381 research outputs found
Simultaneous Twin Kernel Learning Using Polynomial Transformations for Structured Prediction
No full textMany learning problems in computer vision can be posed as structured prediction problems, where the input and output instances are structured objects such as trees, graphs or strings rather than, single labels {+1, −1} or scalars. Kernel methods such as Structured Support Vector Machines , Twin Gaussian Processes (TGP), Structured Gaussian Processes, and vector-valued Reproducing Kernel Hilbert Spaces (RKHS), offer powerful ways to perform learning and inference over these domains. Positive definite kernel functions allow us to quantitatively capture similarity between a pair of instances over these arbitrary domains. A poor choice of the kernel function, which decides the RKHS feature space, often results in poor performance. Automatic kernel selection methods have been developed, but have focused only on kernels on the input domain (i.e.’one-way’). In this work, we propose a novel and efficient algorithm for learning kernel functions simultaneously, on both input and output domains. We introduce the idea of learning polynomial kernel transformations, and call this method Simultaneous Twin Kernel Learning (STKL). STKL can learn arbitrary, but continuous kernel functions, including ’one-way’ kernel learning as a special case. We formulate this problem for learning covariances kernels of Twin Gaussian Processes. Our experimental evaluation using learned kernels on synthetic and several real-world datasets demonstrate consistent improvement in performance of TGP’s.Peer reviewe
The study of open source CMSs
No full textIn this thesis, we evaluate different Open Source Content Management Systems (CMSs) and determine their appropriateness for scientific research laboratories' website content management. We describe different CMSs and evaluate them based on the following criteria: ease of installation, usability, maintenance and updates, scalability, community strength and support, user roles and workflow, security, and Web 2.0 features. We then choose one of these systems, Drupal, and demonstrate its effectiveness for two different scientific websites, Bio-1 and Vizlab. Drupal allows integrating new features using community contributed modules and easy future up-gradation. Successful implementation of both projects using Drupal highlights the importance of Open Source CMSs.M.S.Includes abstractIncludes bibliographical referencesby Chetan Gopilal Jai
System integration and image pre-processing for an automated, real-time identification and monitoring system for coral reef fish
No full textIn this work we build an underwater vision system capable of monitoring the activities of fish found near coral reefs. We propose a unique hardware platform capable of monitoring a volume of water in a very efficient and cost effective way. We also develop algorithms required to take advantage of such a system. There are three main contributions of this work, which are; (1) using two right-angled camera’s to capture underwater image sequences, (2) developing algorithms to track and pre-process images for recognition (3) and demonstrating that we can recognize fish families or in some cases exact fish species using fish shape(with size, color and pattern features to be added later). We conclude from this work that using just two cameras in a right-angled setup is a cheap and effective way of monitoring fish activities in general. It is cost effective when compared to using multiple cameras and also less computationally intensive. We developed and modified our approach based on observations we made while testing this setup and accommodated these modifications in our software. We installed this system at the artificial coral reef in the New York Aquarium and periodically collected image sequences for processing. We demonstrate our results on the collected sequences and show pre-processing results on them. We also demonstrate, using shape feature from a fish sequence we collected at the aquarium (using cross-validation); that we can recognize fish families or in some cases exact species using those features.M.S.Includes bibliographical referencesby Chetan Tond
Improving Bicycle Safety through Automated Real-Time Vehicle Detection
No full textThe manner in which people use bicycles has changed very little since their invention in 1817. In that time, though, roadways have become congested with a dramatically less environmentally friendly mode of transportation: automobiles. These vehicles and the motorists who drive them represent, at times, a serious threat to the safety of both road cycling enthusiasts and bicycle commuters alike. Since bikers typically ride with the ow of trac, the most dangerous situation for them is when they are being passed by a motorist from behind. As a result, a biker must spend a substantial amount of her cognitive and physical ability to periodically scan for rear-approaching vehicles, reducing her capacity to handle the bicycle safely and maintain continual awareness for both the forward and rearward situations.To improve road cycling safety, we present a system that augments a standard bicycle with audio and video sensing, and computational capabilities. This Cyber-Physical bicycle system continuously senses the environment behind a biker, processes the sensed data utilizing audio processing and computer vision techniques, automatically detects the occurrences of rear-approaching vehicles, and alerts the biker in real time prior to the encounter. In this paper we present (i) the design of our prototype Cyber-Physical bicycle system and (ii) the results of our evaluation using video and audio traces collected from bikers. These results demonstrate both the feasibility of the system, exhibiting a high degree of detection accuracy while operating under the real-time and energy constraints of the problem scenario.Technical report DCS-TR-66
sj-docx-1-cll-10.1177_09636897221086969 – Supplemental material for Role of Curcumin in Reducing Toxicities Associated With Mucosal Injury Following Melphalan-Based Conditioning in Autologous Transplant Setting
No full textSupplemental material, sj-docx-1-cll-10.1177_09636897221086969 for Role of Curcumin in Reducing Toxicities Associated With Mucosal Injury Following Melphalan-Based Conditioning in Autologous Transplant Setting by Sachin Punatar, Kritika Katti, Deepan Rajamanickam, Pravin Patil, Chetan Dhakan, Bhausaheb Bagal, Anant Gokarn, Avinash Bonda, Lingaraj Nayak, Murari Gurjar, Sadhana Kannan, Shubhada Chiplunkar, Vikram Gota and Navin Khattry in Cell Transplantation</p
Effect of endodontic irrigating solutions on the microhardness and roughness of root canal dentin: An in vitro study
No full textContext: To evaluate the effect of widely used endodontic irrigating solutions on root dentin microhardness and surface roughness.
Materials and Methods: One hundred twenty, non-carious extracted human permanent incisor teeth were selected. The crowns of the teeth were sectioned and the roots were separated longitudinally to get 240 specimens. These specimens were then divided into six groups according to the irrigating solutions used. The solutions used were 5% and 2.5% NaOCl solutions, 3% H2 O2 , 17% EDTA solution, 0.2% chlorhexidine gluconate, and distilled water. Then, the specimens were subjected to microhardness and roughness testing. The data were analyzed using ANOVA and Tukey′s multiple comparison tests.
Results: The results of this study indicated that all irrigation solutions, except 0.2% chlorhexidine gluconate, decreased the microhardness of root dentin, and 3% H2 O2 and 0.2% chlorhexidine gluconate had no effect on surface roughness.
Conclusions: Within the limitation of this study, it is concluded that 0.2% chlorhexidine gluconate seems to be an appropriate irrigation solution, because of its harmless effect on the microhardness and surface roughness of root canal dentin
Employee Overseer Attendance Management and Business Analysis System
No full textAn organized and systematic attendance of employees is the preferred requirement in industries currently. Employee attendance management of company plays an important position in the work of management of employees in company, this can help to urge employee to work sincerely on time, improve efficiency and improves the entire system. Based on attendance we can analyze business also. Android is easily adaptive in smart phones. The Attendance Management System and Business Analysis is a mobile computing software application. In this paper an android application is implemented for employee attendance based business analysis which focusses on an activity or function, which is based on management information system of the enterprise and business analysis is done based on it. It is an Employee Overseer Attendance Management and Business Analysis System EOAMBAS which is used in the computerization of attendance report. An EOAMBAS can handle roles such as Administration, Manager, and Field officers of the enterprise. This application is easy to use and economical in terms of time and cost. Business Intelligence is obtained by performing data analytics with the data obtained in database. The implemented android application is easily configurable as well as economical in time and capital. Additionally, it is easily adaptive on any android device and provides attendance marking and analysis based on it. Implemented system is extremely beneficial for the enterprise as it monitors the attendance as well as the turnover of enterprise dynamically at required intervals of time. Real time analysis is maintained in database. Silvia Sailekar | Mamta Panda | Chetan Rajput | Prof. Sonali Patil | Bhavin Chauhan "Employee Overseer Attendance Management and Business Analysis System" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-3 , April 2018, URL: https://www.ijtsrd.com/papers/ijtsrd11564.pd
Femtosecond CARS Microscopy to characterize lipid droplets in Engineered Adipose Tissue
No full textAdipose tissue is a type of connective tissue whose purpose was once thought to be limited to fat storage but is now understood to be a key factor in the pathogenesis of different metabolic diseases, including obesity and type-II diabetes. Adipose tissue consists largely of adipocytes, cells responsible for fat and releasing energy in form of lipids. Different classes of fatty acids, such as saturated and unsaturated have different biological effects on adipocytes. Lipid droplets are the primary organelles in adipocytes that store these fatty acids in form of lipids, and the development of engineered adipose tissues would benefit from improved techniques for analysis of lipid droplet composition, distributions, and dynamics based as a function of fatty acid saturation. Conventional microscopic techniques, such as fluorescence microscopy, provides excellent selectivity of lipid-based structures inside adipose tissue cellular structures based on staining with compound dyes. However, fluorescence staining limits multiplex imaging, and requires time consuming steps in preparing the samples for imaging. Therefore, developing a label-free, high resolution imaging platform with sensitivity to lipid composition could enable analysis of structural and compositional differentiation of lipid droplets within adipocytes during differentiation could give valuable insights into the importance of lipid droplets role in metabolism. As an important step towards achieving this goal, a femtosecond based CARS microscopy imaging platform has been developed to perform in vitro, label-free, imaging of fatty acid composition within engineered adipose tissues.Bioengineerin
A Portrayal of Inter-caste Marriage in Chetan Bhagat’s Novel ‘2 States: The Story of My Marriage’
No full textThe aim of this paper is to understand the varied cultures and traditions existing in contemporary India which create impediments in inter-caste marriages for a young generation. Chetan Bhagat’s novels are emblems of the true thoughts of contemporary young India. 2 States: The Story of My Marriage is a love story of Krish, a Punjabi boy and Ananya, a Tamilian girl, and their attempts to convert their love into marriage with the endorsement of their parents. Author humorously delineates cultural aspects of Tamil Brahmin and Punjabi communities which are in sharp contrast to each other. The paper helps us to understand the cultural and social barriers between North-India and South-India and their impact on inter-caste marriages
Monte Carlo Simulations to Inform Clinical Applications of Optical Devices
No full textOptical Point-of-Care (POC) devices provide a low-cost platform for real-time, non-invasive diagnosis of disease and quantitative estimation of physiological biomarkers, allowing use in a wide variety of institutional settings ranging from acute surgical care to long-term clinical monitoring. POC optical value has resulted in their widespread adoption with great interest in at-home monitoring and explosive growth within wearable consumer electronics. However, recent studies have highlighted the fact that well-established devices such as pulse oximeters can exhibit subtle but dangerous inaccuracies in measurements from some darker skin pigmentation patients whose basis is not completely understood. Emerging optical technologies, such as near-infrared spectroscopy (NIRS) monitoring of bone quality are promising, yet similarly suffer from an incomplete understanding of the relationship between probe design and performance.The focus of this dissertation is to develop next-generation approaches to improve the performance of optical diagnostic devices informed by computational simulations of light-tissue interactions using Monte Carlo (MC) modeling. Although MC simulations have been previously used to design and simulate devices such as Pulse Oximeters or Transcutaneous Bilirubinometers (TcB), the simulations were incapable of capturing population-level heterogeneity and thus evaluating underlying factors contributing to measurement bias. Here, an in-silico MC platform was developed to investigate how population-level heterogeneity impacts Pulse Oximeters and TcB devices. The results demonstrate that fundamental biases in optical measurements exist and are exacerbated by inequitable regulatory guidelines. These findings were used to further demonstrate the impact of changes in regulatory guidelines that can affect measurement accuracy and clinical decision-making. Additionally, simulation results were used to inform the development of spectroscopic oximetry and demonstrate the techniques clinical feasibility and potential to improve accuracy in a human-subjects pilot study. In the case of the NIRS bone quality assessment, a lack of fundamental knowledge of tissue optical properties to allow simulations to inform relative contributions from different tissue features to the overall signal or explore optimization of device design. Studies were performed to collect previously unreported optical properties from musculoskeletal tissues, and this data was used to perform MC simulations which informed bone contribution to NIRS signals and in turn resulted in the design and preliminary characterization of next-generation fiber optic probes for real-time non-ionizing assessment of bone quality. Collectively, this dissertation demonstrates the impact of advances in MC simulations of light-tissue interaction across pressing clinically focused engineering challenges.Bioengineerin
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