Sri Shakthi SIET Journals
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Long Short-Term Memory Recurrent Neural Networks for Plant disease Identification
Get PDFFarming profitability is something on which economy profoundly depends. This is the one reason that sickness recognition in plants assumes a critical job in farming field, as having infection in plants are very common. In the event that legitimate consideration isn't taken here, it causes genuine consequences for plants and because of which particular item quality, amount or profitability is influenced. This paper displays an algorithm for image segmentation technique which is utilized for automatic identification and classification plant leaf infections. It additionally covers review on various classification techniques that can be utilized for plant leaf ailment discovery. As the infected regions vary in length it is difficult to develop a feature vector of identical finite length representing all the sequences. A simple method to go around this issue is given by Recurrent Neural Networks (RNN). In this work we separate a feature vector through the use of Long Short-Term Memory (LSTM) recurrent neural networks. The LSTM network recursively repeats and concentrates two limited vectors whose link yields finite length vector portrayal
UV Treatment on Inactivation of Fungal Contamination of Sri Lankan Black Pepper (Piper nigrum) seed and powder
Get PDFA study was carried out to test the efficacy of UV- C treatment to decontaminate fungal species in black pepper. After preliminary tests carried out using a UV-C drum, a canopy type UV-C sterilization unit was designed and fabricated. Black pepper seed and powder samples were given 10, 15, and 20 minutes UV- C treatments. Results showed that UV-C canopy is effective on inactivation of yeast and moulds in black pepper seeds complying the international microbiological standard requirements for spices. Improvement of UV-C Design modification have been carrying out to obtain the potential inactivation level by UV-C light for black pepper powder and improve the inactivation level of bacteria in black pepper seed and powder
Quad-band FSS for Electromagnetic Shielding
Get PDFIn this paper, a novel method to design Quad-band stop frequency selective surface (FSS) is proposed to shield medical/non-medical devices from electromagnetic radiation of wifi/Bluetooth, GPS,1G, 2G, 3G, 4G and 5G frequencies. The proposed device can also be used in security and surveillance devices to protect them from electromagnetic attack. The FSS unit cell consists of convoluted structures on FR4 substrate. The study was performed by designing individual frequency selective surfaces for 1G, 2G, Wi-Fi/Bluetooth, GPS, 4G and 5G, then combining it to form a single Quad-band FSS unit
Certain Investigation of Real power flow control of Artificial Neural Network based Matrix converter-Unified Power Flow Controller in IEEE 14 Bus system
Get PDFThe power consumption is rapid increased due to ASD (Adjustable Speed Drives) and automation in industries and large consumption of electricity in domestic regions increased the concern of the power quality. The quality of the power received in the Distribution system is altered because of the losses in the transmission system. The losses in the transmission system is mitigated using the FACTS (Flexible AC Transmission System)controller among these controllers UPFC (Unified Power Flow Controller) plays a vital role in controlling the shunt and series reactive powers in the bus of the power system. The conventional topology of the UPFC consists of AC-DC converter and energy stored in the DC link and DC-AC converter injected a voltage in series to the bus which as to be controlled. Whereas a new topology based on matrix converter can replace the dual converters and perform the required task. The construction of 2-bus, 7-bus and IEEE-14-bus power system is designed and modeled. MC-UPFC (Matrix Converter Based Unified Power Flow Controller) is designed and constructed. The MC-UPFC is the rich topology in the FACTS which is capable of controlling both the transmission parameters simultaneously with the switching technique of Direct power control by the smooth sliding control which gives less ripple in the injecting control parameters such as control voltage [Vc] and voltage angle [α]. By implementing MC-UPFC the real and reactive power can be controlled simultaneously and independently. The control techniques were designed based on the Proportional Integral derivative(PID) with sliding surface power control, FLC (Fuzzy Logic Controller) and ANN (Artificial Neural Network) and the performance of Vc and α of the controllers are investigated. Hence the sliding surface and relevant control switching state of the MC can be controlled by the FLC which gives the robust and autonomous decision making in the selection of the appropriate switching state for the effective real power control in the power system. The work has been carried out in the MATLAB Simulink simulator which gives the finest controlling features and simple design procedures and monitoring of the output
Comparative analysis of various Image compression techniques for Quasi Fractal lossless compression
Get PDFThe most important Entity to be considered in Image Compression methods are Paek to signal noise ratio and Compression ratio. These two parameters are considered to judge the quality of any Image.and they a play vital role in any Image processing applications. Biomedical domain is one of the critical areas where more image datasets are involved for analysis and biomedical image compression is very, much essential. Basically, compression techniques are classified into lossless and lossy. As the name indicates, in the lossless technique the image is compressed without any loss of data. But in the lossy, some information may loss. Here both lossy & lossless techniques for an image compression are used. In this research different compression approaches of these two categories are discussed and brain images for compression techniques are highlighted. Both lossy and lossless techniques are implemented by studying it’s advantages and disadvantages. For this research two important quality parameters i.e. CR & PSNR are calculated. Here existing techniques DCT, DFT, DWT & Fractal are implemented and introduced new techniques i.e Oscillation Concept method, BTC-SPIHT & Hybrid technique using adaptive threshold & Quasi Fractal Algorithm
Fugl Meyer Assessment for Paralytic Glove with Micro Motor Configurations to Assist Post Stroke Therapy
Get PDFToday, brain attack disorders are one of the most life-threatening areas in the medical era, which the mankind is facing nowadays. Globally, more than 10, 00,000people are subjected to brain attack disorders like hemiplegia and tremor, every year, where two-thirds of them survive. Among the survival community, more than 80 per cent of them are subjected to long-term impairment of their upper extremity. In order to treat the impairment, the survival group is subjected to medications and rehabilitation in order to improve their daily living. But the facilities are very limited in fast- developing countries like India when compared to western standards. The rehabilitation given in corresponding with medications during the treatment period in hospitals does not give a complete recovery from disability. People from rural background could not meet their rehabilitation requirements even in the hospital during treatment and also when they are discharged to home after treatment from hospitals due to financial constraints and reachability. In order to motivate the survival group to fulfill their daily living and improve their lifestyle, this paper is focused on intelligent home-based rehabilitation system at low cost, reliability, and affordability. One major movement disorder namely Upper Arm Hemiplegia was taken into account and visited few major hospitals around Coimbatore and Chennai for literature and case study. The facilities available in various hospitals and their drawbacks were analyzed. Based on the studies conducted at hospitals and taking advice from therapists, an innovative low-cost home- based rehabilitation device using Electro-Mechanical systems has been developed to support samples who were used to impaired living even after treatments. To support Upper Arm Hemiplegia patients, the devices which were developed and experimented with Fugl Meyer Assessment to analyse the improvements in different functionalities are discussed in this paper
Comparison of Fracture Delineation Methods in Anteroposterior Pelvic Radiographs
Get PDFPelvic fractures are very difficult to detect due to the visual complexity of the pelvic bone. Pelvic fracture occurs less frequently, only when there is a high energy event such as fall from a height or vehicle collision. In elder people and in osteoporosis patients even a low energy incident may cause fracture. The paper includes the comparison of three different fracture detection methods – GLCM and ANN based, Statistical curve fitting and classifier based and finally statistical curve fitting and ANN based method
Field programmable Gate Array based Real Time Object Tracking using Partial Least Square Analysis
Get PDFIn this paper, we proposed an object tracking algorithm in real time implementation of moving object tracking system using Field programmable gate array (FPGA). Object tracking is considered as a binary classification problem and one of the approaches to this problem is that to extract appropriate features from the appearance of the object based on partial least square (PLS) analysis method, which is a low dimension reduction technique in the subspace. In this method, the adaptive appearance model integrated with PLS analysis is used for continuous update of the appearance change of the target over time. For robust and efficient tracking, particle filtering is used in between every two consecutive frames of the video. This has implemented using Cadence and Virtuoso software integrated environment with MATLAB. The experimental results are performed on challenging video sequences to show the performance of the proposed tracking algorithm using FPGA in real time
Lossless Hybrid Coding technique based on Quasi Fractal & Oscillation Concept Method for Medical Image Compression
Get PDFThe Image compression is the most important entity in various fields. Image compression plays vital role in many applications. Out of which biomedical is one of the challenging applications. In medical research, everyday there is fast development and advancement. Medical researchers are thinking about digital storage of data hence medical image compression has a crucial role in hospitals. Here Morphological filter & adaptive threshold are used for refinement and used Quasi Fractal & Oscillation concept for developing new hybrid algorithm. Oscillation concept is lossy image compression technique hence applied on Non-ROI. Quasi fractal is lossless image compression technique applied on ROI. The experimental results shows that better CR with acceptable PSNR has been achieved using hybrid technique based on Morphological band pass filter and Adaptive thresholding for ROI. Here, innovative hybrid technique gives the CR 24.61 which improves a lot than hybrid method using BTC-SPIHT is 5.65. Especially PSNR is also retained and bit improved i.e. 33.51. This hybrid technique gives better quality of an image
Spray Drying of Ginger and Physical and Micro Structural Properties of Spray Dried Ginger Powder - An Advance Food Material
Get PDFThe objective of this work was to optimize the spray drying of ginger juice using maltodextrin and to investigate the effect of carrier agent on physical and micro-structural properties of spray dried ginger powder. A laborator ypilot scale spray dryer was employed for spray drying process and commercial maltodextrin was used as carrier agents. Ginger powder obtained under optimized condition of maltodxtrin concentration and 165oC inlet temperature was evaluated for moisture content, water activity, particle size distribution, bulk density, true density, porosity, wettability flowability, dispersibility, and powder morphology. Micro-structural analysis revealed powder particles of various sizes and shapes however properties were within the desired range. Spray dried ginger powder can be used as natural ginger flavouring. Optimized spray drying parameters and powder properties pave the way for testing high sticky food material and mixing of different spray dried powders by surface modification for more advance powder processing