Quantitative Analysis Of Research On Artificial Intelligence In Retinopathy Of Prematurity, Ranjana Agrawal, Manasi Anup Agrawal, Sucheta Kulkarni, Ketan Kotecha, Rahee Walambe

Library Philosophy and Practice (e-journal)

Retinopathy of Prematurity (ROP) is a disease of the eye and a potential source of blindness in low birth weight preterm infants. It is preventable if diagnosed and treated on time. Artificial Intelligence (AI) has played an important role in developing automated screening systems to assist medical experts. There are many traditional literature review articles available that focus on the scientific content of ROP-AI. The researchers also require a bibliometric analysis to become acquainted with the competing groups and new trends in this field. This paper gives a brief overview of ROP and AI systems for ROP screening with a …

Human-Machine Communication: Complete Volume. Volume 2

Human-Machine Communication

This is the complete volume of HMC Volume 2.

Social Robots As The Bride? Understanding The Construction Of Gender In A Japanese Social Robot Product, Jindong Liu

Human-Machine Communication

This study critically investigates the construction of gender on a Japanese hologram animestyle social robot Azuma Hikari. By applying a mixed method merging the visual semiotic method and heterogeneous engineering approach in software studies, the signs in Azuma Hikari’s anthropomorphized image and the interactivity enabled by the multimedia interface have been analyzed and discussed. The analysis revealed a stereotyped representation of a Japanese “ideal bride” who should be cute, sexy, comforting, good at housework, and subordinated to “Master”-like husband. Moreover, the device interface disciplines users to play the role of “wage earner” in the simulated marriage and reconstructs the gender …

Forms And Frames: Mind, Morality, And Trust In Robots Across Prototypical Interactions, Jaime Banks, Kevin Koban, Philippe De V. Chauveau

Human-Machine Communication

People often engage human-interaction schemas in human-robot interactions, so notions of prototypicality are useful in examining how interactions’ formal features shape perceptions of social robots. We argue for a typology of three higher-order interaction forms (social, task, play) comprising identifiable-but-variable patterns in agents, content, structures, outcomes, context, norms. From that ground, we examined whether participants’ judgments about a social robot (mind, morality, and trust perceptions) differed across prototypical interactions. Findings indicate interaction forms somewhat influence trust but not mind or morality evaluations. However, how participants perceived interactions (independent of form) were more impactful. In particular, perceived task interactions fostered functional …

Moving Ahead With Human-Machine Communication, Leopoldina Fortunati, Autumn P. Edwards

Human-Machine Communication

In this essay, we introduce the 10 articles comprising Volume 2 (2021) of Human-Machine Communication, each of which is innovative and offers a substantial contribution to the field of human-machine communication (HMC). As a collection, these articles move forward the HMC project by touching on four layers of important discourse: (1) updates to theoretical frameworks and paradigms, including Computers as Social Actors (CASA), (2) examination of ontology and prototyping processes, (3) critical analysis of gender and ability/disability relations, and (4) extension of HMC scholarship into organizational contexts. Building upon the insights offered by the contributing authors and incorporating perspectives …

Artificial Intelligence-Driven Remaining Useful Life Prediction Of A Machinery-A Review, Dvij Barot, Honey Sharma, Mahika Yadav, Pooja Kamat

Library Philosophy and Practice (e-journal)

The Remaining Useful Life of a machine is very useful statistical information for the operator and manufacturer. It provides a very clear perspective to the user how long the machine can be operated and if any faults are detected how can they be prevented and ultimately increase the Remaining Useful Life. If the operators are aware of the forthcoming issues of the machine the downtime caused in the inspection, part delivery and eventually replacing parts is significantly reduced.

The paper presents a study on the remaining useful life of machinery as it is an emerging technique, starting from the year …

Recent Trends In Cloud Computing And Edge Computing, Sonali Deshpande, Nilima Kulkarni

Library Philosophy and Practice (e-journal)

Background: This study aims to analyze the work done in domain of cloud computing and edge computing using artificial intelligence from 2015 to 2021. Recent research shows the bibliometric methods are useful for such kind of analysis. Thus in this paper analysis is carried out using the bibliometric methods.

Methods: different articles on edge computing and edge intelligence were retrieved using one of the most popular database- Scopus. The research articles are considered between 2015 to 2021. Scopus analyzer is used for getting some analysis results such as documents by year, source, country and so on. VOSviewer Version 1.6.16 is …

Discourse On Digital Government And Regulation: A Bibliometric Analysis, Prakoso Bhairawa Putera, Amelya Gustina

Library Philosophy and Practice (e-journal)

This study aims to discuss digital government and regulation, analyzed through the bibliometric approach with the Scopus database for the last 20 years and visualized through the VOSviewer software version 1.6.16. The results indicate that the topic of e-government has become essentially prominent and has been the most discussed in the past two decades. Approximately 41.1% of digital government and regulation articles are classified under the subject area of 'Computer Science', continued by Social Sciences (18.3%), and Business, Management and Accounting (10.2%), with the majority of being 'All Open Access' (46%). The trend of publication in this field includes the …

Internet Of Things Based Messaging Protocols For Aquaculture Applications - A Bibliometric Analysis And Review, Rupali Shete, Anupkumar M. Bongale Dr., Arunkumar Bongale Dr.

Library Philosophy and Practice (e-journal)

Internet of Things (IoT) which connects real-world physical objects with various identities involves different technologies and research areas. As it is an integration of different standards and technologies with numerous capabilities, the implementation phase needs to consider important parameters of communication. In IoT this is achieved through messaging protocols. Each object has its own limitations in terms of sensing capability, storage capacity, connectivity, power utilization, etc. And hence when such objects are deployed for different applications, they need to perform well in terms of their various capabilities. Messaging protocols at this stage need to consider these diverse elements. One of …

Authentication Schemes' Impact On Working Memory, Janine D. Mator

Psychology Theses & Dissertations

Authentication is the process by which a computing system validates a user’s identity. Although this process is necessary for system security, users view authentication as a frequent disruption to their primary tasks. During this disruption, primary task information must be actively maintained in working memory. As a result, primary task information stored in working memory is at risk of being lost or corrupted while users authenticate. For over two decades, researchers have focused on developing more memorable passwords by replacing alphanumeric text with visual graphics (Biddle et al., 2012). However, very little attention has been given to the impact authentication …

Bibliometric Survey For Stock Market Prediction Using Sentimental Analysis And Lstm, Pooja Bagane, Nimit Mehta Mr, Parth Kakde Mr, Nisarg Bramhbhatt Mr, Ishansh Sahni Mr, Sirbi Kotrappa Dr

Library Philosophy and Practice (e-journal)

Creating an overview of the flow fundamentals of the global market trading and sublimation of equities into a superimposed system of economic agendas. Furthermore this leads to dynamic overlapping with the current technological advancements to create a platform for information exchange and inculcations. This created a new field of access points where we could enhance and analyse the data available and create an interface to predict the rise and fall trends involved with the stock market. These help create a sense of control and format over the public personification over the economic impacts and use social media and involve discrete …

The Role Of Institutional Repositories In Advancing Open Scholarship: A Case Study From The United Arab Emirates University, Amina Itani, Linda Östlundh Mrs.

The Journal of Electronic Theses and Dissertations

The digitization of theses and dissertations at the United Arab Emirates University (UAEU) began five years ago with the Digital Commons institutional repository (IR) platform, Scholarworks, employed for the purpose. The project, initiated by the University Library, exemplifies how academic libraries can take the lead in advocating for digital preservation and open access publishing of institutional research materials. This case study describes how the library’s Electronic Theses and Dissertations (ETD) initiative has provided an excellent model to the UAEU for it to start disseminating its research output and how the library’s copyright and open access policies have been crucial for …

Incomplete Images, Or Where Does The Art Happen?, Rebecca Uliasz

Journal of Network Music and Arts

No abstract provided.

Sync Variations: For Sixteen Isolated Electric Violin Players And A Programmed Network System, Elad Shniderman

Journal of Network Music and Arts

Sync Variations is a collaboration between the composer and sound artist Elad Shniderman, the physicist Moti Fridman, and his colleagues Nir Davidson and Shir Shahal. An article on the scientific research aspect of this project was published in Nature Communications². This article focuses on the musical performance and score.

The project is the product of a unique interaction between musicians through a custom-programmed network system. This system simulates the network environment of the internet in many ways. However, the piece has not yet been performed over the internet, which naturally will be the next step in this project. …

On Composing 5,000 Miles, Joe Sferra

Journal of Network Music and Arts

This article is my account of composing my first piece for telematic performance, a quartet called 5,000 Miles. The piece was commissioned by the ACCAD Sonic Arts Ensemble, directed by Marc Ainger, Ann Stimson, and Federico Cámara Halac. I performed the piece with the ensemble on two performances in November 2020: a performance for the NowNetArts Conference, and a second performance titled “Into the Multiverse” for the Wexner Center for the Arts at Ohio State University. I outline how I approached writing a specifically telematic piece, then present an analysis.

Live Electronics, Audiovisual Compositions, And Telematic Performance: Collaborations During The Pandemic, Danilo Rossetti, Cássia Carrascoza Bomfim

Journal of Network Music and Arts

We present a report of the experience of our remote musical collaboration during the Covid-19 pandemic regarding live electronic, audiovisual compositions, and telematic performance in the context of the project Sound Notebooks. We discuss the problems found and the solutions adopted in the performances, as well as the hypotheses of musical research raised by the remote environment. We argue that the variety of expressive modes, sonic modalities, and video possibilities in the Sound Notebooks repertoire we presented contributes to the construction of an aesthetics for remote performance. We additionally address practical and conceptual questions involving the composition, performance, and technical …

Electo Electro 2020, An Interactive Voting Booth Installation, Mike Richison

Journal of Network Music and Arts

Electo Electro 2020 was a project that was created specifically for the 2020 presidential election cycle. This paper is a follow-up to an article published in 2019 for the Journal of Network Music and Arts, “Voting Booths and Interactive Art Installations: The Diebold AccuVote-TS in Context.” In that paper, I discussed the original concept and goals for the project, several examples of work from other artists, and an earlier project from 2016 that served as the impetus for Electo Electro. This paper will discuss the outcomes and iterations of the project, specifically how it was adapted to an online …

Editorial, Sarah Weaver

Journal of Network Music and Arts

No abstract provided.

Multi-Step-Ahead Exchange Rate Forecasting For South Asian Countries Using Multi-Verse Optimized Multiplicative Functional Link Neural Networks, Kishore Kumar Sahu, Sarat Chandra Nayak, Himansu Sekhar Behera

Karbala International Journal of Modern Science

The dynamic nonlinearity approach, coupled with the exchange rate data series, makes its future predictions difficult. Sophisticated methods are highly desired for effective prediction of such data. Artificial neural networks (ANNs) have shown their ability to model and predict such data. This article presents a multi-verse optimizer (MVO) based multiplicative functional link neural network (MV-MFLN) model to forecast the exchange rate data. Functional link neural network (FLN) makes use of functional expansion for input data with a fewer number of adjustable neuron weights, which makes it capable of learning the uncertainties accompanying the exchange rate data. In contrast to the …

Analysis Of Recent Trends In Malware Attacks On Android Phone: A Survey Using Scopus Database, Sonali Kothari Tidke, Vijayshri Khedkar

Library Philosophy and Practice (e-journal)

In past few years, smartphone use has shifted from professional access to personal need. Smartphone has now become an essential requirement to perform day to day activities. This has made smartphones unsecured and vulnerable to cyber threats and malware attacks. This study is also focused on finding intersection between malware attacks and Android OS considering Android as the most widely used mobile OS. A comprehensive search is conducted on Scopus Database for peer-reviewed articles. The study is carried out on bibliometric data of the considered articles to generate a highly useful concept map.

Review And Analysis Of Failure Detection And Prevention Techniques In It Infrastructure Monitoring, Deepali Arun Bhanage, Ambika Vishal Pawar, K Kotecha

Library Philosophy and Practice (e-journal)

Maintaining the health of IT infrastructure components for improved reliability and availability is a research and innovation topic for many years. Identification and handling of failures are crucial and challenging due to the complexity of IT infrastructure. System logs are the primary source of information to diagnose and fix failures.

In this work, we address three essential research dimensions about failures, such as the need for failure handling in IT infrastructure, understanding the contribution of system-generated log in failure detection and reactive & proactive approaches used to deal with failure situations.

This study performs a comprehensive analysis of existing literature …

Analysis Of Recent Trends In Continuous Sign Language Recognition Using Nlp, Vijayshri Nitin Khedkar, Sonali Kothari Dr, Aarohi Prasad, Arunima Mishra, Varun Saha, Vinay Kumar

Library Philosophy and Practice (e-journal)

Oralism is an ideology and practice that advocates communication that is based solely on speech. This practice is encouraged from a pretty early age in our country. As a consequence, the hard of hearing are constantly forced to negotiate with schools, colleges, organisations, workspaces, and families that don’t acknowledge the need and preference for sign language over oral languages. This results in inconsideration of an entire community for admissions, jobs and general social position. We aim to close that communication gap a little and take a step towards fighting the stigma associated with Sign Language. The aim is to provide …

Bibliometric Survey On Predictive Analysis Using Multiple Regression For Invoice Generation System, Chetana Nadekar, Subodh Awate, Dattatray Damse, Smita Khairnar

Library Philosophy and Practice (e-journal)

The research is exploring the opportunities available for the application of Predictive analysis using multi regression for invoice generation systems. We work by analyzing the data generated and saved in the database of the clinic. This database contains the financial operations along and also contains other useful information that is being gathered about the patients.

We are proposing a different approach for a billing system to make the task easier for the generation of invoices for the clinic. The mapping of the relational data and using a predictive model that is based on a regression analysis that will predict the …

Bibliometric Analysis Of One-Stage And Two-Stage Object Detection, Aditya Lohia, Kalyani Dhananjay Kadam, Rahul Raghvendra Joshi, Dr. Anupkumar M. Bongale

Library Philosophy and Practice (e-journal)

Object Detection using deep learning has seen a boom in the recent couple of years. Observing the trend and its research, it is important to summarize bibliometrics related to object detection which will help researchers contribute to this subject area. This paper details bibliometrics for one-stage object detection and two-stage object detection. This uses Scopus database for data analysis. This also uses tools like Sciencescape, Gephi, etc. It can be observed that the advancements to the field of object detection are seen in recent years and explored to its full extent. It is observed that Chinese universities and researchers are …

A Bibliometric Analysis Of Plant Disease Classification With Artificial Intelligence Based On Scopus And Wos, Shivali Amit Wagle, Harikrishnan R

Library Philosophy and Practice (e-journal)

The maneuver of Artificial Intelligence (AI) techniques in the field of agriculture help in the classification of diseases. Early prediction of the disease benefits in taking relevant management steps. This is an important step towards controlling the disease growth that will yield good quality products to fulfill the global food demand. The main objective of this paper is to study the extent of research work done in this area of plant disease classification. The paper discusses the bibliometric analysis of plant disease classification with AI in Scopus and Web of Science core collection (WOS) database in analyzing the research by …

Bibliometric Survey On Zero-Knowledge Proof For Authentication, Adwait Pathak, Tejas Patil, Shubham Pawar, Piyush Raut, Smita Khairnar, Dr. Shilpa Gite

Library Philosophy and Practice (e-journal)

Background: Zero Knowledge Proof is a persuasive cryptographic protocol employed to provide data security by keeping the user's identity, using the services anonymously. Zero Knowledge Proof can be the preferred option to use in multiple circumstances. Instead of using the public key cryptographic protocols, the zero-knowledge proof usage does not expose or leak confidential data or information during the transmission. Zero Knowledge Proof protocols are comparatively lightweight; this results in making it efficient in terms of memory. Zero Knowledge Proof applications can reside in authentication, identity management, cryptocurrency transactions, and many more. Traditional authentication schemes are vulnerable to attacks …

Estimating Remaining Useful Life In Machines Using Artificial Intelligence: A Scoping Review, Sameer Sayyad, Satish Kumar, Arunkumar Bongale, Anupkumar Bongale, Shruti Patil

Library Philosophy and Practice (e-journal)

The remaining useful life (RUL) estimations become one of the most essential aspects of predictive maintenance (PdM) in the era of industry 4.0. Predictive maintenance aims to minimize the downtime of machines or process, decreases maintenance costs, and increases the productivity of industries. The primary objective of this bibliometric paper is to understand the scope of literature available related to RUL prediction. Scopus database is used to perform the analysis of 1673 extracted scientific literature from the year 1985 to 2020. Based on available published documents, analysis is done on the year-wise publication data, document types, language-wise distribution of documents, …

Zooming Into The Pandemic! A Forensic Analysis Of The Zoom Application, Andrew Mahr, Meghan Cichon, Sophia Mateo, Cinthya Grajeda, Ibrahim Baggili

Electrical & Computer Engineering and Computer Science Faculty Publications

The global pandemic of COVID-19 has turned the spotlight on video conferencing applications like never before. In this critical time, applications such as Zoom have experienced a surge in its user base jump over the 300 million daily mark (ZoomBlog, 2020). The increase in use has led malicious actors to exploit the application, and in many cases perform Zoom Bombings. Therefore forensically examining Zoom is inevitable. Our work details the primary disk, network, and memory forensic analysis of the Zoom video conferencing application. Results demonstrate it is possible to find users' critical information in plain text and/or encrypted/encoded, such …

Time Series Data Analysis Using Machine Learning-(Ml) Approach, Mvv Prasad Kantipudi Dr., Pradeep Kumar N.S Dr., S.Sreenath Kashyap Dr., Ss Anusha Vemuri Ms

Library Philosophy and Practice (e-journal)

Healthcare benefits related to continuous monitoring of human movement and physical activity can potentially reduce the risk of accidents associated with elderly living alone at home. Based on the literature review, it is found that many studies focus on human activity recognition and are still active towards achieving practical solutions to support the elderly care system. The proposed system has introduced a joint approach of machine learning and signal processing technology for the recognition of human's physical movements using signal data generated by accelerometer sensors. The framework adopts the concept of DSP to select very descriptive feature sets and uses …

Bibliometric Of Feature Selection Using Optimization Techniques In Healthcare Using Scopus And Web Of Science Databases, Rahul Joshi, Harita Gadikta, Saneeka Kharat, Soumi Mandal, Kalyani Kadam, Anupkumar M. Bongale Dr., Siddhant Pandit

Library Philosophy and Practice (e-journal)

Feature selection technique is an important step in the prediction and classification process, primarily in data mining related aspects or related to medical field. Feature selection is immersive with the errand of choosing a subset of applicable features that could be utilized in developing a prototype. Medical datasets are huge in size; hence some effective optimization techniques are required to produce accurate results. Optimization algorithms are a critical function in medical data mining particularly in identifying diseases since it offers excellent effectiveness in minimum computational expense and time. The classification algorithms also produce superior outcomes when an objective function is …