Reviewerly/exHarmony huggingface dataset:
Identification friend or foe (IFF) of aircraft target based on TS-ANFIS

The target identification of friend or foe is one of the important means of military confrontation in the modern informationized battlefield. It can greatly enhance the accuracy of combat command and control, and the coordination between combat units, then reduce the probability of false injury. In this paper, a target attribute recognition algorithm is proposed based on the Time Series-Adaptive Neuro-Fuzzy Inference System (TS-ANFIS) with consideration of target motion characteristics. The altitude, speed and flexibility information of tracks detected by radar are preprocessed as time series and act as input data to train the TS-ANFIS networks of corresponding airspace. Then evidence theory is introduced to fuse the recognition confidence. Experiments on the generated track dataset demonstrate the effectiveness of TS-ANFIS to learn the motion features and distinguish target attributes.
Automatic knee segmentation using eagle algorithm with multi stochastic objective process

In our living world, Osteoarthritis (OA) is known to be foremost sicknesses which affect the knee region especially affect hoarier people.The reason for OA in a person may be due to ageing, malformed joints, rough cartilage, genetics effects or continuous repetitive stress towards the joint.Magnetic Resonance Imaging (MRI) enacts a vigorous role in the medical field for detecting issues regarding bone structure, cartilage, and meniscus region and tibia bone.Though it provides the details about the bone, it is not useful to detect clearly about the faults in the bone due to many unfavorable conditions like poor segmentation, broken pixels or some other natural issues including the shakes while clicking the image, blurring, etc. Besides, manual calculations have some unexceptional error with partial accuracy.Hence automated segmentation should be implemented for achieving perfection in accuracy and the bone segmentation.In our work, we proposed eagle algorithm as the segmentation method which provides an improved accuracy in contrast with other traditional methods.The performance is measured by the metrics such as thickness, mean and Standard Deviation (SD).
Klasifikasi SMS Spam Berbahasa Indonesia Menggunakan Algoritma Multinomial Naïve Bayes

Based on a report submitted by Truecaller Insights Report 2020, Indonesia placed sixth position with the most spam messages, one of the spam applications is SMS. Spam SMS contains unwanted or unsolicited messages, including advertisements, scams and so on. The existence of this spam message causes inconvenience from the user's side when receiving spam SMS, and some even become victims of crime after responding to the SMS. To minimize inconvenience and crime caused by spam messages, the purpose of this study is to filter SMS spam or SMS filtering by classifying SMS spam using the Multinomial Naïve Bayes algorithm by looking for the best combination of parameters to improve the performance of the model that is formed. The results of model testing get the highest precision value in the MNB and SVM models by 93%, the highest recall value in the SVM model at 94%, the highest f1-score value in the SVM model at 94%, the highest accuracy value in the SVM model at 95%, and the fastest test time on the MNB model is 2.66 ms
The Implementation of Strategic Threat Intelligence for Business Organization

Nowadays strategic threat intelligence is very important to all the organization. Strategic cyber threat intelligence can determine who and why to provide key insights to the organization. It purpose is to determine who is behind a particular threat or threat family and addressing to evolving trends. The strategic level of cyber threat intelligence also included and explains about why. Why makes a company or an organization a target? Strategic Threat Intelligence offer the overview of the threat status of the organization. Therefore, the C-Suite include chief executive officer (CEO), chief financial officer (CFO), chief operating officer (COO) and chief information officer (CIO) of the organization use cyber threat intelligence data to understand the high-level trends and threats to the company or the organization. The C-Suite of the organization also need to know how to implement the strategic threat intelligence to prevent unexpected things happen. This research paper aims to discuss about the importance of the strategic threat intelligence to the company or organization and how to implement it. After knowing and understanding the implementation of strategic threat intelligence to the company or organization, this research paper also will discuss about the when of using strategic threat intelligence. The issue and challenges is also discussed in the article.
Formal concept analysis model for static code analysis

Tools that focus on static code analysis for early error detection are of utmost importance in software development, especially since the propagation of errors is strongly related to higher costs in the development process. Formal Concept Analysis is a prominent field of applied mathematics that uses conceptual landscapes to discover and represent maximal clusters of data. Its expressive visualization method makes it suitable for exploratory analyses in different fields. In this paper we present a Formal Concept Analysis framework for static code analysis that can serve as a model for quantitative and qualitative exploration and interpretation of such results.
Assignment-Based Balaghah Learning Module Application to Increase Literary Appreciation

Literary appreciation is the real goal in learning Balaghah. So we need a balaghah learning module that can harmonize balaghah learning with the real goal, namely the appreciation of literature. This research is intended to: 1) reveal the steps of making assignment-based Balaghah learning modules to improve Literary Appreciation; 2) Measure the effectiveness of using assignment-based Balaghah learning modules as an effort to increase literary appreciation. The researcher uses a qualitative and quantitative approach with the design of the Borg and Gall R&amp;D research method which is simplified into six steps, namely: needs analysis, design of teaching materials, validity from experts, revisions, field tests, and refinement of modules as textbooks. The data collection methods used by researchers are observation, interviews, questionnaires, tests, and documentation studies. The results of this study: 1) The realization of the Balaghah learning module along with its characteristics and advantages, namely a module that can increase assignment-based literary appreciation in the learning process so that students can communicate and apply Arabic language skills with beautiful language and literary styles. 2) The Balaghah learning module developed is proven to be effective in increasing literary appreciation, based on the conclusion that the t-test with a level of 9,000 is greater than t-table 2.101 and a significance value of 0.000 is less than alpha of 0.050, from this it shows that there is a clear difference after the application assignment-based Balaghah Science Learning module to increase literary appreciation at the Adnan Al-Charis Islamic Boarding School Bojonegoro
Cryptosystem using Crossover Function and Logical Operators

As technology is growing faster and exchanging of data is mostly carried through internet different mechanisms are being developed to counter unwanted access to the data. By introducing the web and pay out programs, it becomes very difficult to protect the data even with more mechanisms. It is becoming a big concern and worry in securing individuals data. These types of problems can be solved with cryptography and data can be secured in the network. In developing security systems Genetic algorithms are playing important role. In this proposed work crossover function from Genetic algorithms along with bitwise logical operations are used together to build a hybrid cryptosystem.
Pengenalan literasi media untuk pencegahan konflik sosial pada siswa sekolah dasar di wilayah perdesaan

Human development in the field of education is very important because it relates to the quality of human life in other fields, one of which is on the social aspects, especially those related to children. The condition that occurs in children today is the high use and negative exposure of mass media, especially from the use of television and the internet. The high use of this media is not accompanied by adequate skills in children regarding access and ability to analyze the content of media messages so that negative impacts of use appear, including social conflicts between children in their environment. The purpose of this activity is to introduce the ability to access, analyze, evaluate and communicate messages in various forms of communication and information media for the prevention of social conflict in children. The method of carrying out activities using lecture, demonstration, and discussion methods. The subject of the activity is elementary school age children in Panembong Village, Bayongbong District, Garut Regency. The implementation process is carried out with the assessment stage, the implementation stage, and the assessment stage as well as the evaluation stage. The results of this activity illustrate the existence of better knowledge and understanding of elementary school age children in accessing, analyzing, evaluating and communicating messages in various forms of communication and information media, especially to prevent social conflict between peers.
Behavioral synergic relations between eye and postural movements in young adults searching to locate objects in room inside houses

During precise gaze shifts, eye, head, and body movements exhibit synergic relations. In the present study, we tested the existence of behavioural synergic relations between eye and postural movements in a goal-directed, precise, visual search task (locate target objects in large images). More precisely, we tested if postural control could be adjusted specifically to facilitate precise gaze shifts. Participants also performed a free-viewing task (gaze images with no goal) and a fixation task. In both search and free-viewing tasks, young participants (n = 20; mean age = 22 years) were free to move their eyes, head, and body segments as they pleased to self-explore the images with no external perturbation. We measured eye and postural kinematic movements. The results showed significant negative correlations between eye and postural (head and upper back) movements in the precise task, but not in the free-viewing task. The negative correlations were considered to be stabilizing and synergic. Indeed, the further the eyes moved, the more postural variables were adjusted to reduce postural sway. These results suggest that postural control was adjusted to succeed in subtle and active self-induced precise gaze shifts. Furthermore, partial correlations showed significant relations between (1) task performance to find target objects and (2) synergic relations between eye and postural movements. These later results tend to show that synergic eye-postural relations were performed to improve the task performance in the precise visual task.
Robust Visual Tracking Based on a Modified Flower Pollination Algorithm

In this study, a target tracking algorithm based on the flower pollination algorithm (FPA) is proposed. This method solves the problem of robust visual target tracking in different complex tracking scenes with the good global and local optimisation ability of the FPA. Meanwhile, with the aim of solving the problem of invalid background feature interference and the loss of effective features caused by the fixed scale of tracking frame in traditional tracking methods, a scale adaptive adjustment model of tracking frame is proposed. Considering that the FPA has good global and local optimization ability at simultaneously, the position update equation of the FPA is introduced as the main optimization method of target tracking. In addition, considering that the traditional FPA is similar to classical swarm intelligence algorithm (such as the particle swarm optimization algorithm), it also faces the problems of a high probability of falling into local extrema, a low efficiency of late convergence speed and a high probability of early maturity. Therefore, this work proposes the GTFPA, an advanced FPA based on the gravitational search algorithm (GSA) and mutation mechanism via a trigonometric function. We qualitatively, quantitatively and statistically compare the proposed method with other classical general tracking methods through two datasets, OTB2015 and VOT2018, which contain hundreds of video sequences and more than ten tracking scenes and can effectively test the success rate, accuracy and stability of the trackers. The results of a large number of tracking experiments in a variety of complex tracking scenarios prove that the proposed GTFPA tracker performs well with regards to efficiency, accuracy and robustness.
Methods of Formation of Digital Competence of Future Teachers of Art Disciplines in Higher Education Institutions of China

With the introduction of digital educational technologies, the learning process is changing. Digital technologies are not only a tool, but also a living environment for modern learners, which opens up new opportunities: learning at any convenient time, continuing education, the ability to form individual educational routes for students. However, such an environment requires teachers to take a different approach to the organization of the educational process, to acquire new skills and abilities for work, in particular the formation of their digital competence in the digital educational space. In these conditions, the system of pedagogical education should provide training for future teachers of art disciplines, which has a high level of digital competence. The purpose of the article is to reveal the essence of the concept of «digital competence» on the basis of the analysis of scientific literature and to determine the methods of formation of future art disciplines teachers’ digital competence in higher education institutions of China. To achieve the goal of the study, the following research methods were used: analysis of scientific literature, observation, systems analysis, comparative analysis, modeling method, classification method; methods of comparative analysis and analogy, design method; methods of systematization, generalization, logical analysis, analysis of personal experience of teaching and learning, comparison and interpretation of the obtained data. The results of the study show that the digital competence of future teachers of art disciplines consists of four components: motivational-personal (internal and external motives for their future professional activity), cognitive (a set of theoretical knowledge, skills and abilities of future teachers to effectively organize the educational process using digital teaching aids), activity (practical implementation of professional and pedagogical knowledge of a future teacher, his intellectual, cognitive, technical, design and technological skills, necessary skills for effective implementation of digital technologies in the educational process) and reflection-evaluation (ability to analyze and self-analyze, coordination of goals, methods and results, awareness of their style of activity, readiness for their creative change). Conclusions. These components of digital competence of future teachers of art disciplines should be formed taking into account the specifics of professional activity and appropriate methods.
INFLUENCE OF SOCIAL MEDIA IN POLITICAL AND TRIBAL CONFLICT IN KENYA

Purpose: Information communication and technology (ICT) has remained an innovation that has shifted attention from traditional working arrangement to a modern day of doing things in several organizations..The general objective of the study was to the study was to establish influence of integrated information communication technology on public education institution.&#x0D; Methodology: The paper used a desk study review methodology where relevant empirical literature was reviewed to identify main themes and to extract knowledge gaps.&#x0D; Findings: The study found out the use of ICT in schools, leads to educational and pedagogical outcomes which is useful to both the facilitators, teachers and the students. The use of ICT across educational institutions can promote collective, zealous and long-life learning, enhancing students’ enthusiasm, provide better convenience to information, enhance shared working resources, generating and deepen comprehension, and help learners reason and express communication creatively&#x0D; Recommendations: The study recommends that there should be more funding to particularly the public schools which are the most constrained, as well as all the others, so that the schools may afford to procure computer hardware, management software, and Internet connectivity which are critical in supporting management functions in the schools and also for the investments sustainability. Such funding will address the initial high cost of ICT infrastructure as well as the recurrent cost of maintenance and operations like hardware servicing, acquisition of requisite and updated software, printing and data
Developing English for Specific Purposes (ESP) Courses in IT: A Narrative Experience of the Universidad Técnica Nacional

The importance of English and technology for the workplace increases the need of higher education schools to develop and promote English for specific purpose (ESP) programs that provide students with both effective communication competences and digital skills to prepare them for their professional development. Consequently, it has become a great challenge for English educators to look for innovative techniques to improve these two competences based on the activities that are relevant and typical to their profession and context. The preset work aims to share a one-year experience in the design and development of three-course program on English for technology, for the English as a Second Language Program at Universidad Técnica Nacional.
Deep learning neural network seismic big-data analysis of earthquake correlations in distinct seismic regions

Seismic activity along the Greek vicinity comprises the net product emerging from the critical movement of the tectonic plates beneath the eastern Mediterranean Sea.
Research on equivalent construction technology of stealth coating in RCS measurement

The acquisition of the target characteristics of stealth aircraft plays an important role in the development of anti-stealth weapons and equipment in various countries. For non-cooperative stealth targets, the stealth coating is widely used on the stealth aircraft surface, and it is difficult to construct the electromagnetic target model in the absence of unknown electromagnetic properties of the stealth material. In this work, based on the coated plate specimens, the reflectance approximation method is used to construct the scaled model. The RCS value of the scaled model can maintain good consistency with the original sample. Based on the diversity of the scaled model, the scattering characteristics of each scaled model is nearly the same, the concept of the equivalent structure of the stealth coating is proposed, and the corresponding materials are extended to several other typical samples (coated slit plate, coated dihedral plate) and verified respectively. The research method in this work has a driving role for the accurate acquisition of the characteristics of non-cooperative stealth targets.
Desain Dan Implementasi Data Warehouse Pada Perpustakaan Daerah Provinsi Sumatera Selatan

This research will focus on processing visitor data, member data, book borrowing data and book return data at the Regional Library of South Sumatra Province. The data is stored in the form of an excel file with a large amount of data, causing problems in the storage system such as data accumulation, data loss, no data analysis and delays in the reporting process. The process of data storage and data retrieval will be well integrated by building a data Warehouse at the Regional Library of South Sumatra Province. Data Warehouse is a system that contains several years of history and facilitates decision making. At the data Warehouse design stage using the Nine-Step method (Kimball, 2002), in this method there are nine steps in designing a data Warehouse, namely Process Selection, Grain Selection, Identification of dimensional adjustments, Fact Selection, Storage of initial calculations in the fact table, Reviewing the dimension table, selecting the database duration, tracking dimension changes, and prioritizing, querying the model and selecting the physical design. And the design and data processing process will use the Pentaho kettle and public Tableau applications, with the design and implementation of the data Warehouse, it is expected to help facilitate the reporting and analysis process for the Regional Library of South Sumatra Province.
Postmodern And Holism In The Philosophy Of Modern Education

The purpose of this work is to show the main aspects of the methodology of modern mass education, their advantages and disadvantages, the influence on the processes of globalization and on the general development of human civilization.In this work the following are considered: general methodological approaches to the organization and functioning of educational systems; methodological aspects of modern education; the phenomenon of pluralism in worldview, science, education and culture; its particular postmodern interpretation in the philosophy of modern education.It is shown that the education system in any country should initially be built not only for the reproduction of society and social relations, but also for its preservation and further development.At the same time, the postmodern philosophy reduces the ordered diversity of knowledge to conceptual chaos, as a result of which the main problems of education cannot be solved.On the basis of this philosophy in most educational systems there is a transition from education itself, to a system of professional training that reduces the main goal of education to gaining skills, the so-called competencies.Such a goal does not allow trainees to achieve a balance in the trinitarian knowledge-experience-understanding structure.This problem is solved only by the philosophy of holism, on the basis of which institutions of integral education are created in the world, examples of which are given in the work.