Reviewerly/exHarmony huggingface dataset:
PRIVACY PRESERVATION FOR TRANSACTION INITIATORS: STRONGER KEY IMAGE RING SIGNATURE AND SMART CONTRACT-BASED FRAMEWORK

Recently, blockchain technology has garnered support. However, an attenuating factor to its global adoption in certain use cases is privacy-preservation owing to its inherent transparency. A widely explored cryptographic option to address this challenge has been ring signature which aside its privacy guarantee must be double spending resistant. In this paper, we identify and prove a catastrophic flaw for double-spending attack in a Lightweight Ring Signature scheme and proceed to construct a new, fortified commitment scheme using the signer’s entire private key. Subsequently, we compute a stronger key image to yield a double-spending-resistant signature scheme solidly backed by formal proof. Inherent in our solution is a novel, zero-knowledge-based, secured and cost-effective smart contract for public key aggregation. We test our solution on a private blockchain as well as Kovan testnet along with performance analysis attesting to efficiency and usability and make the code publicly available on GitHub.
Naming Practices in Object-oriented Programming: An Empirical Study

Currently, research indicates that comprehending code takes up far more developer time than writing code. Given that most modern programming languages place little to no limitations on identifier names, and so developers are allowed to choose identifier names at their own discretion, one key aspect of code comprehension is the naming of identifiers. Research in naming identifiers shows that informative names are crucial to improving the readability and maintainability of programs: essentially, intention-revealing names make code easier to understand and act as a basic form of documentation. Poorly named identifiers tend to hurt the comprehensibility and maintainability of software systems. However, most computer science curricula emphasize programming concepts and language syntax over naming guidelines and conventions. Consequently, programmers lack knowledge about naming practices. This article is an extension of our previous study on naming practices. Previously, we set out to explore naming practices of Java programmers. To this end, we analyzed 1,421,607 identifier names (i.e., attributes, parameters, and variables names) from 40 open-source Java projects and categorized these names into eight naming practices. As a follow-up study to further investigate naming practices, we examined 40 open-source C++ projects and categorized 1,181,774 identifier names according to the previously mentioned eight naming practices. We examined the occurrence and prevalence of these categories across C++ and Java projects and our results also highlight in which contexts identifiers following each naming practice tend to appear more regularly. Finally, we also conducted an online survey questionnaire with 52 software developers to gain insight from the industry. All in all, we believe the results based on the analysis of 2,603,381 identifier names can be helpful to enhance programmers’ awareness and contribute to improving educational materials and code review methods.
Improving Deaf Children's Writing Skills using Learning Card Series

A person who experiences hearing loss that hinders the process of language information through hearing, whether wearing a hearing aid or not wearing a hearing aid. Whereas someone who lacks hearing is someone who usually uses a hearing aid, the rest of their hearing is enough to allow for the success of the language process through hearing. Language development is a complex process and is something interesting to study. The same goes for the language development of deaf children. So with the problems that occur in deaf children that will also have an impact on how deaf children learn, there is a need for media that can improve the language skills of deaf children, especially in expressive writing ability, where this expressive writing ability is the highest ability in language acquisition (Tarigan: 1994) Skills raised on This research is how to make a whole sentence, practice in using a word that has a blow, get to know many new objects, and how to use time sentences and place description.
A Desktop Application to Help Speakers Switch Slides by using AI and Voice Recognition

Presentation is a skill that everyone has, and it is very commonly seen in companies, schools, conferences, etc [1]. And the purpose of a slide is to give the audience a better understanding of the topic and to add ideas that they forgot to mention [2]. It also adds visual support to the speaker's discussion. Usually the presenter held a slide remote or just used their computer to control the slide pace while presenting. However, the slide remote can often be unstable due to battery switching. Even those who do not have a slide remote are unable to ensure a smooth presentation because they need to constantly switch back and forth on the computer screen with the mouse, which not only makes the speaker more nervous but also likely to skip the slide. Slidecontroller uses existing AI technology, voice recognition, as a medium to allow users to enter the transition word used to switch slides [3]. For example, when the user enters "Now I am going to talk about'' when this word is spoken the Slidecontroller will receive the voice and match the speaker's turn to the next slide. The user can be creative with the keyword selection that best fits their presentation vibe. Or the user could use the Slidecontroller default option which controls the slide by simply saying “Next” to go to the next slide, “Previous” to go to the previous slide, and “Thank you” to stop the App to prevent from catching a similar keyword that accidentally switches the slide [4].
A Belief Revision Mechanism with Trust Reasoning based on Extended Reciprocal Logic for Multi-Agent Systems

When an agent receives messages from other agents, it does belief revision. A belief revision includes, i) a trust reasoning process, i.e., it obtains new belief related to the messages, and deduces implicitly unknown beliefs from the obtained belief; ii) in the case of contradiction in the belief set, it resolves the contradiction. So, trust reasoning, and belief revision must be included in the decision-making process of an intelligent agent in multi-agent systems. Although a belief revision mechanism with trust reasoning is demanded to construct multi-agent systems, there is no such belief revision mechanism. We, therefore, present a belief revision mechanism with trust reasoning based on extended reciprocal logic for multi-agent systems.
Blind Space Time Block Coding Categorization over AF Relaying Broadcasts

Categorization of space time block code (STBC) signals has become widely acknowledged as a crucial foundational mechanism for creating intelligent wireless transmissions in both the governmental and business sectors. The use of multiple antennas at a broadcaster complicates a signal categorization task because assumptions about the number and transmission matrix of the sent antennas must be made. STBC categorization has only been investigated in the context of non-relaying environments, and no methods for relaying transmissions have been reported. This work proposes a revolutionary strategy for categorizing STBC signals that can be implemented in amplify-and-forward (AF) relaying networks. Time-domain characteristics of the STBC waveforms provide the basis of the mathematical ingredients used in the offered categorization process. The employed STBC waveform is reflected in the spikes observed in the fast Fourier transform of the second-order lag product of the collected waveforms. This creates the foundation for an effective discriminating feature. Advantages of the described strategy include not requiring any prior awareness of the modulation type, channel conditions, signal-to-noise ratio (SNR), or the block timing synchronization of the STBC waveforms. The indicated strategy has been shown through simulation experiments to be capable of providing appropriate categorization accuracy despite the existence of transmission faults, even at relatively low SNR levels.
Technological View on Smart Waste Management

The sustainable development goal of society, need of healthy environment and due to growing population quantity of solid waste increases rapidly drives the smart waste management. Since it is unhealthy for humans who involve in manual waste management those field works need automation. The Artificial Intelligence provides the way to achieve the automation to collect and process the solid waste with the help of Internet of Things, Cloud Computing and Intelligent Transport System. We explored the technological development towards the implementation of smart waste management to support further development in this domain.
CMATA: Cyber Trafficking Monitoring and Tracking Prototype

With the evolution of the Internet, trafficking has broader and borderless operations targeting virtual spaces where individuals of different ages can be subjected to cyber trafficking. Despite the government's efforts to combat cyber trafficking, the growing number of cases is alarming. One apparent reason is that traffickers keep advancing their technical strategies, so it becomes more challenging for law enforcement to investigate complex and transnational organized crime. Thus, this paper presents the development of a cyber monitoring and trafficking web application integrated with a web scraper that identifies websites with a high probability of being used in cyber trafficking activities. The web scraper was written using Beautiful Soup. With the result of the sensitivity analysis conducted in the study, beautiful soup was determined to be the most suitable tool for developing web scraping algorithms based on performance, portability, and accuracy compared with the Scrapy and Selenium tools. Upon the initial testing of the developed prototyped in tracking and monitoring suspected cyber traffickers, it was able to scrape 45 potential trafficking websites. The initial testing result shows that this kind of application integrated with a scraper to identify cyber traffickers with a visualization dashboard can help law enforcement officers identify, track, and monitor online traffickers easily and quickly.
CLICK: INTERACTIVE APP FOR READING COMPREHENSION

For the past decades, technology has been used as a revolutionary aid for education. With recent innovations, it served as a new platform for learning. Since the stirring of the COVID-19 pandemic and the series of global lockdowns, an increase in mobile use has been observed. It solidifies technological innovations grounding as a mode of learning. This study was conducted using the close-group tutorial employing the Accomplish Reading Application as an intervention for remediation among slow learners of primary-grade English. It employed the experimental design where it compared the pre- and post-intervention test results. Indeed, the use of a mobile interactive application is an effective strategy to enhance the comprehension skills of the pupils as observed in their improved and increased test scores.
Prime-Field Masking in Hardware and its Soundness against Low-Noise SCA Attacks

A recent study suggests that arithmetic masking in prime fields leads to stronger security guarantees against passive physical adversaries than Boolean masking. Indeed, it is a common observation that the desired security amplification of Boolean masking collapses when the noise level in the measurements is too low. Arithmetic encodings in prime fields can help to maintain an exponential increase of the attack complexity in the number of shares even in such a challenging context. In this work, we contribute to this emerging topic in two main directions. First, we propose novel masked hardware gadgets for secure squaring in prime fields (since squaring is non-linear in non-binary fields) which prove to be significantly more resource-friendly than corresponding masked multiplications. We then formally show their local and compositional security for arbitrary orders. Second, we attempt to &gt;experimentally evaluate the performance vs. security tradeoff of prime-field masking. In order to enable a first comparative case study in this regard, we exemplarily consider masked implementations of the AES as well as the recently proposed AESprime. AES-prime is a block cipher partially resembling the standard AES, but based on arithmetic operations modulo a small Mersenne prime. We present cost and performance figures for masked AES and AES-prime implementations, and experimentally evaluate their susceptibility to low-noise side-channel attacks. We consider both the dynamic and the static power consumption for our low-noise analyses and emulate strong adversaries. Static power attacks are indeed known as a threat for side-channel countermeasures that require a certain noise level to be effective because of the adversary’s ability to reduce the noise through intra-trace averaging. Our results show consistently that for the noise levels in our practical experiments, the masked prime-field implementations provide much higher security for the same number of shares. This compensates for the overheads prime computations lead to and remains true even if / despite leaking each share with a similar Signal-to-Noise Ratio (SNR) as their binary equivalents. We hope our results open the way towards new cipher designs tailored to best exploit the advantages of prime-field masking.
Fundamental Theorem of Calculus: Cognitive Demands and Learning Limitations on Mathematical Tasks

Background: Mathematical tasks for university teaching are generally of great cognitive demand, without thinking about the limitations they imply for their students. Objectives: To develop a theoretical analysis of the teaching limitations and cognitive demand of four tasks proposed for teaching calculus, specifically, the Fundamental Theorem of Calculus. Design: Qualitative paradigm, with a descriptive-interpretive approach, according to the nature of the data collected. Setting and Participants: The study is framed in a Colombian University, in the subject “Calculus II” for second-semester engineering students, where a professor designs the tasks to be implemented in this course. Data collection and analysis: The data correspond to the professor's lesson plans the statements of the main mathematical tasks within them. These plans were chosen based on availability and accessibility. A content analysis was conducted, considering as units of analysis the paragraphs or sets of paragraphs of the statement of each school mathematics task. Results: Most of the proposed tasks correspond to high cognitive demand (procedures with connections and mathematical construction) and only one was of low demand (memorisation). Moreover, each of the tasks presents its own cognitive demand and several learning constraints that, some of them, agree with the exposed literature. Conclusions: The work aims to have implications for higher education, since to think of a didactic proposal for a better approach to teaching is necessary to configure lesson plans that mobilise the learning of mathematics in engineering, but from the use of tasks with different cognitive demands, in which will vary from less to more, and lead to meaningful learning for the approach of new tasks.
Architecture Science Field Position in Dew and Fog Harvesting Research: A Bibliometric Analysis

Passive dew and fog harvesting is currently a topic that has begun to develop since the issue of climate change and the water crisis hit the world. Even though this topic is not new, its development has been very intense lately by many researchers from various disciplines. However, this topic has not yet become a major topic of conversation in the world of architecture. Therefore, this bibliometric research was carried out, to see the development of passive fog and dew harvesting research related to architectural science. At the same time to see opportunities for positions that can be filled by researchers and architects to contribute and collaborate on this topic. The database used is from Lens based on eleven keywords related to the topic of dew and fog harvesting. The dataset is then processed in Microsoft 365 Excel and VOSviewer to obtain a scientific mapping which will be interpreted afterwards. The results of this study indicate that there are positions that can be filled and there are still opportunities that can be researched on this topic by architectural scientists, particularly in relation to context, locality, community, sustainability, biomimetics, bioinspiration, and low technology.
A Systematic Literature Review on AI Algorithms and Techniques Adopted by e-Learning Platforms for Psychological and Emotional States

Computers are becoming increasingly commonplace in educational settings.As a result of these advancements, a new field known as CEHL (Computing Environment for Human Learning) or e-learning has emerged, where students have access to a variety of services at their convenience.Using an e-learning platform facilitates more efficient, optimized, and successful education.They allow for personalized instruction and on-demand access to relevant, upto-date material.These e-learning strategies significantly impact learners' emotional and psychological states, which in turn affect their abilities and motivations.Because of the learner's physical and temporal detachment from their tutor, encouraging learners can be challenging, leading to frustration, doubt, and ambivalence.The learner's drive to learn will be weakened, and their emotional and psychological state will be badly impacted as a result, both during and after the learning session.This research aimed to learn about the methods currently used by research facilities to analyze human emotions and mental states.The findings reveal that only e-learning has been used in education and other fundamental technologies, including machine learning, deep learning, signal processing, and mathematical approaches.A wide variety of e-learning-focused real-world applications make use of these methods.Each study subject is explained in depth, and the most frequently used methods are also examined.Finally, we provide a comprehensive analysis of the prior art, our contributions, their ramifications, and a discussion of our shortcomings and suggestions for future research.
Privacy and Integrity Verification Model with Decentralized ABE and Double Encryption Storage Scheme

To support a wide range of applications, cloud computing has a variety of services.It has a number of positive acceptance tales as well as a couple of negative ones including security breaches.The versatile usage of cloud services to store Sensitive and personal data in cloud become hesitated by many organizations because of security issues.A new model of relying on a third-party auditor (TPA) has been adopted to improve trust and entice adoption between cloud clients (CC).Hence, we require a dynamic approach to control the privacy and integrity problem that occur across the cloud computing.Decentralized Attribute based encryption techniques and FHE approach is used to overwhelmed the issues.In this proposed scheme, the integrity checking is verified and auditor by the TPA without have any knowledge of the data content and double encryption is performed on the data stored in cloud.the data owner encrypts the data using ABK-XE (Attribute Based Key generation with XOR encryption) technique and send it to tag server whose encrypt the data again using ECEA (Elliptical Curve Elgamal) algorithm and generate the signature and unique ID using SHA-1 algorithm then store the data in Cloud Environment.The proposed algorithm is an integration of auditing scheme with Symmetric key Encryption and Homomorphic Encryption.
Assessment of the Healthcare Administration of Senior Citizens from Survey Data using Sentiment Analysis

Healthcare is most frequently used by older people and understanding how they feel about the way healthcare administration gives them the attention and support they need, is crucial to building a healthcare system that is effective in meeting their needs.This study determined the seniors' opinions on the healthcare administration by employing SurveyMonkey, a robust online survey tool as an opinion miner.The study used the Orange application, which made data processing simple, to gauge the seniors' opinions toward healthcare administration by analyzing text sentiment using the VADER Sentiment Analysis, which may distinguish between the polarity of positive, negative, or neutral emotions as well as their intensity.Results showed that the majority of seniors (51.1%) had a negative response to healthcare administration, whereas 47.9% had a neutral response and 1.0% had a positive response.Based on the study, the government should enhance its senior citizens' healthcare services to better satisfy their demands and ensure their happiness.This is clear from the respondents' feedback regarding the services they would like to utilize and how they believe they may be improved.Additionally, the findings provided sufficient information for future consideration to enhance seniors' satisfaction with developmental activities and programs and improve healthcare administration.
Text2Simulate: A Scientific Knowledge Visualization Technique for Generating Visual Simulations from Textual Knowledge

Recent research has developed knowledge visualization techniques for generating interactive visualizations from textual knowledge.However, when applied, these techniques do not generate precise semantic visual representations, which is imperative for domains that require an accurate visual representation of spatial attributes and relationships between objects of discourse in explicit knowledge.Therefore, this work presents a Text-to-Simulation Knowledge Visualization (TSKV) technique for generating visual simulations from domain knowledge by developing a rule-based classifier to improve natural language processing, and a Spatial Ordering (SO) algorithm to solve the identified challenge.A system architecture was developed to structurally model the components of the TSKV technique and implemented using a Knowledge Visualization application called 'Text2Simulate'.A quantitative evaluation of the application was carried out to test for accuracy using modified existing information visualization evaluation criteria.Object Inclusion (OI), Object-Attribute Visibility (OAV), Relative Positioning (RP), and Exact Visual Representation (EVR) criteria were modified to include Object's Motion (OM) metric for quantitative evaluation of generated visual simulations.Evaluation for accuracy on generated simulation results were 90.1, 84.0, 90.1, 90.0, and 96.0% for OI, OAV, OM, RP, and EVR criteria respectively.User evaluation was conducted to measure system effectiveness and user satisfaction which showed that all the participants were satisfied well above average.These generated results showed an improved semantic quality of visualized knowledge due to the improved classification of spatial attributes and relationships from textual knowledge.This technique could be adopted during the development of electronic learning applications for improved understanding and desirable actions.