The proceedings contain 57 papers. The special focus in this conference is on Emerging Technologies for computing, Communications, and smart Cities. The topics include: Spectral Analysis of DNA on 1-D Hydration Enthal...
ISBN:
(纸本)9789811902833
The proceedings contain 57 papers. The special focus in this conference is on Emerging Technologies for computing, Communications, and smart Cities. The topics include: Spectral Analysis of DNA on 1-D Hydration Enthalpy-Based Numerical Mapping Using Optimal Filtering;a Novel Ensemble Model for Breast Cancer Diagnosis;a Novel smart Aging Approach for Monitor the Lifestyle of Elderlies and Identifying Anomalies;spatial Analysis of Violent Crime dataset Using Machine Learning;analysis of Violent Crime dataset Using Support Vector Machine Model;nigeria Human Population Management Using Genetic Algorithm Double Optimized Fuzzy analytics Engine Approach;flower Species Detection System Using Deep Convolutional Neural Networks;data Localization and Privacy-Preserving Healthcare for Big data Applications: Architecture and Future Directions;design of Facial Recognition Based Touchless Biometric System;comparative Analysis of Semantic Similarity Word Embedding Techniques for Paraphrase Detection;seeker Optimization for Linear Phase Fir Filter Design;cloud Supported Secure e-Card College Management System;An Optimization of VM Allocation and Migration in Cloud computing Systems for High Throughput and Low Tolerance;graDex—Graph-Based dataanalytics for Extractive Text Summarization;smart Traffic Monitoring with Fog and Cloud computing;a Review of Precision Agriculture Methodologies, Challenges, and Applications;power Quality Enhancement and Low Voltage Ride Through Capability in Hybrid Grid Interconnected System by Using D-Fact Devices;Optimal LFC Regulator for Frequency Regulation in Multi Area Power System;optimal Power Flow Using Firefly Algorithm with Solar Power;designing of Learning Environment of an intelligent Tutoring System for Academic Learning Needs of Learning-Disabled Learners Based on Survey Report of Region-Specific Target Group.
The merger of Internet of Things (IoT) and Machine Learning undoubtedly offers several benefits, but due to the nature of IoT devices and their underlying design, a number of difficulties and challenges exist. The mos...
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The study uses social media analytics and Machine Learning (ML) to examine sustainable consumer behavior among West Cochin women teachers. Particularly in sustainability, traditional approaches include polls and inter...
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ISBN:
(数字)9798331543624
ISBN:
(纸本)9798331543631
The study uses social media analytics and Machine Learning (ML) to examine sustainable consumer behavior among West Cochin women teachers. Particularly in sustainability, traditional approaches include polls and interviews suffer from temporal limits and biassed sample, therefore impeding real-time insights into consumer trends. Using natural language processing (NLP) for sentiment analysis and clustering for behavioral segmentation, the proposed system analyses enormous amounts of unstructured social media data using advanced ML techniques. The results show notable developments over existing systems: a sentiment analysis accuracy of 90.0%, clustering efficacy with a Silhouette score of 0.65, and predictive model performance with an accuracy of 85.0%. These results show the capacity of the proposed system to offer better understanding of sustainable customer behavior, so enabling focused marketing plans and a more environmentally friendly market.
In applied research and industrial business analytics (BA) projects data preparation requires around 80% of the total effort. Preparation tasks include establishing technical, semantic interoperability of data and pro...
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ISBN:
(纸本)9789897585357
In applied research and industrial business analytics (BA) projects data preparation requires around 80% of the total effort. Preparation tasks include establishing technical, semantic interoperability of data and processes to generate value. Enterprise Integration and Interoperability (EI2) approaches address these challenges, but these approaches are hardly taken into account in business analytics. In this position paper, we analyse approaches for their contribution to improving business analytics by supporting the interoperability of data, services, processes and business in general. For more details, we focus on the application domain of smart grids. Existing and missing tool and methodological support as a basis for data-access required for efficient and effective descriptive, predictive and prescriptive business analytics.
smart cities are revolutionizing urban development by integrating intelligent technology to improve operational efficiency, promote sustainable living, and boost overall quality of life. This study examines the potent...
smart cities are revolutionizing urban development by integrating intelligent technology to improve operational efficiency, promote sustainable living, and boost overall quality of life. This study examines the potential of creating a smart city by leveraging cutting-edge technologies such as Internet of Things (IoT), dataanalytics, and cloud computing. This article provides a thorough evaluation of the existing frameworks in the context of smart city initiatives, emphasizing their advantages and disadvantages. The paper also examines possible weaknesses related to the execution of smart cities, such as cybersecurity risks, data privacy concerns, and social engineering. It provides information security solutions and optimal strategies for addressing these concerns. The necessary tasks entail establishing robust cyber security protocols, implementing encryption methodologies, formulating access regulations, and disseminating information on user education initiatives. Effective collaboration among government agencies, technology suppliers, and cyber professionals is essential for the development of resilient and secure smart cities. This comprehensive assessment continues to fuel the discussion on urban expansion and establishes a strong basis for sustainable and reliable advancements in smart cities worldwide.
A smart transportation system (i.e., intelligent transportation system) refers to a transportation critical infrastructure system that integrates advanced technologies (e.g., networking, distributed computing, big dat...
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In day-to-day life, Time and Health are two precious assets to achieve anything by an individual. In sustaining good health, rural communities confront numerous obstacles in receiving healthcare services. According to...
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This paper proposes an IoT implementation scheme for Raspberry Pi-based smart home system with Raspberry Pi as the core. Using voice recognition module, camera, temperature and humidity sensor and other sensors to col...
This paper proposes an IoT implementation scheme for Raspberry Pi-based smart home system with Raspberry Pi as the core. Using voice recognition module, camera, temperature and humidity sensor and other sensors to collect indoor environment status, through GPIO, serial port and other data interaction with Raspberry Pi; through cell phone remote control, using Raspberry Pi to establish socket connection, through the simple APP developed by ourselves, the intelligent home networking control is realized, and the functions of system control, information sharing and data interaction are realized.
Conventional surveillance systems depend on centralized cloud architectures, resulting in high latency, excessive bandwidth usage, and potential security risks. These drawbacks limit real-time threat detection and del...
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ISBN:
(数字)9798331535193
ISBN:
(纸本)9798331535209
Conventional surveillance systems depend on centralized cloud architectures, resulting in high latency, excessive bandwidth usage, and potential security risks. These drawbacks limit real-time threat detection and delay response times, making them less effective for modern smart city applications. To overcome these challenges, this study presents an edge-powered smart surveillance system integrating a Jetson Nano kit and camera sensors for localized data processing. By conducting real-time video analysis at the edge, the system minimizes network congestion, improves response efficiency, and strengthens data privacy and security. Meanwhile, cloud infrastructure is utilized for long-term storage and advanced analytics, forming a hybrid approach that optimizes resource allocation. Initial evaluations indicate that this method surpasses traditional surveillance models in terms of speed, operational efficiency, and reliability. This research highlights the potential of combining edge computing with cloud-based systems to create a scalable and intelligent surveillance solution for smart cities.
With the rapid development of artificial intelligence technology, all walks of life have started the process of intelligent construction. The intelligent Q&A system in the field of artificial intelligence has the ...
With the rapid development of artificial intelligence technology, all walks of life have started the process of intelligent construction. The intelligent Q&A system in the field of artificial intelligence has the characteristics of all-weather and intelligent, and exploring the deep integration of intelligent Q&A system and campus business in the process of smart campus construction has practical significance for campus service model innovation. Based on the shortcomings of the traditional information service model, this paper elaborates from the overall framework and core modules of the campus intelligent question and answer system, and summarizes and analyzes its application advantages and subsequent development directions in smart campus services, so as to explore its more application potential and practical value in the field of campus intelligent services. This paper presents the implementation of a digital campus intelligent chatbot using two distinct technologies. The chatbot is made up of three main modules: the chat module, the campus information module, and the virtual teaching assistant module. The Encoder-Decoder framework is used in the chat module, while the campus information module and virtual teaching assistant module prioritize accuracy and employ a retrieval mode. Through the integration of these two modules, employing different technical approaches, the overall user experience for students is significantly enhanced.
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