527 research outputs found
Neelam Saxena Chandra: A Literary Luminary Bridging Languages and Genres
Neelam Saxena Chandra, a prolific bilingual author, discusses her journey in poetry, literary influences, and creative process. She reflects on poetry as a medium for emotional expression and social change, sharing insights into her works, inspirations, and thoughts on gender sensitization and evolving poetic forms in contemporary literature
Marketing rural tourism: Experience and enterprise
Gunjan Saxena seeks to encourage a fuller understanding of rural tourism marketing by uncovering the lived experiences and enterprise of different actor groups as they respond to the impact of tourism on their communities and cultural identities. In so doing, the author makes a key contribution to the wider marketing discourse that circulates around place marketing and rural destinations
Functional relations involving generalized H-function
A number of papers have appeared in literature in which certain functional relations associated with hypergeometric functions and Digamma function ψ(z) are derived. In order to unify and extend the existing results due to Kalla [7]. Kalla and Ross [9], Al-Saqabi and Kalla [1], Nishimoto and Saxena [12], Srivastava and Nishimoto [17] and Pandey and Srivastava [14] etc., the author establishes two functional relations between ψ(z) and generalized H -function due to Inayat-Hussain [6]. The results obtained are of general character and provide extension and unification of functional relations of various hypergeometric functions available in literature. Existence conditionsand computable representation of the H -function are also investigated.<br /
The evolving politics of labor standards in Bangladesh: taking stock and looking forward
This chapter provides a brief history of three or more decades of national and international efforts to improve labor standards for the workers in the garment industry. It concludes by looking forward to what could be done in the future. The author draws on her own research in this field to structure the wider literature on this topic. This chapter argues that any account of achievements and failures in relation to these efforts has to be embedded in the wider context in which the Bangladesh industry emerged and grew because this helps us to understand why its working conditions continue to fall short of international conventions and national regulations. While it faces the difficulties faced by any underdeveloped country with a limited history of industrialization and an industrial working class, Bangladesh has featured particularly prominently in international efforts to promote labour standards in global value chains in the garment sector. It can therefore provide an important case study of the challenges encountered by these efforts when the apparent protectionism of powerful global actors encounter the apparent intransigence of locally powerful actors
Architectural & circuit level techniques to improve energy efficiency of high speed serial links
High performance computing and communication are two key aspects of all information processing systems. With aggressive scaling of silicon technology enabling integration of a large number of transistors in a small area, managing power and thermal reliability has become very challenging. While lowering the power needed for performing computation has been the prime focus for decades, energy consumed for data transfer has recently become a major bottleneck especially in high performance applications. The focus of this thesis is on improving energy efficiency of communication links by exploring design techniques at both the architectural and circuit levels.
In the first part of this work, we propose a time-based equalization scheme to implement transmit de-emphasis in voltage-mode output drivers. Using two-level pulse-width modulation, it overcomes the tradeoff between impedance matching, output swing, and de-emphasis resolution in conventional voltage-mode drivers. A prototype PWM-based 5Gb/s voltage-mode transmitter was implemented in a 90nm CMOS process and characterized across different channels and output swings to demonstrate the effectiveness of proposed techniques. The horizontal/vertical eye openings (BER=) at the ends of 60inch and 96inch stripline channels are 78mV/0.6UI and 8mV/0.3UI, respectively. This transmitter achieves an energy efficiency of 3.1mW/Gb/s while compensating for 16-28dB channel loss, which compares favorably with the state-of-the-art.
In the second part, techniques to improve energy efficiency of a complete transceiver are presented. The transmitter employs a novel partially segmented voltage-mode output driver to lower power consumption in pre-drivers during 2-tap FIR equalization. The receiver implements a low power half-rate clock and data recovery with the proposed ring PLL based multi-phase sampling clock generation in CDR loop and charge-based sampling and deserialization. These techniques are verified using the measured results obtained from a 14Gb/s transceiver prototype. Transmitter achieves an energy efficiency of 0.89mW/Gb/s while securing a 0.36UI sampling time margin with at the end of the channel with 11dB loss at Nyquist frequency. The receiver recovers sampling clock with 1.8 long term absolute jitter while recovering 14Gb/s data at . The receiver achieves an energy efficiency of 1.69mW/Gb/s. Transmitter and receiver share an LC PLL, which achieves 0.605 integrated jitter at 7GHz output with an energy efficiency of 0.5mW/GHz. The transceiver as a whole achieves an energy efficiency of 2.8mW/Gb/s.Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2017-12-01The student, Saurabh Saxena, accepted the attached license on 2015-11-16 at 16:11.The student, Saurabh Saxena, submitted this Dissertation for approval on 2015-11-16 at 16:37.This Dissertation was approved for publication on 2015-11-18 at 17:00.DSpace SAF Submission Ingestion Package generated from Vireo submission #8792 on 2016-03-02 at 14:13:10Made available in DSpace on 2016-03-02T21:06:32Z (GMT). No. of bitstreams: 2
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Previous issue date: 2015-11-18Embargo set by: Seth Robbins for item 91405
Lift date: 2018-03-02T21:07:27Z
Reason: Author requested closed access (OA after 2yrs) in Vireo ETD systemLimited Restriction Lifted for Item 91405 on 2018-03-03T10:15:31Z
Reliability and validity of a Hindi version of the Oral Health Impact Profile (OHIP-EDENT-H) for edentulous subjects: A Cross-Sectional study
Aim: The study aimed to translate the OHIP-EDENT into Hindi and assess its validity and reliability. Methods: The study included 150 participants whose demographic information was collected using the Modified Kuppuswamy Socio-economic Scale. The Oral Health Impact Profile in Edentulous (OHIP-EDENT) was translated into Hindi using the standard forward-backward method. Test-retest reliability was assessed using the Intra-class Correlation Coefficient (ICC) and internal consistency using Cronbach's alpha. The Kaiser-Meyer-Olkin (KMO) test and Bartlett's test of sphericity coefficient were used to conduct Exploratory Factor Analysis (EFA) and confirm the Construct validity. To establish Convergent validity, the relationship between the global question and the OHIP-EDENT-H subscale scores was observed. Results: The data was analyzed with a confidence level of 95 %, and statistical significance was interpreted as a p-value of less than 0.05. The Cronbach's alpha score for OHIP-EDENT-H was 1.00, indicating high internal consistency. The corrected item-total correlations ranged from 0.665 to 0.923, and the total ICC score was 0.763, demonstrating good reliability. The subscales' intra-class correlation coefficient values ranged from 0.968 to 0.997, indicating high reliability. However, items 4, 6, 13, 17, 18, and 19 had factor loadings below the acceptable threshold of 0.40 in the factor analysis. Additionally, the total and subscale scores of the OHIP-EDENT-H showed significant correlations with global question, with correlation coefficients ranging from 0.665 to 0.923. Conclusion: The Hindi version of OHIP-EDENT is a reliable and valid tool for evaluating the OHRQoL of Hindi-speaking edentulous individuals
Interpretable neural network with limited weights for constructing simple and explainable HI using SHM data
Recently, companies all over the world have been focusing on the improvement of autonomous health management systems in order to enhance performance and reduce downtime costs. To achieve this, the remaining useful life predictions have been given remarkable attention. These predictions depend on the proper designing process and the quality of health indicators (HI) generated from structural health monitoring sensors based on prior established multiple prognostic evaluation criteria. Constructing such HIs from noisy sensory data demands powerful models that enable the automatic selection and fusion of features taken from those relevant measurements. Deep learning models are promising to autonomously extract features in scenarios with a huge volume of data without requiring considerable domain expertise. Nonetheless, the features established by artificial neural networks are complicated to comprehend and cannot be regarded as physical system characteristics. In this regard, the goal of this paper is to extend a new model; an interpretable artificial neural network that enables the automatic selection and fusion of features to construct the most appropriate HIs with remarkably fewer parameters. This model consists of additive and multiplicative layers that provide a feature fusion that better reflects the system’s physical properties. Additionally, the weights are discretized in two ways: a) using a ternary form with values {-1, 0, 1}, and b) relaxing the aforementioned ternary form by rounding the weights at the first decimal point in the range of [-1, 1]. Both discretization techniques have the ability to softly control the number of parameters that should be ignored. This trick guarantees interpretability for the neural network by extracting simple yet powerful equations representing the constructed HIs. Finally, the model’s performance is evaluated and compared with other approaches using a practical case study. The results show that the proposed approach's designed HIs are both interpretable and of high quality according to the criteria of the HI's evaluation.Structural Integrity & Composite
Deployment of prognostics to optimize aircraft maintenance: A literature review
Historic records show that the cost of operating and supporting an aircraft may exceed the initial purchase price as much as ten times. Maintenance, repair and overhaul activities represent around 10-15% of an airlines annual operational costs. Therefore, optimization of maintenance operations to minimize cost is extremely important for airlines in order to stay competitive. Prognostics, a process to predict remaining useful life of systems and/ or components suffering from aging or degradation, has been recognized as one of the revolutionary disciplines that can improve efficiency of aircraft operations and optimize aircraft maintenance. This study focuses on literature that has used prognostics to optimize aircraft maintenance and identifies research gaps for further optimization of aircraft maintenance in commercial aviation. In this paper, the origin and development of prognostics is firstly introduced. Thereafter, the state of art of aircraft maintenance is reviewed. Next, the applicability of prognostics to optimize aircraft maintenance is explained, reviewed, and potential challenges and opportunities are explored. Finally, the state-of-the-art of prognostics in aircraft maintenance is discussed and research gaps are identified in perspective of the deployment of prognostics to optimize aircraft maintenance.Transport Engineering and Logistic
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