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Search results for: Srinivas Janaswamy
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</div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: Srinivas Janaswamy</h1> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">52</span> Emotional Intelligence: Strategies in the Sphere of Leadership</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Raghavi%20Janaswamy">Raghavi Janaswamy</a>, <a href="https://publications.waset.org/abstracts/search?q=Srinivas%20Janaswamy"> Srinivas Janaswamy</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Emotional Intelligence (EI) measures the degree to which individuals can identify, understand and manage emotions. Indeed, it highlights the intricate relationship between thoughts, feelings, and behavior of an individual. In today's world, EI competencies appear to be more valuable compared to cognitive and/or technical expertise. Higher EI endows realistic confidence to perceive challenges with positive thinking and, in turn, offers a steady growth as well as the speed of work and discerning ability. It certainly plays a vital role for aspirants to ascend the organizational ladder and distinguishes outstanding leaders from the rest. Emotional maturity further reflects on the behavioral pattern toward dealing with self and the immediate environment. Indeed, it aids in cementing inter-personal relations at a workplace with a thorough understanding and certainly paves the way for leaders to their prosperity as well as organizational growth. Herein, EI contributions to an individual, team, and organizational success are discussed with an emphasis on the required tools to acquire higher EI traits. The strategies for promoting self-awareness, empathy, and social skills and changing trends of the new programs for the EI improvement are also highlighted. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=emotional%20intelligence" title="emotional intelligence">emotional intelligence</a>, <a href="https://publications.waset.org/abstracts/search?q=leadership" title=" leadership"> leadership</a>, <a href="https://publications.waset.org/abstracts/search?q=organizational%20growth" title=" organizational growth"> organizational growth</a>, <a href="https://publications.waset.org/abstracts/search?q=self-awareness%20skills" title=" self-awareness skills"> self-awareness skills</a> </p> <a href="https://publications.waset.org/abstracts/150719/emotional-intelligence-strategies-in-the-sphere-of-leadership" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/150719.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">82</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">51</span> Predicting Depth of Penetration in Abrasive Waterjet Cutting of Polycrystalline Ceramics</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=S.%20Srinivas">S. Srinivas</a>, <a href="https://publications.waset.org/abstracts/search?q=N.%20Ramesh%20Babu"> N. Ramesh Babu</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper presents a model to predict the depth of penetration in polycrystalline ceramic material cut by abrasive waterjet. The proposed model considered the interaction of cylindrical jet with target material in upper region and neglected the role of threshold velocity in lower region. The results predicted with the proposed model are validated with the experimental results obtained with Silicon Carbide (SiC) blocks. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=abrasive%20waterjet%20cutting" title="abrasive waterjet cutting">abrasive waterjet cutting</a>, <a href="https://publications.waset.org/abstracts/search?q=analytical%20modeling" title=" analytical modeling"> analytical modeling</a>, <a href="https://publications.waset.org/abstracts/search?q=ceramics" title=" ceramics"> ceramics</a>, <a href="https://publications.waset.org/abstracts/search?q=micro-cutting%20and%20inter-grannular%20cracking" title=" micro-cutting and inter-grannular cracking"> micro-cutting and inter-grannular cracking</a> </p> <a href="https://publications.waset.org/abstracts/56684/predicting-depth-of-penetration-in-abrasive-waterjet-cutting-of-polycrystalline-ceramics" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/56684.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">305</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">50</span> Vocal Training and Practice Methods: A Glimpse on the South Indian Carnatic Music</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Raghavi%20Janaswamy">Raghavi Janaswamy</a>, <a href="https://publications.waset.org/abstracts/search?q=Saraswathi%20K.%20Vasudev"> Saraswathi K. Vasudev</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Music is one of the supreme arts of expressions, next to the speech itself. Its evolution over centuries has paved the way with a variety of training protocols and performing methods. Indian classical music is one of the most elaborate and refined systems with immense emphasis on the voice culture related to range, breath control, quality of the tone, flexibility and diction. Several exercises namely saraliswaram, jantaswaram, dhatuswaram, upper stayi swaram, alamkaras and varnams lay the required foundation to gain the voice culture and deeper understanding on the voice development and further on to the intricacies of the raga system. This article narrates a few of the Carnatic music training methods with an emphasis on the advanced practice methods for articulating the vocal skills, continuity in the voice, ability to produce gamakams, command in the multiple speeds of rendering with reasonable volume. The creativity on these exercises and their impact on the voice production are discussed. The articulation of the outlined conscious practice methods and vocal exercises bestow the optimum use of the natural human vocal system to not only enhance the signing quality but also to gain health benefits. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Carnatic%20music" title="Carnatic music">Carnatic music</a>, <a href="https://publications.waset.org/abstracts/search?q=Saraliswaram" title=" Saraliswaram"> Saraliswaram</a>, <a href="https://publications.waset.org/abstracts/search?q=Varnam" title=" Varnam"> Varnam</a>, <a href="https://publications.waset.org/abstracts/search?q=vocal%20training" title=" vocal training"> vocal training</a> </p> <a href="https://publications.waset.org/abstracts/132867/vocal-training-and-practice-methods-a-glimpse-on-the-south-indian-carnatic-music" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/132867.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">176</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">49</span> Lotus Mechanism: Validation of Deployment Mechanism Using Structural and Dynamic Analysis</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Parth%20Prajapati">Parth Prajapati</a>, <a href="https://publications.waset.org/abstracts/search?q=A.%20R.%20Srinivas"> A. R. Srinivas</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The purpose of this paper is to validate the concept of the Lotus Mechanism using Computer Aided Engineering (CAE) tools considering the statics and dynamics through actual time dependence involving inertial forces acting on the mechanism joints. For a 1.2 m mirror made of hexagonal segments, with simple harnesses and three-point supports, the maximum diameter is 400 mm, minimum segment base thickness is 1.5 mm, and maximum rib height is considered as 12 mm. Manufacturing challenges are explored for the segments using manufacturing research and development approaches to enable use of large lightweight mirrors required for the future space system. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=dynamics" title="dynamics">dynamics</a>, <a href="https://publications.waset.org/abstracts/search?q=manufacturing" title=" manufacturing"> manufacturing</a>, <a href="https://publications.waset.org/abstracts/search?q=reflectors" title=" reflectors"> reflectors</a>, <a href="https://publications.waset.org/abstracts/search?q=segmentation" title=" segmentation"> segmentation</a>, <a href="https://publications.waset.org/abstracts/search?q=statics" title=" statics"> statics</a> </p> <a href="https://publications.waset.org/abstracts/62942/lotus-mechanism-validation-of-deployment-mechanism-using-structural-and-dynamic-analysis" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/62942.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">373</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">48</span> IP Management Tools, Strategies, Best Practices, and Business Models for Pharmaceutical Products</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Nerella%20Srinivas">Nerella Srinivas</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This study investigates the role of intellectual property (IP) management in pharmaceutical development, focusing on tools, strategies, and business models for leveraging IP effectively. Using a mixed-methods approach, we conducted case studies and qualitative analyses of IP management frameworks within the pharmaceutical sector. Our methodology included a review of IP tools tailored for pharmaceutical applications, strategic IP models for maximizing competitive advantages, and best practices for organizational efficiency. Findings emphasize the importance of understanding IP law and adopting adaptive strategies, illustrating how IP management can drive industry growth. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=intellectual%20property%20management" title="intellectual property management">intellectual property management</a>, <a href="https://publications.waset.org/abstracts/search?q=pharmaceutical%20products" title=" pharmaceutical products"> pharmaceutical products</a>, <a href="https://publications.waset.org/abstracts/search?q=IP%20tools" title=" IP tools"> IP tools</a>, <a href="https://publications.waset.org/abstracts/search?q=IP%20strategies" title=" IP strategies"> IP strategies</a>, <a href="https://publications.waset.org/abstracts/search?q=best%20practices" title=" best practices"> best practices</a>, <a href="https://publications.waset.org/abstracts/search?q=business%20models" title=" business models"> business models</a>, <a href="https://publications.waset.org/abstracts/search?q=innovation" title=" innovation"> innovation</a> </p> <a href="https://publications.waset.org/abstracts/193084/ip-management-tools-strategies-best-practices-and-business-models-for-pharmaceutical-products" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/193084.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">13</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">47</span> A Fully Automated New-Fangled VESTAL to Label Vertebrae and Intervertebral Discs</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=R.%20Srinivas">R. Srinivas</a>, <a href="https://publications.waset.org/abstracts/search?q=K.%20V.%20Ramana"> K. V. Ramana</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper presents a novel method called VESTAL to label vertebrae and inter vertebral discs. Each vertebra has certain statistical features properties. To label vertebrae and discs, a new equation to model the path of spinal cord is derived using statistical properties of the spinal canal. VESTAL uses this equation for labeling vertebrae and discs. For each vertebrae and inter vertebral discs both posterior, interior width, height are measured. The calculated values are compared with real values which are measured using venires calipers and the comparison produced 95% efficiency and accurate results. The VESTAL is applied on 50 patients 350 MR images and obtained 100% accuracy in labeling. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=spine" title="spine">spine</a>, <a href="https://publications.waset.org/abstracts/search?q=vertebrae" title=" vertebrae"> vertebrae</a>, <a href="https://publications.waset.org/abstracts/search?q=inter%20vertebral%20disc" title=" inter vertebral disc"> inter vertebral disc</a>, <a href="https://publications.waset.org/abstracts/search?q=labeling" title=" labeling"> labeling</a>, <a href="https://publications.waset.org/abstracts/search?q=statistics" title=" statistics"> statistics</a>, <a href="https://publications.waset.org/abstracts/search?q=texture" title=" texture"> texture</a>, <a href="https://publications.waset.org/abstracts/search?q=disc" title=" disc"> disc</a> </p> <a href="https://publications.waset.org/abstracts/22624/a-fully-automated-new-fangled-vestal-to-label-vertebrae-and-intervertebral-discs" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/22624.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">363</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">46</span> Blockchain-Based Assignment Management System</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Amogh%20Katti">Amogh Katti</a>, <a href="https://publications.waset.org/abstracts/search?q=J.%20Sai%20Asritha"> J. Sai Asritha</a>, <a href="https://publications.waset.org/abstracts/search?q=D.%20Nivedh"> D. Nivedh</a>, <a href="https://publications.waset.org/abstracts/search?q=M.%20Kalyan%20Srinivas"> M. Kalyan Srinivas</a>, <a href="https://publications.waset.org/abstracts/search?q=B.%20Somnath%20Chakravarthi"> B. Somnath Chakravarthi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Today's modern education system uses Learning Management System (LMS) portals for the scoring and grading of student performances, to maintain student records, and teachers are instructed to accept assignments through online submissions of .pdf,.doc,.ppt, etc. There is a risk of data tampering in the traditional portals; we will apply the Blockchain model instead of this traditional model to avoid data tampering and also provide a decentralized mechanism for overall fairness. Blockchain technology is a better and also recommended model because of the following features: consensus mechanism, decentralized system, cryptographic encryption, smart contracts, Ethereum blockchain. The proposed system ensures data integrity and tamper-proof assignment submission and grading, which will be helpful for both students and also educators. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=education%20technology" title="education technology">education technology</a>, <a href="https://publications.waset.org/abstracts/search?q=learning%20management%20system" title=" learning management system"> learning management system</a>, <a href="https://publications.waset.org/abstracts/search?q=decentralized%20applications" title=" decentralized applications"> decentralized applications</a>, <a href="https://publications.waset.org/abstracts/search?q=blockchain" title=" blockchain"> blockchain</a> </p> <a href="https://publications.waset.org/abstracts/176621/blockchain-based-assignment-management-system" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/176621.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">84</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">45</span> USE-Net: SE-Block Enhanced U-Net Architecture for Robust Speaker Identification</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Kilari%20Nikhil">Kilari Nikhil</a>, <a href="https://publications.waset.org/abstracts/search?q=Ankur%20Tibrewal"> Ankur Tibrewal</a>, <a href="https://publications.waset.org/abstracts/search?q=Srinivas%20Kruthiventi%20S.%20S."> Srinivas Kruthiventi S. S.</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Conventional speaker identification systems often fall short of capturing the diverse variations present in speech data due to fixed-scale architectures. In this research, we propose a CNN-based architecture, USENet, designed to overcome these limitations. Leveraging two key techniques, our approach achieves superior performance on the VoxCeleb 1 Dataset without any pre-training. Firstly, we adopt a U-net-inspired design to extract features at multiple scales, empowering our model to capture speech characteristics effectively. Secondly, we introduce the squeeze and excitation block to enhance spatial feature learning. The proposed architecture showcases significant advancements in speaker identification, outperforming existing methods, and holds promise for future research in this domain. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=multi-scale%20feature%20extraction" title="multi-scale feature extraction">multi-scale feature extraction</a>, <a href="https://publications.waset.org/abstracts/search?q=squeeze%20and%20excitation" title=" squeeze and excitation"> squeeze and excitation</a>, <a href="https://publications.waset.org/abstracts/search?q=VoxCeleb1%20speaker%20identification" title=" VoxCeleb1 speaker identification"> VoxCeleb1 speaker identification</a>, <a href="https://publications.waset.org/abstracts/search?q=mel-spectrograms" title=" mel-spectrograms"> mel-spectrograms</a>, <a href="https://publications.waset.org/abstracts/search?q=USENet" title=" USENet"> USENet</a> </p> <a href="https://publications.waset.org/abstracts/170441/use-net-se-block-enhanced-u-net-architecture-for-robust-speaker-identification" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/170441.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">74</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">44</span> Synthesis, Characterization and Catalytic Applications of Divalent Schiff Base Metal Complexes Derived from Amino Coumarins and Substituted Benzaldehydes and Acetophenones</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Srinivas%20Nerella">Srinivas Nerella</a> </p> <p class="card-text"><strong>Abstract:</strong></p> A series of new heterodentate N, O-donor ligands derived from condensing 3-amino Coumarins with hydroxy benzaldehydes and acetophenones were used to afford new mononuclear Mn(II), Co(II), Ni(II), Cu(II), Zn(II) and Pd(II) coordination compounds. All the complexes were characterized by IR, 1H-NMR, 13C-NMR, Mass, ESR, Electronic spectra, Conductance, Magnetic and Thermal studies. The ligands show hexa coordination in Mn(II), Co(II), Ni(II), and Pd(II) complexes resulting octahedral geometries, while the ligands in Zn(II) and Cu(II) complexes show tetra coordination resulting tetrahedral and square planar geometries respectively. These mononuclear complexes were investigated as catalysts in the hydrothiolation of aromatic and aliphatic alkynes with thiols. These metal complexes were acted as versatile catalysts and gave good yields. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=schiff%20bases" title="schiff bases">schiff bases</a>, <a href="https://publications.waset.org/abstracts/search?q=divalent%20metal%20complexes%20of%20schiff%20bases" title=" divalent metal complexes of schiff bases"> divalent metal complexes of schiff bases</a>, <a href="https://publications.waset.org/abstracts/search?q=Catalytic%20activity" title=" Catalytic activity"> Catalytic activity</a>, <a href="https://publications.waset.org/abstracts/search?q=hydrothiolation" title=" hydrothiolation"> hydrothiolation</a> </p> <a href="https://publications.waset.org/abstracts/17897/synthesis-characterization-and-catalytic-applications-of-divalent-schiff-base-metal-complexes-derived-from-amino-coumarins-and-substituted-benzaldehydes-and-acetophenones" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/17897.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">415</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">43</span> Graph Neural Network-Based Classification for Disease Prediction in Health Care Heterogeneous Data Structures of Electronic Health Record</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Raghavi%20C.%20Janaswamy">Raghavi C. Janaswamy</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In the healthcare sector, heterogenous data elements such as patients, diagnosis, symptoms, conditions, observation text from physician notes, and prescriptions form the essentials of the Electronic Health Record (EHR). The data in the form of clear text and images are stored or processed in a relational format in most systems. However, the intrinsic structure restrictions and complex joins of relational databases limit the widespread utility. In this regard, the design and development of realistic mapping and deep connections as real-time objects offer unparallel advantages. Herein, a graph neural network-based classification of EHR data has been developed. The patient conditions have been predicted as a node classification task using a graph-based open source EHR data, Synthea Database, stored in Tigergraph. The Synthea DB dataset is leveraged due to its closer representation of the real-time data and being voluminous. The graph model is built from the EHR heterogeneous data using python modules, namely, pyTigerGraph to get nodes and edges from the Tigergraph database, PyTorch to tensorize the nodes and edges, PyTorch-Geometric (PyG) to train the Graph Neural Network (GNN) and adopt the self-supervised learning techniques with the AutoEncoders to generate the node embeddings and eventually perform the node classifications using the node embeddings. The model predicts patient conditions ranging from common to rare situations. The outcome is deemed to open up opportunities for data querying toward better predictions and accuracy. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=electronic%20health%20record" title="electronic health record">electronic health record</a>, <a href="https://publications.waset.org/abstracts/search?q=graph%20neural%20network" title=" graph neural network"> graph neural network</a>, <a href="https://publications.waset.org/abstracts/search?q=heterogeneous%20data" title=" heterogeneous data"> heterogeneous data</a>, <a href="https://publications.waset.org/abstracts/search?q=prediction" title=" prediction"> prediction</a> </p> <a href="https://publications.waset.org/abstracts/157840/graph-neural-network-based-classification-for-disease-prediction-in-health-care-heterogeneous-data-structures-of-electronic-health-record" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/157840.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">86</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">42</span> SPICE Modeling for Evaluation of Distribution System Reliability Indices</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=G.%20N.%20Srinivas">G. N. Srinivas</a>, <a href="https://publications.waset.org/abstracts/search?q=K.%20Raju"> K. Raju</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper presents Markov processes for determining the reliability indices of distribution system. The continuous Markov modeling is applied to a complex radial distribution system and electrical equivalent circuits are developed for the modeling. In general PSPICE is being used for electrical and electronic circuits and various applications of power system like fault analysis, transient analysis etc. In this paper, the SPICE modeling equivalent circuits which are developed are applied in a novel way to Distribution System reliability analysis. These circuits are simulated using PSPICE software to obtain the state probabilities, the basic and performance indices. Thus the basic indices and the performance indices obtained by this method are compared with those obtained by FMEA technique. The application of the concepts presented in this paper are illustrated and analyzed for IEEE-Roy Billinton Test System (RBTS). <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=distribution%20system" title="distribution system">distribution system</a>, <a href="https://publications.waset.org/abstracts/search?q=Markov%20Model" title=" Markov Model"> Markov Model</a>, <a href="https://publications.waset.org/abstracts/search?q=reliability%20indices" title=" reliability indices"> reliability indices</a>, <a href="https://publications.waset.org/abstracts/search?q=spice%20simulation" title=" spice simulation "> spice simulation </a> </p> <a href="https://publications.waset.org/abstracts/2903/spice-modeling-for-evaluation-of-distribution-system-reliability-indices" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/2903.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">539</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">41</span> Comparative Analysis of DTC Based Switched Reluctance Motor Drive Using Torque Equation and FEA Models</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=P.%20Srinivas">P. Srinivas</a>, <a href="https://publications.waset.org/abstracts/search?q=P.%20V.%20N.%20Prasad"> P. V. N. Prasad</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Since torque ripple is the main cause of noise and vibrations, the performance of Switched Reluctance Motor (SRM) can be improved by minimizing its torque ripple using a novel control technique called Direct Torque Control (DTC). In DTC technique, torque is controlled directly through control of magnitude of the flux and change in speed of the stator flux vector. The flux and torque are maintained within set hysteresis bands. The DTC of SRM is analysed by two methods. In one of the methods, the actual torque is computed by conducting Finite Element Analysis (FEA) on the design specifications of the motor. In the other method, the torque is computed by Simplified Torque Equation. The variation of peak current, average current, torque ripple and speed settling time with Simplified Torque Equation model is compared with FEA based model. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=direct%20toque%20control" title="direct toque control">direct toque control</a>, <a href="https://publications.waset.org/abstracts/search?q=simplified%20torque%20equation" title=" simplified torque equation"> simplified torque equation</a>, <a href="https://publications.waset.org/abstracts/search?q=finite%20element%20analysis" title=" finite element analysis"> finite element analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=torque%20ripple" title=" torque ripple"> torque ripple</a> </p> <a href="https://publications.waset.org/abstracts/4801/comparative-analysis-of-dtc-based-switched-reluctance-motor-drive-using-torque-equation-and-fea-models" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/4801.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">479</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">40</span> Performance and Emission Prediction in a Biodiesel Engine Fuelled with Honge Methyl Ester Using RBF Neural Networks</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Shiva%20Kumar">Shiva Kumar</a>, <a href="https://publications.waset.org/abstracts/search?q=G.%20S.%20Vijay"> G. S. Vijay</a>, <a href="https://publications.waset.org/abstracts/search?q=Srinivas%20Pai%20P."> Srinivas Pai P.</a>, <a href="https://publications.waset.org/abstracts/search?q=Shrinivasa%20Rao%20B.%20R."> Shrinivasa Rao B. R.</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In the present study RBF neural networks were used for predicting the performance and emission parameters of a biodiesel engine. Engine experiments were carried out in a 4 stroke diesel engine using blends of diesel and Honge methyl ester as the fuel. Performance parameters like BTE, BSEC, Tech and emissions from the engine were measured. These experimental results were used for ANN modeling. RBF center initialization was done by random selection and by using Clustered techniques. Network was trained by using fixed and varying widths for the RBF units. It was observed that RBF results were having a good agreement with the experimental results. Networks trained by using clustering technique gave better results than using random selection of centers in terms of reduced MRE and increased prediction accuracy. The average MRE for the performance parameters was 3.25% with the prediction accuracy of 98% and for emissions it was 10.4% with a prediction accuracy of 80%. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=radial%20basis%20function%20networks" title="radial basis function networks">radial basis function networks</a>, <a href="https://publications.waset.org/abstracts/search?q=emissions" title=" emissions"> emissions</a>, <a href="https://publications.waset.org/abstracts/search?q=performance%20parameters" title=" performance parameters"> performance parameters</a>, <a href="https://publications.waset.org/abstracts/search?q=fuzzy%20c%20means" title=" fuzzy c means"> fuzzy c means</a> </p> <a href="https://publications.waset.org/abstracts/26507/performance-and-emission-prediction-in-a-biodiesel-engine-fuelled-with-honge-methyl-ester-using-rbf-neural-networks" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/26507.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">558</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">39</span> Enhancing the Efficiency of Organic Solar Cells Using Metallic Nanoparticles</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Sankara%20Rao%20Gollu">Sankara Rao Gollu</a>, <a href="https://publications.waset.org/abstracts/search?q=Ramakant%20Sharma"> Ramakant Sharma</a>, <a href="https://publications.waset.org/abstracts/search?q=G.%20Srinivas"> G. Srinivas</a>, <a href="https://publications.waset.org/abstracts/search?q=Souvik%20Kundu"> Souvik Kundu</a>, <a href="https://publications.waset.org/abstracts/search?q=Dipti%20Gupta"> Dipti Gupta</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In recent years, bulk heterojunction organic solar cells (BHJ OSCs) based on polymer–fullerene attracted a large research attention due to their numerous advantages such as light weight, easy processability, eco-friendly, low-cost, and capability for large area roll-to-roll manufacturing. BHJ OSCs usually suffer from insufficient light absorption due to restriction on keeping thin ( < 150 nm) photoactive layer because of small exciton diffusion length ( ~ 10 nm) and low charge carrier mobilities. It is thus highly desirable that light absorption as well as charge transport properties are enhanced by alternative methods so as to improve the device efficiency. In this work, therefore, we have focused on the strategy of incorporating metallic nanostructures in the active layer or charge transport layer to enhance the absorption and improve the charge transport. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=organic%20solar%20cell" title="organic solar cell">organic solar cell</a>, <a href="https://publications.waset.org/abstracts/search?q=efficiency" title=" efficiency"> efficiency</a>, <a href="https://publications.waset.org/abstracts/search?q=bulk%20heterojunction" title=" bulk heterojunction"> bulk heterojunction</a>, <a href="https://publications.waset.org/abstracts/search?q=polymer-fullerene" title=" polymer-fullerene"> polymer-fullerene</a> </p> <a href="https://publications.waset.org/abstracts/43900/enhancing-the-efficiency-of-organic-solar-cells-using-metallic-nanoparticles" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/43900.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">397</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">38</span> Manodharmam: A Scientific Methodology for Improvisation and Cognition in Carnatic Music</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Raghavi%20Janaswamy">Raghavi Janaswamy</a>, <a href="https://publications.waset.org/abstracts/search?q=Saraswathi%20K.%20Vasudev"> Saraswathi K. Vasudev</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Music is ubiquitous in human lives. Ever since the fetus hears the sound inside the mother’s womb and later upon birth, the baby experiences alluring sounds, the curiosity of learning emanates and evokes exploration. Music is an education than mere entertainment. The intricate balance between music, education, and entertainment has well been recognized by the scientific community and is being explored as a viable tool to understand and improve human cognition. There are seven basic swaras (notes) Sa, Ri, Ga, Ma, Pa, Da, and Ni in the Carnatic music system that are analogous to C, D, E, F, G, A, and B of the western system. The Carnatic music builds on the conscious use of microtones, gamakams (oscillation), and rendering styles that evolved over centuries and established its stance. The complex but erudite raga system has been designed with elaborate experiments on srutis (musical sounds) and human perception abilities. In parallel, ‘rasa’- the emotions evoked by certain srutis and hence the ragas been solidified along with the power of language in combination with the musical sounds. The Carnatic music branches out as Kalpita sangeetam (pre-composed music) and Manodharma sangeetam (improvised music). This article explores the Manodharma sangeetam and its subdivisions such as raga alapana, swara kalpana, neraval, and ragam-tanam-pallavi (RTP). The intrinsic mathematical strategies in it’s practice methods toward improvising the music have been explored in detail with concert examples. The techniques on swara weaving for swara kalpana rendering and methods on the alapana development are also discussed at length with an emphasis on the impact on the human cognitive abilities. The articulation of the outlined conscious practice methods not only helps to leave a long-lasting melodic impression on the listeners but also onsets cognitive developments. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Carnatic" title="Carnatic">Carnatic</a>, <a href="https://publications.waset.org/abstracts/search?q=Manodharmam" title=" Manodharmam"> Manodharmam</a>, <a href="https://publications.waset.org/abstracts/search?q=music%20cognition" title=" music cognition"> music cognition</a>, <a href="https://publications.waset.org/abstracts/search?q=Alapana" title=" Alapana"> Alapana</a> </p> <a href="https://publications.waset.org/abstracts/140422/manodharmam-a-scientific-methodology-for-improvisation-and-cognition-in-carnatic-music" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/140422.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">203</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">37</span> Road Accidents Bigdata Mining and Visualization Using Support Vector Machines</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Usha%20Lokala">Usha Lokala</a>, <a href="https://publications.waset.org/abstracts/search?q=Srinivas%20Nowduri"> Srinivas Nowduri</a>, <a href="https://publications.waset.org/abstracts/search?q=Prabhakar%20K.%20Sharma"> Prabhakar K. Sharma</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Useful information has been extracted from the road accident data in United Kingdom (UK), using data analytics method, for avoiding possible accidents in rural and urban areas. This analysis make use of several methodologies such as data integration, support vector machines (SVM), correlation machines and multinomial goodness. The entire datasets have been imported from the traffic department of UK with due permission. The information extracted from these huge datasets forms a basis for several predictions, which in turn avoid unnecessary memory lapses. Since data is expected to grow continuously over a period of time, this work primarily proposes a new framework model which can be trained and adapt itself to new data and make accurate predictions. This work also throws some light on use of SVM’s methodology for text classifiers from the obtained traffic data. Finally, it emphasizes the uniqueness and adaptability of SVMs methodology appropriate for this kind of research work. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=support%20vector%20mechanism%20%28SVM%29" title="support vector mechanism (SVM)">support vector mechanism (SVM)</a>, <a href="https://publications.waset.org/abstracts/search?q=machine%20learning%20%28ML%29" title=" machine learning (ML)"> machine learning (ML)</a>, <a href="https://publications.waset.org/abstracts/search?q=support%20vector%20machines%20%28SVM%29" title=" support vector machines (SVM)"> support vector machines (SVM)</a>, <a href="https://publications.waset.org/abstracts/search?q=department%20of%20transportation%20%28DFT%29" title=" department of transportation (DFT)"> department of transportation (DFT)</a> </p> <a href="https://publications.waset.org/abstracts/70645/road-accidents-bigdata-mining-and-visualization-using-support-vector-machines" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/70645.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">274</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">36</span> Patent Protection for AI Innovations in Pharmaceutical Products</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Nerella%20Srinivas">Nerella Srinivas</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This study explores the significance of patent protection for artificial intelligence (AI) innovations in the pharmaceutical sector, emphasizing applications in drug discovery, personalized medicine, and clinical trial optimization. The challenges of patenting AI-driven inventions are outlined, focusing on the classification of algorithms as abstract ideas, meeting the non-obviousness standard, and issues around defining inventorship. The methodology includes examining case studies and existing patents, with an emphasis on how companies like Benevolent AI and Insilico Medicine have successfully secured patent rights. Findings demonstrate that a strategic approach to patent protection is essential, with particular attention to showcasing AI’s technical contributions to pharmaceutical advancements. Conclusively, the study underscores the critical role of understanding patent law and innovation strategies in leveraging intellectual property rights in the rapidly advancing field of AI-driven pharmaceuticals. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=artificial%20intelligence" title="artificial intelligence">artificial intelligence</a>, <a href="https://publications.waset.org/abstracts/search?q=pharmaceutical%20industry" title=" pharmaceutical industry"> pharmaceutical industry</a>, <a href="https://publications.waset.org/abstracts/search?q=patent%20protection" title=" patent protection"> patent protection</a>, <a href="https://publications.waset.org/abstracts/search?q=drug%20discovery" title=" drug discovery"> drug discovery</a>, <a href="https://publications.waset.org/abstracts/search?q=personalized%20medicine" title=" personalized medicine"> personalized medicine</a>, <a href="https://publications.waset.org/abstracts/search?q=clinical%20trials" title=" clinical trials"> clinical trials</a>, <a href="https://publications.waset.org/abstracts/search?q=intellectual%20property" title=" intellectual property"> intellectual property</a>, <a href="https://publications.waset.org/abstracts/search?q=non-obviousness" title=" non-obviousness"> non-obviousness</a> </p> <a href="https://publications.waset.org/abstracts/193083/patent-protection-for-ai-innovations-in-pharmaceutical-products" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/193083.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">12</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">35</span> Carnatic Music Ragas and Their Role in Music Therapy</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Raghavi%20Janaswamy">Raghavi Janaswamy</a>, <a href="https://publications.waset.org/abstracts/search?q=Saraswathi%20K.%20Vasudev"> Saraswathi K. Vasudev</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Raga, as the soul and base, is a distinctive musical entity, in the music system, with unique structure on its construction of srutis (musical sounds) and application. One of the essential components of the music system is the <em>‘tala’ </em>that defines the rhythm of a song. There are seven basic swaras (notes) Sa, Ri, Ga, Ma, Pa, Da and Ni in the carnatic music system that are analogous to the C, D, E, F, G, A and B of the western system. The carnatic music further builds on conscious use of microtones, gamakams (oscillation) and rendering styles. It has basic 72 ragas known as melakarta ragas, and a plethora of ragas have been developed from them with permutations and combinations of the basic swaras. Among them, some ragas derived from a same melakarta raga are distinctly different from each other and could evoke a profound difference in the raga bhava (emotion) during rendering. Although these could bear similar arohana and avarohana swaras, their quintessential differences in the gamakas usage and srutis present therein offer varied melodic feelings; variations in the intonation and stress given to certain swara phrases are the root causes. This article enlightens a group of such allied ragas (AR) from the perspectives of their schema and raga alapana (improvisation), ranjaka prayogas (signature phrases), differences in rendering tempo, gamakas and delicate srutis along with the range of sancharas (musical phrases). The intricate differences on the sruti frequencies and use of AR in composing kritis (musical compositions) toward emotive accomplishments such as mood of valor, kindness, love, humor, anger, mercy to name few, have also been explored. A brief review on the existing scientific research on the music therapy on some of the Carnatic ragas is presented. Studying and comprehending the AR, indeed, enable the music aspirants to gain a thorough knowledge on the subtle nuances among the ragas. Such knowledge helps leave a long-lasting melodic impression on the listeners and enable further research on the music therapy. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Carnatic%20music" title="Carnatic music">Carnatic music</a>, <a href="https://publications.waset.org/abstracts/search?q=allied%20ragas" title=" allied ragas"> allied ragas</a>, <a href="https://publications.waset.org/abstracts/search?q=melakarta" title=" melakarta"> melakarta</a>, <a href="https://publications.waset.org/abstracts/search?q=gamakam" title=" gamakam"> gamakam</a> </p> <a href="https://publications.waset.org/abstracts/133062/carnatic-music-ragas-and-their-role-in-music-therapy" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/133062.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">198</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">34</span> Study of Effect of Steering Column Orientation and Operator Platform Position on the Hand Vibration in Compactors</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Sunil%20Bandaru">Sunil Bandaru</a>, <a href="https://publications.waset.org/abstracts/search?q=Suresh%20Yv"> Suresh Yv</a>, <a href="https://publications.waset.org/abstracts/search?q=Srinivas%20Vanapalli"> Srinivas Vanapalli</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Heavy machinery especially compactors has more vibrations induced from the compactor mechanism than the engines. Since the operator’s comfort is most important in any of the machines, this paper shows interest in studying the vibrations on the steering wheel for a double drum compactor. As there are no standard procedures available for testing vibrations on the steering wheel of double drum compactors, this paper tries to evaluate the vibrations on the steering wheel by considering most of the possibilities. In addition to the feasibility for the operator to adjust the steering wheel tilt as in the case of automotive, there is an option for the operator to change the orientation of the operator platform for the complete view of the road’s edge on both the ends of the front and rear drums. When the orientation is either +/-180°, the operator will be closer to the compactor mechanism; also there is a possibility for the shuffle in the modes with respect to the operator. Hence it is mandatory to evaluate the vibrations levels in both cases. This paper attempts to evaluate the vibrations on the steering wheel by considering the two operator platform positions and three steering wheel tilting angles. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=FEA" title="FEA">FEA</a>, <a href="https://publications.waset.org/abstracts/search?q=CAE" title=" CAE"> CAE</a>, <a href="https://publications.waset.org/abstracts/search?q=steering%20column" title=" steering column"> steering column</a>, <a href="https://publications.waset.org/abstracts/search?q=steering%20column%20orientation%20position" title=" steering column orientation position"> steering column orientation position</a> </p> <a href="https://publications.waset.org/abstracts/139895/study-of-effect-of-steering-column-orientation-and-operator-platform-position-on-the-hand-vibration-in-compactors" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/139895.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">225</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">33</span> A Polyimide Based Split-Ring Neural Interface Electrode for Neural Signal Recording</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ning%20Xue">Ning Xue</a>, <a href="https://publications.waset.org/abstracts/search?q=Srinivas%20Merugu"> Srinivas Merugu</a>, <a href="https://publications.waset.org/abstracts/search?q=Ignacio%20Delgado%20Martinez"> Ignacio Delgado Martinez</a>, <a href="https://publications.waset.org/abstracts/search?q=Tao%20Sun"> Tao Sun</a>, <a href="https://publications.waset.org/abstracts/search?q=John%20Tsang"> John Tsang</a>, <a href="https://publications.waset.org/abstracts/search?q=Shih-Cheng%20Yen"> Shih-Cheng Yen</a> </p> <p class="card-text"><strong>Abstract:</strong></p> We have developed a polyimide based neural interface electrode to record nerve signals from the sciatic nerve of a rat. The neural interface electrode has a split-ring shape, with four protruding gold electrodes for recording, and two reference gold electrodes around the split-ring. The split-ring electrode can be opened up to encircle the sciatic nerve. The four electrodes can be bent to sit on top of the nerve and hold the device in position, while the split-ring frame remains flat. In comparison, while traditional cuff electrodes can only fit certain sizes of the nerve, the developed device can fit a variety of rat sciatic nerve dimensions from 0.6 mm to 1.0 mm, and adapt to the chronic changes in the nerve as the electrode tips are bendable. The electrochemical impedance spectroscopy measurement was conducted. The gold electrode impedance is on the order of 10 kΩ, showing excellent charge injection capacity to record neural signals. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=impedance" title="impedance">impedance</a>, <a href="https://publications.waset.org/abstracts/search?q=neural%20interface" title=" neural interface"> neural interface</a>, <a href="https://publications.waset.org/abstracts/search?q=split-ring%20electrode" title=" split-ring electrode"> split-ring electrode</a>, <a href="https://publications.waset.org/abstracts/search?q=neural%20signal%20recording" title=" neural signal recording"> neural signal recording</a> </p> <a href="https://publications.waset.org/abstracts/6287/a-polyimide-based-split-ring-neural-interface-electrode-for-neural-signal-recording" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/6287.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">375</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">32</span> Preparation of Porous Metal Membrane by Thermal Annealing for Thin Film Encapsulation</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Jaibir%20Sharma">Jaibir Sharma</a>, <a href="https://publications.waset.org/abstracts/search?q=Lee%20JaeWung"> Lee JaeWung</a>, <a href="https://publications.waset.org/abstracts/search?q=Merugu%20Srinivas"> Merugu Srinivas</a>, <a href="https://publications.waset.org/abstracts/search?q=Navab%20Singh"> Navab Singh </a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper presents thermal annealing dewetting technique for the preparation of porous metal membrane for thin film encapsulation application. Thermal annealing dewetting experimental results reveal that pore size in porous metal membrane depend upon i.e. 1. The substrate on which metal is deposited for formation of porous metal cap membrane, 2. Melting point of metal used for porous metal cap layer membrane formation, 3. Thickness of metal used for cap layer, 4. Temperature used for porous metal membrane formation. Silver (Ag) was used as a metal for preparation of porous metal membrane by annealing the film at different temperature. Pores in porous silver film were analyzed using Scanning Electron Microscope (SEM). In order to check the usefulness of porous metal film for thin film encapsulation application, the porous silver film prepared on amorphous silicon (a-Si) was release using XeF2. Finally, guide line and structures are suggested to use this porous membrane for thin film encapsulation (TFE) application. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=dewetting" title="dewetting">dewetting</a>, <a href="https://publications.waset.org/abstracts/search?q=themal%20annealing" title=" themal annealing"> themal annealing</a>, <a href="https://publications.waset.org/abstracts/search?q=metal" title=" metal"> metal</a>, <a href="https://publications.waset.org/abstracts/search?q=melting%20point" title=" melting point"> melting point</a>, <a href="https://publications.waset.org/abstracts/search?q=porous" title=" porous"> porous</a> </p> <a href="https://publications.waset.org/abstracts/31602/preparation-of-porous-metal-membrane-by-thermal-annealing-for-thin-film-encapsulation" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/31602.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">657</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">31</span> Plastic Strain Accumulation Due to Asymmetric Cyclic Loading of Zircaloy-2 at 400°C</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=R.%20S.%20Rajpurohit">R. S. Rajpurohit</a>, <a href="https://publications.waset.org/abstracts/search?q=N.%20C.%20Santhi%20Srinivas"> N. C. Santhi Srinivas</a>, <a href="https://publications.waset.org/abstracts/search?q=Vakil%20Singh"> Vakil Singh</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Asymmetric stress cycling leads to accumulation of plastic strain which is called as ratcheting strain. The problem is generally associated with nuclear fuel cladding materials used in nuclear power plants and pressurized pipelines. In the present investigation, asymmetric stress controlled fatigue tests were conducted with three different parameters namely, mean stress, stress amplitude and stress rate (keeping two parameters constant and varying third parameter) to see the plastic strain accumulation and its effect on fatigue life and deformation behavior of Zircaloy-2 at 400°C. The tests were conducted with variable mean stress (45-70 MPa), stress amplitude (95-120 MPa) and stress rate (30-750 MPa/s) and tested specimens were characterized using transmission and scanning electron microscopy. The experimental results show that with the increase in mean stress and stress amplitude, the ratcheting strain accumulation increases with reduction in fatigue life. However, increase in stress rate leads to improvement in fatigue life of the material due to small ratcheting strain accumulation. Fractographs showed a decrease in area fraction of fatigue failed region. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=asymmetric%20cyclic%20loading" title="asymmetric cyclic loading">asymmetric cyclic loading</a>, <a href="https://publications.waset.org/abstracts/search?q=ratcheting%20fatigue" title=" ratcheting fatigue"> ratcheting fatigue</a>, <a href="https://publications.waset.org/abstracts/search?q=mean%20stress" title=" mean stress"> mean stress</a>, <a href="https://publications.waset.org/abstracts/search?q=stress%20amplitude" title=" stress amplitude"> stress amplitude</a>, <a href="https://publications.waset.org/abstracts/search?q=stress%20rate" title=" stress rate"> stress rate</a>, <a href="https://publications.waset.org/abstracts/search?q=plastic%20strain" title=" plastic strain"> plastic strain</a> </p> <a href="https://publications.waset.org/abstracts/70722/plastic-strain-accumulation-due-to-asymmetric-cyclic-loading-of-zircaloy-2-at-400c" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/70722.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">275</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">30</span> Optimization of Oxygen Plant Parameters Simulating with MATLAB</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=B.%20J.%20Sonani">B. J. Sonani</a>, <a href="https://publications.waset.org/abstracts/search?q=J.%20K.%20Ratnadhariya"> J. K. Ratnadhariya</a>, <a href="https://publications.waset.org/abstracts/search?q=Srinivas%20Palanki"> Srinivas Palanki</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Cryogenic engineering is the fast growing branch of the modern technology. There are various applications of the cryogenic engineering such as liquefaction in gas industries, metal industries, medical science, space technology, and transportation. The low-temperature technology developed superconducting materials which lead to reduce the friction and wear in various components of the systems. The liquid oxygen, hydrogen and helium play vital role in space application. The liquefaction process is produced very low temperature liquid for various application in research and modern application. The air liquefaction system for oxygen plants in gas industries is based on the Claude cycle. The effect of process parameters on the overall system is difficult to be analysed by manual calculations, and this provides the motivation to use process simulators for understanding the steady state and dynamic behaviour of such systems. The parametric study of this system via MATLAB simulations provide useful guidelines for preliminary design of air liquefaction system based on the Claude cycle. Every organization is always trying for reduce the cost and using the optimum performance of the plant for the staying in the competitive market. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=cryogenic" title="cryogenic">cryogenic</a>, <a href="https://publications.waset.org/abstracts/search?q=liquefaction" title=" liquefaction"> liquefaction</a>, <a href="https://publications.waset.org/abstracts/search?q=low%20-temperature" title=" low -temperature"> low -temperature</a>, <a href="https://publications.waset.org/abstracts/search?q=oxygen" title=" oxygen"> oxygen</a>, <a href="https://publications.waset.org/abstracts/search?q=claude%20cycle" title=" claude cycle"> claude cycle</a>, <a href="https://publications.waset.org/abstracts/search?q=optimization" title=" optimization"> optimization</a>, <a href="https://publications.waset.org/abstracts/search?q=MATLAB" title=" MATLAB"> MATLAB</a> </p> <a href="https://publications.waset.org/abstracts/49126/optimization-of-oxygen-plant-parameters-simulating-with-matlab" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/49126.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">322</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">29</span> FLIME - Fast Low Light Image Enhancement for Real-Time Video</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Vinay%20P.">Vinay P.</a>, <a href="https://publications.waset.org/abstracts/search?q=Srinivas%20K.%20S."> Srinivas K. S.</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Low Light Image Enhancement is of utmost impor- tance in computer vision based tasks. Applications include vision systems for autonomous driving, night vision devices for defence systems, low light object detection tasks. Many of the existing deep learning methods are resource intensive during the inference step and take considerable time for processing. The algorithm should take considerably less than 41 milliseconds in order to process a real-time video feed with 24 frames per second and should be even less for a video with 30 or 60 frames per second. The paper presents a fast and efficient solution which has two main advantages, it has the potential to be used for a real-time video feed, and it can be used in low compute environments because of the lightweight nature. The proposed solution is a pipeline of three steps, the first one is the use of a simple function to map input RGB values to output RGB values, the second is to balance the colors and the final step is to adjust the contrast of the image. Hence a custom dataset is carefully prepared using images taken in low and bright lighting conditions. The preparation of the dataset, the proposed model, the processing time are discussed in detail and the quality of the enhanced images using different methods is shown. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=low%20light%20image%20enhancement" title="low light image enhancement">low light image enhancement</a>, <a href="https://publications.waset.org/abstracts/search?q=real-time%20video" title=" real-time video"> real-time video</a>, <a href="https://publications.waset.org/abstracts/search?q=computer%20vision" title=" computer vision"> computer vision</a>, <a href="https://publications.waset.org/abstracts/search?q=machine%20learning" title=" machine learning"> machine learning</a> </p> <a href="https://publications.waset.org/abstracts/144526/flime-fast-low-light-image-enhancement-for-real-time-video" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/144526.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">204</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">28</span> Human Computer Interaction Using Computer Vision and Speech Processing</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Shreyansh%20Jain%20Jeetmal">Shreyansh Jain Jeetmal</a>, <a href="https://publications.waset.org/abstracts/search?q=Shobith%20P.%20Chadaga"> Shobith P. Chadaga</a>, <a href="https://publications.waset.org/abstracts/search?q=Shreyas%20H.%20Srinivas"> Shreyas H. Srinivas</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Internet of Things (IoT) is seen as the next major step in the ongoing revolution in the Information Age. It is predicted that in the near future billions of embedded devices will be communicating with each other to perform a plethora of tasks with or without human intervention. One of the major ongoing hotbed of research activity in IoT is Human Computer Interaction (HCI). HCI is used to facilitate communication between an intelligent system and a user. An intelligent system typically comprises of a system consisting of various sensors, actuators and embedded controllers which communicate with each other to monitor data collected from the environment. Communication by the user to the system is typically done using voice. One of the major ongoing applications of HCI is in home automation as a personal assistant. The prime objective of our project is to implement a use case of HCI for home automation. Our system is designed to detect and recognize the users and personalize the appliances in the house according to their individual preferences. Our HCI system is also capable of speaking with the user when certain commands are spoken such as searching on the web for information and controlling appliances. Our system can also monitor the environment in the house such as air quality and gas leakages for added safety. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=human%20computer%20interaction" title="human computer interaction">human computer interaction</a>, <a href="https://publications.waset.org/abstracts/search?q=internet%20of%20things" title=" internet of things"> internet of things</a>, <a href="https://publications.waset.org/abstracts/search?q=computer%20vision" title=" computer vision"> computer vision</a>, <a href="https://publications.waset.org/abstracts/search?q=sensor%20networks" title=" sensor networks"> sensor networks</a>, <a href="https://publications.waset.org/abstracts/search?q=speech%20to%20text" title=" speech to text"> speech to text</a>, <a href="https://publications.waset.org/abstracts/search?q=text%20to%20speech" title=" text to speech"> text to speech</a>, <a href="https://publications.waset.org/abstracts/search?q=android" title=" android"> android</a> </p> <a href="https://publications.waset.org/abstracts/73991/human-computer-interaction-using-computer-vision-and-speech-processing" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/73991.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">362</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">27</span> Transformative Digital Trends in Supply Chain Management: The Role of Artificial Intelligence</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Srinivas%20Vangari">Srinivas Vangari</a> </p> <p class="card-text"><strong>Abstract:</strong></p> With the technological advancements around the globe, artificial intelligence (AI) has boosted supply chain management (SCM) by improving efficiency, sensitivity, and promptness. Artificial intelligence-based SCM provides comprehensive perceptions of consumer behavior in dynamic market situations and trends, foreseeing the accurate demand. It reduces overproduction and stockouts while optimizing production planning and streamlining operations. Consequently, the AI-driven SCM produces a customer-centric supply with resilient and robust operations. Intending to delve into the transformative significance of AI in SCM, this study focuses on improving efficiency in SCM with the integration of AI, understanding the production demand, accurate forecasting, and particular production planning. The study employs a mixed-method approach and expert survey insights to explore the challenges and benefits of AI applications in SCM. Further, a case analysis is incorporated to identify the best practices and potential challenges with the critical success features in AI-driven SCM. Key findings of the study indicate the significant advantages of the AI-integrated SCM, including optimized inventory management, improved transportation and logistics management, cost optimization, and advanced decision-making, positioning AI as a pivotal force in the future of supply chain management. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=artificial%20intelligence" title="artificial intelligence">artificial intelligence</a>, <a href="https://publications.waset.org/abstracts/search?q=supply%20chain%20management" title=" supply chain management"> supply chain management</a>, <a href="https://publications.waset.org/abstracts/search?q=accurate%20forecast" title=" accurate forecast"> accurate forecast</a>, <a href="https://publications.waset.org/abstracts/search?q=accurate%20planning%20of%20production" title=" accurate planning of production"> accurate planning of production</a>, <a href="https://publications.waset.org/abstracts/search?q=understanding%20demand" title=" understanding demand"> understanding demand</a> </p> <a href="https://publications.waset.org/abstracts/189672/transformative-digital-trends-in-supply-chain-management-the-role-of-artificial-intelligence" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/189672.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">21</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">26</span> Understanding the Selectional Preferences of the Twitter Mentions Network</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=R.%20Sudhesh%20Solomon">R. Sudhesh Solomon</a>, <a href="https://publications.waset.org/abstracts/search?q=P.%20Y.%20K.%20L.%20Srinivas"> P. Y. K. L. Srinivas</a>, <a href="https://publications.waset.org/abstracts/search?q=Abhay%20Narayan"> Abhay Narayan</a>, <a href="https://publications.waset.org/abstracts/search?q=Amitava%20Das"> Amitava Das</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Users in social networks either unicast or broadcast their messages. At mention is the popular way of unicasting for Twitter whereas general tweeting could be considered as broadcasting method. Understanding the information flow and dynamics within a Social Network and modeling the same is a promising and an open research area called Information Diffusion. This paper seeks an answer to a fundamental question - understanding if the at-mention network or the unicasting pattern in social media is purely random in nature or is there any user specific selectional preference? To answer the question we present an empirical analysis to understand the sociological aspects of Twitter mentions network within a social network community. To understand the sociological behavior we analyze the values (Schwartz model: Achievement, Benevolence, Conformity, Hedonism, Power, Security, Self-Direction, Stimulation, Traditional and Universalism) of all the users. Empirical results suggest that values traits are indeed salient cue to understand how the mention-based communication network functions. For example, we notice that individuals possessing similar values unicast among themselves more often than with other value type people. We also observe that traditional and self-directed people do not maintain very close relationship in the network with the people of different values traits. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=information%20diffusion" title="information diffusion">information diffusion</a>, <a href="https://publications.waset.org/abstracts/search?q=personality%20and%20values" title=" personality and values"> personality and values</a>, <a href="https://publications.waset.org/abstracts/search?q=social%20network%20analysis" title=" social network analysis"> social network analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=twitter%20mentions%20network" title=" twitter mentions network"> twitter mentions network</a> </p> <a href="https://publications.waset.org/abstracts/83483/understanding-the-selectional-preferences-of-the-twitter-mentions-network" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/83483.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">374</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">25</span> The Effect of Gamma rays on Physicochemical Properties of Carboxymethyl Starch</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=N.%20Rajeswara%20Rao">N. Rajeswara Rao</a>, <a href="https://publications.waset.org/abstracts/search?q=T.%20Venkatappa%20Rao"> T. Venkatappa Rao</a>, <a href="https://publications.waset.org/abstracts/search?q=K.%20Sowri%20Babu"> K. Sowri Babu</a>, <a href="https://publications.waset.org/abstracts/search?q=N.%20Srinivas%20Rao"> N. Srinivas Rao</a>, <a href="https://publications.waset.org/abstracts/search?q=P.%20S.%20V.%20Shanmukhi"> P. S. V. Shanmukhi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Carboxymethyl Starch (CMS) is a biopolymer derived from starch by the substitution method. CMS is proclaimed to have improved physicochemical properties than native starch. The present work deals with the effect of gamma radiation on the physicochemical properties of CMS. The samples were exposed to gamma irradiation of doses 30, 60 and 90 kGy. The resultant properties were studied with electron spin resonance (ESR), fourier transform infrared spectrometer (FTIR), differential scanning calorimeter (DSC), X-ray diffractometer (XRD) and scanning electron microscopy. Irradiation of CMS by gamma rays initiates cleavage of glucosidic bonds producing different types of radicals. Some of these radicals convert to peroxy radicals by abstracting oxygen. The ESR spectrum of CMS is anisotropic and is thought to be due to the superposition of various component spectra. In order to analyze the ESR spectrum, computer simulations were also employed. ESR spectra are also recorded under different conditions like post-irradiation times, variable temperatures and saturation behavior in order to evaluate the stability of free radicals produced on irradiation. Thermal studies from DSC depict that for CMS the gelatization process was absconded at higher doses. Relative crystallinity was reduced significantly after irradiation from XRD Studies. FTIR studies also confirm the same aspect. From ESR studies, it was concluded that irradiated CMS could be a potential reference material in ESR dosimetry. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=gamma%20rays" title="gamma rays">gamma rays</a>, <a href="https://publications.waset.org/abstracts/search?q=free%20radicals" title=" free radicals"> free radicals</a>, <a href="https://publications.waset.org/abstracts/search?q=ESR%20simulations" title=" ESR simulations"> ESR simulations</a>, <a href="https://publications.waset.org/abstracts/search?q=gelatization" title=" gelatization"> gelatization</a> </p> <a href="https://publications.waset.org/abstracts/115640/the-effect-of-gamma-rays-on-physicochemical-properties-of-carboxymethyl-starch" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/115640.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">103</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">24</span> Experimental and Computational Analysis of Glass Fiber Reinforced Plastic Beams with Piezoelectric Fibers</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Selin%20Kunc">Selin Kunc</a>, <a href="https://publications.waset.org/abstracts/search?q=Srinivas%20Koushik%20Gundimeda"> Srinivas Koushik Gundimeda</a>, <a href="https://publications.waset.org/abstracts/search?q=John%20A.%20Gallagher"> John A. Gallagher</a>, <a href="https://publications.waset.org/abstracts/search?q=Roselita%20Fragoudakis"> Roselita Fragoudakis</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This study investigates the behavior of Glass Fiber Reinforced Plastic (GFRP) laminated beams additionally reinforced with piezoelectric fibers. The electromechanical behavior of piezoelectric materials coupled with high strength/low weight GFRP laminated beams can have significant application in a wide range of industries. Energy scavenging through mechanical vibrations is the focus of this study, and possible applications can be seen in the automotive industry. This study examines the behavior of such composite laminates using Classical Lamination Theory (CLT) under three-point bending conditions. Fiber orientation is optimized for the desired stiffness and deflection that yield maximum energy output. Finite element models using ABAQUS/CAE are verified through experimental testing. The optimum stacking sequences examined are [0o]s, [ 0/45o]s, and [45/-45o]s. Results show the superiority of the stacking sequence [0/45o]s, providing higher strength at a lower weight, and maximum energy output. Furthermore, laminated GFRP beams additionally reinforced with piezoelectric fibers can be used under bending to not only replace metallic component while providing similar strength at a lower weight but also provide an energy output. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=classical%20lamination%20theory%20%28CLT%29" title="classical lamination theory (CLT)">classical lamination theory (CLT)</a>, <a href="https://publications.waset.org/abstracts/search?q=energy%20scavenging" title=" energy scavenging"> energy scavenging</a>, <a href="https://publications.waset.org/abstracts/search?q=glass%20fiber%20reinforced%20plastics%20%28GFRP%29" title=" glass fiber reinforced plastics (GFRP)"> glass fiber reinforced plastics (GFRP)</a>, <a href="https://publications.waset.org/abstracts/search?q=piezoelectric%20fibers" title=" piezoelectric fibers"> piezoelectric fibers</a> </p> <a href="https://publications.waset.org/abstracts/91201/experimental-and-computational-analysis-of-glass-fiber-reinforced-plastic-beams-with-piezoelectric-fibers" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/91201.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">306</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">23</span> Ipsilateral Heterotopic Ossification in the Knee and Shoulder Post Long COVID-19</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Raheel%20Shakoor%20Siddiqui">Raheel Shakoor Siddiqui</a>, <a href="https://publications.waset.org/abstracts/search?q=Calvin%20Mathias"> Calvin Mathias</a>, <a href="https://publications.waset.org/abstracts/search?q=Manikandar%20Srinivas%20Cheruvu"> Manikandar Srinivas Cheruvu</a>, <a href="https://publications.waset.org/abstracts/search?q=Bobin%20Varghese"> Bobin Varghese</a> </p> <p class="card-text"><strong>Abstract:</strong></p> A 58 year old gentleman presented to accident and emergency at the district general hospital with worsening shortness of breath and a non-productive cough over a period of five days. He was initially admitted under the medical team for suspicion of SARS-CoV-2 (COVID-19) pneumonitis. Subsequently, upon deterioration of observations and a positive COVID-19 PCR, he was taken to intensive care for invasive mechanical ventilation. He required frequent proning, inotropic support and was intubated for thirty-three days. After successful extubation, he developed myopathy with a limited range of motion to his right knee and right shoulder. Plain film imaging of these limbs demonstrated an unusual formation of heterotopic ossification without any precipitating trauma or surgery. Current literature demonstrates limited case series portraying heterotopic ossification post-COVID-19. There has been negligible evidence of heterotopic ossification in the ipsilateral knee and shoulder post-prolonged immobility secondary to a critical illness. Physiotherapy and rehabilitation are post-intensive care can be prolonged due to the formation of heterotopic ossification around joints. Prolonged hospital stays may lead to a higher risk of developing infections of the chest, urine and pressure sores. This raises the question of whether a severe systemic inflammatory immune response from the SARS-CoV-2 virus results in histopathological processes leading to the formation of heterotopic ossification not previously seen, requiring prolonged physiotherapy. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=orthopaedics" title="orthopaedics">orthopaedics</a>, <a href="https://publications.waset.org/abstracts/search?q=rehabilitation" title=" rehabilitation"> rehabilitation</a>, <a href="https://publications.waset.org/abstracts/search?q=physiotherapy" title=" physiotherapy"> physiotherapy</a>, <a href="https://publications.waset.org/abstracts/search?q=heterotopic%20ossification" title=" heterotopic ossification"> heterotopic ossification</a>, <a href="https://publications.waset.org/abstracts/search?q=COVID-19" title=" COVID-19"> COVID-19</a> </p> <a href="https://publications.waset.org/abstracts/169198/ipsilateral-heterotopic-ossification-in-the-knee-and-shoulder-post-long-covid-19" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/169198.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">71</span> </span> </div> </div> <ul class="pagination"> <li class="page-item disabled"><span class="page-link">‹</span></li> <li class="page-item active"><span class="page-link">1</span></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=Srinivas%20Janaswamy&page=2">2</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=Srinivas%20Janaswamy&page=2" rel="next">›</a></li> </ul> </div> </main> <footer> <div id="infolinks" class="pt-3 pb-2"> <div class="container"> <div 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