Reviewerly/exHarmony huggingface dataset:
Enhancing Differential Evolution on Continuous Optimization Problems by Detecting Promising Leaders

Due to that the performance of differential evolution (DE) significantly depends on offspring generation strategies, various DE variants have been reported with the improved mutation operators. However, on the one hand, the mutation operators in most DE variants are guided by the elites in terms of the fitness value, without considering their distribution information in the fitness landscape. It may lead to the population be evolving towards the unpromising areas more frequently if these elites are clustered in a locally optimal region. On the other hand, in most DE variants, the evolutionary information of the potential trial vectors is not fully utilized to guide the search, which will hamper the local exploitation in the promising regions that they are located in. To overcome these weaknesses, this article proposes an enhanced DE framework (DELDG) with a leaders-detection-and-guidance mechanism that consists of an adaptive leaders detection (ALD) and a neighborhood-based tournament selection (NTS). With these two novel operators, DELDG can not only guide the mutation process of each individual with multiple promising leaders detected by ALD, but also accelerate the convergence speed with the competition among the potential trial vectors by NTS. Therefore, DELDG is characterized by the explicit detection of the promising leaders according to their fitness values and distribution information and the effective use of the potential trial vectors in the neighborhood of each leader. Compared with 36 excellent DE variants and evolutionary algorithms (EAs), the experimental results on 28 IEEE CEC2013 real-parameter functions and 17 IEEE CEC2011 real-world problems have demonstrated the competitive performance of DELDG.
Methodology of a Strategy Formation for Innovative Development of the Educational Complex in the Information Society

The article is devoted to the management of innovative development of complicated socio-economic systems. Such a system is the educational system and its institutional forms, united into the concept of “educational complex”. Models and tasks of implementing the innovative development of the non-state (commercial) and budget (state) sectors of educational complexes are shown in this work. The following principles are proposed as the basis of the concept of innovative development of education in the conditions of the information society: the maximum usage of opportunities, which are provided by the information society; assistance in the formation and development of a single information and communication space. As an example of analysis of the quality of innovative processes occurring in educational complexes, a mathematical model of a distance educational system, which is based on the methods and means of the theory of self-organization – synergetics, is proposed. It is concluded that the implementation of the methodology for managing the innovative development of the educational complex creates the prerequisites for building a quality management system for the educational process.
A Robust Approach to Plagiarism Detection in Handwritten Documents

Plagiarism detection is a widely used technique to uniquely identify quality of work. We address in this paper, the problem of predicting similarities amongst a collection of documents. This technique has widespread uses in academic institutions. In this paper, we propose a simple yet effective method for detection of plagiarism by using a robust word detection and segmentation procedure followed by a convolution neural network (CNN)—Bi-directional Long Short Term Memory (biLSTM) pipeline to extract the text. Our approach also extract and encodes common patterns like scratches in handwriting for improving accuracy on real-world use cases. The extracted information from multiple documents using comparison metrics are used to find the documents which have been plagiarized from a source. Extensive experiments in our research show that this approach may help simplify the examining process and can act as a cheap viable alternative to many modern approaches used to detect plagiarism from handwritten documents.
Testing the Applicability of IT Instrumentation to Projecting the Spread of Viral Epidemics

The paper presents some solutions to modeling the global spread of coronaviruses on the basis of some factors affecting such spread. The goal hereof was to select the best machine learning model to predict the COVID-19 pandemic. Statistical data was also processed by artificial neural networks, including population density and immunity, the number of infected people, and other parameters and their interdependencies. The paper investigates the dynamic processes of the stochastic spread of coronaviruses as affected by virologists' late or ineffective action. Viral spread was predicted by two methods: the first is based on describing the epidemiological states (health, infection, illness, recovery, death) with different probabilities of transitions between the states; the second is based on testing computer learning models. Pandemic spread modeling enabled the research to derive the numbers of susceptible, recovering, and infected patients as a function of time, and to find when the infected population numbers would peak. Analysis of the produced modeling solutions shows that viral spread may occur in a variety of manners, which is largely in line with the real-world observations.
Overhauling the Activities of Ghana Meteorological Agency through ICT

Faced with the growing risks of weather and climate disasters to economic and social development, the global community needs to act quickly to strengthen National Meteorological and Hydrological Services. This strengthening must be done in a way that transforms the agency, especially in developing Ghana into a robust professional agency capable of delivering the right information to the right people at the right time. Although the cost of modernizing and sustaining the Ghana Meteorological Agency will be huge, the rewards for Ghana and its citizens will be much significant. This analytical work assesses the Ghana Meteorological Agency (GMET) for Hydrometeorology based on the user community needs. The analysis identifies gaps and challenges such as a deterioration of hydro meteorological observation networks and outdated technologies, and a lack of modern equipment and forecasting methods in producing and delivering weather, climate and hydrological information and services, and it lays out a technical technological and strategic framework for policy and decision makers in the Ministry of communication and the government at large. The Road Map postulates three scenarios, which are institutional strengthening and capacity building; modernization of observation, ICT and forecasting infrastructure; and enhancement of service delivery system for modernizing the GMET based on the potential cost and benefits of each while aiming at a greater national, regional and public good. The proposed scenarios target the GMET capacity: (i) to produce, manage, translate and communicate hydro-meteorological information to the user community; (ii) to assist the community in accessing, interpreting and using the information; (iii) to better disseminate and respond to warnings for public safety and economic security; (iv) to inform planning and decision making for cost-effective investments in climate-resilient development; and empowering its human resource; (v) identify red zone regions with these muddles. Strengthening these five pillars can help solidify Ghana’s resilience to natural hazards and climate change and help enhance the economic performance of such weather dependent sectors as agriculture, energy, transport and water resources management. This study recommends that, low-cost, high-priority activities are provided to achieve critical minimal capabilities to provide weather, climate and hydrological services and monetary investments are also needed to facilitate full modernization and bring the Ghana Meteorological Agency to the level of advanced middle income countries’ capabilities for providing data, forecasts and warning services to meet user needs. Keywords: Hydro-meteorological, Overhauling, ICT, Modernization, Sustainability.
A strategy for developing a pair of diverse deep learning classifiers for use in a 2-classifier system

A multi-classifier system requires the individual classifiers to be both accurate and diverse. There is always a trade-off between accuracy and diversity. One of the suitable ways to enforce diversity between the classifiers is to use different neural network architectures, hyperparameters and training dataset. However, in general, these individual classifiers are trained by mapping the label into a binary vector such that all the incorrect classes are penalized equally. In this paper, we propose a methodology of generating the label vector into two different forms by exploiting the similarity between the classes. One of these forms of label vector encode values such that the misclassification into a class of lower similarity is penalized more than the misclassification into a class of higher similarity, whereas the second form of label vector encode values to do the opposite. These two forms of label vectors are then used for training two individual classifiers. The results show that the pair of classifiers developed with this proposed approach, when used in a 2-classifier system, yields better performance in terms of both diversity and accuracy as compared to the pair of classifiers trained with the standard approach of penalizing all the incorrect classes equally via binary label vector.
Analyzing Knowledge Representation of University Ontology Through Semantic Web

Nowadays, people are using lots of websites for searching and retrieving information. Most of the websites keep information in a simple format with all information simply linked with each other. Such type of information has less accuracy. So, there is utmost important to work on knowledge-based, information presentation. Hence, the advent of the semantic web called intelligent and meaningful web is a new trend in the area of web development. Ontology is a key term widely used in the development of the Semantic Web. It is an idea, which strongly focused on class, object, and relationship relatively than information. Protégé is a tool widely used for ontology development and customization. It has a user interface for ontology results visualization. It provides a view for a developer for a strong focus on creating knowledge rather than syntax. It provides the flexibility to add-on more additional features by the extendable plug-in. The purpose of this work is to develop a knowledge-based university system. Here, as an example of Indira Gandhi Delhi Technical University Delhi has been taken and created a university ontology using protégé tool. It also includes various aspects like classes, class hierarchy, superclass and subclass, and also created a subclass instance for designing class, class hierarchy, query searching, and retrieval process, and the result is demonstrated in graphical form.
A Temporal-Spatial-Domain Distribution Model and Alignment Method for Quality Attributes

Many software systems have been servitized into the form of service-based architecture, and their constituent service components are deployed in distributed ubiquitous environment. In terms of such type of systems, the quality perceived by massive users are diversified at different times, at different locations, or in different domains. This phenomenon is called Temporal- Spatial-Domain (TSD) distribution of quality attributes, and there is a TSD space Q for each quality attribute. When two service components offered by different providers collaborate with each other, there might be severe quality conflicts due to inconsistencies among quality standards adopted in different business domains and among subjective user perceptions at different locations or times. It is necessary to make alignment on values of quality attributes in terms of their TSD distributions. This paper presents a model to formally delineate the TSD distribution characteristics of quality attributes, and then uses Quality Contour Lines (QCLs) to represent equivalent user- perceived quality levels at different TSD points. A quality alignment method is proposed to eliminate quality inconsistencies based on pre-defined QCLs and Service Quality Levels (SQLs). This work extends traditional software/service quality models and could help facilitate more precise quality design and quality improvement for software/service developers.
On Welding Trajectory Centerline Extraction Based on Fuzzy Neural Network

Based on the advantages of visual sensing technology with abundant image information and high measurement accuracy, this paper studies the method of extracting the centerline of the welding trajectory. The image was preprocessed to obtain the grayscale image of the weld, the edge of the weld was detected by fuzzy neural network, the contour image of the weld was obtained iteratively by morphological image processing, and the center line of the weld trajectory was extracted by Hessian matrix. It is verified by experiments that the centerline extraction method of weld trajectory studied in this paper can accurately extract the centerlines of welding trajectories of different shapes.
Methods for Modeling the Processes of Combining Energy Resources for the High-Tech Power Industry Development

The article shows the possibilities of regulating the processes of combining conventional and renewable resources in a multi-purpose energy technology complex. To this end, we proposed a method for evaluating the regulation results taking into account their uncertainty in assessing the indicators of the process synergism entropy. We implemented the processes of a cyclical application of the methods for combining resources in the project for combining resources. Positive results of simulation of jump processes based on step functions with different gap lengths corresponding to the alternating values of the initial dependence were obtained. This made it possible to reveal new properties of the elements of control devices modeled by the chain interaction of accelerators with the presence of both scalar estimates of effects.
The Impact of Socio- Economic in Digital Signature Using Blockchain Application

The existence of technology is also a factor that can influence the existence of an economic and social gap, this is clearly seen in the aspect of education. Research conducted this time effectively on digital certificate issuance activities by adopting Blockchain as one of the cutting-edge technologies, which aims to provide representation and implication for the existence of digital signatures on a blockchain technology certificate, can be used as a genuine deed that can be used in the world of work as an effort to raise socio-economic standards in national society. The research method used is Blockcert which is an MIT tool barometer containing a series of activities on official document publishing activities designed based on Blockchain technology. The research will show that Digital Signatures Using Blockchain Applications in certificate issuance management will be able to have a significant impact on the distribution of all information on certificate dissemination activities and substantially impact the national Socio-economic.
LFTD: A Light and Fast Text Detector

Aiming at the problem that the existing text detection technology runs slowly on edge devices and terminal devices with limited storage space and low computing capacity, this paper proposes a method based on A Light and Fast Face Detector for Edge Devices (LFFD) and Connectionist Text Proposal Network. (CTPN) A Light and Fast Text Detector (LFTD). First of all, distinguishing from the current situation of large number of parameters and complex model structure of previous text detectors, this paper is based on the LFFD face detection model. It introduces the characteristics that it does not need to preset a large number of anchor boxes with different sizes and proportions, which makes the detection box network in this paper. The frame is lighter. Secondly, for the problem that the detection range of text and image detection frames is different, this paper improves the label part of LFFD and combines the CTPN method to divide the detection frame of this article into several detection frames according to the font size. The proposed method can theoretically detect Large continuous text scale with 100% coverage. Experiments were performed on popular benchmark datasets (ICDAR11, ICDAR13 and ICDAR15). The proposed method can obtain fast inference speed (NVIDIA TITAN 1080Ti: 131.45 FPS at 640 × 480; NVIDIA 2080Ti at 640 × 480: 136.99 FPS; 640 × 480 Raspberry Pi 3 Type B +: 8.44 FPS), the parameter amount of this model is 8 MB.
PEMETAAN DAERAH POTENSI LONGSOR DI KABUPATEN TRENGGALEK MENGGUNAKAN DATA CITRA SATELIT MULTI-TEMPORAL

The use of three satellite imagery data at the same location and different time are 2003, 2013 and 2018, resulting in three potential maps of landslide with different time series of 2003, 2013, and 2018.. Map of potential landslides generated classified in three classes of potential landslide levels. The result of a potential landslide map indicates there is a difference in potential level classes. In the span of years 2003 to 2013 there was a total change in the class of potential levels of 10082.25 hectares of the total area of Trenggalek Regency. From 2013 to 2018 there were a change of 14882.77 hectares. Calculation of correlation between land cover area change with potential landslide change is equal + 1. This value indicates a very strong positive correlation between changes in the area of landslide potential with the change in land cover. The use of three satellite imagery data at the same location and different time are 2003, 2013 and 2018, resulting in three potential maps of landslide with different time series of 2003, 2013, and 2018.. Map of potential landslides generated classified in three classes of potential landslide levels. The result of a potential landslide map indicates there is a difference in potential level classes. In the span of years 2003 to 2013 there was a total change in the class of potential levels of 10082.25 hectares of the total area of Trenggalek Regency. From 2013 to 2018 there were a change of 14882.77 hectares. Calculation of correlation between land cover area change with potential landslide change is equal + 1. This value indicates a very strong positive correlation between changes in the area of landslide potential with the change in land cover.
Combination of information coding methods as a condition of effective physical concepts development in primary school

The paper discusses a way to resolve the contradiction between high requirements of the modern Federal state educational standard (FSES) to the level of training and intellectual development of primary school graduates and the lack of effective didactic means and teaching methods that ensure assimilation of students abstract elements of the curriculum, which were previously studied only in high school. The researches by Russian psychologists (V.N. Druzhinin, M.A. Holodnaya, etc.) show that an essential element of the individual intellect are mental conceptual structures, and their optimal development is provided by a collection of specially prepared learning tasks, involving the use of three modalities of experience (sensual-effective, figurative, symbolic). On the example of teaching methods design of electromagnetic induction in primary school, the author shows the sequence and specifics of the teachers actions, which allow to build a complex of didactic means for the full enrichment of the mental experience of students and organize their educational activities in accordance with the needs of school physical education, taking into account psychological laws of individual intelligence development together with modern private didactic approaches to the management of intellectual development of students. The proposed method of training and a set of training tasks that meet the requirements of the target orientation, target sufficiency, increasing the level of difficulty, motivational orientation, were approved in Samara Aviation Lyceum № 135 and showed high efficiency in terms of intellectual development and training of primary school students.
APPLICATION OF THE SCRUM METHOD IN THE MODERN EDUCATIONAL ENVIRONMENT

The article highlights theoretical approaches to defining the concepts of Scrum and eduScrum. In this aspect, the issues of relevance of the application of this methodology in the higher education system are considered. Successful foreign practices of implementing Scrum in the educational process are considered. Special attention was paid to the importance and usefulness of using Scrum in project activities for University students.
Enhanced clustering embedded in curvilinear distance analysis guided by pairwise constraints

Clustering and dimensionality reduction have received widespread attention owing to their excellent performance when applied to data analysis. When traditional methods are used to process high-dimensional data, dimensionality reduction is performed prior before the classification or clustering, the steps of which are sequential and have low accuracy. A novel method, enhanced clustering embedded in curvilinear distance analysis (eceCDA) guided by pairwise constraints, is proposed to solve this issue. During the eceCDA procedure, unsupervised learning algorithms are used to learn the reliable pairwise constraints. The curvilinear distance between any two samples in a high-dimensional space is then computed. Next, a weight function is constructed to maintain the local topology of samples in the projection space. Finally, the pairwise curvilinear distance is projected into a low-dimensional space guided by pairwise constraints and clustering criteria. Hence, dimensionality reduction and clustering can be executed simultaneously with high accuracy. To demonstrate the superior performance of eceCDA, extensive experiments were performed on several benchmarks. The experimental results show that eceCDA outperformed other well-known clustering and dimensionality reduction algorithms.
Development of a Training System for Modeling and Demonstrating Cryptographic Protocols Quantum Key Distribution

The analysis of the foundations of modern cryptographic systems is carried out. Problems of classical cryptography arising in the development of quantum computers are considered. Considered are cryptographic protocols of quantum key distribution, their advantages and disadvantages. The analysis of stands for simulation of quantum key distribution available on the market is carried out. The rationale for the need to develop a training system has been made. The authors have developed a system for modeling and demonstrating quantum cryptographic protocols BB84, B92 and BB84 (4 + 2), intended for a detailed study of the principles of quantum cryptographic protocols in dynamics. The system provides the process of work both in text and graphic form. The developed system fully meets the needs of teaching students modern quantum information security technologies.