Volume 11 | Issue 8 |

 Abstract

Among many types of web-based applications, real-time streaming footage has become the standard broadcast standard. In this paper, we investigate Amazon Prime Video, which is an online video-on-demand service that allows us to view sporting activities, motion pictures, and other events. Each component of the video that streams online is then further broken into various bit rate variants. The quantity of bits sent in a specific amount of time is known as the rate of transmission for videos. Utilizing the wireless network analysis programme Wire shark, we quantify the bit rates modulated throughput of Amazon Prime Video Streaming. The rate of modulation depends on a pair of factors, like traffic rate and video resolution; the latter is used to gauge a video's capacity and network capacity, which takes into account the higher bandwidth requirement, the better the quality must be.

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 Keywords

Wireshark, Amazon Prime, Bandwidth, Resolution, Streaming

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Satellite photos are widelyusedinfieldsincludingemergencymanagement,security,andenvironmentalmonitoring.Thesegoalscan'tbeachievedwithout the help of humans and the ability toproperlyidentifyobjects.Withsomanypossiblesearchspaces and so few analystson hand, automation is essential. However,owingtotheirfocusonaccuracyandprecision,conventionaltechniquestoidentifyitemsandcategorizationareconstrainedintheircapacitytodeliverasolution.Automatingthesestepsusingsupervised neural class ML algorithms hasshownsomesuccess.Thereissomeevidence that convolutional neural networks,akindofartificialneuralnetwork,mayenhancebothpictureidentificationandunderstanding. In this case, we use them tolearnhowtoidentifyartificialfeaturesinhigh-resolution,multispectralsatelliteimagery.Weprovideadeeplearningapproachtoclassifyingfeaturesor

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Classification of Satellite Images Using Deep Learning

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Congestioninbigcitiesisbecomingmoreproblematicas urban populations & automobileownership both grow. Everyone suffers inconvenient delays when traffic is backed up. motorists,but it does increase fuel consumption and pollution. Despite its apparent global prevalence, bigurbancentersare especially at risk. Therefore, it is becoming more vital to calculate trafficdensityinrealtimeinorder to optimize signal timing and manage traffic flow. The trafficcontroller plays a crucial role in the smooth flow of traffic. Therefore, there is an urgent need forenhanced traffic management to fulfill the expanding demands of the public. To measure trafficlevels, our system would utilize artificial intelligence and processing of images to examine livefeeds via cameras installed at crossings. The algorithm for adjusting the timing of traffic lights inresponse to traffic volumes is also highlighted in an effort to make travel more efficient forpassengers and reduce pollution.

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MANAGINGS TOP AND GO TRAFFIC WITH AI

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 Abstract

With the increasing adoption of cloud computing, data security has become a significant concern for organizations and individuals. In this context, efficient and secure keyword search techniques are essential to retrieve relevant information from encrypted data stored in the cloud. This paper proposes an ensemble multiple-keyword search approach with enhanced data security in a cloud environment. The proposed system combines the strengths of multiple keyword search techniques to achieve better search accuracy and efficiency. The ensemble method leverages various algorithms, such as inverted index, bloom filters, and homomorphic encryption, to overcome the limitations of individual techniques and provide robust search capabilities. The proposed approach employs encryption mechanisms to protect sensitive information to ensure data security. The data is encrypted before being uploaded to the cloud, ensuring only authorized users can access and retrieve the information. Homomorphic encryption enables the cloud server to perform search operations on the encrypted data without decrypting it, preserving the privacy of the stored information.

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 Keywords

Cloud computing, Symmetric-key, homomorphic, and Attribute-based Encryption (ABE).

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Grecordingsoftenincludeseveralartifactsofvaryingtypes,magnitudes,anddurations,whichmakesaccurateautomatedorhumandiagnosischallenging, if not impossible. The real ECGsignal, which has been tainted by artifacts,cannotberestoredusingany oftheECGdenoising algorithms established by variousresearchers.WeofferanewmethodforblindECGrecoveryutilizingloopadversarialgenerativenetworks(Loop),where reliability of signals may be enhancedtothelevelofclinicalECGdespiteanumberofartifactsofvariedformsandintensities.Byusingagenerativebrainmodel to improve restoration performance,weprovidefullyoperational1DCycle-GANs. The suggested method (CPSC-2020)wasrigorouslytestedusingoneofthebiggestbaselineelectrocardiogram(ECG)dataset ever produced as a component of theChinesePhysiologyDataChallenge.Agroupofcardiologistsexaminedthepatient toensurethequalityanduseoftherecovered ECG, especially in establishing anaccurate arrhythmias diagnosis. This studyprovesthatdegradedECGsignalscanberestoredtoclinicallyacceptablelevels,making it a watershed moment in the field ofECGrestoration.

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 Keywords

Cycle-GANs for Blind Electrocardiogram Restoration

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 Abstract

Success in digital marketing, an online business, depends on solving cyberspace security issues. More people are choosing to work online and launch technology and digital businesses as the Digital Age develops. One well-known example is marketing. In recent years, a brand-new marketing genre called "digital marketing" has evolved. Given that it may help practically every organisation, digital marketing is a lucrative and important industry. They must be knowledgeable about how to safeguard their businesses against cybercrime as more people enter or develop in digital marketing. Cybercrime can involve the theft, misuse, and tampering of personal information and internet accounts. This article examines ways to protect a digital marketing company's success in light of the ongoing cyber threats. Data was gathered from people interested in digital marketing using online websites. There are opportunities to improve the efficiency and safety of financial transactions by integrating digital technology into the operation of national financial systems.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Digital marketing, Cyber security, Digital fraud, digital economy, financial security

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

E-commerce App with AI Voice Assistant

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

E-commerce, AI Voice Assistant, Voice Search, Mobile application

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The nexus of legislative issues and wrongdoing has consistently made the genuine reason for legislative issues unessential. In the foundations of decentralization of governmental issues, fundamentally in the get together races, panchayat decisions, civil races, applicants with expanding criminal picture have clarified that governmental issues (battle for power) was accomplished by involving popularity based implies for the government assistance of its residents. It is known that, presently the rising number of up-and-comers and pioneers with criminal picture, even crook picture, utilize political power just for their futile advantages. Heads of any ideological group don't focus on foster incredible political qualities and standards of citizenship. They don't advance positive energy and country building responsibility. Legislative issues or the utilization of political power is the same old thing. The crazy circumstance is that the most common way of expanding criminalization of governmental issues in Bihar has prompted the politicization of wrongdoing instead of criminalization of legislative issues and has turned into a noticeable element of the legislative issues culture of the present decision class. Criminalization of governmental issues is an intense issue in Bihar, which has proactively arrived at perilous levels. This evil of criminalization of governmental issues draws in unique consideration of individuals as the subject spins around the personal stakes of all party legislators on the grounds that such individuals can never trust that lawmakers will show any drive to correct this fiendishness. In this exploration paper, an endeavor has been made to break down the rising predominance of hoodlums in Bihar governmental issues and its healing measures

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 Keywords

Criminal, Criminalisation, Politics, Winn ability, Bihar

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Many fuels are utilized in households for cooking. These fuels are categorized as solid and clean eco-friendly sources. Biogas generation is an example of waste-to-energy conversion. Biogas is generated through the conversion of organic waste such as kitchen waste, animal waste, and agricultural residue (rubber wash) generated in households/ small farms through the bio-methanation process. Different types of biogas plants are installed and adopted in households. There are 2 types that are widely adopted and installed, (i) Fixed dome and (ii) Floating drum. The study area was the Kanyakumari District of Tamil Nadu. The biogas beneficiaries list was collected from authentic sources such as District Rural Development Agencies, NGOs, and Turn-key agents (People/Organisations who help users adopt biogas at home). The census method was adopted to identify and interview 270 biogas users in the district with the help of a detailed questionnaire. Biogas is an excellent choice of fuel for cooking purposes. Results from the study are that, of three different raw materials-based biogas plants, agriculture residue (rubber wash) is more efficient in which quantity of gas generated is higher. Likewise, fixed dome type of biogas plant generates more gas in quantity. The study with a micro perspective recommends more rubber wash-based fixed dome-type biogas plants to be installed and adopted in higher numbers in the study area.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Biogas, Waste to Energy Conversion (WTE), Raw Materials, Type of biogas plants, Households

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Modern agriculture faces the challenge of efficiently predicting crop yields to ensure food security and resource optimization. This research focuses on using machine learning and data analysis to improve the accuracy of crop yield prediction in modern agriculture. The study uses a comprehensive dataset containing geographical, climatic, and agronomic attributes. The objectives include data preprocessing, feature transformation, algorithm selection, and model evaluation. The dataset comprises 28,242 entries with crop yield, climate factors, and location details. Initial exploration reveals correlations and trends, and data cleaning procedures are implemented. The analysis provides insights into crop production by region and type. Various machine learning models, including Linear Regression, Lasso, Ridge, K-Nearest Neighbors, and Decision Tree Regression, are employed and evaluated. Decision Tree Regression performs well with a high R-squared score and low mean squared error. The model's practical application is demonstrated through a hypothetical yield prediction scenario, showcasing its potential for aiding agricultural decision-making. The study concludes that combining machine learning and data analysis can enhance crop yield prediction accuracy, enabling informed decisions and sustainable food production.

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 Keywords

Crop yield prediction, machine learning, data analysis, agricultural productivity, predictive modeling.

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Creative Commons Attribution 4.0 and The Open Definition