International Journal on Recent and Innovation Trends in Computing and Communication
Not a member yet
8613 research outputs found
Sort by
Design of High Speed Memory-Based FFT Processor Using 90nm Technology
Get PDFIn order to enhance performance, the Fast Fourier Transformation is a important operation in Digital Signal Processing (DSP) systems had been extensively studied. State-of-the-art transmission technology uses Orthogonal frequency division multiplexing (OFDM), which primary operation is the Fast fourier transform (FFT). This analysis presents the design of a high-speed memory-based FFT processor using 90nm technology. The novel hybrid multiplier and hybrid adder is used in this analysis. The main objective of this method is to develop an efficient, memory-efficient FFT processor that requires less area. Using 90nm CMOS (Complementary Metal Oxide Semiconductor) technology, the proposed FFT processor was created and implemented in process. With reduced processing time, this means that the proposed FFT processor performs better than the prior memory-based FFT processors in terms of performance and the number of LUTs required which reduces area and memory utilization
Design and Implementation of Hybrid Multiplier Using ZFC
Get PDFThe field of research has recently been driven to build systems with low power consumption and high speed due to the increasing number of portable devices. The rapid development of semiconductor technology has contributed to a growing need for portable and embedded digital signal processing (DSP) devices. All DSP applications, multipliers are essential components. For high speed DSP, low power, high speed multipliers are therefore required. All current commercial DSP processors have at least one dedicated multiplier unit since the capacity to compute at a quicker pace is necessary to achieve excellent performance in many DSP and graphic processing algorithms. Numerous researchers have developed a number of multipliers, including modified Booth multipliers, array, Booth, carry save, and Wallace tree. However, today’s computational circuits such as high performance processors, digital signal processing, and cryptographic algorithms require highly effective and speed multipliers. Hence, In this work, Design and Implementation of Hybrid Multiplier using ZFC (Zero Finding Logic) is presented. This Hybrid Multiplier is the combination of Finite Field Multiplier and Modified Kogee Stone Multiplier. The Zero Finding Logic is used to identify the zeros from the resultant product
Microservices and API Deployment Optimization using AI
Get PDFArtificial intelligence (AI) is expected to take a large part in the domain of software development, bringing a lot of innovative devices and methods that can possibly change how applications are made and distributed. However, various tools like machine learning, natural language processing, and computer vision help AI to be convincingly integrated into all phases of the software development life cycle, opening up new development opportunities for designers to improve solutions, streamline processes, and enhance movement. In software development AI is helping out with a lot of significant tasks, including code generation and bug revealing, automatic testing and optimization of the performance. AI controls instruments to examine huge data sets containing patterns and provide the engineers with intelligent advice to help them make more informed decisions. On the other hand, this information helps engineers with the development process with higher efficiency and accuracy
Real-Time Data Processing in Healthcare: Architectures and Applications for Immediate Clinical Insights
Get PDFMany important applications of data processing are there in the sector of healthcare. This is needed for the different aspects of treatment. In this report, there is a description of the architecture of the process of doing the data processing in this sector. Other than this, several applications for processing data are also present in this report. It can be seen that there are different necessities for processing data in this sector. Some of these are making proper decisions, and carrying out the work efficiently. There are several applications and processes such as “stream processing”, & “edge computing” are investigated here. There are many important applications of this work in the sector of healthcare. Among these, the most important applications such as monitoring the patients, making predictions about the conditions of the patients, and the detection of the anomaly were analyzed here in this report. There are technologies like “machine learning’ and “IoT systems” that can be helpful in this regard
Skin Cancer Classification Using Deep Learning Techniques
Get PDFThe most prevalent disease in the world is skin cancer. Dermatologists must have a high level of knowledge and precision when diagnosing skin cancer, hence a computer-aided skin cancer diagnosis model is suggested to offer a more impartial and trustworthy answer. Many studies have been conducted to aid in the detection of skin conditions like skin cancer and skin tumors. However, diagnosing the condition accurately is quite difficult due to factors like low contrast between lesions and skin, visual similarity between the diseased and unaffected areas, etc. The goal is to analyses skin images, identify skin cancers and analyses the images by adding filters to remove noise or other undesired elements, converting the images to grayscale to aid in processing, and getting useful information which is feature extraction. The application of deep learning techniques in the medical field is common for diagnosis. The model will be trained using Convolutional Neural Networks (CNN) techniques, which will then be utilized to diagnose the skin condition correctly. In order to decide, these algorithms employ feature values from photos as input. Dermatologists will find it much simpler to effectively identify and diagnose skin problems with this computer-aided technique
Generative AI-Driven for Sap Hana Analytics
Get PDFDuring the course of a year, a large organization that utilizes a complex information technology system such as SAP ERP typically receives hundreds of thousands of requests from its help desk. It is possible to make these requests either over the phone or online through the use of Service Manager (SM) or from the Service Desk. "Enterprise resource planning" (ERP) software automates procedures pertaining to technology, services, and human resources through a network of interconnected applications. It is a form of software used for business process management. An intelligent system that can provide user assistance for SAP ERP is suggested as a solution by this research study. Consumers are able to obtain automatic responses to their support requests, which not only results in a reduction in the amount of time spent on the investigation and resolution of issues, but also increases the level of responsiveness to end users. Classifying multiclass text for the purpose of efficient query interpretation is accomplished by the system through the utilization of machine learning methods. The evidence is retrieved by the system through the utilization of a customized framework, which enables the most effective response. The capabilities of conversational artificial intelligence make it possible for the framework to construct chatbots that enable different groups of people to work together simultaneously
AI-Driven Cloud Governance 2.0: Balancing Agility, Compliance, and Operational Efficiency in Hybrid Multi-Cloud Environments
Get PDFThe paper discusses the way AI-informed cloud governance can enable organisations to control hybrid multi-clouds setting without a disruption in the balance between agility, compliance, and operational efficiency. The paper explains the way AI will aid in policy enforcement, resources control, security surveillance, and automate workloads. The results indicate that AI will cut on manual work, improve the accuracy of the decisions, and develop faster response to risks and performance issues. Resulting challenges also indicate, however, poor quality of data, skills deficiency, and inconsistency in policy implementation. It echoes the findings of the paper that AI-Driven Cloud Governance 2.0 can prove to be a potent asset provided with vivid frameworks, dependable data and ongoing organisational orientation
AI-Powered Digital Experience Platforms: Architecting for Scale, Speed, and Intelligence
No full textPersonalized, scalable, and responsive user experiences are central to the value of Digital Experience Platforms (DXPs). However, many legacy DXPs struggle to deliver real-time personalization, maintain performance at scale, and adapt dynamically to user behavior. This paper explores the integration of advanced AI capabilities—specifically large language model (LLM) copilots, reinforcement-driven personalization, and agent-based orchestration—into modern DXPs across retail, B2B SaaS, and government services.
Through simulation and pilot deployments, the proposed AI-enabled DXP architecture achieved significant improvements: session duration increased by 75%, click-through rate by 52%, and personalization accuracy by 37.7%, while P95 latency dropped from 870 ms to 388 ms. Additional gains included faster deployment cycles, higher A/B testing throughput, and reduced content authoring time. Governance frameworks combining federated learning with explainable AI (XAI) delivered the highest GDPR compliance (96%) and user trust scores (8.9/10).
The results demonstrate that AI-powered DXPs represent not just an incremental enhancement, but a transformative platform model capable of delivering intelligent, compliant, and adaptive experiences at scale. The paper concludes with a reference architecture and performance benchmarks to guide enterprise adoption of AI-driven digital experience platforms
A Study on the Impact of Artificial Intelligence on Electrical and Electronics Engineering Productivity in the Construction Industry
Get PDFIndustrial construction cannot be ignored in any part of the world, and electrical and electronics engineering help a lot to deliver any project with efficiency & safety at work. The design and installation of electrical systems, lighting solutions, HVAC integration, communication infrastructure etc. are just some examples highlighted in this paper. This paper demonstrating the importance of a professional Electrical Engineer in sites like these. The role of artificial intelligence (AI) for predictive maintenance, energy optimization and safety protocols is also detailed. AI has been solved many problems with construction like increase in efficiency, accuracy etc. Collaboration between Electrical and Electronics Engineering with AI is a very important part of the solution positively impacting innovation in construction practices