16 research outputs found
Design of an Autonomous Agriculture Robot for Real Time Weed Detection using CNN
Agriculture has always remained an integral part of the world. As the human
population keeps on rising, the demand for food also increases, and so is the
dependency on the agriculture industry. But in today's scenario, because of low
yield, less rainfall, etc., a dearth of manpower is created in this
agricultural sector, and people are moving to live in the cities, and villages
are becoming more and more urbanized. On the other hand, the field of robotics
has seen tremendous development in the past few years. The concepts like Deep
Learning (DL), Artificial Intelligence (AI), and Machine Learning (ML) are
being incorporated with robotics to create autonomous systems for various
sectors like automotive, agriculture, assembly line management, etc. Deploying
such autonomous systems in the agricultural sector help in many aspects like
reducing manpower, better yield, and nutritional quality of crops. So, in this
paper, the system design of an autonomous agricultural robot which primarily
focuses on weed detection is described. A modified deep-learning model for the
purpose of weed detection is also proposed. The primary objective of this robot
is the detection of weed on a real-time basis without any human involvement,
but it can also be extended to design robots in various other applications
involved in farming like weed removal, plowing, harvesting, etc., in turn
making the farming industry more efficient. Source code and other details can
be found at https://github.com/Dhruv2012/Autonomous-Farm-RobotComment: Published at the AVES 2021 conference. Source code and other details
can be found at https://github.com/Dhruv2012/Autonomous-Farm-Robo
Electronic Toll Collection (ETC) System Using Wi-Fi Technology
A toll system is one in which a fee (or toll) is assessed for passage of a vehicle from the tollway. In the existing toll tax system, we observe limitations like mismanagement of time, long queue for the payment of toll tax, the payment in cash. Our aim in this paper is user need to pay toll electronically. Wi-Fi toll collection stations allow the traffic to flow continuously, and vehicle being stopping and starting again. This, in combination with reduced fuel consumption has positive effect on environment. By introducing the Wi-Fi technology, we can make this system automatic and easier. The Android phone need to be included in each vehicle and the details of the vehicle owner must be stored in the database of toll tax system. Wi-Fi technology will leverage the existing payment systems used in ETC and will influence the future of toll collection modes in India.
DOI: 10.17762/ijritcc2321-8169.16046
Machine Vision Using Cellphone Camera: A Comparison of deep networks for classifying three challenging denominations of Indian Coins
Indian currency coins come in a variety of denominations. Off all the
varieties Rs.1, RS.2, and Rs.5 have similar diameters. Majority of the coin
styles in market circulation for denominations of Rs.1 and Rs.2 coins are
nearly the same except for numerals on its reverse side. If a coin is resting
on its obverse side, the correct denomination is not distinguishable by humans.
Therefore, it was hypothesized that a digital image of a coin resting on its
either size could be classified into its correct denomination by training a
deep neural network model. The digital images were generated by using cheap
cell phone cameras. To find the most suitable deep neural network architecture,
four were selected based on the preliminary analysis carried out for
comparison. The results confirm that two of the four deep neural network models
can classify the correct denomination from either side of a coin with an
accuracy of 97%.Comment: 6 Pages, 4 Figures, 6 Tables, Conference pape
A case report on generalized pemphigus vulgaris treated with rituximaba
Background: Pemphigus vulgaris has an obscure etiology; the presence of autoantibodies is coherent with an autoimmune disease. Rituximab a monoclonal antibody that specifically targets the CD20 antigen of B lymphocytes, has arisen as a novel treatment approach for pemphigus vulgaris.
Case presentation: A 39-year-old male patient presented with a three-month history of mouth ulcers, poor oral hygiene accompanied with heavy tobacco smoking and alcohol consumption. He was diagnosed with pemphigus vulgaris. The disease gradually progressed to involve other body parts. The patient had shown partial improvement after conventional therapy (oral cefuroxime, oral prednisolone with azathioprine) and was later on successfully treated with rituximab. After 90 days of follow-up, no future recurrence was observed.
Conclusion: With this case, the authors would like to aware other clinicians of the potential use of rituximab in treating pemphigus vulgaris, especially when the conventional therapy fails
Job creation for youth in Africa : assessing the potential of industries without smokestacks
There is emerging evidence that some industries, including tourism, agro-industry, horticulture, transport, and information technology-enabled services are generating opportunities for job creation and more rapid structural transformation in Africa. This paper assesses the job creation potential of these “industries without smokestacks” (IWOSS) by estimating employment-to-output elasticities. Both transport and telecom (T-T) and tourism have employment elasticities similar to manufacturing and near the ideal 0.7 identified in the literature, suggesting that growth in the sector could enhance productivity and generate employment
Micromagnet arrays for on-chip focusing, switching, and separation of superparamagnetic beads and single cells
Nonlinear magnetophoresis (NLM) is a powerful approach for on-chip transport and separation of superparamagnetic (SPM) beads, based on a travelling magnetic field wave generated by the combination of a micromagnet array (MMA) and an applied rotating magnetic field. Here, we present two novel MMA designs that allow SPM beads to be focused, sorted, and separated on-chip. Converging MMAs were used to rapidly collect the SPM beads from a large region of the chip and focus them into synchronized lines. We characterise the collection efficiency of the devices and demonstrate that they can facilitate on-chip analysis of populations of SPM beads using a single-point optical detector. The diverging MMAs were used to control the transport of the beads and to separate them based on their size. The separation efficiency of these devices was determined by the orientation of the magnetisation of the micromagnets relative to the external magnetic field and the size of the beads relative to that of micromagnets. By controlling these parameters and the rotation of the external magnetic field we demonstrated the controlled transport of SPM bead-labelled single MDA-MB-231 cells. The use of these novel MMAs promises to allow magnetically-labelled cells to be efficiently isolated and then manipulated on-chip for analysis with high-resolution chemical and physical techniques.European Commission - European Regional Development FundIrish Research CouncilScience Foundation IrelandNanoremedies ProgrammeProgramme for Research in Third-Level Institution
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On the Mechanical Behavior of Additively Manufactured Asymmetric Honeycombs
From a design perspective, there are four decisions that need to be made when integrating
cellular materials such as lattices and honeycombs into a structure: selection of the unit cell type,
distribution of the size of the cells across the structure, optimization of individual cell walls/struts
and junction thicknesses, and finally, integration of the cellular material with the outer form of the
larger structure it is a part of. In this paper, we explore an alternative approach to designing cellular
materials, borrowing concepts of symmetry from mathematics and the arts to manipulate 2-
dimensional square honeycombs of uniform thickness, starting from a regular, periodic square,
gradually varying symmetry and the number of shapes to create a range of forms. We report results
of compression testing of specimens made with the Fused Deposition Modeling process, and study
the effective specific properties of the honeycombs with regard to their peak stress at failure,
densification strain and energy absorption. We report weak to no correlation to the first two of
these, but demonstrate how asymmetry and negative space may be leveraged to formulate design
principles for energy absorption.Mechanical Engineerin
Non-suicidal self-injury and its association with identity formation in India and Belgium : a cross-cultural case-control study
Nonsuicidal self-injury and identity formation in Indian clinical and nonclinical samples : a comparative study
Nonsuicidal self-injury and identity formation in Indian clinical and nonclinical samples: A comparative study
Background:
Nonsuicidal self-injury (NSSI) is being increasingly identified as an important emerging mental health issue in the West. Yet, NSSI has not been adequately studied in clinical and nonclinical contexts in countries like India.
Aim:
The aim of this study was to compare different features of NSSI between clinical and nonclinical samples in India. We also explored if the strength of the association between NSSI and disturbances in identity formation – a risk factor that can increase vulnerability to NSSI – was similar in the two samples mentioned above.
Method:
For the clinical sample, data regarding NSSI and identity formation were collected from 100 psychiatric patients (47.0% females, mean age = 34.76 years, SD = 12.76, 17–70 years) from an outpatient/inpatient psychiatric department of a large tertiary hospital in Mumbai, India. Nonclinical data were collected from 120 young adults studying in a medical college in Mumbai, India (51.7% females, mean age = 19.7 years, SD = 2.16, 17–28 years). Information regarding NSSI and identity were collected using self-report questionnaires.
Results:
Lifetime prevalence of NSSI in the clinical and nonclinical samples was found to be around 17% and 21%, respectively. Although the prevalence of NSSI did not significantly differ between the two samples, some features of NSSI did differ between the two groups. Finally, multigroup Bayesian structural equation modeling indicated that irrespective of the type of the sample (i.e. clinical or nonclinical), consolidated and disturbed identity significantly (negative and positive, respectively) predicted lifetime NSSI. Additionally, the association between the aforementioned identity variables and NSSI did not significantly differ between the two samples.
Conclusion:
The findings of these studies highlight the need for exploring issues related to identity formation in individuals who engage in NSSI irrespective of whether they suffer from a psychiatric disorder or not.status: Published onlin