Reviewerly/exHarmony huggingface dataset:
Adaptive Continuous Multi-objective Optimization Using Cooperative Agents

Real-world optimization of complex products (e.g., planes, jet engines) is a hard problem because of huge multi-objective and multi-constrained search-spaces, in which many variables are to be adjusted while each adjustment essentially impacts the whole system. Since the components of such systems are manufactured and output values are obtained with sensors, these systems are subject to imperfections and noise. Perfect digital twins are therefore impossible. Furthermore simulating with sufficient details is costly in resources, and the relevance of Population-based optimization approaches, where each individual is a whole solution to be evaluated, is severely put in question. We propose to tackle the problem with a Multi-Agent System (MAS) modeling and optimization approach that has two major strengths: 1) a natural representation where each agent is a variable of the problem and is perceiving and interacting through the real-world topology of the problem, 2) a cooperative solving process where the agents continuously adapt to feedback, that can be interacted with, can be observed, where the problem can be modified on-the-fly, that is able to directly control these variables on a real-world product while taking into account the specifics of the components. We illustrate and validate this approach in the Photonics domain, where a light beam has to follow a path through several optical components so as to be transformed, modulated, amplified, etc., at the end of which sensors give feedback on several metrics that are to be optimized. Robotic arms have to adjust the 6-axis positioning of the components and are controlled by the Adaptive MAS we developed.
Editorial of ARIS2 - Advanced Research on Information Systems Security, an International Journal

Securing information, actors, and their systems have become a paramount challenge in recent years.&#x0D; In the first regular issue of 2021 of the ARIS2 - Advanced Research on Information Systems Security, an International Journal, in four of the five articles, problems of information security are addressed with a practical and theoretical view, with origin in academic centers and research from masters and doctoral students.
Hash Encoding to Safely Transmit Personal Identifiable Information on Unsecured Methods

In this paper, we propose a novel hash function to be used on payloads outside the rails of a usual transaction — that is, through an unsafe communication method—to transfer Personal Identifiable Information in an anonymized yet still useful way to help indicate if the author of the purchase is indeed who they indicate they […]
Review on Cybersecurity Threats Related to Cyber Ranges

Cyber ranges are often used to enhance the cybersecurity posture of a company by training relevant skills. These environments are traditionally used to host exercises that simulate cybersecurity scenarios, improve the cybersecurity skills of employees and enhance the security of networks and processes. By using digital twins, it is possible to organise cyber range trainings […]
The opportunities of scientific-critical text

In this article the author analyzing the scientific-critical edition of classical and historical works came to conclusion that any such studies will base on fundamental and academic research. Manuscripts which include the lives of our ancestors in detail are the bridge between the past and the present. The importance of ancient manuscripts in the history of human civilization is so important that in order to truly inherit this priceless spiritual heritage, it is necessary to study them in depth, to popularize the knowledge formed when studying them. The acquisition of spiritual property inherited from ancestors begins with the same process - the popularization of knowledge.
The Effect of Audit Experience and Audit Risk on Audit Judgment with Auditor’s Perceptions of the Code of Ethics of Public Accountants as Moderating Variables

This research purposes to empirically analyze the effect of audit experience on audit judgment, to determine auditor’s perception of the code of ethics of public accountants as moderating variable that affect audit experience on audit judgment, to assess the effect of audit risk on audit judgment, to determine auditor’s perception of code of ethics of public accountants as moderating variable that effect of audit risk on audit judgment. This research used a sample of 140 external auditors who work in the KAP at DKI Jakarta period 2016-2020. Based on method convenience sampling. Data were obtained through a mail survey and personal survey. The analytical method used in this study is Moderated Regression Analysis (MRA). The result of this research indicates that; audit experience not effect significantly on the audit judgment, auditor’s perception of the code of ethics for public accountants is not moderating variables that affect of audit experience on audit judgment, audit risk not affect significantly on the audit judgment, auditor’s perception of code of ethics for public accountants is moderating variable that effect of audit risk on audit judgment.
Multi-Agents’ Temporal Logic using Operations of Static Agents’ Knowledge

We study an agents’ temporal logic with non-standard none-transitive temporal accessibility relations and operations of static agents’ knowledge. The main mathematical problem we work with is existence of algorithms for solving satisfiability problem. The problem is resolved and the algorithm is found. Some open problems are suggested in the concluding part
A Novel Approach to Strengthen Additional Layer of Security to Caesar Cipher

We are living in the world of technology where we share our messages to the sender via several messaging applications. While we share the information, we are not aware about how secure our messages are and whether any person can hack the private messages or not. It is obvious when the messaging applications with no security pose great risk to our private information. Cryptography is a technique which is used to hide the information in the form of encryption. This preserves confidentiality, integrity and availability and also provides security and privacy of data to the users. In this study, wehave developed a simple approach with an additional layer of security to be added over the Caesar Cipher to enhance the security that can be incorporated with messaging applications.
WHAT IS EMPIRICALIZATION IN THE RECENT ARGUMENTATION STUDIES?

The following work will attempt to present to the reader the topic of Empiricalization in the recent treatment of Argumentation. An interesting trend that has emerged in the last decade or so concerns empirical turn in the study of argumentation. Empiricalization is the term that describes the attempts to underline the relationship between argumentation theory and argumentative reality by using different qualitative, quantitative, and mixed empirical methods. Currently, there are various empirical approaches in the field of argumentation. The author considers two of them, namely the historical-textual, and the meta-argumentation approaches. In addition to organizing what is already known about empiricalization, this paper also serves the function of suggesting what empirical research is needed to fill in theoretical gaps in the recent treatment of argumentation. In this regard, the purpose of this paper is to provide up-to-date, relevant, and informative discussion about an empirical component in argumentation research. Besides, in the paper, the author through the concept of Empiricalization approach to problems in Philosophy such as how to analyze and evaluate argumentation in philosophical texts.
External factors and economic growth in Tunisia: ARDL approach with structural change analysis

This paper examined the effect of external factors on economic growth in Tunisia.The economic analysis was carried out using recent quantitative technique of annual time series data from 1976 to 2017.Based on co-integration test with unknown structural breaks and ARDL bound testing we investigated importance of each factor in stimulating economic growth.Our results show that in the long run FDI does not affect economic growth.Remittances and imports negatively affect economic growth.Exports promote economic growth such that a 1% increase stimulates economic activity by 0.702%.In the short term, our estimates emphasize a structural break in 1988 linked to the structural adjustment program.Likewise, FDI does not have a significant effect on economic growth while remittances and imports slow economic growth significantly at the conventional level.On the other hand, exports form a relevant engine of economic growth.So, our conclusions imply that political decision-makers in Tunisia must guarantee certain level of training and infrastructure to ensure the gain of transfers of new technologies and experiences related to the FDI.Thus, Tunisia must encourage peoples living aboard to create new investment opportunities instead of just supporting their families for consumption.In addition, the state must develop financial system capable of transferring funds for investment in order to better benefit from remittances.Finally, the government must restrict import of consumer goods and allow import of equipment and machinery goods that promote production and economic growth.
EXPLAINABLE AI AND RESPONSIBLE AI

Chapter 29 relating to Explainable AI and Responsible AI 'sets out' the 'black box' problem. This is so often discussed in the mainstream media now that it has become a cliché. The book, and this chapter in particular, unpicks the cliché. Part of this involves education on how AI systems operate, how XAI works, how rules and standards operate in the context of AI, and how to apply ethical considerations to AI. The chapter includes explanations of explainability (!) and points the way towards toolkits to be used in practice.
The Qualitative Study of Factors Affecting Relapse to Drug Abuse and Addiction with a Grounded Theory Approach

The Qualitative Study of Factors Affecting Relapse to Drug Abuse and Addiction with a Grounded Theory Approach
Forecasting Model for State-Owned Bank Stock Prices During Pandemic: GARCH Model Application

Since Covid-19 was announced as pandemic by Indonesian authorities, it had many negative effects, more particularly on banking sector.The aim of this study is to measure the impacts of Covid-19 on Bank Negara Indonesia stock prices and to find the best-fit model to forecast its daily stock prices for the next 30 days.The application of Generalized Autoregressive Conditional Heteroscedasticity (GARCH) model was applied to measure the residual of mean and variance.The finding is to apply AR(1)-GARCH(1,1) model to forecast the future stock prices as the R-square of the model is more than 98%, indicating more accuracy.The forecast shows gradual increase of stock prices indicating that economic growth tends to come out from recession gradually.
A hybrid approach for aspect-based sentiment analysis using a double rotatory attention model

Nowadays, the web is an essential hub for gathering comments on entities and their associated aspects. In this paper, we propose a model which is capable of extracting these opinions and predicting the sentiment scores in aspect-level sentiment mining. In our two-step approach, a lexicalised domain ontology is firstly applied for sentiment classification. If the result is inconclusive from the first step, the backup model double rotatory attention mechanism is applied, which utilises deep contextual word embeddings to better capture the (multi-)word semantics in the given text. This study contributes to the current research by introducing novel repetition and rotatory structures to refine the attention mechanism. It is shown that our model outperforms state-of-the-art methods on the datasets of SemEval 2015 and SemEval 2016.
The Philosophy of a Working Person as the Basis of Contemporary Labour Pedagogy

Work is an ethical force – it is an important paradigm of labour pedagogy. System analysis of a person’s work should include an axiological, aretological and deontological interpretation. The issue of the employee’s responsibility is not without significance. Such a multidimensional analysis allows to show the creative power of work aimed at changing the person and at changing the quality of life and the quality of the world. The consequence is the reinterpretation of the paradigms of labour pedagogy.
The introduction of a national digital currency: Practical and methodological experience of China

Subject. This article examines the key characteristics of the digital currency of the People's Bank of China. Objectives. The article aims to analyze the advantages of using the digital national currency in China, taking into account the practical experience of other countries, as well as assess the prospects for the internationalization of the yuan and changes in the scheme of international settlements in terms of a possible weakening of the US dollar. Methods. For the study, I used the systems and comparative analyses. Results. The article describes the key advantages of the cyber yuan and substantiates the possibility of applying the successful methodological and practical developments of China by other countries, including Russia, when implementing their own digital currency projects. Conclusions. The article recognizes the prospect of universal internationalization of the yuan and the destruction of the monopoly of the US currency with the help of the digital yuan conditionally possible and very distant.
Navigating a cloud services agreement

Cloud Sweden is a story about how a group of experienced IT-people from different sectors of the industry came together and discussed a relatively new phenomenon called the Cloud; or what is today labelled as Cloud computing. And they realised there was a tremendous momentum and potential prosperity connected to it. They also concluded that in order to support potential users and to promote Sweden as an IT-oriented country in the forefront of the development there was a need for information – organisations considering migrating their IT functions to the Cloud should at least be able to make an informed decision. There are significant advantages with this new technology, but also a number of pitfalls that any user should be aware of. There were for example critical security issues at hand before when the servers were placed within the four walls of the office and there still are critical security issues relating to the Cloud. However, the issues to solve are different. Cloud Sweden was founded and the different branches of the group have produced a number of documents published on its website. Cloud Sweden has apart from a number of members working actively in the steering and competence groups several thousand members from the industry in a Linkedin network. In this article you will find a sample of what the legal group of Cloud Sweden has produced – a primer of legal issues that a migrant shall pay attention to before the leap into the Cloud.
Belief-Driven Pathfinding through Personalized Map Abstraction

We investigate the case of belief-driven pathfinding (BDP) according to which characters hold a personalized account of a dynamic changing game-world. BDP is concerned with maintaining and revising a set of beliefs that persists over time as a character navigates to subsequent target destinations. This allows for a differentiation among characters with different observations in the game and can provide better believability. We present BGCA*, a practical BDP approach that is based on (i) decomposing the map into regions, (ii) using personalized beliefs per character about the connectivity of regions, and (iii) employing a regular pathfinding component as a service. We evaluate BGCA* in terms of computational effort and precision wrt a regular solver over several benchmark maps. Our results motivate a simple belief revision strategy that induces small overhead and amortizes effort spent toward precision.
An Efficient Indexing and Searching Technique for Information Retrieval for Urdu Language

Indexing techniques are used to improve retrieval of data in response to certain search condition. Inverted files are mostly used for creating indexes. This paper proposes indexing technique for Urdu language. Language processing step in Index creation is different for a particular language. We discuss index creation steps specifically for Urdu language. We explore morphological rules for Urdu language and implement these rules to create Urdu stemmer. We implement our proposed technique with different implementations and compare results. We suggest that indexes should be created without stop words and also index file should be an order index file.
A Design Seminar Course on Developing Technologies for Rural Nicaraguans

A collaboration between the Universidad Nacional de Ingieneria (UNI) in Managua, Nicaragua and Villanova University was established three years ago.The initial collaborative efforts were focused on a telehealth humanitarian development project.More recently, faculty members at UNI and Villanova have obtained funding to develop joint courses to teach both sets of engineering students the design of technologies to benefit and improve the lives of rural Nicaraguans.Prof.
Learning Human Motion Models

My research is focused on using human navigation data ingames and simulation to learn motion models from trajectorydata. These motion models can be used to: 1) track the opponent’smovement during periods of network occlusion; 2)learn combat tactics by demonstration; 3) guide the planningprocess when the goal is to intercept the opponent. A trainingset of example motion trajectories is used to learn twotypes of parameterized models: 1) a second order dynamicalsteering model or 2) the reward vector for a Markov DecisionProcess. Candidate paths from the model serve as themotion model in a set of particle filters for predicting the opponent’slocation at different time horizons. Incorporating theproposed motion models into game bots allows them to customizestheir tactics for specific human players and functionas more capable teammates and adversaries.
How Do Users Interact with an Error-Prone In-Air Gesture Recognizer?

We present results of two pilot studies that investigated human error behaviours with an error prone in-air gesture recognizer. During the studies, users performed a small set of simple in-air gestures. In the first study, these gestures were abstract. The second study associated concrete tasks with each gesture. Interestingly, the error patterns observed in the two studies were substantially different.
Scythe AI: A Tool for Modular Reuse of Game AI

Scythe AI is a tool designed for game AI developers to enable modular reuse of NPC AI. In this demonstration, we show how Scythe AI can be used to compose and manage statechart-based AI-Modules to produce new AIs for a target game. The tool includes a streamlined importing process to introduce new modules, library management of modules, an error and warning system to assist in new AI construction, and can export directly to a defined target game.
Improving Convergence of CMA-ES Through Structure-Driven Discrete Recombination

Evolutionary Strategies (ES) are a class of continuous optimization algorithms that have proven to perform very well on hard optimization problems. Whereas in earlier literature, both intermediate and discrete recombination operators were used, we now see that most ES, e.g. CMA-ES, use only intermediate recombination. While CMA-ES is considered state-of-the-art in continuous optimization, we believe that reintroducing discrete recombination can improve the algorithms' ability to escape local optima. Specifically, we look at using information on the problem's structure to create building blocks for recombination.
A Three Year Longitudinal Study of Mobile Technology and Analysis of the Impact on STEM-Based Courses

Texas at El Paso with a special focus on data communications
Social Media and Library Services: Points of Convergence

The Internet has brought in its wake unlimited opportunities for information sourcing, retrieval and dissemination, as well as plethora of platforms for exchange of information. Among such platforms are web 2.0 technologies like Twitter, Blog, Facebook, My space, Linkedin, Wiki, Flicker and a host of others known and referred to as the social media. The social media is home to millions of subscribers who make use of these sites daily for one information need or the other, to socialize or to interact. One of the core mandates of libraries is to provide needed information for their diverse users. Because of the popularity enjoyed by these social media outfits as a result of ability to disseminate information, it has been latched on by many professions, including libraries whose duty is to provide needed information. This paper discusses the major social media technologies and benefits to libraries. It also explained the need for these social media technologies in the libraries, as well as how libraries can integrate them. The paper concluded by stating that there is need for management of libraries to ensure internet connectivity in their libraries, which is a prerequisite for the use of these applications.
A Computer Vision Framework for Automated Shape Retrieval

With the increasing number of images generated every day, textual annotation of images for image mining becomes impractical and inefficient. Thus, computer vision based image retrieval has received considerable interest in recent years. One of the fundamental characteristics of any image representation of an object is its shape which plays a vital role to recognize the object at primitive level. Keeping thisview as the primary motivational focus, we propose a shape descriptive frameworkusing a multi-level tree structured representation called Hierarchical Convex Polygonal Decomposition (HCPD). Such a frameworkexplores different degrees of convexity of an object’s contour-segments in the course of its construction.The convex and non-convex segments of an object’s contour are discovered at every level of the HCPD-tree generation by repetitive convex-polygonal approximation of contour segments. We have also presented a novel shape-string-encoding schemefor representing the HCPD-tree which allows us touse the popular concept ofstring-edit distance to compute shape similarity score between two objects. The proposed framework when deployed for similar shape retrieval taskdemonstrates reasonably good performance in comparison withother popularshape-retrieval algorithms. Index Terms—Convex Polygon; Content BasedShape Retrieval; Shape Representation