Reviewerly/exHarmony huggingface dataset:
Moving Accuracy Measurement of Omnidirectional Robot for MOAP and Wheelchair Tennis

Recently, many kinds of robots are developed and they collaborate with various things to help humans. Over the past few decades, industrial robots have been used in factory operations. Also, these robots such as vacuum cleaner robot, security robot, therapy robot and wheelchair robot can support humans for many operations. Thus, using robots and related technologies are very meaningful to enrich our lives. In the context of welfare, in many countries in the world there are millions of people with disabilities who rely on wheelchairs. In this paper, we present an omnidirectional robot and introduce two applications: Moving Omnidirectional Access Point Robot (MOAP) and Wheelchair for tennis. These applications required a precise control of omnidirectional robot. Therefore, we measured the accuracy of moving omnidirectional robot using supersonic signals. The results shows that the omnidirectional robot was controlled correctly, because the error rate in x direction was within 1.00 [%]. However, when the robot moved in y direction, the error rate was 2.9 [%].
Integrated Elements of Paragraph in UNISBA Student's Writing

Writing a scientific paper cannot be separated from academic activities carried out by students. In writing, they must apply the requirements of good paragraphs so they can be understood by the reader. One of the requirements for making a good paragraph is to combine the elements in it. However, in reality, there are still many students who have not paid attention to and applied these requirements in their writing. Therefore, this study aims to determine the extent of the suitability of the writings made by students with the given topic. In addition, it will help us in understanding if there has been good coherence between the ideas. The method used in this research is the descriptive quantitative method. The source of this research data is taken from the Google Form which must be filled out by students about writing. This study hypothesized that the students were able to write a good paragraph based on logical thinking, on a given topic. However, some of their writings are still not related to the elements of the paragraph. Thus, there is a need for writing classes or special guidance for students in improving their writing, especially in logical thinking. This will help us in finding out if there are any fallacies in their writing. This activity is very important, to do so that students’ writing can be better and of higher quality, both in terms of Indonesian grammar rules and logical thinking.&#x0D; Keywords: paragraph coherence, writing, logical fallacy
Social Cohesion Constrution in the Space of the Astana Gunungjati

Astana Gunungjati is a complex of cemeteries for Cirebon Sultanate kings and their descendants. The Kasepuhan Palace, Kanoman Palace, and Kacirebonan Palace are the three palaces or known as keraton that still serves as the current physical representation of the Cirebon Sultanate. Sunan Gunungjati, one of the kings, is also a Muslim evangelist or the Wali Songo, who is interred at Astana Gunungjati. One of the pilgrimage tourism attractions in Cirebon Regency is the tomb complex. Although the heritage values of the buildings and traditions are still well preserved, the social cohesion that is formed from the existence of the cemetery which has been established since the 14th century is not well documented. A component of the area’s intangible assets that must be documented for area conservation is social cohesion. The purpose of the research is to describe how the Astana Gunungjati space was built and how it contributed to social cohesiveness. The Assabiyah Concept from Ibn Khaldun is the approach method that is applied, along with the hermeneutic approach. The findings show the quality of the community such as (1) obedience to unwritten rules; (2) pride and sincerity to be a kuncen; (3) recognition of the existence of Sunan Gunungjati as King and Guardian who brings the truth of Islam. The study findings in the form of the construction of social cohesion became the material for the documentation of intangible heritage in this area.&#x0D; Keywords: cohesion-social-Assabiyah, hermeneutics, intangible-heritage
An Analysis of Cyberbullying A Case of the Pink Hair Girl Incident

In Chinas social media, Zheng Linghua suffered from negative comments and cyber violence for her pink hair colour. By basing upon this pink hair girl incident, this essay will talk about the anonymity of social media and connects this particularity of online community with misogynous comments. On social media, anonymity could diminish the emotional connection between comment recipients and comment senders and reduce the effect of taboo. As result, anonymity contributes to the raising of negative comments, enlarges the disparity between recipient and commenters and encourages the use of words relative to sexual humiliation. And the over-continuing conflict shown in this incident is also researched in this essay. It is the gift-return violence which keeps the online conflict going. This essay finds that for constituting a peaceful and friendly online community, it requires many efforts coming from different aspects. And it is important to see womens power and to let people realize the difference between real life and online life.
The impact of AI on business ecosystem development: pro and contra

Nowadays the rapid advancements in artificial intelligence (AI) have significantly transformed various industries, including the business ecosystem (Agrawal, A., Gans, J., &amp; Goldfarb, A., 2022). This study aims to examine the multifaceted impact of AI on business ecosystem development, considering both the positive and negative aspects mostly focused on developed countries.The positive effects of AI implementation on the business ecosystem are manifold. AI-powered technologies enhance productivity and efficiency, automate repetitive tasks, and optimize resource allocation(Floridi, L., 2019). Furthermore, AI algorithms enable businesses to gain valuable insights from large volumes of data, leading to improved decision-making processes and the identification of new market trends (Martin, R., &amp; McCrae, D., 2020). However, along with the promising prospects, there are notable concerns surrounding the implementation of AI in the business ecosystem. Ethical issues, such as privacy infringement and data security, arise due to the vast amounts of sensitive information processed by AI systems. (Davenport, T. H., &amp; Ronanki, R. (2018). Furthermore, the concentration of power in AI technologies within a few dominant players can lead to challenges related to market competition and access to AI-driven solutions.This study combines a comprehensive review of existing literature with case studies and expert interviews to provide a balanced assessment of the impact of AI on business ecosystem development. By analyzing real-world examples and industry cases, this research aims to shed light on the practical implications of AI implementation and identify strategies to mitigate potential risks and challenges.The findings of this study will contribute to the ongoing discussions surrounding the integration of AI technologies in the business ecosystem. The results will be of interest to policymakers, business leaders, and researchers, providing valuable insights into harnessing the potential benefits of AI while addressing the associated concerns.
Prevalence and Causes of Software Piracy among Tertiary Students in Ghana

In the era of the Knowledge Economy, Intellectual Property Rights (IPRs) have become a crucial aspect of the twenty-first-century environment. Software piracy, characterized by the unauthorized copying, downloading, sharing, selling, or installation of copyrighted software, remains a serious problem worldwide, and Ghana is no exception. Various forms of software piracy, such as software lifting, hard disk loading, counterfeiting, and unauthorized renting, are prevalent in the country, leading to negative economic consequences. These consequences include distorted competition, loss of tax revenue and jobs due to the absence of a legitimate market, and increased costs for recovery. The impact of software piracy affects the social well-being of the Ghanaian citizenry. This research aims to explore the causes and effects of software piracy in Ghana, especially among tertiary students, and proposes potential solutions. A quantitative survey design was used via an online questionnaire to collect data from a sample of 47 students in the tertiary institutions especially public universities in Ghana with backgrounds in IT and are familiar with evolving trends in IT. The findings revealed that software piracy is prevalent in the country as a result of a lack of awareness, poor economic conditions, and weak legal framework and/or enforcement. The study recommends increased public education and awareness, strict enforcement of laws related to software piracy, and the promotion of domestic software development as measures to address the menace.
Concluding Remarks

Systems of Concurrent Cyclic Multimodal Processes model the performance of various systems used in practice and which are characterized by periodic behavior. Typical examples of such systems are passenger rail systems, production systems, and public transport systems.
Pengembangan Media Pembelajaran Flashcard Bergambar Untuk Meningkatkan Kosakata Bahasa Inggris Pada Siswa Kelas 3 Di Sd Negeri Malangnengah II

This study aims to produce a product in the form of Flashcards with parts of body material inEnglish class 3 learning at SDN Malangnengah 2. The research method used in this research isusing research and development methods. This research uses the type of 4D development modelresearch (Define, Design, Develop and Disseminate). Data collection was carried out using aquestionnaire and observation. Data collection techniques were carried out using qualitative andquantitative data. Based on the validation from media and material experts, detailed results wereobtained, namely: media experts gave a value of "Strongly Agree" with a score of 3.84. Whilematerial experts gave a value of "Strongly Agree" with a score of 3.88. In the group test studentsget an average score of "Good". The flashcards used in the developed English learning processare declared feasible and can be used for the English learning process at SDN Malangnengah 2.
Analisis Keamanan Sistem Informasi terhadap Kesalahan Hardware di SMK Tri Ratna

The development of technology and information is an inevitable update in entering the 4.0 era. Hardware is always needed in various technologies, whether computers or other technologies. Hardware can work according to its function if the computer has set the Instruction set including input, process, output, storage, and troubleshooting. Troubleshooting is one way to manage information security with the aim of ensuring the suitability of IT (Information Technology) practices by optimizing IT security policies and standard Operating Procedures (SOPs) in the use of hardware in the Tri Ratna Vocational lab. In order for the implementation of IT security policies and standard operating procedures (SOPs) to be optimized, interviews and analysis of any deficiencies and problems that often occur. Then the research team provides solutions or proposals to optimize the application of IT Security Policy, SOP and Daily Activity. Because with the application of IT Security Policy, SOP (Standard Operating Procedure) and daily activity that is precise, clear and firm, then every device available in the computer lab will be able to run according to its use and function optimally and the protection carried out against hardware can run optimally.
Playing Stackelberg Security Games in Perfect Formulations

Protecting critical infrastructure from intentional damage requires foreseeing the strategies of possible attackers. The problem faced by the defender of such infrastructure can be formulated as a Stackelberg security game. A defender must decide what specific targets to protect with limited resources, maximizing their expected utility (e.g., minimizing damage value) and considering that a second player (or players), called attacker, responds in the best possible way.Since Stackelberg security games are generally NP-Hard, the main challenge in finding optimal strategies in real applications is developing efficient methodologies for large instances. We propose a general methodology to find a Strong Stackelberg Equilibrium for Stackelberg security games whose set of defenders’ mixed strategies can be represented as a perfect formulation. This methodology consists of two steps. First, we formulate the problem using variables representing the probabilities of each target being defended. The formulation must be either a polynomial-size MILP and/or a MILP with an exponential size of constraints that can be efficiently separated through branch-and-cut. In the second step, we recover the mixed strategies in the original space efficiently (in polynomial time) using column generation. This methodology has been applied in various security applications studied in the last decade. We generalize and propose new examples. Finally, we provide an extensive computational study of different formulations based on marginal probabilities.
A Novel Approach for Image Encryption with Chaos-RNA

In today’s information society, image encryption technology is crucial to protecting Internet security. However, traditional image encryption algorithms have problems such as insufficient chaotic characteristics, insufficient randomness of keys, and insecure Ribonucleic Acid (RNA) encoding. To address these issues, a chaos-RNA encryption scheme that combines chaotic maps and RNA encoding was proposed in this research. The initial values and parameters of the chaotic system are first generated using the Secure Hash Algorithm 384 (SHA-384) function and the plaintext image. Next, the Lü hyperchaotic system sequence was introduced to change the image’s pixel values to realize block scrambling, and further disturbance is achieved through spiral index sequence to enhance encryption effectiveness. Subsequently, to obtain the final encrypted image, the diffusion is accomplished through different RNA encoding rules and operation rules corresponding to the chaotic sequence generated by an improved one-dimensional chaotic map (1DCM). Here innovatively propose four new RNA operation rules, increasing the difficulty of decryption. Simulation results demonstrate that the normalized pixel change rate (NPCR) and the unified average changed intensity (UACI) values of the tested encrypted images were 99.61% and 33.46%, respectively. The average ciphertext entropy value in the Red Green Blue (RGB) channels were 7.9986, 7.991, and 7.991. Furthermore, this algorithm exhibits a low correlation coefficient and enhanced robustness. This encryption method effectively improves the security and reliability of image encryption compared to other similar techniques.
Threat Modeling and Application Research Based on Multi-Source Attack and Defense Knowledge

Cyber Threat Intelligence (CTI) is a valuable resource for cybersecurity defense, but it also poses challenges due to its multi-source and heterogeneous nature. Security personnel may be unable to use CTI effectively to understand the condition and trend of a cyberattack and respond promptly. To address these challenges, we propose a novel approach that consists of three steps. First, we construct the attack and defense analysis of the cybersecurity ontology (ADACO) model by integrating multiple cybersecurity databases. Second, we develop the threat evolution prediction algorithm (TEPA), which can automatically detect threats at device nodes, correlate and map multi-source threat information, and dynamically infer the threat evolution process. TEPA leverages knowledge graphs to represent comprehensive threat scenarios and achieves better performance in simulated experiments by combining structural and textual features of entities. Third, we design the intelligent defense decision algorithm (IDDA), which can provide intelligent recommendations for security personnel regarding the most suitable defense techniques. IDDA outperforms the baseline methods in the comparative experiment.
APPLICATION FOR DATA INTEGRATION BETWEEN SECTIONS AT THE CLASS I IMMIGRATION OFFICE OF TPI CIREBON

1st Class Cirebon Immigration Office have developed various information systems to support the immigration services in the region. The problem arise from having various information systems is the possibility of data redundancy, ineffective, and duplicated data during the interdivisional data input process. Dependency of interdivisional data in immigration service demand the immigration office to create the data integration system, integration data means data from each divisions will be integrated/collected in one integrated database based on one time entry data process. This research aims to develop an innovation of interdivisional data integration design at 1st Class Cirebon Immigration Office. Data integration aims to increase the service effectiveness by reduce the data entry volume in the service process and increase data validity. The data is taken by descriptive qualitative method, and integration system designed using Software Development Life Cycle (SDLC) method. In this project “Inter- Division Data Integration Apps in the 1st Class Cirebon Immigration Office” the web-based application has been successfully created. The one time entry data-concept connected each divisions menu on the application and integrated one another by the real-time, this application will surely simplify and accelerate the inter-division data recapitulation process especially for the monthly- report making process. This web-based application can make the working flow more efficient, effective, can reduce the data redundance, and increase the validity of data.
Automatic High Voltage Data Analysis Tools Using Mathematical Techniques and AI

This paper investigates the methods used in analysing performance of high voltage insulators in HV laboratory tests. The performance of high voltage insulators requires analysis for the purposes of design improvement and comparison. The analysis can be supported using visual and infra-red cameras to record the insulator under stress in addition to the electrical parameters such as leakage current and voltage signals. A new procedure based on mathematical and AI techniques was developed to create a new engineering tool as an alternative to the current ones in use. Visual and infra-red data from high voltage insulator tests done at HV laboratory at Cardiff University were obtained and the developed MATLAB code was tested on these data. The identification of an insulator within an image were investigated and a new method based on normalised 2-dimensional cross-correlation was developed. The developed visual analysis methods investigate the colours present in the video along with artificial long exposure technique. The infrared investigation led to an alternative method of calculating the temperature profile of an insulator and investigates the use of deep learning in dry band detection. The developed methods have been successfully applied on previously recorded data and they offer useful tools to investigate the performance of insulators. The discussion of deep learning opens further opportunities for the use of deep learning in dry band detection and classification.
SurfaceCast: Ubiquitous, Cross-Device Surface Sharing

Real-time online interaction is the norm today. Tabletops and other dedicated interactive surface devices with direct input and tangible interaction can enhance remote collaboration, and open up new interaction scenarios based on mixed physical/virtual components. However, they are only available to a small subset of users, as they usually require identical bespoke hardware for every participant, are complex to setup, and need custom scenario-specific applications. We present SurfaceCast, a software toolkit designed to merge multiple distributed, heterogeneous end-user devices into a single, shared mixed-reality surface. Supported devices include regular desktop and laptop computers, tablets, and mixed-reality headsets, as well as projector-camera setups and dedicated interactive tabletop systems. This device-agnostic approach provides a fundamental building block for exploration of a far wider range of usage scenarios than previously feasible, including future clients using our provided API. In this paper, we discuss the software architecture of SurfaceCast, present a formative user study and a quantitative performance analysis of our framework, and introduce five example application scenarios which we enhance through the multi-user and multi-device features of the framework. Our results show that the hardware- and content-agnostic architecture of SurfaceCast can run on a wide variety of devices with sufficient performance and fidelity for real-time interaction.
An In-Depth Analysis of Saudi EFL Students’ Written Paragraphs at Al-Baha University

This study aimed to give an in-depth analysis of students’ written paragraphs. Therefore, the study primarily described the nature of the grammatical and mechanical problems that the undergraduate students committed at the paragraph level. Paragraphs written by EFL undergraduate students were analyzed comprehensively. The study adopted a qualitative method approach in which 80 students were asked to write a paragraph. The study found that undergraduate students had many grammatical problems as well as mechanical ones in a paragraph. The major grammatical problems included the use of tenses, pronouns, conjunctions, the use of prepositions, and the use of verbs, whereas the mechanical ones included the use of capitalization, the use of punctuation marks, cursive writing, spelling mistakes, and initiating a paragraph. These problems affected the paragraph’s readability as well as its comprehension. Therefore, it is suggested to give ample time for the students to practice writing prior to university entry. Also, literature should be included in secondary school to provide learners with the necessary words and improve their expressive skills.
Phishing Classification Based on Text Content of an Email Body Using Transformers

Phishing attacks steal sensitive credentials using different techniques, tools, and some sophisticated methods. The techniques include content injection, information re-routing, social engineering, server hacking, social networking, SMS and WhatsApp mobile applications. To overcome such attacks and minimize risks of such attacks, many phishing detection and avoidance techniques were introduced. Among various techniques, deep learning algorithms achieved the efficient results. In the proposed work, a transformers-based technique is used to classify phishing emails. The proposed method outperformed the other similar mechanisms for the classification of phishing emails. The phishing classification accuracy achieved by the proposed work is 99.51% using open-source datasets. The proposed model is also used to learn and validate the correctness of the in-house created datasets. The obtained results with in-house datasets are equally competitive.