Volume 8 | Issue 5

 Abstract

The present investigation has been designed to estimate the proximate composition of edible sea foods such as prawn (Penaeus semisulcatus), lobster (Thenus orientalis) and puffer fish (Arothron immaculatus). Selected marine edible species were collected from the landing centre at Pamban, Rameswaram Island. The collected samples were analyzed for their proximate composition including protein, carbohydrate, lipid, moisture and ash contents. The nutrient values varied among the three organisms. From the present results prawn and puffer fish had higher amount of protein content while lobster were rich in lipid and carbohydrate content. Our study suggest that three sea foods have shown to be good sources of nutrients while the prawn and puffer fish are particularly rich in protein, the lobster is rich in lipid content.

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 Keywords

Thenus orientalis, Penaeus semisulcatus, Arothron immaculatus, Pamban, Rameswaram

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In the traditional system, it is hard to be handle the attendance of huge students in a classroom. As it is time-consuming and has a high probability of error during the process of inputting data into the computer. Real-Time Face Recognition is a real-world solution which comes with day to day activities of handling a bulk of student�s attendance. Face Recognition is a process of recognizing the students face for taking attendance by using face biometrics. In this project, a computer system will be able to find and recognize human faces fast that are being captured through a surveillance camera. Numerous algorithms and techniques have been developed for improving the performance of face recognition but our proposed system uses Haar cascade classifier to find the positive and negative of the face and LBPH (Local binary pattern histogram) algorithm for face recognition by using python programming and OpenCV library. Here we use the tkinter GUI interface for user interface purpose.

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LBPH Algorithm,Haar cascade classifier

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The present study aims at the model development and critical analysis of a composite material based on hemp fibre, graphene and epoxy resin. The performance of the natural fibre composites depends directly on the fibres counting, length, shape, arrangement and also the interfacial adhesion with the epoxy resin. Hemp fibres have been found to possess excellent mechanical strength and young�s modulus, and good insulation properties. Hemp ?bers have properties that make them a suitable material to replace glass ?bers as reinforcements in composites. The composites made of hemp fibre with graphene and epoxy resin have exhibited good mechanical properties. Graphene is the thinnest material and also amazingly strong - about two hundred times stronger than steel. Graphene composites have lots of possible applications, with much research going on to create unique and innovative materials. The future of graphene composites includes medical implants, engineering materials for aerospace and renewable energy resources and much more. The under study, Hemp fibre-reinforced graphene composite material (HFRGCM) is modeled by using ANSYS Workbench (ACP). ANSYS Mechanical solves linear or non-linear static or dynamic issues for structural analysis of composite

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 Keywords

Composite materials, Epoxy resin, Fibre-reinforced composites, Graphene, Hemp

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 Abstract

Aim of the study is to see how students build their Vocabulary effectively when teacher teach Vocabulary through movies. Hypotheses are to see that Vocabulary can be learnt well through movies. Students learn with enthusiasm. To see development in acquisitions of Vocabulary, Researcher experiments of teaching Vocabulary through movies on engineering students (GTU, Gujarat). Fifteen students were selected for the experimental group, and another 15 students of the same class were selected for a control group who were taught Vocabulary traditionally. Both groups were given Pre-Test, and Controlled group was taught Vocabulary traditionally, and Experimental group was taught Vocabulary through Movies. After this experiment, Researcher takes post-test to see the development of Vocabulary. Researcher finds that teaching Vocabulary through English movies is effective than the traditional way. The study concludes that students are interested when they are taught Vocabulary through movies. It shows that students learn Vocabulary faster when they are taught by movies.

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 Keywords

Movie scene, Experimental group, controlled group, Vocabulary

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 Abstract

There is increase in the number of automobiles ,hence the air pollution is also increasing. It is very important to resolve the problem of air pollution resulting from automobile exhaust gases.In this paper a system is proposed which uses Radio frequency identification (RFID) technology as a low-cost and mature wireless communication method to collect and transmit emission information of vehicles and Internet of Things (IoT) concept is used. .Hence with the help of notification via the SMS the owner will be notified and further measures will be taken.By applying the system, it is possible to smoothly realize a green traffic network. As the usage of vehicles is increasing drastically, the hazards due to vehicles is also increased. The main cause for accidents is high speed, drunk and drive, diverting minds, over stress and sometimes due to electronic gadgets. This paper also deals with accident detection system that occurs due to carelessness of the person who is driving the vehicle.This introduces accident alerting system which alerts the person who is driving the vehicle. If the person is not in a position to control the vehicle then the accident might occur. Once the accident occurs, this system will send information and location to the person�s emergency contact number.

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 Keywords

Inspection system design, Internet of things, Radio frequency identificationAccident alert and detection.

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 Abstract

: Now a Days Industries are doing Great job but they forget about �security�, security of their products security of their companies. The purpose of this study is to keep intruders away from real system and to closely monitor the intruder to study the exploits which are used. Make use of the Vulnerability to trap intentional attackers and study attack.

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Honeypot, Network Security, Network Attack, Network Threats, Darknet, Malicious Attack,

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Abstract: Renewable technologies are considered as clean sources of energy and optimal use of these resources minimize environmental impacts, produce minimum secondary wastes and are sustainable based on current and future economic and social societal needs. Sun is the source of all energies. The primary forms of solar energy are heat and light. Sunlight and heat are transformed and absorbed by the environment in a multitude of ways. Some of these transformations result in renewable energy flows such as biomass and wind energy. Renewable energy technologies provide an excellent opportunity for mitigation of greenhouse gas emission and reducing global warming through substituting conventional energy sources.

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Keywords: Greenhouse gases, CO2 mitigation, Sustainable development, Renewable energy sources

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In Indian society awareness of healthy lifestyle continue to increase day by day. So, there should experience a strong growth in fitness industry and fitness centers, which has led to growing competition. Therefore, the fitness centers highly motivated to focus on these business opportunities. Hence, it is important for organization to understand how to obtain consumer loyalty and also how to satisfy consumers. It is very important for an organization to create the value for its customers because it is the customer who create the demand of the product or services in the market. So, the objective of this study was to examine the customer loyalties on the basis of these factors Customer satisfaction, Customer value, Physical Environment, Switching Cost. Data was collected through questionnaires distribution to local fitness centers in Jammu and was analysed on SPSS. The items were measured on 5-point Likert scale ranging from strongly agree to strongly disagree. The objective of the study is to explore the factors affecting customer loyalty towards a local fitness center.

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 Keywords

Customer satisfaction, Customer value, Physical Environment, Switching Cost and Customer Loyalty

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As we all know that in today�s time people are very much busy and stressed out with their work life schedule and do not have much time for shopping offline standing for long hours in retail stores. The working-class and the students who are pursuing their higher studies are mostly busy and do not have the time to physically visit the shopping store and purchase for themselves. That is why the concept of online shopping is there in the market for such segment of customers who can prefer online shopping. This study is an effort to analyse the various factors that influence the customer to go online and shop from the platform. This study analyses the online shopping behaviour of the customer from different age group. And also, emphasis on the role of demographics like (age, gender, education, maritial status, occupation and income) with respect to online shopping. This research also helps us to find out the factors that are restricting the customer to go online for the online purchase. The number of respondents in this research is 157 in total with the different set of age groups i.e. teenage, adults and old age people.

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online shopping, consumer behavior, demographics, restricting factors

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Pavement construction leads to concretization due to urbanization which caused the conversion of natural pervious ground into impervious layer. The impervious layers have reduced the groundwater recharge and increased the frequency of flash and floods along with urban heat island (UHI effects). One of the engineered ways to reduce the effect of impervious layers is by adopting pervious concrete pavement suitability. Pervious Concrete pavement helps to increase the groundwater recharge, reduce the UHI effect, and the frequency of flash and floods. However, the urbanization and implementation of pervious concrete pavement in Indian are very minimal owing to lack of expertise and experience. Pervious Concrete is a special type of concrete that does not have fine aggregates like conventional concrete pavement. It consists of cement, coarse aggregates, water and admixtures if required. As there are no fine aggregates in the concrete matrix, the void content is more which introduces porosity, hence also called as permeable concrete and porous concrete. Due to the introduction of voids, the compressive strength of pervious concrete is less. A lot of research work is going on to increase the compressive strength of concrete. Hence due to having low strength as compared to conventional concrete, it's usage is limited even though having a lot of advantages. For now, it's usage is limited to parking spots and lightweight traffic roads. If the properties are improved, we can use pervious concrete for medium and heavy traffic roads. The main aim of our study is to assess the suitability of the perforated road pavement system advantageously.

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Groundwater Recharge, Permeable Concrete, Porous Concrete, (UHI effects), Compressive Strength

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Sentiment analysis (SA) using code-mixed data from social media has several applications in opinion mining ranging from customer satisfaction to social campaign analysis in multilingual societies. We use a Hindi-English (Hi-En) and Telugu-English (Tel-En) code-mixed datasets for sentiment analysis and perform empirical analysis comparing the suitability and performance of various state-of-the-art SA methods in social media. To do any further advancement in code-mixed data, the necessary step is data preprocessing, Word Variation, sentiment analysis, sentence classification into positive, negative and neutral.

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 Keywords

Heartbeat Sentiment analysis, Code-mixed data, Word variation, Campaign analysis.

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This paper presents two different approaches to determine the fault distance under different types of fault on transmission line. The proposed technique uses two methods such as Modular ANN and ANFIS to find fault detection on UHV transmission line using one end data. Fault conditions are simulated using Matlab/simulink to obtain voltage and current signals. The proposed algorithm is tested for different locations, different inception angles and different types of faults. The performance of two systems are compared and analyzed. The result shows that ANFIS approach gives correct fault location with better accuracy.

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: Modular ANN, ANFIS , Fault location, UHV Line , One end data

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 Abstract

In the modern world, healthcare plays a major role that is of a big concern. The present models in health care may not be very compatible for the future trends. A new revolution called quantum age is evolving faster and will not only change the worlds in all field but will play a major role in healthcare field. Quantum computers are hard wired physical machines that use the properties of quantum physics. They can be used extensively to store data and perform large and complex computations that will outperform the best supercomputers. Traditional computers or even super computers, which include smartphones and laptops work on binary digits �bits� that can either be 0s or 1s but a quantum computer works on the basic unit of memory called quantum bit or qubit. The qubits encode 0s, 1s, or both at the same time. The superposition, entanglement and tunneling properties enable quantum computers to manipulate enormous combinations of states at once. Qubits are made using physical systems, such as the spin of an electron or the orientation of a photon that are intrinsically linked together. They work on two concepts called superposition and entanglement. Quantum computers has to protect qubits from external interferences like radiation and temperature. This can be achieved by either isolating them physically or keeping them cool. Additional qubits can be added if needed to correct the errors that creep into the system. Quantum computer working is called quantum computing. It returns various very good answers in a very short amount of time. This paper reviews mainly on healthcare applications and how quantum computing can solve a problem or find a best medicine for a given health problem.

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 Keywords

Quantum, superposition, entanglement, qubit, atomwise, atomnet, tunneling

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 Abstract

Abstract-: This research represents an administrative scientific contribution to reveal the required procedures from local hospitals in Basra in particular and in Iraq in general to improve ways to prevent infections and deadly epidemic viruses in the contemporary period to find a model interested in identifying the characteristics of hospitals driven by customers, especially when we know the scarcity of this topic in theory and practice. The proposed model, which was applied in Basra hospitals, to design health activities that fit the current or expected needs of clients (patients). For this questionnaire was designed and distributed to a sample of ten hospitals with a response rate of 80%. The research concluded that the hospitals under study were not provided by clients sufficiently. Therefore, the research ends with many recommendations on the importance of considering the client (external or internal) as a cornerstone of hospital success, the customer must be an active driving force for the purpose of hospitals, and health activities must be designed to meet this trend.

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 Keywords

Kay words:( Automated dimension components, Expressive dimension components, The impact of continuous improvement efforts, The value of medical work results)

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 Abstract

Film industry is an very well established industry which is multi billion.Lot of stake holders are involved in making of a movie.Success of movie depends upon various factors such as cast, genre of movie etc etc.But in our project we focus upon actor performance based on previous movie.Machine learning algorithm like linear regression helps us to predict approximate rating and collection of movie. It helps us to identify whether movie will be hit or flop

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Linear regression ,Machine learning

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 Abstract

Disaster management seeks to minimize targets to minimize the viable harm done by the disasters, to provide some immediate and sufficient assistance to the victims, and to achieve wonderful and quick recovery. Such aims include a deliberate and high-quality rescue operation that brings up disasters like these. Different types of information affect the disaster and thus are required to prepare an effective and immediate relief activity. These days the handy IoT technology is very mature and is conceivable to be quite useful in situations of catastrophe. For instance, sensors sent in the fields gather information about nature. Correspondingly, informal organizations like Twitter and Facebook can help to gather information from individuals in the calamity zone. This paper analyses the requirements for planning use cases for such herbal disasters and proposes an IoT primarily based use cases i.e., early warning systems, geographic information systems, flood monitoring & forecasting to cater to the recognized requirements. In this paper, we provide some of the aware use cases to support disaster management using the internet of things.

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 Keywords

INTERNET OF THINGS(IOT), EARLY WARNING SYSTEM(EWS), GEOGRAPHIC INFORMATION SYSTEM(GIS), FLOOD MONITORING AND FORECASTING.

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 Abstract

Emotion detection plays a vital role in recent days. Through this paper, we tend to gift a approach for building this desktop application using facial expressions. Our application will acknowledge the mood of a user through camera. For an instance, if a user is unhappy, then system will mechanically show some message along with user�s mood on the screen. For this whole system, we tend to square measure victimisation technologies like Machine Learning, Python , Data Mining etc . The testing dataset is being compared to coaching dataset and so motion is expected. the target of this paper is to develop a system which may analyze the image and predict the expression of an individual. Its some major Keywords: Image process, Python, Machine Learning.

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 Keywords

Python Machine learning

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ABSTRACT This study is an analysis of selected Consumer Sales Promotional Tools Impact on Purchase Decision. The study populations were Consumers Nestle Milo Products in Enugu South. The research design was survey design. The research instrument was a structured questionnaire. A sample of 200 consumers of Nestle Milo products in Enugu South was selected using convenience sampling method. Accordingly 200 copies of the questionnaire were administered on the sample selected and all the copies of the questionnaire were properly completed and returned. Data collected were analyzed using descriptive statistics, specifically, simple percentage, means and standard deviations. The study found that premium offer stimulates consumers� demand for the Nestle milo products and helps salesmen to draw customers� attention; bonus sales can induce consumers to purchase more of Nestle Milo Products and that price discounts draw consumers� attention to patronize Nestle Milo Products. Consumers in the area of study tend to attach greater importance on �price� when purchasing goods and services. The study recommended that premium offer as a sales promotional activity should be intensified for Nestle milo products to influence consumers� purchase decision; Bonus sales should be encouraged for Nestle milo products it induces consumers to purchase more of Nestle Milo Products and price discounts as a sales promotional tool must not be neglected in the marketing of Nestle milo products in Enugu South, Nigeria amongst others.

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 Keywords

Keywords: consumer sales promotion, promotion tools, purchase decision, milo products, Premium offer, price discount, bonus sales.

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 Abstract

We all are going through a tough time because of COVID-19. Hardly any nation and nation�s sector left untouched by the impact of COVID-19. Clearly, harmful impacts are visible to all but there are some opportunities available too. This article will review the impacts of COVID-19 on the psychological well being of humans and on some other important sectors of India. It will also put emphasis on opportunities provided by the lockdown due to COVID-19 which was earlier a thing to be forgotten.

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 Keywords

COVID-19, Pandemic, Impacts, Opportunities

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 Abstract

The security based circuit breaker is designed to protect the circuit from damage .which is caused by short circuit or overload. Many electrical accidents are happened due to miscommunication between the lineman�s & the electric substation staff .To avoid these accidents , The project is designed in which only authorized person can operate it with the help of password. The password based circuit breaker is a system that access only specified password to control the circuit breaker by authorized person only. Here , there is also a provision of changing the password .The system is fully controlled by a aurdino . The code is dumped into the microcontroller , A matrix keypad is used to enter the password and relay .

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 Keywords

Aurdino,Relay,LCDdisplay,Matrix keypad.

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