Reviewerly/exHarmony huggingface dataset:
Distributed Swarm Trajectory Planning for Autonomous Surface Vehicles in Complex Sea Environments

In this paper, a swarm trajectory planning method is proposed for multiple autonomous surface vehicles (ASVs) in an unknown and obstacle-rich environment. Specifically, based on the point cloud information of the surrounding environment obtained from local sensors, a kinodynamic path searching method is used to generate a series of waypoints in the discretized control space at first. Next, after fitting B-spline curves to the obtained waypoints, a nonlinear optimization problem is formulated to optimize the B-spline curves based on gradient-based local planning. Finally, a numerical optimization method is used to solve the optimization problems in real-time to obtain collision-free, smooth and dynamically feasible trajectories relying on a shared network. Simulation results demonstrate the effectiveness and efficiency of the proposed swarm trajectory planning method for a network of ASVs.
A Neural Network-Based Weighted Voting Algorithm for Multi-Target Classification in WSN

One of the most important applications in the wireless sensor networks (WSN) is to classify mobile targets in the monitoring area. In this paper, a neural network(NN)-based weighted voting classification algorithm is proposed on the basis of the NN-based classifier and combined with the idea of voting strategy, which is implemented on the nodes of the WSN monitoring system by means of the “upper training, lower transplantation” approach. The performance of the algorithm is verified by using real-world experimental data, and the results show that the proposed method has a higher accuracy in classifying the target signal features, achieving an average classification accuracy of about 85% when utilizing a deep neural network (DNN) and deep belief network (DBN) as the base classifier. The experiment reveals that the NN-based weighted voting algorithm enhances the target classification accuracy by approximately 5% in comparison to the single NN-based classifier, but the memory and computation time required for the algorithm to run are also increased at the same time. Compared to the FFNN classifier, which exhibited the highest classification accuracy among the four selected methods, the algorithm achieves an improvement of approximately 8.8% in classification accuracy. However, it incurs greater overhead time to run.
Language Learning Strategies: A Case of Indonesian Students Studying in the United Kingdom

This study aimed to find out the language learning strategies used by Indonesian students during their studies at the University of Leeds in the United Kingdom, the obstacles faced in implementing the learning strategy, and how to overcome the obstacles in implementing the learning strategy. Data obtained by providing a questionnaire and interview. The questionnaire was adopted from the Oxford theory, which consists of 50 statements with five answer choices in the form of Google form to 30 Indonesian students who studied at the University of Leeds. Then, the writer conducted the interview via zoom meeting that focused on the participants’ reasons and experiences with the language learning strategies they used. The result showed that: (1) the Indonesian students studying at the University of Leeds dominantly used cognitive, metacognitive, and social strategies. (2) The Indonesian students faced some obstacles in implementing the learning strategy, and they came from two factors: internal (study habits and study concentration) and external (teacher teaching style and the social environment). (3) The Indonesian students overcome those obstacles by applying different kinds of learning strategies. These findings relate to the importance and the use of language learning strategies for students who want to continue their studies overseas.&#x0D; Keywords: Language Learning Strategies; Indonesian Student; United Kingdom.
Dynamic Population on Bio-Inspired Algorithms Using Machine Learning for Global Optimization

In the optimization field, the ability to efficiently tackle complex and high-dimensional problems remains a persistent challenge. Metaheuristic algorithms, with a particular emphasis on their autonomous variants, are emerging as promising tools to overcome this challenge. The term “autonomous” refers to these variants’ ability to dynamically adjust certain parameters based on their own outcomes, without external intervention. The objective is to leverage the advantages and characteristics of an unsupervised machine learning clustering technique to configure the population parameter with autonomous behavior, and emphasize how we incorporate the characteristics of search space clustering to enhance the intensification and diversification of the metaheuristic. This allows dynamic adjustments based on its own outcomes, whether by increasing or decreasing the population in response to the need for diversification or intensification of solutions. In this manner, it aims to imbue the metaheuristic with features for a broader search of solutions that can yield superior results. This study provides an in-depth examination of autonomous metaheuristic algorithms, including Autonomous Particle Swarm Optimization, Autonomous Cuckoo Search Algorithm, and Autonomous Bat Algorithm. We submit these algorithms to a thorough evaluation against their original counterparts using high-density functions from the well-known CEC LSGO benchmark suite. Quantitative results revealed performance enhancements in the autonomous versions, with Autonomous Particle Swarm Optimization consistently outperforming its peers in achieving optimal minimum values. Autonomous Cuckoo Search Algorithm and Autonomous Bat Algorithm also demonstrated noteworthy advancements over their traditional counterparts. A salient feature of these algorithms is the continuous nature of their population, which significantly bolsters their capability to navigate complex and high-dimensional search spaces. However, like all methodologies, there were challenges in ensuring consistent performance across all test scenarios. The intrinsic adaptability and autonomous decision making embedded within these algorithms herald a new era of optimization tools suited for complex real-world challenges. In sum, this research accentuates the potential of autonomous metaheuristics in the optimization arena, laying the groundwork for their expanded application across diverse challenges and domains. We recommend further explorations and adaptations of these autonomous algorithms to fully harness their potential.
Digital assets for digital natives: Exploring familiarity and preference for cryptocurrency among millennials and Gen Z

&lt;p&gt;Cryptocurrency has gained significant attention and popularity in recent years, leading to increased awareness and preference among individuals worldwide. This study explores the intertwined concepts of awareness and preference and reasons for buying cryptocurrencies among Chennai city’s Millennials and Gen Z. This study did two things: a comprehensive but detailed systematic literature review on cryptocurrency and then conducted a survey, the study got 252 valid responses. After analysis, it has been observed that majority of the respondents are aware of cryptocurrencies and only a less percentage respondents own cryptocurrency. As individuals learnt about cryptocurrencies, their preference for these digital assets begins to take shape. Decentralized &amp;amp; transparent transactional system and financial inclusion and security &amp;amp; privacy emerge as significant factors driving preference, as individuals seek to escape the constraints of traditional financial systems and exercise direct control over their assets. Additionally, the potential for high returns attracts investors, drawing attention to the volatile but potentially rewarding nature of the cryptocurrency market. Global accessibility &amp;amp; speed and media &amp;amp; publicity are vital in promoting a sustainable and well-informed approach to the adoption and affinity for cryptocurrencies. This study holds the promise of exerting a positive influence on society by enabling better-informed decision-making, fostering greater financial and technological literacy, mitigating risks, and actively contributing to the responsible development of the digital asset industry.&lt;strong&gt;&lt;/strong&gt;&lt;/p&gt;
Engaging Tertiary Students: A Comparative Study of Online Learning Tools with Arcs Motivation Model Integration

In recent times, the adoption of online teaching methods has become a noteworthy development. This trend gained momentum during the Covid-19 pandemic, as education transitioned entirely to online platforms. Even though our country has now entered an endemic phase, online learning remains pertinent. Many educational institutions continue to embrace online learning, but its success depends on collaboration with students. Several factors influence students' ability to adapt to this new teaching and learning approach. In this research, the aim is to investigate the motivational factors that affect the use of online learning tools. This study utilizes the ARCS Motivation model, which encompasses attention, relevance, confidence, and satisfaction, to explore the relationship between these factors with online learning tools. Data will be gathered from part five students enrolled in entrepreneurship and management courses at the UiTM Perak Branch. Questionnaires, divided into Parts A, B, and C, will be distributed and analyzed using the SPSS software. Consequently, this research has the potential to positively impact the education sector and government policies by promoting the integration of technology into the teaching and learning process. It also sheds light on the evolving landscape of education in the digital age and its implications for both students and educators.
Ontological foundations of technology in the concept of Friedrich Dessauer

Introduction. In connection with the growing development of technology in the XX–XXI centuries the role and significance of theoretical reflection on how human dependence on technology transforms our everyday life are increasing. At the same time, two main strategies can be distinguished in relation to the rising influence of technology: critical (pessimistic) and “progressive” (optimistic). If the critical approach is constantly in the field of view of the humanities (starting with Ernst Jünger, Oswald Spengler, Martin Heidegger), then the “progressive” one actually falls out of sight of modern researchers. The article is intended to appeal to the argument of one of the optimists, the concept of Friedrich Dessauer. Theoretical analysis. Friedrich Dessauer proceeds from an ontological model of understanding technology as the constant disclosure of the potential inherent in nature itself. Technology does not oppose nature, but continues and improves it in every possible way. Adhering to religious views, Dessauer says that technology continues the creation by God, and inventors and engineers act as co-creators of the divine plan. At the same time, the author sets out a rather abstract and mainly Kant-oriented idea of the structure of being and the place of a man in this being. Conclusion. Despite the fact that over the past 70 years, since the publication of Dessauer’s work, the face of the planet has changed significantly due to technical inventions, the argumentation of thinkers advocating both for and against the spread of technology has not actually changed: already in the 21st century we again and again encounter arguments proposed by Dessauer in 1958.
Retos a los que se enfrenta la Ingeniería del Software Cuántico

This analysis examines the field of quantum computing and the development of quantum software based on a selection of relevant articles. The research reveals that quantum computing has evolved from a theoretical concept to a practical reality, with quantum computers now accessible to everyone through cloud services or simulations. The articles discuss various aspects related to quantum computing, including technologies, methodologies, and practical guidance for developers venturing into quantum software projects. An emerging trend identified is the need for quantum software engineering, as the field lacks established models, standards, and methods for system creation and migration. A comparison and synthesis of the articles highlight the advancements and challenges in the field, as well as gaps and areas for future research. Overall, this analysis emphasizes the growing importance of quantum computing and provides critical insights into its development and potential impact on industry and society.
Will the zombie box eat your brains for breakfast?

Introduction. The review is devoted to the publication of the book “Cyberhumanism. How communication technologies transform our society” by Nizhny Novgorod researcher A. N. Fortunatov – the Doctor of Philosophy, specialist in the field of communication studies, media philosophy and the history of television. Theoretical analysis. In the book by A. N. Fortunatov, methodological principles of communicative theory, media philosophy and humanism as a philosophical trend were combined. The result was the emergence of the term "cyberhumanism", which serves as a characteristic of the aggressive nature of communication technologies aimed, according to the author, at subordinating a person to digital means of communication and media. The author claims that the digital transformation of society is a natural phenomenon that arose as a result of the development of scientific and technological progress, however, the “callousness” of the digital sphere negatively affects the personality, that becomes only a reflection of the media. A. N. Fortunatov shows how digital media reality is constructed, where the subject and the object change places. A person ceases to be a subject in interaction with the media, since it is not he who influences them, but, on the contrary, the means of communication subordinate him to their will and the logic of existence. Conclusion. Such an ambiguous approach to the consideration of the phenomenon of media constitutes the research value of the book, which may be of interest to a wide range of readers dealing with the problems of digital society.
Relation between Walash and Kolosh Formations and geology of their equivalent metamorphosed greywackes and arenites in Sulaimaniyah Governorate, Kurdistan Region, Northeast Iraq

The previous studies documented the tectonics setting, petrology, and geochemistry of the Penjween area (with Shalair Valley) before 70 years and considered it as an area of igneous rocks, and tectonically composed of three thrust sheets. According to these studies, the area includes two main igneous rock units: The Penjween Ophiolite Complex comprised of gabbro, peridotite, and granitoid intrusions at the south. The second unit is Kata Rash Volcanic rocks (Kata Rash conglomerate of the present study) which are located in the north and northeast and comprised of mafic, intermediate and felsic volcanic rocks. The present study disagrees with the previous documentation of these rocks and changed the claimed Kata Rash Volcanic Rocks and Penjween Ophiolite to metamorphosed conglomerates and coarse sandstones of the proximal facies that belong to metamorphosed sediments of Walash Formation (or Group) that was deposited in a large Paleocene Foreland Basin. The Walash Group and Kolosh Formation (as unmetamorphosed, coarse and fine sandstones or greywackes) were deposited as deep basin distal facies in the basin while Kata Rash Conglomerate belongs to coastal facies. All the above five units are deposited by turbidity currents during Paleocene-Eocene and they correlated, in the present study, stratigraphically along the basin paleodip from the present location of the Shalair valley to the south of Sulaymaniyah City. The Naopurdan Formation is recognized for the first time in the Penjween area and its facies and foraminifera are documented and correlated with Sinjar Formation. The above siliciclastic sediments were derived from volcanic source areas inside Iran and depending on the field, lab, and evaluations of the previous studies, the present study drew sedimentary stratigraphic columns and cross-sections for the Penjween and Sulaimanyiah areas and correlated their units along 100 km across the latter two areas. The correlation linked the Kolosh Formation with stratigraphic units of the Penjween area for the first-time supposing deposition during Paleocene-Eocene and sharing the same foreland basin which is aided by the first record of the occurrence of the Kolosh Formation in Chwarta by nannofossils and petrography.
Emerging Trends of Artificial Intelligence and Data Protection; An Upcoming Threat to Indian Society

The convergence of emerging trends in Artificial Intelligence (AI) and the increasing importance of data protection has ushered in a new era of technological advancements. However, as AI becomes more integrated into various aspects of society, concerns about data privacy and security have also escalated. The intricate interplay between AI and data protection poses challenges that need careful consideration. The study’s objectives are to discover the challenges related to data protection, privacy, and security in the age of AI and to investigate the adoption of AI is impacting various sectors in Indian society, including healthcare, education, finance, and governance. The research also evaluates current advancements in AI technology, such as robotics, machine learning, and natural language processing, as well as trends in privacy and security. In order to achieve the study's objectives, qualitative and quantitative research approaches are utilized. A questionnaire with predetermined answers was used to collect primary data for the study. In conclusion, the paper underscores the urgent need for India to navigate the evolving landscape of Artificial Intelligence with caution. As AI's transformative potential intersects with data protection concerns, proactive measures must be taken to safeguard individual rights, cultural integrity, and societal well-being, ensuring that the nation harnesses the benefits while mitigating the looming threats
EpiSearch. Identifying Ancient Inscriptions in Epigraphic Manuscripts

AbstractEpigraphic documents are an essential source of evidence for our knowledge of the ancient world. Nonetheless, a significant number of inscriptions have not been preserved in their material form. In fact, their texts can only be recovered thanks to handwritten materials and, in particular, the so-called epigraphic manuscripts. EpiSearch is a pilot project that explores the application of digital technologies deployed to retrieve the epigraphic evidence found in these sources. The application of Handwritten Text Recognition (HTR) to epigraphic manuscripts is a challenging task, given the nature and graphic layout of these documents. Yet, our research shows that, even with some limits, HTR technologies can be used successfully.
Designing New AES and Implementing it with LFSR Key to Improve Data Security

Data security is an essential aspect of data communication and data storage. The security and confidentiality of the information has become a significant factor in the communication field. To provide high-level security against all kinds of unauthorized accesses, cryptographic algorithms have been applied to various fields such as medical and military applications. Several techniques for encryption and decryption are proposed to promote the security of the communication systems. Most powerful and significant part of the encryption is a key generation. Presently, hackers are able to break the key with help of the modern high computing machines. Advanced Encryption Standard (AES), a symmetric cryptographic algorithm, is acknowledged as the most secure algorithm for the cryptographic process globally. In this work, Novel design and implementation of AES with LFSR (Linear Feedback Shift Register) key for improving data security is presented. The novelty of this work is using LFSR with AES. The Performance of presented approach is evaluated in terms of speed, area and security. The performance of presented technique will provide effective and efficient security to data.
Advancing Cyber Resilience: Bridging the Divide Between Cyber Security and Cyber Defense

The field of cyber security is characterized by its diverse range of techniques, tools, and concepts, and it is closely interconnected with the security of information and operational technology. The distinguishing characteristic of cyber security is in the adoption of offensive information technology strategies with the intention of achieving adversarial objectives. Nevertheless, the broad and unrestricted utilization of the word "cyber security," frequently used interchangeably with information security or IT security, has the potential to create misunderstandings among both consumers and professionals in the security field. The merging of these disciplines obscures important differences between them, notwithstanding their interconnectedness. This paper advocates for a significant suggestion aimed at security leaders: to limit the usage of the word "cyber security" to refer specifically to security practices that are closely intertwined with and dependent on information technology and operational technology environments and systems, solely for defensive objectives. In the context of computer network security, cyber defense plays a crucial role as a mechanism that addresses adversary acts, protects key infrastructure, and ensures information assurance for a wide range of enterprises, government agencies, and interconnected networks [3]. This study primarily examines the interplay between cyber security and cyber defense, emphasizing the development of the notion of cyber resilience. This paper presents a new conceptual framework for understanding cyber resilience, shedding light on the complex interplay between these several domains. Furthermore, in this model, the authors critically examine the tactics and measures necessary to enhance the resilience of cyber security and cyber defense in the face of escalating cyber threats. The article examines CRRT and MACS history, purpose, and future directions. At EU level, through the policy of innovation there is opportunity for more robust resilience and joint defense against ever-changing landscape of threat.
A Contrastive Study on the Declarative Ending of Mongolian and Korean Language

In the Korean language, the ending is divided into a “prefinal ending” and a “final ending” according to the location. The final ending can be divided into a termination ending and a non termination ending depending on whether the sentence ends or not. The non-terminating ending has a connection ending with a function of inclusion. On the other hand, Mongolian terminative endings include tense terminative endings and number of personal names declarative endings. In this paper, we were examined the characteristics of the declarative ending system of Korean and Mongolian. Declarative endings are one of the most frequently used endings to learn from the beginner level. Therefore, it is meaningful to contrast the composition of the declarative ending of Korean and Mongolian languages and review the detailed characteristics within them. As a result, the similarities between the two languages’ declarative endings, similarities in function, similarities in form and use, and similarities in literary style and colloquial style are examined, In addition, the differences between the declarative ending of the two languages, the differences in form, the differences in the use of rules and irregularities, and the differences in literary style and colloquial style were examined.