4,701 research outputs found
An investigation into adaptive power reduction techniques for neural hardware
No full textIn light of the growing applicability of Artificial Neural Network (ANN) in the signal processing field [1] and the present thrust of the semiconductor industry towards low-power SOCs for mobile devices [2], the power consumption of ANN hardware has become a very important implementation issue. Adaptability is a powerful and useful feature of neural networks. All current approaches for low-power ANN hardware techniques are ‘non-adaptive’ with respect to the power consumption of the network (i.e. power-reduction is not an objective of the adaptation/learning process). In the research work presented in this thesis, investigations on possible adaptive power reduction techniques have been carried out, which attempt to exploit the adaptability of neural networks in order to reduce the power consumption. Three separate approaches for such adaptive power reduction are proposed: adaptation of size, adaptation of network weights and adaptation of calculation precision. Initial case studies exhibit promising results with significant power reduction
MODI-HHDoc: Historical MODI Script Handwritten Document Dataset
No full textAround from 12th century MODI script was used to write Indian languages as Marathi, Hindi, and Gujarati etc. It was used as administrative script from 17th century to mid of 19th century in Maharashtra state (India). At present, MODI script users are diminishing away, and countable persons can understand the MODI script. The preserved archaic historical MODI handwritten documents contained important and rare cultural, historic, and administrative kind of information which is usable in present-days. The significant information related to current era is preserved in the thousands of the archaic handwritten MODI documents at official and public sectors. MODI-HHDoc Dataset is a collection of three thousand three hundred and fifty handwritten ancient MODI document images. This dataset can be used to develop the handwritten ancient MODI document digitization, recognition, transcription, and transliteration system to gain the information written in MODI script. This dataset is collected in such way that the system should be robust enough to adapt all the variations in approach. •In any resultant publications of research that uses the dataset, due credits will be provided to one or more following publications:Deshmukh M. S., Patil, M. P., & Kolhe S. R. (2018). A hybrid text line segmentation approach for the ancient handwritten unconstrained freestyle Modi script documents. The Imaging Science Journal, 66(7), 433-442.Deshmukh M. S., Patil M. P., & Kolhe S. R. (2017). The divide-and-conquer based algorithm to detect and correct the skew angle in the old age historical handwritten Modi Lipi documents. Int J Comput Sci Appl, 14(2), 47-63.Deshmukh M. S., & Kolhe S. R. (2021). A modified approach for the segmentation of unconstrained cursive Modi touching characters cluster. In Recent Trends in Image Processing and Pattern Recognition: Third International Conference, RTIP2R 2020, Aurangabad, India, January 3–4, 2020, Revised Selected Papers, Part I 3 (pp. 431-444). Springer Singapore.Deshmukh M. S., Patil M. P., & Kolhe S. R. (2017, September). A dynamic statistical nonparametric cleaning and enhancement system for highly degraded ancient handwritten Modi Lipi documents. In 2017 International Conference on Advances in Computing, Communications and Informatics (ICACCI) (pp. 1545-1551). IEEE.Deshmukh M. S., & Kolhe S. R. (2022). A New Approach for Unified Characters Cluster Segmentation of Ancient Handwritten Modi Documents. In Computer Vision and Robotics: Proceedings of CVR 2021 (pp. 511-526). Singapore: Springer Singapore.Deshmukh M. S., & Kolhe S. R. (2021, March). Unsupervised Page Area Detection Approach for the Unconstrained Chronic Handwritten Modi Document Images. In 2021 International Conference on Emerging Smart Computing and Informatics (ESCI) (pp. 130-135). IEEE.THIS DATASET IS ARCHIVED AT DANS/EASY, BUT NOT ACCESSIBLE HERE. TO VIEW A LIST OF FILES AND ACCESS THE FILES IN THIS DATASET CLICK ON THE DOI-LINK ABOV
MODI-HHDoc: Historical MODI Script Handwritten Document Dataset
No full textAround from 12th century MODI script was used to write Indian languages as Marathi, Hindi, and Gujarati etc. It was used as administrative script from 17th century to mid of 19th century in Maharashtra state (India). At present, MODI script users are diminishing away, and countable persons can understand the MODI script. The preserved archaic historical MODI handwritten documents contained important and rare cultural, historic, and administrative kind of information which is usable in present-days. The significant information related to current era is preserved in the thousands of the archaic handwritten MODI documents at official and public sectors. MODI-HHDoc Dataset is a collection of three thousand three hundred and fifty handwritten ancient MODI document images. This dataset can be used to develop the handwritten ancient MODI document digitization, recognition, transcription, and transliteration system to gain the information written in MODI script. This dataset is collected in such way that the system should be robust enough to adapt all the variations in approach. •In any resultant publications of research that uses the dataset, due credits will be provided to one or more following publications:Deshmukh M. S., Patil, M. P., & Kolhe S. R. (2018). A hybrid text line segmentation approach for the ancient handwritten unconstrained freestyle Modi script documents. The Imaging Science Journal, 66(7), 433-442.Deshmukh M. S., Patil M. P., & Kolhe S. R. (2017). The divide-and-conquer based algorithm to detect and correct the skew angle in the old age historical handwritten Modi Lipi documents. Int J Comput Sci Appl, 14(2), 47-63.Deshmukh M. S., & Kolhe S. R. (2021). A modified approach for the segmentation of unconstrained cursive Modi touching characters cluster. In Recent Trends in Image Processing and Pattern Recognition: Third International Conference, RTIP2R 2020, Aurangabad, India, January 3–4, 2020, Revised Selected Papers, Part I 3 (pp. 431-444). Springer Singapore.Deshmukh M. S., Patil M. P., & Kolhe S. R. (2017, September). A dynamic statistical nonparametric cleaning and enhancement system for highly degraded ancient handwritten Modi Lipi documents. In 2017 International Conference on Advances in Computing, Communications and Informatics (ICACCI) (pp. 1545-1551). IEEE.Deshmukh M. S., & Kolhe S. R. (2022). A New Approach for Unified Characters Cluster Segmentation of Ancient Handwritten Modi Documents. In Computer Vision and Robotics: Proceedings of CVR 2021 (pp. 511-526). Singapore: Springer Singapore.Deshmukh M. S., & Kolhe S. R. (2021, March). Unsupervised Page Area Detection Approach for the Unconstrained Chronic Handwritten Modi Document Images. In 2021 International Conference on Emerging Smart Computing and Informatics (ESCI) (pp. 130-135). IEEE
Behavioral Simulation of Biological Neuron Systems in SystemC
No full textThe investigation of neuron structures is an incredibly difficult and complex task that yields relatively low rewards in terms of information from biological forms (either animals or tissue). The structures and connectivity of even the simplest invertebrates are almost impossible to establish with standard laboratory techniques. Recent work has shown how a simplified behavioural approach to modeling neurons can allow “virtual” experiments to be carried out that map the behaviour of a simulated structure onto a hypothetical biological one, with correlation of behaviour rather than underlying connectivity. The problems with such approaches are twofold. The first is the difficulty of simulating realistic aggregates efficiently, and the second is making sense of the results. In this paper we describe a method of modeling neuron aggregates using SystemC (a language developed for hardware design), and also a design interface to enable structures and connection maps to be developed, with simulations carried out leading to animated visualization of the result
Modi di scrivere. Conversazione con Nicola Emery
No full textLa teoria in Architettura è depositata nelle opere ovvero nella realtà immanente. Essa è portatrice di un sapere e questo sapere incorporato alle opere, è stabile che non vuol dire immoto, inconcusso, immutabile, indiscutibile ma solo “che sta” che ha fondamenta, che è fondato, un sapere che à-la Gadamer ha un ruolo “reggente e fondante”.
Un sapere che se non riconosciuto stabile non si potrebbe neppure insegnare, trasmettere, comunicare, discutere, contestare e innovare. L’unico sapere che conosco che è epitome di ciò che è fondato, di ciò che è reggente, è l’Architettura quella che si tocca ma anche quella progettata quella formalizzata insomma non il processo che onanisticamente non pro-duce, non pro-getta ma solo discute
MODI-HChar: Historical MODI Script Handwritten Character Dataset
No full textMODI script was used to write Indian languages as Marathi, Hindi, and Gujarati etc. from 12th century. From 17th century to mid of 19th century MODI was used as administrative script in Maharashtra state (India). Now a days, MODI script users are diminishing away, and countable persons can understand the MODI script. The archaic historical MODI handwritten documents contained important and rare cultural, historic, and administrative type of information which is usable in current era. In the research to train and test the Machine learning system a standard invariant character dataset is required. It is desirable in the development of the character recognition system that proposed approach has generalization proficiencies. The system gives good results if it is trained and tested using a standard invariant dataset. Here a standard invariant dataset of handwritten MODI characters is uploaded. MODI-HChar dataset contains total 57 handwritten MODI character classes images which comprises 10 numerals (0-9), 12 vowels (A – Ah) and 35 consonants (K - Dyn). This dataset includes total 575920 MODI character images as 101100 MODI digit images, 121320 MODI vowel images and 353500 MODI consonant images.This dataset is archived in a zip file. MODI-HChar dataset consists of three main folders as digits, vowels and consonants. Digits folder contains the subfolder for each digit zero to nine. Each of these folders includes 10110 images of the associated MODI digit. Equally vowel folder contains 12 subfolders and consonants folder contains 35 subfolders. And each of these subfolders contains 10110 images of the associated MODI character. The MODI character size is of 170x170 pixels and of 96 dpi. All the images are gray level and having type of the image is JPG. The users of the MODI-HHDoc Dataset must agree that:•Use of the data set is restricted to research purpose only.•No redistribution of the dataset is allowed.•Dataset can be partitioned into training and testing as per the requirement.•In any resultant publications of research that uses the dataset, due credits will be provided to the following publication:-Deshmukh, M. S., Patil, M. P., & Kolhe, S. R. (2015, August). Off-line Handwritten Modi Numerals Recognition using Chain Code. In Proceedings of the Third International Symposium on Women in Computing and Informatics (pp. 388-393).THIS DATASET IS ARCHIVED AT DANS/EASY, BUT NOT ACCESSIBLE HERE. TO VIEW A LIST OF FILES AND ACCESS THE FILES IN THIS DATASET CLICK ON THE DOI-LINK ABOV
Beyond Play, Playfully: The Cultural Location of Fitness Activities
No full textThis paper explores the cultural location of fitness training. It locates fitness training as a particular style or frame of activity intersecting the fields of leisure, sport and body transformation. It shows that non-competitive, recreational physical activities may indeed be as imbued with ideological values as competitive sports, and that the instrumentalization of pleasure is a powerful element of contemporary commercial leisure culture. However, it also goes further to consider how “fun”, which is organized as a relevant experience of fitness training, is related to a particular image of self which stresses autonomy, flexibility and “positive thinking” as key elements of wellbeing
Detection of postoperative pseudoaneurysms following abdominal aortic aneurysm repair in Behcet's disease by MRA
No full textWe report the development of two anastomotic pseudoaneurysms in a patient with Behcet's disease eighteen months after abdominal aortic aneurysm repair. Major asymptomatic vascular complications should be suspected in patients with Behcet's disease with a history of vascular surgery and treated expediently due to the risk of rupture. Magnetic resonance angiography, contrast-enhanced computed tomography or ultrasound scanning should be performed at least every 6 months after vascular surgery
Valuation of R&D Sequential Exchange Options using Monte Carlo approach
No full textThis article describes a methodology for evaluating R&D investment projects using Monte Carlomethods. R&D projects generally involves multiple phases with or without overlapping. R&D investments are made often in a phased manner, with the commencement of subsequent phase being dependent on the successful completion of the preceding phase, it is known as sequential investment. Moreover, each stage creates an opportunity (option) for subsequent investment. Therefore, R&D projects can be considered as ‘Compound Options' in which investments present uncertainty both in the gross project value and in costs. It is possible to use exchange options to value the R&D investment opportunities. In this paper, we propose to value the European and American Real Compound Exchange options through Monte Carlo simulation. We also provide a set of numerical experiments to provide evidence for the accuracy of the proposed methodology.Pseudo Compound American Exchange option; R&D;Monte Carlo Methods.
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