International Journal of Innovations in Engineering Research and Technology
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CONTRIBUTION TO THE AUTHENTICITY OF DIGITIZED HANDWRITTEN SIGNATURES THROUGH DEEP LEARNING WITH RESNET-50 AND OCR
Get PDFThis paper explores the contribution of authenticity to digitized handwritten signatures using a deep learning-based approach, implementing ResNet-50 and optical character recognition (OCR). Signature authentication is a crucial issue in various fields, such as transaction security, protection of official documents, and fraud prevention. Our approach aims to improve the reliability of signature verification systems by exploiting the advanced capabilities of deep neural networks. Experimental results demonstrate a high authentication accuracy of 94% on our collected database and 100% on ICDAR 2011, validating the effectiveness of the proposed approach. The advantages of this method include more excellent resistance to circumvention techniques, adaptability to different signature styles, and robustness against intentional tampering
THE LIFE WAY OF ABDULLA QAHHOR
Get PDFAbdulla Qahhor, a renowned Uzbek writer, was a prominent figure in the literary circle of Central Asia during the early 20th century. Born on September 14, 1899, in the ancient city of Bukhara, Uzbekistan, Qahhor\u27s life was marked by a tumultuous era of political upheaval, social transformation, and cultural evolution. Through his remarkable literary works, Qahhor not only reflected changing times but also left an indelible mark on the literary landscape of Uzbekistan. Growing up in a traditional family, Qahhor was exposed to the Islamic education system, which laid the foundation for his future literary pursuits. His early fascination with literature was nurtured by his father, a respected scholar and teacher, who instilled in him a deep appreciation for classical Arabic and Persian literature. This early exposure to the rich cultural heritage of Central Asia had a profound impact on Qahhor\u27s writing style, which would later come to be characterized by its unique blend of traditional and modern elements
IMPACT OF PRODUCT QUALITY AND SERVICE QUALITY ON CONSUMER SATISFACTION
Get PDFThe rapid growth of food business in Indonesia also leads to increased competition. Restaurants should have the advantage of being able to compete in order to survive and win the competition in this food business. One way that can be used to achieve such excellence is to implement the right quality of service and product quality so as to improve customer satisfaction and create consumer loyalty. This research aims to analyse the impact of service quality and product quality on customer satisfaction and the customer loyalty in restaurants and to know which factors are influential in the restaurant. This research aims to determine the influence of product quality and service quality on consumer satisfaction at Mie Gacoan Kenjeran 2 Surabaya. The research method uses quantitative methods. The data used are primary and secondary data. Data was obtained by distributing questionnaires to a sample of 97 respondents. This research uses a purposive sampling method and the analytical tool used is multiple linear regression with the help of the SPSS 29 program. Partial test results show that product quality has a significant effect on consumer satisfaction, service quality has a significant effect on consumer satisfaction. For the simultaneous test, it shows that product quality and service quality have a significant effect on customer satisfaction. The coefficient of determination value is 0.665, meaning that the regression model obtained is able to explain that product quality and service quality variables can influence consumer satisfaction at Mie Gacoan Kenjeran 2 Surabaya by 66.5%. Meanwhile, the remaining 33.5% is influenced by other variables not explained in this research
PERFORMANCE EVALUATION OF A MASSIVE MIMO M-MMSE SYSTEM IN TERMS OF ENERGY EFFICIENCY BASED ON THE POWER CIRCUIT CONSUMPTION MODEL (PC)
Get PDFThe implementation of massive MIMO technology presents a significant boost in throughput mobile networks. However, this technological advancement comes increases energy consumption. The amalgamation of Massive MIMO with M-MMSE serves as a strategic solution, effectively mitigating energy consumption while delivering substantial throughput and improved Energy Efficiency (EE) compared to alternative techniques. Our study delves into the Energy Efficiency of massive MIMO using the Power Circuit Consumption (PC) model, providing valuable insights into its performance. This analytical approach not only enables a reduction in energy usage but also facilitates a noteworthy enhancement in Spectral efficiency (SE) and EE concurrently. This concurrent improvement addresses the challenge posed by the initial surge in energy consumption associated with massive MIMO deployment, ensuring a sustainable and efficient integration into mobile networks
IOT ENABLED SMART ADVERTISEMENTS RECOMMENDER FOR SHOPPING MARTS
Get PDFProduct advertisement is very crucial in a successful business for several reasons, Advertisement helps increase the visibility of a product. With so many products available in the market, effective advertisement ensures that your product stands out and reaches a wider audience. Advertising a product is also a way to build and reinforce brand awareness. Consistent advertisement helps in creating a strong brand image in the minds of consumers, also the consumers will remember and choose their products when making a purchase. Continuous and strategic product advertisement is essential for the long-term success of a business. It helps in maintaining visibility, adapting to market changes, and staying relevant in the eyes of consumers. Product advertisement can indeed present various challenges, and addressing these challenges effectively is crucial for a successful marketing campaign that is 1) Small company budgets can restrict the range and effectiveness of products advertisement activities 2) Evolving consumer preferences and behaviours can make it difficult to predict how to effectively reach your audience 3) If your brand is not well-known, getting attention for your product can be a hurdle 4) Not fully understanding your target audience can lead to ineffective advertisement strategies. However, the Internet of Things (IoT) plays a significant role in product advertisement and overcome the above listed issues by providing innovative ways to enhance customer engagement, streamline marketing efforts, and gather valuable data for targeted campaigns. This Research investigate the real-time product advertisements using IoT devices and allowing different companies businesses to monitor the advertisement campaigns instantly and remotely for targeted products over different marts and different city locations. We achieved successful results on each remote location as well as targeted mart using ESP-8266 WiFi deployed on each product shelf. In this architecture the overall communication held over the http protocol using RestFul API and Arduino
FLEXURAL BEHAVIOR OF BAMBOO REINFORCED FERROCEMENT PANELS
Get PDFFerrocement is an emerging technology that differs from conventional reinforced concrete by the manner in which the reinforcing elements are dispersed and arranged. It consist of closely spaced, multiple layers of wire mesh embedded in cement mortar. Traditionally steel is used as reinforcement in concrete structures; but because of cost and availability, replacement of steel with some other suitable material as reinforcement is now a major concern. The construction industry is the main consumer of energy and materials in most of the countries. Since Bamboo is a natural, ecologically friendly, cheap and also readily available material; it can be use as a substitute of wire meshes in reinforcing of Ferrocement structures. This study describes the results of testing of Ferrocement beams reinforced with different number of Bamboo mesh layers and variation in spacing of bamboo reinforcement. The main objective of these experimental tests is to study the effect of using different numbers of Bamboo mesh layers and spacing variation on the Flexural strength of Ferrocement beams
A REVIEW PAPER ON FLEXURAL BEHAVIOR OF BAMBOO REINFORCED FERROCEMENT PANELS
Get PDFBy spreading and organizing the reinforcing elements differently from traditional reinforced concrete, ferrocement is a developing technology. It is made up of numerous layers of closely spaced wire mesh immersed in cement mortar. Steel has historically been utilized as reinforcement in concrete constructions, however due to cost and availability issues, it is becoming increasingly important to replace steel with another appropriate material. In the majority of the world\u27s countries, the building sector is the largest user of resources and energy. Because bamboo is an inexpensive, naturally occurring material that is also widely available, wire meshes for reinforcing Ferrocement buildings can be replaced with bamboo. The testing findings of cement beams reinforced with varying numbers of bamboo mesh layers and bamboo reinforcement spacing are presented in this paper. These experimental experiments\u27 primary goal is to determine how utilizing varying numbers of bamboo mesh layers and spacing variations affects the flexural strength of cement beams
NOVEL DEVICE FOR ENHANCING TUBERCULOSIS DIAGNOSIS FOR FASTER, MORE ACCURATE SCREENING RESULTS
Get PDFTuberculosis (TB) continues to be a leading global cause of illness and death, highlighting an urgent need for rapid, precise diagnostic solutions. Conventional methods, such as chest X-rays and sputum smear microscopy, often lack adequate sensitivity and specificity, resulting in treatment delays and increased transmission. This research introduces a novel device leveraging deep learning to enhance TB diagnosis, utilizing a convolutional neural network (CNN) model designed to automatically detect TB-related abnormalities in chest X-ray images. The device, powered by a large annotated dataset, incorporates transfer learning to fine-tune pre-trained models, maximizing diagnostic performance. Key evaluation metrics—accuracy, precision, recall, and F1-score—demonstrate the model’s efficacy compared to traditional diagnostics. Preliminary findings show that the AI-driven approach significantly enhances diagnostic accuracy, reducing false negatives and facilitating faster screenings. These results suggest that embedding AI technology in clinical workflows can enable earlier TB detection, optimize healthcare resources, and improve patient outcomes. Future directions include testing the device across diverse clinical environments and exploring integration with mobile health technologies to broaden access to rapid TB diagnostics
COMPARATIVE EVALUATION OF AI MODELS FOR PREDICTING STROKE RISK USING GENETIC AND LIFESTYLE FACTORS
Get PDFStroke remains a leading cause of disability and mortality worldwide, with genetic and lifestyle factors playing pivotal roles in its onset and progression. This study provides a comprehensive evaluation of various artificial intelligence (AI) models in predicting stroke risk, with a focus on integrating genetic predispositions and lifestyle variables to enhance predictive accuracy. By leveraging data from a large cohort, we examine machine learning algorithms, including decision trees, random forests, neural networks, and ensemble methods, to determine their efficacy in stroke prediction. Each model’s performance is assessed based on accuracy, precision, recall, and F1 score. Additionally, we explore the interpretability of each model, emphasizing the need for transparent AI solutions in healthcare. The findings demonstrate that certain algorithms, particularly ensemble approaches, yield higher predictive accuracy while balancing computational efficiency and interpretability. This research underscores the importance of integrating genetic and lifestyle data in AI-driven health applications, offering significant insights for early intervention and personalized healthcare strategies aimed at stroke prevention
LEGENDARY NARRATIVE OF KING VIKRAMADITYA: AN ARCHETYPE FOR SPIRITUAL TRANSFORMATION
Get PDFThe immortal memory of the legendary king Vikramaditya is not merely a eulogised ideal belonging to the past, but is rather a potential living reality which inspires generations even now. A substantial expanse of Indian folk literature continues to rekindle our consciousness with the ephemeral memory of king Vikramaditya. The mythic narrative concerning legendary king Vikramaditya contains archetypal data, which can aid in restructuring a better world view for contemporary socio-cultural order based on spiritual reinforcement