Volume 8 | Issue 5

 Abstract

Solar PV farm used for simulation studies involve of large number of PV module connected to grid connected inverter through ungrounded DC cables. Constructor report that about 1% of installed PV panel fails annually. Detecting phase to ground fault in ungrounded underground DC cables is also difficult and time consuming .therefore Identifying ground faults is a important problem in ungrounded photovoltaic (PV) systems because such earth faults do not provide abundant fault currents for their detection and location during system working. If such ground faults are not cleared rapidly, a subsequent ground fault on the healthy phase will produce a complete short circuit in the system. This paper present a novel fault-location scheme in which high frequency noise patterns are used to identify the fault location. The high-frequency noise is produce due to the switching transients of converters combined with the parasitic capacitance of PV panels and cables. Discrete wavelet transform is used for the decomposition of the monitored signal (midpoint voltage of the converters) and features are taken out. Feature extraction of the measured waveform at different frequency bands give feature information of voltage signal at different fault locations and are used as the feature vectors for pattern recognition. Then, a back propagation artificial neural networks classifier, which can automatically classify the fault locations according to the extracted features, is investigated. The proposed fault-location scheme has been primarily expand for fault location in the PV farm (PV panels and dc cables). The method is assessing for ground faults as well as line� line faults. These faults are simulated with MATLAB and the data are then analyzed with wavelets. Finally, the value of the designed fault locator is tested with varying system parameters. The results illustrate that the proposed approach has accurate and robust performance even with noisy measurements and changes in operating conditions.

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Ungrounded Photovoltaic system (PV), discrete wavelet transform (DWT), Multi-resolution analysis (MRA), Artificial neural network (ANN)

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The aim of this paper is to analyse wear behaviour of break friction lining manufactured with pistachio shell powder as filler material in place of asbestos. Asbestos replaced because asbestos denunciation is mostly harmful as they cause asbestosis and mesothelioma. Here in this work binder phenolic resin, frictional additives graphite and silica dioxide, reinforcing material copper used and most important pistachio shell powder as filler material in place of asbestos used. Sample manufactured by compressive moulding process. Wear rate of brake friction lining is gradually increases up to 30N load and beyond this load wear rate is higher. Wear behaviour of material also studied with FE-SEM, this shows presence of swallow groves and delaminated surface which are reasons behind increasing wear.

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Pin on Disc, Composite material, Pistachio shell, Wear Behavior, FE-SEM

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This report presents experimental study on effect of replacement of fine aggregate by Groundnut shell (GS). GS is used in concrete to minimize the demand of fine aggregate. The groundnut shells are available as agricultural waste in large amount every year. The groundnut shells were replaced in various percentages as 5%, 10%, 15% and 20% by weight of fine aggregate. The strength and durability properties of concrete were tested and compared with the conventional concrete. By comparing these test results 5% replacement of groundnut shell shows better results than the conventional concrete for both strength and durability tests.

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Groundnut shell, strength , durability

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A power quality issue, especially, voltage problem is the vital concern in most distribution systems today. So far, the voltage problem is mainly from under-voltage (voltage sag) condition due to a short circuit or a fault. Power quality in the distribution system is the important issue for industrial, commercial and residential applications today. The voltage problem is mainly considered from under-voltage (voltage sag) condition caused by short circuit or fault somewhere in the distribution system. This paper presents a series voltage regulator for distribution transformer which improves the voltage sag/swell occurring at secondary side of transformer. The hysteresis voltage controller based series voltage regulator which connect after transformer secondary side is presented. The controller is comprises of Phase lock loop for reference voltage generation, the hysteresis controller is used for generation of gating signal. The complete system is developed in MATLAB. System is tested for different power quality disturbances which provide sufficient results for power quality disturbance improvement.

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Index Terms - Distribution transformer, series voltage regulator, voltage sag and swell

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Recent days, the utilization of electricity and water increased, because of its demand. The lamps and pumps are left ON which results in wastage of electricity and Water. Automation of the garden helps to overcome all these problems. In public garden automation system we use various sensors to measure the moisture of soil and detect the temperature of surrounding also LDR sensor for observing intensity of light. Soil moisture sensor measure moisture in the soil we set a threshold value for moisture if it goes on that level of value then water pump will turn on automatically. Even the switching ON or OFF of the Garden lights is automatic, there will be no delay. As the public garden needs to be opened and closed in the morning and night, it has been fixed with a motor to complete the action. The live Status of the garden will be updated periodically. The authorized person can collect the data being transmitted. This data can be used for calculating the amount of water and consumption of electricity. The wastage of water and electricity can be reduced. The maintenance of Public Garden can become very easy and efficient.

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pi3 , soil moisture sensor, temperature and moisture sensor , LDR.

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On March 11, 2020, COVID-19�an infectious respiratory disease caused by a novel coronavirus that emerged in Wuhan, China�was declared a pandemic by the World Health Organization. As of April 1, 2020, more than 3.4 billion people, representing 43 percent of the world population, are in lockdown in more than 80 countries and territories around the world. The COVID-19 pandemic is having an enormous impact on higher education. In many countries around the world, campuses are closed and teaching has moved online. Internationalization has slowed down considerably. Despite these challenges, HEIs have reacted positively, often implementing new solutions to continue providing teaching, research, and service to society. Lockdown and social confinement measures have an enormous impact on higher education. Higher education has been disrupted as never before, but the fact that campuses are physically closed does not mean that higher education institutions (HEIs) have stopped functioning. On the contrary, faced with multiple challenges, they have had to respond quickly and find new solutions to previously unknown problems and new ways in which to continue teaching, conducting research, and serving society. This research study attempts to examine the current challenges and initiatives of Institutions and universities imparting higher education. To help higher education leaders navigate enrollment uncertainty, prepare for a number of different scenarios, and act with real-time information, this research study is conducting ongoing research and analysis to understand students� perspectives and concerns about their enrollment decisions. The study further provides recommendations to the education leaders based on the responses collected and findings drawn from the survey.

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HEI, Online teaching, Employability, Enrolment

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This study has been undertaken to advance the working of Robotic Vacuum Cleaner. An autonomous robot that can be used to do the works like vacuuming, surface cleaning and drying that includes suction part, mop motor 12v , Rubbermaid brushes, connecting link through MDF cardboard and two exhaust fans for drying and the whole setup s settled on 4, 10cm wheels driven by 12v high speed motors, also a drive system includes a steering system and control system for integrating operations. The control center includes Arduino uno a combination of microcontrollers with 3 relays installed to give instruction to all above mentioned three functions and connecting wires. Arduino s connected to all IR sensors and Ultrasonic sensors to receive all signals. Then Arduino that contain atmega328 give directory that s preinstalled by software algorithms.

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Robotic Vacuum Cleaner

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 Abstract

Background: The study was conducted in a Chemical process shop engaged in electroplating operations. The studies were conducted in the Process Shop with varying plating operations. The hazards under study are alkali dust, hydrochloric acid, phosphoric acid, sulphuric acid mists, chromium, zinc fumes and ammonia vapour and studied in selected work stations. Process and engineering control measures were implemented after conducting Lean Six Sigma projects by production team. Another set of study was conducted with the same methodology after 12 � 15 months after the implementations of the Lean Six Sigma methodologies. Aim: This study was initiated to explore and assess the prevailing chemical work environmental factors / hazards in the plant as well as the distribution of these hazards in the plants before and after implementation of six sigma studies. It is to assess the work room air quality by static sampling before and after the implementations of the process and engineering measures by Lean Six Sigma studies and determine the effectiveness. Materials and Methods: A cross sectional study was conducted with 15 samplings in each sub locations of the main processes like acid pickling zinc plating etc. About 50 workmen are engaged in these operations. Convenient sampling method was adopted to collect 15 static samples in each sub locations/processes in two different conditions. The work exposures were compared for compliance with the occupational standards and for the effectiveness of the implemented Lean Six Sigma measures in these operations. Statistical Analysis: Plant wise and operation-wise hazard distribution analysis was done on the compiled data. The data was analyzed by using the IBM-SPSS version-20 and the Mini-Tab Version-16 and the results were tabulated using p<0.05 as statistically significant. Paired t tests, Chi Square tests and Pearson�s correlation were performed to establish the effectiveness. Results: The measured data on various chemical air borne factors were compared with the Threshold Limit Values. For all the measured hazards like dusts, mists, fumes and vapours under study in two different conditions, Correlation and association analysis were done and it is found to be at 5% level of significance and 95% confidence interval level. Conclusions and Implications: This study has demonstrated that the chemical air borne factors were varying based on the process, operational conditions and control mechanisms. It is concluded that there is a significant level of association (p<0.05) before and after the implemented Lean Six Sigma measures and it is found that the implemented Lean Six Sigma measures were found effective to mitigate the hazard exposures in the process plant.

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Industrial hygiene, Chemical air borne factor, Lean Six Sigma, Threshold Limit Values, control measures.

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This paper discusses poverty alleviation in Islamic banks within the purview of Islamic micro financing. It will touch the on; the prohibition of riba (interest/usury), population and poverty distribution in different regions of the world, Islamic finance�s emphasis on welfare maximization as against profit maximization. Specific attention will be placed on Islamic micro finance instruments such as micro credit, micro equity, and charity financing.

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Key words: zakat interest, sadaqah, waqf, ijara, murabaha, mudarabah, musharakah, riba, salam, usury

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Nigeria as a nation remained the theatre of armed communal conflicts which result in widespread destruction, thousands of deaths, and enormous property losses for several years. These violent conflicts are labeled ethno-religious because what we normally call religious conflicts here often has ethnic, political and economic undertones, while the so called ethnic conflict are complicated by religious, political considerations. The perennial occurrence of the problem does suggest the inadequacies of both the prevailing intellectual analysis and prognosis of the problem as well as the remedies proposed and tried so far. This require an adequate understanding of its root cause, the course it takes, the intervening variables, and the potential outcome of the complex series of events which go into its making. This paper is an attempt at providing such an explanation concerning the devastating consequences of the long period conflicts and crises of and also discusses various strategies that should be adopted by all relevant agencies and groups for a lasting peace in the country.

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Keywords: ethno-religious, conflicts, socio- economic, political, government, crises, management.

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The phenomena of multiple drug resistance has led for the search of medicines from alternative sources, mainly those obtained from plants and hence termed as Phytochemicals. Although this search is challenging but this bioactive species serves mankind by providing an array of medicines along with overcoming the threats posed viz. drug resistance. Plants, during metabolism produce metabolites which may be primary (sugars and fats) and secondary (such as protective agents as well as bioactive compounds produced in response to stress and pathogens). In depth perusals of available studies reveal that Terpenoid contents in all the selected plants ranges between 40 to 60 %. Hence the forthcoming literature and study would be helpful in determining of therapeutic use of terpenoids, their isolation and use for the welfare of mankind.

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Terpenoids, Therapeutic use, Phytochemical, Terpenoids estimation.

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: Life in twenty first century is very fast and sometimes unknowingly the rider starts the bike and move forward without pulling off the side stand because of urgency which may cause unavoidable accidents. To avoid such accidents cause due to the carelessness of rider , we may produce the new advancement in bike that as we press the gear lever, the cable wire get stretched due to the hook catch lock get de-locked to lift the side stand automatically. There is a need of prevent the rider in this type of condition, which arises many times, hence, it is important to create one mechanism, which prevents the rider from the accidents caused due to ungifted side stand. The mechanism should be such that it should neither affect the original mechanism nor create make the side stand more bulky. In additional it should not increase the price of the bike. It is just a small mechanism, which operate the stand and operation will be easy. Therefore, it is necessary to have a separate attachment in a bike to lift up the side stand automatically

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Automatic, Avoid Accident, Mechanism

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Present study describes the formation of biogenic AGNPs containing Antidandruff shampoo with minimum side effects which provides a simple, rapid and economical route will have a great potential in cosmetic field. Nanoparticles were prepared by green method by using neem leaves using magnetic stirrer. These prepared nanoparticles was identified by particle size , UV spectroscopy , FTIR , Zeta potential and these prepared NPs were used for the preparation of antidandruff herbal shampoo. The herbal ingredients such as Amla , Shikakai , aloe vera , Reetha , turmeric, lemon oil were used and the prepared herbal shampoo was evaluated by using various test such as visual examination , foaming ability , pH , viscosity , detergency . From the above evaluations it is concluded that herbal shampoo was found to be safe and effective without any side effect.

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Neem extract, nanoparticles, herbal antidandruff shampoo, biogenic AGNPs, herbal ingredients, antidandruff.

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It is the need of the hour to establish the role of Ayurveda in antenatal care, which is under national rural health programs. Human evolvement throughout the conception to adulthood is conjoined association, shaped within cells, of nature [the deoxyribonucleic acid (DNA) we inherit] and nurture (the comprehensive nutritional, social, and physical environment). The augmenting field of epigenetic has perception that environment and individual lifestyle can directly interact with genome to influence epigenetic transformation. Ayurveda sighted the urge for the physical, mental, and spiritual anticipation of the mother to be for the momentous event of childbirth and emphasis has been given on care of mother during antenatal period. Developing living being seems to have a wide range of perceptivity to epigenetic modulation. Befitting drift in epigenetic modifications is essential for embryogenesis, early foetal development, and early postnatal growth. Thereupon, the inappropriate endowment of epigenetic changes during critical developmental periods as a result of changes in maternal diet and other environmental components may induce paediatric developmental diseases and even influence health in adulthood. Garbha Samskara as explained in classical texts of Ayurveda involves the combination of Garbhadhan samskara (preparation of to be mother and father prior 3 months of conception), Pumsvana Samskara and Garbhini Paricharya (planned program of observation, education, lifestyle modification, nutritional and medical management of pregnant lady). By adopting the custom of Garbha Samskara, antenatal care along with epigenetic programming can be done in order to have a healthy progeny. Garbha Samskara may be considered as Ayurveda antenatal care and a novel preventive measure in the context of adverse epigenetic changes.

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Antenatal care, Epigenetics, Garbha samskara, Garbhini Paricharya etc.

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Abstract: According to the United States Environmental Protection Agency (EPA), Storm water management is the effort to reduce runoff of rainwater or melted snow into streets, lawns and other sites and the improvement of water quality. Storm water runoff from urban and suburban areas generates numerous pollutants. The areas include residential areas, parks, commercial areas, industrial areas and road or highways. Nowadays there is an increasing amount of everyday flood incidents around the world, the impact of which poses a challenge on the society, economy and environment. The goals of storm water management include protecting our environment; reducing flooding to protect people and property; reducing demand on public storm water drainage systems; supporting healthy streams and rivers; and creating healthier, more sustainable communities. In this project we are aiming to manage storm water effectively by providing appropriate storm water control measures (SCMs). Index Terms �Storm water management, runoff, flood, rainwater, pollutants.

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Storm water management, runoff, flood, rainwater, pollutants

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ABSTRACT Researcher started the study with statement of the problem as Investors in india and their awareness of investment process and opportunity philosophy of mutual fund. With reference to Equity mutual fund, Debt mutual fund and balanced mutual fund. This study deals with identifying the better performing equity midcap funds among the selected group of funds by considering various parameters to help the advisors suggest the investors in choice of their investment. This study driven with Need for the study of doing this work is to know about mutual funds and its functions. This helps to know in detail about mutual fund industry right from its inception stage, growth and future prospects and It also helps in understanding different schemes of mutual funds. Researcher has set an Objective for the study as to study the various schemes to invest from investor point of view, to compare the risk involved and the yield in each scheme and to study the price movement and variation involved in the scheme with respect to NIFTY index. The secondary data was obtained from various mutual fund schemes and investors magazine and websites. Yearly fact sheets of mutual fund companies are important source of secondary data. The data obtained is analyzed using mathematical models and present value method analysis.

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Keywords � equity midcap funds, Debt mutual fund, NIFTY index, balanced mutual fund; schemes of mutual funds.

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Acute Lymphoblastic Leukemia (ALL) is the most widely recognized malignant growth in youngsters and grown- ups. The identification of leukemia in the prior stage is significant before it spreads into the circulatory systems and other fundamental organs. For a considerable length of time, the finding of leukemia has been finished by experienced administrators and it is a tedious undertaking for pathologists. Programmed recognition of Acute lymphoblastic leukemia disease in tiny pictures is difficult because of the complicated structures. To handle this issue, a programmed and powerful indicative framework is required for early identification and treatment. Right now, machine learning-based implementation of Transfer learning for classification is proposed to recognize leukemic cells and ordinary cells. The purpose of this paper is to compare three types of Convolution Neural Network (CNN) architectures and to find which of them is suitable for our detection application. These architectures are MobileNet, VGG16 and ResNet50. All the methods are done using Google Colab which is a free cloud service to create machine learning model, Tensorflow a machine learning library, openCV, keras and other libraries to accurately detect Acute Lymphoblastic Leukemia.

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Machine learning; Acute Lymphoblastic Leukemia (ALL); Google Colab; Tensorflow; openCV; keras; CNN ;ResNet50 ;MobileNet ; VGG16 ;transfer learning.

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Background: Dental anxiety has been known as a global public health concern that is a common problem affecting the populace broadly in different societies. So far, there are few studies considering the advancement of dental nervousness and oral wellbeing proficiency. Objective: The article intended to review the hypotheses that substantiate dental uneasiness and oral wellbeing education. To be included, articles need to have been distributed between the long periods of 1950 and 2019 concerning uneasiness inside dentistry. Methodology: This audit of the writing utilized the PRISMA strategy for the review of articles. Articles collected and reviewed between June 2019 and March 2020. An example decided by the incorporation and prohibition standards of the subject by utilizing PubMed, Scholar, Medline by means of OVID, and Cochrane databases. Studies that have broken down the impact of oral wellbeing education and dental anxiety. Result: Findings from most of the investigations recommend that Lack of sufficient dental wellbeing training may bring about an elevated level of dental uneasiness among adults populace. On typical prosperity capability levels were lower among explicit social affairs (youngsters, those in destitution, the people who got publically financed assurance, those with lower levels of guidance and the people who ignored to complete secondary school). Conclusion: complete ends from the investigations looked into are impractical because of the distinctions in the examination populace, age qualities considered, techniques utilized and measurable tests performed. Further research is required to concentrate on progressively young patients and patients who report past negative experiences identified with a dental gathering.

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Dental Anxiety, Oral Health Education, Adults

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Hoarding is a collection of various items where an individual finds it difficult to discard the items, clothes, and at an edge where individual is unable to discard the items. Hoarding can happen to anyone and it is a disease which doesn�t discriminate male and female. This occurs equally in both the gender. Sometimes you would have seen in our own home where your parents especially your mother would be stocking up the old things or commonly the plastic bag which you see in every house hoarded in a huge amount, but there is lot of difference between hoarding and collecting.

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HOARDING

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Nowadays, intrusion is a serious security threat in a network environment. To solve this security requirement, many researchers have argued that data mining can improve the performance of intrusion detection system. Among the datamining techniques, clustering is an important means for intrusion detection. The aim of clustering is to group the two observations into the same cluster if these observations close to each other in the original data space. Because of growing the size of computer networks and developed applications exponentially, the signi?cant increasing of the potential damage that can be caused by launching attacks is becoming obvious. The most important defence tools against the sophisticated and ever-growing network attacks are Intrusion Detection Systems (IDSs) and Intrusion Prevention Systems (IPSs) which can compromise the confidentiality, integrity or availability of resource.

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Intrusion Detection System; Cyber Security; Clustering; K-means clustering

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