Electrical and Electronics

Often a huge amount of efforts are invested in ferrying old or ill people to laboratories for medical diagnosis. That also involves troubles like repeated investments and in addition a pile of reports that are often messed up. Finding a particular report is always herculean. Solutions to all these troubles is MEDICAL DIAGNOSIS CHAIR. This Medical Diagnosis Chair is almost a mini - laboratory. This can also stay connected with laboratories, doctors and family members. It eliminates the old people to the laboratories and also avoids the piling of reports. The functions of MEDICAL DIAGNOSIS CHAIR are a set sensors are used to find Blood Pressure and Heart Beat count. If there are any fluctuations in heart beat is reported and the alarm is raised and voice call is initiated. At regular intervals reports are generated and stored in local memory as well as transmitted. The hardware section includes the Arduino Galileo Gen2 board, Blood Pressure sensor, Pulse rate sensor, Capacitive touch sensor, GSM shield and memory card.

The automatic identification of the modulation type of a signal at the receiver is a major task of an intelligent receiver, such as software defined radio (SDR), which is used in different communication systems. With no knowledge of the transmitted data, recognition of the modulation type is a difficult task. A communication system, in which receiver is designed based on Machine learning is trained to detect the message using statistical parameters. In this work, machine learning algorithm is developed for identifying 6 different modulated signal types at the receiving end. MATLAB tool is used to generate different modulated signals. Identification of modulation type is done by analyzing different statistical features such as normalized PSD, kurtosis and sum-fft which are calculated using the sampled version of received signal. The algorithm is tested for different frequency and amplitude signals at the receiving end and results are tested for correctness.

As we know radium cutting through PC is readily available from that, we got the idea of our project i.e. "Low cost, thermocol cutter". In this project the microcontroller is the backbone of the hardware circuitry. All the controlling actions are done by the micro controller. A hot rod basically the soldering gun is used for cutting purpose. Here, the thermocol is not actually cut, but it is melted at a specified temperature with the help of soldering gun. So this project is used for cutting different figures and shapes as per the program of the micro controller. Optocouplers are used to provide isolation between the micro controller and the hardware circuitry. Stepper motors are used for controlling the different directions of different axis. Thickness of the thermocol will depend upon the length of the cutter and its heating capacity. Alphabets and numerical are generally cut using this project but figures of all shapes and sizes can be cut up to the limit of the work platform.

Network-on-Chip (NoC) paradigm allows designers to integrate efficiently more intellectual properties (IPs) into a single chip system. However, the power consumption has become one of the most critical issues for designing such large complex systems. Low power design can be achieved by scaling the voltage and frequency of the target components. The question is how to make the voltage-frequency scaling adaptable to the required performance of the system at run-time while reducing as much as possible the power consumption. This paper presents a novel solution for NoC architectures to reduce power consumption. As the communication traffic is not equally distributed over the network architecture, depending on the communication load, each router in the network will be applied with a corresponding voltage and frequency to minimize the power consumption while keeping necessary communication throughput.

An available gas fired diffusion-absorption heat pump 150 liter (5ft) refrigerator has been modified by substituting the original heat input by transferring solar thermal energy from solar collector to the generator. At the beginning, a pipe with 90cm height, filled with hot water (97oC) is used as a generator heat input but the Ammonia vapor does not generate because the temperature is low to allow Ammonia-Water mixture to boil. Therefore the Water is replaced by high boiling point fluid (liquid paraffin wax), boiling point 310°C), and the generator with pipe with 30cm height and 5cm in diameter. Then Ammonia vapor generates at fluid temperature of 140oC up to 190oC where the pipe near the condenser becomes hot. This mean that the Ammonia vapor generate up to the condenser. The flow rate required to supply heat input to generator, the solar collector receiver area and the volume of hot fluid storage required to operate the refrigerator for 24 hours has been calculated.

This paper presents a method for achieving line loss minimization and voltage regulation in the given power system. In order to achieve these two objectives simultaneously, the Unified Power Flow Controller (UPFC) is used. UPFC can be used for load voltage regulation and total active power loss minimization in electric power systems at the same time. In this paper, the injection model of UPFC (Unified Power Flow Controller) is used to investigate its effects on bus voltages and loss reduction in a power system.

Seeker optimization algorithm (SOA), a novel heuristic population-based search algorithm, is utilized in this paper to solve different economic dispatch (ED) problems of thermal power units. In the SOA, the act of human searching capability and understanding are exploited for the purpose of optimization. In this algorithm, the search direction is based on empirical gradient by evaluating the response to the position changes and the step length is based on uncertainty reasoning by using a simple fuzzy rule. The effectiveness of the algorithm as tested on two large-scale test power systems to solve the ED problems. The results obtained by the SOA are compared to the other different algorithms published in the recent literatures to establish its superiority.

This paper describes a hybrid design for intrusion detection that combines anomaly detection with misuse detection. The proposed method includes an ensemble feature selecting classifier and a data mining classifier. The former consists of four classifiers using different sets of features and each of them employs a machine learning algorithm named fuzzy belief k-NN classification algorithm. The latter applies data mining technique to automatically extract computer users’ normal behavior from training network traffic data. The outputs of ensemble feature selecting classifier and data mining classifier are then fused together to get the final decision. The experimental results indicate that hybrid approach effectively generates a more accurate intrusion detection model on detecting both normal usages and malicious activities.

Nowadays traffic are very high near the signals to overcome long time IR sensors are used. These IR sensors are placed near the junction it senses the heavy traffic in that signals switches to green to make move on that heavy traffic vehicles. By implementing this the wastage of time can be reduced on the roads.

In the present scenario, availability of power and water are insufficient to satisfy the farmer’s requirements. Traditionally implemented Techniques of irrigation are proving to be less futile as these are not good at multitasking different concerns which are combinations of availability of water, source of energy and timely soil profile analysis. With the merger of automation and the methods of irrigation used earlier. The scope to mitigate issues concerning water and power crisis, is huge. In this paper Internet of Things based solar powered smart irrigation system with monitoring and control features, is designed and implemented. The sensor enabled proposed model of smart irrigation system along with its Android application and ESP8266 as its main controllers. The farmland parameters can be monitored anywhere around the world with the help of IoT technology. The whole concept of this paper is implemented and then only the results are presented.