6,608 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
Architettura del luogo e dell'ego : modi per integrare il paesaggio, modi per dis-intengrarlo
No full textConfronto fra linguaggi territoriali locali e forme e modi d’ uso del suolo incongruenti che compromettono i valori identitati e produttivi dei contesti metropolitanii
India’s new Asia-Pacific strategy: Modi acts East
No full textIn this Lowy Institute Analysis, Danielle Rajendram examines India’s Look East Policy, and argues that the Modi Government will prioritise even closer engagement with the Asia-Pacific.
Key findings
India’s Look East Policy has shaped its engagement with the Asia-Pacific for over two decades, and, in recent years, has been driven by an external balancing strategy against China’s influence in the Indian Ocean, as well as India’s desire for a greater global role.
The BJP’s overwhelming electoral mandate will provide Prime Minister Modi with the opportunity to transform India into a serious strategic player in East and Southeast Asia.
The Modi Government will pursue a greater role in the Asia-Pacific in line with India’s growing economic and strategic interests, based on practical partnerships with Japan, Vietnam, Australia, and ASEAN
India´s West Asia policy in the Modi era
No full textIt goes on to explore case studies of India’s most important relationships in the region during the Modi era – Saudi Arabia, Israel and Iran – to highlight the continued significance of bilateralism in India’s ties with the countries in the region. The foreign policy of India towards the countries of the Middle East is not, however, predicated on the region being a region. Between themselves, the Gulf countries account for 15 per cent of India's total foreign trade. The GCC countries were, collectively, India’s second largest trading partner, and constituted the largest single origin of imports into India and the second largest destination for exports from India. It can be defined as the India’s Trademark Bilateralism in ‘West Asia’. Both India and Iran began to liberalise their economies in the 1990s. Iran was particularly helpful in its attempts to the address the question of India’s energy security as well, when it proposed Iran-Pakistan-India pipeline. It holds immense strategic and economic significance for India and Afghanistan
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Dr. Richa Modi - Women's Health in India
No full textDr. Richa Modi talks about issues related to women's health in India.Asian StudiesSouth Asia InstituteHindi Urdu Flagshi
Intermediazione illecita e modi di produzione
No full textLe applicazioni più recenti dell’art. 603-bis c.p. rivelano come il fenomeno dello sfruttamento del lavoro sia strettamente collegato a sistemi e modi di produzione e di organizzazione dell’impresa, che caratterizzano l’economia legale in un contesto di globalizzazione dei modi di produzione dei beni. Il ricorso allo strumento penale si rivela, al riguardo, irto di questioni problematiche, in quanto sostanzialmente inidoneo a regolare fenomeni strutturali dell'economia contemporane
How the legend of Modi, Hindu hero and political messiah, is breaking India's politics
No full textCultivating the Modi myth: How the illustrated booklets I bought for 50 rupees at a train station kiosk explain his devotees’ loyalty, despite COVID and Pegasus, eclipsing Trump and Netanyahu, and why it’s such grim news for Indi
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
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