International Journal of Science Engineering and Advance Technology (IJSEAT)
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1075 research outputs found
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K-means- SVM To Predict Diseases From Fruits In Agriculture Data
No full textA fruit disease's early discovery is crucial since it will harm the agricultural sector. This work focuses mostly on the identification and analysis of fruit illnesses that are present in plant regions, as well as the documentation of the agricultural sector. In this study, the author uses the SVM algorithm and KMEANS segmentation to forecast fruit illnesses. When using KMEANS segmentation, similar colour clusters can be created. Clustering features are then utilised to train the SVM classifier, which uses those features to determine if an input image is normal or has a disease
New Control Strategy of Interconnected Micro-grids for Enhancing Power Sharing Capability
No full textIn this study, the AC-DC connected grids are only involved in power sharing or power regulation, but not both, due to operational hurdles to existing power management systems. To overcome these challenges, this paper is offered. In order to import electricity from an interconnected AC micro grid, this suggested autonomous power control system will first analyse the current state of the DC grid. Not only does this approach reduce the amount of active converters required in order to achieve lower energy transfer losses, but it also does so while also creating a DC micro grid. The plug-and-play qualities of generators and tie-converters are adhered to by the proposed system, making it totally self-contained. The suggested control system's efficiency is ensured under a variety of operating circumstances. Researchers were able to validate the suggested system's ability to autonomously manage power shortages in the DC micro grid, while still maintaining better power control and voltage regulations across the DC micro grid. Analysis is carried out in the MATLAB / SIMULINK environment to ensure accuracy
Diagnosis And Detection Of Hepatitis Disease Using ML
No full textThe main goal of this research is to determine the optimum method for diagnosing and identifying hepatitis while also taking future patient expectations into consideration. This study involved the completion of a comparative report between several machine learning technologies and neural networks. The precision rate and mean square error both affect the exhibition metric. The Machine Learning (ML) techniques, such as Support Vector Machines (SVM), K Nearest Neighbor (KNN), and Artificial Neural Network (ANN), were thought of as the characterising and anticipating tools for diagnosing hepatitis infection. In light of the accuracy of the sickness diagnosis prediction, a brief report on the aforementioned algorithms was completed
Speech Emotion Recognition Using Recurrent Neural Network
No full textSpeech Emotion Recognition is a project that identifies the emotion of a person based on his/her voice. This project is based on the Recurrent Neural Network(RNN), which uses different modules for emotion recognition. The classifiers are used to identify various emotions namely happiness, anger, sadness, disgust, fear, neutral state and surprise. In this there will be a recorded voice of a person and our system identifies the emotion from that recorded audio. Various features are extracted from the voice using the LIBROSA package of language python. Our system uses the same phenomenon that animals like horses and dogs use to understand human emotion. It analyzes the audio files in WAV format and returns the intended outcome i.e. the emotion
Data Security Using Steganography Through Media Files
No full textAlthough cryptography and steganography can provide data security, each of them has a problem. The problem with cryptography is that the cipher text looks meaningless, so the attacker will interrupt the transmission or make more careful checks on the data from the sender to the receiver. In steganography, once the presence of hidden information is revealed or even suspected, the message becomes known. According to this paper, a merged technique for data security is proposed using both cryptography and steganography techniques to improve data security. Therefore, two levels ofsecurity will be provided using the proposed hybrid technique. In addition, the proposed technique provides high embedding capacity and high-quality images and videos. Cryptography means encrypting the message using a symmetrickey and decrypting the message using the samekey. Steganography is the art of hiding the fact that communication takes place by hiding the information in other media files. So, encrypting themessage and hiding that encrypted message in the media file is called double security providing. This project hides the message in the media file
Steady State Analysis of Quadratic Boost and Interleaved Boost Converters for Renewable Energy Applications- A Comparative Study
No full textRecently, renewable energy sources have acquired more attention as compared with conventional energy sources due of their renewable and eco-friendly nature. DC-DC converters are crucial in their applications. Two different configurations based on the conventional boost converter are compared for renewable energy source applications in this paper. In one configuration, two boost converters are connected in series with a single switch (Quadratic Boost Converter), and in another, they are connected in parallel with two switches (Interleaved Boost Converter). The first configuration has a high voltage gain with a low duty cycle, while the second has a low input current ripple. The two configurations are compared in various aspects, like output voltage, voltage gain, inductor current, inductor current ripple and component counts. The configurations are designed in the MATLAB simulation environment by using the PLECS block set to validate the theoretical studies with ideal values. With a duty cycle value of 0.6 and a 12 V input voltage, the output voltage of the quadratic boost converter is 75 V and that of the interleaved boost converter is 30 V
Novel Repetitive Control Technique for Three Phase Four Wire Shunt Active Power Filter
No full textThis paper presents a discrete dreary control procedure for three stage four wire (3P4W) shunt enthusiastic force channel (SEPF). By and large, the control plan for power gadgets includes two control circles: slow acting external voltage circle and speedy performing inside current control circle. The reference for inward current circle is occasional in climate and can't be basically followed by PI controller. The dreary regulators (RC) are notable for their following capacity of occasional sign and deal high addition at every one of the frequencies. The high increase in higher recurrence reach might lead towards unsteadiness. Hence, in proposed work, the standard RC is changed by square its affectability work. Fluffy rationale regulator is utilized in this task to improve the force quality. This methodology brings about low sufficiency of affectability work while offering profound indents at low to mid frequencies range and more modest scores at high frequencies. This control approach has been reproduced and execute on 3P4W SAPF
The multi storage Protocol with Ranked Multi-Keyword Search in Cloud
No full textCloud storage is especially notable in continuous example as it gives more benefits over the standard stockpiling courses of action. To ensure security in cloud, encryption techniques expect an important part when information are moved to the cloud. The issue of recuperating the scrambled information over the cloud is awesome. Various pursuit strategies are used for recuperating the mixed information from cloud. This paper tomahawks around a course of action of catchphrase Search instruments over scrambled information, which gives got information recuperation high capability. Search over encoded information is a technique for exceptional excitement for the distributed computing time, considering the way that various trust that fragile information should be mixed prior to moving to the cloud workers with a particular ultimate objective to ensure customer information security. Devising a profitable and secure inquiry plot over mixed information incorporates procedures from ple spaces. It assumes that, watchword search is expected to be best strategy for looking through the scrambled information in the Cloud. It gives more profitability than single catchphrase search
Sharing Private Data with Group of Users via Cloud in a Secure Way
No full textIn the present days, cloud computing gives us an effective approach to impart data among cloud users to low support. In any case, in multiowner group, there is a significant issue with protecting data and personality security because of continuous change of enrollment some patterns are opening up the time of Cloud Computing, which is an Internet-based change and use of computer innovation. Security must be in given due significance for the cloud data with most extreme care to the data and certainty to the data possessed In this venture ,we are proposing a protected multi-proprietor sharing plan, for dynamic groups in the cloud. We are utilizing group mark and encryption strategies. One of the greatest worries with cloud data stockpiling is that of data honesty confirmation at untrusted servers. To safeguard data security, an essential arrangement is to encode data files, and afterward transfer the scrambled data into the cloud. To determine this issue as of late the best effective technique MONA displayed for secured multi proprietor data sharing. In our venture, we have expelled the issue that happened in existing framework. In existing framework at whatever point there is a denial of part shape group. Manager needs to produce another key and after that disseminate to different individuals, this was an exceptionally dreary work, so we utilize another procedure of group mark so that the revoked part is not ready to transfer or download files. Presently there is no requirement for producing new key each time at whatever point there is a repudiation of individuals
New Control System Based Solar PV Integrated Unified Power Quality Conditioner for Enhancement of Power Quality
No full textToday power system demand is increasing. In recent year’s power degraded at distribution side and Power loss is increasing at consumer side due to more uses of non-linear load. Power Quality issues created by sensitive load. In this paper MAF based UPQC device used to reduce voltage and current distortions. In this paper we use UPQC which consists of a series compensator and a shunt compensator and the PV cell is connected in between shunt and series connected voltage compensators. The compensator in series to a source is used to mitigate the voltage harmonics between the sources and loads. Whereas the shunt active filter is connected in parallel with the load is used to reduce and the harmonic currents produced by the load, reduce the total harmonic distortion (THD), extracting power from PV circuit, and increase the power factor of the system. The Synchronous reference frame based control is used in shunt and series compensators in UPQC. In this paper the power Quality can be improved by reduction of distortions leads to increase in efficiency of power system. The performance of MAF based UPQC is demonstrated by simulating the developed system design in MATLAB/Simulink under a Non-linear load