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Design Of Analog Cmos Integrated Circuits

More than a decade of research in the field of thermal, motion, vibration and electromagnetic radiation energy harvesting has yielded increasing power output and smaller embodiments. Power management circuits for rectification and DC-DC conversion are becoming able to efficiently convert the power from these energy harvesters. This paper summarizes recent energy harvesting results and their power management circuits.

Micropower energy harvesting

The theoretical study of a 3D photonic topological metacrystal based on an all-dielectric metamaterial platform shows robust propagation of surface states along 2D domain walls, making it a promising solution for photonics applications. The proposed metacrystal design might also open the way for the observation of elusive fundamental physical phenomena.

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Three-Dimensional All-Dielectric Photonic Topological Insulator

Internet of Things in arable farming: Implementation, applications, challenges and potential

Energy harvesting technology may be considered an ultimate solution to replace batteries and provide a long-term power supply for wireless sensor networks. Looking back into its research history, individual energy harvesters for the conversion of single energy sources into electricity are developed first, followed by hybrid counterparts designed for use with multiple energy sources. Very recently, the concept of a truly multisource energy harvester built from only a single piece of material as the energy conversion component is proposed. This review, from the aspect of materials and device configurations, explains in detail a wide scope to give an overview of energy harvesting research. It covers single-source devices including solar, thermal, kinetic and other types of energy harvesters, hybrid energy harvesting configurations for both single and multiple energy sources and single material, and multisource energy harvesters. It also includes the energy conversion principles of photovoltaic, electromagnetic, piezoelectric, triboelectric, electrostatic, electrostrictive, thermoelectric, pyroelectric, magnetostrictive, and dielectric devices. This is one of the most comprehensive reviews conducted to date, focusing on the entire energy harvesting research scene and providing a guide to seeking deeper and more specific research references and resources from every corner of the scientific community.

/pdf/energy-harvesting-research-the-road-from-single-source-to-czdnbdypb5.pdf

Energy Harvesting Research: The Road from Single Source to Multisource.

Plant disease detection attracts significant attention in the field of agriculture where image based disease detection plays an important role. To improve the yield of plants, it is necessary to detect the onset of diseases in plants and advice the farmers to act based on the suggestions. In this paper, a novel web enabled disease detection system (WEDDS) based on compressed sensing (CS) is proposed to detect and classify the diseases in leaves. Statistical based thresholding strategy is proposed for segmentation of the diseased leaf. CS measurements of the segmented leaf are uploaded to the cloud to reduce the storage complexity. At the monitoring site, the measurements are retrieved and the features are extracted from the reconstructed segmented image. The analysis and classification is done using support vector machine classifier. The performance of the proposed WEDDS has been evaluated in terms of accuracy and is compared with the existing techniques. The WEDDS was also evaluated experimentally using Raspberry pi 3 board. The results show that the proposed method provides an overall detection accuracy of 98.5% and classification accuracy of 98.4%.

Web Enabled Plant Disease Detection System for Agricultural Applications Using WMSN

Experimental study on structural, optoelectronic and room temperature sensing performance of Nickel doped ZnO based ethanol sensors

Energy-efficient image transmission in wireless multimedia sensor networks using block-based Compressive Sensing

Direct laser fabrication of five-band symmetric terahertz metamaterial with Fano resonance

Power management is the key issue in the design and operation of wireless network applications like sensor networks, pervasive computing and ubiquitous computing where the network is primarily driven by battery-powered embedded devices. This paper studies network coding as power minimization technique. Network coding is a new research area that may have interesting applications in practical networking systems. With network coding, intermediate nodes may send out packets that are linear combinations of previously received information. Thus network coding reduces the power consumption by minimizing the number of transmissions required to communicate a given amount of information across the network. Hence it improves the lifetime of the network when network coding is being applied. This paper explains what is network coding and the benefits of network coding. Evaluation results indicate that the proposed solution is more efficient than no-network coding solution while still meeting the required lifetime constraints.

S. Radha

Papers

Web Enabled Plant Disease Detection System for Agricultural Applications Using WMSN

Experimental study on structural, optoelectronic and room temperature sensing performance of Nickel doped ZnO based ethanol sensors

Energy-efficient image transmission in wireless multimedia sensor networks using block-based Compressive Sensing

Direct laser fabrication of five-band symmetric terahertz metamaterial with Fano resonance

Network lifetime enhancement in wireless sensor network using network coding