Agriculture plays a major function on improving the financial system of the United States. modern-day farming technique like Hydroponics is in rise which is soilless farming tradition and the flowers have been grown with the help of nutrient solutions.
Quantum-dot design is diagnosed as one of the rapidly developing nanotechnologies and an exchange to MOSFET design on the nanoscale. he QUANTUM DOT DESIGN generation is accomplished of constructing nanoscale digital circuits with a higher switching speed. Adders are generally determined in the grave route of masses of constructing blocks of microprocessors and DSP chips.
Agribusiness is considered as the significant piece of ways of life for the human species as it's far the fundamental wellspring of food grains what is more, other unrefined materials expected for man or lady. It performs significant part in the advancement of country's financial framework and improvement. It additionally gives large venture openings to everybody. improvement in agrarian section is fundamental for the advancement of monetary nation of the country.
These days, wearable strategies are broadly utilized in the Internet of Things (IoT). The examined IoT gadgets are utilized in different applications like shrewd home, security the executives, training establishments, etc. Among the different application,
These days, staggered inverters (MLIs) are acquiring huge standing for the high power PV bundles. a large portion of the customary MLIs, the CHB MLI consolidates lower voltage evaluated enter DC resources, which lessen the voltage stress all through the devices. in any case, the CHB MLI requires two or three PV assets as discrete DC hyperlink voltage resources which make more ways for spillage flows. subsequently, it's far a hard test to adapt to the spillage flows on account of CHB MLIs.
In this examination, a Bridge wellbeing checking framework utilizing IoT is created utilizing remote innovation. The assistance of progression in sensor innovation has brought the computerized continuous extension wellbeing checking framework.
A new use of SEPIC (Single Ended Primary Converter) and Cuk converter for distributed generating systems is described in this study. The use of both converters in a DC/DCconverter setup is advocated. The SEPIC and Cuk converters share the switching node in the resultant architecture since they have the same instantaneous duty cycle.
In the transformative realm of healthcare, Artificial Intelligence (AI) stands out as a beacon of hope for drastically improving patient outcomes. This narrative explores the strategic deployment of AI to enhance diagnostics, personalize treatments, and predict medical events before they unfold. Overcoming challenges such as data privacy, ethical considerations, and the need for substantial infrastructure is crucial for success.
The domain of technology and communication is ever-expanding, and so a conversation about a key technology that is a part of this domain is in order. That key technology is the Internet of Things, or IoT. IoT technology is of various types, from the commonly known Bluetooth and Wi-Fi, to the somewhat known ones like NFC (Near Field Communication) and Zigbee, and then also to some of the lesser-known ones like Sigfox.
Legacy systems, the workhorses of many organizations, often lack the agility and functionality of modern web platforms. Upgrading these systems presents a unique challenge – ensuring the modernized version not only replicates the original functionality but leverages contemporary technology for improved performance and security[7]. This article explores the critical Software Quality Assurance (SQA) processes that underpin successful legacy system modernization projects.
Today’s food industry across the world is facing never-ending difficulties in meeting customers’ expectations of safe and quality food. Such of them include issues to do with contamination, adulteration, and ensuring quality standards of the products when manufactured in large quantities and distributed to different areas. This has called for new solutions, which have come in the form of Artificial Intelligence (AI), which offers solutions to challenges in food safety and quality control in detection, monitoring and management.
The integration of artificial intelligence (AI) into wireless communication networks represents a seismic shift in technological capabilities, heralding a new era of network intelligence. This paper introduces pioneering approaches that leverage AI to redefine the boundaries of wireless communication, moving beyond incremental improvements to achieve ground-breaking advancements. We present an innovative framework for AI-driven network management that combines advanced machine learning algorithms with real-time adaptive systems, enabling unprecedented levels of automation and efficiency.
The increasing complexity and volume of data in today's business environment highlight the critical need for organizations to adopt advanced analytics to enhance decision-making and drive strategic initiatives. This paper outlines the framework for establishing a Center of Excellence (CoE) for Advanced Analytics, which serves as a centralized hub for promoting best practices, fostering collaboration, and developing analytical expertise. The CoE addresses prevalent challenges, such as skill shortages, data governance issues, and the integration of analytics into business processes. By leveraging cutting-edge analytical techniques—such as machine learning, predictive analytics, and data visualization—the CoE enables organizations to unlock actionable insights from their data.
The advancement of technology and the increase in the data, which increases at a geometric rate, have influenced the insurance industry, leading to a concept known as Data Driven insurance, which comes with numerous benefits to the insurers, including the development of new insurance products tailored for individual customers, risk assessment and management, and customer experience enhancement. Nevertheless, these improvements bring about enormous issues of the law. Some of the emerging concerns that insurers are faced with include Data privacy/ethics and regulations on new technologies, including Artificial Intelligence (AI) and Machine Learning (ML).
MDM is crucial for companies to achieve and sustain standard and reliable data quality in multiple domains. The bonding of AI algorithms in MDM boosts the execution of data stewardship and governance. This paper will briefly provide insight into the applicability of some advanced AI techniques likely to be integrated into the current MDM solutions and give specific details on Java/J2EE as a highly reliable backend environment. The paper surveys the literature and provides approaches to developing AI-aided MDM systems using Java/J2EE, focusing on experimental findings and the benefits of integrating AI and enterprise approaches.
In August 2022, a critical issue arose with a molded plastic component in an automotive interior application due to weak knit lines. The part was prone to breakage under minimal pressure, which impeded the final form-fit-function testing required for production approval. The weak knit line was identified as a significant roadblock, affecting the entire assembly process and necessitating a quick, effective solution to move forward with production. This research documents the detailed design of experiments (DOE) performed to evaluate the feasibility of an alternative material, polypropylene, to enhance the knit-line strength.
Event-driven architecture is often an important aspect of state-of-the-art distributed systems where architectural models are transformed into event-driven models. This article explores event-driven systems, pointing out the concepts of how the systems support scalability, responsiveness, fault tolerance and adaptability. In traditional request-response architectures, there are usually troubles in handling large numbers of requests or in dynamic conditions. At the same time, event-oriented systems isolate system components and support asynchrony and non-dependency, which are well suited to handle variable loads while delivering high turnaround.
DevOps is a cultural and technical movement that aims to unify software development (Dev) and IT operations (Ops) to improve collaboration, efficiency, and productivity. By leveraging automation, continuous integration, and continuous delivery (CI/CD) practices, organizations can achieve faster release cycles and higher software quality. This paper explores the principles of DevOps, its lifecycle, its benefits, challenges, tools & technologies of DevOps and best practices. Furthermore, it discusses the tools and technologies that support DevOps initiatives, illustrating the transformative impact of this methodology on modern software development.
Product catalog ads (PCAs) are pivotal in digital advertising, particularly for e-commerce. These dynamic ads showcase a subset of products from a catalog, leveraging user preferences for personalization. Catalog size significantly affects ad performance metrics such as click-through rates (CTR), conversion rates, and return on ad spends (ROAS). This paper investigates the influence of catalog size on PCA effectiveness, using mathematical modeling and empirical analysis to identify the trade-offs between providing a diverse selection and minimizing cognitive overload. The findings offer actionable recommendations for optimizing catalog size in advertising campaigns.
Through a combination of Guidewire platforms, cloud computing and cybersecurity frameworks, the insurance industry in miniature is being transformed into a digitally transformed, ever resilient ecosystem. This ecosystem enables insurers to modernize core operations of policy management, claims processing and billing while continuing to provide secure, scalable and efficient service delivery.
In smart grid systems, the facilitation of unimpeded communication among diverse assets, devices, and grid operators is paramount for optimal functionality and real-time surveillance. This study explores the application of two leading communication technologies—wireless LTE (Long-Term Evolution) and broadband Power Line Communication (PLC)—within a real-world smart grid framework, particularly concentrating on the 'Smart Grid Demonstrator Sonderbuch' project. This study introduces a cutting-edge hybrid methodology by simultaneously deploying and evaluating these two communication frameworks in parallel to investigate their efficiency across different operational environments.
This research explores the design and implementation of smart sensor technologies in embedded systems. The rapid evolution of sensor technology has led to their integration in a wide range of applications, from healthcare and industrial automation to smart homes and environmental monitoring. The study outlines the key principles behind smart sensor design, including sensor types, data acquisition, signal processing, and communication protocols. Additionally, it examines the challenges and solutions in implementing these sensors within embedded systems, highlighting power efficiency, real-time processing, and scalability.
Modern enterprises are increasingly migrating their workloads to cloud-native environments to optimize performance, scalability, and cost. However, the dynamic nature of cloud ecosystems introduces new compliance challenges, requiring enterprises to maintain continuous visibility and control over multiple layers of infrastructure and services. This white paper presents a deep technical exploration of automated compliance monitoring using cloud-native tools. This paper details the architectural components, methodologies, implementation approaches, challenges, and practical solutions for deploying automated compliance monitoring within cloud environments.
An Intelligent IoT Based Hydrophonics for Smart Soilless Agriculture
Sivakumar G, Selvarasu S, Selvi C
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Agriculture plays a major function on improving the financial system of the United States. modern-day farming technique like Hydroponics is in rise which is soilless farming tradition and the flowers have been grown with the help of nutrient solutions.
Qca Design of Approximate Adder
Bala Murugan P, Kaliammal N, Selvi C
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Quantum-dot design is diagnosed as one of the rapidly developing nanotechnologies and an exchange to MOSFET design on the nanoscale. he QUANTUM DOT DESIGN generation is accomplished of constructing nanoscale digital circuits with a higher switching speed. Adders are generally determined in the grave route of masses of constructing blocks of microprocessors and DSP chips.
AI ENABLED COMMUNICATION MODEL FOR SMART AQUACULTURE
Geetha A, Surya S, Sweetha J, Santhiya G, Sobika V
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Agribusiness is considered as the significant piece of ways of life for the human species as it's far the fundamental wellspring of food grains what is more, other unrefined materials expected for man or lady. It performs significant part in the advancement of country's financial framework and improvement. It additionally gives large venture openings to everybody. improvement in agrarian section is fundamental for the advancement of monetary nation of the country.
Continuous Health Monitoring of Sportsperson Using Wearable IoT Devices
Sangeetha A, Nallavan G
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These days, wearable strategies are broadly utilized in the Internet of Things (IoT). The examined IoT gadgets are utilized in different applications like shrewd home, security the executives, training establishments, etc. Among the different application,
Connected Three Phase Cascaded Multilevel Inverter Topology for Pv Applications
Supriya R, Ramaraj S
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These days, staggered inverters (MLIs) are acquiring huge standing for the high power PV bundles. a large portion of the customary MLIs, the CHB MLI consolidates lower voltage evaluated enter DC resources, which lessen the voltage stress all through the devices. in any case, the CHB MLI requires two or three PV assets as discrete DC hyperlink voltage resources which make more ways for spillage flows. subsequently, it's far a hard test to adapt to the spillage flows on account of CHB MLIs.
Design of a Real-Time Face Detection Architecture for Heterogeneous Systems-on-Chips
Thenmozhi N, Padmaloshani P
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In this examination, a Bridge wellbeing checking framework utilizing IoT is created utilizing remote innovation. The assistance of progression in sensor innovation has brought the computerized continuous extension wellbeing checking framework.
Implementation of SEPIC Based High Step-up DC-DC Converter for Renewable Energy Applications
Kasturi R, Gopalakrishnan V
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A new use of SEPIC (Single Ended Primary Converter) and Cuk converter for distributed generating systems is described in this study. The use of both converters in a DC/DCconverter setup is advocated. The SEPIC and Cuk converters share the switching node in the resultant architecture since they have the same instantaneous duty cycle.
Realizing the Potential of AI in Improving Health Outcomes: Strategies for Effective Implementation
Sarika Mulukuntla, Saigurudatta Pamulaparthyvenkata
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In the transformative realm of healthcare, Artificial Intelligence (AI) stands out as a beacon of hope for drastically improving patient outcomes. This narrative explores the strategic deployment of AI to enhance diagnostics, personalize treatments, and predict medical events before they unfold. Overcoming challenges such as data privacy, ethical considerations, and the need for substantial infrastructure is crucial for success.
An Introduction to the Internet of ThingsRiyya Hari Iyer
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The domain of technology and communication is ever-expanding, and so a conversation about a key technology that is a part of this domain is in order. That key technology is the Internet of Things, or IoT. IoT technology is of various types, from the commonly known Bluetooth and Wi-Fi, to the somewhat known ones like NFC (Near Field Communication) and Zigbee, and then also to some of the lesser-known ones like Sigfox.
Modernizing Legacy Systems: A Deep Dive into SQA StrategiesVijayasekhar Duvvur
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Legacy systems, the workhorses of many organizations, often lack the agility and functionality of modern web platforms. Upgrading these systems presents a unique challenge – ensuring the modernized version not only replicates the original functionality but leverages contemporary technology for improved performance and security[7]. This article explores the critical Software Quality Assurance (SQA) processes that underpin successful legacy system modernization projects.
AI Applications in Food Safety and Quality ControlNaga Ramesh Palakurti
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Today’s food industry across the world is facing never-ending difficulties in meeting customers’ expectations of safe and quality food. Such of them include issues to do with contamination, adulteration, and ensuring quality standards of the products when manufactured in large quantities and distributed to different areas. This has called for new solutions, which have come in the form of Artificial Intelligence (AI), which offers solutions to challenges in food safety and quality control in detection, monitoring and management.
Wireless Intelligence: AI-Driven Enhancements in Communication NetworksVikram Nattamai Sankaran, Dr. M. Sivasankari,
Rakesh Thoppaen Suresh Babu
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The integration of artificial intelligence (AI) into wireless communication networks represents a seismic shift in technological capabilities, heralding a new era of network intelligence. This paper introduces pioneering approaches that leverage AI to redefine the boundaries of wireless communication, moving beyond incremental improvements to achieve ground-breaking advancements. We present an innovative framework for AI-driven network management that combines advanced machine learning algorithms with real-time adaptive systems, enabling unprecedented levels of automation and efficiency.
Establishing a Framework for a Successful Center of Excellence in Advanced AnalyticsAnkit Bansal
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The increasing complexity and volume of data in today's business environment highlight the critical need for organizations to adopt advanced analytics to enhance decision-making and drive strategic initiatives. This paper outlines the framework for establishing a Center of Excellence (CoE) for Advanced Analytics, which serves as a centralized hub for promoting best practices, fostering collaboration, and developing analytical expertise. The CoE addresses prevalent challenges, such as skill shortages, data governance issues, and the integration of analytics into business processes. By leveraging cutting-edge analytical techniques—such as machine learning, predictive analytics, and data visualization—the CoE enables organizations to unlock actionable insights from their data.
Navigating Regulatory Challenges in Data-Driven Insurance: Strategies for Compliance and InnovationDevidas Kanchetti
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The advancement of technology and the increase in the data, which increases at a geometric rate, have influenced the insurance industry, leading to a concept known as Data Driven insurance, which comes with numerous benefits to the insurers, including the development of new insurance products tailored for individual customers, risk assessment and management, and customer experience enhancement. Nevertheless, these improvements bring about enormous issues of the law. Some of the emerging concerns that insurers are faced with include Data privacy/ethics and regulations on new technologies, including Artificial Intelligence (AI) and Machine Learning (ML).
Advanced AI Algorithms for Data Stewardship: Implementing Java/J2EE in Modern MDM SystemsAmit Kumar
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MDM is crucial for companies to achieve and sustain standard and reliable data quality in multiple domains. The bonding of AI algorithms in MDM boosts the execution of data stewardship and governance. This paper will briefly provide insight into the applicability of some advanced AI techniques likely to be integrated into the current MDM solutions and give specific details on Java/J2EE as a highly reliable backend environment. The paper surveys the literature and provides approaches to developing AI-aided MDM systems using Java/J2EE, focusing on experimental findings and the benefits of integrating AI and enterprise approaches.
Advanced Material Optimization for Enhanced Knit-Line Integrity in Automotive Interior Components: A Design of Experiments
ApproachDhrudipsinh Dabhi
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In August 2022, a critical issue arose with a molded plastic component in an automotive interior application due to weak knit lines. The part was prone to breakage under minimal pressure, which impeded the final form-fit-function testing required for production approval. The weak knit line was identified as a significant roadblock, affecting the entire assembly process and necessitating a quick, effective solution to move forward with production. This research documents the detailed design of experiments (DOE) performed to evaluate the feasibility of an alternative material, polypropylene, to enhance the knit-line strength.
Event-Driven Paradigms: How to Architect Reactive and Resilient SystemsJosep Franklin Santhosh Kumar
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Event-driven architecture is often an important aspect of state-of-the-art distributed systems where architectural models are transformed into event-driven models. This article explores event-driven systems, pointing out the concepts of how the systems support scalability, responsiveness, fault tolerance and adaptability. In traditional request-response architectures, there are usually troubles in handling large numbers of requests or in dynamic conditions. At the same time, event-oriented systems isolate system components and support asynchrony and non-dependency, which are well suited to handle variable loads while delivering high turnaround.
Analysis of DevOps: Transformation of the Software Development and IT OperationsHarika Sanugommula
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DevOps is a cultural and technical movement that aims to unify software development (Dev) and IT operations (Ops) to improve collaboration, efficiency, and productivity. By leveraging automation, continuous integration, and continuous delivery (CI/CD) practices, organizations can achieve faster release cycles and higher software quality. This paper explores the principles of DevOps, its lifecycle, its benefits, challenges, tools & technologies of DevOps and best practices. Furthermore, it discusses the tools and technologies that support DevOps initiatives, illustrating the transformative impact of this methodology on modern software development.
The Impact of Catalog Size on the Effectiveness of Product Catalog Ads in Digital AdvertisingVarun Chivukula
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Product catalog ads (PCAs) are pivotal in digital advertising, particularly for e-commerce. These dynamic ads showcase a subset of products from a catalog, leveraging user preferences for personalization. Catalog size significantly affects ad performance metrics such as click-through rates (CTR), conversion rates, and return on ad spends (ROAS). This paper investigates the influence of catalog size on PCA effectiveness, using mathematical modeling and empirical analysis to identify the trade-offs between providing a diverse selection and minimizing cognitive overload. The findings offer actionable recommendations for optimizing catalog size in advertising campaigns.
Building Resilient Digital Insurance Ecosystems: Guidewire, Cloud, And Cybersecurity StrategiesSateesh Reddy Adavelli
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Through a combination of Guidewire platforms, cloud computing and cybersecurity frameworks, the insurance industry in miniature is being transformed into a digitally transformed, ever resilient ecosystem. This ecosystem enables insurers to modernize core operations of policy management, claims processing and billing while continuing to provide secure, scalable and efficient service delivery.
Field-Test Analysis and Comparative Evaluation of LTE and PLC Communication Technologies in the Context of Smart Grid
Sree Lakshmi Vineetha Bitragunta
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In smart grid systems, the facilitation of unimpeded communication among diverse assets, devices, and grid operators is paramount for optimal functionality and real-time surveillance. This study explores the application of two leading communication technologies—wireless LTE (Long-Term Evolution) and broadband Power Line Communication (PLC)—within a real-world smart grid framework, particularly concentrating on the 'Smart Grid Demonstrator Sonderbuch' project. This study introduces a cutting-edge hybrid methodology by simultaneously deploying and evaluating these two communication frameworks in parallel to investigate their efficiency across different operational environments.
Design and Implementation of Smart Sensor Technologies in Embedded SystemsSoujanya Reddy Annapareddy
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This research explores the design and implementation of smart sensor technologies in embedded systems. The rapid evolution of sensor technology has led to their integration in a wide range of applications, from healthcare and industrial automation to smart homes and environmental monitoring. The study outlines the key principles behind smart sensor design, including sensor types, data acquisition, signal processing, and communication protocols. Additionally, it examines the challenges and solutions in implementing these sensors within embedded systems, highlighting power efficiency, real-time processing, and scalability.
Automated Compliance Monitoring With Cloud-Native Tools: A Practical Guide for EnterprisesSantosh Pashikanti
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Modern enterprises are increasingly migrating their workloads to cloud-native environments to optimize performance, scalability, and cost. However, the dynamic nature of cloud ecosystems introduces new compliance challenges, requiring enterprises to maintain continuous visibility and control over multiple layers of infrastructure and services. This white paper presents a deep technical exploration of automated compliance monitoring using cloud-native tools. This paper details the architectural components, methodologies, implementation approaches, challenges, and practical solutions for deploying automated compliance monitoring within cloud environments.