Dr. Sarangam Kodati, Dr. M. Dhasaratham, Veldandi Srikanth, K. M. Reddy
{"title":"Detection of Fake Currency Using Machine Learning Models","authors":"Dr. Sarangam Kodati, Dr. M. Dhasaratham, Veldandi Srikanth, K. M. Reddy","doi":"10.55529/ijrise.41.31.38","DOIUrl":"https://doi.org/10.55529/ijrise.41.31.38","url":null,"abstract":"The goal of this research is to determine whether a given cash sample is genuine or counterfeit. Based on the colours, widths, and serial numbers described, several conventional procedures and methods exist for identifying counterfeit cash. Image processing proposes a number of machine learning techniques with a false-identity detection success rate of 99.9 percent for paper cash in today's era of modern computing. In algorithm-based techniques for detection and identification, various entities such as color, form, paper width, and image filtering on the note play a crucial role. This research proposes the application of K-Nearest Neighbors (KNN) followed by image processing as an effective method for spotting counterfeit money. KNN is favored for use in computer vision problems due to its outstanding accuracy, particularly when dealing with small datasets. This approach leverages the strengths of KNN in handling limited data to enhance the precision and reliability of counterfeit money detection. The accurate facts and information on entities and attributes associated to currency have been compiled in this banknote authentication dataset, which was developed using advanced computational and mathematical methodologies. AI calculations and picture handling are utilized for information handling and information extraction to accomplish an elevated degree of exactness and accuracy.","PeriodicalId":263587,"journal":{"name":"International Journal of Research In Science & Engineering","volume":"11 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139005413","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Hassan Muayad Ibrahim, W. Hamza, Mohammed Saad Abed
{"title":"Predicting Date Production in Iraq Using Recurrent Neural Networks RNN","authors":"Hassan Muayad Ibrahim, W. Hamza, Mohammed Saad Abed","doi":"10.55529/ijrise.41.22.30","DOIUrl":"https://doi.org/10.55529/ijrise.41.22.30","url":null,"abstract":"Artificial intelligence methods play an important role in predicting future values of time series and thus help in setting economic and social development plans. The study aimed to predict the production of dates in Iraq using recurrent neural networks, based on the production of dates in Iraq for the period from 2002-2021. The appropriate prediction model was chosen based on the MSE, MAPE, and MAE error measures. Recurrent neural networks that used the TRAINBR training function and the Purlin function were adopted to predict the production of dates in Iraq, which gives the lowest error value for the MSE, MAPE, and MAE error measures.","PeriodicalId":263587,"journal":{"name":"International Journal of Research In Science & Engineering","volume":"114 11","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138599715","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Next-Generation Railway Safety: Designing an Automatic Gate System with Voice-Activated Alarms","authors":"Md. Yasir Arafat, Sonot Roy, Ariful Alam","doi":"10.55529/ijrise.41.1.9","DOIUrl":"https://doi.org/10.55529/ijrise.41.1.9","url":null,"abstract":"Railway crossings are high-risk areas that demand constant vigilance and attention to ensure the safety of passengers and other road users. Automatic gate systems have been widely used to mitigate these risks, but their effectiveness is limited by the reliance on visual cues and their inability to alert drivers or pedestrians who are deaf or hard of hearing. To address this limitation, we propose a voice-activated automatic gate railway system that uses voice commands to control the gates and employs an audio alarm to alert road users of the approaching train and will give also alarm who walk on the railway. Our system consists of a voice recognition module, a control unit, and a network of sensors that detect the presence of trains and road users. When a train is detected, the gate closes automatically, and the system generates a voice alarm to alert nearby road users. The voice recognition module ensures that the system can be operated hands-free, making it convenient for drivers and pedestrians. Moreover, the audio alarm feature ensures that people with hearing impairments are alerted to the approaching train. We evaluated the performance of the proposed system using a prototype installed at a railway crossing in a high-traffic area. Our results demonstrate that the system is reliable and effective, with a high degree of accuracy in voice recognition and a low false positive rate. Our findings suggest that the voice-activated automatic gate railway system with an audio alarm is a promising solution to enhance the safety and security of railway crossings.","PeriodicalId":263587,"journal":{"name":"International Journal of Research In Science & Engineering","volume":"111 37","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138609338","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Comparison of Incremental Conductance and Perturb and Observe Techniques of Maximum Power Point Tracking for PV Systems","authors":"Nigam Bam Malla, Vision Parajuli","doi":"10.55529/ijrise.41.13.21","DOIUrl":"https://doi.org/10.55529/ijrise.41.13.21","url":null,"abstract":"The unceasing increase of the global energy call is linked with societies increasing awareness of the environmental effects of the extensive fossil fuels utilization. It has directed to the search for renewable energy sources, like as photovoltaic (PV) technology. The power from solar PV is connected directly to loads or fed to the grid. In general PV system is considered initially more expensive, however, it is the best suitable solution for standalone systems. With the developments in PV technologies, their applications increase rapidly, and grid-connected PV systems become popular. It indicates that PVs are more attractive to produce environmentally friendly electricity for various purposes. This research paper presents a comparison of incremental conductance (IC) and perturb and observe (P&O) in grid-connected PV. The study begins by providing a background on MPPT and the two specific techniques being evaluated. The P&O technique perturbs the voltage of PV array and notices the response in power output, while the IC method implements the slope of the power voltage curve to incrementally adjust the operating point. At the end, it was observed that the INC MPPT technique accomplished maximum power point quickly. Similarly, there was less fluctuation in I&C method than in P&O method. The paper concludes that the IC method is a more appropriate choice for MPPT in grid-connected PV systems due to its superior performance and robustness.","PeriodicalId":263587,"journal":{"name":"International Journal of Research In Science & Engineering","volume":"137 4‐5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138626299","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"AI Generated Music","authors":"Sameer Kumar, Suman Kumar","doi":"10.55529/ijrise.41.10.12","DOIUrl":"https://doi.org/10.55529/ijrise.41.10.12","url":null,"abstract":"In last few years we noticed that the usage of artificial intelligence growing very fast which is implemented in the photography, videography, computer vision and many Moe topics which we can’t explain in this paper but the point is AI is used everywhere. AI music generation is on of them in which we generate music through the AI with the help of machine learning models, we can generate music with the integration of AI generated music composition, emotional analysis, music generation algorithms, culture and genre exploration, purpose of music, music recommendations, copyright and ethical consideration, neuroscience, education and creativity, public perception. Our research paper is for the best music generation for the listeners of emotional music, cultural music and who wants the different music quality and quantity apart from the copyright issues.","PeriodicalId":263587,"journal":{"name":"International Journal of Research In Science & Engineering","volume":" 34","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138619203","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Molua. O. C, Ukpene. A. O, Vwavware. J. O, Nwachuku. D. N, Osuhor. P. O
{"title":"Geophysical Assessment of Coastal Erosion in Nigeria's Coastal Regions: Strategies for Protection and Management","authors":"Molua. O. C, Ukpene. A. O, Vwavware. J. O, Nwachuku. D. N, Osuhor. P. O","doi":"10.55529/ijrise.12.39.49","DOIUrl":"https://doi.org/10.55529/ijrise.12.39.49","url":null,"abstract":"The main purpose of this geophysical assessment was to learn as much as possible about how coastal erosion happens in Nigeria's coastal areas. The end goal was to come up with effective and efficient ways to manage and protect these areas. The research employed a variety of geophysical methodologies, such as GPR, electrical resistivity tomography (ERT), and bathymetric surveys, to collect essential data. GPR was utilized to examine the properties of soil and sediment beneath the surface. This investigation unveiled regions where soil cohesion was diminished, rendering them vulnerable to erosion. The organization ERT conducted a comprehensive analysis to determine the scope of saltwater intrusion and the dynamics of groundwater, with a specific focus on identifying areas susceptible to erosion. Bathymetric surveys were conducted to evaluate alterations in submerged topography and shoreline morphology over time, thereby elucidating patterns of shoreline regression. The assessments yielded significant insights into the vulnerabilities of coastal erosion, revealing distinct correlations among soil characteristics, saltwater intrusion, and shoreline alterations. The findings above provide a basis for the formulation of specific strategies to preserve and oversee Nigeria's susceptible coastal areas, thereby fostering the sustainable management of coastal ecosystems and ensuring the protection of coastal communities.","PeriodicalId":263587,"journal":{"name":"International Journal of Research In Science & Engineering","volume":"86 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139196876","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Smart Monitoring and Control System for the Household Electric Power Usage","authors":"Nigam Bam Malla, Bijay Ghalan","doi":"10.55529/ijrise.31.42.49","DOIUrl":"https://doi.org/10.55529/ijrise.31.42.49","url":null,"abstract":"The energy consumed is frequently derived from nonrenewable sources, which may be contributing to the planet's current state of global warming. People are becoming more aware of the dangers of energy waste and are increasingly seeking further relaxation by getting numerous appliances in their homes that are left on all day, and they sometimes leave their homes with a light bulb on, heaters on, televisions on, and so on. We present in this paper the formulation and construction of a home energy management system that provides householders with uninterrupted pieces of information on their power expenditure, allowing them to conserve energy. Even though the solution to this problem is already commercially unraveled, the goal of this research is to design and build a power control system that provides users with comprehensive information regarding his/her energy needs and permits for detecting, regulating, and advanced analytics by using sustainable energy as a source of power at the local level in a Nepalese micro-grid. This project highlights the importance of renewable energy in a microgrid.","PeriodicalId":263587,"journal":{"name":"International Journal of Research In Science & Engineering","volume":"78 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130567245","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Computer Engineering Impact and Role in Student Academic Achievement","authors":"Muzamil Hussain Al Hussaini","doi":"10.55529/ijrise.31.39.41","DOIUrl":"https://doi.org/10.55529/ijrise.31.39.41","url":null,"abstract":"Computer engineering is an ever-evolving field, and it is becoming increasingly popular for students to pursue a degree in this area. Not only can computer engineering offer students the chance to work with cutting-edge technology, but it also has a major impact on student academic achievement. In this blog post, we will explore why computer engineering is so important in helping students succeed academically, as well as its role in the future of education. We will also discuss the tools and techniques that educators can use to help foster student success. Read on to learn more about the power of computer engineering and how it’s transforming student achievement!","PeriodicalId":263587,"journal":{"name":"International Journal of Research In Science & Engineering","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125813553","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Modelling and Control of a Stand-Alone Hybrid PV-Wind Micro-Grid System","authors":"M. Venkateswari, K. M. Reddy","doi":"10.55529/ijrise.31.24.38","DOIUrl":"https://doi.org/10.55529/ijrise.31.24.38","url":null,"abstract":"Microgrids are quickly becoming a necessity for the future of electricity. The use of renewable energy sources provides a viable alternative to traditional methods of producing electricity. Generation of electricity via traditional energy sources has severe consequences for the natural world and for human well-being. Renewably sourced energy is widely available across the cosmos. Renewable energy is dependable, efficient, sustainable, and clean. Wind and solar power are becoming increasingly important in today's society. This paper details the design and control of a stand-alone micro-grid that utilises a Permanent Magnet Synchronous Generator (PMSG) powered by photovoltaic cells and a wind energy conversion device. In order to ensure efficient functioning of a microgrid system despite non-linear parameter fluctuations, a novel intelligent control approach based on ANFIS control has been presented. The designed system was constructed in MATLAB/Simulink and simulated under constant load and step load variations. The BESS was able to charge thanks to the controllers, despite fluctuations in the load and other external parameters like irradiance and wind speed.","PeriodicalId":263587,"journal":{"name":"International Journal of Research In Science & Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125735816","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Auction Algorithm: Peer-To-Peer System Based on Hybrid Technologies for Smallholder Farmers to Control Demand and Supply","authors":"M. Srikanth, R. Mohan, M. Naik","doi":"10.55529/ijrise.31.9.23","DOIUrl":"https://doi.org/10.55529/ijrise.31.9.23","url":null,"abstract":"The demand for agricultural goods could be affected by variables such as population growth and consumer tastes. Environmental and zoonotic risks jeopardise crop yields as well as the dependability of distribution and storage networks. Governments can aid in addressing issues of supply and demand by enacting policies like price controls and subsidies. Climate change threatens agricultural output and livestock health, while other climate variables have been polluted by outside sources. Pesticides not only endanger wildlife that isn't intended to be harmed, but they also poison the environment, killing beneficial insects and other organisms. The rising costs of agricultural goods may be mitigated, at least in part, through regional and global trade agreements. When third parties intervene in farming, farmers stand to lose money. One example is the utilisation of low-quality inputs, while another is predatory financing. So we are proposing an Auction Algorithm: peer-to-peer system based on hybrid technologies for smallholder farmers to control demand and supply. To implement an auction algorithm, you need to set up the auction platform and back-end systems. You may also need to integrate the platform with hybrid technologies such as block chain and machine learning. Together, machine learning and blockchain technology can help agriculture companies improve their forecasts of demand and supply, make it easier to keep track of inventory, and reduce risks and inefficiencies in the supply chain. Designing and constructing the blockchain, establishing the P2P network, testing and deploying the system these are the stages of bringing a peer-to-peer system to life using blockchain technology. When we implement the above technologies in the agriculture sector, they have the potential to improve efficiency, promote transparency, and eventually help farmers increase their earnings. This technology can help increase agricultural quality by enhancing industrial efficiency, transparency, and sustainability.","PeriodicalId":263587,"journal":{"name":"International Journal of Research In Science & Engineering","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123808306","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}