Reviewerly/exHarmony huggingface dataset:
Introduction to the Ha'a Luha Ritual of the Kemak Tribe from Belu Regency Based on Multimedia

The Ha'a luha ritual is a ritual that is very attached to the Kemak Mi bei community. They think this tradition is very sacred and is carried out yearly because of certain beliefs that convince the assembly of the ha'a luha traditional ceremony. Therefore, many tourists still need to learn about this ritual due to the lack of multimedia-based information media that can provide complete information. Based on this problem, an idea emerged to build a multimedia-based information system to make it easier for everyone to learn about this ritual. The data collection stage in this study used the Multimedia Development Lyfe Cycle (MDLC) method. The MDLC process is a Luther version of the multimedia development method. The steps of the MDLC plan consist of Concept, Design, Material Collecting, Assembly, Testing, and Distribution. This information system was built using Adobe Animate CC2019, an action script programming language, and HTML5. The design of this system uses data flowcharts, Interface Design, Storyboards, Menu views, and table structures. This system was tested using the black box method, where each test ran as expected. In this article, the researcher tries to build an application system that has never been studied by previous researchers so that it can be known by the whole community and learned by future generations so that it is easy to practice when the tribal chiefs are gone.
Rethinking feature extraction and aggregation for lightweight single-image super-resolution

Deep feature extraction and aggregation are critical components for lightweight single-image super-resolution networks. However, advanced feature extraction approaches like the reparameterization used in edge-enhanced feature distillation network increase the reparameterization structure to seven branches, which introduces additional training time and limits devices with strong parallel computing power, such as graphics processing unit. Simultaneously, commonly used feature aggregation methods, such as global and local feature aggregation, do not sufficiently exploit hierarchical features extracted from different deep feature extraction blocks. To address the above limitations, we propose a novel reparameterized branching block structure named spatially and channel diversified branching block. It employs three components with different receptive fields and two depthwise convolutions with different kernel sizes to increase spatial and channel diversity, enrich the reconstruction details, and significantly reduce the training time cost of the branches. Meanwhile, we analyze the memory consumption of generic aggregation methods and propose an adaptive hierarchical aggregation (AHA) method. It adopts a set of trainable parameters and channel attention mechanisms to implement a selective aggregation approach, further enhancing the feature aggregation’s generalization ability. Based on the proposed feature extraction and aggregation methods, we construct a spatial and channel diverse network (SCDNet). Extensive experiments across five benchmark datasets demonstrate the effectiveness of spatial and channel features in feature extraction, with AHA showing perfect aggregation ability. Our method provides superior performance over state-of-the-art single-image super-resolution methods, including reparameterized branch structures and other common approaches, in terms of both standard metrics and visual effects.
Speeding the generation of giant entangled states using low-frequency modulations

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Observation of Tavyattvyadi Kritya Suffixes according to Ashtadhyayi syllabus in Ravanarjuniyam epic

: It is well known that Sanskrit language has the oldest and most important place in all the languages of the world; therefore, it is the foundation of human civilization in this world. The literature of Sanskrit language is very rich and vast all over the world and it would not be an exaggeration to say that all the traditions of ancient Indian knowledge and science are embedded in this language. To know or understand the language or its standard form properly, it is essential to have knowledge of the grammar of that language. Ashtadhyayi composed by Acharya Panini is the main grammar of Sanskrit language, under which about 4000 sutras have been composed. Talking about the structure of this grammar, its structure is similar to a programming language like a modern computer. In Sanskrit language, there are two types of words on the basis of grammar: verb and noun. The use of participles within the noun is very common in Sanskrit literature. The main objective of this particular research paper is to observe and present the characteristics of Tvayadi Kritya Suffixes in the context of Ravanarjuniyam epic on the basis of grammar under these participle terms.
A comparison study of machine learning techniques for phishing detection

In the last few years, phishing attacks have been increasing eventually. As the internet is developing, security for it is becoming a challenging task. Cyber-attacks and threats are increasing rapidly. These days many fake websites are created to deceive victims by collecting their login credentials, bank details, etc. Many anti-phishing products are launched into the market and use blacklists, heuristics, and visual and machine learning-based approaches, these products cannot prevent all the phishing attacks. However, unlike predicting phishing URLs, there are only a few studies that compare machine learning techniques in predicting phishing. The present study compares the predictive accuracy of several machine learning methods including Decision tree, Random forest, Multilayer Perceptions, Support Vector Machines, and XGBoost for predicting phishing URLs.
Data Deduplication using AEPAS Algorithm

Many individual people use cloud storage mainly to protect their critical data, to share great videos and pictures with other cloud users. The duplicate copies of data increase the storage capacity requirement by unnecessarily occupying the storage space. Data Deduplication is a technique for eliminating redundant duplicates of information from storage. There are few techniques available in the literature, there aren't many methods for dealing with deduplication, and those that are largely at the file level. In the existing techniques, a slight modification in the file made a significant impact on the shifting of sampling bit positions. The proposed AEPAS algorithm samples the data blocks both from the beginning and end of the files. Additionally, a query strategy was described in this paper to reduce the processing time required to find similarities. The various metrics such as Query time, CPU and Memory Utilization, etc., are employed to assess the effectiveness of the suggested algorithm. The effectiveness of the suggested algorithm AEPAS outperforms the other algorithms. Consequently, AEPAS can be implemented to the cloud computing to decrease the latency and attain both effectiveness and accurateness.
Study of Filter-based Neuromorphic Photonic Reservoir Computing for Signal Equalization in 224Gbps Sub-carrier Modulation IM-DD Short Reach Optical Fiber Communication System

The ever-increasing requirements for bandwidth in edge places higher demands on the transmission capacity and data rate of short-reach intensity-modulation and direct-detection (IM/DD) optical fiber communication systems. Advanced digital signal processing (DSP), such as neural network (NN), is verified to be a good way to improve system performance, but the complicated DSP process always means high power consumption and slow processing speed. Reservoir Computing (RC) is a machine learning algorithm suitable for time-series-based problem, which has a faster computing speed than recurrent NN (RNN). The inherent randomness of RC makes us find its potential of signal equalization in all-optical domain. In this paper, we numerically studied a neuromorphic photonic RC signal processing scheme in IM/DD system with low hardware complexity, and realize the all-optical RC through two sets of optical filter nodes. Subcarrier modulation (SCM) signal is applied to study the filter-based neuromorphic photonic RC scheme, in comparison to traditional equalization methods. Simulation results show that the photonic RC equalization can bring orders of magnitude improvement in BER over traditional schemes, and the performances of different Quadrature Amplitude Modulation (QAM) formats are also studied. Finally, the architecture implementation of photonics RC for 224Gbps SCM signal over 80km standard single-mode fiber (SSMF) transmission in C-band is numerically demonstrated.
EMERGING TRENDS IN ELEARNING AND MLEARNING FROM A BYOD PERSPECTIVE AND CYBER SECURITY POLICIES

It is undeniable that the last years have been dominated by an extensive development of computer and mobile hardware/software and Internet access that has become more dynamic, powerful and affordable. This growth influences our lives in all its aspects but more importantly it influences, now more than ever, our education. The growing use of digital learning platforms blurs the lines between mobile phones, tablets and desktop computers and opens multiple possibilities for educational programs. Using different devices for eLearning and/or mLearning (from the first levels to Lifelong Learning) has become essential in our existence and with this, the need of using our own devices in the process of learning, in business, or in vast array of conncted domains. From a cyber security point of view, the BYOD perspective has a great future in education but also in the business area due to its benefits (in equipment cost or maintenance, human and time resources). Regardless of the benefits, however, studies have also identified issues concerning security (being connected from your own device but using the resources from different organizations), because most of those systems are open and interconnected, the security aspect is a challenge which has to be addressed. This paper highlights the trends in eLearning and mLearning and the extent to which using BYOD poses cyber security threats to educational organizations. Moreover, this article highlights a few possible scenarios that could represent the future of eLearning and mLearning based on lessons learned, best practices, cyber security practices and cyber security education.
THE MANAGEMENT MODEL OF THE PHYSICAL, COMPUTER AND COMMUNICATIONS SECURITY SYSTEM IN HIGHER EDUCATION INSTITUTIONS

Security is an important management issue for all higher education institutions for the safety and security of students, staff and visitors. Also, the potential damages to the institutions can affect their reputation as a result of the incidents related to the crimes. The risk analysis of physical, IT and communications security management in member educational institutions establishes a higher level of security measures to be adopted for all legal objectives, assets and values, and is transposed into the security plan and alarm system design. Starting from the definition of the security management system and referring to the specific of higher education institutions, we propose, like objective, an integrated model management that will meet the need for security in the perspective of the current sociology-political and economic conditions. Our contribution will take into account all external / internal parameters, external / internal factors, evaluation criteria, attacks, threats and legal standards. The proposed model of physical, IT and communications security management in the case of higher education institutions is based on security barriers, monitored by a qualified security manager, inspired by computer security procedures and which can be on different security levels, but also on parallel security networks. The research consisted on developing three levels of security, correspond to the degree of security that each of the aforementioned departments should benefit from, modifying the internal analysis parameters and factors, thus reducing the security risk and bringing greater security to the education and research process. For good future results, the necessary documents will be created to lower the level of security risk so that it fits within the "ACCEPTABLE" risk level.
Image Recognition using Improved ResNet50 Model with Novel Attention Mechanism

The process of classifying an image is diverse and subject to various factors and it typically require a deep neural network. In this paper we presented a new approach to improve the existing deep learning model by including an attention mechanism. We proposed integrating an attention mechanism (CBAM) convolutional block attention module with the baseline ResNet50 architecture to enhance the accuracy of the model. We trained the Intel Image Classification dataset with and without the Attention Mechanism, which has about 25k images of resolution 150x150 divided among 6 categories. (CBAM) ResNet50 model achieved accuracy of 0.88, which is considerably better than the accuracy of the existing ResNet50 model (0.84) tested on the same dataset. Deep transfer learning has earned a lot of attraction in the field of image recognition, and these findings show that optimizing models for specific problems might be important and improving prediction accuracy.
Approach to the Subject “DETE I EKOLOGIJA” by Applyingict at Preschool Institution

This text represents working approach to the subject “CHILD AND ECOLOGY” = „DETE I EKOLOGIJA” by applying ICT at preschool institution. The work is reflected in a combination of discussions about ecology, practical presentation of rules in recycling and sorting of various waste, projection of the educational film “EKOLOGIJA” and individual solving of play sheets by children. Among the others, the aim of the work was to determine attitudes of the educators (on the rating scale) about the presented approach to the work.
Application of hierarchy analysis for comparing text editors

Problem. As of today, there is no methodology for comparing text editors designed to work with text files interactively. To compare different text editors with each other it is proposed to use the method of hierarchy analysis. The latest, by means of simple and well-founded rules, provides for solving multicriteria problems, which contain qualitative and quantitative factors of different dimensionality. The aim of the work is to develop a procedure for comparing different text editors using the method of hierarchy analysis. Methodology. We compared 5 text editors that are commonly used for website development – Komodo Edit, Bluefish Editor, Emacs, Brackets, Visual Studio Code. For comparison 10 functionalities were chosen: programming language support, highlighting – selection of syntactical text constructions with different colors, fonts and underlines; spell checking; possibility of remote work with files, macros – actions or set of actions that can be executed many times; possibility of extension – program component that adds certain function to existing computer program; availability of console window for work in text editor. For each of the criteria, the editors were rated from 1 to 5 points. The results of the comparison were listed in a table. For calculations and structuring the information, the table was converted into a matrix. The priority of each individual object in the hierarchy is determined by the evaluation of the corresponding normalized eigenvector of this matrix. All elements of each row are summed up and normalized by dividing each sum by the sum of all products of matrix row elements. The first element of the resulting vector will be the priority of the first object, the second of the second, etc. After that, the total sum of all products of each row of the probability matrix is calculated. Results. Visual Studio Code showed the best score after calculations. Brackets had the second-best result, which can be productively used for many tasks. The MAI approach has been further developed by applying it to the comparison of text editors, allowing an effective decision to make their choice. The recommended comparison procedure can be automated, the number of compared objects and comparison criteria is significantly increased. Originality. A method of comparing different software editors by hierarchy analysis has been developed. Practical value. The proposed methodology can be automated and applied to compare different applications, and the number of objects and their comparison criteria can be significantly increased.
A PROPOSAL FOR ISOTHERMAL MODEL SELECTION, A HEURISTIC APPROACH

There are many mathematical models for sorption isotherms, with some practically application in the food chemistry. In this case, an isotherm describes a relationship (linear or nonlinear) between moisture content and water activity in a certain type of food. The hysteresis for a typical food product is taken into account with educational objective: a better understanding of the sorption process. Depending of the food chemical composition, the relationship between water activity and water content can be simple of very complex, a large number of models having been proposed to cover a large variety of curves. There is no a clearly classification of types of isotherms but using the literature a structure based of four classes of models is proposed to user for selection: absorption empirical models, models based on Polanyi's theory, chemical adsorption isotherms and physical adsorption isotherms. The relationship between water activity and food moisture content is complex, depending on the food chemical composition; there is a particularly class of isotherms. A good choice is a difficult task and furthermore, some of the parameters could be inadequate for some experimental data related to some type of food based only on the analysis of shape. The user will have the opportunity to do the agreement among possible solution for the problem given by a set of models according to physical meaning of the process. The finding of the most fitting parameters of the model, no matter of the method depends on the initial condition from where starts the search algorithm. A combination of statistical methods, linearization and heuristics are used to find the most suitable initial solution in order to have a convergence of to optimal parameters that fit best the experimental data. In order to increase the generality, the didactical tool includes the most known models of sorption that is, the processes of adsorption, desorption and absorption in general.
USING ROOT CAUSE ANALYSIS IN ACHIEVING ELEARNING IMPROVEMENT. BEST PRACTICES AND LESSONS LEARNED DURING COVID-19 PANDEMIC

: Being faced with the lockdown policies, as a result of the COVID-19 pandemic, has forced the impelled acceleration of the process of digitization and the adoption of immediate solutions by educational institutions and their leadership. The need for sudden, unplanned and unprepared changes revealed serious problems related to the phenomenon of digitalization of education. This paper is based on qualitative research, which allowed describing in detail the many aspects related to the quality of the eLearning process in terms of the main stakeholders directly and indirectly involved. Root cause analysis, addressed by the authors in this paper, as part of a larger project that aims to continuously improve online teaching and learning in the "Nicolae B?lcescu" Land Forces Academy in Sibiu, allowed identifying and understanding the causes and sub-causes. In order to visualize them as user-friendly as possible, we used the facilities of the MindManager program. Following the analysis, a more complete picture of what happened in the eLearning process in the context of COVID-19 pandemic was obtained. The information collected through the qualitative research, based on the tools highlighted in the paper, allowed identifying best practices and lessons learned, which would later be shared internally - within the Academy - and externally - with partners. The paper ends with a series of solutions that can contribute to the continuous improvement of eLearning. The paper ends with a series of solutions that can contribute to the continuous improvement of eLearning. The paper ends with a series of solutions that can contribute to the continuous improvement of eLearning.
DESIGN AND IMPLEMENTATION OF AN ONLINE VERTICAL PATH FOR PRIMARY SCHOOL IN THE CONTEXT OF "SPACE AND SHAPES"

Nowadays, the students are digital natives and they live immersed in technology, but their use is mostly superficial; therefore it is important to educate them to use the technological tools that they have available for educational purposes already since the primary school, both at school and in extra-curricular contexts. Moreover, the digital competence has been included by the European Union among the eight key competences for lifelong learning. This demonstrates that educational institutions should play a fundamental role in this field since the early school years. In this paper, we present the design and the implementation of a vertical path for all five years of primary school within a Digital Learning Environment in the context of Space and Shapes. The goal of the path is to promote the skills development in the Space and Shapes area in a vertical perspective through the methodologies of problem solving and automatic formative assessment. The path was implemented on a Digital Learning Environment, integrated with an Advanced Computing Environment and an Automatic Assessment System suitable for STEM. The path consists in five sections from grade 1 to 5; they are dedicated respectively to plane shapes, solid shapes, perimeter, area, and volume. Each section includes a contextualized problem and one or more questions for the formative assessment have been designed. For the planning of the vertical path, reference was made especially to the Italian National Indications and the "INVALSI" (the Italian institute which annually administers standardized learning tests to evaluate the school system) test archive was consulted. Initially, this paper shows the theoretical framework to which reference was made during the design of the vertical path. In particular, we present the theory of the development of geometric thought conceived by Dina and Pierre Van Hiele between 1957 and 1986 and the methodologies of problem solving and automatic formative assessment. Then, the design of the path in a vertical perspective is presented, and the resource used during the design phase are shown. Finally, the implementation of a section of the path is shown as a representative example and the expected results of a possible experimentation, are discussed.