Volume 9 | Issue 6 |

 Abstract

A simplified control algorithm for a three-phase, four-wire unified power quality conditioner (UPQC) is presented to compensate for supply voltage distortions/unbalance, supply current harmonics, the supply neutral current, the reactive power and the load unbalance as well as to maintain zero voltage regulation (ZVR) at the point of common coupling (PCC). The UPQC is realized by the integration of series and shunt active filters (AFs) sharing a common dc bus capacitor. The shunt AF is realized using a three-phase, four leg voltage source inverter (VSI) and the series AF is realized using a three-phase, three leg VSI. A dynamic model of the UPQC is developed in the MATLAB/SIMULINK environment and the simulation results demonstrating the power quality improvement in the system are presented for different supply and load conditions.

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 Keywords

Active Filter, Harmonics, Reactive Power, Unbalance, UPQC, Voltage Regulation

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The Internet has changed the way of communication. Out of each type of communication, e-mails are more likely to be exploited. Messages, instant text messages, and online messages visiting have become a vital part of our lives. Spamming has become a threat that negatively affects e-mail. E-mail threats are an extremely significant issue in today's life. Also, many consequences are likely to cause productivity loss, occupy memory in mailboxes, viruses threat, and materials containing harmful information for a specific category of users. Destroy the stability of mail servers. As a result, users spend much time sorting incoming mails and deleting undesirable correspondence. Most of the time, spam calls are the aim of advertisements. While this helps to extend customers, it's often unwanted communication to several of us. While reaching consumers in a sizable amount so that the overall public presentation of their information could seem harmless, it's essential to recall that spam messages, in many cases, include non-commercial propagation or prohibited content. These can put the customer at the receiving end in peril.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Spam Messgaes, Spamers, Deep Learning, Machine Learning Algorithm, Accuracy.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The present system for Ration shops has many disadvantages. They have low processing speed. They have less man power, so the filling and the packing of products takes a lot of time. And some of the ration dealers weigh the products less compared to what was requested by the customer. This paper aims in providing an automatic filling machine which fills all the products requested by the customer, simultaneously, thus reducing the time consumed per customer. This machine works on the feedback of loadcell, which provides high weight accuracy, thus eliminating the risk for the customers getting cheated.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Loadcell, ESP8266, Servomotor, Ultrasonic sensor, ESP8266 webserver

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Air pollution is considered to be a major concern of the day.Many researches has been demonstrated on various fields on regarding air pollution and seeking a stable solution for the problem.Early prediction of air quality and to make it avail and aware to the society being an important aspect.This survey paper present about various machine learning algorithms for Air Quality Index Prediction and in-depth analysis of most relevant machine leaning algorithms available on the literature survey .The discussed techniques are Neural Networks, fuzzy a system, Support Vector Machine, Support Vector Machine for regression, fuzzy logic, Decision Trees, K-Nearest Neighbor,Naive Bayes,Random forest and Decision Trees.We are working on the algorithm with best accuracy.This will help the Government ,environmentalist and the general public to make the plans best.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Machine Learning, Prediction, Classification Technique, Decision Tree, Accuracy,Random forest.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

There is a high rise in the design on the utility of Internet technological innovation functioning day by functioning day. This amazing improve ushers in a huge volume of info produced as well as handled. For apparent great factors, undivided focus is thanks for guaranteeing group security. An intrusion detection system plays an important role in the spot of the earlier mentioned protection. The detection of protection associated operates by utilizing Machine Learning (ML) is extensively investigated. Intrusion Detection Systems (IDSs) are safety aids used to determine malicious activity. Network Intrusion Detection Systems (NIDS) are among most well-known contexts of machine learning software program in the security region. IDSs is generally categorized working for lots of criteria. One of these basic- Positive Many Meanings- crucial components is the detection tactic, around terminology of what IDSs (and NIDSs) is signature-based or anomaly-based often. The former group detects attacks by checking out the info flow below analysis to patterns stashed at bay inside a signature site of recognized attacks. The later detects anomalies dealing with a sort of typical behaviour of monitored phone system and also flagging activity resting outside of the item as anomalous or suspicious. Signature-based IDSs can determine trendy hits with too much precision but do not recognize or perhaps search for new hits, while anomaly based IDSs have that ability. In this specific task we focus on anomaly-based society intrusion detection by employing XGBoost algorithm on KDD CUP 1999 info positioned to get the ideal outcomes. XGBoost is a fairly recently accessible machine learning strategy that is been operating boosting interest. It gotten Kaggle's Higgs Machine Learning Challenge, about different Kaggle competitions, because of the general functionality of its. The match procedure was constructing a method intrusion detector, a predictive model good at distinguishing between "bad" connections, referred to as intrusions or hits, as well as "good" everyday connections. This specific site features a normal variety of info being audited, incorporating an array of intrusions simulated inside a military neighborhood atmosphere. The very first KDD Cup 1999 dataset offered by UCI Machine Learning repository features forty-one qualities (thirty-four constant, and 7 categorical) and also offers 3,925,651 attacks (80.1 %) outside of 4,898,431 papers. The whole goal is studying the integrity of info and in addition have a much better accuracy in the prediction of info. In that manner, the volume of mischievous info drifting in a method might be reduced, making the network a secured area to transfer info. The more secure a channel is, the less instances where data might get hacked or manipulated.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

XGBoost,Intrusion,Anomaly,Signature.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Abstract: Domestic violence is one of the crimes against women which might be related to their disadvantageous position in the society. Domestic violence refers to violence against women specially in matrimonial homes. The hassle is grossly under-reported. A range of causes were blamed for crimes against women. An inefficient law implementing agencies has frequently been jogged for the growing range of instances being reported. Also, psychiatric morbidity can perpetuate such crimes.?The act of domestic violence toward women is a?human rights violation?in addition to an illegal act under?law. It is consequently extensively taken into consideration a threat to women's rights via any lens. Greater gender equality can be accomplished if fundamental health needs are met and if cultural biases that permit for domestic violence in India stops. Women go through many types of physical and emotional?abuses?because of cruel, heinous and unlawful activities that happens with them in their homes. It has been seen through researches that women who've experienced domestic violence have a tendency to have more long-term mental problems and drug dependencies than others who do not face such problems. Domestic violence is greater in women belonging to low socio-economic status.?In India, decreasing domestic violence is vital not only from an ethical and human rights perspective but also due to apparent instrumental health benefits that might be gained from such reduction.

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 Keywords

Key Words: Domestic Violence, Crime, Women, Causes, Consequences, Laws

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Waste water generated from car wash service station contributes to majority of environmental contamination because of the chemical characteristics present in the car wash water. This research work compares the effectiveness of treating car wash water collected from car wash station located in Coimbatore using naturally available water hyacinth, chemical(alum) and electrocoagulation (Cu - Cu, Cu - Al, Al - Al) method. Different parameters like pH, turbidity, Chemical oxygen demand, oil and grease, total organic carbon were characterized for the collected car wash water. Oil and grease, Chemical oxygen demand contributes to majority of pollution. Experimental results show that electro coagulation method have better removal efficiency of oil and grease, Chemical oxygen demand and turbidity. Maximum Chemical oxygen demand removal efficiency of 61% and oil and grease removal efficiency of 70% has been attained by electro coagulation method. Water hyacinth has also shown a good result with Chemical oxygen demand removal efficiency of 50% and oil and grease removal efficiency of 54.5%. Electrocoagulation method has been found to give better results for the treatment of car wash water.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Electrocoagulation, turbidity, Chemical oxygen demand, oil and grease, Total organic carbon, car wash water.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Social media is a new and accelerating phenomenon that has to begin its jump in the 21st century. What is social media? It is a way that lets the user interact with many other users over the internet and participate in social networking activities for fun and also functions in professional use, aids in information gathering. The kick start for social media can begin with the invention of the World Wide Web which is credited to Sir Tim Berners Lee that led to the formation of various other search engines and other social media sites such as Facebook YouTube Instagram and many others. In 2021 there were 3.96 billion active users of social media and that began with the first social networking site that was called 'six degrees.com'. But just like a coin social media has two sides on one hand it provides entertainment, knowledge gain, advertising, various jobs and industries. On the other hand, they can cause mental fatigue (if used excessively )along with physical health issues, it can also lead to the propagation of fake news and propaganda and a major issue is cyberbullying along with privacy issues that can be harmful in various ways. Social media is a whole different world that has its flaws and boons, and to be honest, it may not be possible to categories 'social media as a good thing or bad. Therefore we can conclude that proper care should be given towards social media (the whole internet too) so that we can be safe and healthy while using them.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Social media, 3.96 billion active users, side effects.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The Internet of Vehicles (IoV) provides the concept of coordination of vehicles for enhancing safety of both the driver and the vehicle and also increasing transportation performance. Vehicles are coordinated for avoiding collisions by communicating their positions when they become closer. The information about location is identified by their geographical positions or the ones in road maps. The system can also be made efficient by informing about traffic jams by sharing their locations and destination. In this way, traveling time can be reduced. However, IoV also have some security challenges, such as keeping safe from virtual hijacking. To avoid this, vehicles should detect and avoid the hijacked vehicles ignoring their communications. This system presents a technique for improving security by applying certain prioritization rules, using digital certificates, applying trust policies and incorporating them with block chain technology for detecting and avoiding hijacked vehicles. Based on trust values the corrupted messages are blocked by the system itself and broadcasting of fake messages is completely avoided, thereby enhancing the security.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Internet of Vehicles (IoV), VANET, Broadcasting messages, RSU, V2V communications

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In a human body, skin is the core part, which helps to cover the muscles, bones what's more with the entire body. These days numerous people are suffering from skin cancer. Malignant melanoma is the deadliest form of skin cancer. The most serious type of cancer is Melanoma, which is the enormous type of skin malignant growth and the extent of these skin cancer is increasing day by day. Melanoma can be easily treatable if detected in early stages. Clinical as well as automated methods are being used for melanoma diagnosis. Image-based computer aided diagnosis systems have great potential for early malignant melanoma detection. Recognizing the type of skin cancer automatically from the images can assist in the quick diagnosis and enhanced accuracy saving valuable time. This paper presents review on automated diagnosis of skin cancer by analyzing image using Image Processing techniques with applying intelligence using Machine Learning. The purpose of this bibliographic review is to provide researchers opting to work in implementing machine learning learning for cancer diagnosis a knowledge from scratch of the state-of-the-art achievements.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Skin Cancer, Skin Lesion, Melanoma, Image Processing, Machine Learning

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Creative Commons Attribution 4.0 and The Open Definition