Volume 10 | Issue 5 |

 Abstract

The following paper documents the results and findings of morphometry analysis conducted on the Sita River basin as well as discuss the behaviour of the drainage network and the implications of the drainage behaviour on the surrounding landform, vegetation, activities, and population.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Morphometry Analysis, river basin, GIS, remote sensing, geology, hydrology.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In this thesis, we have a tendency to address a brand new security drawback within the realm of collaborating device networks. By collaborating device networks, we have a tendency to discuss with the networks of device networks collaborating on a mission, with every device network is severally closely-held and operated by separate entities. Such networks square measure sensible wherever variety of freelance entities will deploy their own device networks in multi-national, commercial, and environmental situations, and a few of those networks can integrate complementary functionalities for a mission. Within the state of affairs, we have a tendency to address associate degree authentication drawback whereby the goal is for the Operator Oi of device Network Si to properly confirm the quantity of active sensors in Network Si. Such a retardant is difficult in collaborating device networks wherever different device networks, despite showing associate degree intent to collaborate, might not be fully trustworthy and will compromise the authentication method. We have a tendency to propose 2 authentication protocols to deal with this drawback. Our protocols place confidence in Physically Unclonable Functions, that square measure a hardware based mostly authentication primitive exploiting inherent randomness in circuit fabrication. Our protocols square measure light-weight, energy economical, and extremely secure against variety of attacks. To the simplest of our information, ours is that the 1st to addresses a sensible security drawback in collaborating device networks.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Sensor, Path. Routing, Algorithms

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Pushover, Seismic analysis, Linear static analysis, Nonlinear static analysis

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

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DESIGN & IMPLEMENTATION OF A MICROCONTROLLER BASED LOW COST DTMF CONTROLLED ACOUSTIC & VISUAL DETECTING ROBOT TO MONITOR CHILD & AGED PERSON

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The relationship between moonlighting and unemployment is based on the logic that downward pressure in wage rate due to massive unemployment either may discourage moonlighting through income effect or may induce moonlighting through substitution effect. This study disapproves any such relationship between moonlighting and unemployment in Estonia. Application of Engle Granger cointegration test to a quarterly time series data of Estonia from 2000:Q1 to 2021:Q4 confirms that there exists no such long run relationship between moonlighting and unemployment.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Moonlighting, Engle Granger Cointegration Analysis

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

For the past few years ,we have seen many applications related to playing and teaching musical instruments. But most of the apps have their set of songs to play and also some of them may not involve our own choice which is a major limitation of these applications. This proposed system solves this both issues. The main intention of this system is for the user to enjoy the time of usage. In this system, audio as input is fed into the system where piano notes separated from the in put and these notes are highlighted on the screen piano key display along with the music. Many systems have already been developed which generate sheet music by taking song as input. This paper presents one such system that aims to display the corresponding key along with the song with an emission of key as per the piano notes. Improvement is achieved by working on source separation and chord estimation modules of the previous system. There are huge number of artists already present globally in the music industry. Apart from them, music professionals, students, learners and amateurs also form part of this large music community. Virtuo piano is one of the sources for learning and playing songs for these artists and amateurs and also this can be used even by a duff person. Virtuo piano is an aid in the form of a application consisting of keys on display and sheet music with chords lyrics of a song, and is very helpful to piano even for a duff person. It enables players to identify the corresponding key, chords, rhythm, pitch to any song.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

LSTM, ML, RNN, Source Separation

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Unauthorized person, which means when someone enters into your device, system or your house without your permission is said to be unauthorized access. CNN methods are being used to handle these unauthorized access problems with the help of open cv (open source computer vision library). It is a open source computer vision and machine learning software library. Apart from that we also use 3D modelling, face detection, visual authentication techniques for capaturing images of unauthorized person we also installed camera with memory facility. This project demonstrates to increase the capability of the devices we have constructed. Our proposed method integrates a better approach, intended to advance the cooperativeness of the explore operation. In this work, we develop the application with a device to eradicate the unauthorized access of unknown persons into our premises Our application can be able to alert the persons whenever any unknown person is trying to enter into our premises.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

KEYWORDS: Access, Unauthorized, Application, Deep Learning, Face Detection.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Events of cycling

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This paper presents a low-cost flexible and reliable home automation system. By using this project user can monitor and control the home appliances anywhere in the world. This IoT-based home automation system has the following features. Control appliances with Alexa and Arduino IoT Cloud dashboard, control the relays with the IR remote, control appliances manually with push buttons. And also monitor the real-time room temperature in the Amazon Alexa app and Arduino IoT Cloud. The purpose of this project is to control home appliances with the internet from anywhere in the world. If there is no internet available still, we can control the appliances manually by using IR remote and push buttons. The home automation system not only refers to decrease human efforts but also save the energy and time competence. To demonstrate we are using ESP32 module in this project. It helps the user to monitoring the room temperature and controlling the home appliances.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

ESP32, 4 CHANNEL RELAY, ALEXA, Arduino IoT Cloud, DHT11

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The growth in internet and e-commerce appears to involve the use of online credit/debit card transactions. The increase in the use of credit / debit cards is causing an increase in fraud. The frauds can be detected through various approaches, yet they lag in their accuracy and its own specific drawbacks. In this work, the behavior-based approach to classification is used to improve its accuracy. If there are any changes in the conduct of the transaction, the frauds are predicted and taken for further process. Due to large amount of data credit / debit card fraud detection problem is rectified by the proposed method. The credit card frauds can be detected by evaluating the CC purchasing patterns using the historical data in order to detect the frauds. This data evaluation can help the banks or other organizations offering credit cards to minimize their losses due to the credit card frauds. The historical data evaluation with the current purchasing patterns requires the statistical modelling, which can automatically evaluate the fraudulent patterns and alarm the banks about the transactions. This helps the banks for early detection of the frauds, where they can easily eliminate the CC frauds by declining the suspected transactions.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Cyber security, Credit card, Machine learning

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Creative Commons Attribution 4.0 and The Open Definition