Volume 12 | Issue 1 |

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

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???????, ???????, ??? ??????, ????????, ???? (??????), ????????, ????? ?

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The efficient operation of electric motors is crucial in various industrial and commercial applications. Unforeseen faults in AC or DC motors can lead to system downtime, increased maintenance costs, and potential safety hazards. This abstract presents an overview of an intelligent fault detection system designed to enhance the reliability and performance of AC or DC motors. The proposed system integrates advanced sensor technology, machine learning algorithms, and real-time monitoring to detect and diagnose faults in motors promptly. Sensors placed strategically on the motor gather data related to temperature, vibration, current, and other relevant parameters. This real-time data is then processed by machine learning models, which have been trained on a diverse dataset of normal and faulty motor behavior. The fault detection algorithm employs a combination of supervised and unsupervised learning techniques to identify patterns indicative of common motor faults such as overheating, bearing wear, rotor imbalance, and electrical anomalies. The system continuously refines its understanding of normal motor behavior through continuous learning, adapting to changing operating conditions and minimizing false positives.

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Keywords - Blynk IOT, Machin learning, Fault Detection, Sensor.

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Creative Commons Attribution 4.0 and The Open Definition

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The Bakery industries are suffering from quality related problems. These problems include produce items of international standards, low quality raw material, low product confidence due to lack of quality assurance systems and increased pressure from high quality and competitive products in the local as well as global market. [1] The proposed solution is to implement certain Quality Assurance (QA) systems such as GMP (Good Manufacturing Practice), HACCP (Hazard Analysis Critical Control Points), ISO: 9000 and Quality Control (QC) activities in all their manufacturing processes. The main aim of this research work is to identify the major biscuit defects and their possible root causes to improve the quality of biscuits in order to be competitive in the local as well as global market. In this study, GMP (Goods Manufacturing Process) has been studied and two analyses have been done namely Pareto analysis and Ishikawa Cause and Effect diagram. Major biscuit quality defects have been identified by using Pareto Analysis and their possible root causes have been identified by using Ishikawa Cause and Effect Diagram. Based on the analysis of the collected data in the biscuit manufacturing Industry, 3 (three) major biscuit defects (burnt, pale and dark edge joint biscuits) and their possible root causes have been identified out of 8 (eight) defects. The identification of most significant and less significant causes among all the causes will be the research work for further study. This sort of work have left untouched due to lack of experimental setup, lack of resource and lack of some essential data.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Quality Assurance (QA), Quality Control (QC), GMP (Goods Manufacturing Process), HACCP (Hazard Analysis and Critical Control Points), ISO: 9000, Pareto Analysis, Ishikawa Cause and Effect Diagram.

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Creative Commons Attribution 4.0 and The Open Definition

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Power quality in power systems is one of the most important exploration in the recent age, and numerous experimenters working in this area keep the ideal to achieve quality power. This paper presents power quality issues in power systems, especially in INDIA. It also includes the colorful causes of power quality problems, their impact, and preventative measures to break the power quality issues. colorful mitigating bias were used to break colorful power quality problems and some styles suggested perfecting the power quality. Different types of regulator and their specific operations are also presented. A mongrel APF nominee is also suggested to alleviate the harmonics in our power lines. Eventually, the paper is designed to give an overview of the power quality miracle in power systems and can be employed by experimenters working in the area of power quality. The power quality relates Tonon-standard voltage, current, or frequency divagation that fails or, disoperation of end- stoner outfit. The power quality can affect the performance of the electrical outfit. The electrical outfit may have to be batted for the poor power quality. Further, sensitive loads like ASD's may trip leading to fiscal and time losses to the assiduity. This paper discusses the power quality issues, their goods on the electrical outfit, and the styles to reduce them.

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Creative Commons Attribution 4.0 and The Open Definition

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Electric Power Quality, Power Quality goods, Active Pollutants, Interruption, Harmonics, Sag, Controllerless.

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Creative Commons Attribution 4.0 and The Open Definition

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Smart city implementation is underway in India. Automating the tasks necessary to keep an eye on management operations and efficient resource consumption is the main goal of smart cities. Maintaining the cleanliness of the city and the manpower needed to do so is a key responsibility of city management. The administration would be able to more effectively organize and assign tasks to waste cleaners with the aid of an automated rubbish monitoring system. CNN is used to count the amount of trash and identify the different sorts of street garbage. Additionally, the system operates with great accuracy and efficiency. Incorporating the results into the street cleanliness calculation framework allows the municipal corporation to conveniently assign clean-up people by visualizing the street cleanliness levels.

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Creative Commons Attribution 4.0 and The Open Definition

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Trash Cleaning, CNN, Deep Learning

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Creative Commons Attribution 4.0 and The Open Definition

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Public health policy is fundamentally aimed at promoting community health impartially. However, the reality often reveals a different narrative where policy formulation is influenced by the demographic nature, market forces, and the prevailing political ideologies. This article sheds light on the various social factors and the multi-level political dynamics - micro, meso, and macro - that significantly shape public health policymaking. While past global events like the COVID-19 pandemic have exemplified the intersection of global politics and market forces in local policy decisions, this piece aims to transcend specific events. It focuses on a broader analysis of geopolitical influences in public health policy across various contexts. By examining social philosophy and advocating for attitudinal shifts, the article seeks pathways to implement politically unbiased, effective public health interventions, envisioning a future where health policy is guided by equitable principles, transcending political and market biases.�

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Creative Commons Attribution 4.0 and The Open Definition

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Public Health Policy, Political Influence, Healthcare Disparities, Social Stratification, Social Philosophy, Political Bias, Healthcare Accessibility, Socio-Economic Disparities, Medical Education Privatisation, National Healthcare Systems.�

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Creative Commons Attribution 4.0 and The Open Definition

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Now-a-days people are unaware of the fact that malicious webpages have such kind of scripts that they don't have to intentionally download a malicious attachment in order to compromise computer security,i.e.;it gets automatically downloaded in system. To save important data and software from these types of threats we must use some updated algorithm to detect malicious webpage .In the present research a machine learning based approached is proposed to identify malicious webpages from a heap of URL data. Random forest, logistic regression, support vector machine, K-Nearest Neighbors Algorithm is used. The data heap used in this research is collected from well-known sources such as GitHub, Kaggle etc. This novel work is further valuated against traditional machine learning model and our result highlights positive state in respect to the proposed approach. Hyper -parameter tuning, Quantile transformer make algorithm unique and classification, confusion matrix, ROC curve give the results of evaluation.

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Machine learning, URL, Logistic regression, Random Forest, Support Vector Machine, K-Nearest Neighbors Algorithm ,Confusion matrix, ROC curve, Classification Report, Hyper-parameter tuning, Quantile transformer.

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Creative Commons Attribution 4.0 and The Open Definition

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Orthogonal frequency division multiplexing (OFDM) is a multicarrier transmission scheme supporting high data transmission and generally requires no equalization at the receiver, making it simple and efficient. Most importantly in OFDM intercarrier bands are not required and also the crosstalk between the sub channels is eliminated. The two fundamental advantages of OFDM are its robustness against channel dispersion and its ease of phase and channel estimation in a time-varying environment. Every system has its own pros and cons, similarly OFDM as well has a few cons. The major, Disadvantage of this system is high Peak to Average Power Ratio (PAPR) resulting in performance degradation of DAC & decreases efficiency of power amplifier. In this paper we review on OFDM system, its different types of PAPR reduction techniques and comparison of different PAPR reduction techniques.

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Creative Commons Attribution 4.0 and The Open Definition

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OFDM, PAPR, CCDF, BER, HPA, SLM, PTS

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Creative Commons Attribution 4.0 and The Open Definition

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Creative Commons Attribution 4.0 and The Open Definition

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Creative Commons Attribution 4.0 and The Open Definition

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In recent years, multiple well-established business sectors, especially those where internet enterprises are popular, especially Google, Amazon, etc., have primarily turned to cloud technology for data retention and other reasons. Customers of cloud systems can take advantage of their simple processes, affordable setup, and cheap maintenance costs. The information protection practises of cloud services do, however, present serious threats. The issue of the security of cloud data and customer dependability remains dubious despite the constant analysis and reformation of the sector because of the proliferation of cyberattack techniques and problems with cloud storage platforms. This research provides a machine learning-based cloud data protection and search model that is impacted by balanced searchable encoding in order to address this danger and add to the effort of offering perfect information safety methods in methods of storing and retrieving data in the cloud. The proposed approach applies an accurate term ranking technique while enhancing private information through the use of an ANN. The proposed approach has superior functional ability when compared to multilevel SVM and Naive Bayes, according to a comparative study. The correlation between low FPR and high TPR supports the efficacy of the planned effort. A low CCR of 0.6972 further contributes to the efficacy of the suggested work.

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Creative Commons Attribution 4.0 and The Open Definition

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Encryption, Data security, Data Protection, cyberattack.

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Creative Commons Attribution 4.0 and The Open Definition