Reviewerly/exHarmony huggingface dataset:
Systems and Methods for Implementing Deterministic Finite Automata (DFA) via a Blockchain

We present a novel technology for the establishment and (discretionary) automatic execution of (financial) contracts based on the realisation of the commitments of the different parties, and other clauses and provisions, as a non-deterministic finite automaton (NFA) embodied in a computational and record-keeping structure on the (Bitcoin) blockchain. In particular, the process provides methods for constructing non-deterministic finite-state automata in Bitcoin script. The “best” method produces a one-to-one relation between the definition and the state table of the automaton.
Social Spider Algorithm for Training Artificial Neural Networks

Artificial neural networks (ANNs) are one of the most widely used techniques for generalization, classification, and optimization. ANNs are inspired from the human brain and perform some abilities automatically like learning new information and making new inferences. Back-propagation (BP) is the most common algorithm for training ANNs. But the processing of the BP algorithm is too slow, and it can be trapped into local optima. The meta-heuristic algorithms overcome these drawbacks and are frequently used in training ANNs. In this study, a new generation meta-heuristic, the Social Spider (SS) algorithm, is adapted for training ANNs. The performance of the algorithm is compared with conventional and meta-heuristic algorithms on classification benchmark problems in the literature. The algorithm is also applied to real-world data in order to predict the production of a factory in Kayseri and compared with some regression-based algorithms and ANNs models. The obtained results and comparisons on classification benchmark datasets have shown that the SS algorithm is a competitive algorithm for training ANNs. On the real-world production dataset, the SS algorithm has outperformed all compared algorithms. As a result of experimental studies, the SS algorithm is highly capable for training ANNs and can be used for both classification and regression.
Die Doppelte Dynamik: Das Herzstück von Adlers Theorie

No AccessDie Doppelte Dynamik: Das Herzstück von Adlers Theoriehttps://doi.org/10.13109/9783666406683.7SectionsPDF/EPUB ToolsAdd to favoritesDownload CitationsTrack Citations ShareShare onFacebookTwitterLinkedInRedditEmail About Previous chapter Next chapter FiguresReferencesRelatedDetails Download book coverVolume 1. AuflageeISBN: 978-3-666-40668-3HistoryPublished online:May 2019 PDF download
Privacy-Preserving Hybrid K-Means

This article describes how the most widely used clustering, k-means, is prone to fall into a local optimum. Notably, traditional clustering approaches are directly performed on private data and fail to cope with malicious attacks in massive data mining tasks against attackers' arbitrary background knowledge. It would result in violation of individuals' privacy, as well as leaks through system resources and clustering outputs. To address these issues, the authors propose an efficient privacy-preserving hybrid k-means under Spark. In the first stage, particle swarm optimization is executed in resilient distributed datasets to initiate the selection of clustering centroids in the k-means on Spark. In the second stage, k-means is executed on the condition that a privacy budget is set as ε/2t with Laplace noise added in each round of iterations. Extensive experimentation on public UCI data sets show that on the premise of guaranteeing utility of privacy data and scalability, their approach outperforms the state-of-the-art varieties of k-means by utilizing swarm intelligence and rigorous paradigms of differential privacy.
Overlapped Human Pose Estimation using Non-Maximum Suppression based on Shape Similarity

Deep Convolutional Neural Networks (DNNs) have made significant progress on human pose estimation task in recent years. However, the question of whether we are making the most use of the information we get from DNNs has not been well studied. Top-down approach which first detects person body box then utilizes single person pose estimation by heatmap is a widely used method in multi-person pose estimation. However, information that predicted by DNNs contains more information than we consider. In person box prediction process, when two persons are closed to each other, the Non-Maximum Suppression (NMS) we often use filters out the body boxes with smaller scores. For tackling this problem, we apply NMS based on Shape Similarity to person body boxes detection for tackling the problem that deleting the overlapped body boxes with smaller scores, and then extract keypoint coordinates and tag information for filter noise candidates from heatmap by Trasformer to improve the prediction accuracy. At last we develop an algorithm for refining keypoint coordinate by tag information. In experiment, we got mean Average Precision(mAP) of 76.0% in COCO2017 validation dataset, better than 75.6% with TransPose.
Research on Personalized Recommendation Algorithm Based on Dynamic Network

At present, personalized recommendation algorithms are primarily based on static networks, and therefore cannot accurately model or effectively provide recommendations in real dynamic networks. To extract the dynamic information of changes in dynamic networks with time and the characteristics of multi-layer networks, a personalized recommendation algorithm based on self-encoding, called “DAER,” is proposed in this work. DAER can dynamically update the input vector of nodes with the change of time, includes the addition of a time coefficient into the loss function, and uses different time dimensions to adjust the loss function for optimal training. Furthermore, the number of hidden layers is expanded according to the changes of nodes in a dynamic network. Finally, the node output vector is used for link prediction, and the recommendation process is realized by sorting the link scores of nodes in reverse order. The results of experiments demonstrate that the proposed DAER algorithm is more effective for recommendation, and has significant application value in the field of personalized recommendation in dynamic networks.
PECULIARITIES OF PROFESSIONAL ORIENTATION OF PEDAGOGUES IN THE CONDITIONS OF POSTGRADUATE EDUCATION

The article is devoted to the experimental verification of personal features of professional orientation of pedagogues in the conditions of postgraduate education. In the course of theoretical analysis of psychological and pedagogical literature it is established that the development of professional orientation of teachers in postgraduate education is closely related to the professional and personal development of the teacher. The objectives of the empirical study were: to select psychodiagnostic techniques and tests that will highlight the features of the professional orientation of teachers; to form a representative sample of teachers; to diagnose respondents, to carry out mathematical processing of the received data; describe the relationship of features that affect the professional orientation of teachers and interpret the results. Experimental work involved the using of exclusively adapted and standardized methods and tests, it contributed to obtaining reliable and valid results that characterize the features of the professional orientation of teachers. It is proved and experimentally confirmed that the main personal features of professional orientation of teachers in postgraduate education should include intrinsic motivation, level of empathy, level of self-esteem, level of social self-control. It was found that the motivational, empathic and evaluative components should be distinguished in the professional orientation of pedagogues. The obtained results of the empirical research testify to the expediency of organizing special psychological and pedagogical work with students of advanced training courses in the conditions of postgraduate pedagogical education, aimed at the development of professional orientation of pedagogues. In the future it is necessary to pay attention to the study of organizational-pedagogical and psychological-pedagogical conditions of interdependence of pedagogical orientation and professional development of a pedagogue.
Blockchain Technology in Student Physical Data Monitoring

Improving the physical condition of students has become an urgent problem to be solved by national higher education. This research mainly discusses the application of blockchain technology in the monitoring of student physical data. Through simple exercise tests, block chain technology is used to obtain objective data such as user's cardiorespiratory endurance and muscle strength. These parameters will serve as the basis for personalized exercise guidance programs. This step replaces the common exhaustive test in traditional systems, and reliable results can still be obtained while ensuring a certain test accuracy. The generated fitness guidance plan is automatically downloaded on the intelligent fitness equipment and guides users to execute it, ensuring that the exercise plan is executed on time and accurately, and the experiential fitness guidance is completed. In the management cycle, the exercise intervention plan is adjusted periodically, and the effect of the intervention is maximized by continuously optimizing individual parameters. Among the physical monitoring students, 41.3% of female college students and 23.7% of male college students participated in physical exercise occasionally. This research has positive significance for improving the physical fitness of students.
Fourth Workshop on Exploratory Search and Interactive Data Analytics (ESIDA)

This is the fourth edition of the Workshop on Exploratory Search and Interactive Data Analytics (ESIDA). This series of workshops emerged as a response to the growing interest in developing new methods and systems that allow users to interactively explore large volumes of data, such as documents, multimedia, or specialized collections, such as biomedical datasets. There are various approaches to supporting users in this interactive environment, ranging from developing new algorithms through visualization methods to analyzing users’ search patterns. The overarching goal of ESIDA is to bring together researchers working in areas that span across multiple facets of exploratory search and data analytics to discuss and outline research challenges for this novel area.
METHODICAL SUPPORT OF THE EDUCATIONAL PROCESS OF TRAINING SPECIALISTS OF THE LIBRARY AND INFORMATION SPHERE: MODERN STATE AND DEVELOPMENT PROSPECTS

The results of the analysis of educational- methodical materials contained in the electronic educational environment of Kemerovo State Institute of Culture in the training direction «Library and Information Activities» are given; their composition, peculiarities and structure are revealed. Particular attention is paid at the relationship between course elements and educational objectives.
Mobile Systems and Corresponding Intractable Security Issues

A mobile communication systems consists of two or more of the following devices, running specifically developed software to sustain, for a period of time, a wireless communication link between them: mobile telephone, broadly construed here to include devices based on Code Division Multiple Access (CDMA), Time Division Multiple Access (TDMA), Global System for Mobile Communications (GSM), and Wireless Personal Digital Assistants (WPDA) digital technologies and follow-ons, as well as satellite telephones and email appliances. Mobile communication systems are revolutionizing the world today, shrinking the world to between two or more small handheld mobile devices. The rapid changes in communication technologies, revolutionary changes in software and the growth of large powerful communication network technologies all have eased communication and brought it to large swaths of the globe. The high-end competition between the mobile telecommunication operators, resulting in plummeting device prices, the quickly developing smartphone technology, and the growing number of undersea cables and cheaper satellite technologies are bringing Internet access to almost every one of the global rural poor faster than many had anticipated. In this chapter, we put together all these communication devices and the protocols and associated technologies to create a vibrant new environment with a focus on security in this environment.
Scientific and pedagogical knowledge as an ontological phenomenon

The article observes the forms and the essence of scientific and pedagogical knowledge as a gnoseological category. The terms «scientific knowledge»,«scientific and pedagogical knowledge», «historical and pedagogical knowledge» are differentiated. The key factors which cause reinterpretation of the contemporary education phenomenon in respect of the fundamental aspects of human beingness are described. Specific features of the research on pedagogical reality have been compared by means of epistemological, logical-gnoseological, anthropological and ontological approaches. Scientific and pedagogical knowledge is considered as a component of more general scientific and humanitarian knowledge. The article also notes the role of pedagogical tradition which seals pedagogical knowledge into a hermeneutic circle. Moreover, a wide range of definitions of the concept «scientific and pedagogical knowledge» have been compared. Key problems affecting the process of scientific and pedagogical cognition in the context of postmodern have been highlighted. Namely, the question of the authenticity of scientific and pedagogical knowledge, its incompleteness, ambiguity, its dependence on the result of the modern reality transformation and also its close connection with the process of historical development of society. The text emphasizes the importance of individual's existential experience in the context of social cultivationof a person. The article states that pedagogical knowledge has been influenced by such processes as total informatization, digitalization and technologization of pedagogical process both negatively and positively. The acceleration is identified as a tendency in all spheres of life and it leads to the education refocus - a refusal from long-term forecasts in favor to implementation of short-term practice-oriented educational projects. The dichotomy between pedagogical theory and everyday pedagogical practice is considered as one of the main ontological problems of scientific and pedagogical knowledge. The most common properties of scientific and pedagogical knowledge are formed according to the standpoint of modern methodology of education. The article emphasizes the importance of scientific and pedagogical knowledge popularization as the way of implementation of educational function of pedagogics and promotion of pedagogical culture in society.
COMPARATIVE ANALYSIS OF PEDAGOGICAL TECHNOLOGIES OF PROFESSIONAL TRAINING OF GRAPHIC DESIGNERS IN UNIVERSITIES OF LEADING COUNTRIES OF THE WORLD

The worldwide trend in education is to train a professional who is able to respond quickly to the rapid development of information technologies that extend the graphic designer from the master of illustration, visual systems, advertising, and exhibition design to such areas of graphic design as moving graphics, interaction design, design animation, interactive design. The study found that the peculiarity of such training is the collaboration of educational institutions with enterprises, firms and institutions to make sure that the educational programs offered for students training meet the needs of production, and students really acquire the necessary knowledge, skills and competencies that are modern requirements for competitive graphic design specialist.
Extended Object Tracking with Spatial Model Adaptation Using Automotive Radar

This paper considers extended object tracking (EOT) using high-resolution automotive radar measurements with online spatial model adaptation. This is motivated by the fact that offline learned spatial models may be over-smoothed due to coarsely labeled training data and can be mismatched to onboard radar sensors due to different specifications. To refine the offline learned spatial representation in an online setting, we first apply the unscented Rauch-Tung-Striebel (RTS) smoother that explicitly accounts for the predicted and filtered states based on the offline learned model (i.e., the B-spline chained ellipses model). The smoothed state estimates are then used to create an online batch of state-decoupled training data that are subsequently utilized by an expectation-maximization algorithm to update the spatial model parameters. Numerical validation with synthetic automotive radar measurements is provided to verify the effectiveness of the proposed online model adaptation scheme.
Research on Multi-UAV Cooperative Defense Method with Support Mechanism

As an air carrier with strong mobility, an unmanned aerial vehicle (UAV) can carry various types of equipment and complete a variety of tasks. Aiming at the cooperative defense mission, this paper proposes a multi-UAV collaborative defense method with support mechanism for reasonable planning, and designs a simulation experiment for verification. The proposed method mainly uses hierarchical clustering for task assignment and a greedy algorithm for path planning to realize preliminary mission planning. Then, it sets up a one-to-one support mechanism to utilize the idle UAV resources to reduce the overall mission completion time, and realize the final mission planning.
Reparations: An Estimate of the Consequences of Denying Social Security to Agricultural and Domestic Workers

Initial provisions of the 1935 Social Security Act excluded disproportionately minority agricultural and domestic workers, occupational groups not enrolled in Social Security until the early 1950s. This article estimates the economic value of the exclusion of these workers, in addition to considering subsequent policy developments, especially welfare reform in 1996 and healthcare reform in 2010. The exclusion of unskilled workers in the South and Southwest from a public pension during the early years of Social Security not only reflects a pattern of denying benefits that continues, but also contributes to the call for reparations.
An Adapted Ant-Inspired Algorithm for Enhancing Web Service Composition

Web Service Composition (WSC) provides a flexible framework for integrating independent web services to satisfy complex user requirements. WSC aims to choose the best web service from a set of candidates. The candidates have the same functionality and different non-functional criteria such as Quality of Service (QoS). In this work, the authors propose an ant-inspired algorithm for such problem. They named it Flying Ant Colony Optimization (FACO). Flying ants inject pheromone not only on the nodes on their paths but also on neighboring nodes increasing their chances of being explored in future iterations. The amount of pheromone deposited on these neighboring nodes is inversely proportional to the distance between them and the nodes on the path. The authors believe that by depositing pheromone on neighboring nodes, FACO may consider a more diverse population of solutions, which may avoid stagnation. The empirical experiments show that FACO outperform Ant Colony Optimization (ACO) for the WSC problem, in terms of the quality of solutions but it requires slightly more execution time.
Evaluation of Cloud System Success Factors in Supply-Demand Chains

Cloud systems could help companies to optimize the structure and operation of supply chain and improve organizational performance into a higher level. In this chapter, the advantages and basic operation methods of cloud computing are analyzed, and the essential factors that contribute to the success of the cloud system are evaluated through some business examples. Supply chain firms rely on cloud system to share resources and to achieve integration through the Internet. Cloud systems could transform customer relationship and internal operation to achieve sustainable competitive advantages. Cloud services are providing the ability to share information to the supply chain at any time anywhere. This chapter explores the relationship between supply chain organization and cloud computing. This chapter also discusses the benefits and advantage to evaluate of cloud system in successful factors.
A Novel 6D Pose Estimation Method for Indoor Objects Based on Monocular Regression Depth

Estimating the 6D pose of known objects has attracted a lot of research attention since it is important for intelligent robot manipulation and virtual reality. In this paper, in order to improve the performance of 6D pose estimation using RGB image, we propose a novel 6D object pose estimation framework based on monocular regression depth. To get the depth map of the RGB image, we use a U-Net framework to regress the depth information effectively. For 6D pose estimation, our approach has two steps, which first uses the Convolutional Neural Network (CNN) to extract the feature of the RGB data and the regressed depth data, respectively. Then we adopt a pixel-wise dense fusion module to extract the dense feature to estimate the final 6D object pose. The experiments conducted on the YCB-Video dataset have demonstrated the effectiveness of our approach, and the experiment results show that the proposed method achieves an outstanding performance using only RGB images.
Use of Bitcoin for Internet Trade

Bitcoin is considered to be the world's first peer-to-peer and unregulated crypto-currency which has received widespread popularity in the last few years. It is issued and controlled by the members of the Bitcoin system. The success of Bitcoin has spurred the launch of many other crypto-currencies. Despite being widely adopted by various large-scale businesses, Bitcoin transactions are still exposed to many known as well as zero-day attacks due to various vulnerabilities being exploited by the malicious entities. In order to achieve reliable and secure transactions, extensive research needs to be carried out to critically examine Bitcoin architecture and its level of security. In this regard, this chapter presents a holistic analysis of Bitcoin architecture and a survey of the attacks prevalent to its transactions. As an evaluation of the Bitcoin system, a comparison of different crypto-currencies has been presented, based on their features, possible attacks, disadvantages, and the advantages which they possess over Bitcoin.
Kerahasiaan Teks Basis Data MySQL Menggunakan Algoritma Elgamal

The common method used to secure a MySQL database is in access control. The technique is the use of a password. To better secure the data sent cryptographic techniques need to be done. This study uses the Elgamal method in conducting cryptography. The results of this study generate MySQL databases in random form during safer delivery and can only be accessed by parties who have a password. So this research can further improve MySQL data security