859 research outputs found

    Budhan Stories S2E2: Corona made us beggar

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    Episode 2 of Season 2 was focused on Dabgar tribe's issues during Corona, people who used to sell maps on the road sides, they had to beg in order to feed their children. Migration from Rajasthan and to settle down in Ahmedabad was struggle. The community faced tremendous hunger during Corona that women of the community had to go for begging.Created (Author) by: Budhan Theatre team. Participants: Dakxin Chhara, Atish Indrekar, Ruchika Kodekar, Chetna Rathod, Kushal Batunge, Keyur Bajrange, Anish Garange, Siddharth Garange, Alice Tilche, Akshay Khanna, Yashodara Udupa, Anshul Agrawal, Ankita Jain, Ramsarup Dabgar, Maninagar, Vatva, three women, Shyam Dabgar Supplementary materials include short clips, photographs and poster.</p

    Budhan Stories S2E3: We are Scared

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    Episode 3 of Season 2 - Rajbhoi tribe in Ahmedabad makes and sells ropes. It is their traditional livelihood but due to Corona they had to stop their work because of lockdown and they had to starve. There was no help from the government. Some NGOs gave them food and they had to go for begging to feed their kids. Created (Author) by: Ruchika Kodekar. 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, Anshul Agrawal, Ankita Jain, Rajesh Rajbhoi, Geetaben Rajbhoi, Bhanubhai Rajbhoi.Supplementary materials include short clips, photograps, poster and subtitles.</p

    Budhan Stories S2E9: They treat us like animals

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    Episode 9 of Season 2 is set in Himmatnagar area of Gujarat where Sandhi Dafer people live. Sandhi dafers are treated as Hardcore "Criminals" by the police and society. They live in utter poverty and work as daily wage labourers. Police arrest, illegal detention, Social boycott are some of the major problems faced by these people.Created (Author) by: Ruchika Kodekar. 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, Anshul Agrawal, Ankita Jain, Dafer, Navagam, Sandhi Dafer.Supplementary materials include short clips and poster.</p

    The benefits of growth for Indonesian Workers

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    Indonesia's adopted development model has proved to be the most successful in alleviating poverty and benefiting workers in developing countries. The government's development efforts focused on agriculture, education, and transport infrastructure. It emphasized providing productive employment opportunities and gradually improving the labor quality through education and training. The wage, employment, and income growth rates were left to market forces. Although the rapid growth of labor-intensive manufacturing has led to more jobs and higher wages benefiting workers, workers employed in these industries have expressed growing dissatisfaction. They complain about problems of child labor, the denial of centrally mandated wages and benefits to workers, poor working conditions, and the abuse of young female workers. The government has tried to improve worker's wages and working conditions by centrally mandating higher labor standards, relying principally on minimum wages. Enforcement has improved and, despite low compliance, minimum wages are beginning to bite. Indonesians are debating whether they need labor intensive industries and whether it is a mistake to base Indonesia's growth on cheap labor. They argue that if labor is more expensive, manufacturers must substitute some capital for labor. However, if labor-intensive industries are rejected, the capacity of the economy to absorb plentiful workers will be reduced. The main alternatives are to push up wages now, or to let wages be determined by market forces and strengthen institutions that could improve working conditions, such as labor unions. The author recommends maintaining flexible labor markets and allowing market forces to set the pace of change, while strengthening labor unions.Environmental Economics&Policies,Public Health Promotion,Labor Policies,Health Monitoring&Evaluation,Work&Working Conditions,Environmental Economics&Policies,Health Monitoring&Evaluation,Banks&Banking Reform,Work&Working Conditions,Municipal Financial Management

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    Efficient inference of convolutional neural networks on general purpose hardware using weight repetition

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    Deep Neural Networks (DNNs) have begun to permeate all corners of electronic society due to their high accuracy and machine efficiency per operation. Recent work has shown how weights within and across DNN filters have large degrees of repetition due to the pigeonhole principle and modern weight quantization schemes, and that this weight repetition can be harnessed improve DNN inference efficiency in an accelerator/ASIC context. This thesis develops new techniques so that weight repetition leads to an efficiency gain on general-purpose and programmable SIMD-based architectures such as CPUs equipped with vector extensions. We show how to write high-performance software that does not require hardware modifications and can cope with the irregularity introduced by weight repetition schemes. Overall, our highly parallel software kernel achieves up to 1:51 speedup in runtime of inference over state-of-the-art baseline.Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2021-05-01The student, Rohit Agrawal, accepted the attached license on 2019-04-23 at 21:40.The student, Rohit Agrawal, submitted this Thesis for approval on 2019-04-23 at 21:43.This Thesis was approved for publication on 2019-04-24 at 15:53.DSpace SAF Submission Ingestion Package generated from Vireo submission #13851 on 2019-08-22 at 16:23:40Made available in DSpace on 2019-08-23T20:48:24Z (GMT). No. of bitstreams: 2 AGRAWAL-THESIS-2019.pdf: 1182971 bytes, checksum: 87ecc270d1f189389584f14dd0439fb5 (MD5) LICENSE.txt: 4210 bytes, checksum: b4c74e22275709262713de9137b1212d (MD5) Previous issue date: 2019-04-24Embargo set by: Seth Robbins for item 112373 Lift date: 2021-08-23T20:48:32Z Reason: Author requested closed access (OA after 2yrs) in Vireo ETD systemLimited Restriction Lifted for Item 112373 on 2021-08-24T09:15:24Z

    Budhan Stories S2E5: Art, Artists and Corona

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    Episode 5 of Season 2 - Nats are traditional acrobates, they walk on ropes and do acrobats and earn their livelihood. This is what they have been doing since hundreds of years but when Covid-19 arrived and lockdown was imposed their livelihood was stopped and these nomadic people has to confine themselves in their huts for many months. There was no equal food distribution by the government so they relied on people who were giving rations. They also faced police atrocity during Corona.Created (Author) by: Keyur Bajrange. 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, Anshul Agrawal, Ankita Jain, Ran jeetbhai Nat, Galakaka Nat, Dharmedra Nat, Naresh Nat.Supplementary materials include photographs and subtitles.</p

    Budhan Stories S2E4: Corona, Snakes and Vaccine

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    Episode 4 of Season 2 - Corona, Snakes and Vaccine episode explores traditional snake charmer communities; who lives in small hamlets in forest area. The Madari tribe is a nomadic tribe and they normally follow their own traditional medicines and are reluctant to use allopathic medicines. Madari tribe people were very reluctant to take vaccination because they believed that it is a way to reduce the population and people would die after the vaccination. So such a wonderful people, clever but extremely traditional faced Corona in their own ways.Created (Author) by: Chetna Rathid. 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, Anshul Agrawal, Ankita Jain, Babunath Madari, Sonaben Madari, Nainnath Madari.Supplementary materials include short clips, photographs, poster and subtitles.</p
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