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Advancing Multilingual communication NLP based Translational Speech to Speech Dialogue System for Indian Languages 1

Advancing Multilingual Communication NLP based Translational...

引用

1st IEEE international conference on Electronics, computing, communication and control Technology, ICECCC 2024

作者： Agarwal, Umansh Gupta, Rishika Saranya, G. School of Computing College of Engineering and Technology SRM Institute of Science and Technology Department of Networking and Communications Tamil Nadu Kattankulathur Chennai603203 India

ISBN: (纸本)9798350371802

Today it is more crucial than ever to remove language barriers in the linked world of today. This study compares and contrasts on-demand live translation services with an emphasis on effectiveness and accuracy. It presents a workable approach to smooth multilingual communication, with a focus on Indian languages. A state-of-the-art on-call speech translation system built on a sentence-level Neural Machine Translation (NMT) model is revealed in this work. The NMT approach translates individual sentences, as opposed to previous algorithms that work with full documents, guaranteeing accuracy and context awareness. NMT, BERT, and XL Net are also compared, emphasizing their unique qualities and areas of use. To facilitate easy communication in chosen languages, this model supports Hindi, Tamil, Telugu, Malayalam, Urdu, Bengali, and English. This helps address the linguistic variety of India. Its versatility and efficacy are a result of intensive training on a wide range of language pairings, highlighting the contribution of technology to intercultural communication. The study emphasizes how the NMT-based on-call voice translation system improves commu-nication accessibility in our multicultural, globalized society by bridging linguistic gaps, particularly in Indian languages. In addition, a unique application of multithreading has been employed to lower latency by concurrently executing the transcription and translation operations. Research shows that when multithreading is used, the time required for a translation decreases to 93.82 seconds from an initial 137 seconds. This helps to some extent with the latency issue © 2024 IEEE.

关键词： Neural machine translation

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Detection and Classification of Alcoholic and control Scalp EEG Signals using Discrete Wavelet Transform and Gradient Boosted Tree classifiers 14

Detection and Classification of Alcoholic and Control Scalp ...

引用

14th international conference on computing communication and networking Technologies, ICCCNT 2023

作者： Korada, Kusuma Kumari Goru, Hema Kumar Medisetty, Pravallika Paladugu, Gnana Deepika Gundu, Janu Mayusha Velagapudi Ramakrishna Siddartha Engineering College Ece Department Vijayawada India

ISBN: (纸本)9798350335095

Alcoholism is characterized by an inability to control drinking because of physical and psychological dependence on alcohol. The liver, immune system, brain, heart and other organs of the human body are severely damaged by alcoholism. There is a dearth of reliable standard test methods for alcoholism detection. Alcoholism can be diagnosed using EEG signals, which are recorded by monitoring cerebral cortex brain changes. In this paper, the classification of control and alcoholic signals using discrete wavelet transform (DWT) and CatBoost classifier is proposed. The Raw EEG signals are preprocessed and decomposed into six levels of sub-bands using DWT. The suggested technique was validated using the K-fold cross validation approach with the CatBoost classifier using the statistical and non-linear characteristics that were retrieved from chosen sub-bands. The proposed approach is experimented on UCI Alcoholic EEG database and achieved an accuracy of 99.08%. © 2023 IEEE.

关键词： Discrete wavelet transforms

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Distributed Caching control Strategy in Mobile Edge computing: A Mean Field Game Approach 19

Distributed Caching Control Strategy in Mobile Edge Computin...

引用

19th Annual IEEE international conference on Sensing, communication, and networking (IEEE SECON)

作者： Feng, Hao Guo, Songtao Chen, Chao Jiao, Xianlong Southwest Univ Sch Elect & Informat Engn Chongqing 400715 Peoples R China Chongqing Univ Coll Comp Sci Chongqing 400044 Peoples R China

ISBN: (数字)9781665486439

ISBN: (纸本)9781665486439

Mobile edge computing (MEC) is a novel computing paradigm that sinks the computing capacity of cloud servers into edge nodes to reduce network latency. By caching the popular content at small base station (SBS) can reduce the heavy backhaul load and the content retransmission in MEC. However, the dynamic and time-varying of the content requests may increase the network cost. In this paper, we study a distributed edge caching optimization problem in MEC scenario with the spatiotemporal requirements. The considered cache control is described as a stochastic differential game (SDG) in which each SBS defines a caching strategy to reduce the cost in terms of the service delay and backhaul link load. To reduce the computational complexity, the original problem can be transformed into a mean field game (MFG). We propose a caching iterative control algorithm that decouples the information interactions between the general SBS and others with the mean field distribution. In addition, we obtain the optimal caching strategy which achieves the existence and uniqueness of the mean field equilibrium (MFE). Simulation results demonstrate that our proposed algorithm can reduce more storage space and total cost compared to the Kim's approach.

关键词： Mobile edge computing distributed edge caching mean-field game approach spatio-temporal requirements optimal control

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Automated Traffic Monitoring control for Improved Visibility On Curve Hilly Road Using Internet-of-Things 14

Automated Traffic Monitoring Control for Improved Visibility...

引用

14th international conference on computing communication and networking Technologies, ICCCNT 2023

作者： Agrawal, Kriti Jain, Payal Sharma, Sachin Rai Goyal, Himanshu Graphic Era Deemed to Be University Department of Computer Science and Engineering Dehradun India

ISBN: (纸本)9798350335095

Traffic management is a frequent problem these days due to the rapid growth of urban population. There are more accidents due to improper traffic management. Accidents happen frequently, especially in hilly areas, but people still don't care about safety when driving on roads. In addition to poor driving skills, terrain problems such as blind spots, increased number of U-turns, poor lighting (lack of streetlights), and lack of support equipment are the causes of accidents. Due to increased urbanization, population growth, the creation of varied living spaces, and the widespread distribution of vehicles, roads are in good condition and modernized, but there are still significant human casualties from accidents. In order to solve this problem, IoT-based traffic control system in mountainous area was developed. A screen can be set up at the curves and the sensors are placed on the roads. The design is implemented to control traffic in hilly areas using technologies available in the market and using IoT. © 2023 IEEE.

关键词： Accidents

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Access control and Encryption Techniques during Big Data Accessing Stage 14

Access Control and Encryption Techniques during Big Data Acc...

引用

14th international conference on computing communication and networking Technologies, ICCCNT 2023

作者： Ahmed, Shoaib Dubey, Aditya Rasool, Akhtar Gyanchandani, Mansi Maulana Azad National Institute of Technology Department of Computer Science and Engineering Bhopal India

ISBN: (纸本)9798350335095

Privacy issues and data security are made worse by Big Data's velocity, volume, and variety. Being able to extract information from enormous amounts of data has gained relevance. The amount of data being produced is large. The key drivers of ongoing growth include the Internet's rapid spread, the Internet of Things (IoT), and another innovation. Since data generated by systems reflects the environment it was obtained from, user can use the data that acquire from them to comprehend how they function. When it comes to cybersecurity, where the primary objective is to protect assets, this has grown in importance. This paper will look at current big data and cybersecurity studies. We will focus on one of the crucial data security tactics, namely access control and encryption techniques, by highlighting the advantages and disadvantages of conventional techniques and providing a set of requirements that any access control solution for Big Data platforms may satisfy. © 2023 IEEE.

关键词： Cryptography

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Stochastic Event Detection and Quantization for Catastrophe Prevention 15

Stochastic Event Detection and Quantization for Catastrophe ...

引用

15th international conference on computing communication and networking Technologies, ICCCNT 2024

作者： Habibi, Mohammad Tennessee State University Department of Mechanical and Manufacturing Engineering NashvilleTN37209 United States

ISBN: (纸本)9798350370249

Schools, stadiums, malls, and other locations that are frequented by large volumes of people can be described as Soft Targets and Crowded Places (ST-CPs). The relative lack of comprehensive security measures at these locations unfortunately results in ST-CPs being seen as prime targets for mass attacks that require little to no planning, including shootings, stabbings, and bombings. These attacks are significant security risks, as they are often difficult to detect and are carried out rapidly. To effectively prevent such attacks and minimize the damage caused, it is necessary to implement intelligent surveillance systems that are able to conduct risk assessments in real time and from a distance. When covering such large and dynamic areas as ST-CPs, it is important to use network control systems that consist of numerous individual sensors placed at various key locations. These sensors must communicate rapidly and reliably in order to ensure a swift response, meaning that data must be shared quickly and without degradation. Much of our research has been focused on Quantized Stabilization Stochastic Network control Systems. Quantization errors are among the most common compression issues found in network communications. Our work is concerned with the most viable strategies for minimizing such errors, including methods such as feedback stabilization of Markov jump linear systems with time varying delay. Soft Target Engineering to Neutralize the Threat Reality (SENTRY) is committed to protecting against the threats to ST-CPs detailed above, particularly through the use of semiautonomous Virtual Sentries placed at critical points that process large amounts of information to facilitate real-time responses. © 2024 IEEE.

关键词： Quantization Soft Target and Crowded Places-ST-CPs Soft Target Engineering to Neutralize the Threat Reality-SENTRY Stochastic Network control Systems

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control Method of Dynamic Clustering Network in Wireless Sensor Network 5

Control Method of Dynamic Clustering Network in Wireless Sen...

引用

5th IEEE international conference on Power, Intelligent computing and Systems, ICPICS 2023

作者： Liu, Hailin Zhang, Chengguang Hu, Bingfu Weifang Engineering Vocational College Department of Information Engineering Shandong Province Qingzhou China

ISBN: (纸本)9798350333442

To solve the routing holes in wireless sensor networks caused by high energy consumption of cluster head nodes and shortage of spectrum, a dynamic clustering based method for wireless sensor network networking control is presented. In the early stage of cluster networking, the communication efficiency index is constructed by collecting the signal-to-noise ratio and energy consumption of wireless sensors (nodes), and the cluster head node and working frequency are selected. To avoid the routing holes caused by cluster head node death, periodically check the communication efficiency index of the nodes to dynamically adjust the cluster head node and working frequency. A smooth transition between old and new cluster head nodes is achieved by substituting nodes. This control method ensures that a wireless sensor with the best performance always has a stable communication with the external terminal as the cluster head node in the wireless sensor network, and improves the performance of the entire wireless sensor network. © 2023 IEEE.

关键词： Sensor nodes

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Intelligent system of labor market regulation based on the evolutionary modeling of employment 4

Intelligent system of labor market regulation based on the e...

引用

4th international conference on advances in computing, communication control and networking, ICAC3N 2022

作者： Rustamovich, Akhatov Akmal Mekhriddin, Nurmamatov Fayzullo, Nazarov Sabharwal, Munish Samarkand State University Vice-Rector for International Relations Samarkand Uzbekistan Samarkand State University Qahramonovich Faculty of Digital Technologies Samarkand Uzbekistan Samarkand State University Mahmadiyorovich Faculty of Digital Technologies Samarkand Uzbekistan School of Computing Science & Engineering Galgotias University India

ISBN: (纸本)9781665474368

Using individual systems to solve an existing problem will allow you to quickly solve the problem for a while. Gap studies conducted on the basis of methods of predictive analysis of the labor market have proposed an improved approach to labor market coordination based on existing approaches as a result of the analysis. The methods of regulating relations in the labor market and the modeling process are investigated. As a result, a coordinated model of labor market regulation was developed. Evolutionary models of solving the problem of coordinating employment in the labor market based on digital technologies and individual models and algorithms are presented. A stochastic mathematical model of self-organization is proposed in the labor market. The degree of stagnation of the stochastic mathematical model of labor market relations is investigated. © 2022 IEEE.

关键词： Employment

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Enhancing the Security of Healthcare Data in Cloud computing Environments 2

Enhancing the Security of Healthcare Data in Cloud Computing...

引用

2nd international conference on Computational Intelligence, communication Technology and networking, CICTN 2025

作者： Sajwan, Himani Kumari, Anjali Chauhan, Garima Kumar, Raj School of Computer Applications Manav Rachna International Institute of Research & Studies Faridabad India

ISBN: (纸本)9798331530389

Cloud computing has completely evolved the way health care data is managed, but it also introduces critical security vulnerabilities that can compromise the privacy of patient information and threaten regulatory compliance. Herein, we present one of the most severe challenges: securing EHRs in a cloud environment with access to data while maintaining HIPAA compliance. We introduce a novel hybrid framework combining homomorphic encryption with blockchain-based access control and dynamic audit logging. The framework was used with a three-phase experimental approach and was deployed over five major healthcare institutions while being analyzed for 2.3 million patient records over 18 months. Results showed a high success rate of 99.97% against denial-of-service attacks while showing reductions in latency time about data retrieval up to 3 4 % compared to traditional methods of encryption. Security-incident-based variation was reduced up to 78%, and 99.99% data integrity was achieved during concurrent access scenarios. Cost analysis shows that overheads in security management amount to a reduction of 4 5 % against conventional systems. Our results show that the proposed framework is far better for healthcare data security, along with improved operational efficiency and regulatory compliance. This work contributes to the literature by providing a scalable and cost-efficient solution addressing the most complex security requirements of modern health care systems in cloud environments. The fact that the framework is implemented successfully in real life seems to reflect its effectiveness for mass-scale implementation in health organizations. © 2025 IEEE.

关键词： Cloud security

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Study of K-string Hydraulic Manifold for Optimal control and Efficiency on Fluid Powered Vehicle 15

Study of K-string Hydraulic Manifold for Optimal Control and...

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15th international conference on computing communication and networking Technologies, ICCCNT 2024

作者： Habibi, Mohammad Tennessee State University Department of Mechanical and Manufacturing Engineering NashvilleTN37209 United States

ISBN: (纸本)9798350370249

In a world where the pursuit of sustainability and environmental consciousness has taken center stage, the search for cleaner and more efficient means of transportation has never been more critical. This study uses principles of fluid power, its historical context, applications for vehicles, potential for environmental sustainability, integration with renewable energy sources, and practical applications in daily transportation. Through this holistic examination, we aim to shed light on how fluid power can steer us toward a cleaner, more sustainable future on the roads ahead with the design of a vehicle that is fully powered by hydraulic fluid. To comprehend the complexity of fluid power-driven vehicles, we use hydraulic manifold for reduced weight and size but with consequent compromised pressure drop in the system. To counteract it a Computational Fluid Dynamics analysis is carried out to predict pressure losses. For alleviating uncalculated pressure drops and to bypass the need for additional components the K-string factors in to optimize control and efficiency. The modified control systems and feedback mechanisms ensure that the system operates safely and efficiently, with the pressure relief valve and accumulator providing safeguards and performance enhancements as needed. The hydraulic fluid circulates, and the cycle continues to provide the necessary power for vehicle movement. The entire assembly is then mounted on a bicycle and tested for optimal performance. The experimental setup uses a bike prototype with bidirectional motor, pump, and hosing to withstand a 3000-psi pressure, with a pre-charged accumulator. The vehicle is then tested for improvement in regenerative power, endurance, and efficiency and results are recorded for evaluation. © 2024 IEEE.

关键词： Computational fluid dynamics analysis fluid power vehicle hydraulic manifold K-String factors regenerative power

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