625 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
Power Aware Learning for Class AB Analogue VLSI Neural Network
No full textRecent research into Artificial Neural Networks (ANN) has highlighted the potential of using compact analogue ANN hardware cores in embedded mobile devices, where power consumption of ANN hardware is a very significant implementation issue. This paper proposes a learning mechanism suitable for low-power class AB type analogue ANN that not only tunes the network to obtain minimum error, but also adaptively learns to reduce power consumption. Our experiments show substantial reductions in the power budget (30% to 50%) for a variety of example networks as a result of our power-aware learning
Power scalable implementation of artificial neural networks
No full textAs the use of Artificial Neural Network (ANN) in mobile embedded devices gets more pervasive, power consumption of ANN hardware is becoming a major limiting factor. Although considerable research efforts are now directed towards low-power implementations of ANN, the issue of dynamic power scalability of the implemented design has been largely overlooked. In this paper, we discuss the motivation and basic principles for implementing power scaling in ANN Hardware. With the help of a simple example, we demonstrate how power scaling can be achieved with dynamic pruning techniques
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
Sankalp Patra 2019 - the Key Highlights of BJP's Election Manifesto
No full textOn April 8, 2019, India's Bharatiya Janata Party (BJP) released its election manifesto called Sankalp Patra', 3 days ahead of the crucial General Elections. The theme of the manifesto is "Sankalpit Bharat - Shashakt Bharat" or "determined India, empowered India". Through this manifesto, the party has set up a target to make India a US 10 trillion economy by 2032.In the last general election held in the year 2014, BJP won 282 seats, leading the NDA to a tally of 336 seats in the 543-seat Lok Sabha - the lower house of Indian Parliament. Eventually, it formed the government under the leadership of Narendra Modi. 
FAKTOR KEMENANGAN BHARATIYA JANATA PARTY (NARENDRA MODI) PADA PEMILIHAN UMUM LOK SABHA KE-17 INDIA TAHUN 2019
No full textAbstrakSetelah kemenangannya pada Lok Sabha ke-16 tahun 2014, pada pemilihan umum Lok Sabha ke-17 tahun 2019 dengan memperoleh 303 kursi di Dewan Rakyat India, Bharatiya Janata Party (Narendra Modi) kembali menduduki posisi sebagai pemegang kekuasaan tertinggi di Parlemen India yang membawa Modi menjadi Perdana Menteri India. Penulis menggunakan Teori Rational Choice milik Angus Chambell untuk menjelaskan bagaimana perilaku pemilih yang menjadi faktor penyebab kemenangan BJP (Modi) pada Lok Sabha ke-17 India. Data – data yang digunakan untuk menganalisis topik ini bersumber dari buku, jurnal dan artikel internet. Dari pengolahan data yang dilakukan penulis menyimpulkan bahwa faktor kemenangan BJP (Modi) pada Pemilihan Umum Lok Sabha ke 17 India tahun 2019 dipengaruhi oleh : 1.) Program Keamanan Nasional dan Ekonomi India. 2.) Sosok Modi yang Berkarisma. 3.) Pendukung BJP yang Loyal; dimana hal tersebut berhasil menciptakan hubungan timbal balik yang positif antara pemerintahan BJP (Modi) dengan masyarakat India. Kata Kunci : Bharatiya Janata Party (BJP), Narendra Modi, Lok Sabha, Hindu di India, Perilaku Pemiih. AbstractAfter winning the 2014 Lok Sabha, In the 17th Lok Sabha general election 2019 with 303 seats in the Indian People’s Council. The Bharatiya Janata Party (Narendra Modi)’s victory re-occupied the posotion as the hightest authority in the Indian Parliament which brought Modi return to his position as Prime Minister of India. The author uses Angush Chambell’s Rational Choice Theory to explain how the voter behavior was a factor in BJP (Modi)’s Victory in India’s 17th Lok Sabha. The data used to analyze this topic comes from a book, journals and Internet articles. From the data processing carried out, the author conclude that BJP (Modi)’s Victory factor in India’s 17th Lok Sabha General Election in 2019 influenced by: 1.) India’s National Security and Economi Program. 2.) Modi’s Charismatic Figure. 3.) BJP’s Loyal Supporters; where these points created a positive reciprocal relationship between the BJP (Modi) government and the people of India. Key word: Bharatiya Janata Party (BJP), Narendra Modi, Lok Sabha, Hinduism in India, Voter Behavior
Maternal antecedents to adolescent girls’ neural regulation of emotion
No full textCurrent research on adolescent brain development has uncovered individual differences in patterns of functional connectivity during the regulation of emotions, reflecting differences in psychological and emotional functioning. The purpose of this study was to identify possible contributors to these individual differences by investigating the role of maternal emotional resources, in the form of adult attachment and emotional awareness. Participants included 35 adolescent girls (M age = 15.51, SD = 0.37) who completed an implicit emotion regulation task (Lieberman et al., 2007) during an fMRI scan following 9th grade. Mothers reported on the quality of their adult attachment when youth were in 3rd and 4th grades and reported on their emotional awareness when youth were in 4th and 5th grades. We found that higher levels of maternal anxious attachment and lower levels of maternal emotional awareness were significantly correlated with more positive (i.e., ineffective) amygdala-right ventrolateral prefrontal cortex (rVLPFC) connectivity. Further, path analysis revealed that there was an indirect effect of maternal anxious attachment on adolescent functional connectivity through maternal emotional awareness. These results suggest that exposure to compromised maternal emotional resources in childhood may be linked to the development of ineffective neural processing of emotions, highlighting one pathway for the intergenerational transmission of disrupted emotion processing.Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2020-12-01The student, Haina Modi, accepted the attached license on 2018-11-19 at 09:33.The student, Haina Modi, submitted this Thesis for approval on 2018-11-19 at 09:42.This Thesis was approved for publication on 2018-11-26 at 11:59.DSpace SAF Submission Ingestion Package generated from Vireo submission #13098 on 2019-02-07 at 14:17:36Made available in DSpace on 2019-02-07T20:35:58Z (GMT). No. of bitstreams: 2
MODI-THESIS-2018.pdf: 688702 bytes, checksum: 061a0ab7cc1f09cabe6960d71c7cac9a (MD5)
LICENSE.txt: 4207 bytes, checksum: debe7cde4237d329cdf8f20b2c460abd (MD5)
Previous issue date: 2018-11-26Embargo set by: Seth Robbins for item 109821
Lift date: 2021-02-07T20:36:09Z
Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD systemEmbargo set by: Seth Robbins for item 109821
Lift date: 2021-02-07T20:39:46Z
Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD systemEmbargo set by: Seth Robbins for item 109821
Lift date: 2021-02-07T20:44:35Z
Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD systemU of I Only Restriction Lifted for Item 109821 on 2021-02-08T10:15:29Z
En Modi-fierad demokrati : En kvantitativ innehållsanalys gällande amerikansk nyhetsrapportering om Indien
No full textThe Swedish independent research institute V-Dem, which measures democracy around the world, declared in their most recent report on the issue that India was no longer classified as a democracy, but an electoral autocracy. Amongst other things, V-Dem draws the conclusion that the election of the Hindu nationalist leader Narendra Modi in 2014 has been a strong contributor to the decline in democracy in India. At the same time, The U.S. Department of State declares that the U.S.-India partnership is founded on a shared commitment to freedom and democratic principles. With India as a close ally, friction could arise. This thesis aims to explore how India is portrayed in American media, to get a broader understanding of how Americans view India and Narendra Modi. Many scholars believe policy is based on people’s opinions, and people’s opinions are largely based on how the media portrays certain issues. The author also draws a comparison between American right-leaning media outlets and left-leaning media outlets to examine if there are any differences regarding the depiction of India between them. By performing a quantitative content analysis, the author aims to examine how American media portrays India, its leaders, and democracy. The layout of the study is based on exanimating 175 published articles about India and coding them via a codebook designed to measure democratic values and the depiction of Narendra Modi, his government, and party BJP. The findings suggest that when democratic values are depicted in articles about India, it is mostly in negative terms. On the other hand, the portrayal of Narendra Modi, his government, and his party are more balanced. The findings also suggest that right-leaning and left-leaning media have a very similar way of portraying India, its democracy, and Narendra Modi
Psychological treatments in schizophrenia: II. Meta-analyses of randomized controlled trials of social skills training and cognitive remediation
No full textBackground. Social skills training and cognitive remediation are psychological techniques with considerable face validity for the treatment of negative symptoms of schizophrenia and their consequences. This paper provides a meta-analytical review of these treatments. It includes an appreciable number of randomized controlled trials, using comparisons against both standard care and other active interventions. However, the assessment of particular outcomes sometimes had to be based on single studies.Method. A detailed search strategy was used to identify randomized controlled trials of social skills training and cognitive remediation, primarily employing electronic databases. Randomized controlled trials (RCTs) that met predefined criteria were then subjected to meta-analysis on a variety of outcome measures.Results. There was no clear evidence for any benefits of social skills training on relapse rate, global adjustment, social functioning, quality of life or treatment compliance. Cognitive remediation had no benefit on attention, verbal memory, visual memory, planning, cognitive flexibility or mental state.Conclusions. Social skills training and cognitive remediation do not appear to confer reliable benefits for patients with schizophrenia and cannot be recommended for clinical practice
- …
