IoT systems base devices are considered an excellent research domain owning to its expertise and applications in wide range of areas. IoT in health care domain is gaining attention due to its better access to the doctor and paramedical staff as well as sensor based studies which results in less man to man interacting and less fault in the data. The health care provider can easily access the vitals and various other medical parameters by even staying miles away from the patient. However, large amount of data transfer over various communication mediums results in more data traffic. This data transfer will require more power which will be utilized to transfer the data. To reduce this data traffic issues, an efficient method is used in this work in which only the data that is predominantly important to be send to the health care provider is send via the communication medium. Rule based fuzzy logic tool is used in this work for an elder patient having cardiac issues. Blood sugar (After eating), Blood pressues (systolic), Blood pressure (Diastolic) and cholesterol level are taken as the parameter that are examined for the patient and the medical treatment required is calculated. The rules are set on the basis of real time data and human knowledge. The results from the fuzzy logic interference shows that the health care provider will be alarmed using communication medium only when active or emergency medical treatment of the patient is required. A comparative study between the power utilized in normal data driven method and fuzzy method shows that the fuzzy method utilize 8 times less power than the normal method. The simulated and MAMDANI model calculated values shows less than 1% error which shows the accuracy of the work in health care domain.

Nano porous anodized aluminum oxide is fabricated in acidic electrolyte using two step anodization process with varied potential and etching time. Pore diameter of the fabricated membrane increases with increasing the voltage and time of etching. The rate of pore opening of the membrane is established and optimized. Morphology of the membrane is studied by SEM micrographs and quantitative analysis is done by EDX. The pore size was in the range of 85-140 nm. Also the simulation and analysis for varied parameters is done using Fuzzy Logic Controller and it was observed that the simulated and value of pore diameter calculated using Mamdani's model are approximately equal with minute percentage error. The AAO membrane have potential applications in biotechnology.

Fuzzy logic-based control systems are widely used in various fields like home appliances, medical instruments, automobiles, textile machinery, agriculture equipment and aviation for process control and data analysis. Fuzzy logic technique has shown great potential to solve the complex problems of physical world due to similarity with human understanding. Its advancements have gained widespread attention in different research areas. In several cases, it is very suitable for electronic devices which need to be precisely self-powered. In this work, an ANSYS-based simulation, fuzzy analysis, development and testing of a microelectromechanical system (MEMS)-based energy harvester have been presented. Zinc oxide (ZnO) nano rods were synthesized on an anodic aluminum oxide (AAO) template to form the MEMS energy harvester and study the effect of energy generation by applying force. The power of 5.16 nano Watts has been obtained by taking the numerical value of voltage (Voc) and current (Isc) as 3.16 mV and 0.985 µA respectively using fuzzy logic tool. Experimental testing of the harvester shows that the range of Voc is 3–6.4 mV and Isc is 0.45–1.5 μA. The results depict that this device can be used for touch screens to generate energy that can be further utilized for charging smart devices.

This paper presents the design and simulation of MEMS based energy harvester controller. Energy harvesting from physical motion such as finger motion, heart beating, walking and running are becoming so important now-a-days. In this study outputs voltage and current of the MEMS based energy harvester can be controlled by using fuzzy logic based control system. A new way of controlling the outputs by changing the inputs has been proposed in this study. The system has been developed in MATLAB using fuzzy logic Mamdani model.Two inputs pressure and area have been selected. The three membership functions to the input parameters have been assigned. The two outputs like voltage and current are selected for output power. Three membership functions are also assigned to the outputs. The system works according to the rules defined in the fuzzy inference system (FIS). The results according to suggested rules belonging to assigned MFs have been displayed in surface viewer.Different rules of combinations were defined in MATLAB rule editor and we used AND logic for simulation. The rsults obtained from fuzzy logic controller have been verified by using Mamdani’s formula for specific values of the inputs and the outputs. As there is only 1% error for both the outputs, current and voltage, this shows that the system performs very well.

This papar presents the design, modeling and simulation of nanogenrator. Nano structure based energy genrator is used to convert the small physical motion into electrical energy such as body part motion, heart beating, vibrating parts of the factory machines walls, floors and thrilling parts of transports. In the present study, two input parameters like force and thickness and two output parameters like voltage and current have been considered and simulation was performed using the fuzzy logic technique. This approach helps to optimize the durable, accurate and efficient nano-generator. Basic Madami model of the fuzzy logic is used for calculations. The input and output parameters have been assigned three membership functions (MFs). The device works according to the instructions well-defined in the fuzzy inference system (FIS). On the basis of simulation we observed operational diagrams. Surface viewer were used to observe the curves and to analyse the results of all defined MFs. Diverse rules by making various group were defined in MATLAB rule managing editor and AND logic is adopted for simulation. Mamdani’s expression is used for the calculation of the outputs. The calculation based results and simulated results show very littile variation for fuzzy logic (FL) nanogenrator. There is present 1% error in simulated and theoretical values that shows that FL based nano-generator controller is very efficient to harvest the energy from nano structure based device.

Energy crisis is increasing day by day around the globe due to overconsumption, overpopulation, wastage of energy, poor infrastructure, and delay in commissioning of power plants, unexplored renewable energy resources and techniques. There is an urgent need to find out the new ways of energy production and utilization techniques. Here, authors present the new technique of energy harvesting with the movement of plant’s branches and leaves. Simulation and design algorithm of energy harvesting system has been presented. Electricity can be produced due to air pressure on piezo nanogenerator that can be installed on branches and leaves of plants. The effect of variation in inputs on the range of outputs has been studied. Fuzzy Logic tool in MATLAB and Mamdani’s model have been used for the simulation and calculation. Air velocity and angle have been considered as the two inputs and power has been considered as output of this energy harvesting system. Three membership functions for the inputs and output parameters have been allotted. The energy harvesting system works according to the specific defined rules. The variations of the inputs and the outputs have been displayed on the surface viewer graphs. The results obtained by fuzzy based simulation and Mamdani’s model based calculations have only 0.27% error. This shows that the proposed energy harvesting system will perform well.

Cognitive radar offers an effective and optimal way for threat evaluation of suspicious target in cognitive radar. Controller based on fuzzy logic tools has been used in this study to solve such a complex problem. Proposed system due to enormous advantages of fuzzy logic, provide optimal solution. Fuzzy Logic Controller as an adaptive control for cognitive radar is effective scheme to solve complex problem like suspicious target detection in dynamic environment. In the proposed system, Fuzzy Logic Controller was used to evaluate threat rate of suspicious target for cognitive radar. We consider Altitude, Speed and Distance as an input parameters while threat rate of suspicious target as an output parameter. The results according to suggested rules belonging assigned MFs has been displayed in surface viewer. This shows that fuzzy logic as an efficient scheme for threat evaluation of suspicious target for cognitive radar. This system has also been verified by using mamdani's formula on specific values of inputs and output. Values from simulation are very close to values taking from mamdani's formula. In this study threat rating of suspicious target has been effectively estimated.