Reviewerly/exHarmony huggingface dataset:
MotoPrint: Reconfigurable Vibration Motor Fingerprint Via Homologous Signals Learning

Device fingerprints can satisfy the high-security requirement of modern mobile applications (e.g., mobile payments) by guaranteeing the operation is performed on a trusted device. However, existing works on device fingerprints are weak to leakage, which leads to an irreversible failure of the device fingerprint authentication system after suffering from fingerprint theft attacks. The vulnerability drives us to propose a reconfigurable device fingerprint, i.e., <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">MotoPrint</i> , that can recover the system after suffering from such attacks. <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">MotoPrint</i> stems from the motor vibration that can represent in both signals of the accelerometer and the gyroscope (i.e., they are homologous motion signals). Therefore, we designed a two-path feature extracting network and a sensor-independent training strategy to eliminate sensor noise that can decline authentication performance. In addition, <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">MotoPrint</i> has a complete reconfiguration mechanism to cope with fingerprint leakage, which brings the damaged authentication system back to health. The evaluation of 80 stand-alone vibration motors and 20 in-built ones shows that <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">MotoPrint</i> can achieve high authentication accuracy of 98.5%. Meanwhile, we also demonstrate the reconfigured <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">MotoPrint</i> , which can also effectively indicate the device's uniqueness with over 98% accuracy, is independent of <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">MotoPrint</i> s under other stimulating codes.
Book Review: Metadata, Third Edition

The third edition of Zeng and Qin’s Metadata, first published in 2008 and expanded in a second edition in 2016, offers a fully updated overview of the latest developments in metadata standards, practices, and tools, with special attention paid to the areas of linked data, open science, and digital humanities. In this latest revised edition, the authors provide updated links to web resources, discuss the most current versions of relevant metadata standards, survey newly developed standards and best practices, and introduce new advances in semantic web technologies.
Application of Augmented Reality in Product Packaging: Challenges and Development Opportunities

Abstract Augmented reality is considered to be one of the fastest growing and most promising trends in marketing. This paper analyses the use of augmented reality for advertising purposes by integrating augmented reality into product packaging. There are solutions for the application of augmented reality in product packaging around the world, but in Lithuania, the application of augmented reality in product packaging is still rare. Research problem is formulated as the question: what are the challenges and development opportunities for the application of augmented reality in product packaging? Expert opinion and the results of a customer survey, which show at which stages of the AIDA model using augmented reality in product packaging could be effective, are presented in this article.
Automated Structural Evaluation of Block-based Coding Assignments

As computer science is integrated into a wider variety of fields, block-based programming languages like Snap!, which assemble code with visual blocks rather than text syntax, are increasingly used to teach computational thinking (CT) to students from diverse backgrounds. Although automated evaluators (autograders) for programming assignments usually focus on runtime efficiency and output accuracy, effective evaluation of a student's CT skills requires assessing coding best practices, such as decomposition, abstraction, and algorithm design. While autograders are commonplace for text languages like Python, we present a machine learning approach to assess how effectively block-based code demonstrates understanding of CT fundamentals. Our dataset consists of Snap! programs written by students new to coding and evaluated by instructors using a CT rubric. We explore how to best transform these programs into low-dimensional features to allow encapsulation and repetition patterns to emerge. Experimentation involves comparing the effectiveness of a suite of clustering models and similarity metrics by analyzing how directly automated feedback correlates to the course staff's manual evaluation. Lastly, we demonstrate the practical application of the autograder in a classroom setting and discuss scalability and feasibility in other domains of CS education.
Co-aligning User-Centered Design and Software Engineering Courses

Introducing students to different perspectives and roles in the development process allows them to engage in the work of cross-disciplinary diverse teams and even can enable them to change roles in designer-developer interactions. Industry work often places recent graduates in preexisting polarized relationship dynamics between different participants in the design and development process. This paper describes a two-stage attempt at co-alignment of software engineering and user-centered design courses: from full alignment with topic intersections and joint project to partial alignment through separate activities. We discuss challenges of both ways including time or technical constraints, increased effort from the program developers and instructors, students' and instructors' frustrations. We finalize by describing benefits of providing students with early experience identifying trade-offs between design requirements and architecture and opportunities for diverse group with different background in computer science.
Using Knot Mosaics to Introduce Undergraduates to SAT

Knot mosaics are combinatorial representations of mathematical knots. Boolean satisfiability (SAT) is an important NP-complete problem, and SAT solvers are practical software implementations to solve SAT problems. SAT solvers are rarely used in undergraduate classes, and the learning curve for SAT is steep. For our contribution, we developed a lecture and a homework assignment for undergraduate students to work with SAT formulas, to draw knot mosaics, and to run SAT solvers for counting knot mosaics. The assignment has been developed over three semesters. The assignment includes a skeleton Python encoding with over 750 lines of Python code and function documentation. We surveyed the students about their experiences with and perceptions of the assignment as well as their comments for improving the assignment. On the survey, students overwhelmingly agreed that they learned about SAT and knots, and the students earned high grades on the assignment, showing that their perception of learning was true. Our future work includes clarifying one of the assignment problems where students struggled.
Analyzing Readability of Academic Paper Abstracts for ESL Learners across Various Computer Science Subfields

English is the primary language used in computer science (CS) papers. Students who use English as a second language (ESL) often face the challenge of learning both CS and English simultaneously. This paper sought to explore an underexplored research question: Which subfields of CS are particularly difficult for learners to read as English text? We built a highly accurate automatic readability assessor and applied it to evaluate 38 subcategories of CS subfields based on approximately 460,000 CS abstracts submitted to arXiv. We found that approximately 75% of these abstracts were readable by intermediate-level English learners. In addition, discrete mathematics appears to be the easiest subfield for ESL readers as English text, whereas digital libraries are the most difficult. These results imply that the degree of language support ESL learners need to read abstracts vary widely according to the CS subfield.
A Hands-on Digital Forensic Lab to Investigate Morris Worm Attack

We have developed a hands-on digital forensic lab to investigate the Morris Worm attack. In the poster, after the attack, we demonstrate a systematic approach to reconstructing the attack scenario by analyzing the worm's running processes, the networking communication used by running processes, and metadata of the files left on victims' machines.
Non-majors Explore Less Well-Known Contributors to Computing

A typical US college student who is asked to name people who have made significant contributions to computing will likely produce a short, predictable, fairly homogeneous list. To help increase awareness of the diversity of people involved in computing, we introduced a biography project into an introductory non-majors course at a small liberal arts college. With each student exploring and presenting on the life and contributions of a less well-known contributor to computing, the class is exposed to a number of people that students likely haven't heard of previously. Moreover, with fairly open-ended requirements for the assignment, we can learn what students find interesting and noteworthy about these individuals, perhaps finding ways to more broadly increase awareness.
Evaluation of the Impact of Modality for Equity Program

In this poster, we investigate the impact of online versus in-person summer equity programs. We designed and implemented a summer bridge program from 2020 through 2022 and collected pre- and post-survey data from students to measure the program's impact on students' self-concept, science motivation, growth mindset, help-seeking and concealment attitude, science identity, and sense of belonging.
AAnim

Video streaming platforms are a major source of information for computer science students, where data structures and algorithms can be illustrated by means of animation. Our Python library, AAnim, aids a content creator in making such videos without any special expertise. Given a list of data structure queries or an input graph, our library creates a high-quality video that illustrates both how the data structure evolves and how these changes occur in the algorithm's pseudocode. The data structure's layout is generated automatically, further alleviating the difficulty in creating such videos. Example animations are available at https://youtube.com/playlist?list=PL-UJL8NI-eS5HQDoomg1rMfou5eO-OwuP.
A Modified Hooke–Jeeves Algorithm in Two-Player Nonlinear Static Game: With an Application in Forest Management

Strategy considerations for optimal outcomes play the key roles in every decision-making problems. Game theory in itself preserves the sustainability to draw some decision-making conclusions. Different forms of game exist in literature. This article is concerned with two-player nonlinear static game. We consider here the solution of the game problems through the algorithmic structures, with some modification, of Hooke–Jeeves (HJ) algorithm which is a tool to encounter unconstrained optimization. Basically, we lay emphasis on the modification of the considered function which is to be optimized. Hence, the name of the proposed algorithm is modified HJ algorithm. Numerous articles present different solutions of various real-life problems using HJ algorithm. Forest management problem is considered here under modified HJ algorithm to get solution. This article concludes with some comparative analysis with respect to some different methods, for example, analytical method and graphical method. Our proposed methodology gives better results than the results obtained in analytical method and graphical method with respect to optimal strategy sets and optimal payoff values.
SCIM: Simultaneous Clustering, Inference, and Mapping for Open-World Semantic Scene Understanding

In order to operate in human environments, a robot’s semantic perception has to overcome open-world challenges such as novel objects and domain gaps. Autonomous deployment to such environments therefore requires robots to update their knowledge and learn without supervision. We investigate how a robot can autonomously discover novel semantic classes and improve accuracy on known classes when exploring an unknown environment. To this end, we develop a general framework for mapping and clustering that we then use to generate a self-supervised learning signal to update a semantic segmentation model. In particular, we show how clustering parameters can be optimized during deployment and that fusion of multiple observation modalities improves novel object discovery compared to prior work. Models, data, and implementations can be found at github.com/hermannsblum/scim .
Heavy Mineral Distribution of Gercus Formation in Shaqlawa and Dokan Area in Northern Iraq

From the Gercus Formation, eight samples were taken, ranging from fine grain sandstone to extremely fine grain sandstone.In comparison to other heavy metals, In the heavy metals examination, the opaque mineral had the highest percentage.Transparent minerals, such as metastable and unstable minerals, such as Amphibole, including Hornblend and Glaucophane (Epidote, staurolite, Garnet, Kyanite), reveal metamorphic sources.Mica group minerals, ultrastable minerals (Zircon, Rutile, Tourmaline) (Chiorite,Biotite and Muscovite), Mafic igneous and metamorphic rocks, as well as acidic igneous and reworked sediments, are frequently used to create heavy minerals , according to these accumulations.The ternary diagram of heavy metal stability showed that they are relatively stable because of the impact of the opaque mineral that draws the greatest attention.Both types of sandstone are used in construction.
The Effectiveness of Online Learning for UNIKS FTK Students During the Covid-19 Pandemic (Empirical Study of UNIKS FTK Students)

The purpose of this study was to analyze the effectiveness of the implementation of online learning for FTK UNIKS students during the Covid-19 Pandemic. This research is a combination of qualitative and quantitative research (Mixed Methods). Data and information were collected through a questionnaire (questionnaire). The population in this study were students of the Faculty of Tarbiyah and Teacher Training (FTK) semester 2, 4 and 6 of the 2021/2022 academic year, totaling 216 students and a sample of 79 students obtained from students who filled out a questionnaire randomly. Data were analyzed descriptively from questionnaires by compiling distribution tables and displaying data in the form of diagrams. Data analysis techniques used Milles and Huberman's. The results of the study show that In general, the implementation of online learning for UNIKS FTK students during the Covid-19 pandemic was quite effective with a percentage of 60-79%. The results of the questionnaire on the implementation of online learning for FTK UNIKS students who have less effectiveness with 55% effectiveness are in practical activities.
An Analysis Students’ Ability In Understanding English Affixes

Affixation is the process of adding an affix to a word to form a new word with a different meaning. In learning affixation there some problem makes students difficulties understanding affixes. The problems are the students’ difficulties understanding the affixes material in online class, the students’ difficulties to explain example and word formation of affixes in power point display without white board in online class. In this study, the researcher uses Descriptive Analysis Method. Data were collected through interview guide to find the students’ ability in understanding English Affixes. Focus Group Discussion (FGD) to find the students’ ability in understanding English Affixes and the students’ understanding kinds of affixes. There are several things about students’ ability to understand English Affixes was good such us: students can interpret the meaning of affixes, the students can provide example of affixes, students can give statement about affixes, student can explain the process of affixes, students can conclude affixes material.
Digital Literacy Strengthen Based of Cycle Learning-Constructivism on GeoGebra Strategy Training

One of application that can be used in education is GeoGebra. GeoGebra improved the quality of the learning process, increased the creativity of educators in learning processes, and upgraded understanding and knowledge of virtual learning media. The profile of educators is expected to be educators who are able to provide good learning. Therefore, this activity makes educators have the ability to operate or use technology-based learning media such as the GeoGebra application. The strategy carried out is a GeoGebra workshop or training for Mathematics educator in Sorong, West Papua, Indonesia. The implementation of this training or workshop is carried out of participant active learning or direct online practice educators. The online media used are ebooks called EPUB, that enhance and strengthen digital literacy. This workshop based on cycle learning-construktivism in GeoGebra training. The benchmark used as an indicator of the success of this activity is the output produced by educators, such GeoGebra skills and collection of teaching guide with GeoGebra learning media.
Reassessing Constructions in the ARTEMIS Parser

The aim of this study is to reexamine the status of constructions in ARTEMIS (Automatically Representing TExt Meaning via an Interlingua-based System), a Natural Language Understanding prototype that seeks to provide the syntactic and semantic structure of a given fragment in a natural language. The architecture of ARTEMIS has been designed to conform to the tenets of the Lexical Constructional Model (LCM), a theory in which constructions are a central tool for the linguistic description of languages. However, since ARTEMIS is a computational device, there are many formalization requirements which involve the adaptation of the LCM, a process which necessarily leads to reconsidering several issues, as are: (i) what counts as a constructional structure; (ii) how constructions contribute to parsing operations in ARTEMIS; and (iii) the location and the format of constructional patterns.
The Frauds in Banking and Entrepreneurs by Electronic Devices and Combating Using Software and Employment of Demilitrized Zone in the Networks

The malpractices and frauds are exponentially rising in developed and developing countries among entrepreneurs, banking as well as medium-sized companies. The criminals are utilizing the most modern information technology structures and such electronic media to accomplish their offense regarding fraud to cause wrongful loss and harm in the areas of white collar crimes, banking, business, and to individuals. The purpose of this research paper is to make these companies realize the essence of using the most recent, most reliable, and most authentic software and the need to make their networks more secure from outside attacks. The use of advanced features of tracking and hacking confidential information using information technology resources enables criminals to achieve their objectives. Basically, their modes of Operandi depend upon dishonesty and deception to complete the offense. In banking and white-collar frauds most of the time the employees of the concerned organizations are involved, who help and collaborate with external criminals by passing confidential information. Fraud is constituted by parody, distortion, misrepresentation, and twisting the fact/truth or concealment of real information detrimental to someone else. The legislation seems very naïve to punish a criminal who has committed fraud. There are several reasons for criminals to escape, for example, their identity most of the time remains hidden. Lack of evidence, feeble investigation, and naïve role of the prosecution in the court of law enable the criminals to go towards exoneration and release. The paper also presents an analysis of various types of fraud existing in society and how to combat them effectively. The main objective of fraudsters is to deprive people or entrepreneurs of their money, property, valuable documents, and private information. The authors of this paper express their deep concern about taking strict measures to safeguard the rights of bank customers by introducing the most recent software versions and the government must introduce stern and stringent legislation in this direction.
DEVELOPMENT OF THE STUDENT'S CREATIVITY, AS A COMPONENT OF INNOVATIVE TECHNOLOGIES FOR QUALITY TRAINING OF SPECIALISTS

The rapid technical and economic development taking place in the world has put forward the urgent need for innovative changes in the training of modern specialists in higher education institutions. This contributed to the introduction of several measures related to digitalization and the development of distance learning. The work is devoted to the problem of finding relevant components of innovative technologies in the educational process. The expediency of moving away from the active use of multimedia technologies, especially with additional explanations that are easy to understand, but exclude the process of independent analysis and thinking, is noted. It is proposed to develop and apply methods that combine the education of individual qualities of the student with the content and methods of the educational process, with active interaction with computer technology and external factors. Among the external factors, the expediency of increasing the practical training of future specialists, especially in positions that developmental activity and personal opinion of a person, is noted. It is a mental activity that modern students are missing, especially in those universities where teachers, wishing to introduce new computer innovations, do not leave room for the development of creativity. After all, it is the creative mind that strives for new knowledge, ensures the student's interest and helps to improve the quality of learning.
NLP-Based Conversion of Telugu Scientific Terms in Telugu Medium Textbooks into English

Abstract: Telugu is the native language of those who reside in the Indian states of Telangana and Andhra Pradesh. While many students in Andhra Pradesh and Telangana study in the English medium, some students study in the Telugu medium because of budgetary and other issues. Despite having many skills, Telugu medium students cannot compete with English medium students since they only learn everything in Telugu. As a result, Telugu medium students encounter some challenges when they need to study for competitive examinations, show up for interviews, and continue their education in the English language. If they learn the meaning of important and repeated Telugu scientific terms in English while studying in the Telugu medium, then they can overcome this situation. This project extracts Telugu scientific terms from Telugu textbooks and translates them into English using a frequency-based approach. An attempt was made to help them with learning English terminology in this project