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检索条件"任意字段=International Conference on Advances in Information Communication Technology and Computing"

共 81037 条记录，以下是101-110 订阅

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The Nexus amid Workforce Agility and Adaptive Performance: Mediating Role of Employee's Loyalty among information technology Professionals 10

The Nexus amid Workforce Agility and Adaptive Performance: M...

引用

10th IEEE international conference on Electronics, computing and communication Technologies (IEEE CONECCT)

作者： Bharath, Sindu Nagesh, P. Nanjundeswaraswamy, T. S. JSS Sci & Technol Univ JSS Ctr Management Studies Mysore Karnataka India JSS Acad Tech Educ Dept Management Studies Bengaluru Karnataka India

ISBN: (纸本)9798350385939;9798350385922

Employee Loyalty is a vital indicator to measure organizational effectiveness. The employee performance depends on individual agility and also in team assignments. Thus, there is a need to establish link between employee loyalty and performance. Literature review reinforces to pursue research considering three constructs namely Workforce Agility (WFA), Adaptive Performance (AP) and Employee Loyalty (EL). A conceptual model has been designed grounded on Social Exchange Theory and Ability, Motivation and Opportunity theories. The present research examines hypothesized framework on evaluating the role of EL amid WFA and AP among IT professionals. This investigation involves surveying employees of IT organisations located in Karnataka, India were considered. The survey instrument with 486 valid responses is used to measure and validated with Exploratory Data Analysis (EDA) and Fit indices using AMOS. Results indicates that there is direct association between WFA, AP and EL. EL acts as a partial mediator between WFA and AP

关键词： Workforce Agility Adaptive Performance Employee Loyalty information technology Exploratory Data Analysis

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Karna : A Crowdfunding Platform with DecentralizedAutonomous Organization Based Verification using Blockchain technology 10

Karna : A Crowdfunding Platform with DecentralizedAutonomous...

引用

10th IEEE international conference on Electronics, computing and communication Technologies (IEEE CONECCT)

作者： Patil, Annapurna P. Adithya, N. G. Jain, Anish Singh, Akash Saran, Manish Bhargavi, Bindu S. M. Dayanand Sagar Coll Engn Informat Sci & Engn Bangalore 560078 Karnataka India

ISBN: (纸本)9798350385939;9798350385922

Karna is a platform designed to streamline and secure crowdfunding for social causes. It operates without the need for a central authority, instead relying on a decentralized autonomous organization (DAO) of anonymous volunteers to validate campaign legitimacy through a voting mechanism using smart contracts. This approach ensures that all funds are directed to genuine causes. Donors can contribute to campaigns without disclosing personal information. By eliminating middlemen and leveraging smart contracts, Karna facilitates transparent crowdfunding.

关键词： VLSI Design RISC Architecture Floating Point Units (FPUs) Verilog XILINX ISE Design Suite 14.4 Genus DAO Blockchain Smart Contracts Crowdfunding

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Learning Salient Features for Speech Emotion Recognition using Attention-based Residual Bidirectional LSTM with Federated Learning 4

Learning Salient Features for Speech Emotion Recognition usi...

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4th international conference on advances in Electrical, computing, communication and Sustainable Technologies, ICAECT 2024

作者： Kaur, Dilsheen Misra, Anuradha Vyas, O.P. Amity University Lucknow Campus Amity School of Engineering and Technology Department of Computer Science and Engineering India Indian Institute of Information Technology Allahabad Department of Information Technology India

ISBN: (纸本)9798350343670

In human communication, expressing human emotion plays an essential role in transferring information to the other individual. The expression forms of human communication are very rich, in different patterns like facial expressions, voice tone, eye contact, body language and laughter. Moreover, the languages used by individuals in the entire world are different, yet without understanding the communication language, the individuals can realize the message that other individuals require to convey as emotional expressions. Among all the human emotional expressions, the conveyed expressions through human voice are experimented with in different studies. However, identifying the emotional situation of the presenter is complicated for the machine learning techniques, which gained more attraction in Speech Emotion Recognition (SER). Here, the SER framework plays an efficient role in different real-world applications in observing human actions, virtual reality, emergency centers and robot communication to observe the emotional phase of the speakers. Thus, an innovative federated learning-based SER is presented in this paper. The essential speech signals are initially collected from the standard database. After that, the collected signal is fed to the feature extraction stage. Here, the deep features in the input signal are obtained by the Variational Autoencoder (VAE). Further, the deep features obtained from the VAE are passed to the "Attention-based Residual Bidirectional Long Short-Term Memory (A-RBiLSTM)"to identify the emotions in the speech signal. At last, different experimental analyses are executed to observe the effectualness of the implemented framework. © 2024 IEEE.

关键词： Attention-based Residual Bidirectional Long Short-Term Memory Deep Features Feature Extraction Federated Learning Speech Emotion Recognition Variational Autoencoder

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The Role of Machine Learning in Optimizing Industrial communication Protocols

The Role of Machine Learning in Optimizing Industrial Commun...

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2024 international conference on advances in computing Research on Science Engineering and technology, ACROSET 2024

作者： Kharbas, Vikas Kumar Mahesh, T.R. Upadhyay, Satish Vivekananda Global University Department of Computer Science & Application Jaipur India Faculty of Engineering and Technology Department of Computer Science Engineering Bangalore India Atlas SkillTech University Department of UGDX Mumbai India

ISBN: (纸本)9798350388800

Due to the complexity and urgency of information exchange in modern companies, optimizing communication protocols in the workplace is essential. Using methods from machine learning, this research takes a fresh tack toward optimizing the performance of communication protocols. The suggested approach integrates Reinforcement Learning (RL), Convolutional Neural Networks (CNNs), and Genetic Algorithms (GAs) to provide a self-optimizing system with dynamic behavior. The RL feature facilitates this protocol's flexibility in the face of dynamic network circumstances by providing rapid feedback. CNNs are used for real-time anomaly detection to improve safety and dependability. GAs methodically explores combinations of protocol parameters to determine the optimal collection that matches specified performance criteria. The recommended technique was compared to the usual methodology using a variety of efficiency and reliability measures. The findings demonstrate that the proposed approach frequently outperforms the state-of-the-art methods in a broad range of commercial settings with regards to efficiency, dependability, and adaptability. Understanding how to enhance industrial communication protocols is crucial in the age of Industry 4.0 and the IIoT. The recommended solution offers an autonomous, adaptable, and secure tool for boosting communication in dynamic production situations. © 2024 IEEE.

关键词： Convolutional neural networks

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Cluster Head Selection in IoT Networks Using Salp Swarm Optimization 1

Cluster Head Selection in IoT Networks Using Salp Swarm Opti...

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1st IEEE international conference on advances in Signal Processing, Power, communication, and computing, ASPCC 2024

作者： Agrawal, Deepika Nit Raipur Information Technology Raipur India

ISBN: (纸本)9798350355093

Two major issues concerning handling Internet of Things (IoT) networks are energy efficiency and efficient data transfer, especially in large-scale deployments. A popular technique to increase network efficiency is cluster-based routing protocols, in which data aggregation and communication are made easier by cluster heads (CHs). The lifespan and consumption of the energy in the network are directly impacted by the CHs that are chosen. Advanced methods for cluster head selection have been developed because of the increasing demand for reliable, scalable, and energy-efficient IoT networks. To maximize CH selection, the current investigation presents a unique cluster head selection technique based on Salp Swarm Optimization (SSO), which takes distance to the sink and remaining energy into account as fitness functions. When compared to conventional approaches, the proposed strategy shows substantial improvements in network lifespan and energy efficiency. © 2024 IEEE.

关键词： CH Selection Internet of Things (IoT) Salp Swarm Optimization Wireless Sensor Networks

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A Rule based Modified Quadratic Mean for the Elimination of Outliers in Images 2

A Rule based Modified Quadratic Mean for the Elimination of ...

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2nd IEEE international conference on advances in computing, communication and Applied Informatics, ACCAI 2023

作者： Kameswari, D.V.N. Vasanth, K. Rajendra Prasad, M. Vidya Jyothi Institute of Technology Department of Electronics and Communication Engineering Hyderabad India

ISBN: (纸本)9798350315905

A Rule based Modified Quadratic Mean based for the Elimination of Outliers in Natural Images is proposed. The algorithm employs series of decision that checks for fixed valued outliers and noisy information about the vicinity that is being processed. The Experimental results suggests that the Modified quadratic Mean fairs well when compared to existing algorithms and Conventional Quadratic Mean. The Algorithm restored the image by keeping the information intact. © 2023 IEEE.

关键词： Image processing

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MEDIMIND MATE: The Healthcare ChatBot based on Machine Learning and Natural Language Processing 2

MEDIMIND MATE: The Healthcare ChatBot based on Machine Learn...

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2nd IEEE international conference on advances in information technology, ICAIT 2024

作者： Choudhary, Aditi Prasad, Guru M.S. Rawat, Anshika Upadhyay, Khushi Gowda, Mahima M. Jain, Amith K. Dehradun India School of Computing & Information Technology Reva University Bengaluru India Department of Electronics and Communication Engineering SDM Institute of Technology Dehradun India

ISBN: (纸本)9798350383867

While one' s health is unquestionably a valuable asset in the modern world of hustle and bustle, it is also susceptible to several threats. Regular visits to healthcare specialists are frequently impeded by the demands of busy schedules. Healthcare chatbots have proven important in addressing this widespread issue. The proposed paper successfully solves this issue by evaluating four distinct algorithms for disease prediction, out of which the random forest classifier produced the highest accuracy of 99.6%, so the chatbot made use of the random forest model, which was trained on a dataset that included illnesses and the symptoms that went along with them. It then uses cosine similarity to predict symptoms accurately to identify possible illnesses. The chatbot also provides information about nearby doctor locations in addition to further specifics regarding the anticipated disease. © 2024 IEEE.

关键词： Adversarial machine learning

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Block Drive: A Drive For Image Storage And Share by using The Blockchain technology 1

Block Drive: A Drive For Image Storage And Share by using Th...

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1st IEEE international conference on advances in computing, communication and Networking, ICAC2N 2024

作者： Sharma, Pawan Meel, Priyanka Delhi Technological University Department of Information Technology Delhi110042 India

ISBN: (纸本)9798350356816

The project titled "Block_drive"is a drive to store the data particularly the images by using the blockchain technologyDifferent blockchain platforms are there and ethereum is providing us a way of the web *** blockchain protocol is used to make the transactions on the blockchain and metamask extensions is there to make the *** currencies is used in every transactions and based upon the consensus protocol the transaction is *** the centralized system there is a common database and the distributed ledger and the data of a particular account is suffering from the authentication problem ,to avoid this problem we are using a different technology support of a central database storage which is *** is online way to store the data in a better way and in a decentralized wayby using the api key and private api key with the help of the pinata by creating a account on this online *** nodes which are interested in sharing the data with the other nodes can share the data and store the data on their blockchain account without any the central authority. Because of this ,the data is secure and safe There is no authentication problems in the storing of the *** js is used for all the user interface and front end purposes. The p2p networking is the main principle of this application. © 2024 IEEE.

关键词： Authentication Protocol

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Blockchain: A secure solution for identifying counterfeits and improving supply chain reliability

Blockchain: A secure solution for identifying counterfeits a...

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2024 international conference on advances in computing, communication, Electrical, and Smart Systems, iCACCESS 2024

作者： Farhan, Maruf Sulaiman, Rejwan Bin Nur, Abdullah Hafez Northumbria University Department of Computer Science and Engineering Northumbria United Kingdom Northumbria University Department of Computer Science & Technology Northumbria United Kingdom International Islamic University Chittagong Department of Electronic and Telecommunication Engineering Chittagong Bangladesh

ISBN: (纸本)9798350350289

Counterfeit goods provide a substantial risk to both consumers and corporations. This study presents a system that employs blockchain technology to address the issue of counterfeiting by validating the authenticity of products using QR codes. The framework enables manufacturers to register products and monitor their ownership across the whole supply chain. Subsequently, consumers have the ability to scan QR codes of products in order to authenticate their authenticity and obtain information regarding the product's past. The suggested system has numerous benefits, such as: Enhanced security: Blockchain technology guarantees the integrity of data storage and transaction records, making them resistant to tampering. Enhanced transparency: Consumers are able to obtain comprehensive information regarding the product's trajectory, promoting trust and assurance. Cost reduction: The solution obviates the necessity for intermediaries and manual verification procedures, resulting in financial savings. The study also recognises constraints such as the requirement for specialised knowledge and possible difficulties in expanding the solution. Furthermore, the efficacy of the system hinges on the extensive acceptance and understanding of blockchain technology. In summary, this article introduces a potential framework for utilising blockchain technology to tackle the increasing problem of counterfeit items. Subsequent investigations should prioritise enhancing the system's scalability, security, and user acceptance to optimise its overall impact © 2024 IEEE.

关键词： Smart contract

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Load-balancing in Cloud computing Environment using Hybrid Particle Swarm Optimization and Ant Colony Optimization Algorithm 2

Load-balancing in Cloud Computing Environment using Hybrid P...

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2nd international conference on advances in Computation, communication and information technology, ICAICCIT 2024

作者： Senthilselvi, A. Varshini, V.S. Reena Sharan, E. Shruthi Shree, T. Chelliah, Balika J. Senthil Pandi, S. Department of CSE SRM IST Ramapuram Chennai India Department of CSE CC SRM IST Ramapuram Chennai India Department of CSE Rajalakshmi Engineering College Chennai India

ISBN: (纸本)9798331541217

Load-balancing is one of the most important parts of cloud computing, ensuring optimized resource use, reduced response times, and high availability. The traditional Round Robin, Throttled, and Least Connection algorithms fail to adapt to dynamic workloads and, therefore, are unable to provide optimal solutions for resource imbalances. This paper represents a hybrid load-balancing algorithm generated by using both PSO and ACO algorithms to overcome such limitations. The proposed Hybrid PSO-ACO algorithm exploits PSO's strong ability for global search and ACO's good efficiency for local optimization for the dynamic resource allocation over multiple servers. Key contributions are: robust framework developed for adaptive load distribution;improved effectiveness in task scheduling;and reduction in system bottlenecks. Through simulation, the combined hybrid approach shows drastic improvements in throughput, make span, response time, and resource utilization compared with traditional algorithms, and thus promises to be a good solution for effective load-balancing within cloud computing. © 2024 IEEE.

关键词： Ant colony optimization

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