of blockchain technology in safeguarding product traceability and ensuring authenticity throughout the supply chain.

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