110 research outputs found
Calling for Culpability: Anish Kapoor's Dirty Corner
No full textBeginning in 2008, The Château of Versailles has hosted temporary exhibitions by contemporary artists. This paper looks at the backlash incurred against the exhibition by British-Indian artist Anish Kapoor, specifically his sculpture Dirty Corner. After Dirty Corner was vandalized with antisemitic hate speech, the artist pushed back against removing the graffiti, which only compounded the already antagonistic relationship between Kapoor, Versailles, and the public.
This paper posits that Kapoor’s refusal to cleanse Dirty Corner of its anti-Semitic defacement confronts France’s lingering denial of responsibility in both the Holocaust during WWII, and the nation’s burgeoning xenophobia in the wake of the European Refugee Crisis.student peer reviewed journal articlefinal article publishe
Evaluating spatial equity in bike share systems
No full textThis research analyzes 10 of the largest third generation docked bike share systems in the United States along with 3 docked bike share systems in New Jersey. These bike share systems were carefully selected to reflect diversity in their size and age, and their host region’s size and geography as well as data availability.This report was developed by the New Jersey Bicycle and Pedestrian Resource Center within the Alan M. Voorhees Transportation Center (VTC) at Rutgers, The State University of New Jersey. The research team included Charles T. Brown, MPA, Principal Investigator, Devajyoti Deka, PhD, Aashna Jain, Anish Grover, and Qingyang Xie. The Center is supported by the New Jersey Department of Transportation through funds provided by the Federal Highway Administration
Reconstructive foot and ankle surgery management of complications
No full textPacked with superb illustrations, pearls, and pitfalls, Reconstructive Foot and Ankle Surgery: Management of Complications, 3rd Edition, delivers step-by-step guidance on essential elements of complex foot and ankle surgery. World-renowned surgeon Dr. Mark S. Myerson, along with expert co-author Dr. Anish R. Kadakia, provides detailed instruction on how to select the correct treatment for challenging disorders and manage complications after surgery. A highly templated, consistent format, abundant illustrations, and decades of real-life experience make this an easy-to-use resource for everyday practice as well as an authoritative reference for in-depth study"--Publisher's descriptio
Budhan Stories S2E7: Corona won't affect us
No full textEpisode 7 of Season 2 - This episode was shot in Maharashtra and Bhopal, with online and offline interviews with Pardhi people sharing stories of suffering during Corona. Pardhis are one of the most stigmatised community as a Criminal Tribe in various states and development policies are never made for them. They are social outcasts and the state could not reach out to them for the help during Corona because they live in remote areas, at the roadsides and in forest areas. Also stigma makes their problems much worse.Created (Author) by: Anish Garange. Participants: Budhan Theatre, Dakxin Chhara, Atish Indrekar, Ruchika Kodekar, Chetna Rathod, Kushal Batunge, Keyur Bajrange, Anish Garange, Siddharth Garange, Alice Tilche, Akshay Khanna, Yashodara Udupa, Ankita Jain, Pardhi, Maharashtra, Bhopal, Vaccination.Supplementary materials include short clips, photographs, poster and subtitles. </p
CoqIOA : a formalization of IO automata in the Coq proof assistant
No full textThesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2017.This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.Cataloged from student-submitted PDF version of thesis.Includes bibliographical references (pages 51-53).Implementing distributed systems correctly is difficult. Designing correct distributed systems protocols is challenging because designs must account for concurrent operation and handle network and machine failures. Implementing these protocols is challenging as well: it is difficult to avoid subtle bugs in implementations of complex protocols. Formal verification is a promising approach to ensuring distributed systems are free of bugs, but verification is challenging and time-consuming. Unfortunately, current approaches to mechanically verifying distributed systems in proof assistants using deductive verification do not allow for modular reasoning, which could greatly reduce the effort required to implement verified distributed systems by enabling reuse of code and proofs. This thesis presents CoqIOA, a framework for reasoning about distributed systems in a compositional way. CoqIOA builds on the theory of input/output automata to support specification, proof, and composition of systems within the proof assistant. The framework's implementation of the theory of IO automata, including refinement, simulation relations, and composition, are all machine-checked in the Coq proof assistant. An evaluation of CoqIOA demonstrates that the framework enables compositional reasoning about distributed systems within the proof assistant.by Anish Athalye.M. Eng
Development and application of the stokes trap for measurement of interparticle interactions
No full textEmbargo set by: Colleen Fallaw for item 103493
Lift date: 2019-09-29T17:48:06Z
Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD systemThe ability to trap and control single particles in free solution has led to major advances in science and engineering. Common methods for particle trapping and manipulation often rely on optical, magnetic, acoustic, or electric forces. However, the vast majority of these methods critically depend on the target particle possessing specific physical properties such as index of refraction or surface charge. In this research, we have designed and built a Stokes trap, which allows for the manipulation and control of an arbitrary number of arbitrary type particles using only fluid flow. In this way, we have effectively constructed a `smart microfluidic device' by coupling feedback control with microfluidics, thereby enabling new routes for the fluidic-directed assembly of particles. This work is comprised of three distinct but interrelated efforts towards the precision trapping and manipulation of multiple particles using fluid flow. In the first project, the control algorithm for a microfluidic process is extensively studied for confining a single particle in solution. Here, we study the response of trapped particles actuated using a combination of proportional, integral, and derivative controllers (PID control), which extends beyond our prior work where we utilized a simple proportional controller for 2-D manipulation of particles in free solution. We investigate the effect of controller gains, flow rate, and feedback response times on the robustness of trapping, using a combination of simulation and experimental studies. In the second project, we present the development and application of the Stokes Trap, which is a multiplexed microfluidic method for arbitrary manipulation of an arbitrary number of particles in solution. We demonstrate simultaneous manipulation of two particles in a simple microfluidic device, and also achieve fluidic directed assembly of multiple particles in solution. In the third project, the Stokes trap is used to implement and experimentally demonstrate trajectory control using fluidic trapping, wherein particles are controlled by a path-following framework that improves the precision and the speed of manipulation of particles along arbitrary paths. An extended Kalman filter is also implemented, which effectively reduces the offset due to unmodeled phenomena during particle trapping. Finally, these techniques are leveraged to demonstrate the direct determination of solvent-mediated hydrodynamic interactions (HI) between two freely suspended colloidal particles in flow. From a broad perspective, this work provides a robust framework for studying fundamental interactions between particles or for guiding the directed assembly of materials.Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2019-08-01The student, Anish Shenoy, accepted the attached license on 2017-06-14 at 17:18.The student, Anish Shenoy, submitted this Dissertation for approval on 2017-06-14 at 17:20.This Dissertation was approved for publication on 2017-06-16 at 11:43.DSpace SAF Submission Ingestion Package generated from Vireo submission #11223 on 2017-09-29 at 10:45:50Made available in DSpace on 2017-09-29T17:45:41Z (GMT). No. of bitstreams: 2
SHENOY-DISSERTATION-2017.pdf: 6740561 bytes, checksum: dc2c2da260cd332198cd396030963224 (MD5)
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Previous issue date: 2017-06-16Embargo set by: Seth Robbins for item 103493
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Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD systemEmbargo set by: Seth Robbins for item 103493
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Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD systemEmbargo set by: Seth Robbins for item 103493
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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 103493 on 2020-03-03T10:15:29Z
Butterfly Gardening in Kerala – Ecological Habitat Development
No full textButterfly gardening is an ecological landscaping approach that aims to support butterfly populations by creating suitable habitats with host plants and nectar-producing flowering plants. In tropical regions such as Kerala, butterfly diversity is high due to favorable climatic conditions, diverse vegetation, and year-round plant growth. Establishing butterfly-friendly gardens contributes to biodiversity conservation, pollinator protection, and ecological awareness in both rural and urban environments.
Butterflies play an important ecological role as pollinators and indicators of environmental health. The presence of diverse butterfly species often reflects the quality of local ecosystems. Developing butterfly habitats in home gardens, educational spaces, and ecological landscapes helps maintain pollinator networks and encourages sustainable gardening practices.
A successful butterfly garden requires two types of plants: host plants for caterpillars and nectar plants for adult butterflies. Host plants provide food for caterpillars during their early life stages, while nectar plants supply energy for adult butterflies. In Kerala, commonly used host plants include curry leaf plant (Murraya koenigii), citrus plants, cassia species, and milkweed plants. Nectar plants such as ixora, hibiscus, cosmos, zinnia, and lantana attract butterflies by providing abundant nectar sources throughout the year.
Butterfly gardens do not necessarily require large land areas. Even small home gardens or terrace gardens can support butterfly populations when designed with diverse flowering plants and pesticide-free gardening practices. Environmental awareness initiatives in regions such as Ponnani in Malappuram district demonstrate how ecological gardening can contribute to pollinator conservation and biodiversity awareness through sustainable horticultural practices associated with Nellickal Nursery®.
Author: Anish Nellickal®
Environmental practitioner and biodiversity promoter
Affiliation: Nellickal Nursery®
Location: Ponnani, Malappuram, Kerala, Indi
Micro-power Pulsed-Doppler Radar Clutter and Displacement Source Classification Dataset
No full textThis is the official dataset for the ACM BuildSys 2019 publication One Size Does Not Fit All: Multi-Scale, Cascaded RNNs for Radar Classification.
The training code for MSC-RNN can be found at https://github.com/dhruboroy29/MSCRNN
Kindly cite this work as:
@article{roy2019one,
title={One Size Does Not Fit All: Multi-Scale, Cascaded RNNs for Radar Classification},
author={Roy, Dhrubojyoti and Srivastava, Sangeeta and Kusupati, Aditya and Jain, Pranshu and Varma, Manik and Arora, Anish},
journal={arXiv preprint arXiv:1909.03082},
year={2019}
}
</pre
A Partitioned Experience Method for Trajectory Prediction of Pedestrians
No full textFor travelling from point A to point B, autonomous vehicles generate a route between the points. During the mission, the vehicle uses a motion planning and controls algorithm to follow the planned route while avoiding static and dynamic obstacles. Motion planning algorithms generally plan over a future time horizon to smoothly follow the route and determine the car's optimal control (steering/acceleration). For planning through a future horizon, one requires the possible positions of all the relevant obstacles in future time-steps. Solutions for predicting an obstacle's future trajectory usually involve neural networks to perform sequence learning and generative algorithms to create multiple possibilities for a pedestrian's future state. This is done by attempting to learn the underlying distribution describing the obstacle motion. However, in practice, one cannot evaluate if this learnt distribution is accurate. This thesis addresses this issue by introducing a fully data-based alternative for trajectory prediction called the Partitioned Experience Method (PEM), which predicts future trajectories based solely on previously recorded data. In this way, it is not necessary to explicitly learn the underlying distribution of the pedestrian motion. The implemented trajectory prediction is validated using two metrics, recall and variance, introduced in this work. The trajectory prediction is also evaluated using a state-of-the-art motion planning algorithm. The results obtained from the motion planner indicate that using the PEM reduces the number of collisions and close contacts with other road users, and the corresponding trajectory followed by the car is closer to the reference trajectory.Mechanical Engineering | Vehicle Engineering | Cognitive Robotic
Aerial Perching via Active Touch: Embodying Robust Tactile Grasping on Aerial Robots
No full textAerial manipulators, characterized by their ability to actively engage with the environment, are gaining popularity for their versatility in performing diverse tasks.This research focuses on augmenting the capabilities of aerial manipulators through the integration of tactile feedback, specifically employing a compliant bio-inspired three-fingered manipulator equipped with tactile capacitive sensors on each finger. The manipulator is affixed to a drone, enabling tactile-guided navigation for precise object localization, subsequent grasping, and perching. Additionally, a grasp evaluator assesses grasp quality, allowing the system to adapt by suggesting alternative grasp locations after an initial attempt is unsuccessful. A comparative analysis between the system’s performance using tactile feedback and open-loop perching/grasping in perching scenarios demonstrates that the grasp evaluator improves the perching success rate by 55%-point and increases the allowable object uncertainty by 0.14 [m]. These findings highlight the efficacy of this approach in advancing aerial manipulator capabilities.Aerospace Engineering | Control & Simulatio
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