Digital Commons Network^™

Chlorination As Drinking Water Disinfection Technique And Disinfection By Products: A Scientometric Analysis, Sapna Ramchandra Shinde, Sayali D. Apte Dr, Kanchan C. Khare Dr, Philipp Otter Mr

Library Philosophy and Practice (e-journal)

The Sustainable Development Goals (SDG) 2015, defined to achieve a better and more sustainable future, contains goal number 6 related to safe and affordable drinking water facility for all till 2030. The rural and remote areas in the developing countries predominantly face the scarcity of pathogen free drinking water leading to water borne diseases and deaths due to consumption of contaminated water indicating a need of advancement in the drinking water disinfection techniques. The paper discusses scientometric analysis of publication trends in chlorination as a popular disinfection techniques and research related to the Disinfection By Products (DBPs) that are produced …

Bibliometric Review On Inertial Sensors Based Position Estimation Using Sensor Fusion, Animesh Mishra, Hamshita Kancharlapalli, Ankit Kumar, Aditya Chauhan, Parag Narkhede

Library Philosophy and Practice (e-journal)

Background: This paper analyzes the position estimation of UAV in a 3D environment, on the basis of inertial sensors and sensor fusion algorithm, done from the year 1994 to 2020. This paper contains various bibliometric analyses previously done on this topic.

Methods: The content for this topic was taken from the popular Scopus database. The Scopus provides many filters for searching databases with different document categories like document by year, country, etc. The research carried in this paper also includes co-authorship, citation analysis, etc.

Results: A total of 345 articles were obtained from the last 20 years, on the topic …

Bibliometric Review On Applications Of Disease Detection Using Digital Image Processing Techniques, Jayant Jagtap, Rahil Sharma, Aryan Sinha, Nikhil Panda, Amulya Reddy

Library Philosophy and Practice (e-journal)

Advances around the field of deep learning and cognitive computing have allowed mankind to look and solve the problems of the world in a completely new way. Deep learning has been making huge advancements in the field of healthcare, which most importantly focuses upon disease detection and disease prediction. Techniques such as these have been conceptualized the idea of early detection and economical ways of treating the predicted disease in particular. Still, it has been observed that there seems to be no change in the way diagnosis of a particular disease takes place even in the 21^st generation of …

A Comparative Study Of India And Australia Open Access Repositories In Opendoar, Alekha Karadia, Dr. Jyotshna Sahoo

Library Philosophy and Practice (e-journal)

An open access repository or open archive is a digital platform that holds research output and provides free, immediate, and permanent access to research results for anyone to use, download and distribute. To facilitate open access such repositories must be interoperable according to the Open Archives Initiative Protocol for Metadata Harvesting (OAI-PMH). Search engines harvest the content of open access repositories, constructing a database of worldwide, free of charge available research. OpenDOAR is the quality-assured, global Directory of Open Access Repositories. Its repositories provide free, open access to academic outputs and resources. This paper deals with Comparative analysis of India …

Bibliometric Review On Liver And Tumour Segmentation Using Deep Learning, Jayant Jagtap, Aamir Habeeb, Avinash Jha, Shrey Aggarwal, Khushi Gupta

Library Philosophy and Practice (e-journal)

One of the major organs in the body is liver where tumors occur often. Malignant liver tumors pose a serious hazard to human life and health. Manual segmentation of the liver organ and tumor from computed tomography (CT) scans is difficult, time-consuming, and skewed to the clinician's experience, yet it is essential for hepatic surgical planning. However, due to the following considerations, segmenting liver tumors from computed tomography (CT) images is difficult: In CT pictures, the contrast between the liver tumor and healthy tissues is low, and the boundary is indistinct; the picture of the liver tumor is confusing, with …

Social Media Usage In The Academic Libraries: Current Trends And Challenges In Pakistan With Special Reference To Facebook, Shahzadi Humbhi, Shabbir Tareen, Alia Humbhi

Library Philosophy and Practice (e-journal)

The current study aims to investigate the usage of social networking sites (SNS) for promoting library resources and services in academic libraries as well as assessing the perception of library professionals regarding SNS (Facebook) and also identifying the challenges that prevent library professionals from promoting the resources and services of libraries through SNS. For this study primary data collected from 167 library professionals of the academic libraries. A structured questionnaire was used and a systematic sampling technique was adopted for data collection purposes. The results show that still the usage of social media is limited in the academic libraries of …

The Case Of Cited And Uncited Publications In The Field Of Reference Services: A Study, Sadaf Zia, Muzamil Mushtaq

Library Philosophy and Practice (e-journal)

The endeavor of the present study is to identify and compare the characteristics of cited and uncited publications in the field of reference services. The phrase ‘reference service’ was searched in the document search tab of Scopus database and found 2612 results, which were limited to social science subject area and hence got 2021 results. The retrieved data was then restricted to journal source type and found 1900 results out of 2021. At last, the data was confined to library and information science journals in source titles and retrieved the actual data for the study i.e., 1861 number of articles. …

Web Accessibility Of Indian University Library Website: An Evaluation With Wave Website Evaluation Tool, Anita Sharma, Ranjeet Kumar Choudhary Prof.

Library Philosophy and Practice (e-journal)

The advent of new teaching-learning methods has brought a great demand for accessible educational websites. There is much research on the accessibility of the website on educational websites in recent years from different countries. A website serves as a communication channel for publishing information and services in higher education. It is expected that higher education institutions must provide access to their information resources and services to all its user in an equal manner irrespective of their physical disability. Hence, it should be mandatory for higher education institutions to include web accessibility as an important part of their websites. Libraries are …

Perception, Utilization And Purposes Of Using Cyberspace Information Resources And Services By Postgraduate Students, Faith O. Mesagan, Justina Ekere, Charles O. Omekwu, Mkpoikanke S. Otu, Chiedu Eseadi

Library Philosophy and Practice (e-journal)

This study was carried out to investigate postgraduate students’ perception, utilization and purposes of using cyberspace information resources and services in five federal universities in southwest Nigeria. The descriptive research design was adopted for this study. The purposive sampling technique was used to select a sample size of 1058 postgraduate students from five federal universities. Instrument for data collection include a well-structured questionnaire. The study witnessed a 95% return rate of the distributed questionnaire. The study used mean score () and Standard Deviation (SD) for data analysis. Results revealed that postgraduate students use cyberspace information resources and services for research …

Scholarly Research Trends Of State Universities Of Gujarat: A Bibliometric Study, Dr.Meghna Vyas, Dr Mayank J. Trivedi

Library Philosophy and Practice (e-journal)

The paper is describing bibliometric analysis of research publications of six state government universities of Gujarat during the year 2015-2019 indexed in SCOPUS database. The study exploring the various aspects of bibliometric analysis i.e. Number of publications and citation of the universities, the most productive author, the most productive publication source, the most preferred type of publication, the highest cited paper, and authorship pattern of 3825 bibliographic records. Analysis of the study is helpful to understand research output of the universities and which university has to do more effort to promote research activities and need to focus more on research …

Use Of Social Media In Collaborative Learning Among The Post Graduate Students Of Selected Universities In India, Abdul Baquee, Abuzar Hossain, R Sevukan

Library Philosophy and Practice (e-journal)

Purpose – The very purpose of this research work is to explore the use of Social Media (SM) in collaborating learning among the postgraduate students of three central universities in India; University of Hyderabad (UoH), English and Foreign Language University (EFLU) and Pondicherry University (PU).

Design/Methodology - A descriptive random survey method is adhered to this study with a framed questionnaire to collect data from the postgraduate students of these three universities. A total of three hundred questionnaires (100 per university) are distributed individually out of it, two hundred and fifteen (71.66 %) questionnaires are retrieved back from the respondents. …

Thermodynamic Entropy Of A Magnetized Ree-Eyring Particle-Fluid Motion With Irreversibility Process: A Mathematical Paradigm, M. M. Bhatti, Sara I. Abdelsalam

Basic Science Engineering

This article deals with the entropy generation and irreversibility process under the effects of partial slip on magnetic dusty liquid induced by peristaltic wave through a porous channel. The Ree-Eyring fluid model has been used for a governing flow. Mathematical modelling is based on Ohm's law, continuity equation, Darcy law and momentum equation. Analytical solutions are presented for fluid and particle phase. The effects of different pertinent parameters are considered for Newtonian and non-Newtonian cases. Numerical integration has been carried out using a computational software to analyse the pumping characteristics. The behaviour of velocity profile, trapping mechanism, entropy generation, Bejan …

Leveraging Elasticity To Uncover The Role Of Rabinowitsch Suspension Through A Wavelike Conduit: Consolidated Blood Suspension Application, Sara I. Abdelsalam, A. Z. Zaher

Basic Science Engineering

The present work presents a mathematical investigation of a Rabinowitsch suspension fluid through elastic walls with heat transfer under the effect of electroosmotic forces (EOFs). The governing equations contain empirical stress-strain equations of the Rabinowitsch fluid model and equations of fluid motion along with heat transfer. It is of interest in this work to study the effects of EOFs, which are rigid spherical particles that are suspended in the Rabinowitsch fluid, the Grashof parameter, heat source, and elasticity on the shear stress of the Rabinowitsch fluid model and flow quantities. The solutions are achieved by taking long wavelength approximation with …

Design Out Waste Framework For Achieving Sustainability In Public Housing Projects In Egypt, Ayman Ahmed Ezzat Othman, Laila Elsawaf

Architectural Engineering

Due to the increasing population worldwide, Public housing projects (PHPs) have witnessed a rapid increase during the previous decades. Simultaneously, this generated a substantial amount of waste that represents roughly 40% of the solid waste produced by the construction industry every year. Being one of the significant phases of the construction process, the choices made during the design process play a crucial role towards increasing the solid waste created during the construction phase, which eventually affected the sustainability of the developed projects. This called for considering innovative strategies that reduce construction waste during the design process. This paper aims to …

Software Engineering In Australasia, Sherlock A. Licorish, Christoph Treude, John Grundy, Kelly Blincoe, Stephen Macdonell, Chakkrit Tantithamthavorn, Li Li, Jean-Guy Schneider

Research Collection School Of Computing and Information Systems

Six months ago an important call was made for researchers globally to provide insights into the way Software Engineering is done in their region. Heeding this call, we hereby outline the position Software Engineering in Australasia (New Zealand and Australia). This article first considers the software development methods, practices and tools that are popular in the Australasian software engineering community. We then briefly review the particular strengths of software engineering researchers in Australasia. Finally, we make an open call for collaborators by reflecting on our current position and identifying future opportunities.

Facial Emotion Recognition With Noisy Multi-Task Annotations, S. Zhang, Zhiwu Huang, D.P. Paudel, Gool L. Van

Research Collection School Of Computing and Information Systems

Human emotions can be inferred from facial expressions. However, the annotations of facial expressions are often highly noisy in common emotion coding models, including categorical and dimensional ones. To reduce human labelling effort on multi-task labels, we introduce a new problem of facial emotion recognition with noisy multitask annotations. For this new problem, we suggest a formulation from the point of joint distribution match view, which aims at learning more reliable correlations among raw facial images and multi-task labels, resulting in the reduction of noise influence. In our formulation, we exploit a new method to enable the emotion prediction and …

Proxy-Free Privacy-Preserving Task Matching With Efficient Revocation In Crowdsourcing, Jiangang Shu, Kan Yang, Xiaohua Jia, Ximeng Liu, Cong Wang, Robert H. Deng

Research Collection School Of Computing and Information Systems

Task matching in crowdsourcing has been extensively explored with the increasing popularity of crowdsourcing. However, privacy of tasks and workers is usually ignored in most of exiting solutions. In this paper, we study the problem of privacy-preserving task matching for crowdsourcing with multiple requesters and multiple workers. Instead of utilizing proxy re-encryption, we propose a proxy-free task matching scheme for multi-requester/multi-worker crowdsourcing, which achieves task-worker matching over encrypted data with scalability and non-interaction. We further design two different mechanisms for worker revocation including ServerLocal Revocation (SLR) and Global Revocation (GR), which realize efficient worker revocation with minimal overhead on the …

An Efficient Privacy Preserving Message Authentication Scheme For Internet-Of-Things, Jiannan Wei, Tran Viet Xuan Phuong, Guomin Yang

Research Collection School Of Computing and Information Systems

As an essential element of the next generation Internet, Internet of Things (IoT) has been undergoing an extensive development in recent years. In addition to the enhancement of peoples daily lives, IoT devices also generate/gather a massive amount of data that could be utilized by machine learning and big data analytics for different applications. Due to the machine-to-machine communication nature of IoT, data security and privacy are crucial issues that must be addressed to prevent different cyber attacks (e.g., impersonation and data pollution/poisoning attacks). Nevertheless, due to the constrained computation power and the diversity of IoT devices, it is a …

Discovering Hidden Topical Hubs And Authorities Across Multiple Online Social Networks, Ka Wei, Roy Lee, Tuan-Anh Hoang, Ee-Peng Lim

Research Collection School Of Computing and Information Systems

Finding influential users in online social networks (OSNs) is an important problem with many possible useful applications. Many methods have been proposed to identify influential users in OSNs. PageRank and HITs are two well known examples that determine influential users through link analysis. In recent years, new models that consider both content and social network links have been developed. The Hub and Authority Topic (HAT) model is one that extends HITS to identify topic-specific hubs and authorities by jointly learning hubs, authorities, and topical interests from users’ relationship and textual content. However, many of the previous works are confined to …

Rapid Transition Of A Technical Course From Face-To-Face To Online, Swapna Gottipatti, Venky Shankaraman

Research Collection School Of Computing and Information Systems

Just like most universities around the world, the senior management at Singapore Management University decided to move all courses to a virtual, online, synchronous mode, giving instructors a very short notice period—one week—to make this transition. In this paper, we describe the challenges, practical solutions adopted, and the lessons learnt in rapidly transitioning a face-to-face Master’s degree course in Text Analytics and Applications into a virtual, online, course format that could deliver a quality learning experience.

Coastal Dunes As A Sink And Secondary Source Of Marine Plastics: A Study At Perran Beach, Southwest England, Andrew Turner, Sara L. Amos, Tracey Williams

School of Geography, Earth and Environmental Sciences

No abstract provided.

Energy And Throughput Efficient Strategies For Heterogeneous Future Communication Networks, Haitham El-Mohamdy Khaled

Theses: Doctorates and Masters

As a result of the proliferation of wireless-enabled user equipment and data-hungry applications, mobile data traffic has exponentially increased in recent years.This in-crease has not only forced mobile networks to compete on the scarce wireless spectrum but also to intensify their power consumption to serve an ever-increasing number of user devices. The Heterogeneous Network (HetNet) concept, where mixed types of low-power base stations coexist with large macro base stations, has emerged as a potential solution to address power consumption and spectrum scarcity challenges. However, as a consequence of their inflexible, constrained, and hardware-based configurations, HetNets have major limitations in adapting …

Exploring The Experiences Of Australian Science Researchers; Library, Google And Beyond, Ewa Maria Niewiadomska

Theses: Doctorates and Masters

Universities and research institutions in Australia are under pressure to produce high-quality research outputs. To generate the desired level of research, continuous provision of information is required. As a result of developments of digital technologies, the information behaviour of academics, both as consumers and creators of new information and knowledge, has evolved and changed over the decades.

In this study, the primary research question focused on how science academics based at Australian universities experience digital information sources as part of their scholarly activities. To support these research goals, the thesis explores where science academics seek information to support their research …

Down The Rabbit Hole: An Exhibition – And – Alice In Wonderland Engaging With The Reflexive Project Of The Self: An Exegesis, Shana James

Theses: Doctorates and Masters

Alice’s Adventures in Wonderland is a culturally significant text that is widely known across many cultures. In this Victorian story, a little girl follows the talking White Rabbit down a rabbit hole to uncover a fantastical parallel world. Alice in Wonderland has remained in print for over 150 years, highlighting its continued relevance to generations of readers. This exegesis investigates the making of visual artwork that responds to this significant story, exploring the symbology and metaphorical nature of the text and seeing the story as a “reflexive project of the self” (Giddens, 1991, p. 5).

I began this research having …

A Defensive Strategy For Detecting Targeted Adversarial Poisoning Attacks In Machine Learning Trained Malware Detection Models, Adrian Michael Wood

Theses: Doctorates and Masters

Machine learning is a subset of Artificial Intelligence which is utilised in a variety of different fields to increase productivity, reduce overheads, and simplify the work process through training machines to automatically perform a task. Machine learning has been implemented in many different fields such as medical science, information technology, finance, and cyber security. Machine learning algorithms build models which identify patterns within data, which when applied to new data, can map the input to an output with a high degree of accuracy. To build the machine learning model, a dataset comprised of appropriate examples is divided into training and …

Prospects And Challenges For Supply Chain Trade Under The Africa Continental Free Trade Area☆:, Jaime De Melo, Anna Twum

Journal of African Trade

No abstract provided.

The African Continental Free Trade Area: A Historical Moment For Development In Africa:, Vera Songwe, Jamie Alexander Macleod, Stephen Karingi

Journal of African Trade

No abstract provided.

Resilient Control In The Presence Of Man-In-The-Middle Attacks, Paul Griffioen, Raffaele Romagnoli, Bruce H. Krogh, Bruno Sinopoli

Faculty Work Comprehensive List

Cyber-physical systems, which are ubiquitous in modern critical infrastructure, oftentimes rely on sending actuation commands and sensor measurements over a network, subjecting this information to potential man-in-the-middle attacks. These attacks can take the form of denial of service attacks or integrity attacks. Previous approaches at ensuring the resiliency of the overall control system against these types of attacks have leveraged functional redundancy in the system, including resilient estimation and reconfigurable control. However, these approaches are only able to ensure resiliency up to a particular subset of the actuator commands and sensor measurements being compromised. In contrast, we introduce a resiliency …

Reducing Attack Vulnerabilities Through Decentralized Event-Triggered Control, Paul Griffioen, Raffaele Romagnoli, Bruce H. Krogh, Bruno Sinopoli

Faculty Work Comprehensive List

Decentralized control systems are widely used in a number of situations and applications. In order for these systems to function properly and achieve their desired goals, information must be propagated between agents, which requires connecting to a network. To reduce vulnerabilities to attacks that may be carried out through the network, we design an event-triggered mechanism for network connection and communication that minimizes the amount of time agents must be connected to the network, in turn decreasing communication costs. This mechanism is a function of only local information and ensures stability for the overall system in attack-free scenarios. Our approach …

Comparing The Protective Effects Of Resveratrol, Curcumin And Sulforaphane Against Lps/Ifn-Γ-Mediated Inflammation In Doxorubicin-Treated Macrophages, Eman Ramadan, Mohey Elmazar, Haidy A. Saleh

Pharmacy

Doxorubicin (DOX) chemotherapy is associated with the release of inflammatory cytokines from macrophages. This has been suggested to be, in part, due to DOX-mediated leakage of endotoxins from gut microflora, which activate Toll-like receptor 4 (TLR4) signaling in macrophages, causing severe inflammation. However, the direct function of DOX on macrophages is still unknown. In the present study, we tested the hypothesis that DOX alone is incapable of stimulating inflammatory response in macrophages. Then, we compared the anti-inflammatory effects of curcumin (CUR), resveratrol (RES) and sulforaphane (SFN) against lipopolysaccharide/interferon-gamma (LPS/IFN-γ)-mediated inflammation in the absence or presence of DOX. For this purpose, …