Reviewerly/exHarmony huggingface dataset:
Analyzing the Performance of M/G/1 and M/Er/1 Queuing Models on Data Centers

Cloud computing is the process of allocating the network access admission to a group of selected users having advanced and smart pattern of computing facilities on the plan of usefulness of the network permission for accessing the network resources whenever there's a demand for the facility to be provided from the cloud.It may be a customary term and thus the regular service that was delivering the required services to the hosts among net.Here, the cloud computing mechanism is employed for describing each the list of platforms that were out there to the users for operating and additionally the many styles of applications which will be processed.The current technique was being thought about by most of the analyzers because of the most potential and therefore the most helpful space for the analysis and also for analysis in academe like universities and major research laboratories.Solely few notable works are revealed with regards to performance analysis in cloud computing.Generally the analytical models were geared toward coming up with the models that use the cloud and its services through that the performance of the model was analyzed and evaluated below numerous configurations and assumptions.These assumptions were based on the queuing theory and its accuracy is verified with numerical calculations and simulations.Present paper deals with the performance evaluation in-terms of steady-state parameters of a small cloud server farm using single and multi-server queuing models.Single server model includes M/G/1 and M/Er/1.
Improved Parsimonious Topic Modeling Based on the Bayesian Information Criterion

In a previous work, a parsimonious topic model (PTM) was proposed for text corpora. In that work, unlike LDA, the modeling determined a subset of salient words for each topic, with topic-specific probabilities, with the rest of the words in the dictionary explained by a universal shared model. Further, in LDA all topics are in principle present in every document. In contrast, PTM gives sparse topic representation, determining the (small) subset of relevant topics for each document. A customized Bayesian information criterion (BIC) was derived, balancing model complexity and goodness of fit, with the BIC minimized to jointly determine the entire model—the topic-specific words, document-specific topics, all model parameter values, and the total number of topics—in a wholly unsupervised fashion. In the present work, several important modeling and algorithm (parameter learning) extensions of PTM are proposed. First, we modify the BIC objective function using a lossless coding scheme with low modeling cost for describing words that are non-salient for all topics—such words are essentially identified as wholly noisy/uninformative. This approach increases the PTM’s model sparsity, which also allows model selection of more topics and with lower BIC cost than the original PTM. Second, in the original PTM model learning strategy, word switches were updated sequentially, which is myopic and susceptible to finding poor locally optimal solutions. Here, instead, we jointly optimize all the switches that correspond to the same word (across topics). This approach jointly optimizes many more parameters at each step than the original PTM, which in principle should be less susceptible to finding poor local minima. Results on several document data sets show that our proposed method outperformed the original PTM model with respect to multiple performance measures, and gave a sparser topic model representation than the original PTM.
The Improvement in Design and Control of a Massage Robot on Human Back

A back massage robot is designed, which has the characteristics of small size and diversified massage techniques compared with other massage instruments. To design the massage robot, the motor position, spring and connecting parts were analyzed to achieve appropriate massage head structure. The robot collects data via a variety of miniature sensors to improve the stability of the massage. Based on the characteristics of back massage, an improved round-trip path planning algorithm model was established to improve the massage coverage of the robot. The physical model and experimental platform of the robot were built, and the influence of signal duty cycle on the massaging effect of the massage head was discussed by testing the values of acceleration. Meanwhile, the influence of steering and speed on the massage manipulation of the massage wheel was analyzed to obtain six best massage techniques.
The method of grid map construction of visual characteristics on rocket tank surface and robot automatic cleaning path planning

Abstract According to the actual engineering needs, this paper proposed a method of grid map construction of visual characteristics on rocket tank surface and robot automatic cleaning path planning. Through the image processing algorithm, the flange obstacle features and smudge features of the rocket tank surface are extracted, and the cleaning grid map of the rocket tank surface is constructed with this features. Aiming at the circumferential cleaning requirements of rocket tanks, a global path planning method based on artificial potential field loop traversal is proposed to achieve traversal coverage cleaning of stain points. It is verified by simulation experiments that the path planning method proposed in this paper meets the actual needs and is of great significance for realizing the cleaning automation of rocket storage tanks.
Dynamic Hand Gesture Authentication using Electromyography (EMG)

Biometrics has recently been the go-to authentication method in most electronic devices due to its convenience. There are two types of biometrics - static biometrics and dynamic biometrics. Hand gesture can both static and dynamic biometrics. Static hand gesture can be in the form of static hand sign; whereas dynamic hand gesture can be in the form of moving finger, hand, or arm. And due to its continuity, dynamic biometrics is usually correlated with behavioral. Hand gesture can also be a combination of both static and dynamic biometrics, for example continuous hand signs, where the hand sign is the static and the changes from one sign to another is the dynamic. In our research, we will be using the combination of both static and dynamic hand gesture. In order to simulate the worst case scenario, all the participants were asked to perform the same static hand gesture. From the result, it has been shown that the system can discern individuals through their gesture behavior. The accuracy rate from the confusion matrix and equal error rate from receiver operating characteristic (ROC) are above 0.84 and below 0.0701 respectively.
Counting Boolean functions with faster points

Abstract Duan and Lai introduced the notion of “fast point” for a Boolean function f as being a direction a so that the algebraic degree of the derivative of f in direction a is strictly lower than the expected $$\deg (f)-1$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mo>deg</mml:mo> <mml:mo>(</mml:mo> <mml:mi>f</mml:mi> <mml:mo>)</mml:mo> <mml:mo>-</mml:mo> <mml:mn>1</mml:mn> </mml:mrow> </mml:math> . Their study was motivated by the fact that the existence of fast points makes many cryptographic differential attacks (such as the cube and AIDA attack) more efficient. The number of functions with fast points was determined by Duan et al. in some special cases and by Sălăgean and Mandache-Sălăgean in the general case. We generalise the notion of fast point, defining a fast point of order $$\ell $$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mi>ℓ</mml:mi> </mml:math> as being a fast point a so that the degree of the derivative of f in direction a is lower by at least $$\ell $$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mi>ℓ</mml:mi> </mml:math> than the expected degree. We determine an explicit formula for the number of functions of degree d in n variables which have fast points of order $$\ell $$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mi>ℓ</mml:mi> </mml:math> . Furthermore, we determine the number of functions of degree d in n variables which have a given number of fast points of order $$\ell $$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mi>ℓ</mml:mi> </mml:math> , and also the number of functions which have a given profile in terms of the number of fast points of each order. We apply our results to compute the probability of a function to have fast points of order $$\ell $$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mi>ℓ</mml:mi> </mml:math> . We also compute the number of functions which admit linear structures (i.e. their derivative in a certain direction is constant); such functions have a long history of being used in the analysis of symmetric ciphers.
Project Activities in Technical Institutes as a Mean of Preparing Students for Life and Professional Self-determination

Modern pedagogical science considers project-based learning as an interactive learning technology that allows for the implementation of a person-centered approach to learning at a practical level. Mastering the techniques and methods of projection, mastering the ways of project thinking will allow students to develop their own vision of the future, can provide an individual with the possibility of a sustainable movement along their own personal development trajectory. Identifying professional opportunities (including in project activities) of future specialists and adjusting the educational trajectories of the best of them in the early stages, for example, in a university, are the subject of real interest of employers today. The article presents and comprehends Peter the Great St. Petersburg Polytechnic University (SPbPU’s) own approaches to project activities, identifies and describes the roles and competencies of participants in project activities, describes the invariant functions of project activities, presents the results of a massive educational course on students’ project activities based on the university, identifies the importance of collective forms of association and inclusion of students in project activities, as well as the importance of co-operation with employers interested in the formation and management of human and social the capital.
Computational Intelligence Approaches for Software Quality Improvement

Obtaining reliable, secure and efficient software under optimal resource allocation is an important objective of software engineering science. This work investigates the usage of classical and recent development paradigms of computational intelligence (CI) to fulfill this objective. The main software engineering steps asking for CI tools are: product requirements analysis and precise software specification development, short time development by evolving automatic programming and pattern test generation, increasing dependability by specific design, minimizing software cost by predictive techniques, and optimal maintenance plans. The tasks solved by CI are related to classification, searching, optimization, and prediction. The following CI paradigms were found useful to help software engineers: fuzzy and intuitionistic fuzzy thinking over sets and numbers, nature inspired techniques for searching and optimization, bio inspired strategies for generating scenarios according to genetic algorithms, genetic programming, and immune algorithms. Neutrosophic computational models can help software management when working with imprecise data.
THE DEVELOPMENT OF THE THEORY AND PRACTICE OF PROJECT MANAGEMENT: THE ROLE OF THE SCIENTIFIC SCHOOL OF THE STATE UNIVERSITY OF MANAGEMENT (PART 2)

This article is a continuation of the publication of the results of the study of the evolution of project management as a special type of management activity. The main events from the history of formation and development of the theory and practice of project management as a result of scientific research of scientists of the State University of Management have been highlighed. The history of development and the current state of the theory of project management in the State University of Management are associated with the actual needs of management practice both during the twentieth century and now, because the improvement of the mechanism of project management is one of the strategies for the development of the country’s economy.
Classical analog of the quantum marginal problem

We construct a classical cryptographic analog of multipartite entanglement which can be verified solely from separable marginals. That is a set of marginal classical probability distributions carrying no secret correlations, which are compatible only with a joint distribution containing secret correlations. This demonstrates that the emergent correlation properties do not exist only in the quantum world. Viewed from a different perspective, our result reveals another possible application of the quantum marginal problems in that they can help us to design and solve interesting classical marginal problems.
Emergency Response Ontology Informatics: Using Ontologies to Improve Emergency and Hazard Management

The Large-scale natural and man-made hazards and disasters sometimes triggered and/or encouraged by regional conflicts, climate change, or migration are growing in intensity and frequency.These disasters, affecting thousands of homes and lives, have consequences for national security and defense.Adequate preparation, response and recovery are required to manage the effects of such large-scale disasters.With many organisations involved in their handling, of-ten times crossing regional and national borders, information exchange is crucial in order to help save lives and properties.Very often, this information exchange is cumbersome and difficult due to differing vocabularies, semantics and representations at the human language, systems and data levels.This paper describes HERO, the Hazard and Emergency Response Ontology, a vocabulary used to describe hazards, either emerging, existing or ones that might have happened.Having a common vocabulary to describe hazards will give emergency management officials a common language (or a common set of terms) to describe an event, a disaster, or a hazard, making the information exchange between differing political and social boundaries easier, more efficient and more effective.We describe how we have made use of HERO to help us to model migration hazard data.We end with lessons learnt and conclusions.
Image Classification Schemes Based on Sliced Radial Energy Distribution of DFT and the Statistical Moments of Haar Wavelet

Texture recognition is used in various pattern recognition applications and texture classification that possess a characteristic appearance. This research paper aims to provide an improved scheme to provide enhanced classification decisions and to decrease processing time significantly. This research studied the discriminating characteristics of textures by extracting them from various texture images using discrete Haar transform (DHT) and discrete Fourier transform DFT. Two sets of features are proposed; the first set was extracted using the traditional DFT, while the second used DHT. The features from the Fourier domain are calculated using the radial distribution of spectra, while for those extracted from Haar Wavelet the statistical distribution of various relative moments was adopted. Four types of Euclidean distance metrics were used for classification decisionpurposes. The considered method was applied on 475 classes of textures belonged to 32 sets from Salzburg Texture Image Database, each set holding 16 images per class, so the a total of 7600 images were tested. Each image was separated into seven bands of color component (i.e., red, green, blue, and grayâ€¦.). Concepts of average and standard deviation were calculated to determine the inter/intra scatter analysis for each feature to find out the best discriminating features that can be used.The final result of DHT was 99.98 for the testing sets and 99.71 for the training sets, while the final result of DFT was 98.63 for the testing sets and 93.74 for the training sets.
EFL Learners' Views about Project Work Implementation

This study was carried out to get an in-depth understanding of EFL learners’ perceptions towards project work in their language studies. The participants were 30 volunteer EFL students in the English Preparatory Program of a state university. To collect the data, a 5 Point Likert type questionnaire involving 31 questions and an interview form were used. The data, gathered through Likert scale type questionnaire, was analyzed using SPSS and the frequencies and the mean scores for each item were calculated. The data gathered by interview forms was analyzed through qualitative research method. The results indicated that students mostly experienced pleasure and excitement while conducting projects as a group and believed that they became more productive, independent, and motivated. However, it was seen that they still found it time-consuming and stressful as well as a demanding work. It was concluded that the students liked and approved of learning English through project based learning but had differing opinions about its benefits. Some recommendations were yielded based on the analysis and students’ responses.
Information Extraction Model to Improve Learning Game Metadata Indexing

The use of Learning Games (LGs) in schools is a success factor for students.The benefits they bring to the learning process should be widely disseminated at all levels of education.Currently, there are thousands of LGs that cover a large variety of educations fields.Despite this large choice of LGs, very few are used by teachers, due to the difficulty of finding and selecting suitable LGs.The aim of this paper is to propose an extraction model that will automatically collect the information about LGs directly from their web pages, in order to index them in a catalogue.The proposed ADEM (Automatic Description Extraction Model), browses the web pages describing LGs and does a first cleaning to remove any unnecessary information.Then a detection of description blocks, based on a certain number of criteria, identifies the regions containing the LG description text.Finally, an indexing on specific fields is performed.ADEM made it possible to automatically process 785 web pages to extract LG metadata indexing information.The results of this extraction process were validated by 20 teachers.This model therefore offers a promising starting point for better LG indexing and the creation of a complete catalogue.
The Use of Moodle-based Learning Management System (LMS) on MATE (Media Ajar Teori Evolusi)

Abstract The goal of this research is to identify students’ responses and see the feasibility of MATE ( Media Ajar Teori Evolusi ). This research is Research and Development. The subjects of the research were students of the sixth semester of Biology Education Department in the academic year of 2019. The ADDIE model (analysis, design, development, implements, and evaluation) was used as the design of the research. The developed product is declared as feasible because of its efficiency, light-weight, and compatibility. The students can construct their ideas. The developed product facilitates knowledge construction through the interactive online instrument. This is the first developed Moodle-based learning management system (LMS) on MATE ( Media Ajar Teori Evolusi ). It can help the lecturers to be more structured in teaching to achieve the goals of learning. Based on the validation conduction by experts, the overall result is 85,5% and students response in the trial to get an 88% percent-rate average. Judging from the overall result, the learning media is declared as feasible and appropriate to be used.
Social and educational technologies in professional education

The transformation of educational space has led to the renewal of requirements for students training. The modern goal of professional education is the formation of students ' competence. In this regard, there is a need to find the most effective ways to develop students’ competence. The purpose of the article is to analyze the experience of implementing social and educational technologies as an important component of the process of professional competence development. The article is devoted to the role of social and educational technologies employed to train students of higher professional educational institutions. The authors reveal the essence of educational technologies, their capabilities and significance for potential of future graduates. Social and educational technologies in the process of professional training of students perform the following functions: corrective, diagnostic and organizational. Against the background of professional competence development, these technologies perform such tasks as the development of moral qualities, orientation to universal values, the formation of humanistic views, skills of working with a team, leadership qualities, the formation of ideas about the importance of future professional activities, planning skills, management of a group of people.Focusing on the fact that highly qualified specialists’ training, according to the requirements of the state and society, should be versatile and include not only formation of professional skills, but also high moral and personal qualities that help in effective interaction provision, the authors of the article cite a study that allows to highlight the importance of social and educational technologies. The authors reveal process of social project implementation by students which is carried out in the framework of social project technologies. The possibilities of the social project allow introducing it into the activities of students of all courses of study to develop professional competence.
Geostatistical Modelling of Groundwater Quality at Rumuola Community, Port Harcourt, Nigeria

The groundwater quality of Rumuola community of Rivers State, Nigeria was investigated. This study was done to determine the pollution potential of a solid waste open dump in a borrow pit in the community. The leachate pollution index was calculated for the borrow pit at the centre of the community using weighted additive leachate pollution index. The result showed that the LPI value was 5.31 and has low pollution potential. It was discovered that the groundwater in the entire community was acidic with pH levels ranging from 3.6 to 4.2, which is below NSDWQ’s permissible range of 6.5-8.5. Nickel and arsenic also showed concentrations that were above permissible limits with nickel values averaging 0.033 mg/l which is slightly above the limit of 0.02 mg/l. Arsenic had concentrations that ranged from 0.16 to 1.57 mg/l which is above permissible limits of 0.01 mg/l. WQI was determined using weighted arithmetic water quality index analysis. As a result of the high concentrations of arsenic, the WQI values were very high with values ranging from 144 to 1367 and this shows that the water in the study area is unsuitable for drinking. In modelling the water quality index of Rumuola community, geostatistical methods were applied. Ordinary kriging, Empirical Bayesian kriging (EBK), inverse distance weighting (IDW) and cokriging interpolations methods were used to produce surface maps showing the distribution of variables using ARCGIS software. The best interpolators were: EBK for pH, TDS, Sulphate and nitrate; Ordinary kriging for Nickel and Hardness; IDW for Iron and arsenic; Cokriging for WQI.