Volume 9 | Issue 8 |

 Abstract

In recent years Power Quality has become an important issue for both utilities and customers. The increasing use of power quality sensitive equipment forced the distribution utilities to adopt a new method for continuously monitors the power quality of grid. Poor power quality may cause overheating of lines, inaccurate metering, and reduced efficiency of appliances. This dissertation proposes a new method to classify certain power quality disturbances. The power quality disturbances such as voltage sags, voltage swells, and voltage interruptions will be considered under study. In this dissertation work simulation of an electrical power system with power quality disturbances is done in MATLAB Simulink. Capturing of voltage signal is done for analyzing the power quality disturbances. The simulation results are further analyzed for the classification of power quality disturbances using MATLAB programming. The captured voltage signals are decomposed by using the signal processing techniques namely Wavelet transform. The estimation of statistical parameters is done from the decomposed signals for feature extraction. The extracted features are further used to classify the disturbances using soft computing techniques namely KNN. The proposed Wavelet-KNN approach classify these frequently occurring power quality disturbances accurately and with less computational complexity

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 Keywords

Machine Learning, KNN, SVM, MATLAB simulation , Wavelet

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This descriptive study has conducted about; the worldwide pandemic COVID-19 has lead incalculable existing examples and patterns to the surface. In spite of the fact that, we have various shortcomings and weaknesses: these incorporate an emphasis of disparity, chances that follow from the privatization of training, and exactly how ill-equipped we were for a huge shift to computerized and separate learning. What's more, on the off chance that we see the other hand, some certain highlights inside our social orders have additionally gotten progressively noticeable. We are seeing fortitude and a solid, versatile reaction to challenges in numerous social orders. We see expanded thoughtfulness regarding the public great. We saw cleverness, devotion and inventiveness from the numerous instructors, families and understudies who are cooperatively constructing surprising learning encounters. It has brought hazardous occasions for state funded instruction, with dangers of crumble and disentangling as we remain to lose the two educators and understudies who may not get back to schools once they return. Along these lines, the differently privatization exclusively, when taking in moves from schools into the home. We ought to be likewise concern that we would already be able to hear claims that the current crisis and specially appointed measures ought to be changed into enduring changes. All things being equal, we likewise need to perceive that numerous guardians and networks have stirred to an enthusiasm for educators' work and their polished methodology. An ever increasing number of individuals are becoming mindful of the different jobs that schools play in accommodating the prosperity of kids and youth, and in guaranteeing wellbeing and nourishment, close by scholastic learning. It is a conjuring to feel that web based learning is the way forward for all. We additionally learn about the term preventive right to training under the phenomenal conditions made by the pandemic, and to work with the degrees of trust important for worldwide cooperation in activating assets to help the general right to instruction, we approach all schooling partners to screen that schooling assets are utilized for the sole reason for propelling the interests and capacities of students. It is important to be particularly careful of defilement and forestall the catch and redirection of instruction assets to propel private points. It has seen that the media assume a vital part in this worldwide crisis. Thus, a dire assignment in the Covid-19 pandemic is to effectively connect with individuals, organizations, ventures, examination, and public conversations to advance fundamentally and brilliantly educated praxis. The article contends the various things about media and education system to post Covid-19 pandemic and also help to look for and foster basic applied exploration approaches and make plan standards for vote based and emancipatory digitalization of schooling. Also, we need more extensive cultural discourse about reasons for instruction and about the sort of society we need to create in the with Covid-19 world. Innovation and their suppliers ought to take action accordingly.

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 Keywords

Media, Education System post Covid-19, Commitment of Public & Students, Collaboration, Media and Technology.

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In India agriculture contributes approximately 20% of GDP with employed workforce of 41%. India is the second-largest producer of agriculture crops. The technological contribution may help the farmer to get more yield. The research focuses mainly on South Indian agricultural crops from Karnataka ,Kerala, Tamil Nadu and Andhra Pradesh. In this study we have proposed a system for crop selection and to identify parameters that are responsible for growth of certain crops. There are many machine learning algorithms that can be used for such predictions one among them is Random Forest Regressor. Here we have used Random Forest Regressor algorithm to know the exact crop to be grown based on the parameters entered by the user along with other crops suitable for that region .The data of crop cycle for summer, Kharif, rabi, autumn and whole year is used. The dataset is resourced by gathering data from kaggle and climate-data.org .The experimental parameters considered for study are cultivation area, crop, state, district, season, year , rainfall ,soil pH and temperature. The concept of this paper is to implement crop selection method by identifying the features responsible for growth

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 Keywords

Random Forest Regressor, Crop Prediction, Machine Learning.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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 Keywords

Green Human Resource Management, Corporate Social Responsibility, Sustainable Development, Carbon Footprints, Retention, Integration

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Creative Commons Attribution 4.0 and The Open Definition

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The challenging process industry requires true power for its smooth functioning and here comes the importance of good power or power. The term Power Quality (PQ) aims at supplying true power to the process. The scope of the power quality increased with the introduction of newly designed sophisticated devices like computers and microcontrollers. The performances of these devices are extremely sensitive to the various power quality problems. The mainly occurring PQ problems are voltage sag, voltage swell, voltage flickers, harmonics distortions etc. The concept of power quality became increasingly complex and vital with the introduction of recently designed sophisticated and sensitive devices, whose real time performance is extremely subjective to sensitiveness of the supply. Power Quality (PQ) has turned to be a serious issue to electricity consumers at all levels. Power quality is a major concern to electricity consumers today. The sensitivity factor of the power electronic equipment and non-linear loads to the input excitations voltages are widely used in process control as well as individual consumers which lead to the PQ problem. The paper gives a brief review in accordance with relevant literature surveys classifies the various electric power quality disturbances using wavelet transform analysis. The survey includes detection voltage disturbances and categorization of the type of event. The power quality analyzer is designed and used to measure the occurrence and classification of PQ events. Malfunction of the equipment will happens when the power failure occurs. Several signal processing techniques for the detection and classification of these disturbances are studied and discussed here. The detection techniques are mainly based on signal averaging, RMS method, Kalman Filter method, Fourier Transforms, Wavelet Transforms etc. Wavelets and fast Fourier transforms are of major importance in the classification.

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Creative Commons Attribution 4.0 and The Open Definition

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The work on clinical study and research work is to show the biological activity of Nux vomica on Central Nervous System using Actophotometre. One dose of Nux vomica (0.1ml/kg) is administered orally to the Albino mice once in a day. The effect CNS locomotor activity is measured using the Actophotometre. The study shows that the action of drugs Nux vomica has significant depressant activity on central nervous system, when compared with the standard drug Chlorpromozine hydrochloride.

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 Keywords

Nux vomica, CNS ACTIVITY, Actophotometre, Albino mice

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

தமிழ் அகராதியில் முல்லைப் பாட்டின் ஆய்வு

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தமிழ் அகராதியில் முல்லைப் பாட்டின் ஆய்வு

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Creative Commons Attribution 4.0 and The Open Definition

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transplantation, antigens; graft; immunology; immunosuppression; rejection; transplant; autograft; xenograft; stem cell; immunosuppression; lymphokines; MHC

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Creative Commons Attribution 4.0 and The Open Definition

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This paper describes smart agriculture methods using Internet of things Technology, which enhances the yield and ensures the less human intervention for agriculture works. High accuracy and Low power are the prime factors to make any IoT arrange favorable and allowable to the Ranchers. In this paper we have designed the controlling mechanism for the flow of water in to agriculture farm depends on the wetness of the soil which is required for the specific crops. The Humidity and Temperature value will be sensed for the specific action by the farmer. The long range data transmission of the sensed data is possible as projects adopt LoRa technology.

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Creative Commons Attribution 4.0 and The Open Definition

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Smart Agriculture, Internet of Things, LoRa Technology, Ranchers.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Road accidents are one of the most relevant causes of injuries and death. This is also one of the serious issues, which can possibly cause disabilities, injuries and even fatalities. There are many of reasons that contribute to accidents. Some of them are internal to the driver but many are external. For example, adverse weather conditions like rain, cloudy, and fog cause partial visibility and it may become difficult as well as risky to drive on such roads. This paper aims to provide an Overview of the area of the art in the prediction of road accidents through clustering techniques and machine learning algorithms.

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 Keywords

road accident data, Machine learning, K-means Clustering, Analysis, Visualization, prediction.

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Creative Commons Attribution 4.0 and The Open Definition