DSpace Collection:

Plant Leaf Disease Detection and Soil Condition Monitoring System Using CNN and IoT

2022-05-23T10:38:06Z

Title: Plant Leaf Disease Detection and Soil Condition Monitoring System Using CNN and IoT Authors: Kaushik N; Nikhil K G; Sulagna Sarkar; Natya.S Abstract: This paper talked about framework utilizing Convolution Neural Network (CNN) and IoT together to help farmers to monitor the crop growth and increase yield using the three main objectives listed. The first objective is helping farmer to select a crop by analyzing the soil of the given land, using algorithm designed that displays the properties of the particular soil and lists different crops for that soil type. The second objective is to detect and prevent plant disease from spreading and spoiling the yield, the algorithm designed displays whether the plant is healthy or unhealthy if unhealthy what type of disease it is so that farmer can take preventive measures on time by spaying pesticides. The third objective helps the farmer in predicting irrigation needs by monitoring soil temperature and soil moisture.

Microfluidic viscometers for biochemical and biomedical applications: A review

2022-05-23T10:38:06Z

Title: Microfluidic viscometers for biochemical and biomedical applications: A review Authors: Dr. Puneeth S B; Madhusudan B Kulkarni; Sanket Goel Abstract: In recent times, microviscometers have been exploited for widespread and diverse detection applications such as sensing adulteration in various fluids used in day-to-day life, diagnostics in the biomedical domain involving human bodily fluids, pharmaceuticals, and biochemical analysis. The microviscometers have the proven capability for being employed as point-of-care devices, which can be achieved by automating them by integrating various microelectronic components, such as integrated circuits, and sensors, on printed circuit boards. In the past few decades, several fabrication techniques have been reported to measure relative viscosity in the microfluidic domain. Moreover, considerable innovation in this direction has observed a lot of improvements and advancements leading to the reduction of cost, and size. Also, the microfluidic viscometer provides simple and rapid detection which makes them more flexible and versatile in the biomedical domain. The microfluidic device unveils numerous features such as easy-to-use, portable, transparency in operation, and rapid detection with a marginal reaction volume. In this review, the development of various microfluidic-based viscometers and their applications, primarily in biomedical applications, have been discussed. Using the state-of-art approach, such microviscometers can be manufactured on a commercial scale for point-of-care diagnosis. This review summarizes the limitations in conventional viscometers and value-chain, comprising designs, fabrication techniques, and other related methodologies, to develop the microviscometers that have been presented. It has been observed that the interest in microfluidic-based viscometers has incredible applications for regular monitoring and personalized point-of-care devices in a controlled and selective manner.

Handheld and ‘Turnkey’3D printed paper-microfluidic viscometer with on-board microcontroller for smartphone based biosensing applications

2022-05-23T10:38:06Z

Title: Handheld and ‘Turnkey’3D printed paper-microfluidic viscometer with on-board microcontroller for smartphone based biosensing applications Authors: S.B.Puneeth; Sanket Goel Abstract: Herein, Microfluidic Paper-based Analytical Devices (μPAD) strips, also called microstrips, have been fabricated using a fused-deposition modeling (FDM) based 3D printer. A polycaprolactone (PCL) filament on a chromatography paper was harnessed to create hydrophobic boundaries of a microchannel. A pair of screen-printed electrodes, with known separation, were integrated on the microchannel to measure the time taken for fluid automatically. A mini electronic sub-system, amenable to connect with an android smartphone, consists of an easily programmable microcontroller, Bluetooth module and voltage booster circuit. The pluggable-and-playable disposable microstrip was utilized to measure the viscosity of various biological samples with an accuracy of >92% with respect to a benchtop viscometer. In particular, the protein denaturation of Bovine Serum Albumin (BSA) and Lysozyme, and viscosity variation of human saliva have been observed. With a competency to measure the viscosity between 0.5 cP to 10 cP, platform cost of

Contemporary PCA and NBA based Hybrid Cloud Intrusion Detection System

2022-05-23T10:38:06Z

Title: Contemporary PCA and NBA based Hybrid Cloud Intrusion Detection System Authors: G. MuthuPandi Abstract: INTRODUCTION: Cloud computing offers on-demand services, from which consumers can avail networked storage and computer resources. Due to the fact that cloud is accessed through internet, its data are prone to internal and external intrusions. Cloud Intrusion Detection System will now be able to classify each pattern of testing dataset as either normal or intrusive and in case of intrusion, it will identify the type of intrusion. By comparing each of these actual results with the expected results of testing dataset. It is strongly observing the inside-activities of a network. Hence, it is suitable for detecting intrusions in cloud environment. OBJECTIVES: Hybrid Cloud Intrusion Detection System can function well for a very huge dataset and it can also detect unknown attacks. To achieve the better performance in the cloud setting by utilizing this Cloud Intrusion Detection System. METHODS: To overcome performance issues, Principal Component Analysis and Network Behaviour Analysis are proposed. RESULTS: The experimental and performance assessment show that the proposed model is well planned, efficient and effective in finding cloud environment intrusions. An Intrusion Detection System (IDS) monitors all incoming and outgoing network activity to identifies any signs of intrusion in your system that could compromise your systems. CONCLUSION: Experiments are performed using a standard benchmark KDD-cup dataset and the findings are addressed. IDS helps the Network Administrator to track down bad guys on the Internet whose very purpose is to bring your network to a breach point and make it vulnerable to attacks.