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Electronic technology plays a vital role in healthcare, not only for sensory equipment but also for communication and recording. As a result, the Internet of Things (IoT) is the most recent communication breakthrough in healthcare. In this work, we present a system that tracks patient health using a Blynk application, a micro-controller as a communication gateway, and sensors. When the output of the detector changes, a buzzer is embedded into the controller to alert the nursing staff. The sensor connects to a micro-controller, which is then interfaced with the liquid-crystal display (LCD) panel and wireless local area network (LAN) to provide notifications. An alert will be sent to the doctor through IoT if the system detects a change in the patient’s pulse rate or blood pressure, and the patient’s heartbeat, blood pressure, and body temperature will be displayed in real-time via Cloud. As a result, an IoT-based patient health monitoring system could save lives by efficiently monitoring patients’ health in real- time.

Wireless Sensor Networks (WSNs), are selfconfigured and infrastructure less networks which are made of small devices with dedicated sensors and wireless transceivers. The objectives of a WSN are to collect data from the environment and transmit to a coverage site where the data can be observed and analyzed. The advantage of using the sensor devices to monitor the environment is that it does not require infrastructure such as electric mains for power supply and wired lines for Internet connections to collect data and do not require human communication while deploying. Major threat to Coffee plantation is a pest known as Coffee White Stem Borer (CWSB) which is the most serious pest of Coffea Arabica. Coffee production can be enhanced if we devise a mechanism to detect the pest at its inception stage using automated detection system designed with WSN. Data aggregation in WSN for pest identification significantly reduces the redundancy of data and helps to trace the pest accurately.In this paper, we propose Redundancy Aware Data Aggregation (RADA) for CWSB pest identification in the Coffea Arabica plants. The presence of pests is identified by using the Ultrasonic mechanism in sensor nodes that helps us to eliminate redundant information from multiple nodes at the Cluster Head (CH). This scheme successively conglomerates the characteristics designed for CWSB identification and initiates the rescue mechanism from the user end. Simulation analysis is done based on the aggregation ratio and control overhead at the CH.

A hydraulic press is a machine using a hydraulic cylinder to generate a compressive force. Frame, hydraulic cylinder and press table are the main components of the hydraulic press. In this project press frame, cylinder and press table are designed by the design procedure. They are analyzed to improve their performance and quality for press working operation. Using the optimum resources possible in designing the hydraulic press components can effect reduction in the cost by optimizing the weight of material utilized for building the structure. An attempt has been made in this direction to reduce the volume of material. So in this paper we consider an industrial application project consisting of mass minimization of H frame type hydraulic press. This press has to compensate the forces acting on the working plates and has to fulfill certain critical constraints. Here we use implementation for analysis and optimization of hydraulic press. The aim of this paper is to integrate the mechanical system of hydraulic press with hydraulic system to facilitate the ease of operation to manufacture the smaller parts in a bulk. In the present scenario, time constrain is a crucial part for completion of any production process. Thus with the aid of automization, the production time can be reduced as well as higher degree of accuracy can be achieved as the human efforts will be alleviated. Thus an attempt has been made to provide the smooth and rapid functioning of press work with the help of hydraulic system.