Reviewerly/exHarmony huggingface dataset:
BiVis: Interactive and Progressive Visualization of Billions (and Counting) Items

Recent advances in information visualization have shown that building proper structures to allow efficient lookup in the data can reduce significantly the time to build graphical representation of very large data sets, when compared to the linear scanning of the data. We present BiVis, a visualization technique that shows how such techniques can be further improved to reach a rendering time compatible with continuous interaction. To do so, we turn the lookup into an anytime algorithm compatible with a progressive visualization: a visualization presenting an approximation of the data and an estimation of the error can be displayed almost instantaneously and refined in successive frames until the error converges to zero. We also leverage the spatial coherency of the navigation: during the interaction, the state of the (possibly partial) lookup for the previous frames is reused to bootstrap the lookup for the next frame despite the view change. We show that those techniques allow the interactive exploration of out-of-core time series consisting of billions of events on commodity computers.
Effects of Moving Speed and Phone Location on Eyes-Free Gesture Input with Mobile Devices

Using smartphones while moving is challenging and can be dangerous. Eyes-free input gestures can provide a means to use smartphones without the need for visual attention from users. In this study, we investigated the effect of different moving speeds (standing, walking, or jogging) and different locations (phone held freely in the hand, or phone placed inside a shoulder bag) on eyes-free input gestures with smartphone. Our results from 12 male participants showed gesture’s entering duration is not affected by moving speed or phone location, however, other features of gesture, such as length, height, width, area, and phone orientation, are mostly affected by moving speed or phone location. So, eyes-free gestures’ features vary significantly as the user’s environmental factors, such as moving speed or phone location, change and should be considered by designers.
Eyes on Teleporting: Comparing Locomotion Techniques in Virtual Reality with Respect to Presence, Sickness and Spatial Orientation

This work compares three locomotion techniques for an immersive VR environment: two different types of teleporting (with and without animation) and a manual (joystick-based) technique. We tested the effect of these techniques on visual motion sickness, spatial awareness, presence, subjective pleasantness, and perceived difficulty of operating the navigation. We collected eye tracking and head and body orientation data to investigate the relationships between motion, vection, and sickness. Our study confirms some results already discussed in the literature regarding the reduced invasiveness and the high usability of instant teleport while increasing the evidence against the hypothesis of reduced spatial awareness induced by this technique. We reinforce the evidence about the issues of extending teleporting with animation. Furthermore, we offer some new evidence of a benefit to the user experience of the manual technique and the correlation of the sickness felt in this condition with head movements. The findings of this study contribute to the ongoing debate on the development of guidelines on navigation interfaces in specific VR environments.
A Systematic Literature Review on Development of Green Financing in SAARC Countries

The Covid-19 crisis has pulled back the 17 Sustainable Development Goals (SDGs) of the 2030 Agenda for Sustainable Development in emerging and advanced economies.A systematic literature review was conducted to explore the status, hindrances and opportunities available to boost the green financing in SAARC countries.The study found that Bhutan and Maldives stands at top in average energy efficiency score, while Afghanistan and Nepal at lowest.Emerging economies including India, Pakistan, Bangladesh, Bhutan and Sri Lanka has already introduced and facilitated green bonds to the investors.However, lack of funds, transparency and accountability are some of the major hindrances in the development of green economy in SAARC countries.Low sovereign credit rating and poor rating of the bonds issuer are the serious issues which pulls back investors to invest in green bonds.Along with better parity between risk-return and maturity, factors including financial development (backed with green technologies), technological advancement, carbon pricing and green bonds, can act as a base to boost green financing in SAARC countries.Governments, financial institutions and even non-banking financial institutions are working in coordination to develop green infrastructure and emerge as a green leader.This systematic literature review will be helpful for academicians, professionals and to the policy makers, in better understanding of the green market in SAARC countries.The policy makers can take the findings, hindrances and suggestions as a base for the development of environment friendly policies.
CLOUD-BASED BIGBLUEBUTTON IMPLEMENTATION SUPPORTS VIRTUAL MEETINGS AT RRI MEDAN

Virtual meetings have become an important necessity in today's digital era, especially in the midst of the COVID-19 pandemic which requires limiting physical contact. Various platforms exist to provide online meeting solutions. One platform that can be used for virtual meetings is the cloud-based BigBlueButton. This platform has been actively used in internal and external meetings, saving travel and time costs, as well as increasing work productivity and effectiveness. This research aims to implement BigBlueButton as a solution to support virtual meetings at RRI Medan. In this study, BigBlueButton is implemented using cloud infrastructure to increase system scalability and availability. Data collection methods used are direct observation, interviews, and secondary data collection. The results of the study show that the implementation of cloud-based BigBlueButton has succeeded in increasing the efficiency and flexibility of virtual meetings at RRI Medan. This study contributes to expanding understanding of the use of cloud-based BigBlueButton to support virtual meetings in the RRI Medan environment.
Application of TOPSIS for Selecting D2C Website Development Platform

Online shopping is an emerging trend in the e-commerce business.Developing an e-commerce website is the basic requirement to scale the business of any store digitally.Hence website development projects, specifically Direct-toconsumer website projects are increasing day by day, for which selecting the best website development platform is a difficult and important decision for the project manager.This paper proposes the solution to this problem by using multi-criteria decision-making method, TOPSIS to select the best website development platform.TOPSIS helps to evaluate these platforms on the basis of features and the services provided by the platform for developing and maintaining any D2C website.
Fabrication of Affordable Electric Wheelchair by Retrofitting

A wheelchair is an assistive technology that helps individuals who are unable to move normally owing to injury or other age-related walking impairments (permanent or under treatment).All electric wheelchairs are quite costly and not affordable.Availability of all electric wheelchair will improve the quality of life of the disabled.To make the Electric wheelchair available at lower cost, the possibility of retrofitting a wheelchair is investigated.24V 13.4A BLDC motors are used and controllers are modified.Speed control is achieved using Arduino, Joystick and L293N motor drivers.Retrofitting an existing wheelchair into an electric wheelchair will take care of the ergonomics as well as all the norms in designing the wheelchair.The retrofitted wheelchair successfully carried a 100kg person at a speed of 20kmph.
The Challenges of Total Quality Management's Implementation on Organizational Performance Within Governmental Entities in Sharjah

This study aims to investigate and provide a comprehensive understanding of the many factors and c h a l l e n g e s that affect applying TQM principles in the public sector.This objective will be achieved throughout the duration of this research.Initially, we anticipate that the study will focus on TQM applications in Sharjah's governmental organization.The selection of these organizations was based on the fact that they have a direct impact on the quality of life of Sharjah's residents as they consider to be a service provider.The rationale behind selecting these organizations in specific will be explained further in the methodology chapter.Building o n Sharjah leader's vision regarding, improving the quality management and productivity of the public sector in the Emirate, that it is timely to address the challenge of poor productivity and wastage in public services by sound implementation of quality management on all aspects of project delivery in Sharjah.In order to address the research challenges, t h e current situation of public services delivery must be investigated and documented through an in-depth literature review.
Assessment Framework for Employees Job Satisfaction Levels in News Channel

The paper primarily aims to understand the employees job satisfaction levels in news channels using the multi-grade fuzzy approach.Job satisfaction level will enable news channels to evaluate their current level of employees and their expectations, identify strong and weak attributes, and thereby make necessary improvements to them.The employees' job satisfaction index of case-news channel is an average of 7.23, which indicates that the current job satisfaction level in the news channel is 'highly satisfied.'The study was further extended to find the weaker attributes using Importance Performance Analysis.The case-news channel's weaker attributes were found to be "remuneration", "promotion", "position", "sick leave", and "social support".This framework will help news channel's managers to measure the job satisfaction of employees and give more importance to the weaker attributes to boost their job satisfaction level.
Design of Robotic Arm

Modern engineering courses provide students with exposure to the theory and derivations of problems.In order for future engineers to effectively prepare to apply their engineering education to problems in industry, it is vital that engineering students take courses in which they can learn how to integrate different engineering topics and apply theoretical knowledge to industry problems.The objective of this project is to develop an educational platform that both integrates and applies the knowledge that a mechanical engineering student learns during their undergraduate career i.e design and fabrication aspects of a 3D printed robotic arm.Also require knowledge and integration of mechanical engineering, mechatronics, programming and manufacturing principles and will require students to explore and integrate knowledge from various engineering disciplines, including dynamics (forward and inverse kinematics), stress and strain analysis, FEA and topology optimization, mechatronics
DETEKSI OTOMATIS NOMINAL UANG KERTAS RUPIAH UNTUK TUNANETRA MENGGUNAKAN ALGORITMA ARSITEKTUR SSD MOBIILENETV3

Money is a legal tender in the buying and selling transactions of society. However, visually impaired people face visual limitations that affect their ability to recognize the value of Rupiah banknotes. Although Rupiah banknotes already have a blind code feature, this is often ineffective due to the condition of the banknotes. In this study, we use Artificial Intelligence technology, especially deep learning, to help visually impaired people recognize the value of Rupiah banknotes more easily. Our system is built using Convolutional Neural Network (CNN) technique with MobileNetV3 architecture and Single Shot Multibox Detector (SSD) algorithm. The results show that our system is able to operate well under various lighting conditions, including daytime and nighttime. Under sufficient lighting conditions, the system achieves an accuracy of between 80% to 95%. However, we acknowledge that in low-light or nighttime conditions, our system has problems detecting banknotes. Thus, this research contributes to the effort of improving the accessibility of visually impaired people in recognizing Rupiah banknotes, although we also recognize the need for more attention to address low lighting conditions in future development.
Prelim

Special Issue on Covid-19 Pandemic and African Economies (Including a Revised Text of the Second Thandika Mkandawire Annual Memorial Lecture)
An Analysis of Roof Rainwater Harvesting: A Catalyst to Water Demand Management

Yearly, the rainy season always happens globally, especially in the Asia Pacific. Where water is directly on the soil, roof, plants, etc. without proper harvesting, this water may cause damage in many aspects, such as over watering to the plants, soil, erosion, bacteria, and germs that cause viruses to begin to grow if it has been tainted y dirt and other impurities. So, proper harvesting of roof rainwater is important because it will be utilized for bathrooms, laundry, garden irrigation, etc. The Information and Communication Technology building of Isabela State University – Ilagan Campus was utilized in this study. This paper presents the average rainfall, which represents the monthly average, water availability, water demand, and water storage. As stated, the water demand is 2500 liters per day, which equals about 75000 liters per month. Wherein the amount of water that can be collected from the roof is larger than the water demand. The finding of this paper was extremely beneficial to the campus because they presented the entire details of the roof rainwater harvested in liters which will serve as the basis for utilization.
An Approach to Storing and Sharing Digitally Signed Documents using IPFS

There is a long and hectic process involved in getting the documents verified by the higher-ups and the documents undergo a series of changes and modifications before getting the final approval.Our proposed system provides a secure way to exchange, verify, modify, and comment out the changes performed on the document.The process begins with the creation of a digital document by a user.The document is then encrypted and stored on the IPFS.The user can then share the document with other authorized parties by using their unique ID's.When a party receives the document, they can verify its authenticity and contents using the cryptographic hash of the document stored on the IPFS.If the document meets their requirements, they can then sign and encrypt it using their private key.
Finding the Perfect Fit: Applying Regression Models to ClimateBench v1.0

Climate projections using data driven machine learning models acting as emulators, is one of the prevailing areas of research to enable policy makers make informed decisions.Use of machine learning emulators as surrogates for computationally heavy GCM simulators reduces time and carbon footprints.In this direction, ClimateBench [1] is a recently curated benchmarking dataset for evaluating the performance of machine learning emulators designed for climate data.Recent studies have reported that despite being considered fundamental, regression models offer several advantages pertaining to climate emulations.In particular, by leveraging the kernel trick, regression models can capture complex relationships and improve their predictive capabilities.This study focuses on evaluating non-linear regression models using the aforementioned dataset.Specifically, we compare the emulation capabilities of three non-linear regression models.Among them, Gaussian Process Regressor demonstrates the best-in-class performance against standard evaluation metrics used for climate field emulation studies.However, Gaussian Process Regression suffers from being computational resource hungry in terms of space and time complexity.Alternatively, Support Vector and Kernel Ridge models also deliver competitive results and but there are certain trade-offs to be addressed.Additionally, we are actively investigating the performance of composite kernels and techniques such as variational inference to further enhance the performance of the regression models and effectively model complex non-linear patterns, including phenomena like precipitation.
Web Forensics on Instagram Services using National Institute of Justice Method

The rapid development of technology has made people increasingly exchange information and make transactions through social media.One of the social media sites that can be used is Instagram.The use of the Instagram application can have a positive or negative impact.The number of Instagram users makes this application vulnerable to abuse, such as online scams among Instagram users.This research aims to obtain digital evidence of online shop fraud cases on Instagram that run on the Mozilla Firefox web browser and apply web forensics to Instagram services.The research object that will be discussed in this research is the Instagram application, which runs on the Mozilla Firefox web browser platform.This research implements the investigation process using the National Institute of Justice method.The National Institute of Justice method has five stages of research: preparation, collection, examination, analysis, and reporting.The tools used in this research are FTK Imager, Browser History Examiner, and HXD.The results of this research obtained results in the form of one username and one password used by the perpetrator to log into his Instagram account, the date and time of accessing Instagram, the web browser used, the cache image in the form of two images or posts that have been deleted by the perpetrator, 21 conversations, and one upload that has been deleted by the perpetrator.
Image Forensics to Detect Image Authenticity using Error Level Analysis and Noise Analysis Methods

Digital development is so rapid that it is easy to change the image, especially the image on the image.It can be made and changed as desired if taking the definition of a digital image itself is evidence of information technology presenting an object in a computer device.Processing images like this is easy, even without leaving a trace of its use.The rapid development of editing tools makes manipulating image images easier for technology users.There are examples of three image manipulation techniques: splicing imagery, copy-move image, and retouching imagery.Image manipulation can also be dangerous because there are many cases of spreading unsubstantiated hoax news, including the spread of fake photos.If left unchecked, this will impact thinking and visualization, where people cannot distinguish between real and fake news.This is the basis for conducting this research, detecting changes in an image using the Error Level Analysis and Noise Analysis methods.This research is expected to produce and provide good results in detecting these image objects to help users and increase knowledge.
Deep Learning based Analysis of Stream Ciphers A5/1 and RC4

In this paper, we present the analysis of stream ciphers by using deep learning methods to detect and expose their vulnerability.For this, A5/1 and RC4 stream ciphers are chosen as they both are popular and known to have several security vulnerabilities.In this paper, these vulnerabilities are exposed in the form of 'bias' detection using the deep learning methodology.
The Mediating Effect of Employee Behavior on Strategic Human Resource Management Practices and Organizational Performance in Jordanian Telecommunication Companies

The ability of managers to make strategies and decisions to improve performance is increased by their awareness of the elements that affect organizational performance, making it one of the key concerns for both profit-making and nonprofit organizations. Therefore, the present study aims to propose a conceptual framework for the mediating effect of employee behavior on strategic human resource management practices and organizational performance in Jordanian telecommunication companies. Strategic human resource management strategies have a favorable direct impact on organizational performance, according to a comprehensive evaluation of the research. Furthermore, a thorough study of the literature revealed that strategic approaches to human resource management have a favorable direct impact on employee behavior. While this was going on, a thorough review of the literature revealed that employee conduct positively affected organizational performance directly. Future research should analyze the conceptual framework utilizing sophisticated statistical techniques to examine the prior hypotheses and deliver the findings to decision- makers and managers in Jordanian telecommunication businesses, according to the study's recommendations.
EXAMINING STUDENT TEACHERS' OPPORTUNITIES AND BARRIERS ASSOCIATED WITH FORMATIVE ONLINE ASSESSMENTS AT A UNIVERSITY OF TECHNOLOGY

During the COVID-19 pandemic, many sectors were affected including education.As a result of this pandemic, university lecturers had to change their pedagogic practices, teaching and learning approaches, and assessment strategies.Due to the suspension of face-to-face activities, the use of Information Communications Technology (ICT) was accelerated, and most universities were forced to adopt online assessment strategies.The Central University of Technology (CUT) like many universities around the world used online assessments to assess its students during this period.This study examined opportunities and barriers to using formative online assessments.Twenty (20), first and second-year Bachelor of Education student teachers were purposively selected to participate in this study.The student teachers were interviewed after participating in their respective online test that was part of their formative assessment.Telephonic interviews were conducted to collect data.The interviews were then analysed to determine the possible opportunities and challenges that student teachers experience during the formative online assessments.The findings revealed by integrating technology for teaching, learning, and assessment can enhance student teachers' ICT skills.Student teachers also believed that the approach helped them to be actively involved in their learning and enhance their participation in their learning.Several challenges and barriers were recognized as well.Student teachers described how ICT competencies and inadequate ICT infrastructures, in our country, such as poor internet connectivity and lack of ICT equipment, limited their ability to fluidly engage in formative online assessments.The study provides suggestions for future research that can contribute to understanding online assessments and proposes better approaches to online assessments at the CUT.