264 research outputs found
Smart Solar Grass Cutter Robot
Today, we know that solar energy is a renewable source of energy. And the fossils fuel may not be available in the future and it also pollutes to our environment. So we have to use, one of the most promising source of energy where everyone focusing on the concept of solar power and its utilization. Smartly grass cutting robot detects obstacles by the ultrasonic sensor with servo in wide range for avoiding obstacles without any need of human interaction. All the motors, sensors and cutting operation are automatically controlled by the Arduino and manually by Bluetooth module. And the cutting operation is performed by single metallic thread which is operated by DC motor 10000 rpm . Cutting robot batteries charged by a charging dock which is located in the ground separately. Charging dock is attached with the Solar panel and charging controller. Ajit Singh Shekhawat | Nikesh Kumar | Roopal Yadav | Siddharth Tyagi | Arun Pratap Singh "Smart Solar Grass Cutter Robot" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-3 , April 2019, URL: https://www.ijtsrd.com/papers/ijtsrd23320.pd
RETRACTED ARTICLE: Psychological predictors behind the intention to drink and drive among female drivers: Application of extended theory of planned behavior
We, the Editor and Publisher of Traffic Injury Prevention, have retracted the following article: Ankit Kumar Yadav. Psychological predictors behind the intention to drink and drive among female drivers: Application of extended theory of planned behavior. Traffic Injury Prevention. 2020. https://doi.org/10.1080/15389588.2019.1703961. The author has requested the retraction of his article due to an error in one of the collected psychological measures. During data extraction, the responses for ‘attitude’ and ‘intention’ measures were switched and may have influenced the findings from the developed regression model and its results. As a result, the Editor and Publisher have agreed to retract the article in full. We have investigated and have been informed in our decision-making by our policy on publishing ethics and integrity and the COPE guidelines on retractions. The retracted article will remain online to maintain the scholarly record, but it will be digitally watermarked on each page as “Retracted”.</p
RECTIFIED DIFFERENTIAL CRYPTANALYSIS OF 16 ROUND PRESENT
RECTIFIED DIFFERENTIAL CRYPTANALYSIS OF 16 ROUND PRESENT
Manoj Kumar , Pratibha Yadav and Meena Kumari
SAG, DRDO, Metcalfe House, Delhi-110054, India
ABSTRACT
In this paper, we have suggested rectifications in differential cryptanalysis of ultra-lightweight block cipher PRESENT reduced to 16 rounds. We have shown that proposed differential attack by Wang [3] on 16 round PRESENT can recover at the most 30 subkey bits, although the author has claimed to recover 32 bits of subkey for last two rounds. We have also computed data complexity and success probability for recovering 30 subkey bits accordingly by the differential attack on 16 round PRESENT.
KEYWORDS
Lightweight block cipher, differential cryptanalysis, PRESEN
Differential expression of collectins in human placenta and role in inflammation during spontaneous Labor.
© 2014 Yadav et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.Collectins, collagen-containing Ca2+ dependent C-type lectins and a class of secretory proteins including SP-A, SP-D and MBL, are integral to immunomodulation and innate immune defense. In the present study, we aimed to investigate their placental transcript synthesis, labor associated differential expression and localization at feto-maternal interface, and their functional implication in spontaneous labor. The study involved using feto-maternal interface (placental/decidual tissues) from two groups of healthy pregnant women at term (≥37 weeks of gestation), undergoing either elective C-section with no labor ('NLc' group, n = 5), or normal vaginal delivery with spontaneous labor ('SLv' group, n = 5). The immune function of SP-D, on term placental explants, was analyzed for cytokine profile using multiplexed cytokine array. SP-A, SP-D and MBL transcripts were observed in the term placenta. The 'SLv' group showed significant up-regulation of SP-D (p = 0.001), and down-regulation of SP-A (p = 0.005), transcripts and protein compared to the 'NLc' group. Significant increase in 43 kDa and 50 kDa SP-D forms in placental and decidual tissues was associated with the spontaneous labor (p<0.05). In addition, the MMP-9-cleaved form of SP-D (25 kDa) was significantly higher in the placentae of 'SLv' group compared to the 'NLc' group (p = 0.002). Labor associated cytokines IL-1α, IL-1β, IL-6, IL-8, IL-10, TNF-α and MCP-1 showed significant increase (p<0.05) in a dose dependent manner in the placental explants treated with nSP-D and rhSP-D. In conclusion, the study emphasizes that SP-A and SP-D proteins associate with the spontaneous labor and SP-D plausibly contributes to the pro-inflammatory immune milieu of feto-maternal tissues.Funding provided by BT/PR15227/BRB/10/906/2011) Department of Biotechnology (DBT), Government of India http://dbtindia.nic.in/index.asp (TM) and Indian Council of Medical Research (ICMR) Junior Research Fellowship (JRF)/Senior Research Fellowship (SRF), Government of India, www.icmr.nic.in (AKY)
Applicability of the Global Land Evaporation Amsterdam Model Data for Basin-Scale Spatiotemporal Drought Assessment
Drought directly impacts the living organisms and environment, and thereby, its assessment is essential. Different drought indices require different data, which can be obtained based on models or in-situ measurements, demanding a significant amount of effort. Using remotely sensed (RS) data from satellites can facilitate this data acquisition. Nowadays, more and more satellite techniques are rising, highlighting the need to assess the accuracy of their data and the reliability of the results obtained by employing them. The Wet-environment Evapotranspiration Precipitation Standardized Index (WEPSI) has shown good performance in drought monitoring and assessment, especially for agricultural purposes. This chapter employs the Global Land Evaporation Amsterdam Model (GLEAM) data to investigate its applicability in the Lempa River basin drought assessment using WEPSI. In this order, evaluated data obtained from the Water Evaluation and Planning system (WEAP) were used as the basis for comparison. Precisely, a comparison was made with GLEAM and WEAP-based data as well as WEPSI time series based on these two datasets. The results show a relatively high similarity between these two datasets and calculated WEPSI drought indices. This validates the good performance of GLEAM-based data in drought monitoring and assessment based on WEPSI.Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.Water Resource
Correction: Singh et al. An Experimental Investigation on the Material Removal Rate and Surface Roughness of a Hybrid Aluminum Metal Matrix Composite (Al6061/SiC/Gr). Metals 2021, 11, 1449
Harish Kumar Garg was not included as an author in the published article [...
Pattern of Cancer in Nepal from 2003 to 2011
Correction: On 15th January 2017, the authors Sunil Kumar Sah and Naval Kishor Yadav were added to the author list.Cancer is global burden of disease in developed and developing countries. It is one of the main causes of death. The environmental factor and life styles are major causes of cancer.This hospital based retrospective study was carried out using data retrieved from the register maintained at seven cancer centers. The most common basis of diagnosis were microscopic (histopathological and cytopathological examination). The diagnosis was also based on clinical examination, radiological examination, endoscopy, biochemical and immunological tests.Most of the cancer cases were diagnosed at BPKMCH (23908) followed by BPKIHS (9668) and BH (5959) and few cases from KCH (518) in 2003 to 2011. The total number of cancer cases were increasing from 2003 to 2011 and it become double in 2011. Out of 75 district of Nepal, more number of cancer cases was found in Kathmandu, Sunsari, Morang, Chitwan, Lalitpur, Jhapa, Kaski, Nawalparasi, Rupendehi and Kavrepalchowk in 2010. Similarly, in 2011 more number of cancer cases was found in Kathmandu, Morang, Jhapa, Sunsari, Chitwan, Lalitpur, Rupendehi, Kaski, Saptari, Bhaktapur. Lung cancer was the common cancer and similarly, other prevalent cancers were cervical, breast, stomach, ovarian and colo-rectum cancer in 2003 to 2011. The common cancers were lung, cervical, breast, stomach, ovarian and colo-rectum. The number of patients is increasing, which may be due to change in life style and lack of education
Treated wastewater reuse for recharge in agricultural fields: Retention dynamics and geochemical modeling of macronutrients in soils
Reusing treated wastewater (TWW) with high concentrations of macronutrients (nitrogen, phosphorus, and potassium) in Agricultural-Based Managed Aquifer Recharge (AgMAR) presents various challenges to soils, crops, water resources, microbes, public health, and economics. This study investigates the behavior of macronutrients in agricultural soil during TWW recharge through AgMAR, focusing on the effects of mineral formation during the recharge process. Batch experiments, kinetic studies, and pH edge experiments were conducted to understand the retention behaviors of ammonium (NH4+), phosphate (PO4−3), and Potassium ion (K+) in soils. Visual MINTEQ was employed to evaluate the saturation indices of nutrient dissolution, equilibrium, and precipitation conditions, using macronutrient concentrations from TWW and soil mineral data as inputs. The Freundlich isotherm model provided the best fit for the experimental results for ammonium and potassium, with correlation coefficients of 0.98 and 0.99, respectively. For phosphorus, the Temkin model showed the best fit, with a correlation coefficient of 0.96. Retention behaviors varied with pH: ammonium and potassium exhibited higher retention under basic conditions, while phosphate demonstrated greater retention in acidic conditions. The pseudo-second-order kinetic model best described the retention kinetics observed in the experiments. The saturation index (SI) results revealed that manganese hydrogen phosphate (MnHPO4) fully precipitates and calcium phosphate Ca3(PO4)2 precipitates at pH levels above 8, while other nutrients remained in dissolution. This study highlights that nutrient retention from TWW effluent enhances nutrient availability for plants. However, the precipitation of certain forms, such as MnHPO₄ and Ca₃(PO₄)₂, may clog soil pores, restricting recharge pathways. These findings support the reuse of TWW as a sustainable method for supplementing agricultural nutrients and ensuring safe groundwater recharge, while also offering a safe disposal solution for wastewater treatment plant
Speed Sensorless Control of Induction Motor
The developments of vector control strategy in Induction motor have been extensively preferred in the industries for variable speed drives. Vector control strategy requires speed encoders, which cause extra cost, reliability, maintenance problem. Therefore, there is high interest in researcher to develop a speed sensorless control of induction motor drive. There are many speed estimation techniques used for this purpose. Among all the speed estimation techniques, model reference adaptive system (MRAS) gains its popularity due to high disturbance rejection, robust and simple in implementation. In MRAS techniques, reference model and adaptive model are used. Reference model is taken as fixed model and it is independent from rotor speed. Adaptive model is taken as speed dependent model. Output of adaptive model is compare with reference model and processed through a PI controller to get estimated speed. In this speed estimation technique, rotor speeds information is derived from stator voltage and current at motor terminals
Collected Papers (Papers of Mathematics or Applied Mathematics), Volume V
This volum includes 37 papers of mathematics or applied mathematics written by the author alone or in collaboration with the following co-authors: Cătălin Barbu, Mihály Bencze, Octavian Cira, Marian Niţu, Ion Pătraşcu, Mircea E. Şelariu, Rajan Alex, Xingsen Li, Tudor Păroiu, Luige Vlădăreanu, Victor Vlădăreanu, Ştefan Vlăduţescu, Yingjie Tian, Mohd Anasri, Lucian Căpitanu, Valeri Kroumov, Kimihiro Okuyama, Gabriela Tonţ, A. A. Adewara, Manoj K. Chaudhary, Mukesh Kumar, Sachin Malik, Alka Mittal, Neetish Sharma, Rakesh K. Shukla, Ashish K. Singh, Jayant Singh, Rajesh Singh, V.V. Singh, Hansraj Yadav, Amit Bhaghel, Dipti Chauhan, V. Christianto, Priti Singh, and Dmitri Rabounski
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