International Journal of Computer and Applications

It is estimated that the world will need to double its energy supply by 2050. Nanotechnology has opened up new frontiers in materials science and engineering to meet this challenge by creating new materials, particularly carbon nanomaterials, for efficient energy conversion and storage. Comparing to conventional energy materials, carbon nanomaterials possess unique size-/surface-dependent (e.g., morphological, electrical, optical, and mechanical) properties useful for enhancing the energy-conversion and storage performances. During the past 25 years or so, therefore, considerable efforts have been made to utilize the unique properties of carbon nanomaterials, including fullerenes, carbon nanotubes, and graphene, as energy materials, and tremendous progress has been achieved in developing high-performance energy conversion (e.g., solar cells and fuel cells) and storage (e.g., supercapacitors and batteries) devices. This article reviews progress in the research and development of carbon nanomaterials during the past twenty years or so for advanced energy conversion and storage, along with some discussions on challenges and perspectives in this exciting field.

Carbon Nanomaterials for Advanced Energy Conversion and Storage

Due to the current structure of digital factory, it is necessary to build the smart factory to upgrade the manufacturing industry. Smart factory adopts the combination of physical technology and cyber technology and deeply integrates previously independent discrete systems making the involved technologies more complex and precise than they are now. In this paper, a hierarchical architecture of the smart factory was proposed first, and then the key technologies were analyzed from the aspects of the physical resource layer, the network layer, and the data application layer. In addition, we discussed the major issues and potential solutions to key emerging technologies, such as Internet of Things (IoT), big data, and cloud computing, which are embedded in the manufacturing process. Finally, a candy packing line was used to verify the key technologies of smart factory, which showed that the overall equipment effectiveness of the equipment is significantly improved.

Smart Factory of Industry 4.0: Key Technologies, Application Case, and Challenges

Analysis and comparison of different PV array configurations under partial shading conditions

Dominance square based array reconfiguration scheme for power loss reduction in solar PhotoVoltaic (PV) systems

Fingerprint reader is an emerging technology, increasing at a tremendous rate due to its function that allows the fast identification and secure verification capabilities. This technology enables to recognize individual users without need of any password and the card swipes and works in a different ways rather than the swipe cards and other identification technologies. By using this technology, we can recognize and authenticate individuals based on the who they are, instead of the what they know, like their password and pins and what they possess, like keys and swipe cards. Fingerprint technology having important role with security application and e-commerce due to their ability of identifying and providing access to user through finger. This technology can be implemented in the various areas like Voters Identification, Passport verification, Population Census, Driver’s license, and Professional ID and there data can be placed on cloud by using Internet of Things (IoT). If cloud-based technology incorporated with fingerprint identification and is properly used, then it has potential to create a highly secured verification environment. In this research, we have done extensive literature survey for future research areas in this field.

Fingerprint Acquisition Methodologies and Its Upgradation with IoT

Usage of wireless sensor networks has become inevitable in the field of international border monitoring and zone surveillance. This application of sensors requires a barrier of sensors along the border to be monitored. The more the number of barriers, the better the monitoring system. Usage of a number of sensor nodes (SNs) in a specific configuration leads to the formation of a specific number of barriers. The challenge here is to develop a deployment algorithm, which provides the maximum number of barriers with the minimum number of SN relocation. Wireless Sensor Networks are used in hazardous environments and are preferred to be aerially deployed. In this paper, various methods of Mobile Sensor deployment methods are discussed along with their pros and cons. A comparative study is done based on many factors such as relocation distance, obstacle avoidance, scalability, etc.

Mobile Sensors Deployment Methods: A Review

Air quality monitoring is a vital mechanism for continuously monitoring the quality of air in the environment. Generally, landfilling sites are filled with mixed waste of various materials, this mixed waste generates stinky gases. Robots are the solution for monitoring the air quality of landfilling sites. In this study, we are proposing an IoT and cloud server enabled mobile robot for monitoring the air quality at the landfill sites. LoRa radio-based sensor nodes are embedding with distinct gas sensors for sensing in landfill sites and transmitting to the mobile robot. A mobile robot is an integration of LoRa radio and GPRS communication, it transmits the sensory data to the cloud server via internet protocol. The sensory data of different gases in the landfilling sites are recorded in the cloud server and also a graphical representation of the sensory data is discussed briefly.

Mobile robot for air quality monitoring of landfilling sites using Internet of Things

Currently, due to the widespread population growth, there is a widespread concern about an electricity shortage. As a result, smart devices have evolved and gained significant attention to reduce power consumption in home appliances due to electricity shortages. However, it lacks a universal remote control that can control home appliances based on environmental conditions. To overcome these challenges, this study proposed a hardware-based remote-control system that operates both in autonomous and semiautonomous modes to control home appliances based on environmental conditions. In the autonomous mode, the receiver section regulates the parameters under ambient conditions by varying the appliance’s applied voltage levels via a dimmer. The parameters in semiautonomous are monitored by the user via various levels of remote control. A 2.4 GHz RF modem is used to establish wireless personal network (WPAN) communication between the remote and the receiver. In addition, a Wi-Fi modem is built into the receiver to enable internet-based mobile applications to operate appliances. During the MATLAB analysis, a proportional integral derivative (PID) controller with a particle swarm optimization (PSO) method was found as a superior approach to control the home appliance with adequate environmental conditions. It is concluded from the MATLAB study that the PSO-PID controller delivered an energy saving of 14.88% for the heater, 36.9% for the exhaust fan, and 37.49% for the light bulb compared to the conventional appliances.

Internet of Things Enabled Intelligent Automation for Smart Home with the Integration of PSO Algorithm and PID Controller

It is a common saying that science is just a philosophy without precise engineering. Available monitoring systems for real-time monitoring of space, goods, or life stocks are either too complex or too costly for the majority of the population to operate so users have to revert back to visual inspection, which results in increased human effort. The proposed model works on internet of things-based technology for more accurate and secure real-time-based monitoring made accessible to the general public. Each node primarily contains an entire network of electronic sensors to measure the environmental parameter. Due to its compact size, this device is capable of deployment over remote areas. Older modules were mostly manual and could only be engaged for a singular task, but the proposed network of nodes is fully customizable and with minor changes can be used for a task that is entirely different from the other.

Sushabhan Choudhury

Papers

Fingerprint Acquisition Methodologies and Its Upgradation with IoT

Mobile Sensors Deployment Methods: A Review

Mobile robot for air quality monitoring of landfilling sites using Internet of Things

Internet of Things Enabled Intelligent Automation for Smart Home with the Integration of PSO Algorithm and PID Controller

Customizable Multipurpose Nodes Based on Internet of Things for Various Applications