Reviewerly/exHarmony huggingface dataset:
A Strategic Decision-Making Framework in Cyberspace

Cyberspace possesses unique characteristics, which should be taken into consideration in order to ensure the success of cyber operations or joint operations. How can the unique characteristics be addressed in strategic decision making? How can relatively more effective and efficient courses of action be selected or generated in cyberspace within a short period of time? These questions need to be addressed. This chapter briefly discusses the key requirements for strategic decision making. After a discussion about the key unique characteristics of cyberspace, it reveals the challenges that traditional strategic decision-making models are facing. Based on this analysis, this chapter proposes a new strategic decision-making framework in cyberspace, which helps to select or generate relatively more effective and efficient courses of action for a specific environment within a short period of time, thus guaranteeing the success in missions.
Motion Planning for the $$\text {S}_\text {n}$$ S n -2UPS Robot

As explained in Chap. 6, any system with two inputs and up to four generalized coordinates can always be transformed into chained form. Then, since the $$\text {S}_\text {n}$$ -2UPS non-holonomic robot has two inputs (its leg lengths) and three generalized coordinates (its orientation parameters), its kinematics can be formulated in chained form. Given a system in chain form, its motion planning problem can be solved using well-established procedures (see [7] and the references therein) which means the motion planning problem for the analyzed spherical robot can be solved using one of these procedures, as Jakubiak did in [6] for a particular configuration of the system. In this case, Jakubiak used control functions given by truncated trigonometric series, as we already did in Chap. 5 for the 3 $$\text {S}_\text {n}$$ PU robot. Nevertheless, the use of these procedures requires a good understanding of sophisticated methods in non-linear control whose technicalities have proven a challenge to many practitioners who are not familiar with them. As an alternative, geometric motion planners have been proposed, for example, in [1]. The main advantage of this kind of motion planners is that they are based on elementary kinematics arguments. However, they generate stepped maneuvers, that is, maneuvers with intermediate instants with zero velocity that guide the moving platform to the desired orientation. This chapter presents a geometric motion planner able to steer the robot to the desired orientation through a differentiable path in the space of actuation variables. Part of the work presented in this chapter appeared in [5].
Blockchains and Institutional Layering as a New Approach to Economic Development

Since the mid-twentieth century, development economists have identified barriers to economic growth including financing a savings-investment gap, planning investments, and institutional change. Efforts to overcome these development barriers range from centralised planned intervention to decentralised entrepreneurial search. In this paper we use comparative institutional economics to analyse the expected impact of adoption of blockchain technologies on economic development. We propose that blockchains facilitate a more decentralised entrepreneurial process of economic development through institutional layering. This dynamic leads to a more market-based, polycentric and institutionally experimental economic development process. In this way blockchains shift the entrepreneurial process by which development problems are defined and ameliorated through time.
Smart Accident Detection and Prevention System (SADPS)

The two objectives of the smart accident detection and prevention system (SADPS) are 1) accident prevention and 2) accident detection. Based on the survey, 1.3 million people die every year due to roadway accidents. The main reason for this type of accident is speeding. So, the proposed SADPS focused on finding the speed parameters of each vehicle and giving notification to speeding vehicles through SMS that can be used to prevent accidents. The second objective is accident detection. For this task, each vehicle accelerometer values will be taken by the SADPS system. When an accident occurs, the location as well as the related details are sent to the SADPS system. This proposed system takes the immediate remedy by alerting the nearby police station and hospitals. Proposed SADPS also acts as a video surveillance and monitoring system. Automatic background subtraction and object tracking is done with the help of novel approaches.
School - university - production: a chain of effective communications

The article describes various methods of increasing the effectiveness of communications in the chain "school - university - production" both at the tactical and at the strategic level. The main methods of solving the problem of shortage of production personnel in the sector of skilled labor are identified: participation of large enterprises in effective vocational guidance for adolescents, creation of the Center for Youth Innovative Technologies (TSMIT), implementation of a modular principle of training in cooperation with leading professional and higher education institutions, social networking resources, encouragement of employees for participation in career counseling communications.
A Smart Cache Strategy for Tag-Based Browsing of Digital Collections

Tag-based browsing is a common interaction technique in business, the culture industry and many other domains. According to this technique, digital resources have a set of descriptive tags associated, which can be used to perform an exploratory search, letting users focus on interesting resources. For this purpose, a set of tags is collected sequentially, and, at each stage, the set of resources described by all the selected tags is filtered. This browsing style can be implemented using inverted indexes. However, this implementation requires a considerable amount of set operations during navigation, which can have a negative impact on user experience. In this paper we propose addressing this shortcoming by using a cache that makes it possible to identify equivalent browsing states (i.e., states yielding the same set of filtered resources), which in turn will avoid redundant computations. The technique proposed will be compared with more basic implementations using a real-world web-based collection in the field of digital humanities.
Adaptive Estimation of a Moving Object Trajectory Using Sequential Hypothesis Testing

The present paper addresses the problem of adaptive estimation of a moving object trajectory and detection of changes in the motion mode.It is supposed that an object moves along a complex trajectory and at known discrete-time instants it may change its motion to one of three possible modes: a uniform straight line motion or a uniform anticlockwise/clockwise circular motion.We propose a new algorithm for adaptive trajectory estimation that combines a hybrid linear stochastic model of an object trajectory with a bank of competitive Kalman filters and a decision rule based on a sequential hypothesis testing.A detailed description of the decision rule and pseudocode of the proposed algorithm are given.The software implementation of the algorithm is made in Matlab.A numerical example of adaptive estimation of the motion of an object along a complex trajectory consisting of nine different pieces is considered.We have conducted computational experiments with different levels of noise in the measurements.The results confirm the effectiveness of the proposed algorithm.
The Machine As Author

The use of Artificial Intelligence (AI) machines using deep learning neural networks to create material that facially looks like it should be protected by copyright is growing exponentially. From articles in national news media to music, film, poetry and painting, AI machines create material that has economic value and that competes with productions of human authors. The Article reviews both normative and doctrinal arguments for and against the protection by copyright of literary and artistic productions made by AI machines. The Article finds that the arguments in favor of protection are flawed and unconvincing and that a proper analysis of the history, purpose, and major doctrines of copyright law all lead to the conclusion that productions that do not result from human creative choices belong to the public domain. The Article proposes a test to determine which productions should be protected, including in case of collaboration between human and machine. Finally, the Article applies the proposed test to three specific fact patterns to illustrate its application.
Reliability Analysis of Clock Source of Railway Time Synchronization Network Based on SPN

Railway time synchronization network is an important part of railway communication network. It provides unified and standard time information for railway system. As the timing reference signal source of railway time synchronization network, the reliability of clock source is the basis to ensure the accuracy and precision of the time information of railway time synchronization network. So it is of great significance to do the study about the reliability of clock source to the realization of railway time synchronization. In accordance with failover principle, in this thesis, three levels master clock failover models were established by using Stochastic Petri Nets (SPN) first, and then the TimeNET software was used to check structure and analyze steady state of models. The analysis results showed that master clocks of all levels with high reliability can meet the requirements of clock source of railway time synchronization network.
Representing Heritage on the Web. A Survey of Online Platforms to Communicate Tangible Assets

The main goal of this research is to identify the various forms of communication and representation of projects for the enhancement and protection of the artistic, architectural and cultural heritage present today on the net in order to create a classification and taxonomy that illustrates the state of the art from the point of view of the communicative, aesthetic and technological modalities. The paper also wants to focus on the specific case of heritage in Abruzzo highlighting, through the analysis of case studies, the strengths and weaknesses of the surveyed platforms.
Architecture of a quantum computing platform

We present an architecture of a cloud-based quantum computing platform. It is based on the original model of a nanophotonic quantum processor with integrated quantum memory and a quantum transistor. At the moment the platform works with an integrated quantum simulator that implements the behavior of the underlying model.
Research on Intelligent Tutoring System Based on Data-Mining Algorithms

This paper takes the composition of the intelligent teaching system and the realization process of the system as study core, to introduce the process of the design and realization of each component of the intelligent tutoring system. It adopts data mining association rules and decision tree mining algorithm to enhance the intelligence and personalization of the intelligent tutoring system. In the course of the design, the thought of evaluating the students' learning effect by changing the traditional expert model is used, according to the constructivist teaching theory, and the expert model is adjusted based on the students' learning effect. The experimental results show that the application of data mining technology to the decision-making of teaching management in colleges enable the decision-makers to be more pertinent in decision making, and it has certain practical guiding significance.
Design and Simulation Optimization of Obstacle Avoidance System for Planetary Exploration Mobile Robots

This paper proposes a new type of planetary detection multi-modal motion robot based on pure mechanical structure. The detection robot does not contain traditional sensors, computers and power supply systems, and uses pure mechanical components such as gears, friction wheels, rack and pinion mechanisms, and cam mechanisms to perform functions such as energy generation, transmission, and obstacle avoidance. In this paper, the obstacle avoidance system of the mobile robot is designed and optimized for the core components.
Calculating Cryptoasset Market Shares

As cryptoassets expand into mainstream economy, they invite heightened regulatory and investor scrutiny. A number of laws and regulations, such as antitrust (competition) laws and financial regulations, as well as investor decisions are informed by the relative economic size of cryptoassets, meaning that cryptoassets with larger market shares may become more attractive for regulation or investing. Properly measuring the economic footprint of cryptoassets, therefore, becomes imperative. However, the exercise has proven challenging for multiple reasons including unfamiliarity with the underlying technology and the role of involved actors, lack of understanding of the applicable metrics’ economic significance, and the unreliability of self-reported statistics, partly enabled by lack of regulation. Acknowledging the centrality of cryptoasset measurements in a number of regulatory and policy-making areas, and the fact that previous attempts have been incomplete, simplistic, or even plainly wrong, this paper presents the first systematic examination of the economic footprint of cryptoassets and their constituent actors. We aim to achieve a number of objectives: to introduce, identify and organize all relevant and meaningful metrics of cryptoasset market share calculation; to develop associations between metrics, and to explain their meaning, application, and limitations so that it becomes obvious in which context metrics can be useful or not, and what the potential caveats are; and to present rich, curated, and vetted data to illustrate metrics and their use in measuring cryptoasset shares in their respective markets. The result is comprehensive guidance into the size of the crypto-economy and blockchain networks.
A Practice of Physics Education Using Electronic Books for Differential and Integral Calculus, Mechanics and an LMS

We have developed tools to enhance the practice of physics education in differential and integral calculus and mechanics, using interactive electronic books to support graphical understanding and an LMS, for third year students in national colleges of maritime technology. Using the gallery function of electronic books, we teach a graphical understanding of the mechanics of a particle. For example, in graphical terms, the slope of a tangent line at any point on a distance-time graph gives the speed at that point in time. As a class exercise, the students took an online examination in the LMS, and could efficiently check their degree of understanding of general concepts of physics and fundamental calculations of physics quantities. From the results of a student questionnaire given after the exercise, about 58-59% of the students found the gallery function for graphical understanding of the electronic books to be helpful and about 65-69% of them found the online examinations in the LMS to be useful.
Development of automated accuracy control tools for robotic equipment

This paper proposes a new method of visual automated control based on optical measurements. In this article, we investigate a number of questions concerning the organization of measurements, calibration of the data obtained, and interpretation of results. An experimental scheme is given, the coordinates of the gripper of a robotic manipulator are obtained by different methods, the accuracy is estimated. It is concluded that the use of the proposed method based on visual markers for obtaining coordinates based on visual markers has high accuracy, good repeatability of results and can be used to control the positioning of new robotic mechanisms at the testing and commissioning stage.
The Role of the Regional Support of Technical University in the Training of Professional Personnel for Enterprises of Volgograd region

The article is devoted to assessing the role of the basic technical university in the training of professional production personnel for enterprises of the Volgograd region. The university acts as a communication platform for the implementation of constructive interaction with representatives of business, government, science, education, the public, being the initiator of holding negotiations, meetings, conferences, congresses, symposia at its base.
Linear Covariance-Based Optimal Sensor Selection for GN&amp;C System Using Second-Order Cone Programming

A novel optimal sensor selection approach is developed in this paper. The key innovation of this work is in formulating the stochastic optimal sensor selection problem as a second-order convex program. The approach quickly determines the required optimal sensor specifications that meet mission navigation and trajectory dispersion requirements with the lowest sensor cost. The proposed approach combines linear covariance analysis with convex optimization to describe and solve the optimal sensor selection problem. First, the trajectory dispersion of the closed-loop guidance, navigation, and control (GN&C) system based on sensor specifications is modeled using linear covariance analysis theory. Then, the linear covariance propagation and update equations are used to formulate an optimal sensor selection problem using the Kronecker product. Second-order cone programming with successive approximation techniques are used to solve the established problem. Finally, a simple nonlinear closed-loop GN&C system is investigated, and the capabilities of the proposed approach are demonstrated. The simulations show that the optimal sensor selection problem can be described and solved efficiently using the proposed approach.
Ordered Tree Decomposition for HRG Rule Extraction

We present algorithms for extracting Hyperedge Replacement Grammar (HRG) rules from a graph along with a vertex order. Our algorithms are based on finding a tree decomposition of smallest width, relative to the vertex order, and then extracting one rule for each node in this structure. The assumption of a fixed order for the vertices of the input graph makes it possible to solve the problem in polynomial time, in contrast to the fact that the problem of finding optimal tree decompositions for a graph is NP-hard. We also present polynomial-time algorithms for parsing based on our HRGs, where the input is a vertex sequence and the output is a graph structure. The intended application of our algorithms is grammar extraction and parsing for semantic representation of natural language. We apply our algorithms to data annotated with Abstract Meaning Representations and report on the characteristics of the resulting grammars.
Enumerating words with forbidden factors

This presentation is an exposition of an application of the theory of recurrence relations to enumerating strings over an alphabet with a forbidden factor (consecutive substring). As an illustration we examine the case of binary strings with a forbidden factor of k consecutive symbols 1 for given k, using generating function techniques that deserve to be better known. This allows us to derive a known upper bound for the number of prefix normal binary words: words with the property that no factor has more occurrences of the symbol 1 than the prefix of the same length. Such words arise in the context of indexed binary jumbled pattern matching.
Evaluation of the Rietveld method for the mineralogical characterization of airborne dust in a mining area

In this article, we present the results of the mineralogical quantification of airborne dust from an urban area located in the Brazilian state of Minas Gerais in the vicinity of a gold mine.Three samples were collected at different points to assess spatial consistency.Results showed that the mineralogy, in relation to both major minerals and accessory minerals, is very similar for all samples, being predominantly composed of muscovite and quartz, which together account for around 60% to 75% by weight.The accessory minerals are clinochlore, albite, dolomite, calcite and kaolinite and the averages for each range from 4% to 13%.The only trace mineral with concentration below 1% was pyrite which has a concentration below 1%.The results provide an indication that the mining area is not the sole source of local dust, although the mine's contribution is significant.
The assessment of efficiency of the automatic speaker recognition system for voices registered using a throat microphone

The paper presents the results of experiments that allow to determine the validity of use of the Automatic Speaker Recognition (ASR) in devices that register voice signal via throat microphones. Throat microphones are used in extremely difficult registration conditions, e.g. in tank headsets, therefore high efficiency of identification of speakers obtained for such a device allows to significantly extend the range of applications of ASR. The presented research results are complemented with results of speakers identification tests carried out using a traditional electret microphone on the same population of voices, which allows for unequivocal comparison of the impact of an acoustic channel on operation of ASR. The paper also includes a brief description of operation of the automatic speaker recognition system based on a cepstral analysis of a voice signal and Gaussian Mixture Models (GMM).
Secure Data Deduplication of Encrypted Data in Cloud

In the present digital scenario, data is of prime significance for individuals and moreover for organizations. With the passage of time, data content being produced increases exponentially, which poses a serious concern as the huge amount of redundant data contents stored on the cloud employs a severe load on the cloud storage systems itself which cannot be accepted. Therefore, a storage optimization strategy is a fundamental prerequisite to cloud storage systems. Data deduplication is a storage optimization strategy that is used for deleting identical copies of redundant data, optimizing bandwidth, improves utilization of storage space, and hence, minimizes storage cost. To guarantee the security parameter, the data which is stored on the cloud must be in an encrypted form to ensure the security of the stored data. Consequently, executing deduplication safely over the encrypted information in the cloud seems to be a challenging job. This chapter discusses various existing data deduplication techniques with a notion of securing the data on the cloud that addresses this challenge.