539 research outputs found
Bibliographic utility networks
This article describes the functions, features, and advantages of bibliographic utility networks. Some cases have also described in order to get in-depth knowledge on their core services. The services of a bibliographic utility network are centred on online union catalogue database. Some bibliographic utility networks derived a number of services from their exhaustive union catalogue database to be used by different segments of clienteles. The services are not only contributory from participating institutions but also accessible to non-participating customers for search-only services. Their products have intense reference value to the libraries worldwide. Their expansion beyond their origin also have described here, which reflected in phenomenon growth in their services and membership. Some successful bibliographic utility networks, i.e., Online Computer Library Center (OCLC), Research Libraries Information Network (RLIN), Western Library Network (WLN), UTLAS and Kinetica have described here, and these utility networks have wider impact on library and information services. These bibliographic utility networks transform the face of library and information services to equip with new technological tools and techniques
Digitization of documentary heritage collections in Indic language: Comparative study of five major digital library initiatives in India
Documentary heritage collections in Indic languages have been soul of indigenous digital libraries in South Asia. Some of the digital preservation initiatives in India received global acceptance are namely, Digital Library of India, Panjab Digital Library, Kalasampada Digital Library – Resource for Indian Cultural Heritage, National Databank on Indian Art and Culture, Traditional Knowledge Digital Library, and National Mission for Manuscripts, due to uniqueness in their collections and approaches. These projects also help in preserving socio-linguistically diverse cultural contents and achieving a sense of unity while online accessing using common platforms. This paper evaluates enrichment of collections and effectiveness of online platforms of five major digital library initiatives in India
Lesser-Known Digital Libraries in India: Emerging Initiatives
The presentation titled "Lesser-Known Digital Libraries in India: Emerging Initiatives" was presented in the SALIS Webinar Series #39, organized by the Society for the Advancement of Library and Information Science (SALIS), India on 22nd August 2020. The event was organized to celebrate the International Open Access Week 2020.
Another version of this presentation was presented in the 2-Day Online International Library Conference “Research, Innovation & Knowledge: Changing Role of Libraries”, organized by Dr. Zakir Husain Library, Jamia Millia Islamia, New Delhi, India during 15-16 September 2020
Open for Climate Justice: A Brief Overview of Digital Library on Green Mobility
Department of Library and Information Science, Central University of Tamil Nadu, India organizes an invited lecture every year in relation to International Open Access Week. This year CUTN invited Dr. Anup Kumar Das to share his views on "Open for Climate Justice", the theme of International Open Access Week 2022. The webinar was scheduled for 26th October 2022.
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Genesis and Advancement of "Big Data" Research in the Context of Library Systems and Services: The Recent Trends
<p>It is a well-known fact today that data in the 21st Century's knowledge society is just like oil or fossil fuel as it was in the 18th Century's industrial society. Data is the new oil or fuel of the digital economy as oil and coal was the main fuel of the industrial society. This paper has presented brief developmental stages about how data became data science. One of the important milestones of this journey is indeed marked by the launching of the Journal of Data Science by Columbia University in the year 2003. The study and research about data science gradually gave birth to the new discipline 'Big Data' in due course of time. This term primarily indicates a huge chunk of dataset usually generated from any research domain, or industry, business, entrepreneurship, Governmental Activities and many more. The Libraries are the most appropriate place and the librarians are the most appropriate executers for working with big data. Libraries always adopt new technologies and one day may perhaps come when libraries will be the major big data handler. This paper analysed the bibliographic details of 1136 research articles retrieved from the Web of Science database on the topic of application of big data analytics to library systems and presented the results. This subject area was started in the year 2012, as indicated by the Web of Science database. Though the concept of Big Data is much older, its interpretation in the context of library systems and services is comparatively new. This subject is, therefore, still in the growing stage, and the exponential growth phase is yet to come. It is interesting to note that the top three paper contributing countries in this subject area are USA, China and India. </p>
Trends in Women Studies, 2011-2020: A Computational Text Analysis
<p>The interdisciplinary field of Women's Studies is manifested in diverse forms within the educational and research landscape of Indian universities and institutions. By scrutinizing trends and patterns in research, particularly focused in PhD theses, a comprehensive understanding of this field's evolution can be gleaned. In India, the discipline of Women's Studies is in a constant state of transformation, continually adapting its dimensions. In this study, we present our findings derived from an examination of the core theses produced over the last decade (2011-2020), exploring various facets of Women's Studies across multiple departments. Leveraging the Shodhganga digital theses repository, we meticulously selected 1389 theses as the basis of our analysis. The analysis reveals that the southern region of India has exhibited the highest publication output of these theses. To gain deeper insights into the breadth of research topics addressed by scholars, we employed computational text analysis techniques, specifically employing two prominent methods: Structural Topic Modelling (STM) and Latent Dirichlet Allocation (LDA). These methodologies enabled us to unravel the hierarchical arrangement of topics and the co-occurrence patterns within the documents. In conclusion, our study underscores the significance and utility of Electronic Theses and Dissertations (ETD) repositories, particularly in the context of Women's Studies in India. These repositories not only facilitate comprehensive analysis but also provide a valuable resource for researchers and scholars aiming to comprehend the trajectory. </p>
Reliability and energy-aware mapping and scheduling of multimedia applications on multiprocessor systems
Lifetime reliability is an emerging concern in multiprocessor systems as escalating power density and hence temperature variation continues to accelerate wear-out leading to a growing prominence of device defects. In this paper, we propose a system-level approach that involves performance-aware mapping of multimedia applications on a multiprocessor system to jointly minimize energy consumption and temperature related wear-out. Fundamental to this approach is a simplified temperature model that incorporates not only the transient and the steady-state behavior (temporal effect), but also the temperature dependency on the surrounding cores (spatial effect). This model is validated against the temperature obtained using the HotSpot tool with transient and steady-state simulations, and is shown to be accurate within 5.5 celsius, leading to an MTTF estimation accuracy of an average 21% with respect to the state-of-the-art approaches. The proposed temperature model is integrated in a gradient-based fast heuristic that controls the voltage and frequency of the cores to limit the average and peak temperature leading to a longer lifetime, simultaneously minimizing the energy consumption. Lifetime computation considers task remapping, which is a common feature available in modern multiprocessor systems. A linear programming approach is then proposed to distribute the cores of a multiprocessor system among concurrent applications to maximize the lifetime. Experiments conducted with a set of synthetic and real-life applications represented as synchronous data flow graphs demonstrate that the proposed approach minimizes energy consumption by an average 24% with 47% increase in lifetime. For concurrent applications, the proposed lifetime-aware core distribution results in an average 10\% improvement in lifetime as compared to performance-based core distribution
Autonomous soft-error tolerance of FPGA configuration bits
Field-programmable gate arrays (FPGAs) are increasingly susceptible to radiation-induced single event upsets (SEUs). These upsets are predominant in a space environment; however, with increasing use of static RAM (SRAM) in modern FPGAs, these SEUs are gaining prominence even in a terrestrial environment. SEUs can flip SRAM bits of FPGA, potentially altering the functionality of the implemented design. This has motivated FPGA designers to investigate techniques to protect the FPGA configuration bits against such inadvertent bit flips (soft error). Traditionally, triple modular redundancy (TMR) is used to protect the FPGA bit flips. Increasing design complexity and limited battery life motivate for alternative approaches for soft-error tolerance. In this article, we propose a technique to improve autonomous fault-masking capabilities of a design by maximizing the number of zeros or ones in lookup tables (LUTs). The technique analyzes critical configuration bits and utilizes spare resources (XOR gates and carry chains) of FPGAs to selectively manipulate the logic implemented in LUTs using two operations: LUT restructuring and LUT decomposition. We implemented the proposed approach for Xilinx Virtex-6 FPGAs and validated the same with a wide set of designs from the MCNC, IWLS 2005, and ITC99 benchmark suites. Results demonstrate that the proposed logic restructuring maximizes logic 0 (or 1) of LUTs by an average of 20%, achieving 80% fault masking with no area overhead. The fault rate of the entire design is reduced by 60% on average as compared to the existing techniques. Furthermore, the logic decomposition algorithm provides incremental fault-tolerance capabilities and achieves an additional 5% fault masking with an average 7% increase in slice usage.The complete methodology is implemented into a tool for Xilinx FPGA and is made available online for the benefit of the research community. The algorithms are lightweight, and the whole design flow (including Xilinx Place and Route) was completed in 75 minutes for the largest benchmark in the set.<br/
Information Literacy Competency and Readership Study of Five Specific Localities in Urban, Industrial and Semi-Urban Areas of Kolkata Metropolitan City
The Department of Library and Information Science, Jadavpur University, Kolkata, India, in association with UNESCO, completed a research study to measure information literacy competency and reading habits amongst the urban and semi-urban habitats in a metropolitan city in India.
This study report seeks to identify and critically examine the information literary competency and reading habits of mixed habitats, having contrasting professions or vocations. The objectives of this field study were:
• To attempt a critical study of the readership of people from different social strata of five specific localities of Kolkata metropolitan city;
• To attempt a study of the influence and to measure the encroachment of different media on people’s reading habit;
• To attempt an assessment of the probable causes behind the difference in pattern of the reading habits of people in different localities of Kolkata metropolitan city;
• To attempt an assessment of the role played by public libraries in promoting reading habits;
• To attempt a mapping of the information literacy competency level of people living in Urban, Industrial and Semi-Urban areas of Kolkata metropolitan city;
• To attempt to reach a viable conclusion from the results of the study.
This report illustrates information seeking behaviour of diverse groups of habitats, including youths, women, industrial workers and elderly persons. This study concludes that
• Most of the respondents in the present sample are aged between 31 and 50 and are in service.
• The number of men who do not read regularly far exceeds the number of women in the same category.
• Older people have mostly managed to cling on to their habit of reading.
• Among the non-print media, television attracts most respondents.
• Women are more prone to use libraries for satisfaction of their reading needs.
• Reading still survives, despite the electronic media boom.
The public libraries in the city play wider role to inculcate reading habits amongst youths and neo-literates. This study suggests that information literacy competency and lifelong education can also be imparted to marginalized group through public library networks in the country
Communication and migration energy aware task mapping for reliable multiprocessor systems
Heterogeneous multiprocessor systems-on-chip (MPSoCs) are emerging as a promising solution in deep sub-micron technology nodes to satisfy design performance and power requirements. However, shrinking transistor geometry and aggressive voltage scaling are negatively impacting the dependability of these MPSoCs by increasing the chances of failures. This paper proposes an offline (design-time) task remapping technique to minimize the communication energy and task migration overhead of an application mapped on a heterogeneous multiprocessor system for all processor fault-scenarios. The proposed technique involves two steps–(1) Communication Energy driven Design Space Exploration (CDSE) to select an initial mapping and (2) Communication energy and Migration overhead aware Task Mapping (CMTM) for different fault-scenarios. The CDSE is formulated as a Mixed Integer Quadratic Programming (MIQP) problem and solved using an energy-gradient based heuristic. The CMTM problem is solved using a fast heuristic with the starting mapping selected using CDSE step. The proposed two steps technique is compared with state-of-the-art approaches through rigorous simulations with synthetic and real application graphs. Results demonstrate that the proposed CDSE reduces design space exploration time by 99% with a maximum variation of 5% from the optimal solution obtained by solving the MIQP problem directly. Further, the proposed CMTM reduces communication energy by an average 35% and migration overhead by an average 20% for all single and double fault-scenarios as compared to the existing fault-tolerant techniques. The CMTM also achieves over 30x reductions in execution time for large problem sizes with a maximum deviation of 15% from the minimum communication energy achievable with the given application on a given architecture. For streaming multimedia applications, the proposed technique delivers 50% higher throughput per unit energy as compared to the existing approaches
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