Author (s) : DOI : 10.32692/IJDI-ERET/12.2.2023.2301

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1). F.O Aranuwa, Adekunle Ajasin University, Akungba Akoko, Ondo State, Nigeria
2). O. J. Popoola, Adekunle Ajasin University, Akungba – Akoko, Ondo State, Nigeria

Abstract :

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Long Short-Term Memory (LSTM) network, unlike traditional feed forward neural networks is capable of processing complex and sequential data with minutest error. This classifier possessed feedback connections and its activation patterns in the network change once per time-step, and this characteristics make its algorithm ideal for classification and prediction problems. This study designed a model for efficient classification and prediction of prostate cancer and prostate enlargement using the LSTM network. Prostate cancer and prostate enlargement, also known as benign prostatic hyperplasia (BPH) relatively shared similar risk factors and symptoms that makes their classification and prediction a complex task. Researchers have made efforts to address these issues, however the sequence prediction problems still draw more research attentions. The inability of the classical methodologies to learn and synthesize underlying relationships among the symptoms, always results in low predictive accuracy and high error rates. Data attributes for the study were sourced from selected medical institutions in the South Western, Nigeria. A total of 1,149 datasets were collected, prepared and made suitable for modeling through transformation and normalization processes. Samples were categorized based on specific attribute determinants, whose results could be Cancer, BPH and Normal (1, 2, 0). The dataset was trained and tested on 80/20 ratio on Anaconda platform. The experiment was set to run on 70 epochs, to determine the accuracy and ascertain the model’s efficiency and practicality. Results shown that the model correctly classified and predicted the status of the malaise with 96.7% accuracy over the benchmark of 92%. The model, haven suitably addressed the sequence prediction problems, which is an improvement on the previous models considered, is recommended for deployment in various health care sector for efficient classification and prediction of the disease.

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Author (s) : DOI : 10.32692/IJDI-ERET/12.2.2023.2302

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1). O.C. Okafor, Grundtvig Polytechnic, Oba, Anambra State, Nigeria
2). I.E. Ekengwu, Nnamdi Azikiwe University, Awka, Anambra State, Nigeria
3). A.M. Udefi, Grundtvig Polytechnic, Oba, Anambra State, Nigeria
4). O. K. Osazuwa, Nnamdi Azikiwe University, Awka, Anambra State, Nigeria

Abstract :

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Due to the challenges of poor quality and efficiency associated with the traditional method of defeathering chickens, in addition to the highest efficiency value of 95% that has so far been achieved in reviewed studies, the need to further improve on the efficiency of the chicken defeathering (CDF) machine necessitated this study. Therefore, this study employed a systemic approach to design and develop a high-efficient chicken defeathering machine (CDF) for commercial utilization. The frame material was optimized using Granta software in quest of getting a material of ‘high strength and low cost’ at minimal mass design. The selected material was further subjected to stress and deformation analyses using finite element analysis (FEA) technique ‘in order to ensure a non-plastic’ failure of the material during service conditions. The other components of the CDF machine were designed and analyzed for optimal performance assurance. The results obtained from the study showed ‘that low carbon steel material was suitable for the’ CDF frame design and all the CDF components design assured the safety of the design. An average efficiency of 98.1% was obtained at an average operating time of twenty seconds. Hence, this machine can be commercialized for low-time and high-efficient processing of poultry birds.

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Author (s) : DOI : 10.32692/IJDI-ERET/12.2.2023.2303

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

Abstract :

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Enhancing the fatigue life of asphalt concrete by implication of coal fly ash additive was investigated in this work. Asphalt concrete mixtures have been prepared with optimum binder requirements; additional mixtures were also prepared with ±0.5 % binder above and below the optimum. Coal fly ash was implicated into the asphalt cement binder in the wet process. The mixtures were compacted using laboratory roller compaction into a slab mold. Beam specimens were obtained from the prepared slab samples and tested for fatigue life at 20 ? with the aid of dynamic bending beam test and three constant strain levels of (750, 400, and 250) microstrain. Specimens were subjected to the long term ageing process before conducting the dynamic test. It was observed that implication of coal fly ash in the asphalt concrete exhibit longer fatigue life regardless of the implemented constant strain level. It was concluded that the coal fly ash exhibit negative influence on the fatigue life of asphalt concrete after ageing as compared with the control mixture.

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Author (s) : DOI : 10.32692/IJDI-ERET/12.2.2023.2304

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1). Mulbah Rufus Flomo, Sharda University, Greater Noida, Uttar Pradesh, India
2). Sukalpaa Chaki, Sharda University, Greater Noida, Uttar Pradesh, India

Abstract :

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Many technologies are now utilized to remediate environmental contamination, and phytoremediation is an environmentally friendly technology poised to become one of the most important eco-friendly technologies employed by scientists in their study. Besides food and shelter, clean water is a requirement in human life. The primary sources of clean water are surface and subsurface water. However, due to fast population expansion and increased industrialization worldwide, many water sources are becoming contaminated. As a result, wastewater must be thoroughly treated before being discharged into the environment. Phytoremediation is a type of bioremediation that uses plants to remediate wastewater. Aquatic plants have the ability to absorb excess toxins such as organic and inorganic, heavy metals, and pharmaceutical pollutants found in agricultural, household, and industrial effluent. Salvinia molesta and Pistia stratiotes are two aquatic plants that have been widely employed in the treatment of agricultural, household, and industrial wastewater. The availability, durability in a hazardous environment, bioaccumulation potentials, invasive mechanism, and biomass potentials of these plants account for their widespread use. This review study examines the key functions and potentials of aquatic plants in wastewater remediation.

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Author (s) : DOI : 10.32692/IJDI-ERET/12.2.2023.2305

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1). Arun Kumar Datta, Central Power Research Institute, Bhopal, MP, India
2). Sandeep Singh, Central Power Research Institute, Bhopal, Madhya Pradesh, India

Abstract :

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Conventional stopping methodologies of a machine comprise a massive waste of energy stored in its rotating masses. This energy is generally dissipated in the atmosphere in form of heat. There is substantial amount of energy consumption and time lapses involved in the whole braking process. This paper focused on the braking methodologies applied on two large short circuit generators. Out of these generators one is employed with the old conventional technique named as DC injection braking whereas second generator is having the benefit of regenerative braking. Both these means of applied braking are deliberated in this paper with technology, advantages and disadvantages.

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Author (s) : DOI : 10.32692/IJDI-ERET/12.2.2023.2306

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1). Yogendra Yadawa, Rajiv Gandhi Institute of Petroleum Technology, Jais, Amethi, Uttar Pradesh, India

Abstract :

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Erosion poses a significant challenge across various industries, including thermal power plants and oil refineries. In this study, we employed commercial Computational Fluid Dynamics (CFD) software, ANSYS-FLUENT, to explore the impact of inserting a twisted tape at different axial locations upstream of the pipe's flow. Our investigation focused on the influence of average particle size and inlet velocity on erosion patterns at these various tape positions. Our findings reveal that the introduction of a twisted tape induces a swirling motion in the upstream section of the pipe. This swirling motion leads to a reduction in maximum momentum within the pipe's elbow, consequently diminishing the erosion rate in that specific region. Additionally, a noteworthy discovery is that, despite the twisted tape itself being susceptible to erosion, the erosion rate within the elbow decreases as the insertion point of the tape is positioned further upstream of the elbow.

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Author (s) : DOI : 10.32692/IJDI-ERET/12.2.2023.2307

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1). M. K. Vaishnav, Darshan Institute of Engineering & Technology, Rajkot, Gujarat, India
2). M. V. Vekariya, Darshan Institute of Engineering & Technology, Rajkot, Gujarat, India
3). Vijay Zala, Jyoti CNC Automation Ltd, Rajkot, Gujarat, India

Abstract :

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Redesigning and developing the base structure of a Vertical Machining Centre (VMC) represents a significant endeavor in the realm of manufacturing and machining technologies. Nowadays VMC has a conventional structure design having too many ribs and cores. That conventional method of structure design involves an orthodox mindset related to ribbed structure design in addition to the conventional method of pattern making and casting methodology. Industries need to advance VMC machines productively and cost-effectively for mass production. The present work is done for the redesign of the VMC machine base with the use of Finite element analysis software along with a detailed study of foundry practices to eliminate certain issues like multiple core design, core setting method and time, draft angle consideration, limitation of rib thickness, etc. In essence, the primary objective of this research is to create the best possible design of the base structure of the VMC machine such that increased productivity and cost-effectiveness with higher stiffness as compared to the conventional design of the base. In summary, the research involves a holistic approach to redesigning the VMC base structure by leveraging structural analysis and applying advanced optimization techniques such as shape, size, and mass optimization. By systematically evaluating, refining, and validating the design through analytical and experimental methods, the objective is to develop a more efficient, reliable, and cost-effective base structure for Vertical Machining Centers in modern manufacturing applications.

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