2,584 research outputs found
Architecture and security issues in fog computing applications Advances in computer and electrical engineering (ACEE) book series./ [edited by] Sam Goundar, S. Bharath Bhushan, Praveen Kumar Rayani.
No full textIncludes bibliographical references and index.As the progression of the internet continues, society is finding easier, quicker ways of simplifying their needs with the use of technology. With the growth of lightweight devices, such as smart phones and wearable devices, highly configured hardware is in heightened demand in order to process the large amounts of raw data that are acquired. Connecting these devices to fog computing can reduce bandwidth and latency for data transmission when associated with centralized cloud solutions and uses machine learning algorithms to handle large amounts of raw data. The risks that accompany this advancing technology, however, have yet to be explored. Architecture and Security Issues in Fog Computing Applications is a pivotal reference source that provides vital research on the architectural complications of fog processing and focuses on security and privacy issues in intelligent fog applications. While highlighting topics such as machine learning, cyber-physical systems, and security applications, this publication explores the architecture of intelligent fog applications enabled with machine learning. This book is ideally designed for IT specialists, software developers, security analysts, software engineers, academicians, students, and researchers seeking current research on network security and wireless systems.1. Fog resource allocation through machine learning algorithm / Gowri A. S., Shanthi Bala P. -- 2. A novel resource management framework for fog computing by using machine learning algorithm / Shanthi Thangam Manukumar, Vijayalakshmi Muthuswamy -- 3. [Retracted] Security issues in fog computing for Internet of Things / D.N. Kartheek, Bharath Bhushan -- 4. Analysis of identity-based cryptography in Internet of Things (IoT) / Aravind Karrothu, Jasmine Norman -- 5. Cloud security architecture based on fully homomorphic encryption / Vaishali Ravindra Thakare, K. John Singh -- 6. Object detection in fog computing using machine learning algorithms / Peyakunta Bhargavi, Singaraju Jyothi -- 7. Distributed intelligence platform to the edge computing / Xalphonse Inbaraj -- 8. Internet of Things and fog computing applications in intelligent transportation systems / Korupalli V. Rajesh Kumar, K. Dinesh Kumar, Ravi Kumar Poluru, Syed Muzamil Basha, M. Praveen Kumar Reddy -- 9. Agribot / Ravi Kumar Poluru, M. Praveen Kumar Reddy, Rajesh Kaluri, Kuruva Lakshmanna, G. Thippa Reddy -- 10. Towards efficient resource management in fog computing : a survey and future directions / M. Sudhakara, K. Dinesh Kumar, Ravi Kumar Poluru, R. Lokesh Kumar, S. Bharath Bhushan.1 online resource (205 pages)
sj-docx-1-jpx-10.1177_23743735211056521 - Supplemental material for Awareness, Knowledge, Attitude and Empathy Levels of Dental Postgraduates Towards Their Patients During Practice and Research—A Questionnaire Based Survey
No full textSupplemental material, sj-docx-1-jpx-10.1177_23743735211056521 for Awareness, Knowledge, Attitude and Empathy Levels of Dental Postgraduates Towards Their Patients During Practice and Research—A Questionnaire Based Survey by P Mohan Kumar, D Praveen, G Praveen and
P Arun Bhupathi, M Ravi Kanth, KS Uloopi in Journal of Patient Experience</p
Supplementary_file – Supplemental material for Decoding the Roadmap for Capacity Building of Pharmacology Academicians in Catering to Drug Information Center Services in a Developing Country
No full textSupplemental material, Supplementary_file for Decoding the Roadmap for Capacity Building of Pharmacology Academicians in Catering to Drug Information Center Services in a Developing Country by M Praveen Kumar, Amol Patil, Ashish Kumar Kakkar and Harmanjit Singh in Journal of Pharmacy Technology</p
Barriers for Implementation of Renewable Energy Technologies in Rural Areas a Review
No full textThis paper provides a review on barriers of rural electrification and mechanisms for these activities. Access to affordable and high quality electricity is essential for the development of modern economies. Low rates of electricity access in the developing world pose a signi cant barrier to sustainable economic and social development, particularly in rural areas. The International Energy Agency IEA estimates that about 1.3 billion people in the world, primarily in South Asia and Sub Saharan Africa, still lack a connection to electricity. P. Praveen Kumar | G. Srinadha Sarma | R. Pradip Kumar "Barriers for Implementation of Renewable Energy Technologies in Rural Areas-a Review" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-1 | Issue-6 , October 2017, URL: https://www.ijtsrd.com/papers/ijtsrd4732.pd
강력한 시각적 위치 파악 및 기타 컴퓨터 비전 문제를 지원하는 딥 러닝 기반 솔루션
No full text학위논문(석사) - 한국과학기술원 : 미래자동차학제전공, 2023.2,[vii, 71 p. :]Visual localization is essential for many applications, including AR/VR, robots, and self-driving cars. Traditional methods use large memory and processing resources to estimate the camera position in absolute and relative terms. It gave rise to a new pattern of finding the pose using learning-based methods, i.e., pose regressors. Existing relative camera pose estimation techniques rely solely on balancing hyperparameter tuning manually or automatically in the loss function. On the other hand, current absolute pose regressors generally lack the quality to adapt to different domains of the same scene. In this work, we primarily address these two issues. First, estimating the relative camera position between a pair of images is formulated using a two-stage training strategy that eliminates the need for compensating hyperparameters in the loss function. Our proposed training strategy drastically improved the translation vector estimation by 16.11%, 28.88%, and 52.27% on the KingsCollege, OldHospital, and StMarysChurch scenes, respectively. To demonstrate texture invariance, we explore the generalization of the proposed method by extending the datasets to different scene styles for ablation and qualitative studies using Generative Adversarial Networks(GAN). Second, we offer a novel lightweight domain adaptive training framework to retrain any existing absolute pose regressors(APR) to improve their generalization capability. Our lightweight network outperforms the transformer in translation vector estimation on the visual localization benchmark dataset. The results show that despite using about 24 times fewer FLOPs, 12 times fewer activations, and five times fewer parameters than state-of-the-art MS-Transformer, our approach outperforms all CNN-based architectures and achieves comparable performance to transformer-based architectures. Our method achieves ranks 2nd and 4th with the Cambridge Landmarks and 7Scenes datasets, respectively. Moreover, our approach outperforms and ranks 1st over the MS -transformer on unseen domains. Furthermore, This work explores the demonstration of an APR's inversion for synthesizing views similar to NeRF.한국과학기술원 :미래자동차학제전공
An insight into photo-catalytic degradation mechanism of persistent pollutants with transition metal oxides and their composites: Photocatalysis mechanism, rate affecting parameters, and removal pathways
No full textPhotocatalysis process in pollution control applications has concerned considerable attention given the increasing seriousness of environmental challenges including water, air, and soil. The present review of state-of-the-art research focuses on the current research trends in the development and application of transition metal oxides [TMOs]-based photocatalysis systems to improve the removal trends of organic pollutants from wastewater and photocatalytic mechanisms. For easy understanding, the up-to-date progress in the construction and design of heterojunction systems such as Type I/Type II heterojunction, p-n heterojunction, p-n-p heterojunction, Z-scheme heterojunction, and C-scheme heterojunction have been defined in detail into four categories based on the TMOs composition and mode of application. This review focuses on the detailed assessment of supported and suspended catalysts, their specific need, methodologies for performance evaluation, and the main factors that influence the removal mechanism. In addition, all the possible advanced and fundamental mechanisms of dye degradation, especially azo dye, triphenylmethane, and indigo dye with different categories of catalysts, are summarized. The current challenges and researcher’s approaches on how they successfully solve the drawbacks as well as future research trends in TMOs-based photocatalytic systems are discussed
DTM simulation of peristaltic viscoelastic biofluid flow in asymmetric porous media: a digestive transport model
No full textAbstract not availableDharmendra Tripathi, Osman Anwar Bég, Praveen Kumar Gupta, Ganjam Radhakrishnamacharya, Jagannath Mazumda
p-Pheneylendiamine functionalized rGO/Si heterostructure Schottky junction for UV photodetectors
No full textIn this work, we report on p-Phenylenediamine (PPD) functionalized reduced graphene oxide (rG0)/Si hybrid-structure designed for UV photodetector applications (PD). The hybrid-structure was characterized by using Fourier Transform-infrared spectroscopy, X-ray photoelectron spectroscopy to confirm the formation of nano-hybrid structure and the experimental results confirmed the covalent bond between rGO and PPD. The diode parameters such as barrier height, series resistance, and ideality factor were estimated for both PPD functionalized rGO (PrGO)/Si and rGO/Si heterostructure by using I-V characteristics. The time-resolved photocurrent spectroscopy used to examine the photoresponse properties of both PrGO/Si and rGO/Si samples with UV light (lambda = 382 nm). The experimental results showed that PrGO/Si exhibited significant UV photoresponse than that of rGO/Si PD. The PrGO/Si heterostructure device exhibited photoresponsivity of 1.4 x 10(-3) A/W, which is 15 times higher than rGO/Si. The high photoresponse was attributed to the synergistic effects originated from the charge transfer between PPD and rGO. The results proved that PrGO is a promising material for high response photodetector applications.
McNetKAT - Scalable Verification of Probabilistic Networks (PLDI'19)
No full text<p>This is the artifact associated with the following paper:</p>
<blockquote>
<p>Steffen Smolka, Praveen Kumar, David M Kahn, Nate Foster, Justin<br>
Hsu, Dexter Kozen, and Alexandra Silva. 2019. Scalable Verification<br>
of Probabilistic Networks. In PLDI ’19.<br>
<a href="https://doi.org/10.1145/3314221.3314639">https://doi.org/10.1145/3314221.3314639</a>.</p>
</blockquote>
<p>You can obtain the full paper here <a href="https://arxiv.org/abs/1904.08096">here</a>.</p>
<p>Please refer to artifact-page/index.html for instruction on how to install McNetKAT and reproduce the experiments from the paper.</p>
INSPEC database analysis for Knowledge Management records
No full textThe study deals with the Knowledge Management papers covered in the INSPEC, an international database on Information Science, Physical Sciences, Engineering and Computer Sciences. The papers have been analysed in terms of their content and other scientometric parameters
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