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A Fault Diagnosis of Sound and Vibration Signals Using Statistical Features and Machine Learning Algorithm

A Fault Diagnosis of Sound and Vibration Signals Using Stati...

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2023 IEEE International Conference on Integrated Circuits and Communication Systems, ICICACS 2023

作者： Aswani, Inakollu Kumar Kar, Naresh Ganguly, Tanaya Ramesh, G.P. Tejaswini, N.P. Koneru Lakshmaiah Education Foundation Department of Computer Science and Engineering Vaadeswaram India Gitam Deemed to Be University Department of Cse Hyderabad India K L University Vadeeshwaram Department of Computer Science & Engineering Vijayawada India St. Peter's Institute of Higher Education and Research Department of Electronics and Communication Engineering Chennai India Nitte Meenakshi Institute of Technology Department of Ise Bengaluru India

ISBN: (纸本)9798350398465

The sounds and vibrations that are given off by a rotating machine can provide insight into a wide variety of distinct problem situations. By conducting statistical analysis on the recorded sound and vibration signals and subjecting them to a variety of fault conditions, it is possible to generate statistical parameters. In order to obtain information regarding the numerous flaws, the signals in the temporal domain are analyzed using these characteristics. In order to locate flaws in the system, we make use of these values, also known as 'statistical features.' In this work, dimensionality reduction was achieved through the utilisation of a decision tree, principal component analysis (PCA), and independent component analysis (ICA). In order to classify the various fault states, the various classifiers were given these streamlined features to work on. During this inquiry, different kinds of classifiers were utilized, such as decision trees, support vector machines, clonal selection classification algorithms, and proximal support vector machines. This paper presents the findings of two sets of research involving statistical features extracted from sound and vibration signals and used in conjunction with the aforementioned feature reduction techniques and classifiers to detect twelve different fault conditions involving shaft, rotor, and bearing failures. The research was conducted by using sound and vibration signals as the primary source of data. According to this Proposed Approach, the Mean Classification Efficiency% of Vibration Signals for 24 Classes is 94.27%, while the Mean Classification Efficiency'% of Sound Signals for 24 Classes is 95.41%. © 2023 IEEE.

关键词： Principal component analysis

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Design and Development of a safety system for Motorbike incorporated with Artificial Intelligence using Image Processing 2

Design and Development of a safety system for Motorbike inco...

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2nd IEEE Mysore Sub Section International Conference, MysuruCon 2022

作者： Mohanapriya, A. Banu, D. Faridha Abiramasundari, S. Trisheela, S. Sri Eshwar College of Engineering Dept. of Ece India Sri Eshwar College of Engineering Coimbatore India Dr Mahalingam College of Engineering and Technology Dept. of Ece India Nitte Meenakshi Institute of Technology Department of Computer Science & Engineering Bengaluru India

ISBN: (数字)9781665497909

ISBN: (纸本)9781665497909

Automobile collisions are consistently ranked among the leading causes of mortality worldwide. Accidents involving bicycles have been dramatically increasing in a wide variety of countries throughout the globe. As a result, the development of a system that can identify and mitigate some of the common errors or slip-ups that a biker makes is of the utmost importance. The development of technology in the sector of transportation has helped to reduce the number of accidents that occur by identifying factors that are essential to a safe voyage, such as the presence of a diving licence, the detection of the helmet, and tiredness. There are methods based on machine learning that may assist in the determination of necessary criteria for safety drives. © 2022 IEEE.

关键词： Accidents

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Evaluation and Inference of a Proposed, Improved and Efficient W Model for Software Testing

Evaluation and Inference of a Proposed, Improved and Efficie...

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International Conference on Computing and Networking technology (ICCNT)

作者： S Senthil Velan Sivaranjani Senthil Velan P Rubini K Sudhakar Information Science and Engineering CMR Institute of Technology Bengaluru India Computer Science and Engineering MVJ College of Engineering Bengaluru India School of Engineering and Technology CMR University Bengaluru India Artificial Intelligence and Data Science NITTE Meenakshi Institute of Technology Bengaluru India

ISBN: (数字)9798350370249

ISBN: (纸本)9798350370270

Software Testing is an important and measured/outcome-oriented field that requires an in-depth analysis for developing new methodologies. This enables the development of high-quality end product resulting in fewer maintenance schedules. Several models have been proposed by research teams of different companies leading to improved development and testing schedules. Even with the availability of these models, a significant allocation of the budget has been dedicated purely on the maintenance of software developed by the IT industry. In order to address this need for improved process models of testing, a new exclusive and efficient W model has been proposed and explained in this paper. This model can improve the quality of end product, namely the high-quality software and further reduce the cost involved for the maintenance. Based on the quantitative measurement the proposed W software testing model, it was found the small scale software developed by adopting this method produces high-quality software with 50% less errors/faults compared to development using classical life cycle model.

关键词： Software testing Industries Schedules Costs Computational modeling Measurement uncertainty Software Maintenance Software measurement Resource management

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Machine learning integrated with an Internet of Things-based water management System 2

Machine learning integrated with an Internet of Things-based...

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2nd IEEE Mysore Sub Section International Conference, MysuruCon 2022

作者： Vinothkumar, U. Suresh, S. Sasireka, S. Hariprabhu, M. Nagarathna, P. Dr.N.G.P Institute of Technology Tamilnadu Coimbatore India Computer Science and Engineering KPR Institute of Engineering and Technology Coimbatore India Department of Computer Science and Business Systems Sri Eshwar College of Engineering Coimbatore India Department of EEE M.Kumarasamy College of Engineering Thalavapalayam Karur India Department of Computer Science & Engineering Nitte Meenakshi Institute of Technology Bengaluru India

ISBN: (数字)9781665497909

ISBN: (纸本)9781665497909

Pollution is the act of polluting environmental components including the land, water, and air with potentially dangerous substances. Examples of polluted environmental elements include air, water, and land. One of the most critical problems that has to be addressed immediately in industrialized nations is the pollution of the natural environment. The chief causes of pollution are the burning of waste that may be thrown away without being useful and the disposal of what is left in landfills. As a consequence of this, in order to lessen the amount of pollution that is produced, we proposed the creation of a method for recycling and reusing waste items. The mission of Prime Minister Modi's Swaccha Bharat Abhiyan, which is to clean up India, is also possible to be accomplished in an efficient manner by using the strategy that has been provided. In the article, a one-of-a-kind method is proposed, in which it is provided that wet and dry waste can be separated out into respective bins by the sensing of various sensors that are included along the conveyor belt on which initially crushed waste is traveling. This can be accomplished by sensing various sensors that are included along the conveyor belt. As a component of the research, this methodology is suggested. In the job that has been suggested, shards of glass, scraps of wood, and pieces of plastic, in addition to any other discarded remnants of material, are separated. By separating wet waste into organic manure for plant growth and recycling the bulk of the waste's dry components, such as wood, glass, and plastic, the economic value of garbage may be boosted to its fullest potential. This can be accomplished by sorting wet waste into organic manure. The potential contribution of the garbage to the circular economy is increased as a result of this action. We are using programmable logic controllers (PLC) as the key component, and the method that was proposed is one that can be reproduced. © 2022 IEEE.

关键词： Recycling

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Scheduling the Task of User in Cloud computing using Hybrid Procedure of PSO and Lion Algorithm

Scheduling the Task of User in Cloud computing using Hybrid ...

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Integrated Circuits and Communication Systems (ICICACS), IEEE International Conference on

作者： Parameshachari B. D. Usha M Shwetha N Mohan B R Department of Electronics and Communication Engineering Nitte Meenakshi Institute of Technology Bengaluru India Department of Computer Science and Engineering East West Institute of Technology Bengaluru India

Commonly used for tasks that may be performed on a network of remote servers or “processing units,” cloud computing is a popular platform for executing operations on virtual computers. In both the consumer and the provider realms, task scheduling is an important tool. Finding the best resource to complete a given work is a major challenge for any task scheduler. Thus, the researchers saw job scheduling as one of cloud computing's most basic challenges. Several methods have been proposed by academics to handle the optimization issue that is the optimum determination of scheduling criteria in cloud computing. This work presents a novel hybrid approach that combines the concepts of the Lion Algorithm with the Particle Swarm Optimization-(PSO) algorithm to address the aforementioned optimization problem. The research used both traditional parallel workloads and artificial workloads to perform its tests using the CloudSim toolset. The findings are compared to those produced by other similarly-structured, metaheuristic-based methods tested under the identical circumstances. The promising findings of our simulations suggest that our suggested method has real promise in this area. To reduce the time it takes to submit a particular process in a virtual environment, this study proposes improved versions of the PSO and LA algorithm, subject to user-required budgetary limitations. The results also indicate that, when applied to workflow issues operating on different virtual machines, improved versions of the PSO and LA algorithm outperform the original technique in terms of shorter schedule duration.

关键词： computers Cloud computing Schedules Processor scheduling Computational modeling Virtual environments Virtual machining

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AI-Enhanced Cloud Security Framework for IoT Networks Using a Predictive Analytics Approach 3

AI-Enhanced Cloud Security Framework for IoT Networks Using ...

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3rd International Conference for Advancement in technology, ICONAT 2024

作者： Ramesh Naidu, P. Dankan Gowda, V. Gujar, Shantanu Sudhir Shaikh, Salman Firoz Shandilya, Saurabh Sudhakar Reddy, N. Nitte Meenakshi Institute of Technology Department of Computer Science and Engineering Karnataka Bangalore560064 India BMS Institute of Technology and Management Department of Electronics and Communication Engineering Karnataka Bangalore India Rochester Institute of Technology Golisano College of Computing and Information Sciences Department of CyberSecurity RochesterNY14623 United States Rochester Institute of Technology Golisano College of Computing and Information Sciences Department of Computer Science RochesterNY14623 United States Poornima College of Engineering Department of Advance Computing Rajasthan Jaipur India Mohan Babu University School of Engineering Department of ECE Tirupati India

ISBN: (纸本)9798350354171

The use of IoT with cloud computing has seen a massive improvement when it comes to data processing as well as connectivity. However, this has its own set of security problems like violation of access, leakage of information and issues with respect to scaling up. These challenges are fundamental and complex, and so this paper seeks to introduce an AI-cloud security framework that incorporates the use of predictive analytical functions. It is used to provide a real-time measure of security threats in IoT networks with a view of safeguarding both the data and the devices used. The values of precision and recall were 95 percent and 90 percent, respectively, with an overall anomaly detection rate higher than the previous threat detection methods. The framework also unveiled overall improvements in response time and false positive rates over the conventional methods. Such findings suggest that implementing AI and predictive analytics into cloud security frameworks for IoT networks are highly conceivable. Concerning future work, the research underlines the need for security solutions that can adapt to IoT's increasing connectivity requirements in numerous applications and would open the path for the next developments in IoT protection frameworks. © 2024 IEEE.

关键词： Cloud security

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A Smart Governance Architecture for Integrating Heterogeneous IoT Solutions within the Framework of Smart Cities

A Smart Governance Architecture for Integrating Heterogeneou...

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2023 International Conference on Data science and Network Security, ICDSNS 2023

作者： Madhurya, J.A. Padhi, Manoj Kumar Kondala Rao, P. Awasthy, Mohan Pareek, Piyush Kumar Gitam School of Technology Gitam University Department of Cse Bengaluru India Koneru Lakshmaiah Education Foundation Department of Computer Science and Engineering Vaadeswaram India Hyderabad Institute of Technology and Management Department of Ece Hyderabad India Bharati Vidyapeeth Peeth Deemed to Be University Department of Engineering and Technology Navi Mumbai India Nitte Meenakshi Institute of Technology Department of Ai and Ml Bengaluru India

ISBN: (纸本)9798350301595

The Internet of Things (IoT) is a network of networked devices that links commonplace things to the Internet. The present IT infrastructure for managing IoT technologies lacks the necessary enterprise networking approach, which necessitates municipal collaboration. This is due to the compartmentalization of smart city app functionality. To integrate heterogeneous Internet of Things solutions within the framework of smart cities, we offer a smart governance architecture that integrates power needs, security constraints, and scalability components. This will promote cross-sector contacts at all levels and contribute to the accessibility of smart cities. This research proposal suggests a multi-level governance model for the distributed administration of IoT subsystems as a possible way to solve the problem of IoT systems in smart city applications that don't work together. As an important part of smart governance, the proposed architecture includes things like a one-of-a-kind model, open-source software, and digital objects. The goal of this research is to run a proof-of-concept simulation to test the suggested infrastructure. A lot of thought will be put into the solution for multi-level governance, as well as security and the resolution of digital objects with security constraints. The proposed infrastructure is meant to make it possible for different Internet of Things technologies and agents to work well together by providing security, repeatability, scalability, and interoperability. © 2023 IEEE.

关键词： Smart city

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A Hybrid Data Sensing in Intra cluster Communication by using Mac Protocols in Wireless Communication

A Hybrid Data Sensing in Intra cluster Communication by usin...

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2023 IEEE International Conference on Integrated Circuits and Communication Systems, ICICACS 2023

作者： Vinutha, C.B. Geetha, N. Padmini, Viriyala Sri Anima Nayak, Sanjib Kumar Chaithra, N.K. Sri Siddhartha Institute of Technology Ssahe Department of Electronics and Communication Engineering Tumakuru India H. K. E. Society's S. L. N. College of Engineering Department of Computer Science & Engineering Raichur India K L University Vadeeshwaram Department of Computer Science & Engineering Vijayawada India Department of Cse Hyderabad India Nitte Meenakshi Institute of Technology Department of Electronics and Communication Engineering Bengaluru India

ISBN: (纸本)9798350398465

Wireless Sensor Networks (WSNs) have become increasingly popular due to their numerous beneficial features, such as low power consumption, adaptability, fast response time, reliability, dynamic nature, affordability, and ease of installation, making them applicable in various fields for different purposes. However, effective data sensing in WSNs requires the use of proper Medium Access Control (MAC) protocols. In order to conserve energy and minimize redundant sensing, cluster members transmit their data to the leader node, which is facilitated by appropriate clustering methods. In this study, we propose the Enhanced Energy-efficient Real-time MAC (EERMAC) protocol. The EERMAC protocol uses a combination of two different access methods: CSMA/CA (Carrier Sense Multiple Access with Collision Avoidance) for real-time data and vTDMA (variable Time Division Multiple Access) for periodic data. The proposed EERMAC protocol outperforms existing protocols in terms of packet delivery ratio (PDR), throughput, jitter, and packet drop rates. The queuing model implemented by EERMAC effectively prevents congestion, leading to reduced packet delay. This study presents an innovative solution for addressing the challenges of data sensing in WSNs and showcases the potential of EERMAC to enhance the performance of WSNs for various applications. © 2023 IEEE.

关键词： Carrier sense multiple access

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Convolutional Neural Networks for Analysis and Recognition of Facial Expressions 2

Convolutional Neural Networks for Analysis and Recognition o...

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2nd IEEE Mysore Sub Section International Conference, MysuruCon 2022

作者： Nandhagopal, S.M. Saranya, D. Devi Priya, R. Daniel Shadrach, Finney Kalshetty, Jagadevi. N. Jain University Engineering and Technology Department of Computer Science and Engineering Karnataka Bangalore India Sri Eshwar College of Engineering Department of Information Technology Coimbatore India Kpr Institute of Engineering and Technology Department of Cse Tamilnadu Coimbatore India Kpr Institute of Engineering and Technology Department of Electronics and Communication Engineering Tamil Nadu Coimbatore India Nitte Meenakshi Institute of Technology Department of Computer Science & Engineering Bengaluru India

ISBN: (数字)9781665497909

ISBN: (纸本)9781665497909

Facial expression recognition is one of the foundations that gives enormous aid and simplicity for people working in the fields of artificial intelligence, gaming, marketing, and healthcare;it is also one of the foundations that is at the centre of many recent advancements. People are able to communicate their feelings to one another primarily through their facial expressions, which is significant given the significance of emotions as a tool for effective communication. Facial expressions are the primary means through which people convey their sentiments to one another. The process of identifying the feelings that are being sent on a person's face during social encounters is one that is both necessary and challenging. It is feasible to utilise the identification of facial expressions in conjunction with other security measures in order to raise the level of protection that is given to an individual. In the case that a consumer uses an automated teller machine and displays indicators of anxiety, it is possible that the computer will be programmed to refuse to dispense cash to that person. A person who is blind may also benefit from this since it may assist them in understanding the sentiments and facial expressions of the person who is standing in front of them. Discovering others on social media who are experiencing depression via their accounts might also be useful. This may be used in games to assess a player's strong and weak places, and the difference between the two can be formed by analysing the player's expressions at various moments throughout the game. This can be used in games to analyse a player's strengths and weaknesses. The technique known as "feature extraction"was used so that the areas of the faces that were determined to be the most important may be concealed. © 2022 IEEE.

关键词： Face recognition

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NAARI- A Portable Sanitary Napkin Vending Machine

NAARI- A Portable Sanitary Napkin Vending Machine

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Self Sustainable Artificial Intelligence Systems (ICSSAS), International Conference on

作者： Chinmai Shetty S Y Malathi H Sarojadevi H S Ranjan Kumar G Suchetha Sanjoy Kumar Debnath Dept of Information Science and Engineering NMAM Institute of Technology-Affiliated to Nitte (Deemed to be University) Nitte India Dept of Computer Science and Engineering KLE Institute of Technology Hubballi India Department of Computer Science and Engineering Nitte Meenakshi Institute of Technology Bangalore Shri Madhwa Vadiraja Institute of Technology and Management Bantakal Udupi India Department of Information Science and Engineering Sahyadri College of Engineering and Management-Affiliated to VTU Mangalore India Chitkara University Institute of Engineering and Technology Chitkara University Rajpura Punjab India

ISBN: (数字)9798350368413

ISBN: (纸本)9798350368420

In an effort to address the challenges of menstrual hygiene management in developing countries, a portable sanitary pad vending machine was developed. The vending machine is powered by an Arduino Uno microcontroller and a power source that ranges between 5 to 12 volts. It features an liquid-crystal display (LCD) keypad, token acceptor with an Radio Frequency Identification (RFID) scanner for validation, and a L298d motor driver that powers two DC Servo motors to turn the spring coil system that delivers the sanitary pads or disposable bags to the user. The entire system is enclosed in a metal box for protection against damage. The LCD keypad serves as an input and output device, displaying information about the vending machine and providing instructions for its use. With the token acceptor and RFID scanner, only authorized users are granted access to the vending machine. The scanner reads the user’s RFID card, which has a unique identification number, to confirm their authorization. The portable vending machine is designed to be cost-effective and easy to use, providing an innovative solution to menstrual hygiene management challenges. It is also portable and can be relocated to various locations. Overall, the vending machine serves as a critical resource in promoting menstrual hygiene and addressing the challenges that come with it. Its use ensures that individuals have access to essential sanitary products that they need to live healthy lives.

关键词： Coils Accuracy Microcontrollers Motors Liquid crystal displays Security Springs Servomotors Protection Radiofrequency identification

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