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Grapevine communication

Abhishek Srivastava, Anshu Raj Purohit
2021 Zenodo  
Abstract: Communication is a constant part of Teaching Learning Process. The act of transferring information from one place, person or group to another is called communication. People who lie in the top hierarchy usually control formal channel of communication. Communication basically travels through informal channels, called "the grapevine." Basically the term grapevine communication originated during early Civil War days when the telegraph wires strung through the trees and resembled like
more » ... evines. It is observed that nowadays the grapevine means "the informal transmission of information, gossip or rumour spread from person to person." As this mode of communication is informal, all information that passes through is open to change and interpretation can vary time to time. The well evident facts provide proofs that grapevine gives an outlet for imagination and truth seeking. Grapevine effect can be used to manage sharing of information amongst one another in an unofficial, or informal, manner. In this article an attempt is made to explain each and every dimension of grapevine communication i.e. Single Strand Chain, Gossip Chain, Probability Chain and Cluster Chain along with that advantages, disadvantages and significance of grapevine communication.
doi:10.5281/zenodo.4724449 fatcat:fqioxv7q4fhxfa4e4yefwgbsge

Predicting Multi-actor collaborations using Hypergraphs [article]

Ankit Sharma, Jaideep Srivastava, Abhishek Chandra
2014 arXiv   pre-print
Social networks are now ubiquitous and most of them contain interactions involving multiple actors (groups) like author collaborations, teams or emails in an organizations, etc. Hypergraphs are natural structures to effectively capture multi-actor interactions which conventional dyadic graphs fail to capture. In this work the problem of predicting collaborations is addressed while modeling the collaboration network as a hypergraph network. The problem of predicting future multi-actor
more » ... on is mapped to hyperedge prediction problem. Given that the higher order edge prediction is an inherently hard problem, in this work we restrict to the task of predicting edges (collaborations) that have already been observed in past. In this work, we propose a novel use of hyperincidence temporal tensors to capture time varying hypergraphs and provides a tensor decomposition based prediction algorithm. We quantitatively compare the performance of the hypergraphs based approach with the conventional dyadic graph based approach. Our hypothesis that hypergraphs preserve the information that simple graphs destroy is corroborated by experiments using author collaboration network from the DBLP dataset. Our results demonstrate the strength of hypergraph based approach to predict higher order collaborations (size>4) which is very difficult using dyadic graph based approach. Moreover, while predicting collaborations of size>2 hypergraphs in most cases provide better results with an average increase of approx. 45 F-Score for different sizes = 3,4,5,6,7.
arXiv:1401.6404v1 fatcat:swxk5rcd6bbgfllr5qz2karsny

A Dynamic Service Description for Mobile Environments [article]

Rohit Verma, Abhishek Srivastava
2016 arXiv   pre-print
We made use of a mobile based service registry (Verma & Srivastava, 2014) and hosted the functional description documents over it.  ...  Verma & Srivastava (2015) This work proposes a light weight and extensible approach for service description, that is designed for mobile environments.  ... 
arXiv:1608.02917v1 fatcat:2w7v6eqmn5clrdcj2sgwiq72cu

Conditional Hybrid GAN for Sequence Generation [article]

Yi Yu, Abhishek Srivastava, Rajiv Ratn Shah
2020 arXiv   pre-print
Conditional sequence generation aims to instruct the generation procedure by conditioning the model with additional context information, which is a self-supervised learning issue (a form of unsupervised learning with supervision information from data itself). Unfortunately, the current state-of-the-art generative models have limitations in sequence generation with multiple attributes. In this paper, we propose a novel conditional hybrid GAN (C-Hybrid-GAN) to solve this issue. Discrete sequence
more » ... ith triplet attributes are separately generated when conditioned on the same context. Most importantly, relational reasoning technique is exploited to model not only the dependency inside each sequence of the attribute during the training of the generator but also the consistency among the sequences of attributes during the training of the discriminator. To avoid the non-differentiability problem in GANs encountered during discrete data generation, we exploit the Gumbel-Softmax technique to approximate the distribution of discrete-valued sequences.Through evaluating the task of generating melody (associated with note, duration, and rest) from lyrics, we demonstrate that the proposed C-Hybrid-GAN outperforms the existing methods in context-conditioned discrete-valued sequence generation.
arXiv:2009.08616v1 fatcat:lg57jaoavzb2hkvuqqpaqlewg4

Motif Analysis in the Amazon Product Co-Purchasing Network [article]

Abhishek Srivastava
2010 arXiv   pre-print
Online stores like Amazon and Ebay are growing by the day. Fewer people go to departmental stores as opposed to the convenience of purchasing from stores online. These stores may employ a number of techniques to advertise and recommend the appropriate product to the appropriate buyer profile. This article evaluates various 3-node and 4-node motifs occurring in such networks. Community structures are evaluated too.These results may provide interesting insights into user behavior and a better understanding of marketing techniques.
arXiv:1012.4050v1 fatcat:rvk5ipdt6jhxjehp35gxsc5inu

AI Proctoring for Online Assessments

Abhishek Srivastava, Krishna Amipara, Chetana c, Ashmit Kumar
Recently remote learning has boomed. But therehas been no proper solution to academic examinations. Some universities collected assignments, where students can copy and paste from the web, while some have implemented remote proctoring, where a manual proctor keeps watching on student activities. If the way we live is to be the new normal there's a requirement to seek out some solution. during this paper, we have proposed an answer to develop an AI-based integrated system which will help in
more » ... nting cheating in examinations. The system catches fraudulent activities and stores the proof. This system are going to be secure and cost-effective.
doi:10.6084/m9.figshare.14994087.v1 fatcat:mvcya6jxmfdw7ezez5zehicqzi

A Dynamic Web Service Registry Framework for Mobile Environments [article]

Rohit Verma, Abhishek Srivastava
2016 arXiv   pre-print
This work is a significant extension of our previous work (Verma & Srivastava, 2014) .  ...  The proposed work is an extension of some of our previous work (Verma & Srivastava, 2014) .  ... 
arXiv:1609.09211v1 fatcat:kkbqexlvtjdmbjhqswzbft7pbq

HTS: A Hardware Task Scheduler for Heterogeneous Systems [article]

Kartik Hegde, Abhishek Srivastava, Rohit Agrawal
2019 arXiv   pre-print
As the Moore's scaling era comes to an end, application specific hardware accelerators appear as an attractive way to improve the performance and power efficiency of our computing systems. A massively heterogeneous system with a large number of hardware accelerators along with multiple general purpose CPUs is a promising direction, but pose several challenges in terms of the run-time scheduling of tasks on the accelerators and design granularity of accelerators. This paper addresses these
more » ... nges by developing an example heterogeneous system to enable multiple applications to share the available accelerators. We propose to design accelerators at a lower abstraction to enable applications to be broken down into tasks that can be mapped on several accelerators. We observe that several real-life workloads can be broken down into common primitives that are shared across many workloads. Finally, we propose and design a hardware task scheduler inspired by the hardware schedulers in out-of-order superscalar processors to efficiently utilize the accelerators in the system by scheduling tasks in out-of-order and even speculatively. We evaluate the proposed system on both real-life and synthetic benchmarks based on Digital Signal Processing~(DSP) applications. Compared to executing the benchmark on a system with sequential scheduling, proposed scheduler achieves up to 12x improvement in performance.
arXiv:1907.00271v1 fatcat:5wsgr5yzcfft7lkqz4m555kqym

Re: Prasanna Sooriakumaran, Abhishek Srivastava, Shahrokh F. Shariat, et al. A Multinational, Multi-institutional Study Comparing Positive Surgical Margin Rates Among 22 393 Open, Laparoscopic, and Robot-assisted Radical Prostatectomy Patients. Eur Urol. In press.

Gianluca Giannarini, Nazareno Suardi, Alberto Briganti
2014 European Urology  
doi:10.1016/j.eururo.2014.01.004 pmid:24447574 fatcat:6jdpd43hh5gw3gbdbijb27p4qi

Choreographing Services over Mobile Devices [chapter]

Tanveer Ahmed, Abhishek Srivastava
2014 Lecture Notes in Computer Science  
Owing to the proliferation of web services, service oriented architecture (SOA) is widely acknowledged as an ideal paradigm for both enterprise applications and compute intensive scientific processes. In todays world, the present scenario of conducting business has found a new inclination towards the Mobile Device. Mobile devices, however, are constrained by battery power, processing capability, availability and network outages. Achieving service composition in such dynamic environment is
more » ... nging. In this paper, we propose a technique inspired by Electromagnetism in Physics to enact service choreography over mobile devices. The focus of the work is to minimize the waiting time and to balance load between services of a similar kind, thereby preserving battery power. The technique is validated through a real prototype. We prove the model minimized battery consumption and achieved a reduction in the waiting time.
doi:10.1007/978-3-662-45391-9_33 fatcat:kjityrixy5bh5nq4kll7mapeoe

A Simple and Sensitive Inhibitory Kinetic Method for the Carbocisteine Determination

Abhishek Srivastava, Vivek Sharma, Vinay Kumar Singh, Krishna Srivastava
2021 Journal of the Mexican Chemical Society  
Abstract. A fast, reproducible, and sensitive method is proposed for the kinetic determination of carbocisteine (CCys). The method depends on the inhibitory property of carbocisteine, which reduces the Hg2+ catalyzed substitution rate of cyanide from [Ru(CN)6]4- with N-R-salt (1-Nitroso-2-naphthol-3,6-disulfonic acid disodium salt) via forming a stable complex with Hg2+. Spectrophotometric measurements were carried out by recording the absorbance at 525 nm (λmax of [Ru(CN)5 Nitroso-R-Salt]3-
more » ... plex) at a fixed time of 10 and 15 min under the optimized reaction conditions with [N-R-salt] = 4.5 × 10-4 M, I = 0.05 M (KNO3), Temp = 45.0 ± 0.2 o C, pH = 7.0 ± 0.03, [Hg2+] = 8.0 × 10-5 M and [Ru(CN)64-] = 4.25 × 10-5 M. With the proposed method, CCys can be determined quantitatively down to 3.0 × 10-6 M. This methodology can be effectively used for the rapid quantitative estimation of CCys in the pharmaceutical samples with good accuracy and reproducibility. The addition of common excipients in pharmaceuticals even up to 1000 times with [CCys] does not interfere significantly in the estimation of CCys. Resumen. Se propone un método rápido, reproducibley sensible para la determinación cinética de la carbocisteina (CCys). El método depende de la propiedad inhibitoria de la carbocisteina que reduce la tasa de sustitución catalizada por Hg2+ del cianuro de [Ru(CN)6]4- con la sal N-R (sal disódica del ácido 1-Nitroso-2-naftol-3,6-disulfónico) mediante la formación de un complejo estable con Hg2+. Las mediciones espectrofotométricas se llevaron a cabo registrando la absorbancia a 525 nm (λmax del complejo [Ru(CN)5 Sal-Nitroso-R]3-) en un tiempo fijo de 10 y 15 min en las condiciones de reacción optimizadas con [sal-NR] = 4.5 × 10-4 M, I = 0.05 M (KNO3), Temp = 45.0 ± 0.2 o C, pH = 7.0 ± 0.03, [Hg2+] = 8.0 × 10-5 M y [Ru(CN)64-] = 4.25 × 10-5 M. Con el método propuesto, CCys se puede determinar cuantitativamente hasta 3,0 × 10-6 M. Esta metodología se puede utilizar eficazmente para la estimación cuantitativa rápida de CCys en las muestras farmacéuticas con buena precisión y reproducibilidad. La adición de excipientes comunes en productos farmacéuticos incluso hasta 1000 veces con [CCys] no interfiere significativamente en la estimación de CCys.
doi:10.29356/jmcs.v66i1.1654 fatcat:p5fkzlpnqfhfhbddvajekikzs4

Implementing Stepped Pooled Testing for Rapid COVID-19 Detection [article]

Abhishek Srivastava, Anurag Mishra, Trusha Jayant Parekh, Sampreeti Jena
2020 arXiv   pre-print
Saumya Srivastava, MBBS and Vertika Srivastava for useful discussions, and to Dr. Hanel for providing more details about his model via email.  ... 
arXiv:2007.09780v1 fatcat:d7sic2nanjhhpdii7bobj4inkm

On Epidemic Spreading under Mobility on Networks [article]

Vishal Abhishek, Vaibhav Srivastava
2019 arXiv   pre-print
is with the Department of Mechanical Engineering, Michigan State University, East Lansing, MI 48824-1226, USA abhishe3 at Vaibhav Srivastava is with the Electrical and Computer Engineering  ...  A − (I + AQ * ) −1 A)ηq * = ((A −1 + ηQ * ) −1 − (A −1 + Q * ) −1 )ηq * = (A −1 + ηQ * ) −1 (I − (A −1 + ηQ * )(A −1 + Q * ) −1 )ηq * = (A −1 + ηQ * ) −1 (−(η − 1)(A −1 + Q * ) −1 )ηq * < 0 Vishal Abhishek  ... 
arXiv:1909.02647v2 fatcat:cinxudlrxfakdobyilokjwzkde

Understanding Evolution of COVID-19 Driven Mortality Rate [article]

Ishika Bhaumik, Suman Sinha Ray, Anshul Chaudhary, Abhishek Srivastava, Prashant Kodgire
2022 medRxiv   pre-print
The precise reason for variations in COVID-19 related mortality rates is unknown. In this article, we show that a biological science guided machine learning-based approach can predict the evolution of mortality rates across countries. We collected publicly available data of all the countries in the world with regard to the mortality rate and the relevant biological and socio-economical causes and analyzed using a novel FFT driven machine learning algorithm. Our results demonstrate how COVID-19
more » ... elated mortality rate is closely dependent on a multitude of socio-economic factors (population density, GDP per capita, global health index and population above 65 years of age), environmental (PM2.5 air pollution) and food habits (meat consumption per capita, alcohol consumption per capita, dairy product consumption per capita and sugar consumption per capita). We anticipate that our work will initiate conversations between health officials, policymakers and world leaders towards providing preventative measures against COVID-19 and future coronavirus-based diseases.
doi:10.1101/2022.01.16.22269210 fatcat:5ki6wzxepvafrdggvoe5mgxloq

Improving Privacy in Data Service Composition

Gyan P. Tiwary, Eleni Stroulia, Abhishek Srivastava
2021 IEEE Access  
ABHISHEK SRIVASTAVA is an Associate Professor in the Discipline of Computer Science and Engineering at the Indian Institute of Technology Indore.  ...  Srivastava et. al.  ... 
doi:10.1109/access.2021.3094188 fatcat:o3qxww6g4rhkfmnys6gvoy4c2e
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