Agriculture has highly significant role in the growth of Indian economy that pressurizes it to seek modern scientific approaches in order to increase the yield. Problems of limited availability of resources like land, labor etc. have made it to impart technology to revitalize the economy of the country. Machine learning has emerged with multipronged opportunities to aid data intensive agri-technologies domain. This paper proposes framework that makes use of C 5.0, SVM, Naive Bayes machine learning algorithms to predict the agricultural productions as low, medium and high yield. In addition to this we are calculating accuracy and time taken as metrics for the particular yield.

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This paper is a literature review on swarm intelligence, its algorithms and applications, it mainly focuses on Particle Swarm Optimization (PSO), Ant Colony System (ACS), Stochastic Diffusion Search (SDS), Bacteria Foraging (BF), the Artificial Bee Colony (ABC), and so on. SI can be used in controlling robots and unmanned vehicles, predicting social behaviors, enhancing the telecommunication and computer networks, etc. This paper summarizes different swarm intelligence algorithms and its applications in various fields.

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This project proposes a control method for a static excitation system to regulate the terminal voltage of the machine and meets the excitation power requirements under all normal operating conditions. The main parts of Static excitation system are AVR, limiters, power system stabilizers, field breakers, field suppressors, thyristors, auto channel and manual Channel. The major faults in Static excitation system are classified as Trip Fault, Non-Trip fault and Protection change over faults. In any excitation system several logic systems are employed to control various operations like field breaker closing, tripping, pumpless transfer to standby channel when active channel has failed and alarming stages. In the existing system the detection of faults needs a greater number of electromagnetic relays and timers which is a tedious process to control. So, the project aims to replace 35 to 40 electromagnetic relays and timers by a single PLC unit thereby increasing the system reliability.

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The internet of things (IoT) can implement transparently a very large amount of heterogeneous end systems, while digital service provides open access to sub set of data. This paper focuses on smart street light system. In this system the street light systems are automatically ON, DIM and OFF according to the situation. This smart light system automatically detects the movements of the object on the street. In the traditional system IR sensor is used to detect the object. The microcontroller is used to control the process. This paper is focused on the controlling intensity of the light considering the object movement near the light. Once if the sun light goes under the visible region then this system automatically switches ON light. As soon as the sun light is visible then automatically switches OFF lights. This Smart light system is used to reduce energy consumption. In this smart system the system uses some of the sensors. This smart system is used to avoid unnecessary usage of electricity. The entire smart system is designed to operate using artificial energy source. The IR sensor and LDR sensors are used to sense the human being and light intensity of a particular area and transmits the data in wireless to the EB section. This smart system is best suited for street lighting in remote urban and rural areas where the traffic is very low.

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Refrigeration is the science of the producing and maintaining temperature below that of the surrounding atmosphere. This means the removing of heat from a substance to be cooled. Heat always passes downhill from a warm body to a cooler one, until both bodies are at same temperature. Not only pemisable today many human work spaces in offices and factory building are air conditioned and a refrigeration unit is the heart of the system. The evaporation carried away heat and cooled water. This system was used by Egyptian and by Indians in the south west. Natural ice from lakes and rivers was often cut during winter and stored in caves, straw lined and later in sawdust insulated building to be used as required. Though these methods of cooling all make used of natural phenomena they were used to maintain a lower temperature in a space or product and may properly called refrigeration. Nowadays there is need of more compact system as people are looking for smaller and less complicated system. Also due to increasing pollution and global warming, there is utmost need of less polluted and eco-friendly and compact refrigeration system in day to day life. And the most possible system that engineers are looking for is Vortex Tube Refrigeration System.

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In this present electronic age the development of the country is going at a very fast phase. The highway plays a major role in the development of the country and also improves the standards of living people. The aim of this project involves to lay the flexible pavements with waste materials with the intension of reducing cost and unavailability of conventional material. In flexible pavements the layers are the mixture of fine aggregate, coarse aggregate, filler and binder About 6.3 million metric tons of waste plastic has generated every year throughout the world. In that 9% of plastic has been recycled. using this waste plastic will increase the melting point of bitumen and marble dust helps the partial replacement of fine aggregate will helps the enhance the life of roads and also solve the environmental problems. Plastic roads would be boon for the hot & extreme climate where it will increase the durable and eco- friendly roads. The experiment portrays the use of plastic waste & marble dust comparing with and without usage in flexible pavements. Usage of waste plastic by blending with bitumen at various measurements of 1%, 1.5%, 2%, 3%, 4%, 5%, 6%, 7%, 8% by the weight of bitumen. The marble dust is partially replacement in the weight of fine aggregate with various measurements 5%, 10%, 15%, 20%, 25%, 30%, 35%, 40%. At finally plastic at 5%, marble dust at 20% is replaced during the mixing process of marshal stability test will give the better strength value. The experiments includes penetration, ductility, flash & fire point, softening point, stripping, specific gravity, water absorption test, viscosity, loss on heating, spot test, Marshall stability test.

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Fly ash aggregate is a type of artificial aggregate which is prepared by mixing of cement, Fly ash and water. Fly ash is a waste material which can be used as supplementary cementations materials to produce strengthen artificial Fly ash aggregate. Fly ash aggregate is an alternative material for natural aggregate because of scarcity of natural aggregate.

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With the wide use of vehicles there always occurs a problem for vehicle entry and parking. Time has always been a key factor in todays day to day world, in order to minimize time consumption here we introduce automated vehicle monitoring system based on RFIDs. In this project Cloud based methodology is be used and implemented to track details about parking places. The monitoring system includes an interactive application interface which provides various features Vehicle Entry, Entry data visualization, parking assistance, Admin Feature in need of emergency. Here the check-ins and check-outs is handled in a fast manner without having to stop the cars so that traffic jam problem is avoided during these processes. Vehicle owners will not have to make any payments at each check-out thus a faster traffic flow will be possible. Since there will not be any waiting during check-ins and check-outs the formation of emission gas because of such waiting will be avoided. A central parking-car tracking system is be developed and utilized. Instead of cars parking on streets, a more modern and a fast-operating parking-lot system is developed.

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Nowadays, a composite material is used as replacement of the conventional materials in Automobile industries because of high strength to light weight properties, which reduces the overall vehicle weight without compromising the strength and reliability. Composite materials with higher specific stiffness, low weight, and high damping capacity have greater torque capacity than conventional drive shaft. The advanced composite materials such as carbon and glass with epoxy resin are widely used because of their high specific strength and high specific modulus. The aim of this work is to replace the conventional asbestos brake pad of automobiles with an appropriate carbon/glass composite brake pad. Study also includes the preparation of composite brake pad for overall weight reduction, whereas the conventional asbestos brake pad has lots of issue related to environment. In this approach, optimum designed brake pad finite element model will be prepared in finite element commercial software ABAQUS. The noise, vibration and buckling analysis will be done which are very much essential for friction materials like brake pad Experiment also conducted on instrument to measure the vibration and mechanical properties of composite shaft.

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Utilizing doubly linked list rundown in inserted frameworks or embedded system can be costly. Albeit doubly connected is productive as far as time multifaceted nature and very adaptable in itself, empowering simple traversal and refresh, yet it frequently requests more memory space contrasted with other rundown information structure – this is because of the space required for the additional pointers, multiplying the sum required for a separately connected rundown. In this paper, we present the S-connected rundown – a half and half of the idea of the independently connected rundown and the round connected rundown. The half and half gives an information structure that is like the unrolled connected rundown, but instead than have a cluster in every hub, we have a separately connected rundown. An examination of the space unpredictability and asymptotic time multifaceted nature of the calculation was completed.

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As we know that, there is a rapid raise in the count of the population relocating to urban areas. Health care services is one of the most challenging features that is greatly affected by the vast inrush of people to city centres. Cities are currently adopting massive digital transformation in an effort and support to provide a healthier environment. Most of homes are being furnished with smart devices (e.g. smart meters, sensors etc.) which generate massive volumes of fine-grained and indexical data that can be analysed to support smart city services. This paper proposes a model that exploits smart home big data in order to analyse and discover the changes in energy usage in house holders behaviour for health care application to detect health problems. Here we used cluster analysis, frequent pattern and prediction process. Since peoples habits are mostly identified by everyday routines, evaluating these routines makes us to recognise abnormal activities that may indicate peoples difficulties in taking care for themselves, such as not preparing food or not using shower/bath. The human activity datasets which are generated by the smart meters are mined using the Big Data algorithms. The results of identifying human activity patterns from appliance usage are presented in details in this paper along with accuracy of short and long term predictions.

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This document implements the high-performance single-sensitive AC-DC Luo converter that improves energy quality by alleviating the problems. The proposed converter is used to control the current output voltage, power factor and low source weapons and supply. The main purpose of this work is to add four diodes named as an inverter to get high AC output in the secondary part of the circuit. The control system designed consists of two control loops, the voltage control in the outer loop and the current controller are designed in the inner loop. The diffusion controller is used for the current controller and the PI controller as a voltage controller. In MATLAB / SIMULINK platform, the proposed AC-DC Luo-Super converter is simulated. The simulation results show that it is proven that the integrated fuzzy controller for PI prefers voltage and control than the classic PI with hysteresis controllers. This system can achieve a high power output factor.

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