175 research outputs found
Stochastic numerical approximation approaches for estimation of traffic volume under travel demand uncertainties
No full textThe traditional deterministic process of trip assignment does not account for uncertainties in traffic demands. These point-estimate based solutions often results in large differences between forecasted and actual traffic volumes thereby imposing huge financial burdens upon development agencies. In this work, stochastic treatment has been given to the trip assignment problem, specifically the network user equilibrium problem solved using the variational inequality method, under demand uncertainties modeled as random inputs. Smolyak sparse grid interpolation technique was successfully applied to the problem and compared to Monte Carlo sampling. Performance of constructed interpolant was evaluated through output distribution recovery , statistical moment estimation, and computation time comparisons. Ability of sparse grid to efficiently handle demand uncertainties using as many as 5 times fewer points than Monte Carlo sampling in pragmatically sized transportation networks was demonstrated.Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2019-08-01The student, Kumar Neelotpal Shukla, accepted the attached license on 2017-07-18 at 10:41.The student, Kumar Neelotpal Shukla, submitted this Thesis for approval on 2017-07-18 at 12:01.This Thesis was approved for publication on 2017-07-19 at 08:54.DSpace SAF Submission Ingestion Package generated from Vireo submission #11510 on 2018-03-02 at 13:02:29Made available in DSpace on 2018-03-02T19:59:44Z (GMT). No. of bitstreams: 3
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Previous issue date: 2017-07-19Embargo set by: Seth Robbins for item 105071
Lift date: 2020-03-02T19:59:52Z
Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD systemEmbargo set by: Seth Robbins for item 105071
Lift date: 2020-03-02T20:02:46Z
Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD systemU of I Only Restriction Lifted for Item 105071 on 2020-03-03T10:15:22Z
Steganography for Invisible Communication: A Review
No full textSteganography is the science and art of embedding secret messages in innocuous looking carriers in such a way that it does not draw the attention of anyone other than the sender and the targeted recipient, thus a method for secret and invisible communication which provides security through obscurity. Its main purpose is to hide the occurrence of communication over a public channel. Steganography has been used since ancient times and has grown exponentially in the recent past because of the improvements in computing power. Earlier, steganography was implemented using some physical medium i.e. some tangible objects but now a days, it is implemented electronically by using several other intangible objects i.e. data can be hidden using any type of media, be it image in bmp, jpeg, gif format or some music file, video clip, text file, SMS etc. In this paper, different types of techniques used to hide data have been discussed with major focus on image based modern steg-anographic techniques
Recent Advances in Mechanical Engineering:Select Proceedings of FLAME 2022
No full textThis volume is a compilation of papers presented at FLAME 2022, the third biennial international conference on Future Learning Aspects of Mechanical Engineering, held in Amity University in Uttar Pradesh, India, from August 3 to 5, 2022. Seventy chapters cover a wide range of mechanical engineering topics, including: absorp-tion cooling systems; engine performance and emission characteristics; modeling and structural analysis; thermoelectric generators; heating, ventilation, and air conditioning (HVAC) systems; alternative fuel-based vehicles; Industry 4.0-enabled sustainable manufacturing; solar collector-based energy harvesting; hybrid electric vehicles; tri-objective optimization; energy storage systems; and additive manufac-turing. The information contained in this book will be useful to researchers and professionals in the field of mechanical engineering. This book addresses a variety of problems in scientific engineering domain and is written for both academics and professionals in the field with the hopes of fostering greater understanding and cooperation between the two groups
Absorption Cooling System Powered by a Low Concentration Collector:A Case Study
No full textRenewable technologies associated with solar energy and cooling systems are in great development and fast dissemination in the literature. On the one hand, such innovations can reduce fossil fuel consumption and greenhouse gases emissions (GHG); but on the other hand, they still have higher expenditures especially because of the cost of solar reflective systems. This paper presents a new generation of solar collectors, denominated as reflective eccentric collectors, for driving the single effect absorption chiller and reducing the levelized cost of cooling solar-driven cooling systems. The study shows a case study in Brazil applying a hybrid system that is compared to the conventional solar-driven cooling systems. Both the configurations design and operation setpoints were optimized using multi-objective optimization methods. The research outcomes have shown the viability of this type of system for hot places. The optimal case presented a GHG emission level of 234 kgCO2/MWh, a LCOC of 123 USD/MWh.</p
A Hybrid Approach for Handwritten Devanagari Numerals Recognition Using HOG Algorithm and K-NN Classifier
No full textM.Tech.Character Recognition has become fascinating research area over a last few decades.
Reading handwritten characters is easy task for human but it is difficult task for
machines. Optical Character Recognition (OCR) System is used to recognize
handwritten and printed characters. A lot of work has been done on English
characters but these days Indian scripts have become interesting research area.
Devanagari is one of them. In the present study, an effort is given for handwritten
Devanagari numerals recognition. Many approaches have been developed in the field
of character recognition but still it remains challenging work for researchers. In
Recognition Process, Neural network is used as basic technique in most of the
approaches. A lot of training and large computations are required in these approaches.
So, an effort is done by author to make an easy hybrid approach for handwritten
Devanagari numerals recognition (HDNR). This comes under the category of Offline
recognition process. In proposed approach, various techniques such as binarization,
filtering, smoothing, normalization and thinning are used in preprocessing stage.
Bounding box is used for segmentation. Feature extraction is main portion of OCR
system because accuracy is mostly based on extracted features. Here Histogram of
Oriented Gradients (HOG) algorithm is used for feature extraction. There are a lot of
feature extraction methods but we preferred HOG because of its better feature
evaluation capacity. After feature extraction, they are classified into ten classes such
as zero, one, two, three, four, five, six, seven, eight and nine. K-NN Classifier has
been trained with these features. There are various classifiers but we selected K-NN
Classifier because its accuracy is better as comparison to other classifiers. There are a
lot of applications of handwritten Devanagari numerals recognition such as reading
bank cheques, passport readers, postal code readers, commercial forms reader, bill
processing systems etc. Proposed Hybrid approach has been applied to many
documents and author obtained satisfying results.Computer Science and Engineering, Thapar University, Patial
Satellite Precipitation Estimates (SPEs) and Their Validation Using Ground-Based Measurments: A Case Study in Uttarakhand State, India
No full text
Ecosystem Services: A Systematic Literature Review and Future Dimension in Freshwater Ecosystems
No full textEcosystem services are part and parcel of human lives. It is of paramount importance to understand the interaction between these ecosystem services, as they are directly related to human life. In the modern era, quantification of ecosystem services (ES) is playing an important role in the proper understanding and efficient management of social–ecological systems. Even though a significant amount of literature is available to present on the topic, there is a need to build an adequate amount of knowledge repository. Hence, a systematic literature review method is used, in which research question and searching stages are defined. This review study is conducted on ecosystem services and remote-sensing-related keywords in the Scopus database. After a systematic analysis of the papers retrieved from the Elsevier, Scopus database, MDPI, and open source, a total of 140 primary articles were categorized according to their relationship with other ecosystem services, land use, land cover, and planning management. Major issue findings and important aspects have been analyzed and reported in each category. With this analysis and developments in the existing literature, we have potential areas for future research. Findings pointed out that regional or local-level ecosystem services-related work is immensely important, and a hotspot of current research aiming to understand the variability and spatiotemporal dynamics in terrestrial and aquatic ecosystems
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