Reviewerly/exHarmony huggingface dataset:
Teaching Ubiquitous Computing Using Simulations Based on Smartphone Sensors

Mark Weiser coined the term Ubiquitous Computing (UbiComp) describing a future in which everyday life-objects would have embedded computers providing services anytime and anywhere.This paradigm is theme recurrent in many graduate courses of Computer Science around the world.To better understand the challenge of teaching Ubiquitous Computing (Ubi-Comp), we surveyed 15 professors and 60 graduate and undergraduate students from 16 universities.According to this survey, the two most challenging Ubicomp concepts to explain in a lecture are context-awareness and middleware platforms.Results also showed professors' difficulty in finding tools to assist the practical teaching of UbiComp's concepts.Current UbiComp tools require high programming skills or they are not designed for educational purposes.Therefore, this work presents the design, development, and evaluation of LUCy (Learning Ubiquitous Computing Easily), a Virtual Learning Environment which aids UbiComp practical classes.LUCy has two main elements: a Web tool and an Android mobile app.The former provides UbiComp theory materials, videos, practices, and simulations.The latter uses smartphones features and sensors to run simulations of UbiComp concepts.We evaluated LUCy during Context-Awareness classes in UbiComp courses, at the same university, along with three distinct semesters.In different three sessions, we gathered information about LUCy's pedagogical and usability issues.Then, we performed a quasi-experiment using a pretest and posttest design methodology with twentyseven students.Results showed LUCy practices significantly improves students reasoning about Context-Aware concepts.
Development of Interactive Learning Media with Adobe Animate CC in Basic Programming Learning at SMK Negeri 1 Kabanjahe

This study aims to: (1) Develop interactive learning media with Adobe Animate CC applications in Basic Programming Subjects, (2) Know the feasibility of using Interactive learning media with Adobe Animate CC applications in Basic Programming Subjects, (3) Know the effectiveness of media use Interactive learning with the Adobe Animate CC application on Basic Programming Subjects.This research is a Research and Development (R&D) research with research procedures using the ADDIE model.Development of interactive learning media, consisting of 5 stages, namely: (1) Analysis: Conducting needs analysis), (2) Design: Determine the performance achieved and the selection of appropriate test methods, (3) Develop: Generate and validate learning resources, (4) Implement: Preparing the Learning Environment and Including Students, ( 5) Evaluate: Make final improvements according to the advice and processing of data obtained.Determination of the feasibility level of interactive learning media based on the validation test of experts and trials to students and continued with the effectiveness test.Overall, based on the assessment of material experts and media construction experts as well as the results of student trials and effectiveness tests, it can be concluded that interactive learning media with Adobe Animate CC on learning is appropriate and more effective in improving student learning outcomes.
An Assessment of Cohesion and Coherence in Students’ Descriptive and Narrative Essays: The Case of Sodo Preparatory School Grade Eleven Students’

This study is aimed to assess the students' use of cohesion and coherence in their descriptive and narrative essays.It was conducted at Sodo Preparatory School on grade 11 students.The descriptive research design was employed to achieve the intended aim of the study.In this study, 30 grade eleven students were selected as participants through simple random sampling technique.Document analysis was used to collect data from the sample students.The data collected through document analysis was analyzed qualitatively based on the analysis parameters of cohesive devices; such as, substitution ellipsis, reference, conjunction and lexical cohesion to determine meaningfully (coherently) written students' essays.The findings revealed that students' used a variety of cohesive devices in each genre of writing except ellipsis and they employed all the other sub categories of cohesive devices in their (descriptive and narrative) essays.However, among the frequently used cohesive devices, the largest numbers of connectors were inappropriately instanced regarding the total use of devices.The students' inappropriate use of cohesive devices mainly appeared with conjunction, followed by reference, lexical cohesion, and substitution signals.As a result, the essays lacked consistent key expressions, clear purpose of the statement, and the logical shift from one sentence to the other.Based these findings, conclusions and recommendations were made.
Fit2Crash: Specialising Fitness Functions for Crash Reproduction

Software applications inevitably crash, and it is time-consuming to recreate the crash conditions for debugging. Recently, researchers have developed frameworks relying on genetic algorithms, e.g. Botsing, for automated crash reproduction. However, the existing approaches process exceptions of different types as if they were the same. In this thesis, we study how the four most common types of Java exceptions are thrown and define specialised fitness functions for them. We have extended Botsing and carried out an evaluation against 52 real-world crashes from seven various open-source software applications. Our results show that our proposed fitness functions influence both the effectiveness and efficiency, negatively or positively depending on the type of the target exception. This thesis demonstrates how tailoring the fitness functions according to the exception type can improve search-based crash reproduction.
Towards A Blockchain-based Decentralised Educational Landscape

Institutions in the current educational landscape op- erate independently. They exhibit reluctance in sharing their teaching and qualifications with others due to the fear of dam- aging individuality. This practice, however, is counterproductive for the students as they suffer from various difficulties and get deprived of certain benefits. In this paper, we explore the possibility of finding a solution to this deadlock. We argue that Blockchain-based decentralisation can offer a passageway where educational institutions get to keep their individuality but participate in collaborations to help overcome the problems students undergo. Our principal contribution in this paper is a conceptual educational landscape to show how institutions could potentially manage record-keeping, credential verifications, and continued career support in a decentralised environment.
On an Attempt to Explore the Possible Challenges Faced during the Solid Waste Management using ISM Methodology

Following research work focuses on exploring the possible challenges for solid waste management practices in developing countries such as India .It compares the two methodologies of qualitative decision making i.e.ISM and Fuzzy ISM methodologies for establishing the interrelationship amongst them.
LibGuides: Using the Library Remotely: COVID-19 News Sources

This guide will help faculty and students navigate the library resources during full or partial campus closure events.
Segmentation of the Electrocardiography Images as a Tool to Identify Heart Diseases

The heart is a very vital organ. Cardiac examination can be done periodically by using an electrocardiograph. So that the heart's condition can be known. One of the optimization in helping the detection of heart disease automatically by using computer assistance. Automatic detection can be done by image processing methods as input, especially ECG images that have been segmented. In this study, ECG image segmentation is carried out through several stages, such as grayscalling, contrast enhancement, and segmentation. The hope, the results of this study can be used as input for automatic detection of heart disease.
LibGuides: Alternative Educational Resources During COVID-19: Educational Resource Offers

Many publishers are offering free access to their resources during the COVID-19 crisis. This is a compilation of known offers available to Johnson & Wales University.
LibGuides: Remote Learning - Professional Resources: Home

Websites, online tools, and information resources for teachers during an extended closure due to the coronavirus (COVID-19) outbreak
LibGuides: Getting Started at University: e-learning and eBooks (30 mins+)

If you're new to university or returning to study after a break, this guide includes our top tips and guidance on finding your feet and information on how to develop your core academic skills.
T-Kids: Innovative ways of educating elementary school children in the STEM skills

In this contribution we discuss our experiences as a large ICT company that has educational initiatives for various target groups among our strategic priorities. We believe in passion for information technology (IT) and its sharing with children–and we believe this helps our company in the future to thrive and satisfy our customers. This does not happen automatically, but through our investment into innovative learning approaches for the children at the elementary school levels, we can (i) inspire them at young age for IT, for new technologies or agile work, (ii) open up their potential in areas that many believe are not for them, and (iii) increase the overall level of digital skills in the region and thus make it a more attractive place for our future employees. We feel responsible for nurturing partnerships with local schools and thus paying back to the region where majority of our employees live and have their families. We believe in a role model company and want to lend our hand not only in the business sphere but also in the world beyond business. T-Kids has been inspired by criticism from various sources of the quality and depth of teaching STEM skills at the schools in Slovakia. Although this project represents a tiny drop in the educational landscape, its impact is in showing that a change is possible and that it is enthusiastically welcome by the children.
Exploring the possibilities with shared spreadsheets in gathering and analyzing information on the usage of study rooms in a university library

In autumn 2018, a team within the Mid Sweden University Library decided to advance the usage of different methods inspired by the perspectives within the field of “UX” to study the use of the learning spaces in the library. A special project concerned the students’ use of group study rooms. Here the library employed a method where student mentors working for the library gathered basic statistical data through observations. The student mentors measured the usage of the study rooms, seats used, technology used in the rooms, sound levels etcetera at several time points each day. The information was continuously registered in a shared Google sheet that also worked as the basic tool for the analysis. The results of the study gave important guidance for the development of the study rooms and the learning environment in general. More importantly, the use of Google and the shared process of collecting and analyzing information was seen as a rewarding learning experience by the student mentors and the involved library staff.
Depth image simplification

The stereoscopic vision is widely used to acquire depth information, distances between objects, as well as obstacle detection. In this work, a method that reduces the amount of data to obtain depth information for a specific scenery is proposed. The method reduces a 640x480 size image to a 3x3 matrix, simplifying the instructions and decision making for an actuating device. Excellent results were obtained with a 3 seconds processing time by using Python 3.7.2, Opencv 4.0.1, and two Logitech C170 web cameras.
Power Flow Calculation Based Newton-Raphson Calculation

Since the use of electronic computers for power flow calculations in the mid-1950s, power flow calculation has been one of the most researched areas of power system problems, and a large number of research results have appeared. In addition to exploiting various special-purpose power flow calculation problems, these achievements are more specific algorithms that have been proposed in order to improve computing performance. The problem of power flow calculation is generally a problem of solving multivariate nonlinear algebraic equations in mathematics. It must be calculated by the method of stacking.
Image compression and encryption algorithm based on advanced encryption standard and hyper-chaotic system

An image compression and encryption algorithm by combining the advanced encryption standard (AES) with the hyper-chaotic system is designed, in which Arnold map is employed to eliminate part of the block effect in the image compression process.The original image is compressed with the assistance of a discrete cosine transform and then its transform coefficients are encrypted with the AES algorithm.Besides, the hyper-chaotic system is adopted to introduce the nonlinear process for image encryption.Numerical simulations and theoretical analyses demonstrate that the proposed image compression and encryption algorithm is of high security and good compression performance.
LibGuides: Database Searching: Search Our Library

Learn how to select a library database for your research topic and how to use the databases to find sources on your topic.
Cross-Platform Personal Life Management App Using Data Analytics

Personal life management apps are needed to solve problems relate to poor productivity and procrastination by managing an individual’s life in a day-to-day basis with reminders, to-do lists and habit tracking functions. The problem is, these apps are available separately and it may be costly to build one app across multiple platforms. Having a single personal life management app would save time, reduce stress, build user’s confidence and help user get things done. This app would be essential in helping people keep their life on track and continue to improving themselves further. The proposed system is a cross-platform app that has features of to-do list, calendar and simple analytics
Subject & Study Guides: AIT Library Response to COVID-19: E-Resource Access Issues

This Guide brings together all of AIT Library's information on remote and onsite services during Covid-19 for staff & students.
Kinematic Modeling of a Six Wheeled Differential Drive Intelligent Robot and Potential Field Method to Attain Obstacle Avoidance Capability

This paper presents the kinematic modeling of a six-wheeled differential-drive mobile robot on the basis of potential field method to avoid obstacles. The position of the robot in the simulation is tested from an initial point to a final point in presence of a rectangular shaped obstacle and obstacle avoidance by the robot is observed. The entire kinematic modeling and testing are conducted using MATLAB Simulink.
ANALYSIS OF BACHELOR’S CURRICULUM OF THE SPECIALTY 014.01 SECONDARY EDUCATION. UKRAINIAN LANGUAGE AND LITERATURE

The article focuses on the analysis of the curriculum and educational and professional training program of bachelors of specialty 014.01 Secondary Education.Ukrainian Language and Literature.It is noted that the need for updating the content of education is caused by processes of integration of the educational system to the European educational space, the introduction of a competent approach in educational activities, the requirements of academic mobility.It is emphasized that teachers of the Ukrainian language and literature form active members of society who respect national traditions and the state.The preparation of future teachers of the Ukrainian language and literature involves a deliberate process based on the curriculum, educational profile of specialty, educational and professional program, taking into account state standards and other normative documents.It is noted that the process of studying at the bachelor's degree is aimed at the applicants' for higher education the formation of higher and general competences.The main forms of organization of higher education students of the first (bachelor) level include lectures, practical sessions, seminars and students' independent educational activities.It is revealed that the curriculum contains disciplines related to the cycles of general, professional training, as well as the cycle of selective disciplines.The bachelor's educational program necessarily includes educational (classroom) work and teaching practice in educational establishments.It contains all the disciplines that are in the curriculum of the specialty in accordance with program competences and learning outcomes.The educational program has 1 integrated competence, 13 general and 16 professional competences.It is found that the educational program contains 68 learning outcomes, which testify the degree of competences' development within the chosen specialty.
PRIVACY PRESERVING PHOTO SHARING ON SOCIAL NETWORK

With the development of social media technologies, sharing photos in online social networks has now become apopular way for users to maintain social connections with others. However, the rich information contained in a photo makes it easier for a malicious viewer to infer sensitive information about those who appear in the photo. How to deal with the privacy disclosure problem incurred by photo sharing has attracted much attention in recent years. When sharing a photo that involves multiple users, the publisher of the photo should take into all related users’ privacy into account. In this paper, we propose a trust-based privacy preserving mechanism for sharing such co-owned photos. The basic idea is to anonymize the original photo so that users who may suffer a high privacy loss from the sharing of the photo cannot be identified from the anonymized photo. The privacy loss to a user depends on how much he trusts the receiver of the photo. And the user’s trust in the publisher is affected by the privacy loss. The anonymiation result of a photo is controlled by a threshold specified by the publisher. We propose a greedy method for the publisher to tune the threshold, in the purpose of balancing between the privacy preserved by anonymization and the information shared with others. Simulation results demonstrate that the trust-based photo sharing mechanism is helpful to reduce the privacy loss, and the proposed threshold tuning method can bring a good payoff to the user
SJSU Research Guides: Online Library Resources and Services: Writing and Citing

This guide contains information about the library resources and services that are available during the COVID-19 closure.
Campus transfer machine self-service, Usability, SUS Scale

Purpose]Conduct usability testing on campus transfer machine self-service, sort out and analyze the service availability, and find directions and goals for self-service technology in campus context.[Method]Taking South China University of Technology as an example, through the service blueprint method, the existing service processes and contact points are searched for task entry points.The questionnaires are used to find the two most frequently used self-services, and 20 users were randomly invited to complete these two task tests in the established application context.The collaborative process and the vocal thinking method are used in the test process, and the test data is compiled by the retrospective test method, the research samples need to fill in the SUS questionnaire after completing the task, evaluate availability through three dimensions of satisfaction, effectiveness, and efficiency.Dimensions to assess their usability.Finally, the observation of 20 research samples is summarized in the usability problem, and the results are summarized and analyzed through comparative test.[Results] Low availability score for existing transfer machines.[Conclusion]The existing campus storage machine has poor service availability, and the problems of visual and cognitive links are prominent.It is proposed that in the design and development stage, user behavior research precedes functional classification; design iteration phase, timely on-demand information architecture matching design suggestions, it has a design guiding role for campus self-service design.
Malvern in The Sunday Times as "thriving hub" of cyber start-ups

Malvern was the subject of a Sunday Times article over the weekend, with the spotlight on how the rural Worcestershire town has become a major national cyber security hub.
Context Independent Speaker Classiﬁcation

Speaker classiﬁcation is an essential task in the machine learning domain, with many practical applications in identiﬁcation and natural language processing. This work concentrates on speaker classiﬁcation as a subtask of general speaker diarization for real-world conversation scenarios. We research the domain of modern speech processing and present the original speaker classiﬁcation approach based on the recent developments in convolutional neural networks. Our method uses a spectrogram as input to the CNN classiﬁer model, allowing it to capture spatial information about voice frequencies distribution. Presented results show beyond human ability performance and give strong prospects for future development.
Use Google My Business Posts to Get Your Reviews Seen

You might have heard the story about a young girl who came home from school to find her mom cutting the ends off of the pot roast prior to cooking it. ...
LibGuides: UBorrow Guide: FCS & SUS ILL Unit Codes and Names

This guide is the beginnings of comprehensive information about UBorrow and the AlephILL client.
Classifying Hand Gestures using Artificial Neural Networks for a Robotic Application

This project serves to design and fabricate a robotic arm that imitates the movements of a biological human arm. The open source design was modified, and individual parts were 3D printed for assembly. Servo-motors act as the muscles, pulling nylon strings connected to the fingers that will perform hand gestures. The Myo Armband is used to collect the electromyographic (EMG) signals from the forearm of the test subject to train an artificial neural network (ANN) having 35 different classes consisting of the American Sign Language. Once the Artificial Neural Network is trained, it was used in real-time classification to make predictions for the robotic arm. Using a two-layer feed forward network, accuracies for offline training reached a recognition rate of 94.7 percent. Previous prosthetic advancement has been too expensive for the general population. Our goal is to build an inexpensive alternative.
Can Mainstream Smart Technology Support Homeless People Leaving Homelessness

We present a work to create a user-informed practice on how to use smart technology as support for homeless people. The practice challenge traditional methods used by the Social Service Administrat ...
LibGuides: Reading Digital Content: Newspapers

This guide will help you identify different types of information you are likely to find online
Reform and Practice of Online Shop Opening in Higher Vocational Colleges Based on Innovation and Entrepreneurship

Starting from the perspective of innovation and entrepreneurship, combining with the characteristics of higher vocational students and e-commerce courses, this paper takes “online store opening” as a breakthrough point to complete the teaching design and teaching implementation oriented to innovation and entrepreneurship.