40,591 research outputs found
Application and Use of Multivariate Control Charts In a BTA Deep Hole Drilling Process
No full textDeep hole drilling methods are used for producing holes with a high length-to-diameter ratio, good surface finish and straightness. The process is subject to dynamic disturbances usually classified as either chatter vibration or spiralling. In this paper, we will focus on the application and use of multivariate control charts to monitor the process in order to detect chatter vibrations. The results showed that chatter is detected and some alarm signals occurs at time points which can be connected to physical changes of the process. --
Co-channel interference between WiFi and through-wall micro-Doppler radar
No full textNarrowband through-wall radars have been researched for detecting and classifying indoor movers on the basis of their micro-Doppler signatures. These radars usually operate in the unlicensed 2.4GHz ISM band and are therefore susceptible to interference from WiFi networks operating with the IEEE 802.11g protocol. In this work, we show, through experiments, how the radar degrades the WiFi throughput by lowering the signal to noise and interference ratio at the WiFi receiver. Similarly, WiFi interference causes deterioration in the radar performance by increasing the probability of false alarms.</p
ROLE OF PHYSICAL EDUCATION IN DEVELOPING STUDENTS YASH DEEP SINGH
No full textThe purpose of physical education is basically to make the body healthy, energetic and strong so that the body can become capable of struggle even in worldly adverse situations and can make life meaningful by becoming a means of attaining Purusharth Chatushtya. Students in physical education receive instruction in physical activities that assist keep them in shape. Students who desire to compete in sports receive specific practice sessions and preparation for contests. The capacity and confidence of a pupil to engage in physical activity are developed through physical education. It was incorporated into the academic programme by the Central Board of Secondary Education.The major objective of putting physical education into practice and promoting it is to create physically literate people who have the knowledge and abilities to engage in healthy activities for the rest of their lives. After completing the required training, individuals can continue participating in activities without the assistance of professional trainers. The fundamental goal of physical education is to teach students about how their bodies develop and how to take care of themselves, which includes instruction in everything from basic hygiene to diet management. Knowing exactly what they are doing and why they are doing it requires knowledge. This increases their knowledge in the field of physical education. In this paper we highlight factors that make physical education so crucial and necessary, including how it promotes children\u27s mental health, fosters a spirit of competition, and more. Physical education not only keeps the body in shape, but it also helps children stay healthy physically and mentall
Katha volynkini Joshi & Singh & Singh 2018, sp. nov.
No full textKatha volynkini Joshi & Singh, sp. nov. (Figs. 1, 13–14) Type locality: Garampani, Meghalaya, India. Type material: Holotype, ♂, INDIA, Meghalaya, Garampani, 09.IX.09 (Coll. R Joshi; Reg. no. PUP /RJ/135). One paratype: INDIA, Mizoram, Champhai, 27.IX.09 – 1♂.(Coll. R. Joshi; Reg. no. PUP/RJ/135a). Description: Adult (Fig. 1). Forewing length 14mm.Head with frons brown; vertex yellow. Antennae simple, brown. Labial palpi yellow, black at tips. Thorax with patagia and tegulae dark yellow; pectus pale yellow. Forewing creamish yellow with velvety texture; apex with more tinge of yellow; a deep groove from base of cell to tornus; underside minutely suffused with fuscous, termen pale; inner margin excurved at subbasal area. Hindwing concolourous. Legs black, suffused with some yellow on forelegs. Abdomen yellowish with some white at base. Male genitalia(Fig. 13) with uncus broad, sparsely setose, apically hooked; tegumen smaller than the very long vinculum; saccus deep v-shaped, with knob-like tip. Valvae typical of the genus, distal saccular process ending in a small spine. Juxta rectangular. Aedeagus (Fig. 14) moderately short and broad; vesica four lobed, apical lobe with female shoe shaped spine and basal lobe with a stout, blade-like spine; one lateral lobe with a dentate sclerotized plate, another with a field of minute spines. Diagnosis: Externally, the species of Katha are very similar to each other and are better diagnosed on the basis of male genitalia. Due to the absence of apical spine in aedeagus, and presence of two spines and a dentate plate in vesica, K. volynkini sp. nov. (Figs. 1, 13–14) is closely similar to K. conformis (Figs. 2, 15–16) but can be distinguished from it in the following attributes: a field of minute spines on a lobe opposite to the dentate plate is present; apical lobe of vesica is short with a female shoe shaped apical spine, vinculum broad “v”-shaped and saccus knobbed. Whereas, K. conformis lacks the field of minute spines, characteristic for the new species; the apical lobe of vesica is tubular with a nail like apical spine; the vinculum is narrow, “v”-shaped and the saccus is simple. Other closely related species is K. suffusa, which differs from the new species in the presence of single spine in vesica. Etymology: The species name is dedicated to Dr. Anton Volynkin, Arctiinae specialist from Tomsk, Russia.Published as part of Joshi, Rahul, Singh, Navneet & Singh, Jagbir, 2018, Description of a new Katha species from India, with a key to the Oriental species (Lepidoptera, Erebidae, Arctiinae), pp. 435-442 in Zootaxa 4407 (3) on page 436, DOI: 10.11646/zootaxa.4407.3.10, http://zenodo.org/record/121652
Polarization and social media: a systematic review and research agenda
No full textThe world of today presents a duality of phenomenal progress and persistent ills. Amid such existential contradictions, public deliberation forms one of the central pillars of a functional and progressive society. Though its relevance remains undoubted, interactions in the public sphere may often give way to misinformation, affect-driven predisposition, and homophily-based interactions, all reminiscent of polarization. While polarization remains a concern worldwide, structural changes, most notably, social media's advent and remarkable progress, have further redefined the meaning, scale, and diffusion of information. Accordingly, a tireless debate rages regarding the valence and strength of social media's influence on polarization. As an incremental means of resolving the complexity, we perform a systematic review of the extant scholarship and identify contingencies and mechanisms of social media's relationship with polarization. Further, we provide a conceptual framework, incorporating these intricacies while emphasizing the need to place this association in a broader frame. Our work contributes to theory by being one of the few reviews linking social media to polarization and providing a synthesis of contingent factors and underlying processes. We guide policy and practice by suggesting a future research framework
MOOC video: a video segment search engine for MOOCs
No full textFor my thesis, under the guidance of Professor Chengxiang Zhai, I have worked on building a search system for MOOC, which will give video results to users for the queries that they make. Whenever the user makes a search from the client, video results will be fetched from the server and displayed to the user. The user will also be pointed to relevant location or segment in the video. We get the text from the video, which is then indexed and used by the search engine. The search can be performed from the web interface, which shows the user videos results from the point of relevance. The results are also evaluated against a test data.Submission published under a 24 month embargo labeled 'U of I only', the embargo will last until 2017-05-01The student, Parimal Singh, accepted the attached license on 2015-04-25 at 18:10.The student, Parimal Singh, submitted this Thesis for approval on 2015-04-25 at 18:29.This Thesis was approved for publication on 2015-04-28 at 08:14.DSpace SAF Submission Ingestion Package generated from Vireo submission #8109 on 2015-07-22 at 14:18:54Made available in DSpace on 2015-07-22T22:33:56Z (GMT). No. of bitstreams: 2
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Previous issue date: 2015-04-28Embargo set by: Seth Robbins for item 79917
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Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD systemU of I Only Restriction Lifted for Item 79917 on 2017-07-23T09:15:34Z
Deep Transfer Learning for Intelligent Autonomous Vehicles
No full textAutonomous driving has become a very interesting research problem for the deep learning domain. While Intelligent Autonomous Vehicles (IAVs) have developed significantly over the last 10 years, there are still unresolved issues concerning how to transfer knowledge from one driving environment to another. In particular, there is hardly anything known about how to get IAVs trained for driving on one side of the road (e.g., left-hand side in New Zealand and Japan) to right-hand side (e.g., the USA and China). This research describes how a deep learning IAV lane-positioning model can predict the steering angle based on continuous left-hand drive images and velocity inputs for 50 minutes of simulated driving (over 32,000 images) using convolutional neural networks (CNNs). We then examine freezing weights at different layers for successful transfer to right-hand simulated driving (10 minutes and over 7,000 images) and find that the best layers to freeze lie closest to the output layer. By visualizing the effects of weights at different levels, we report that the model shows signs of extracting increasingly relevant features at the higher levels that may help to explain how human drivers transfer knowledge about how to drive on one side of the road to the other. The overall contribution of this thesis is showing how a deep learning IAV model can adhere to lane-positioning by predicting the steering angle and can also transfer knowledge from left hand to right hand drive simulated driving
Deep Transfer Learning for Intelligent Autonomous Vehicles
No full textAutonomous driving has become a very interesting research problem for the deep learning domain. While Intelligent Autonomous Vehicles (IAVs) have developed significantly over the last 10 years, there are still unresolved issues concerning how to transfer knowledge from one driving environment to another. In particular, there is hardly anything known about how to get IAVs trained for driving on one side of the road (e.g., left-hand side in New Zealand and Japan) to right-hand side (e.g., the USA and China). This research describes how a deep learning IAV lane-positioning model can predict the steering angle based on continuous left-hand drive images and velocity inputs for 50 minutes of simulated driving (over 32,000 images) using convolutional neural networks (CNNs). We then examine freezing weights at different layers for successful transfer to right-hand simulated driving (10 minutes and over 7,000 images) and find that the best layers to freeze lie closest to the output layer. By visualizing the effects of weights at different levels, we report that the model shows signs of extracting increasingly relevant features at the higher levels that may help to explain how human drivers transfer knowledge about how to drive on one side of the road to the other. The overall contribution of this thesis is showing how a deep learning IAV model can adhere to lane-positioning by predicting the steering angle and can also transfer knowledge from left hand to right hand drive simulated driving
Optimizing Navigation And Chemical Application in Precision Agriculture With Deep Reinforcement Learning And Conditional Action Tree
No full textThis paper presents a novel reinforcement learning (RL)-based planning scheme for optimized robotic management of biotic stresses in precision agriculture. The framework employs a hierarchical decision-making structure with conditional action masking, where high-level actions direct the robot's exploration, while low-level actions optimize its navigation and efficient chemical spraying in affected areas. The key objectives of optimization include improving the coverage of infected areas with limited battery power and reducing chemical usage, thus preventing unnecessary spraying of healthy areas of the field. Our numerical experimental results demonstrate that the proposed method, Hierarchical Action Masking Proximal Policy Optimization (HAM-PPO), significantly outperforms baseline practices, such as LawnMower navigation + indiscriminate spraying (Carpet Spray), in terms of yield recovery and resource efficiency. HAM-PPO consistently achieves higher yield recovery percentages and lower chemical costs across a range of infection scenarios. The framework also exhibits robustness to observation noise and generalizability under diverse environmental conditions, adapting to varying infection ranges and spatial distribution patterns.This is a preprint from Khosravi, Mahsa, Zhanhong Jiang, Joshua R. Waite, Sarah Jonesc, Hernan Torres, Arti Singh, Baskar Ganapathysubramanian, Asheesh Kumar Singh, and Soumik Sarkar. "Optimizing Navigation And Chemical Application in Precision Agriculture With Deep Reinforcement Learning And Conditional Action Tree." arXiv preprint arXiv:2503.17985 (2025).
doi: https://doi.org/10.48550/arXiv.2503.17985
Polygonatum tungnathensis Ankit Singh, Harsh Singh & M. C. Nautiyal 2022, sp. nov.
No full textPolygonatum tungnathensis Ankit Singh, Harsh Singh & M.C. Nautiyal sp. nov. (Fig. 2) Type:— INDIA, Uttarakhand, Tungnath, 30 ° 29ʹ33.88ʹʹ N, 79 ° 12ʹ58.03ʹʹ E, 3330 m, 15 July 2020, Ankit Singh Rawat 202145 (holotype GHU!; isotypes: BSD!). Diagnosis:—The new species possess few similar morphological characters to P. verticillatum like its appearance, arrangement of leaves and its inflorescence (Fig. 3) but, differs in having broadly lanceolate shaped leaves, 1.6–2.8 cm wide, adaxially coriaceous (vs narrow lanceolate, 0.6–1.5 cm wide, adaxially leathery lustrous in P. verticillatum), abaxial leaf surface papillate (P. tungnathensis) vs non papillate (P. verticillatum), filament with semi oval shaped papillae (vs sharply pointed papillae), pedicel having bractlet or ruminant of bractlet (vs pedicel without bractlet) (Table 1, Figs. 2–9). Description:—Erect or slightly arching perennial terrestrial herb, stem 63.3–160.6 cm high. Rhizome branched, tuberous subterete, terete, usually parallel to soil surface, 5–20 cm deep in soil, 14.9–23.5 cm long and diameter 1.3–2.1 cm, stem glabrous, terete with red blotches sometime with angular up to 160 cm and 0.8–1.3 cm in diameter dark red, pink, yellow and rarely green maculate/blotch. Leaves in whorls of, 4–6 lanceolate, slightly falcate, 7.5–11.5 × 1.6–2.8 cm sessile, base obtuse, margin entire, apex subobtuse, acute, adaxially green with purple or red blotches at base and apex occasionally with purple midvein and glaucous abaxially, vein red maculate abaxially, veins prominent 8–12. Stipule late deciduous (in comparison to P. verticillatum), 7.4–9.7 × 0.6–1.2 cm. Inflorescence axillary raceme, pendulous, 2–5 flowered, perianth tube in bud stage slightly pinched at middle, at maturity, 0.8–1.0 × 0.3–0.5 cm, campanulate, yellowish occasionally with red or purple blotch, subtruncate to round base, perianth lobes 6, green with dark green strip at middle, 0.4–0.7 × 0.3–0.45 cm, ovate, oblong, floccose at tip. Peduncle slender 1.3–2.1 cm long. Pedicels 0.3–0.6 cm long, with ruminant of bractlet and occasionally with 2 leafy bractlet (Fig. 2I). Stamens 6, basally adnate to perianth tube, papillose 0.5–0.8 cm long, anther elongate, base bilobed, oblong, 0.1–0.2 cm long. Ovary glabrous, superior trilocular, style floccose, stigma 0.2–0.3 cm long. Fruits berry, ellipsoid, green with red or pink blotches when immature, bright red when mature, 0.2–1.4 cm in diameter, 3–10 seeded. Seeds round semi-spheroid. SEM micromorphology:—SEM micromorphology of P. tungnathensis significantly differ with P. verticillatum, especially in foliar surface ornamentation. Abaxial leaf surface papillate vs non papillate (Figs. 4 A, C, B, D) small outgrowth scattered vs densely ornamented (Figs. 4 E, F). Leaf adaxial cuticular ridges conspicuous (longitudinally elongated and transversely narrowed) vs obscure (Figs. 5 A, B) rectangular cuticle surface vs irregular surface (Figs. 5 C, D) dense outgrowth vs scattered (Figs.5 E, F), ruminant of bractlet are small and resemblance like minute thorn (Figs. 6). Filament with dense semi oval shaped having striate surface of papillae vs filament with sharply pointed papillae (Figs. 7 (A, B). Non papillate filament vs papillate filament, (Figs. 7 A, C, B, D) rugulate-perforate vs smooth surface of flower outer side (Figs. 7 E, F). Larger vs smaller pollen grains (Figs. 8 A, B), tricolpate vs monosulcate (pollen type) (Figs. 8 C, D), colpus extended almost towards the grain end pollen ornamentation reticulate; the murus is psilate (Figs. 8 E, F). In P. tungnathensis the seed ornamentation is irregular shaped pavement cells vs conspicuous rectangular shape of pavement cells in P. verticillatum (Figs. 9 C, D), and granulate vs smooth surface ornamentation of seeds (Figs. 9 E, F). Specimens examined:— P. tungnathensis:— INDIA. Himachal Pradesh, on the way to Hattu peak, September 1994, Bipin Balodi 88755 (BSD); Uttarakhand, India, Uttarakhand, above Tungnath, 30 ° 29ʹ33.88ʹʹ N, 79 ° 12ʹ58.03ʹʹ E, 3330 m, 16 July 2020, Ankit Singh Rawat 202146 (paratype GUH). Garhwal, Buhna 3000 m, 15 June 1959, M.A. Rau 10214 (BSD); Garhwal, Dunagiri, 3400 m, 21 August 1974, B.D. Naithani 54126 (BSD); Hemkund on the way, 3400 m, 2 October 1962, U.C. Bhattacharyya 24293 (BSD); Tehri Garhwal, Panwali, 4000 m, 25 May 1979, A. K. Goel 66658 (BSD); Chamoli, Roopkund, P. K. Hajra, 87663 (BSD); Pithoragarh, Dugtu, 8 August 1998, B.P. Uniyal & Bipin Balodi 93965 (BSD); Uttarkashi, on the way to Hari ki Doon, 20 August 1996, Bipin Balodi 92172 (BSD). P. verticillatum:— INDIA. Uttarakhand, Garhwal, Gourikund, 2400 m, 13 October 1965, N.C. Nair 35914 (BSD); Uttarkashi, Way to Yamunotri, 4 October 1993, S.C. Majumdar & S. Singh 88010 (BSD); Bhojbasa, Gaumukh, 3700 m, 2 Sep 1983, D.C. Bhattacharyya 74742, (BSD); On the way to Jakhol, May 1997, Bipin Balodi 86558 (BSD); Gangotri, On the way to Kedarkharak, 28 July 2002, P. K. Pusalkar 101733 (BSD); Tehri Garhwal, Kalyani, 3000 m, 14 September 1979, A. K. Goel 67776 (BSD); On the way to Khatling, 3500 m, 14 Aug 1978, A. K. Goel, 64471 (BSD); Tali, 4300 m, 21 May 1979, A. K. Goel 66625 (BSD); Jamnotri, 18 June 1965, B.P. Shetty & J.P. Sharma 33195 (BSD); Pauri Garhwal, Dobri forest, 10 May 1995, B.P. Uniyal 90675 (BSD); Chamoli, Duggalbhitta P.W.D. R.H., 2300 m, 23 May 1985, R.R. Rao 76245 (BSD). Flowering:—July–August. Fruiting:—September–October. Etymology:—The specific epithet ‘ tungnathensis ’ is derived from the type locality Tungnath, Uttarakhand. Distribution:— 3000–4000 m from treeline to subalpine zone of the Western Himalaya. Conservation status:— Polygonatum tungnathensis occurs in small fragmented population in gentle grassy and rocky slopes. Populations are severely affected by intense grazing, unscientific harvesting for its medicinal uses, habitat reduction and irregular tourism activity. The species assessed as Vulnerable on the basis of extent of occurrence (EOO) and area of occupancy (AOO) (B1B2a) and number of mature individuals (C2ai,D1). Habitat and ecology:—Usually erect or arching herb associated with Tenaxia cachemyriana (Jaubert & Spach 1851:331) Barker & Linder (2010:352), Rhododendron campanulatum Don David. (1821:410) and Impatiens sulcata Wallich (1824:458).Published as part of Singh, Ankit, Singh, Harsh & Nautiyal, Mohan Chandra, 2022, Polygonatum tungnathensis (Asparagaceae), a new species from Uttarakhand, Western Himalaya, India, pp. 163-175 in Phytotaxa 554 (2) on pages 164-171, DOI: 10.11646/phytotaxa.554.2.5, http://zenodo.org/record/682094
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