In recent education system, project submission is crucial for college students to complete their respective studies. The understudies needed to propose their undertaking before finishing the pre-last year. One of the critical assessment forms like course Project Registration System (PRS) helps the students and their education board to enhance the knowledge and skill level required for competitive world.PRS is the efficient methods to authenticate the proposal utilizing the online digital signature recognition criteria. During project submission, authentication is important to prevent the unauthorized submission of proposal and contrast the signature utilizing classification techniques such as Kernel Based Artificial Neural Network (K-ANN), Kernel Based K-Nearest Neighbor (K-KNN), Kernel Based Self Organizing Map (K-SOM) and Kernel based Support Vector Machine (K-SVM). The prime objectives of this research work was to recognize the genuine online digital signatures from the assortment of genuine, skilled, unskilled and random types of forged signatures by using the dynamic features like pen pressure, altitude, velocity, azimuth and duration taken by the legitimate person for signing using the proposed K-SVM classification techniques. The data collection based on online digital signature with various students and the proposed classification techniques gives better performance and accuracy compared with other techniques.
Between the collections of applications allowed by the IoT, smart and linked health care may be mainly vital one. Networked sensors, either damaged on body or entrenched in atmospheres, alter the assembly of wealthy info symptomatic of our physical and psychological health. For example, heart patient parameter such as BP, heart rate and activities of fetal to regulate their health state. In this paper, a coordinator node has devoted on patient’s body to gather all the signals from the wireless sensors and directs them to base station. The involved sensors on patient’s body form a WBAN and they are talented to sense the heart rate, BP and so on. This scheme can notice the irregular conditions, problem an alarm to the patient and direct a message to the clinician, ambulance and family. The focal benefit of this scheme in assessment to earlier systems is to decrease the energy consumption to extend the network period, speed up and encompass the statement coverage to upsurge the choice for enhance patient superiority of lifetime. Here, we focus the chances and tasks for WSN in understanding this idea of longer term of health care.
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