Digital Commons Network^™

Reference Analysis In Biotika Journals As The Scientific Literature In The Biology Field, Mohamad Nurzaman, Hanny Hafiar, Risa Nurisani, Nurul Asiah

Library Philosophy and Practice (e-journal)

The quality of a scientific journal is determined by several standards. In Indonesia, one of the assessments of the quality of national journals uses the SINTA (Science and Technology Index) rating system. To obtain SINTA ranking results, it is necessary to match the contents of the journal with the assessment points contained in ARJUNA (National Journal Accreditation). Several points of assessment include primary and secondary reference ratios, the ratio of the reference source year, and the suitability of the article content with the focus and scope determined by each journal. Biotika is a Biology journal that is currently submitting for …

Growth And Impact Of Scholarly Contributions For Sp University: A Bibliometric Analysis, Pradip Patel, Atul Bhatt

Library Philosophy and Practice (e-journal)

Qualitative analysis of bibliographic datasets becomes advantageous to individuals and institutions since the high weightage of ‘research’ enunciated in assessment ranking or gradation framework. Out of the various existing methods ‘bibliometric methods’ applied in the current study for quantitative examination of research output to measure productivity and performance. A total of 1690 Bibliographic records consulted of Sardar Patel University (SPU) published during the year 2009-2018 retrieved from the Scopus indexing database. To validate the objectives i.e. to determine chronological growth, authorship pattern, core sources for research communication, and influence of productivity by citations received, various indicators, and indices and bibliometric …

Impact Of Health Literacy On Fear Of Covid-19, Protective Behavior, And Conspiracy Beliefs: University Students’ Perspective, Rozeen Shaukat, Ali Asghar, Muhammad Asif Naveed

Library Philosophy and Practice (e-journal)

Health literacy is an essential to respond proactively to pandemic situations like Covid-19. It helps the general public to reduce the spread of infectious diseases, prevent from over-reactions, reduce carelessness, adopt health protective behavior. The purpose of this research was to examine the impact of health literacy on fear of Covid-19, protective behavior, and conspiracy beliefs of university students in Pakistan. A cross-sectional survey using an online questionnaire was conducted at two public sector universities in Punjab with permission. A total of 271 received responses were analyzed by applying both descriptive and inferential statistics in SPSS. The results indicated students' …

Health Literacy Of University Students In Covid-19 Pandemic And Infodemic: A Pakistani Perspective, Rozeen Shaukat, Muhammad Asif Naveed

Library Philosophy and Practice (e-journal)

This research investigated the levels of health literacy among Pakistani university students in the Covid-19 pandemic and infodemic. The university students were surveyed using an online questionnaire at two public sector universities and one private sector university in Punjab-Pakistan. The administration of the data collection instrument was completed with permission from concerned authorities. A total of 374 responses received which were imported to SPSS and analyzed by applying descriptive as well as inferential statistics. The results revealed that the health literacy of university students in the Covid-19 pandemic and infodemic was not at an optimal level as these participants expressed …

Availability And Use Of Audio-Visual Materials For Teaching Mathematics At The Senior Secondary School In Ibadan, South-West Local Government, Oyo State, Hajarat Oyiza Abubakar, Jemilat Iyabo Arilesere, Shadrack Adejare Oluranti

Library Philosophy and Practice (e-journal)

No abstract provided.

Contribution Of Electronic Theses And Dissertations (Etds) By The Central Universities Of Northeast India To The Shodhganga Project Of Inflibnet: An Evaluative Study, Ankita Saloi

Library Philosophy and Practice (e-journal)

The present study attempts to evaluate the contributions made by the central universities of Northeast India to the open access repository of Shodhganga by INFLIBNET. Out of total 10 central universities of Northeast India, 9 Universities have already signed with MoU of Shodhganga repository and all are contributing their theses and dissertations to this project. North Eastern Hill University (NEHU) made the first initiative to signed MoU with Shodhganga and it has the highest numbers of 2,093 contributions in the repository and ranked 1st among all the central universities of Northeast India. Department of Education of North Eastern Hill University …

Scientometric Analysis Of Indian Physics Literature During 2004-2018, S C. Hosamani, C Krishnamurthy

Library Philosophy and Practice (e-journal)

The paper deals with the Indian physics literature published in resources as reflected in Web of Science (WOS) during the period 2004-2018. The study analyses India’s performance based on its publication output in physics, few Scientometric indices, such as the number of publications, number of citations, activity index, relative growth rate, doubling time, patterns of communication in national and international journals, are considered for portraying the different dimensions, Most prolific scientists and Institutions, and national & international collaboration from India were also considered. It was examined that during 2004-2018 there was a substantial increase in yearly output of Indian physics …

Research Productivity Of Chemistry Department, Tezpur University: A Scientometric Study, Nayana Borah Research Scholar

Library Philosophy and Practice (e-journal)

The purpose of the study is to evaluate the research publication of Chemistry department, Tezpur University. The SCOPUS database has been used to extract the data published during 2000 to 2020. The retrieved data has been analyzed on the following parameters; year-wise distribution of publication, form-wise distribution, authorship pattern, degree of collaboration, most productive authors, collaborative institution and preferred source for publication. A total of 1148 records have been retrieved and MS Excel is used to analyze the data. During the time period, the highest number of publication was in 2014, 95.56% of the publication were published in the form …

An Efficient Design Methodology For Complex Sequential Asynchronous Digital Circuits, Tomasz Chadzynski

Master's Theses

Asynchronous digital logic as a design alternative offers a smaller circuit area and lower power consumption but suffers from increased complexity and difficulties related to logic hazards and elements synchronization. The presented work proposes a design methodology based on the speed-independent sequential logic theory, oriented toward asynchronous hardware implementation of complex multi-step algorithms. Targeting controller-centric devices that perform data-driven non-linear execution, the methodology offers a CSP language-based controller workflow description approach and the specification of a project implementation template supported by a two-stage design process. First, the CSP layer describes complex speed-independent controller behavior offering better scalability and maintainability than …

Influence Of Social Circles On User Recommendations, Chaitanya Krishna Kasaraneni

Master's Theses

Recommender systems are powerful tools that filter and recommend content relevant to a user. One of the most popular techniques used in recommender systems is collaborative filtering. Collaborative filtering has been successfully incorporated in many applications. However, these recommendation systems require a minimum number of users, items, and ratings in order to provide effective recommendations. This results in the infamous cold start problem where the system is not able to produce effective recommendations for new users. In recent times, with escalation in the popularity and usage of social networks, people tend to share their experiences in the form of reviews …

Transfer Learning For Hyperspectral Images Utilizing Channel Selection Techniques And Ensemble Methods, Scott Daniel Vogel

Master's Theses

Hyperspectral images contain information from a wider range of the electromagnetic spectrum than natural images which gives them potential for better classification ability. However, hyperspectral datasets are typically small due to the expensive equipment needed to obtain the images, which can limit classification performance. One solution to this problem is transfer learning, in which a model trained on one dataset is reused for a separate dataset. Research has shown that transfer learning between hyperspectral datasets can give improved performance over models without transfer learning when training data are limited. Since extra hyperspectral data are not always available, the solution proposed …

Lstm-Enabled Level Curve Tracking In Scalar Fields Using Multiple Mobile Robots, Kunj J. Parikh

Master's Theses

Autonomous mobile sensor networks are ideal candidates for exploring large-scaleunknown fields with tasks ranging from source seeking, level curve tracking, mapping an unknown field, and many more. In this work, we investigate the problem of level curve tracking in unknown scalar fields using a limited number of mobile sensors. The level curve tracking problem has been studied in many applications such as monitoring the propagation of fire boundaries and the algae blooms. We design and implement a long short term memory (LSTM) enabled control strategy for a mobile sensor network to detect and track the desired level curve. We develop …

Deep Reinforcement Learning Based Path-Planning For Multi-Agent Systems In Advection-Diffusion Field Reconstruction Tasks, Deepak Talwar

Master's Theses

Many environmental processes can be represented mathematically using spatial-temporal varying partial-differential equations. Timely estimation and prediction of processes such as wildfires is critical for disaster management response, but is difficult to accomplish without the availability of a dense network of stationary sensors. In this work, we propose a deep reinforcement learning-based real-time path-planning algorithm for mobile sensor networks traveling in a formation through a spatial-temporal varying advection-diffusion field for the task of field reconstruction. A deep Q-network (DQN) agent is trained on simulated advection-diffusion fields to direct the mobile sensor network to travel along information-rich trajectories. The field measurements made …

Cat Tracks – Tracking Wildlife Through Crowdsourcing Using Firebase, Tracy Ho

Master's Projects

Many mountain lions are killed in the state of California every year from roadkill. To reduce these numbers, it is important that a system be built to track where these mountain lions have been around. One such system could be built using the platform-as-a-service, Firebase. Firebase is a platform service that collects and manages data that comes in through a mobile application. For the development of cross-platform mobile applications, Flutter is used as a toolkit for developers for both iOS and Android. This entire system, Cat Tracks is proposed as a crowdsource platform to track wildlife, with the current focus …

Linking Students Anxiety And Their Academic Achievements In The Subject Of Statistics At Ms-Library And Information Sciences Level In Pakistan, Saeed Ullah Jan

Library Philosophy and Practice (e-journal)

Anxiety plays a very dynamic role in the academic performance of the students. A normal level of anxiety is beneficial for students. It motivates students for study and hard work that results into a prosperous future, but high level of anxiety badly affects the students learning process. This study explains the students’ anxiety and academic achievements of the MS-Library and Information Science students of Sarhad University of Science and IT, Pakistan. Survey based quantitative approach was applied for data acquisition. Descriptive statistics was used to analyze the data. Lack of motivation from teachers, class tests, and assignments were regarded as …

A Neat Approach To Malware Classification, Jason Do

Master's Projects

Current malware detection software often relies on machine learning, which is seen as an improvement over signature-based techniques. Problems with a machine learning based approach can arise when malware writers modify their code with the intent to evade detection. This leads to a cat and mouse situation where new models must constantly be trained to detect new malware variants. In this research, we experiment with genetic algorithms as a means of evolving machine learning models to detect malware. Genetic algorithms, which simulate natural selection, provide a way for models to adapt to continuous changes in a malware families, and thereby …

Bibliometric Review Of Mppt Algorithms For Wind Energy Conversion Systems, Jayshree Ashok Pande, Paresh Nasikkar

Library Philosophy and Practice (e-journal)

The existing conventional fuels are going up in prices and going down in availability. This has boosted the demand for renewable resources like wind energy. Wind energy being abundantly available is becoming very popular as it is a freely available pollution-free green energy. Some technical aspects like the tracking of maximum power from the wind energy conversion systems have a very high impact on the efficiency of the wind energy conversion systems. Several algorithms have been implemented for tracking the maximum power point of the wind energy conversion systems. The main objective of this paper is to study the extent …

Citation Analysis Of Scholarly Publications On Indigenous Knowledge, Sangita Sarkar, Himanish Roy, Sourav Mazumder

Library Philosophy and Practice (e-journal)

Indigenous Knowledge (IK) refers to traditional knowledge that play a key role in the sustainable development of human society. Nowadays, the importance of IK is recognized significantly. We focus on a citation analysis of scholarly publications on IK during 2015-2019. The main contribution of this paper is to highlight the most productive journals; author impact; ranking of cited journals, non-journals, authors, and documents; reference spectroscopy; the shared coupling of articles; and co-citation of cited-authors. The scholarly citation data (n=2000) were collected from the Web of Science database and analyzed using bibliometrics software. The findings reveal that the “Journal of …

Research Productivity And Collaboration Pattern Of National Institute Of Science Education And Research (Niser), Bhubaneswar During 2008-2019: A Scientometrics Study, Bijayananda Pradhan, Sidhartha Sahoo, Pritam Kumar Pati, Shriram Pandey

Library Philosophy and Practice (e-journal)

This paper aims to evaluate the quantitative growth and development of research productivity of National Institute of Science Education and Research (NISER), Bhubaneswar in terms of publications as reflected in Scopus database. This study analyzed annual growth of publications, most preferred journals, open access publishing journals, Subject wise distribution of papers, top cited papers during the year 2008-2019. The study also analyzes country, organization collaboration and funding bodies in National Institute of Science Education and Research Bhubaneswar. The study assesses the intellectual output of the researchers produce by NISER and the findings of the study will be a matter of …

A Bibliometric Survey On Ultra Wideband Multiple Input Multiple Output Antenna With Improved Isolation, Laxmikant K. Shevada, Hema D. Raut, Rajeshwari R. Malekar, Amruta S. Dixit, Sumit Kumar

Library Philosophy and Practice (e-journal)

Ultra wideband (UWB) technology remains a viable choice for very high speed data communication in future applications involving large bandwidth. For boosting the data communication efficiency and to mitigate the multipath fading issue faced by UWB system with existing narrowband systems, Multiple Input Multiple Output (MIMO) antenna system is used along with UWB. Mutual coupling which must be smaller in value plays a vital role in deciding the efficiency of MIMO antenna and hence it becomes as important aspect. The mutual coupling reduction techniques of various UWB MIMO antennas are surveyed in this bibliometric paper. The bibliometric survey aims to …

Research Performance Of Engineering Colleges In Karnataka As Reflected In The Scopus Database, Gangadhar K C Dr., Nagaraja A Dr.

Library Philosophy and Practice (e-journal)

This paper intends to assess the growth of research publications and citations of engineering colleges affiliated to Visvesvaraya Technological University (VTU), Belagavi based on Scopus database. It is attempted to analyze parameters like the growth of research output among rural and city colleges i.e. geographical distribution of publications, pattern of research communication, share of national and international collaboration across Karnataka and high productivity institutions and top highly published journals and cited papers.

Impact Of Study Anxiety Sources On The Grade Achievements Of University Students, Muhammad Shahzad Shahzad Chaudhry Dr., Ayman Akbar Joya Ms.

Library Philosophy and Practice (e-journal)

Anxiety is a common phenomenon among all kind of learners and university students. Study anxiety has been recognized by students of all educational institutes as they face new atmosphere and people in the campus. The objective of this study is to recognize the sources of study anxiety and then determine the impact of these sources on the grade achievements among university students. The results showed that exam anxiety, subject anxiety, language anxiety, library anxiety, social anxiety and presentation anxiety are sources of study anxiety. All of the sources have a great impact on grade achievements except presentation anxiety. The results …

Text Mining: Research Trend Analysis, Forecast And Citation Approach, Amit Kumar Das

Library Philosophy and Practice (e-journal)

Text Mining (TM) is one of the immerging areas of research, but there are limited studies from the view point of scientometric. Using the bibliometric approach, this paper analyses TM research trend, forecast and citation approach from 2000 to 2019 by locating headings “text mining”, “text clustering”, “text extraction” and “text categorization” in Web of Science database. The paper classified 5006 retrieved articles, using the following ten categories – publication year, citation, country, institution, type of document, language, subject, author, source title and key-word – for distribution status of different areas, in order to explore the trend of researches in …

A Bibliographic Survey On Detection Of Covid-19 Patients Using Various Sensors In The Field Of Iot, Rutuja Patil, Akshay Sharma, Divya Bhatia, Mugdha Kulkarni, Yashika Patl

Library Philosophy and Practice (e-journal)

Due to a pandemic situation arising from the past few decades and the covid -19 patients are increasing at the rapid rate. Looking in the near future an IOT model is build which can be useful for people in coming years and allows rapid testing and efficient testing methodologies using various sensors such as Temperature, Respiration, RFID etc which takes various parameters. The study focuses around 412 scientific documents such as Journals, articles, book chapters and Patents in various papers. These documents are extracted from the scopus databases after querying with the keywords related to covid patients and IOT. The …

Multi-Agent Deep Reinforcement Learning For Walkers, Inhee Park

Master's Projects

This project was motivated by seeking an AI method towards Artificial General Intelligence (AGI), that is, more similar to learning behavior of human-beings. As of today, Deep Reinforcement Learning (DRL) is the most closer to the AGI compared to other machine learning methods. To better understand the DRL, we compares and contrasts to other related methods: Deep Learning, Dynamic Programming and Game Theory.

We apply one of state-of-art DRL algorithms, called Proximal Policy Op- timization (PPO) to the robot walkers locomotion, as a simple yet challenging environment, inherently continuous and high-dimensional state/action space.

The end goal of this project is …

End-To-End Learning Utilizing Temporal Information For Vision- Based Autonomous Driving, Dapeng Guo

Master's Projects

End-to-End learning models trained with conditional imitation learning (CIL) have demonstrated their capabilities in driving autonomously in dynamic environments. The performance of such models however is limited as most of them fail to utilize the temporal information, which resides in a sequence of observations. In this work, we explore the use of temporal information with a recurrent network to improve driving performance. We propose a model that combines a pre-trained, deeper convolutional neural network to better capture image features with a long short-term memory network to better explore temporal information. Experimental results indicate that the proposed model achieves performance gain …

Lidar Object Detection Utilizing Existing Cnns For Smart Cities, Vinay Ponnaganti

Master's Projects

As governments and private companies alike race to achieve the vision of a smart city — where artificial intelligence (AI) technology is used to enable self-driving cars, cashier-less shopping experiences and connected home devices from thermostats to robot vacuum cleaners — advancements are being made in both software and hardware to enable increasingly real-time, accurate inference at the edge. One hardware solution adopted for this purpose is the LiDAR sensor, which utilizes infrared lasers to accurately detect and map its surroundings in 3D. On the software side, developers have turned to artificial neural networks to make predictions and recommendations with …

Detecting Deepfakes With Deep Learning, Eric C. Tjon

Master's Projects

Advances in generative models and manipulation techniques have given rise to digitally altered videos known as deepfakes. These videos are difficult to identify for both humans and machines. Typical detection methods exploit various imperfections in deepfake videos, such as inconsistent posing and visual artifacts. In this paper, we propose a pipeline with two distinct pathways for examining individual frames and video clips. The image pathway contains a novel architecture called Eff-YNet capable of both segmenting and detecting frames from deepfake videos. It consists of a U-Net with a classification branch and an EfficientNet B4 encoder. The video pathway implements a …

Research Output Of Dibrugarh University: A Scientometric Analysis Based On Scopus Database, Dhruba Jyoti Borgohain

Library Philosophy and Practice (e-journal)

Scopus is the largest bibliographic (abstract and citation) database of peer-reviewed literature launched in 2004 by Elsevier. In this study the research output of Dibrugarh University, a pioneer institute of higher education in North-East India is analysed based on data collected from Scopus database for thirty years i.e., from 1982 to 2020. A total of 1642 documents with the affiliation ID of Dibrugarh University. This study endeavours to visualize year wise distribution of publication and find out Annual Growth Rate (AGR), the most prolific author on the basis of H-index and number of publications, the top collaborating nations and affiliations …

Solar Photovoltaic Performance Monitoring: A Bibliometric Review, Research Gaps And Opportunities, Javed Sayyad, Paresh Nasikkar

Library Philosophy and Practice (e-journal)

Electrical power generation has been revolutionized by growing demand and use of Renewable Energy (RE) sources such as Solar Photovoltaic (SPV) as the main electricity source in modern times. The main objective of this bibliometric analysis is to understand the scope of the literature available for SPV performance characterization. This detailed reviewed was performed on the documents related to SPV research considering all the subject categories from Scopus and Web of Science (WoS) databases. The patterns for the particular set of keywords were broke down with the recuperated outcomes from Scopus database in the language, publication type, year of publication, …