Internet of Things is a promising technology that has wasted no time spreading across the world and connecting the huge number of individuals with the devices around them. The proposed work aims to develop a smart laboratory system in CIT campus based on IoT and mobile application technologies that operates in an intelligent manner. This provides a platform that allows devices to be connected, sensed and controlled remotely across a network infrastructure. The IoT lab is implemented by embedding the electrical appliances such as lights, air-conditioners, fans and projectors in the laboratory with sensors and network connectivity. These software enabled physical objects collect and exchange the real time data. Devices in the laboratory are connected to IoT smart hardware kit and communicate through an MQTT protocol which is a messaging protocol for machine-to-machine communication. IoT smart hardware kits are designed using ESP8266, Arduino UNO, relays and current transformers. All ESP8266s act as MQTT clients and an online server acts as an MQTT broker. The proposed work mainly intents to provide an easy accessibility of the electrical appliances through an Android application and a user interactive dashboard developed in Node-RED. Along with the status and energy consumption of individual devices, temperature & humidity status of the laboratory can also be monitored using sensors and viewed in dashboard and mobile application. From the results of implementation, it is observed that the appliances in our lab are remotely monitored and controlled, thereby reducing their energy consumption considerably.
In the digital era, cloud computing plays a significant role in scalable resource sharing to carry out seamless computing and information sharing. Securing the data, resources, applications and infrastructure of the cloud is a challenging task among the researchers. To secure the cloud, cloud security controls are deployed in the cloud computing environment. The cloud security controls are roughly classified as deterrent controls, preventive controls, detective controls and corrective controls. Among these, detective controls are significantly contributing for cloud security by detecting the possible intrusions to prevent the cloud environment from the possible attacks. This detective control mechanism is established using intrusion detection system (IDS). The detecting accuracy of the IDS greatly depends on the network traffic data that is employed to develop the IDS using machine-learning algorithm. Hence, this paper proposed a cuckoo optimisation-based method to preprocess the network traffic data for improving the detection accuracy of the IDS for cloud security. The performance of the proposed algorithm is compared with the existing algorithms, and it is identified that the proposed algorithm performs better than the other algorithms compared.
The present work is to use petroleum coke as a carbon material for energy storage application. Activated petroleum coke (APC) is prepared using potassium hydroxide as an activation agent. Then the APC is doped with nitrogen and manganese-nitrogen components to enhance the capacitance of the material. The X-ray diffraction result shows the turbo static behavior, which is fully disordered structure. The Fourier transform infrared spectroscopy shows the functional groups present in the prepared sample. Using the cyclic voltametry, the specific capacitances are found to be 3.2, 4.8, and 6.3 F/g for APC, nitrogendoped activated petroleum coke (N-APC), and manganese-and nitrogen-doped activated petroleum coke (Mn/N-APC), respectively. The specific capacitance of charge and discharge are also found to be 3.5, 5.2, and 10.3 F/g, respectively, for the above-prepared materials. The specific capacitance of the fabricated Mn/N-APC electrode was found to be 76.1 F/g. From the experimental results, the energy density and power density was found to be 105 and 131.2 Wh/kg, respectively, for the abovementioned material. It is concluded from the present experiment that Mn/N-APC shows good electrochemical properties. Hence, this can be used as a supercapacitor for energy storage applications.
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