A robot is a system combining many subsystems that interact themselves well as with the environment in which the robot works. The main project task was to develop a motion transfer in robotic arm. This focus on improve the new method for motion transfer using steel wire. The controlling method is manual. The robotic system is widely used industrial area for repetitive work. Our project aims to reduce the weight of robotic arm by replacing the mechanical cable instead of hydraulic or pneumatic system. The mechanical cable is very light weight comparably hydraulic. It is also reducing the maintenance cost and it is easy to assemble and dissemble.

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Municipality makes many measures to maintain the cleanliness of the city. One of which is establishing dustbins in regular distance for the convenience of public to discard garbage. Cleaning this garbage is an important function of municipality which is directly related to health issues. Hence to make it easy for municipality as well as citizens of town a system is designed. The system mainly comprises of three modules; server, client and dustbin module. The ultrasonic sensor is used to sense the status of the dustbin, if it is full then the NODE MCU device is used to send alert message to server module about the location and the fill up status of the dustbin. The system implemented in practice will benefit to municipality and society.

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This paper presents newly developed algorithm known as black hole algorithm is used to diminish the active power loss. The black hole algorithm which is inspired by natural black hole occurrence and the black hole occurrence is related to two operations are the star addition and star sucking. The black hole in space is formed due to massive collapsing of star and gravity force of black hole is too strong. The black algorithm worn to minimize the active power loss and to recover the voltage stability. Generator bus voltage, shunt capacitor bank and transformer tap position are used as control variable. The proposed algorithm is trouble-free and effortless to implement. The recital of projected black hole algorithm has been tested on standard IEEE 30 bus system and factual time coding is encoded MATLAB programming.

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Crimping work is the most popular worldwide among all the devices of joining metals and even some non-metals. The great importance of the crimping is proper design of crimping machines, in order to increase their performance and productivity proper design is very essential. The main aim of the project is to design and develop crimping machine working condition. Crimping machine has a various parts involved such as hydraulic cylinder, hand pump, tool holing blocks, ferrule crimping component, and base plate hose and the end fitting coupling. As we know that time and human power are the important concern in the industries so there is a requirement to design and develop a crimping machine which will reduce the required human effort and make their task easy. To design and develop a crimping machine, using CAD and FEA Techniques. The crimping machine will be use to join metal hoses from hard rubber. The project involves the detailed study and getting the information from the sources available about crimping machine. On the basis of data accumulated CAD model will be developed and after that Finite Element Analyses will be performed. The conclusion will be relied on FE results.

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With the increasing popularity of the network and the rapid development of IT technology, network storage and network computing services also continuously go deep into every aspect of people's lives, changing the traditional lifestyle and work patterns. Currently, computer is still the core of our daily work life tools we use to process documents, store data, share information with others. However, when the computer cannot fix a problem, we will do nothing and eventually lose all our personal data. In the era of "cloud computing", cloud computing can do storage and computing work for us. We only need a computer with Internet access or other terminal equipment, no need to install any application, without concern for storage or calculation take place on which "cloud", a variety of applications can be achieved on the network and store large amounts of Data. Through network services to achieve everything we need, even the task of supercomputing.

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This paper proposes PV based multiple input bidirectional buck-boost DC-DC power converter to interface more than two DC sources from diverse voltage level. This find application in hybrid electric vehicles. When different sources of DC voltage of unequal voltage level need to be connected with bidirectional power flow capability. The converter can be used to operate in both buck and boost mode with Bidirectional power control. It is also workable on control the energy flow between at whatever two sources at more than two source are actively transferring the energy to possible direction. Boost converter is used to step the PV voltage with low output current ripples. The proportional integral derivative (PID) controller it provide required gate pulses to transistor switches used in bidirectional DC-DC converter. The proposed converter used for HEV application for real-time hardware in the closed loop system.

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The IoT based Smart and many function Energy Meter for Automatic Meter Reading using Arduino kit. It has provision of connecting with Central database maintained by energy provider using computing as well as Tampering detection of energy meters. Which can prevent theft detection from unregistered users saving losses due to it. Remarkable feature of this meter is Internet of Things based implementation According to the market requirements of Arduino Meter there is use for smart Arduino Meter. Nowadays the system will use Wireless system for communication protocol. The Wireless is used since the application need high speed data rate, need to be less powered with low cost. In this paper presenting the remote wireless Arduino Meter Reading System. This is to resolving the shortcomings of the technology of the traditional Arduino Meter Reading, by combining the characteristics of the Wireless technology and with Microcontroller ATMega16. The hardware implementation was designed, and then analysed the use cases for Arduino Meter. There are more chances of manual error, delay in processing, tampering of the meter and message of the Electricity by other sources. It requires so many workers, one set of workers to note down the reading and other set to cut the power if the payment is not paid at the right time.

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A Mobile Ad-hoc Network (MANET) is a mobilization of wireless mobile nodes forming an alternate network without the aid of any integrated administration or standard support services. Recently the work on quality of service has attracted more attention in ad-hoc networks. Routing is challenging task in MANETs due to the changing behaviour. Multipath routing allows load balancing to use of multiple paths for routing between a source to destination pair. Load balancing is a general technique that is applied to achieve QoS in MANETs. Multipath routing can decreasing end-to-end and increase throughput and provide quality of service in networks. It exploits the resource redundancy and diversity in the underlying network to provide benefits such as load balancing, increase throughput, and improvement in QoS metrics such as delay and packet loss. In this paper a modified DSR and AODV protocol is purposed which extend the existing DSR and AODV protocol. The proposed work is implemented in NS2 and evaluates its performance and compared with existing protocol.

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This paper focuses on the popular micro-blogging platform such as Twitter through which individuals share information about any topic across the world. They also share crisis-related information during the mass emergency through Twitter. These tweets are used for sentiment analysis. We will discuss an approach in which tweets are fetched from Twitter’s streaming API. The tweets are manually tagged according to respective sentiments i.e positive, negative or neutral. Use of available preprocessing technique in Weka proved better results. After preprocessing Naïve Bayes classifier is applied.

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