International Journal of Innovative Technology and Exploring Engineering

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EISSN : 2278-3075
Total articles ≅ 11,045
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T Sudarshan Rao, N Rohan Sai, D Koteswara Rao
International Journal of Innovative Technology and Exploring Engineering, Volume 10, pp 76-79; https://doi.org/10.35940/ijitee.l9574.10101221

Abstract:
Modern-day computation has become indispensable in the healthcare industry. From medical image processing to cost reduction, Artificial Intelligence has proved its significance in solving complex healthcare problems. One of the primary areas in which it can be of greater use in hematology. Categorization of white-blood cells is imperative to pre-identify abnormalities. Through this paper, we collected image samples for 4 major White Blood cell groups, which are Neutrophils, Lymphocytes, Monocytes, and Eosinophils. The aim of this research is to put forward an intelligent system that efficiently alleviates the stringent requirement of a cytological study. The proposed system classifies 4 white-blood-cell types based on their morphological variation. With the experimental modulations that we chose to integrate, the presented model attained an accuracy of 97%.
Muppla Jagadeesh, P Ajay Kumar Reddy, S.Nanda Kishor
International Journal of Innovative Technology and Exploring Engineering, Volume 10, pp 64-68; https://doi.org/10.35940/ijitee.k9463.10101221

Abstract:
Resolving the problems of individuals with Visual, Hearing, and Vocal Impairment through a solitary serving framework could be a tough task. Various current investigations focus on the resolution of the problems of 1 of them on top of challenges however not all. The work centers around chase down a noteworthy procedure that guides the externally weakened by permitting them to listen to what's self-addressed as text and it's accomplished by the tactic that catches the image through a camera and converts the content accessible as voice signals. This planned framework provides a path to people with Hearing weakening to image scan that is in morphology by discourse to message modification procedure and that we, in addition, provides a route to the vocally disabled to handle their voice by the guide of text to voice transformation strategy. each one of those 3 arrangements was regulated to be in an exceedingly solitary exceptional framework. each one of those exercises consists of the employment of Raspberry Pi. The outwardly barred individual's unit of measurement is helped by the cycle whereby the image to text and text to discourse is given by the Tesseract OCR (online character acknowledgment). The deaf individuals assist with the cycle of associate application that creates them grasp what the individual says is also shown attributable to the message. Vocally hindered individuals can pass on their message by text. Therefore totally different individuals will hear the message in an exceeding speaker.
Hema R. Parmar, Pradeep Majumdar
International Journal of Innovative Technology and Exploring Engineering, Volume 10, pp 47-57; https://doi.org/10.35940/ijitee.l9550.10101221

Abstract:
Surface water flow and subsurface flow have traditionally been investigated separately and simulators have been developed over the years, to model each of these systems. Growing interest in conjunctive water management, and need for simulations of surface/subsurface flow and their interactions has lead to the linking of models of the respective domains. This study from Dharoi command area, using MODFLOW, showed pertaining to the second layer of the calibrated model. The first layer is a thin soil cover layer of about 3 m uniform thickness. Top layer is kept under unconfined water table condition, where as the next layer is given the scope of transforming between water table to confined state and vice versa depending upon the fluctuation of the computed water level with respect to the bottom boundary of the top layer. No recharge and discharge options other than a single boundary condition of average May water level in the extreme north-east grid has been allowed. This calibration is based upon matching the observed and computed average gradient of the water table (hydraulic gradient) and nothing to do with matching the point to point values of the observation wells as that could lead to misappropriation in respect of hydrologic condition. Over all gradient of the water table in the area of interest is computed as 0.23 m per km in comparison to an observed hydraulic gradient of 0.3 m per km. The rivers such as Sabarmati downstream of Dharoi dam and up to Bijapur, Rupen and Pushpawati are activated in the transient run. Conductance value is considered as 0.0001 m/sec for all the rivers. proximity of the second layer under unconfined state. Comparisons of water levels in selected locations. Overall match between the trends and the point values indicate that the calibrated model transient run can be considered as base case and various options can be studied with this model. Visual MODFLOW is very effective to know the present scenario of ground water flow, water level of aquifer, wells, also point values indicate that the calibrated model transient run can be considered as base case and various options can be studied with this model. Visual MODFLOW is very effective to know the present scenario of ground water flow, water level of aquifer, wells, also distribution of spatial recharge, specific yield distribution. It gives very close result to the observed value.
Shrugal Varde, M.S. Panse
International Journal of Innovative Technology and Exploring Engineering, Volume 10, pp 41-46; https://doi.org/10.35940/ijitee.j9431.10101221

Abstract:
Electronic mobility aid, transforms visual information to another sensory modality, has proved to be useful for visually impaired people to commute confidently and independently. With recent developments in technology, more visual information can be provided that can assist the user in the better way to avoid obstacles. The paper is focused on portable mobility aid prototype based on stereo imaging that can help user avoid collision with the obstacles. The algorithm is based on segmentation of disparity image to detect obstacles in each segment and identify probable path free of obstacles. The information about the free path is conveyed to the user with the help of two vibrotactile sensors. The prototype was tried on visually impaired users. The experiments were conducted in terms of detection of obstacles, avoidance of obstacles and walking speed of visually impaired user in closed area with different number of obstacles. We conclude that mobility aid prototype is potentially effective for visually impaired users.
K. Srinivasan, A. Manikandan, S. Manjupriya
International Journal of Innovative Technology and Exploring Engineering, Volume 10, pp 13-15; https://doi.org/10.35940/ijitee.d1131.10101221

Abstract:
Glass waste & Egg Shell Powder cannot be processed for useful applications and may end up in a landfill. In India nearly 30 tonnes of Glass waste in every metropolitan city generated every year. This establishes the ecological problem and is measured an additional problem on the previouslyclose-fitting landfill space.This article studies the possibility of using post-consumer Glass Waste Powder and Egg Shell in Powder form as a fractional substitute for conservative cement on concrete. During manufacturing of cement it emits a huge carbon di oxide and cause various effect to atmosphere. In this project tried to minimize the usage of cement by partial replacement of waste material from general utilities. Here I replaced cement by partial as glass powder and egg shell powder with a percentage of 0 %, 20%, 30%, and 40% and for its compressive strength up to 7, 14 and 28 Ages evaluate the strength properties. Comparison result has obtained by cube test & split tensile test. Since now a day’s the developing and developed countries are facing lack of post consumer dumping site and it has become extremely serious difficulty. This waste product should convert resource of by-product to control environmental pollutions.
International Journal of Innovative Technology and Exploring Engineering, Volume 10, pp 69-75; https://doi.org/10.35940/ijitee.l9566.10101221

Abstract:
Person re-identification (Re-id) is one of the important tools of video surveillance systems, which aims to recognize an individual across the multiple disjoint sensors of a camera network. Despite the recent advances on RGB camera-based person re-identification methods under normal lighting conditions, Re-id researchers fail to take advantages of modern RGB-D sensor-based additional information (e.g. depth and skeleton information). When traditional RGB-based cameras fail to capture the video under poor illumination conditions, RGB-D sensor-based additional information can be advantageous to tackle these constraints. This work takes depth images and skeleton joint points as additional information along with RGB appearance cues and proposes a person re-identification method. We combine 4-channel RGB-D image features with skeleton information using score-level fusion strategy in dissimilarity space to increase re-identification accuracy. Moreover, our propose method overcomes the illumination problem because we use illumination invariant depth image and skeleton information. We carried out rigorous experiments on two publicly available RGBD-ID re-identification datasets and proved the use of combined features of 4-channel RGB-D images and skeleton information boost up the rank 1 recognition accuracy.
Lucky Sikhwivhilu, Head And Director Of Dst/mintek Nanotechnology Innovation Centre, Venkataraman Vishwanathan
International Journal of Innovative Technology and Exploring Engineering, Volume 10, pp 24-27; https://doi.org/10.35940/ijitee.l9549.10101221

Abstract:
Titanate Nanotubes (TNT) were synthesized by aging commercial titanium dioxide (TiO2 - Degussa P25) with an alkali (KOH) solution at different time intervals. The prepared materials were investigated for their surface composition and textural behaviour by X-ray powder diffraction (XRD), Raman spectroscopy, Gas (N2 and CO2) adsorption measurements, and Transmission electron microscopy (TEM). The X-ray diffraction spectra revealed the decrease in the crystalline nature of the materials decreased by exposing them for a longer duration in the base solution. Raman spectra results showed that ageing time affected the structural properties. The specific surface area and the pore size of the newly synthesised materials were affected by the ageing process. The TEM images showed the influence of ageing during the formation of titanate nanotubes. HRTEM revealed that Pd particle sizes of <1 nm was present inside the tubes.
Nikhil Nayak, Rujula Singh R
International Journal of Innovative Technology and Exploring Engineering, Volume 10, pp 36-40; https://doi.org/10.35940/ijitee.l9555.10101221

Abstract:
In today’s day and age, a mobile phone has become a basic requirement needed for anyone to thrive. With the cellular traffic demand increasing so dramatically, it is now necessary to accurately predict the user traffic in cellular networks, to improve the performance in terms of resource allocation and utilization. Since traffic learning and prediction is a classical and appealing field, which still yields many meaningful results, there has been an increasing interest in leveraging Machine Learning tools to analyze the total traffic served in each region, to optimize the operation of the network. With the help of this project, we seek to exploit the traffic history by using it to predict the nature and occurrence of future traffic. Furthermore, we classify the traffic into application types, to increase our understanding of the nature of the traffic. By leveraging the power of machine learning and identifying its usefulness in the field of cellular networks we try to achieve three main objectives - classification of the application generating the traffic, prediction of packet arrival intensity and burst occurrence. The design of the prediction and classification system is done using Long Short Term Memory (LSTM) model. The LSTM predictor developed in this experiment would return the number of uplink packets and estimate the probability of burst occurrence in the specified future time interval. For the purpose of classification, the regression layer in our LSTM prediction model is replaced by a SoftMax classifier which is used to classify the application generating the cellular traffic into one of the four applications including surfing, video calling, voice calling, and video streaming.
Kirit V. Patel, Mihir V. Shah
International Journal of Innovative Technology and Exploring Engineering, Volume 10, pp 28-35; https://doi.org/10.35940/ijitee.f8701.10101221

Abstract:
Elliptic Curve Cryptography is gaining attraction in providing a high security level in data transmission with low cost, small key size and smaller hardware realization. High-speed implementation is a significant factor in ECC applications such as smart cards, network servers, wireless sensor based networks, Internet of Things and Radio Frequency Identification. These applications require low-cost and lightweight implementations. In the resource constrain application, lightweight cryptography has emerged as the desired one because of limited energy in devices and the scarce computational resources. Design options and a wide range of parameters affect the overall implementation of the ECC system. Implementation target device, coordinate system, underlying finite fields and modular arithmetic algorithms are key design parameters that impact the overall implementation outcome. A statistical study is conducted on a large collection of published work based on the design parameters. The basic question that arises is how to select the appropriate flexibility-efficiency tradeoff. The subjects of generator, versatile, reconfigurable, dedicated and general purpose scalar multipliers are addressed. A review of various algorithms to perform scalar multiplication on prime and binary fields has been done more effectively. The results of ECC implementation on different FPGA platform is compared and analyzed with the various performance parameters. Besides, a classification of the previous works in terms of flexibility, performance, scalability and cost effectiveness is presented.
International Journal of Innovative Technology and Exploring Engineering, Volume 10, pp 7-12; https://doi.org/10.35940/ijitee.l9524.10101221

Abstract:
Many different models of Convolution Neural Networks exist in the Deep Learning studies. The application and prudence of the algorithms is known only when they are implemented with strong datasets. The histopathological images of breast cancer are considered as to have much number of haphazard structures and textures. Dealing with such images is a challenging issue in deep learning. Working on wet labs and in coherence to the results many research have blogged with novel annotations in the research. In this paper, we are presenting a model that can work efficiently on the raw images with different resolutions and alleviating with the problems of the presence of the structures and textures. The proposed model achieves considerably good results useful for decision making in cancer diagnosis.
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