Reviewerly/exHarmony huggingface dataset:
Efficient Hybrid DCT-Wiener Algorithm Based Deep Learning Approach For Semantic Shape Segmentation

Semantic segmentation is effective in numerous object classification tasks such as autonomous vehicles and scene understanding. With the advent in the deep learning domain, lots of efforts are seen in applying deep learning algorithms for semantic segmentation. Most of the algorithms gain the required accuracy while compromising on their storage and computational requirements. The work showcases the implementation of Convolutional Neural Network (CNN) using Discrete Cosine Transform (DCT), where DCT exhibit exceptional energy compaction properties. The proposed Adaptive Weight Wiener Filter (AWWF) rearranges the DCT coefficients by truncating the high frequency coefficients. AWWF-DCT model reinstate the convolutional layers giving modularity in the design using multi scale convolution block. The impact of selection of DCT coefficients in the proposed model is validated on the benchmark database as City Spaces. The same level of accuracy compared to the conventional algorithm is achieved using only 40 % of the DCT coefficients. Extensive experiments validate the advantages of adaptive DCT modeling of CNN in semantic segmentation and image classification.
Effective ANN Model based on Neuro-Evolution Mechanism for Realistic Software Estimates in the Early Phase of Software Development

There is no doubt that the software industry is one of the fastest-growing sectors on the planet today.As the cost of the entire development process continues to rise, an effective mechanism is needed to estimate the required development cost to control better the cost overrun problem and make the final software product more competitive.However, in the early stages of planning, the project managers have difficulty estimating the realistic value of the effort and cost required to execute development activities.Software evaluation prior to development can minimize risk and upsurge project success rates.Many techniques have been suggested and employed for cost estimation.However, computations based on several of these techniques show that the estimation of development effort and cost vary, which may cause problems for software industries in allocating overall resources costs.The proposed research study proposes the artificial neural network (ANN) based Neural-Evolution technique to provide more realistic software estimates in the early stages of development.The proposed model uses the advantages of the topology augmentation using an evolutionary algorithm to automate and achieve optimality in ANN construction and training.Based on the results and performance analysis, it is observed that software effort prediction using the proposed approach is more accurate and better than other existing approaches.
Pelaksanaan Knowledge Management dalam Tata Kelola Jurnal Pustaka Ilmiah Universitas Sebelas Maret Surakarta

This study aims to: describe the practice of implementing knowledge management in the management of the Jurnal Pustaka Ilmiah Journal, and to find out what activities are oriented towards increasing the culture of sharing knowledge in the management of the Jurnal Pustaka Ilmiah Journal. This research is a descriptive qualitative research. Data collection was carried out using interview, observation and documentation methods. The informants in this study were the managers of the current and previous Jurnal Pustaka Ilmiah Journal, amounting to 4 people. The data presented in a narrative format and equipped with supporting pictures in several parts. The findings of this study are that Jurnal Pustaka Ilmiah Journal's human resources was still very limited, but have a strong commitment. Jurnal Pustaka Ilmiah Journal was led by an egalitarian leadership style. Communication between managers is carried out over various media both synchronously and asynchronously. Institutions play a role in providing material-immaterial support in this matter even though the intensity is still limited to ceremonial. Meanwhile, the learning process in managing Jurnal Pustaka Ilmiah Journal found that managers did not hesitate to try new things to improve the quality of journal management. The success of the knowledge transfer process is not the success of the journal manager alone, but rather needs to get support from various elements, such as the participation of parent institutions which is not limited to ceremonial to create a strong and professional management. This will have implications for increasing the confidence of readers and writers in Jurnal Pustaka Ilmiah as a credible reference in the field of library and information sciences .
Method of increasing the reliability of knowledge-oriented systems software through code reuse mechanisms

The issues of possibility of application of the code reuse mechanism in the process of designing and developing software of knowledge-oriented systems have been considered. The necessity of an individual research on the development of software for analytical and information resources that provide support to all participants in the process of knowledge-oriented systems software development has been proved. The necessity of using the mechanisms of reuse of previously developed and verified program code as an element of the information resource has been shown. In frame of the developed method of improving the reliability of knowledge-oriented systems software through the of code reuse mechanisms, a new visual form of function libraries representation in the shape of a single software shell has been proposed. As a basic framework for solving the problem of information resource development, usage of Unified Modeling Language (UML), which is based on the paradigm of object-oriented programming has been proposed. Mentioned choice is justified by the fact that UML is an integral part of a unified software development process and is essentially an open standard that uses graphical notation to create an abstract model of the system. The obtained theoretical provisions are imaged into a running example, which shows one of the possible options for organizing libraries of functions as an element of the information resource. The use case diagrams, interaction diagrams, sequence diagrams, class diagrams have been developed and justified. Based on the obtained practical results, a block diagram of the method, which, in contrast to existing solutions, includes a procedure for generating of proofreads for basic UML-diagrams in accordance with requirements of the programming environments has been proposed.
The Impact of the Two Infographics Types in Terms of Presentation on Developing the Cognitive and Performance Aspects of Digital Graphics Design Skills and Motivation Towards them among Students of Educational Technology at The University of Jeddah

The aim of this research is to reveal the effect of the interaction between the two types of Infographics in terms of presentation (static, motion) in developing digital graphics design skills and motivation towards it among undergraduate students in the Department of Educational Technology, College of Education, University of Jeddah, Saudi Arabia. To achieve this, the experimental method was used, and the research was applied to a sample of 109 students, who were divided into four experimental groups according to the infographic technique used in education. The study reached a number of results, the most important of which is the absence of statistically significant differences at the level (α &lt; 0.05) between the two types of Infographics in terms of presentation method (static, motion) in the development of cognitive aspects and performance aspects of digital graphic design skills and motivation towards them among students of Educational Technology in experimental groups at the University of Jeddah. In addition, there were no statistically significant differences at the level (α &lt; 0.05) between the two types of Infographics in terms of presentation (static, motion) in developing motivation towards digital graphics among students of Educational Technology in experimental groups at the University of Jeddah.&nbsp; In light of these results, the research recommended the necessity of employing infographic technology in its fixed and mobile modes in teaching the digital graphics course and other courses, and in presenting the cognitive and performance structure of the course content to students, because of its significant impact on the development of performance and cognitive skills and raising the efficiency of education compared to traditional methods.
A Proposed Model to eliminate the Confusion of Hematological Diseases in Thin Blood Smear by Using Deep Learning-Pretrained Model

This research aimed to developing and designing a model for resolving the confusion between hematology in a thin blood smear by means of a pre-defined deep learning model for detection and identification of hematological diseases in thin blood smear images for accurate diagnosis of the different diseases that leukemia and malaria were performed as a sample. There are catastrophic consequences that may lead to death as a result of a mistake in diagnosis and confusion in the knowledge of the disease in particular, especially in hematology, where another disease that was not originally found in the sample is identified for the similarity, which results in surgery and sometimes the administration of drugs in error. In this work, an image processing system was developed to identify patients with malaria and leukemia. The techniques in deep learning have been implemented where the CNN (Alexnet and Resnet50) image recognition model was applied to detect patterns and extract features of the different types of malaria and leukemia from the images. And that is through developing algorithms to distinguish between the two diseases, discovering the presence of similarities in the patterns of stages and the different types of malaria and leukemia in blood images, and reaching to solve the problem of confusion by training, verification, and testing using the mutual verification system that uses three folds. The system achieved an accuracy of 94.3% for Resnet50 and 92.3 for Alexnet in detecting and classifying the types and stages of the two diseases (malaria and leukemia). And 100% to distinguish between them.
Development of a digital educational platform using augmented reality and gamification technologies to intensify learning and cognitive activities of students in the course of studying the subject

Today, virtual and augmented reality technologies are most popular in the field of education. This article provides an analysis and example of the development of a digital educational platform, the results of a survey among students, and the problem points encountered in the process of implementation. There are demonstrated stages of development of one of the main elements of the digital educational platform - a virtual laboratory. The virtual laboratory was developed for the discipline "Electrical machines". There was realized the model of the laboratory bench, which was used in the traditional mode of teaching. The developed virtual laboratory can help technical students to get closer to the devices and technologies, to understand their structure and operation as a whole, and will also contribute to the development of their professional skills.
Noise-Free Security Assessment of Eviction Set Construction Algorithms with Randomized Caches

Cache timing attacks, i.e., a class of remote side-channel attack, have become very popular in recent years. Eviction set construction is a common step for many such attacks, and algorithms for building them are evolving rapidly. On the other hand, countermeasures are also being actively researched and developed. However, most countermeasures have been designed to secure last-level caches and few of them actually protect the entire memory hierarchy. Cache randomization is a well-known mitigation technique against cache attacks that has a low-performance overhead. In this study, we attempted to determine whether address randomization on first-level caches is worth considering from a security perspective. In this paper, we present the implementation of a noise-free cache simulation framework that enables the analysis of the behavior of eviction set construction algorithms. We show that randomization at the first level of caches (L1) brings about improvements in security but is not sufficient to mitigate all known algorithms, such as the recently developed Prime–Prune–Probe technique. Nevertheless, we show that L1 randomization can be combined with a lightweight random eviction technique in higher-level caches to mitigate known conflict-based cache attacks.
How to teach English

In this article we are talking about Teaching English and about how to getgood results from lesson. No matter, what your background level, you will constant new challenges. There are some tips for teaching beginners. Teachersshould keep instructions clear and simple. The teachers should not forget that students are fluent in their own language. Beginners need lots of repetition andteachers should be patient. Managing the class is also very important. Nowa- days there are lots of modern teaching methods which teachers can use. Let’s take turn to lesson plan. Some experienced teachers think a lesson plan is not important. Giving homework and giving effective feedback are also a big part of lesson. These pieces of advice about managing class will help you how to teach English effectively.
NLAPOST2021 1st Shared Task on Part-of-Speech Tagging for Nguni Languages

Parts of Speech Tagging (POS Tagging) is a process of assigning labels to each word in text, to indicate its lexical category based on the context it appears in. The POS tagging problem is considered a mostly solved problem in languages with a lot of NLP resources such as English. However, this problem is still an open problem for languages with less NLP resources such as the Nguni languages. This is owing to unavailability of large amounts of labelled data to train POS tagging models. The rich morphological structure and the agglutinative nature of these languages make the POS tagging problem more challenging when compared to a language like English. With this in mind, we have organised a challenge for training POS Tagging models on a limited amount of data for four Nguni languages: isiZulu, siSwati, isiNdebele, and isiXhosa.
JASTE: An Efficient Multi-Task Model for Aspect Sentiment Triplet Extraction

Aspect sentiment triplet extraction (ASTE) is a relative difficult and novel research, which is a subtask of aspect-based sentiment analysis (ABSA). ASTE is a task that extracts triplets of aspects being discussed, relevant opinion entities and sentiment polarities from a given sentence. Existing approaches mainly deal with this problem by pipeline or simple multi-task structure, which do not take full advantage of the strong correlation among the three elements of the triplet. In this work, we adopt two special tagging schemes, AOBIO and Pair Tagging Scheme (PTS), and propose an efficient end-to-end multi-task model named Joint Aspect Sentiment Triplet Extraction (JASTE) to address ASTE task. JASTE is composed of three modules: aspect and opinion extraction module, relation module and sentiment module. Specially, the relation module is designed to capture the relationship between aspect and opinion properly. The three modules interact with each other by sharing the same embedding. Extensive experimental results on different benchmark datasets show that JASTE can significantly outperform state-of-the-art performances.
Computational Fluid Dynamic Analysis of the Flow though T-junction and Venturi Meter

This study investigates the influence of turbulent parameters on the characteristic centreline of a fluid flow through a T-junction connected to a Vinturi tube through a pipe.Continuity equation, Momentum equation, and Energy equation of water are modelled and solved by using the ANSYS FLUENT 2020R1 Software free Demo.While the turbulent model with standard (k-ε) type is used to compute the turbulent parameters such as turbulent kinetic energy and turbulent dissipation rate for a pipe inner diameter of (D =25 mm) with a length from the T-junction centre line and at the outlet of the Venturi meter is (350 mm).The Reynolds number variation ranged from (1x10 4 to 3x10 4 ) at the step of (5000).The water flowing is considered in an x-direction flow to show the effects of the above parameters.The model is obtained on the velocity distribution, pressure drop distribution, turbulent kinetic energy, and turbulent dissipation rate.The results showed a discrepancy in the values of the effect of the T-junction on the Venturi meter concerning the velocity distribution and pressure drop, while they showed similar behaviour for the turbulence parameters.
Effects of Creative Convergence Class of Design Thinking on improving University Students' Creativity Confluence Competency and Problem Solving Ability

This study analyzed the effects of design-thinking-based creativity competency class on the improvement of college students' creativity convergence competency and problem-solving ability.For 15 weeks in one semester, 52 college students in the experimental group took a creativity convergence class based on design thinking, and 50 college students in the control group took a creative thinking development class.To measure the creativity convergence competency and problem-solving ability of university students, pre-test and post-test were conducted using the university student's creativity convergence competency test and the university student's problem-solving ability test.As a result of this study, it was found that the creativity convergence class based on design thinking is effective in improving the creativity convergence competency and problem-solving ability of university students.The results of this study imply that it is necessary to improve and implement a differentiated creativity convergence curriculum in each university because the creativity convergence class using design thinking can improve the creativity convergence competency and problem-solving ability of university students.
Teacher’s Image of a Higher Educational Institution of the Federal Penitentiary Service of Russia during Distance Learning

The successful activity of educational organisations operating in a new digital reality largely depends on adaptability to new realities and the speed of organising the educational process using the "digital".The digital environment completely changes the activities of a higher school teacher, who, in current conditions of interaction with students through distance educational platforms, changes and adapts the theoretical and practical material of the course being studied and the skills of interaction with students.The article raises the question of how the realities of the distance learning format influenced the formation of the teacher's image among the cadets of the departmental university.The authors attempted to study the factors that influence the authority of a teacher working in a departmental university during distance learning.Within the framework of this article, the authors conclude that students' interests, as the main subjects of educational activity, are fundamental for teachers of higher education.
Ontology for Effective Security Incident Management

With the evolution of technologies like Internet of Things (IoTs), there will be more and more connected devices in use around the world. This is one of the reasons why cyber security is critical to contemporary society as it makes the large majority susceptible to cyber-attacks. Such cyber-attacks not only impact confidentiality, integrity, and availability but also can cause physical damage. This is evident from cyber-attacks like Stuxnet and German steel mill. Effective security incident management plays an important role in minimising negative impact of such attacks mainly in terms of the organizations’ finance, reputation, and personnel safety. Typically, the main phases of security incident management include: (i) preparation, (ii) mid-incident, and (iv) post-incident. There are diverse set of concepts like Structured Threat Information Expression (STIX) and Incident Object Description Exchange Format (IODEF) in the above-mentioned phases of security incident management. However, a comprehensive overview of different concepts and the relationships between such concepts in security incident management is missing. In this paper, we develop an ontology model with relevant concepts and their corresponding relationships between them especially in the mid-incident and post-incident phases of security incident management. Furthermore, we demonstrate the proposed ontology model using colonial pipeline example case study. The proposed model will help incident responders to operationalise concepts, by having a clear understanding on different concepts and their corresponding relationships, which in turn would also make the incident response more effective in practice.
Education and social networking: Between connectivism and the critical social philosophy of the new media

The so-called Internet Studies have highlighted the importance of pedagogy declined as a philosophy of education, as a science able to provide, together with other social and cultural sciences, a significant contribution to the understanding of the implications and educational potential of the Net in the age of infosphere. Over the past few years, the so-called social networking pedagogy has emerged as an interdisciplinary approach focusing on curriculum and training. It is a pedagogy that identifies in the interaction that takes place, for example, in social networks (containers for communicative interaction) the possibility of developing a learning and training model that not only opens up new scenarios for education of the future through new media but also allows to understand critically the whole contemporary culture. Therefore, starting from the analysis of this scenario and using a theoretical methodology based on mainly hermeneutical-deconstructive and historical-dialectical approaches, the article outlines the possible epistemological framework for the networking pedagogy within the Internet studies, and identifies its main issues. The authors highlight how this specific pedagogy develops today as a pedagogy of culture characterized by a positive and optimistic approach to the new media (with particular reference to social networks). After identifying the advantages and disadvantages of the new media, such a pedagogy intends to consider pedagogical issues that teachers and trainers have to focus on and transform into effective educational communication content and tools for the curriculum. The article examines the contributions of the critical pedagogy scholars David Trend and Henry Giroux who can be considered the pioneers of networking pedagogy. The article concludes by highlighting the importance of ethics as a pedagogical practice that, through control, regulation and supervision of communicative interactions in social networks, paves the way for their conscious and educational use.