Paper for Issue

Power System Stability Enhancement Using Fact Devices

Abstract

The development of the fashionable grid has crystal rectifier to associate degree increasing quality within the study of power systems, and conjointly presents new challenges to grid stability, and specially, to the aspects of transient stability and small-signal stability. thus grid engineers square measure presently facing challenges to extend the facility transfer capabilities of existing gear. this is often wherever the versatile AC Transmission Systems (FACTS) technology comes into impact with comparatively low investment, compared to new transmission or generation facilities. versatile AC gear (FACTS) devices use power natural philosophy elements to take care of controllability and capability of electric power system. The paper aims towards the performance of UPFC is compared with alternative FACTS devices like Static Synchronous Series Compensator (SSSC), Thyristor Controlled Series electrical device (TCSC), and Static volt-ampere Compensator (SVC) severally. The simulation results demonstrate the effectiveness of the UPFC on transient stability of the system. Doi : 10.5281/zenodo.14190428

T BOX WIND POWER GENERATION

Abstract

This paper refers to the generation of electricity by the roll of wind turbine and the wind is caused due to the movement of train. The electricity will be produced or generated through the wind energy as train runs over the road tracks. Essential form of wind energy produced by train conception is really unique and it will be operated to run the multicolored loads connected to the train cabin and access generated power will be operated by storing the power in the batteries. This propose work is an attempt to generation of electricity via renewable energy sources.

Vehicle control system implementation Using CAN protocol

Abstract

Present Autos area unit being developed by added of electrical belt for effective operation. usually a vehicle was assembled with associate analog automobilist- vehicle interface for indicating chromatic vehicle standing like speed, energy degree, Engine temperatureetc., This paper presents the event and accomplishment of a digital driving system for asemi-autonomous vehicle to ameliorate the automobilist- vehicle interface. It uses associate ARM grounded knowledge accession system that uses ADC to bring all management knowledge from analog to digital format and vanity through Plasma. The communication module employed in this arrangement is bedded networking by will that has effective knowledge transfer. It conjointly takes feedback of car conditions like Vehicle speed, Engine temperature etc., and management led by main control. additional this unit equipped with GSM that communicates to the holder throughout brink things.

Development of Quick Charging System for Electric Vehicle

Abstract

Despite the low environmental impact and high energy efficaciousness, electric vehicles (EV) have not been widely accepted by people to date. The lack of charging edifice is one of the reasons. Since lithium-ion battery used for electric vehicles has high energy thickness and low internal resistance that allows quick charging, the convenience of EV may be greatly enhanced if charging edifice isgoadequately.Tokyo Electric Power Company (TEPCO) aims for EV spread to reduce CO2 overflows and to increase demand for electric power, and has developed the quick charging system for cavalcade- use EV to enhance the convenience of EV. And hung on probe results, we will propose desirable characteristics of quick server for public use

A Survey of Image Processing and Identification Techniques

Abstract

Image processing is always an interesting field as it gives enhanced visual data for mortal simplification and processing of image data for transmission and illustration for machine preception. Digital images are reused to give better result using image processing. Ways analogous as Gray scale conversion, Image segmentation, Edge discovery, Point Birth, Bracket are used in image processing. In this paper studies of different image processing ways and its styles has been conducted. Image segmentation is the original step in multitudinous image processing functions like Pattern recognition and image analysis which convert an image into double form and divide it into different regions. The fashion used for segmentation is Otsu’s system, K- means Clustering etc. For point birth point vector in visual image is texture, shape and color. Edge detector with morphological motorist enhances the clarity of image and noise free images. This paper also gives information about algorithm like Artificial Neural Network and Support Vector Medium used for image type. The image is distributed into the open class by an ANN and SVM is used to collect all the distributed result. Overall the paper gives detail knowledge about the ways used for image processing and identification.

Effectiveness of Artificial Intelligence in Stock Market Prediction Based on Machine Learning

Abstract

This paper tries to address the problem of stock request vaticination using artificial intelligence (AI) strategies. The stock request vaticination can be modeled grounded on two top analyses called specialized and abecedarian. In the specialized analysis approach, the retrogression machine literacy (ML) algorithms are employed to prognosticate the stock price trend at the end of a business day grounded on the literal price data. In discrepancy, in the abecedarian analysis, the bracket ML algorithms are applied to classify the public sentiment grounded on news and social media. In the specialized analysis, the literal price data is exploited from Yahoo Finance, and in abecedarian analysis, public tweets on Twitter associated with the stock request are delved to assess the impact of sentiments on the stock request’s cast. The results show a median performance, inferring that with the current technology of AI, it's too soon to claim AI can beat the stock requests.