IA Scholar Query: Incremental Text Indexing for Fast Disk-Based Search.
https://scholar.archive.org/
Internet Archive Scholar query results feedeninfo@archive.orgSat, 31 Dec 2022 00:00:00 GMTfatcat-scholarhttps://scholar.archive.org/help1440An Algorithmic Study of Fully Dynamic Independent Sets for Map Labeling
https://scholar.archive.org/work/by4kwstrpzgk3fvpxqnu3yoeiq
Map labeling is a classical problem in cartography and geographic information systems that asks to place labels for area, line, and point features, with the goal to select and place the maximum number of independent (i.e., overlap-free) labels. A practically interesting case is point labeling with axis-parallel rectangular labels of common size. In a fully dynamic setting, at each timestep, either a new label appears or an existing label disappears. Then, the challenge is to maintain a maximum cardinality subset of pairwise independent labels with sublinear update time. Motivated by this, we study the maximal independent set ( MIS ) and maximum independent set ( Max-IS ) problems on fully dynamic (insertion/deletion model) sets of axis-parallel rectangles of two types: (i) uniform height and width and (ii) uniform height and arbitrary width; both settings can be modeled as rectangle intersection graphs. We present the first deterministic algorithm for maintaining an MIS (and thus a 4-approximate Max-IS ) of a dynamic set of uniform rectangles with polylogarithmic update time. This breaks the natural barrier of \( \Omega (\Delta) \) update time (where \( \Delta \) is the maximum degree in the graph) for vertex updates presented by Assadi et al. (STOC 2018). We continue by investigating Max-IS and provide a series of deterministic dynamic approximation schemes. For uniform rectangles, we first give an algorithm that maintains a 4-approximate Max-IS with \( O(1) \) update time. In a subsequent algorithm, we establish the trade-off between approximation quality \( 2(1+\frac{1}{k}) \) and update time \( O(k^2\log n) \) , for \( k\in \mathbb {N} \) . We conclude with an algorithm that maintains a 2-approximate Max-IS for dynamic sets of unit-height and arbitrary-width rectangles with \( O(\log ^2 n + \omega \log n) \) update time, where \( \omega \) is the maximum size of an independent set of rectangles stabbed by any horizontal line. We implement our algorithms and report the results of an experimental comparison exploring the trade-off between solution quality and update time for synthetic and real-world map labeling instances. We made several major observations in our empirical study. First, the original approximations are well above their respective worst-case ratios. Second, in comparison with the static approaches, the dynamic approaches show a significant speedup in practice. Third, the approximation algorithms show their predicted relative behavior. The better the solution quality, the worse the update times. Fourth, a simple greedy augmentation to the approximate solutions of the algorithms boost the solution sizes significantly in practice.Sujoy Bhore, Guangping Li, Martin Nöllenburgwork_by4kwstrpzgk3fvpxqnu3yoeiqSat, 31 Dec 2022 00:00:00 GMTFew-electron signals and their implications in liquid xenon time projection chambers
https://scholar.archive.org/work/vq5k42ttkncz3cd3dzngih2p5e
The energy threshold of liquid xenon detectors is driven by the requirements of observing a scintillation signal as well as a large ionization signal. Observing both allows powerful background rejection, but limits the sensitivity below O(10 GeV/c2). Removing the requirement of having a scintillation signal, the threshold for light dark matter can be pushed lower. One limitation to the light dark matter search in XENON1T was single- and few-electron backgrounds that were not well understood. A dedicated analysis was performed to understand these backgrounds and event selections were developed to mitigate them. This thesis presents details of the characterization and results from a search for light dark matter using only the single- and few-electron ionization signals in the XENON1T detector. These liquid xenon detectors are leading in sensitivity to search for rare events. With various detector upgrades, XENONnT has improved sensitivity to low-energy interactions with signals as low as a single detected electron. This allows XENONnT to be able to detect neutrinos of all flavors from potential Galactic supernovae via coherent elastic neutrino-nucleus scattering (CEvNS). This thesis presents an overview of the capability of XENONnT to detect supernova neutrinos via CEvNS. This allows XENONnT to be the first direct detection dark matter experiment to directly participate in the SuperNova Early Warning System.Amanda Leigh Depoianwork_vq5k42ttkncz3cd3dzngih2p5eWed, 07 Dec 2022 00:00:00 GMTTowards Energy Efficient Mobile Eye Tracking for AR Glasses through Optical Sensor Technology
https://scholar.archive.org/work/ukehdpexyfhqhftqi7mo4eifx4
After the introduction of smartphones and smartwatches, AR glasses are considered the next breakthrough in the field of wearables. While the transition from smartphones to smartwatches was based mainly on established display technologies, the display technology of AR glasses presents a technological challenge. Many display technologies, such as retina projectors, are based on continuous adaptive control of the display based on the user's pupil position. Furthermore, head-mounted systems require an adaptation and extension of established interaction concepts to provide the user with an immersive experience. Eye-tracking is a crucial technology to help AR glasses achieve a breakthrough through optimized display technology and gaze-based interaction concepts. Available eye-tracking technologies, such as VOG, do not meet the requirements of AR glasses, especially regarding power consumption, robustness, and integrability. To further overcome these limitations and push mobile eye-tracking for AR glasses forward, novel laser-based eye-tracking sensor technologies are researched in this thesis. The thesis contributes to a significant scientific advancement towards energy-efficient mobile eye-tracking for AR glasses.Johannes Meyerwork_ukehdpexyfhqhftqi7mo4eifx4Tue, 06 Dec 2022 00:00:00 GMTSupermassive Black Hole Winds in X-rays – SUBWAYS. I. Ultra-fast outflows in QSOs beyond the local Universe
https://scholar.archive.org/work/kp3qwgb6yne63i3wyxn4uh7see
We present a new X-ray spectroscopic study of 22 luminous (2×10^45≲ L_ bol /erg s^-1≲ 2×10^46) active galactic nuclei (AGNs) at intermediate-redshift (0.1 ≲ z ≲ 0.4), as part of the SUpermassive Black hole Winds in the x-rAYS (SUBWAYS) sample, mostly composed of quasars (QSOs) and type 1 AGN. Here, 17 targets were observed with XMM-Newton between 2019–2020 and the remaining 5 are from previous observations. The aim of this large campaign (1.45 Ms duration) is to characterise the various manifestations of winds in the X-rays driven from supermassive black holes in AGN. In this paper we focus on the search and characterization of ultra-fast outflows (UFOs), which are typically detected through blueshifted absorption troughs in the Fe K band (E>7 keV). By following Monte Carlo procedures, we confirm the detection of absorption lines corresponding to highly ionised iron (e.g., Fe xxv Hα, Fe xxvi Lyα) in 7/22 sources at the ≳95% confidence level (for each individual line). The global combined probability of such absorption features in the sample is >99.9%. The SUBWAYS campaign extends at higher luminosity and redshifts than previous local studies on Seyferts, obtained using and observations. We find a UFO detection fraction of ∼30% on the total sample that is in agreement with the previous findings. This work independently provides further support for the existence of highly-ionised matter propagating at mildly relativistic speed (≳0.1c) in a considerable fraction of AGN over a broad range of luminosities, which is expected to play a key role in the self-regulated AGN feeding-feedback cycle, as also supported by hydrodynamical multiphase simulations.G. A. Matzeu, M. Brusa, G. Lanzuisi, M. Dadina, S. Bianchi, G. Kriss, M. Mehdipour, E. Nardini, G. Chartas, R. Middei, E. Piconcelli, V. Gianolli, A. Comastri, A. L. Longinotti, Y. Krongold, F. Ricci, P. O. Petrucci, F. Tombesi, A. Luminari, L. Zappacosta, G. Miniutti, M. Gaspari, E. Behar, M. Bischetti, S. Mathur, M. Perna, M. Giustini, P. Grandi, E. Torresi, C. Vignali, G. Bruni, M. Cappi, E. Costantini, G. Cresci, B. De Marco, A. De Rosa, R. Gilli, M. Guainazzi, J. Kaastra, S. Kraemer, F. La Franca, A. Marconi, F. Panessa, G. Ponti, D. Proga, F. Ursini, F. Fiore, A. R. King, R. Maiolino, G. Matt, A. Merloniwork_kp3qwgb6yne63i3wyxn4uh7seeTue, 06 Dec 2022 00:00:00 GMTParallel harmonic balance method for analysis of nonlinear mechanical systems
https://scholar.archive.org/work/xbubqhp6dncr5ee4vmzam3u74y
Mechanical vibration analysis and modelling are essential tools used in the design of various mechanical components and structures. In the case of turbine engine design specifically, the ability to accurately predict vibration of various parts is crucial to ensure their safe operation while maintaining efficiency. As the designs become increasingly complex and margins for errors get smaller, high fidelity numerical vibration models are necessary for their analysis. Research of parallel algorithms has progressed significantly in the last decades, thanks to the exponential growth of the world's available computational resources. This work explores the possibilities for parallel implementations for solving large scale nonlinear vibration problems. A C++ code using MPI was developed to validate these implementations in practice. The harmonic balance method is used in combination with finite elements discretisation and applied to an elastic body with the Green-Lagrange nonlinear model for large deformations. A parameter continuation scheme using a predictor-corrector approach is included to compute frequency response functions. A Newton-Raphson solver is used to solve the bordered nonlinear system of equations in the frequency domain. Three different parallel algorithms for solving the linearised problem in each Newton iteration are analysed - a sparse direct solver (using MUMPS library), GMRES (using PETSc library) and an inhouse implementation of FETI. The performance of the solvers is analysed using beam testcases and a fan blade geometry. Scalability of MUMPS and the FETI solver is assessed. Full nonlinear frequency response functions with turning points are also computed. Use of artificial coarse space and preconditioning in FETI is discussed as it greatly impacts convergence properties of the solver. The presented parallel linear solvers show promising scalability results and an ability to solve nonlinear systems of several million degrees of freedom.Jiri Blahos, Loïc Salles, Fadi El Haddad, Christoph Schwingshackl, Europeon Unionwork_xbubqhp6dncr5ee4vmzam3u74yMon, 05 Dec 2022 00:00:00 GMTPerformance of a convolutional autoencoder designed to remove electronic noise from p-type point contact germanium detector signals
https://scholar.archive.org/work/ft2junflwbhcxpfgxgy2iig7ea
We present a convolutional autoencoder to denoise pulses from a p-type point contact high-purity germanium detector similar to those used in several rare event searches. While we focus on training procedures that rely on detailed detector physics simulations, we also present implementations requiring only noisy detector pulses to train the model. We validate our autoencoder on both simulated data and calibration data from an ^241Am source, the latter of which is used to show that the denoised pulses are statistically compatible with data pulses. We demonstrate that our denoising method is able to preserve the underlying shapes of the pulses well, offering improvement over traditional denoising methods. We also show that the shaping time used to calculate energy with a trapezoidal filter can be significantly reduced while maintaining a comparable energy resolution. Under certain circumstances, our denoising method can improve the overall energy resolution. The methods we developed to remove electronic noise are straightforward to extend to other detector technologies. Furthermore, the latent representation from the encoder is also of use in quantifying shape-based characteristics of the signals. Our work has great potential to be used in particle physics experiments and beyond.Mark R. Anderson, Vasundhara Basu, Ryan D. Martin, Charlotte Z. Reed, Noah J. Rowe, Mehdi Shafiee, Tianai Yework_ft2junflwbhcxpfgxgy2iig7eaFri, 02 Dec 2022 00:00:00 GMTLinguistic Knowledge for Neural Language Generation and Machine Translation
https://scholar.archive.org/work/r3gj2tpamba6pkm6xtv2rxwdpi
Recurrent neural networks (RNNs) are exceptionally good models of distributions over natural language sentences, and they are deployed in a wide range of applications that require the generation of natural language outputs. However, RNNs are general-purpose function learners that, given sufficient capacity, are capable of representing any distribution, whereas the space of possible natural languages is narrowly constrained. Linguistic theory has been concerned with characterizing these constraints, with a particular eye toward explaining the uniformity with which children acquire their first languages, despite receiving relatively little linguistic input. This thesis uses insights from linguistic theory to inform the neural architectures and generation processes used to model natural language, seeking models that make more effective use of limited amounts of training data. Since linguistic theories are incomplete, a central goal is developing models that are able to exploit explicit linguistic knowledge while still retaining the generality and flexibility of the neural network models they augment. This thesis examines two linguistic domains: word formation and sentence structure. First, in the word formation domain, we introduce a language model that captures subword word formation using linguistic knowledge about morphological processes via finite state analyzers hand-crafted by linguistic experts. Our model is capable of using several levels of granularity, including the raw word-, character- and morpheme-levels to encode and condition on previous words as well as to construct its predicted next word. As a result, it is fully open vocabulary, capable of producing any token admitted by a language's alphabet. These properties make it ideal for modelling languages with potentially unbounded vocabulary size, such as Turkish and Finnish. Second, in the sentence structure domain, we present a pair of dependency-based language models, leveraging syntactic theories that construct sequences of words as the outputs of hi [...]Austin Matthewswork_r3gj2tpamba6pkm6xtv2rxwdpiFri, 02 Dec 2022 00:00:00 GMTEfficient and Accurate Non-Metric k-NN Search with Applications to Text Matching
https://scholar.archive.org/work/jbz5u37355hkhlddlg3f4bihsq
In this thesis we advance state-of-the-art of the non-metric k-NN search by carrying out an extensive empirical evaluation (both and intrinsic) of generic methods for k-NN search. This work contributes to establishing a collection of strong benchmarks for data sets with generic distances. We start with intrinsic evaluations and demonstrate that non metric k-NN search is a practical and reasonably accurate tool for a wide variety of complex distances. However, somewhat surprisingly, achieving good performance does not require distance mapping/proxying via metric learning or distance symmetrization. Existing search methods can often work directly with non-metric and non-symmetric distances. They outperform the filter-and-refine approach relying on the distance symmetrization in the filtering step. Intrinsic evaluations are complemented with extrinsic evaluations in a realistic text retrieval task. In doing so, we make a step towards replacing/complementing classic term-based retrieval with a generic k-NN search algorithm. To this end we use a similarity function that takes into account subtle term associations, which are learned from a parallel monolingual corpus. An exact brute-force k-NN search using this similarity function is quite slow. We show that an approximate search algorithm can be 100-300 times faster at the expense of only a small loss in accuracy (10%). On one data set, a retrieval pipeline using an approximate k-NN search is twice as efficient as the C++ baseline while being as accurate as the Lucene-based fusion pipeline. We note, however, that it is necessary to compare our methods against more recent ranking algorithms. The thesis is concluded with a summary of learned lessons and open research questions (relevant to this work). We also discuss potential challenges facing a retrieval system designer.Leonid Boytsovwork_jbz5u37355hkhlddlg3f4bihsqFri, 02 Dec 2022 00:00:00 GMTDiagnosing and monitoring asthma using the Forced Oscillation Technique in children under 5 years with wheeze
https://scholar.archive.org/work/hj76lw2jgrbxvinynap2xemfca
The assessment of lung function in young children is helpful to the diagnosis, treatment, and management of paediatric respiratory disease. Since measuring lung function for such patients can be challenging, specific lung function tests for this age group have been developed, including Forced Oscillation Technique (FOT), a non-invasive method of measuring respiratory impedance (Zrs), requiring minimal cooperation from the patient. Aims: To investigate feasibility and the application of FOT in preschool children with wheeze; and to assessed bronchodilator response (BDR) in children with acute wheeze. Methods: Preschool children with physician-diagnosed asthma were recruited from the Asthma Clinic, ED and Children's ward at Leicester Royal Infirmary Hospital. Following a standardized physical examination, three measurements of respiratory resistance and reactance by forced oscillation were attempted. Results: Twenty of twenty-four stable preschool children with wheeze are able to successfully complete the forced oscillation technique. Thirteen of 39 of preschool children with acute wheeze performed FOT using airwaveoscillometry system (AOS) 7-41 with good quality control and CoV ≤ 15%. Children with acute wheeze had statistically significantly higher Rrs7, Rrs7 zscore, Rrs7-20 and Ax7, and lower Xrs7 and Xrs7 z-score compared to healthy children. The average of bronchodilator response on preschool children with acute wheeze was -18% for Rrs7, -47% for Rrs7-20, 33% for Xrs7 and -17% for Ax7. Conclusion: These findings highlight the FOT (AOS 7-41 Hz) is feasible in preschool children for routine testing of lung function and in ED. In addition, this study demonstrates that more work is required to understand the value of FOT to differentiate preschool children with acute wheeze from healthy children due to the overlap between individual participants in acute wheeze and healthy groups on FOT parameters. However, there are significant differences between children with physician diagnosis of acute wheeze and [...]Malak O. Alshlowiwork_hj76lw2jgrbxvinynap2xemfcaWed, 30 Nov 2022 00:00:00 GMTOOD-DiskANN: Efficient and Scalable Graph ANNS for Out-of-Distribution Queries
https://scholar.archive.org/work/uqac3k5w75evta5gqiwmhvvt6a
State-of-the-art algorithms for Approximate Nearest Neighbor Search (ANNS) such as DiskANN, FAISS-IVF, and HNSW build data dependent indices that offer substantially better accuracy and search efficiency over data-agnostic indices by overfitting to the index data distribution. When the query data is drawn from a different distribution - e.g., when index represents image embeddings and query represents textual embeddings - such algorithms lose much of this performance advantage. On a variety of datasets, for a fixed recall target, latency is worse by an order of magnitude or more for Out-Of-Distribution (OOD) queries as compared to In-Distribution (ID) queries. The question we address in this work is whether ANNS algorithms can be made efficient for OOD queries if the index construction is given access to a small sample set of these queries. We answer positively by presenting OOD-DiskANN, which uses a sparing sample (1% of index set size) of OOD queries, and provides up to 40% improvement in mean query latency over SoTA algorithms of a similar memory footprint. OOD-DiskANN is scalable and has the efficiency of graph-based ANNS indices. Some of our contributions can improve query efficiency for ID queries as well.Shikhar Jaiswal, Ravishankar Krishnaswamy, Ankit Garg, Harsha Vardhan Simhadri, Sheshansh Agrawalwork_uqac3k5w75evta5gqiwmhvvt6aWed, 30 Nov 2022 00:00:00 GMTmtech cs
https://scholar.archive.org/work/nz6hguod45g43iusw23ipyhbii
mtech cs 19Verannawork_nz6hguod45g43iusw23ipyhbiiWed, 30 Nov 2022 00:00:00 GMTThe Second Radio Synchrotron Background Workshop: Conference Summary and Report
https://scholar.archive.org/work/ftvkdckcfzb67b6tq2bwmsvjqu
We summarize the second radio synchrotron background workshop, which took place June 15-17, 2022 in Barolo, Italy. This meeting was convened because available measurements of the diffuse radio zero level continue to suggest that it is several times higher than can be attributed to known Galactic and extragalactic sources and processes, rendering it the least well understood electromagnetic background at present and a major outstanding question in astrophysics. The workshop agreed on the next priorities for investigations of this phenomenon, which include searching for evidence of the Radio Sunyaev-Zeldovich effect, carrying out cross-correlation analyses of radio emission with other tracers, and supporting the completion of the 310 MHz absolutely calibrated sky map project.J. Singal, N. Fornengo, M. Regis, G. Bernardi, D. Bordenave, E. Branchini, N. Cappelluti, A. Caputo, I.P. Carucci, J. Chluba, A. Cuoco, C. DiLullo, A. Fialkov, C. Hale, S.E. Harper, S. Heston, G. Holder, A. Kogut, M.G.H. Krause, J.P. Leahy, S. Mittal, R.A. Monsalve, G. Piccirilli, E. Pinetti, S. Recchia, M. Taoso, E. Todarellowork_ftvkdckcfzb67b6tq2bwmsvjquTue, 29 Nov 2022 00:00:00 GMTProcedural Image Programs for Representation Learning
https://scholar.archive.org/work/ov4vodfu6rddtif5h36yud53da
Learning image representations using synthetic data allows training neural networks without some of the concerns associated with real images, such as privacy and bias. Existing work focuses on a handful of curated generative processes which require expert knowledge to design, making it hard to scale up. To overcome this, we propose training with a large dataset of twenty-one thousand programs, each one generating a diverse set of synthetic images. These programs are short code snippets, which are easy to modify and fast to execute using OpenGL. The proposed dataset can be used for both supervised and unsupervised representation learning, and reduces the gap between pre-training with real and procedurally generated images by 38%.Manel Baradad, Chun-Fu Chen, Jonas Wulff, Tongzhou Wang, Rogerio Feris, Antonio Torralba, Phillip Isolawork_ov4vodfu6rddtif5h36yud53daTue, 29 Nov 2022 00:00:00 GMT2019
https://scholar.archive.org/work/wcy47hfvvvdwvfgnwx2cuak4ze
On completion of this course, students will have knowledge in: • CO1.Basics of electrochemistry. Classical & modern batteries and fuel cells. CO2. Causes & effects of corrosion of metals and control of corrosion. Modification of surface properties of metals to develop resistance to corrosion, wear, tear, impact etc. by electroplating and electroless plating. CO3. Production & consumption of energy for industrialization of country and living standards of people. Utilization of solar energy for different useful forms of energy. CO4. Understanding Phase rule and instrumental techniques and its applications. CO5.Over viewing of synthesis, properties and applications of nanomaterials.BTECH.CSwork_wcy47hfvvvdwvfgnwx2cuak4zeMon, 28 Nov 2022 00:00:00 GMT2021
https://scholar.archive.org/work/ggji2kgovvhtlh6nq7bk7mukh4
Module 2 Interaction of radiation with matter -Absorption-Spontaneous emission -Stimulated emission-Einstein's coefficients (expression for energy density). Requisites of a Laser system. Condition for laser action. Principle, Construction and working of He-Ne laser. Propagation mechanism in optical fibers. Angle of acceptance. Numerical aperture. Types of optical fibers-Step index and Graded index fiber. Modes of propagation-Single mode and Multimode fibers. Attenuation-Attenuation mechanisms. Teaching Methodology: Chalk and talk method: Interaction of radiation with matter -Absorption-Spontaneous emission -Stimulated emission-Einstein's coefficients (expression for energy density). Requisites of a Laser system. Condition for laser action. Propagation mechanism in optical fibers. Angle of acceptance. Numerical aperture. Powerpoint presentation: Types of optical fibers-Step index and Graded index fiber. Modes of propagation-Single mode and Multimode fibers. Video: Construction and working of He-Ne laser. Self-study material: Attenuation-Attenuation mechanisms. 9 Hours Module 3 Temperature dependence of resistivity in metals and superconducting materials. Effect of magnetic field (Meissner effect). Isotope effect -Type I and Type II superconductors-Temperature dependence of critical field. BCS theory (qualitative). High temperature superconductors-Josephson effect -SQUID-Applications of superconductors-Maglev vehicles (qualitative). Magnetic dipole-dipole moment-flux density-magnetic field intensity-Intensity of magnetization-magnetic permeability-susceptibility-relation between permeability and susceptibility. Classification of magnetic materials-Dia, Para, Ferromagnetism. Hysteresis-soft and hard magnetic materials. Teaching Methodology: Chalk and talk method: Temperature dependence of resistivity in metals and superconducting materials. Effect of magnetic field (Meissner effect). Isotope effect -Type I and Type II superconductors-Temperature dependence of critical field. BCS theory (qualitative). High temperature superconductors-Powerpoint presentation: Josephson effect -SQUID-Applications of superconductors. Magnetic dipole-dipole moment-flux density-magnetic field intensity-Intensity of magnetization-magnetic permeability-susceptibility-relation between permeability and susceptibility. Hysteresis-soft and hard magnetic materials. Video: Maglev vehicles (qualitative). Self-study material: Classification of magnetic materials-Dia, Para, Ferromagnetism 9 Hours Module 4 Amorphous and crystalline materials-Space lattice, Bravais lattice-Unit cell, primitive cell. Lattice parameters. Crystal systems. Direction and planes in a crystal. Miller indices -Determination of Miller indices of a plane. Expression for inter -planar spacing. Atoms per unit cell -Co-ordination number. Relation between atomic radius and lattice constant -Atomic packing factors (SC, FCC, BCC). Bragg's law. Determination of crystal structure using Bragg's X-ray diffractometer -X-ray spectrum. Teaching Methodology: Chalk and talk method: Direction and planes in a crystal. Miller indices -Determination of Miller indices of a plane. Powerpoint presentation: Atoms per unit cell -Co-ordination number. Relation between atomic radius and lattice constant -Atomic packing factors (SC, FCC, BCC). Bragg's law. Determination of crystal structure using Bragg's X-ray diffractometer -X-ray spectrum. Self-study material: Amorphous and crystalline materials-Space lattice, Bravais lattice-Unit cell, primitive cell. Lattice parameters. Crystal systems. 9 Hours Module 5 Interference of light -Superposition of two coherent waves-Constructive and destructive interference. Interference in thin films -Wedge shaped thin film-Air wedge -Application to find the diameter of a thin wire. Newton's rings -Application to find the refractive index of a liquid. Diffraction of light -Classes of diffraction -Fresnel and Fraunhofer diffraction. Fresnel theory of half period zone -Zone plate. Diffraction grating -Grating element -Grating equation -Construction of grating-Reflection and transmission grating. Teaching Methodology: Chalk and talk method: Interference of light -Superposition of two coherent waves-Constructive and destructive interference. Powerpoint presentation: Interference in thin films -Wedge shaped thin film-Air wedge -Application to find the diameter of a thin wire. Newton's rings -Application to find the refractive index of a liquid. Fresnel theory of half period zone -Zone plate. Diffraction grating -Grating element -Grating equation -Construction of grating-Reflection and transmission grating. Self-study material: Diffraction of light -Classes of diffraction -Fresnel and Fraunhofer diffraction. 9 Hours C PROGRAMMING Subject Code 21SCS12 IA Marks 50 Number of Lecture Hours/Week 2 (L) + 2 (T) Exam Marks 50 Total Number of Lecture Hours 45 Total Marks 100 Credits 03 Exam Hours 2 Course Objectives: 1. To understand the various steps in program development. 2. To learn the syntax and semantics of C programming language. 3. To learn the usage of structured programming approach in solving problems. Course Outcomes: CO1: On completion of this course students will be able to write algorithms and to draw flowcharts for solving problems. CO2: On completion of this course students will be able to convert the algorithms/flowcharts to C programs. CO3: Students will be able to code and test a given logic in C programming language. CO4: Students will be able to decompose a problem into functions and to develop modular reusable code. CO5: Students will be able to use arrays, pointers, strings and structures to write C programs. Module 1 Introduction to Algorithms: Steps to solve logical and numerical problems. Representation of Algorithm, Flowchart/Pseudo code with examples, Program design and structured programming Introduction to C Programming Language: variables, Syntax and Logical Errors in compilation, object and executable code, Operators, expressions and precedence, Expression evaluation, Storage classes, type conversion, The main method and command line arguments. Bitwise operations: Bitwise AND, OR, XOR and NOT operators. Conditional Branching and Loops: Writing and evaluation of conditionals and consequent branching with if, if-else, switch-case, ternary operator, goto, Iteration with for, while, do-while loops I/O: Simple input and output with scanf and printf, formatted I/O, Introduction to stdin, stdout and stderr. Command line arguments. Teaching Methodology: Chalk and talk using PPT and Demo to explain the concept. 9 Hours Module 2 Arrays, Strings, Structures and Pointers: Arrays: one and two-dimensional arrays, creating, accessing and manipulating elements of arrays. Strings: Introduction to strings, handling strings as array of characters, basic string functions available in C (strlen, strcat, strcpy, strstr etc.), arrays of strings. Structures: Defining structures, initializing structures, unions, Array of structures. Pointers: Idea of pointers, Defining pointers, Pointers to Arrays and Structures, Use of Pointers in self referential structures, usage of self referential structures in linked list (no implementation) Enumeration data type. Teaching Methodology: Chalk and talk using PPT and Demo to explain the concept. Module 3 9 Hours Preprocessor and File handling in C: Preprocessor: Commonly used Preprocessor commands like include, define, undef, if, ifdef, ifndef Files: Text and Binary files, Creating and Reading and writing text and binary files, Appending data to existing files, Writing and reading structures using binary files, Random access using fseek, ftell and rewind functions. Teaching Methodology: Chalk and talk using PPT and Demo to explain the concept. 9 Hours Module 4 Function and Dynamic Memory Allocation: Functions: Designing structured programs, Declaring a function, Signature of a function, Parameters and return type of a function, passing parameters to functions, call by value, Passing arrays to functions, passing pointers to functions, idea of call by reference, Some C standard functions and libraries Recursion: Simple programs, such as Finding Factorial, Fibonacci series etc., Limitations of Recursive functions. Dynamic memory allocation: Allocating and freeing memory, Allocating memory for arrays of different data types. Teaching Methodology: Chalk and talk using PPT and Demo to explain the concept. 9 Hours Module 5 C PROGRAMMING LABORATORY Subject Code 21SCSL12 IA Marks 25 Number of Practical Hours/Week 1 (T) + 2 (L) Exam Marks 25 Total Number of Practical Hours 36 Total Marks 50 Credits 02 Exam Hours 3 Course Objectives: 1. To describe the basics of computer and understand the problem-solving aspect. 2. To demonstrate the algorithm and flow chart for the given problem. 3. To introduce students to the basic knowledge of programming fundamentals of C language. 4. To impart writing skill of C programming to the students and solving problems. 5. To impart the concepts like looping, array, functions, pointers, file, structure. Course Outcomes: CO1: Understand the problem solving to write efficient algorithms to solve real time problems. CO2: Understand and use various constructs of the programming language such as conditionals, iteration, and recursion. CO3: Implement your algorithms to build programs in the C programming language. CO4: Use data structures like arrays, linked lists, and stacks to solve various problems. CO5: Understand and use file handling in the C programming language. EXPERIMENTS: Implement the following programs with WINDOWS / LINUX platform using appropriate C compiler. Course Objectives: 1. To provide basic concepts D.C circuits and circuit analysis techniques 2. To provide knowledge on A.C circuit fundamental techniques 3. To understand construction and operation of BJT and Junction FET 4. Explain the different modes of communications from wired to wireless and the computing involved. 5. To provide fundamental knowledge of Digital Logic. Course Outcomes: CO1: Understand concepts of electrical circuits and elements. CO2: Apply basic electric laws in solving circuit problems. CO3: Analyze simple circuits containing transistors CO4: Understand concept of cellular wireless networks. CO5: Understand Number systems and design basic digital circuits.BTECH.MECHwork_ggji2kgovvhtlh6nq7bk7mukh4Mon, 28 Nov 2022 00:00:00 GMT2021
https://scholar.archive.org/work/n7rhmaerpvfrhha4draeqwscs4
Course Objectives: 1. Learn and understand basic concepts and principles of Physics. 2. Make students familiar with latest trends in material science research and learn about novel materials and its applications. 3. Make students confident in analyzing engineering problems and apply its solutions effectively and meaningfully. 4. Gain knowledge in interference and diffraction of light and its applications in new technology. Course Outcomes: CO1: Learn and understand more about basic principles and to develop problem solving skills and implementation in technology. CO2: Study material properties and their application and its use in engineering applications and studies. CO3: Understand crystal structure and applications to boost the technical skills and its applications. CO4: Apply light phenomena in new technology. Module 1 Classical free electron theory-Free-electron concept (Drift velocity, Thermal velocity, Mean collision time, Mean free path, relaxation time) -Expression for electrical conductivity-Failure of classical free electron theory. Quantum free electron theory, Assumptions, Fermi factor, Fermi-Dirac Statistics. Expression for electrical conductivity based on quantum free electron theory. Merits of quantum free electron theory. Temperature dependence of electrical resistivity -Specific heat -Thermionic emission. Hall effect (Qualitative) -Wiedemann-Franz law. Teaching Methodology: Chalk and talk method: Classical free electron theory-Free-electron concept (Drift velocity, Thermal velocity, Mean collision time, Mean free path, relaxation time) -Expression for electrical conductivity-Failure of classical free electron theory. Powerpoint presentation: Quantum free electron theory, Assumptions, Fermi factor, Fermi-Dirac Statistics. Expression for electrical conductivity based on quantum free electron theory. Merits of quantum free electron theory. Temperature dependence of electrical resistivity -Specific heat -Thermionic emission. Wiedemann-Franz law. Self-study material: Hall effect (Qualitative) 9 Hours Module 2 Interaction of radiation with matter -Absorption-Spontaneous emission -Stimulated emission-Einstein's coefficients (expression for energy density). Requisites of a Laser system. Condition for laser action. Principle, Construction and working of He-Ne laser. Propagation mechanism in optical fibers. Angle of acceptance. Numerical aperture. Types of optical fibers-Step index and Graded index fiber. Modes of propagation-Single mode and Multimode fibers. Attenuation-Attenuation mechanisms. Teaching Methodology: Chalk and talk method: Interaction of radiation with matter -Absorption-Spontaneous emission -Stimulated emission-Einstein's coefficients (expression for energy density). Requisites of a Laser system. Condition for laser action. Propagation mechanism in optical fibers. Angle of acceptance. Numerical aperture. Powerpoint presentation: Types of optical fibers-Step index and Graded index fiber. Modes of propagation-Single mode and Multimode fibers. Video: Construction and working of He-Ne laser. Self-study material: Attenuation-Attenuation mechanisms. 9 Hours Module 3 Temperature dependence of resistivity in metals and superconducting materials. Effect of magnetic field (Meissner effect). Isotope effect -Type I and Type II superconductors-Temperature dependence of critical field. BCS theory (qualitative). High temperature superconductors-Josephson effect -SQUID-Applications of superconductors-Maglev vehicles (qualitative). Magnetic dipole-dipole moment-flux density-magnetic field intensity-Intensity of magnetization-magnetic permeability-susceptibility-relation between permeability and susceptibility. Classification of magnetic materials-Dia, Para, Ferromagnetism. Hysteresis-soft and hard magnetic materials. Teaching Methodology: Chalk and talk method: Temperature dependence of resistivity in metals and superconducting materials. Effect of magnetic field (Meissner effect). Isotope effect -Type I and Type II superconductors-Temperature dependence of critical field. BCS theory (qualitative). High temperature superconductors-Powerpoint presentation: Josephson effect -SQUID-Applications of superconductors. Magnetic dipole-dipole moment-flux density-magnetic field intensity-Intensity of magnetization-magnetic permeability-susceptibility-relation between permeability and susceptibility. Hysteresis-soft and hard magnetic materials. Video: Maglev vehicles (qualitative). Self-study material: Classification of magnetic materials-Dia, Para, Ferromagnetism 9 Hours Module 4 Amorphous and crystalline materials-Space lattice, Bravais lattice-Unit cell, primitive cell. Lattice parameters. Crystal systems. Direction and planes in a crystal. Miller indices -Determination of Miller indices of a plane. Expression for interplanar spacing. Atoms per unit cell -Co-ordination number. Relation between atomic radius and lattice constant -Atomic packing factors (SC, FCC, BCC). Bragg's law. Determination of crystal structure using Bragg's X-ray diffractometer -X-ray spectrum. Teaching Methodology: Chalk and talk method: Direction and planes in a crystal. Miller indices -Determination of Miller indices of a plane. Powerpoint presentation: Atoms per unit cell -Co-ordination number. Relation between atomic radius and lattice constant -Atomic packing factors (SC, FCC, BCC). Bragg's law. Determination of crystal structure using Bragg's X-ray diffractometer -X-ray spectrum. Self-study material: Amorphous and crystalline materials-Space lattice, Bravais lattice-Unit cell, primitive cell. Lattice parameters. Crystal systems. 9 Hours Module 5 Interference of light -Superposition of two coherent waves-Constructive and destructive interference. Interference in thin films -Wedge shaped thin film-Air wedge -Application to find the diameter of a thin wire. Newton's rings -Application to find the refractive index of a liquid. Diffraction of light -Classes of diffraction -Fresnel and Fraunhofer diffraction. Fresnel theory of half period zone -Zone plate.BTECH.CSwork_n7rhmaerpvfrhha4draeqwscs4Mon, 28 Nov 2022 00:00:00 GMT2021
https://scholar.archive.org/work/zcptjnj56ndzpdejmircducjeu
2021-AI & MLAI & MLwork_zcptjnj56ndzpdejmircducjeuMon, 28 Nov 2022 00:00:00 GMT2017
https://scholar.archive.org/work/3hgrcx5qbfchtd65wcd4pjlp7a
Teaching Exam Credits Theory Tutorial Lab IA Exam TOTAL 1 17SCS71 Management and Analysis of Big Data 4 50 Polar curves: angle between radius vector and tangent, angle between two polar curves pedal equation of SRINIVAS UNIVERSITY ENGINEERING MATHEMATICS-II SEMESTER -II Subject Code : 17SMA21 IA Marks : 50 Number of lecture hours/week : 04 Exam Marks : 50 Total number of lecture hours : 50 Credits : 04 Course objectives: To enable students to apply the knowledge of Mathematics in various engineering fields by making them to learn the following 1. Ordinary differential equations 2. Partial differential equations 3. Double and triple integration 4. Laplace transform 5. Nonlinear differential equations Course outcomes: CO1: To solve differential equations. CO2: Solve the problems choosing the most suitable method. CO3. Solving problems analytically CO4: Solve curve fitting for various polynomials. CO5: Use computational tools to solve problems and applications of Ordinary Differential Equations and Partial Differential Equations Module -1 10 hours Differential equations-1: Linear differential equations with constant coefficients: Solutions of second and higher order differential equations -inverse differential operator method, method of undetermined coefficients and method of variation of parameters. Module -2 10 hours Differential equations-2: Linear differential equations with variable coefficients: Solution of Cauchy's and Legendre's linear differential equations. Nonlinear differential equations: Equations solvable for p, equations solvable for y, equations solvable for x, general and singular solutions, Clairauit's equations and equations reducible to Clairauit's form. Module -3 10 hours Module -3 10 hours Optics: Interference of light-condition for constructive and destructive interference-Diffraction-Fresnel and Fraunhoffer diffraction-Polarization methods for the production of polarized light. Einstein's coefficients (expression for energy density). Requisites of a Laser system. Condition for laser action. Principle, Construction and working of He-Ne laser Holography-Principle of Recording and reconstruction of images. Propagation mechanism in optical fibers. Angle of acceptance. Numerical aperture. Types of optical fibers and modes of propagation. Attenuation, Block diagram discussion of point to point communication, applications. Module -4 10 hours Crystal Structure: Space lattice, Bravais lattice-Unit cell, primitive cell. Lattice parameters. Crystal systems. Direction and planes in a crystal. Miller indices. Expression for interplanar spacing. Coordination number. Atomic packing factors (SC, FCC, BCC). Bragg's law, Determination of crystal structure using Bragg's X-ray diffractometer. Polymorphism and Allotropy. Crystal Structure of Diamond. Module -5 10 hours ELEMENTS OF ELECTRONICS ENGINEERING Subject Code 17SEC13/23 IA Marks 50 Number of lecture hours/week 04 Exam Marks 50 Total number of lecture hours 50 Credits 04 Course Objectives: 1. To provide basic concepts D.C circuits and circuit analysis techniques 2. To provide knowledge on A.C circuit fundamental techniques 3. To understand construction and operation of BJT and Junction FET 4. Explain the different modes of communications from wired to wireless and the computing involved. 5. To provide fundamental knowledge of Digital Logic. Course Outcomes: CO1: Understand concepts of electrical circuits and elements. CO2: Apply basic electric laws in solving circuit problems. CO3: Analyse simple circuits containing transistors CO4: Understand concept of cellular wireless networks. CO5: Understand Number systems and design basic digital circuits.BTECH.CSwork_3hgrcx5qbfchtd65wcd4pjlp7aMon, 28 Nov 2022 00:00:00 GMTSignificance Mode Analysis (SigMA) for hierarchical structures. An application to the Sco-Cen OB association
https://scholar.archive.org/work/ajbcyivtynbjdc23zc3oqph4q4
We present a new clustering method, Significance Mode Analysis (SigMA), to extract co-spatial and co-moving stellar populations from large-scale surveys such as ESA Gaia. The method studies the topological properties of the density field in the multidimensional phase space. We validate SigMA on simulated clusters and find that it outperforms competing methods, especially in cases where many clusters are closely spaced. We apply the new method to Gaia DR3 data of the closest OB association to Earth, Scorpio-Centaurus (Sco-Cen), and find more than 13,000 co-moving young objects, with about 19 sub-stellar mass. SigMA finds 37 co-moving clusters in Sco-Cen. These clusters are independently validated by their narrow HRD sequences and, to a certain extent, by their association with massive stars too bright for Gaia, hence unknown to SigMA. We compare our results with similar recent work and find that the SigMA algorithm recovers richer populations, is able to distinguish clusters with velocity differences down to about 0.5 km s^-1, and reaches cluster volume densities as low as 0.01 sources/pc^3. The 3D distribution of these 37 coeval clusters implies a larger extent and volume for the Sco-Cen OB association than typically assumed in the literature. Additionally, we find the association to be more actively star-forming and dynamically more complex than previously thought. We confirm that the star-forming molecular clouds in the Sco-Cen region, namely, Ophiuchus, L134/L183, Pipe Nebula, Corona Australis, Lupus, and Chamaeleon, are part of the Sco-Cen The application of SigMA to Sco-Cen demonstrates that advanced machine learning tools applied to the superb Gaia data allows to construct an accurate census of the young populations, to quantify their dynamics, and to reconstruct the recent star formation history of the local Milky Way.Sebastian Ratzenböck, Josefa E. Großschedl, Torsten Möller, João Alves, Immanuel Bomze, Stefan Meingastwork_ajbcyivtynbjdc23zc3oqph4q4Fri, 25 Nov 2022 00:00:00 GMTA Model and Survey of Distributed Data-Intensive Systems
https://scholar.archive.org/work/dhtpeqfgwbgmnl3baeb3wlzdmy
Data is a precious resource in today's society, and is generated at an unprecedented and constantly growing pace. The need to store, analyze, and make data promptly available to a multitude of users introduces formidable challenges in modern software platforms. These challenges radically transformed all research fields that gravitate around data management and processing, with the introduction of distributed data-intensive systems that offer new programming models and implementation strategies to handle data characteristics such as its volume, the rate at which it is produced, its heterogeneity, and its distribution. Each data-intensive system brings its specific choices in terms of data model, usage assumptions, synchronization, processing strategy, deployment, guarantees in terms of consistency, fault tolerance, ordering. Yet, the problems data-intensive systems face and the solutions they propose are frequently overlapping. This paper proposes a unifying model that dissects the core functionalities of data-intensive systems, and precisely discusses alternative design and implementation strategies, pointing out their assumptions and implications. The model offers a common ground to understand and compare highly heterogeneous solutions, with the potential of fostering cross-fertilization across research communities and advancing the field. We apply our model by classifying tens of systems: an exercise that brings to interesting observations on the current trends in the domain of data-intensive systems and suggests open research directions.Alessandro Margara, Gianpaolo Cugola, Nicolò Felicioni, Stefano Cilloniwork_dhtpeqfgwbgmnl3baeb3wlzdmyFri, 25 Nov 2022 00:00:00 GMT