147 research outputs found
Generalized thermalization in quenched free Fermionic models
We investigate generalized thermalization in an isolated free Fermionic chain
evolving from an out of equilibrium initial state through a sudden quench. We
consider the quench where a Fermionic chain is broken into two disjoint chains.
We focus on the evolution of the local observables namely, occupation number,
information sharing and out-of-time-order correlations after the quench and
study the relaxation of the observable, leading to generalized Gibbs ensemble
for the system in the thermodynamic limit. We obtain the light cone formed by
the evolution of the observables along the Fermionic lattice chain due to the
sudden quench which abides by the Lieb-Robinson bound in quantum systems. We
also analytically study a simpler model which captures the essential features
of the system. Our analysis strongly suggest that the internal interactions
within the system do not remain of much importance once the quench is
sufficiently strong.Comment: 14 Pages, 14 Figure
A novel coarse-to-fine remote sensing image retrieval system in JPEG-2000 compressed domain
Copyright 2018 Society of Photo‑Optical Instrumentation Engineers (SPIE). One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this publication for a fee or for commercial purposes, and modification of the contents of the publication are prohibited.This paper presents a novel content-based image search and retrieval (CBIR) system that achieves coarse to fine remote sensing (RS) image description and retrieval in JPEG 2000 compressed domain. The proposed system initially: i) decodes the code-streams associated to the coarse (i.e., the lowest) wavelet resolution, and ii) discards the most irrelevant images to the query image that are selected based on the similarities estimated among the coarse resolution features of the query image and those of the archive images. Then, the code-streams associated to the sub-sequent resolution of the remaining images in the archive are decoded and the most irrelevant images are selected by considering the features associated to both resolutions. This is achieved by estimating the similarities between the query image and remaining images by giving higher weights to the features associated to the finer resolution while assigning lower weights to those related to the coarse resolution. To this end, the pyramid match kernel similarity measure is exploited. These processes are iterated until the code-streams associated to the highest wavelet resolution are decoded only for a very small set of images. By this way, the proposed system exploits a multiresolution and hierarchical feature space and accomplish an adaptive RS CBIR with significantly reduced retrieval time. Experimental results obtained on an archive of aerial images confirm the effectiveness of the proposed system in terms of retrieval accuracy and time when compared to the standard CBIR systems
Customized fertilizers for higher yield and income: Evidences from on-farm validation in coconut – tuber crop intercropping system
Fifteen on-farm experiments were conducted in tropical tuber crops intercropped in coconut gardens in Thiruvananthapuram, Kollam and Pathanamthitta districts, Kerala, during 2018-2021 for the validation of customized fertilizers formulated from on-station developed Site-Specific Nutrient Management (SSNM) practices. The validation experiments were done under the aegis of ICAR-Central Tuber Crops Research Institute, Thiruvananthapuram, in a project funded by Coconut Development Board, Kochi, Kerala.Three treatments viz., T1: SSNM technology using customized fertilizers (CF) (SSNM), T2: present POP recommendation (POP) and T3: farmer's practice (FP) was evaluated in cassava, elephant foot yam and greater yam intercropped with coconut. System productivity and profitability were worked out for the different treatments based on yield and income from coconut and tuber crops in the respective treatments. Pooled analysis indicated that the coconut yield under intercropping with tuber crops under SSNM using CF was higher by 12-23% in comparison to coconut monocrop maintained unscientifically by the farmers. Tuber yield under CF proved superior over POP by 9.3% and FP by 37.4%. On an average, the net income from coconut-tuber crop intercropping system under SSNM using CF was ₹ 270396 per ha, whereas it was ₹ 198047 in POP and ₹146358 in FP and significantly outperformed sole coconut (₹ 7764).Thus, the results of the validation experiments indicated that the use of customized fertilizers in tuberous intercrops offered resilience with higher system productivity and profitability from coconut gardens
Organic management of tuberous intercrops for resilience, higher yield and profit from coconut plantations: Insights from validation experiments in Kerala, India
Fifteen on-farm experiments were conducted in tropical tuber crops intercropped in coconut gardens in Thiruvananthapuram, Kollam and Pathanamthitta districts, Kerala, during 2018-2021 for validation of organic production technologies. The validation experiments were performed under the aegis of the ICAR-Central Tuber Crops Research Institute, Thiruvananthapuram, in a project funded by the Coconut Development Board, Kochi, Kerala. Three treatments viz., T1: organic farming technology (OF), T2: POP recommendation (POP) and T3: farmer's practice (FP) were evaluated in cassava, elephant foot yam and greater yam intercropped with coconut. System productivity and profitability were worked out for the different treatments based on yield and income from coconut and tuber crops in the respective treatments. Pooled analysis indicated that the coconut yield under intercropping with tuber crops in organic mode was high by 7-13% in comparison to monocrop of coconut maintained by the farmers. Tuber yield under organic management was superior over POP by 14% and FP by 27%. On an average, the net income from coconut-tuber crop intercropping system under organic management was ₹ 2,36,133 ha-1, whereas it was ₹ 1,56,904 ha-1 in POP and ₹ 1,32,706 ha-1 in FP and significantly outperformed sole coconut (₹ 7,764 ha-1). Thus, the results indicated that organic management of coconut-tuber crop system offered resilience with higher system productivity and profitability
Review of Various Harvesting Options for Cassava
Harvesting plays a critical role in the cassava production value chain. A review of some existing cassava harvesting options is necessary to facilitate the proper adaption and uptake of improved harvesting methods applicable to farmers from different parts of the globe. In terms of capacity, manual, semi-manual and fully mechanised harvesting options respectively require about 22–51 man-hha-1, 16-45 man-hha-1 and 1–4 man-hha-1. An added advantage with mechanised options is that the field is left ploughed after harvesting with savings on fuel, time and cost. Mechanised harvesters work best on ridged fields with minimal trash or weeds and relatively dry soils (12–16% d.b. moisture content). Earlier attempts at mechanised harvesting have been affected by constraints such as soil characteristics, nature and size of tubers, depth and width of cluster and bond between tubers and the soil, leading to high tuber damage. Though less research attention is given to cassava harvesting mechanisation, that aspect of the global cassava transformation agenda has always been the problem. There is still room for improvement in the provision of appropriate harvesting options for cassava worldwide and a more concerted effort from both the government and private sector is vital
HETEROGENEOUS WIRELESS: THROUGHPUT GUIDANCE IN A MULTI-PATH ENVIRONMENT
Embodiments presented herein relate to throughput guidance within a multipath environment. In a proxy deployment, the proxy function may be responsible for combining the plurality of throughput guidances received over individual paths. For example, an approach to combining throughput guidances using functions such as SUM ( ), MAX ( ), or AVG ( ) may be employed according to a proxy policy definition
Pull straighten and push technique: A simple solution for guidewire realignment to facilitate stent and device delivery in coronary angioplasty
Coronary guidewire bias prevents easy passage of interventional devices such as stents and balloons during percutaneous coronaryintervention (PCI). Realigning guidewire into the central part of the lumen, away from the coronary wall helps the tracking devicesin situations with significant guidewire bias. There are several available techniques to facilitate stent delivery in tortuous vessel;however, these techniques have their own limitations and can be expensive and time-consuming. A new maneuver for easy passageof stents and balloons in these situations by guidewire realignment is described in this report. This maneuver namely “pull straightenand push technique” demonstrated an easy procedure to successfully execute stents or devices deployment in challenging PCIs
BLOCKCHAIN BASED WI-FI ONBOARDING SIMPLIFICATION, IDENTITY MANAGEMENT AND DEVICE PROFILING FOR IOT DEVICES IN ENTERPRISE NETWORKS
A consortium blockchain fabric is provided as a Digital Network Architecture Center (DNAC) Application (APP) stack running in a Cloud Neutral Facility. This consortium blockchain fabric achieves two important functions: Verification of Internet of Things (IoT) Vendor Installed Identity and IoT Device Network Usage Profile.
Verification of IoT Vendor Installed Identity. IoT device vendors will be part of the IoT consortium that maintains the blockchain fabric. The manufacturer installed identity credentials of the devices are registered on the blockchain. This allows the enterprises to verify the manufacturer installed identity of the device at the time of onboarding.
IoT Device Network Usage Profile. These are the traffic flow characteristics of the IoT application. The IoT service provider is responsible for registering the network usage profile on the blockchain fabric. IoT service providers will be consortium members. In many cases, the IoT vendor and the IoT service provider will be the same entity
A re-engagement model to overcome the psychological distress of students
COVID-19 lockdowns and lack of social interaction increased academic disengagement among students in India. This study aims to identify the student engagement pitfalls and the prevalent psychological distress in higher education institutions (HEIs) in India prior to the pandemic and during the same. An exploratory research design is adopted by executing a purposive sampling technique. Researchers collected data from undergraduate students of the top five universities, verified 600 consistent responses, and tested the hypothesis using relevant research tools. Results display that psychological distress (PD) is inversely correlated to student engagement (SE) and negatively impacts it. Researchers introduced a novel re-engagement model called “CAIS”, which is the combination of four variables, creativity, physical activity (PA), internship, service learning (SL), and tested their relationship with PD and SE. Each variable under CAIS shows an inverse correlation with PD and positively impacts SE. This study suggests to include “CAIS” in the curriculum to improve the productivity of students and reduce their stress levels. This investigation is the first of its kind to explore the connection between CAIS, SE, and PD in Indian HEIs. The results contribute to the stakeholders in education to re-engage the students in an innovative pattern during post-pandemic times
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