Weakly Supervised Localization using Deep Feature Maps

Object localization is an important computer vision problem with a variety of applications. The lack of large scale object-level annotations and the relative abundance of image-level labels makes a compelling case for weak supervision in the object localization task. Deep Convolutional Neural Networks are a class of state-of-the-art methods for the related problem of object recognition. In this paper, we describe a novel object localization algorithm which uses classification networks trained on only image labels. This weakly supervised method leverages local spatial and semantic patterns captured in the convolutional layers of classification networks. We propose an efficient beam search based approach to detect and localize multiple objects in images. The proposed method significantly outperforms the state-of-the-art in standard object localization data-sets with a 8 point increase in mAP scores

Search Tracker: Human-derived object tracking in-the-wild through large-scale search and retrieval

Humans use context and scene knowledge to easily localize moving objects in conditions of complex illumination changes, scene clutter and occlusions. In this paper, we present a method to leverage human knowledge in the form of annotated video libraries in a novel search and retrieval based setting to track objects in unseen video sequences. For every video sequence, a document that represents motion information is generated. Documents of the unseen video are queried against the library at multiple scales to find videos with similar motion characteristics. This provides us with coarse localization of objects in the unseen video. We further adapt these retrieved object locations to the new video using an efficient warping scheme. The proposed method is validated on in-the-wild video surveillance datasets where we outperform state-of-the-art appearance-based trackers. We also introduce a new challenging dataset with complex object appearance changes.Comment: Under review with the IEEE Transactions on Circuits and Systems for Video Technolog

Bioremediation of Cr (VI) from Tannery effluent using Bacillus spp and Staphylococcus spp

In the present study, biosorption of Chromium by microorganisms from tannery effluent were investigated. The efficient bacteria isolated from tannery effluent were identified as Bacillus spp and Staphylococcus spp. The effect of pH and temperature on the biosorption capacity was investigated. The optimum pH and temperature was found to be pH 7 and 37ºC for Bacillus spp followed by Staphylococcus spp, the optimum pH was 8 and temperature 37ºC respectively. The maximum adsorption of Chromium (86.4 mg/L) was showed by Bacillus spp and Staphylococcus spp showed 70.6 mg/L at an initial concentration of 100 mg/L. Both the isolates exhibited high resistance to heavy metals with minimum inhibitory concentration (MIC) for heavy metals ranging from 0.05 mg/L to 5 mg/L. Minimum inhibitory concentration of Cr (VI) resistant Bacillus spp 3.8 mg/L and Staphylococcus spp were 2.5 mg/L respectively

Ultrafast switching time and third order nonlinear coefficients of microwave treated single walled carbon nanotube suspensions

Microwave treated water soluble and amide functionalized single walled carbon nanotubes have been investigated using femtosecond degenerate pump-probe and nonlinear transmission experiments. The time resolved differential transmission using 75 femtosecond pulse with the central wavelength of 790 nm shows a bi-exponential ultrafast photo-bleaching with time constants of of 160 fs (130 fs) and 920 fs (300 fs) for water soluble (amide functionalized) nanotubes. Open and closed aperture z-scans show saturation absorption and positive (negative) nonlinear refraction for water soluble (amide functionalized) nanotubes. Two photon absorption coefficient,beata ~250 cm/GW (650 cm/GW) and nonlinear index, gamma ~ 15 cm^2/pW (-30 cm^2/pW) are obtained from the theoretical fit in the saturation limit to the data for two types of nanotubes.Comment: 15 pages, 4 figure

Studies on isolation and characterisation and its effect of seed inoculation of PGPR (Pseudomonas fluorescens) on yield of tomato

Soil samples of five different locations of rhizosphere of tomato.  The sample used for identification of Pseudomonas fluorescens and characterisation based on biochemical characteristics.  The best isolate PF-5 used for seed treatment of with tomato variety PKM-1.  The higher fruit yield was recorded in the triple combination of Pseudomonas fluorescens + Azotobacterchroococcum + Azospirillum brasilense @ 900g/plant-1 followed by Pseudomonas + Azotobacter

Antimicrobial activity of Aegle marmelos against clinical pathogens

Aegle marmelos is a medicinal herb belongs to the family Rutaceae. The different parts of plants like leaves and flowers are extracted by using the solvent methanol. The methanol extracts were screened for the antimicrobial activity. They showed greater inhibitory effect against both gram positive and gram negative organisms. The organisms used were such as Escherichia coli, Pseudomonas aeruginosa, Proteus mirabilis, Salmonella typhi, Staphylococcus aureus. Based on the present investigation results it is concluded that the methanolic extracts of Aegle marmelos has great potential as antimicrobial agent against different microorganisms and they can be used in the treatment of infections diseases caused by the resistant microorganisms

Smart Farming Solution Using Embedded System

Agricultural sector is going to face enormous difficulties since it has to feed 9.6 billion people by 2050, Therefore food production must increase by 70% by 2050. One way to address this issue and increase the quality and quantity of agricultural production is using sensing technology to make farming simple and it is called as smart farming. Smart farming has a potential to deliver a more productive and sustainable production and uses more precise and resource-efficient approach

Effect of biochar composite and organic sources on soil properties and yield of bhendi (Abelmoschus esculentus L.)

Biochar is considered as a possible and potential tool for soil fertility improvement, climate change mitigation and long term sink for atmospheric carbon dioxide. Soil application of biochar enhances the soil properties indirectly. A field experiment was conducted to evaluate the influence of organic manures viz., Farm Yard Manure (FYM), Vermicompost, Biochar, Biochar composite on soil properties, growth and yield of bhendi, Abelmoschus esculentus in Somayyanur soil series of Madurai district, Tamil Nadu. The experiment was laid out in randomized block design (RBD) with eleven treatments and three replications during the summer season (March – June) 2021 with the inclusion of inorganic fertilizers based on soil test crop response (STCR) based recommendation. Application of biochar composite (5 t ha-1) along with STCR based NPK (75% STCR) increased the total carbon content in soil by 0.538 %. This, in turn, increased the available nitrogen status to 295 and 244 Kg ha-1 at 40 and 70 DAS, respectively. Similarly, the available phosphorous (22.4, 19.3 Kg ha-1) and potassium (344.70, 323.70 Kg ha-1) status also showed a considerable increase with the same treatment. The yield attributes of bhendi viz., fruit length, girth, weight, dry matter production and yield recorded maximum values of 15.23 cm, 6.93 cm, 21.56 g, 11.9 t ha-1 and 25.20 t ha-1 with the combined application of biochar composite and NPK. The findings revealed that 25 % STCR based NPK could be reduced with the application of 5 t ha-1 of biochar composite, which is economically an option besides promoting soil health