Reviewerly/exHarmony huggingface dataset:
SIPFA: Statistical Ineffective Persistent Faults Analysis on Feistel Ciphers

Persistent Fault Analysis (PFA) is an innovative and powerful analysis technique in which fault persists throughout the execution. The prior prominent results on PFA were on SPN block ciphers, and the security of Feistel ciphers against this attack has received less attention. In this paper, we introduce a framework to utilize Statistical Ineffective Fault Analysis (SIFA) in the persistent fault setting by proposing Statistical Ineffective Persistent Faults Analysis (SIPFA) that can be efficiently applied to Feistel ciphers in a variety of scenarios. To demonstrate the effectiveness of our technique, we apply SIFPA on three widely used Feistel schemes, DES, 3DES, and Camellia. Our analysis reveals that the secret key of these block ciphers can be extracted with a complexity of at most 250 utilizing a single unknown fault. Furthermore, we demonstrate that the secret can be recovered in a fraction of a second by increasing the adversary’s control over the injected faults. To evaluate SIPFA in a variety of scenarios, we conducted both simulations and real experiments utilizing electromagnetic fault injection on DES and 3DES.
A comparison of neural-based visual recognisers for speech activity detection

Existing literature on speech activity detection (SAD) highlights different approaches within neural networks but does not provide a comprehensive comparison to these methods. This is important because such neural approaches often require hardware-intensive resources. In this article, we provide a comparative analysis of three different approaches: classification with still images (CNN model), classification based on previous images (CRNN model), and classification of sequences of images (Seq2Seq model). Our experimental results using the Vid-TIMIT dataset show that the CNN model can achieve an accuracy of 97% whereas the CRNN and Seq2Seq models increase the classification to 99%. Further experiments show that the CRNN model is almost as accurate as the Seq2Seq model (99.1% vs. 99.6% of classification accuracy, respectively) but 57% faster to train (326 vs. 761 secs. per epoch).
Comments to paper Stauning, P. (2022) The use of invalid Polar Cap South (PCS) indices in publications. Journal of Geophysical Research: Space Physics, 127, e2022JA030355

Declaration (Stauning, 2022) on "invalid PCS index" is based on the following arguments: PCS index is calculated with use of incorrect "unified" PC derivation method; PCS index used in analyses is a preliminary index, which was not approved by IAGA and, therefore, it cannot be regarded as a correct index; PCN and PCS indices demonstrate, intermittently, large difference in value, which should be treated as evidence of the PCS index invalidity.The paper presents comments to these arguments.Conclusion is made that criticism of the PCS index, presented in Stauning (2022), is based on groundless arguments.
A novel synchronization between two different chaotic systems (Convert Lorenz chaotic system to Chua chaotic system)

Abstract In this work, a new synchronization was achieved between two different chaotic systems in behavior (Chua-Lorenz) by coupling them together with a coupling factor ( k ) and it was noted that Lorenz's behavior completely transformed Chua's behavior by changing the value of this factor. It is observed that when the values of the coupling factor are zero, the two systems are asynchronous, and when its value is 100, there is partial synchronization, while its value is 100000, so we get perfect synchronization. Where it is possible to use this synchronization in the field of secure communications.
Hybrid Image Compression technique using Deep Learning model for enhanced reliability and data transmission

Abstract Image compression is the way of data compression which could be applicable to digital form of images for the purpose of reducing the cost of storage or transmission and any algorithm would consider visual perception or statistical properties of an image to establish enhanced results. The compression techniques might be lossy or lossless type. The supreme image quality at a particular compression rate is the major aim of any image compression approach. In this current research, image compression is carried out with the support of hybrid Convolution Neural Network (CNN) and Random Forest (RF) approach. The proposed methodology is executed in python environment and the performance metrics is evaluated and outcomes attained are compared with existing research works to verify the effectiveness of suggested concept.
A Nascent Technique for Cultivated Feature Selection using Evolutionary Computation Algorithms

Evolutionary computation algorithms are in recent trends for feature selection due to their efficient results as compared to traditional algorithms. The performance of the evolutionary computational algorithm completely depends upon the parameter (like population, number of generations) setting. Existing parameter setting techniques have been developed for specific algorithms. This paper designs a generic pre-processing technique that removes the redundant as well as irrelevant features from the initial given feature set. This work uses Kendall tau to find the non-redundant feature and the Kruskal Wallis for the relevant features. If Kendall tau is not able to select any non-redundant feature then mutual information gain is used to select significant features followed by the Kruskal Wallis to select relevant features. The designed technique has been analyzed on 4 evolutionary computation algorithms, Modified Binary Particle Swarm Optimization, Non-dominated Sorting Genetic Algorithm, Binary Grey Wolf Optimization, and Binary Whale Optimization Algorithm over 6 datasets by using accuracy, the number of features in selected subset, sensitivity, and specificity. The present technique improves the performance of each algorithm in terms of accuracy, sensitivity, and specificity by 1 % on average with a 10 % reduction in the selected feature subset proves the significance of the proposed technique.&#x0D; HIGHLIGHTS&#x0D; &#x0D; This work removes the redundant features from the initial population using Kendall’s tau and mutual information gain to reduce the initial population for any Evolutionary Computation (EC) algorithm&#x0D; The relevant features that are highly correlated with class are added back to the initial population to maintain the optimal initial population&#x0D; The performance validation has been done using four EC algorithms to show the significance of the work&#x0D; &#x0D; GRAPHICAL ABSTRACT
Information Technology Analysis Using COBIT 5 Domain DSS in Sub. Bagian Infrastruktur Pertanahan ATR/BPN Kota Bengkulu

ATR/BPN Kota Bengkulu uses information technology to manage land records, draw plots of land, and to document activities carried out in each area for reporting. In the use of IT, it has not implemented Best Practice and has never been evaluated so that it does not yet know the level of maturity. The purpose of this study is to provide recommendations to the ATR/BPN Kota Bengkulu to report to the center. The framework used in IT analysis is COBIT 5 with a focus on Domain DSS (Delivery, Service and Support). The result of this research is to map the strategic plan of ATR/BPN Kota Bengkulu with IT-Related Goals COBIT 5 with BSC (Balanced Score Card) dimension which gets the domains DSS01, DSS02, DSS03, DSS04, DSS05, and DSS06. And the results of each DSS domain used are DSS01 Manage Operations with a value of 3.75, DSS02 Manage Service Requests and Incidents with a value of 3.63, DSS03 Manage Problems with a value of 3.5, DSS04 Manage Continuity with a value of 3.70, DSS05 Manage Security Services with a value of 3.64 and DSS06 Manage Business Process Control with a value of 3.92. With these results the DSS domain gets a value 3. So that the rounding is done including into Level 4 Predictable Process and recommendations are given to achieve the next criteria, namely Level 5 Optimizing Process.
Analysis Risk Management Application e-Raport Using COBIT 4.1

The role of information technology in increasing the use of e-Raport is to make it easier for schools to input student data. The e-Raport application is very important because it is a system to make it easier for teachers, staff, students, parents, and the Ministry of Education and Culture to find out the results of student learning analysis at SMK N 1 Balige as a means of communication between schools, students and parents of students. The problem with e-Report at SMK N 1 Balige is that there is an error when using the application to input data. The purpose of this study was to analyze risk management in the e-Raport application at SMK N 1 Balige. This research method uses quantitative methods. In measuring IT risk management, the author uses the Control Objective for Information and Related Technology (COBIT) 4.1 domain Plan and Organize (PO) framework, especially PO9 (Assessment and Manage IT risk). The result of this research is the value of the maturity level of the risk management application of e-Raport at SMK N 1 Balige is 2.6088. The maturity level of the e-Report of SMK N 1 Balige is Defined. Recommendations from this study are the need for a special person to control the e-Raport application at SMK N 1 Balige and training in the use of the e-Raport application.
STIMULUS KEAKTIFAN SISWA MELALUI PENERAPAN MEDIA INTERAKTIF PADA PEMBELAJARAN MATEMATIKA SECARA DARING [STIMULATING THE ACTIVENESS OF STUDENTS THROUGH THE IMPLEMENTATION OF INTERACTIVE MEDIA IN ONLINE MATHEMATICS LEARNING]

&lt;p&gt;The activeness of students is important and fundamental to support the effectiveness of online mathematics learning. However, the reality shows that students often lack courage and enthusiastism in asking and answering questions, conveying understanding, and being less involved in doing assignments. Some of these indicate that students are less active in learning mathematics online. One of the efforts that teachers can make is through the application of various interactive media. Therefore, this paper aims to review and examine the implementation of various interactive media as an effort to stimulate the activeness of the students in online mathematics learning. Using descriptive qualitative research methods, it is evident that the implementation of various interactive media can enourage students to be active in online mathematics learning. The implementation of various interactive media make students pay attention, so they can be encouraged to be actively involved in the learning process. Thus, students can be led to maximaze themselves in every opportunity to glorify God, including in the mathematics learning process. In the application of interactive media, teachers are advised to record every development of student responses for the improvement and development of interactive media.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;BAHASA INDONESIA ABSTRACT: &lt;/strong&gt;Keaktifan siswa menjadi hal penting dan mendasar yang dapat menunjang keefektifan pembelajaran matematika secara daring. Namun, kenyataan menunjukkan bahwa siswa sering kurang berani dan antusias dalam bertanya, menjawab, menyampaikan pemahaman, serta kurang terlibat dalam mengerjakan tugas. Beberapa hal tersebut menunjukkan bahwa siswa kurang aktif dalam pembelajaran matematika secara daring. Salah satu upaya yang dapat dilakukan guru dalam mendorong keaktifan siswa adalah melalui penerapan media interaktif yang bervariasi. Olehnya tulisan ini bertujuan meninjau dan mengkaji penerapan media interaktif sebagai upaya yang dapat menstimulus keaktifan siswa pada pembelajaran matematika secara daring. Melalui metode kualitatif deskriptif, diketahui bahwa penerapan media interaktif yang bervariasi dapat mendorong siswa menjadi aktif dalam pembelajaran matematika secara daring. Media interaktif yang bervariasi menarik perhatian siswa sehingga mendorong siswa terlibat aktif dalam pembelajaran. Dengan demikian, siswa dapat dituntun untuk memaksimalkan diri dalam setiap kesempatan untuk memuliakan Allah, termasuk dalam pembelajaran matematika. Dalam penerapan media interaktif, guru disarankan mencatat setiap perkembangan respon siswa guna perbaikan dan pengembangan media interaktif.&lt;/p&gt;
Intelligent Tutoring Systems Authoring Tools For Nonprogrammer Authors: A Systematic Review

Many studies have been shown that Intelligent Tutoring Systems (ITSs) contribute to a remarkable improvement in the educational outcomes of students. Several authoring tools have been developed to contribute to making ITSs easier to build and widespread. However, there is still a lacks of current understanding in the ITSs community on how authoring tools could support nonprogrammer authors to build ITSs. This study uses a systematic literature review (SLR) method to identify primary empirical studies for nonprogrammers regarding the usage of ITSs authoring tools. The concern of this study is summarizing and analyzing the state of the art of the development of authoring tools. This study identifies the ITSs components and types that can be authored, the technologies used, and also search for proof of the advantages of ITSs authoring tools as well.
Risk Management Analysis Website E-klim at Civil Service Savings and Insurance Using COBIT 4.1

Use of Information Technology Governance (ITG). In increasing the speed and accuracy of IT services in the company, as well as increasing the occurrence of risk. With the company's level of dependence on IT services to carry out company operations, a maturity level is needed for the possibilities that occur, aiming to prevent and reduce risks to company assets. This research is based on risk management analysis on the E-klim website which is a system asset at PT TASPEN, so it uses the Control Objective for Information and Relate Technology (COBIT) framework version 4.1. This study applies a quantitative method by distributing questionnaires to obtain good validity and reliability test results. The results of this study indicate the maturity level at level 3, which means define process. The implementation process in the company has been organized and organized in its operational system. However, it is necessary to improve participant administration data and update the system for employees.
Meta Reinforcement Learning Based Computation Offloading Strategy for Vehicular Networks

Abstract Deep learning (DL) and reinforcement learning (RL) based methods can efficiently generate offloading strategies for computational offloading problems in mobile edge computing (MEC) environments. However, the rapid movement of vehicles in the vehicular network causes dynamic changes in the network environment, and DL or RL methods require additional training samples and multiple gradient updates before the model converges, which is time-consuming. In this letter, we propose a meta reinforcement learning-based computation task offloading and resource allocation (MRLOA) algorithm for vehicular networks. Specifically, the MRLOA can converge quickly for a new task with a small number of experience and gradient updates based on a pre-trained meta policy. Simulation results show that our proposed algorithm can more quickly adapt to new computational offloading tasks in the vehicular network environment compared to traditional baseline algorithms.
PEDAGOGICAL ALGORITHM OF EFFECTIVE USE OF BUSINESS GAMES IN PROFESSIONAL TRAINING OF MANAGERS IN HIGHER EDUCATION INSTITUTIONS

163 5. Pedagogical algorithm of effective use of business games in professional training of managers in higher education institutions 5.1 Modernization of the content of training of future managers in higher education institutions, taking into account the current needs of professional training of modern professionals using gaming technologies Analysis of the work of the country's leading free economic zones, as well as centers for training anti-crisis leaders shows the accumulation of some experience in training in the field of professional skills.The main method of this type of training is active learning methods, including business games.There is a certain concept in the scientific literature about the business game as a way to resolve conflicts that arise in people's professional activities.The method is based on a combination of administrative (primarily technological), social (building interpersonal and organizational communications) and intellectual (using variable thinking) factors.Depending on the tasks of the business game (improving the functioning, entering the market, gaining market share, etc.), special attention is paid to certain sections of professional disciplines.For example, business planning of a firm's entry into a new market within the framework of general management provides in-depth knowledge of such sections as decision-making, organizational communications, organizational design, business information support [255].The organization of an active effort in the field of activity, on which we focused the student, -says Professor V.A. Petruk, -is an important condition for increasing the level of his professional orientation.The implementation of this condition allows such an organization of activities in the learning process, which puts before students tasks that reveal the specifics of the activity, its creative side [256, p. 420].
THE AGE OF GOLD MINERALIZATION IN THE KETKAP-YUNA IGNEOUS PROVINCE, FORMATIONAL TYPES OF GOLD-BEARING COMPLEXES, AND TIME DIFFERENCES IN THE OCCURRENCE OF LATE MESOZOIC MAGMATISM IN DIFFERENT PARTS OF THE ALDAN SHIELD

The first 40Ar/39Ar isotopic age data for hydrothermal vein gold mineralization in the late Mesozoic Ketkap-Yuna igneous province of the Aldan shield confirm the correlation between this style of mineralization and the Early Cretaceous sub-alkali magmatism, which was established by geological observations. The combination of geological characteristics and U-Pb data on magmatites enabled us to indirectly determine the age of the highly productive bimetasomatic «massif-skarn» type of mineralization associated with sub-alkali magmatogenic formations of the province. The isotopic dating of magmatites and gold mineralization in the Ketkap-Yuna igneous province and other late Mesozoic igneous provinces of the Aldan shield shows consistency in the ages of ore-bearing magmatites and associated ores. The delay in time of the Late Mesozoic magmatism manifestations in the Ketkap-Yuna igneous province and the associated gold mineralization relative to the intensification of tectonomagmatic processes in the Western and Central Aldan, as well as differences in the correlations of different types of igneous formations in the provinces, are explained by the characteristics of the regional tectonic structure and, as a consequence, the specific nature of the Late Mesozoic magmatism development in different parts of the Aldan shield. Two large areas of the late Mesozoic intensification of tectonomagmatic processes are identified in the Aldan shield that differ both in the time of the onset of polyformational magmatism and the accompanying different-type mineralization, and in the dominant formational type of magmatites: West-Central Aldan, on the one hand, and East Aldan, on the other. The former is characterized by continuous magmatic activity from the Berriasian to the early Albian (≈ 30 Ma) and predominance of the leucitite–alkali-(foid)-syenite formation, and the latter by manifestations of magmatism over a timeframe half of the above period (≈ 15 Ma) and predominance of the subalkaline diorite-granodiorite-granite formation. The termination of the late Mesozoic magmatism in both areas was subsynchronous. A «set» of magmatogenic formations in them is also similar: leucite-alkaline-(foid)-syenite with alkali granites, monzonite (shonkinite)-syenite and subalkaline diorite-granodiorite-granite. The Coniacian–Santonian outbreak of alkali volcano-plutonism during the intensification of tectonomagmatic processes is characteristic of the East Aldan region, which manifested itself in the Ketkap-Yuna igneous province after a long (about 30 Ma) period of amagmatism.
Performance Evaluation of Genetic Algorithm Selection Methods in Outlier Detection: Further Analysis

Feature selection is very crucial in the activities of soft computing algorithms for quality, precision and accuracy. This paper evaluates the performance of some feature selection methods of Genetic Algorithm in outlier detection on fingerprint images. Roulette wheel, Rank and Tournament methods were considered for feature selection and selected features were enhanced using histogram equalization. K-nearest neighbor algorithm was employed for classification to detect outliers. The implementation of the experiment was carried out in Matrix laboratory environment. Performance of the selection methods were evaluated based on metrics of accuracy, specificity, precision and computation time.
AVUIs

Audio-visual performers create holistic total artworks linking sound and image, in part to address the perceived lack of visual feedback in electronic music performances. We suggest that Audio-Visual User Interfaces (AVUIs), extending graphical user interfaces by adding interrelated sound and image, can be an important element to create these works, while also conveying additional feedback to audiences. We present AVUI and situate it among two other types of interfaces connecting sound and image in audio-visual performances: visualised live coding and augmented tangible user interfaces. We review each of these types of interfaces and identify the qualities required for a legible and expressive AV system. We then present the Enabling AVUIs project, which sought to facilitate the design and devolvement of audio-visual interfaces. The project deployed a user-centric design process, engaging with a community of performers. We present the project outcomes and propose guidelines and a toolkit for AVUI development. We assess strengths and weaknesses of AVUI compared to other interface approaches and discuss best practices in AVUI design for audience understanding. This analysis allows us to map the territory of interfaces for audio-visual performance and to adapt the user-centred design model for toolkit design.
Genius Loci

Norberg-Shultz formulated the concept of Genius Loci around 1980 as an existential and phe nomenological contribution to the field of Theory of Architecture.Since then, many considerations have been added.In this text, we have developed an almost literal approach to the subject, suggesting the anthropo morphizing of a place as a prerequisite to acting architecturally upon it.Notwithstanding the awkwardness, this procedure provides several advantages in understanding a place or pre-existing architecture and designing something fitting for them.This procedure is reasonable because it embodies customary actions of the brainwhich we examine thoroughly with the most current knowledge in Social Psychology and Neurosciences.Some examples have been given.
Development of digital etiquette skills in students of pedagogical universities

The article is about developing digital etiquette (“netiquette”) skills while training future teachers. The issue of studying ethical rules in network interaction between participants in the educational space is not studied well so far. Even fewer works are devoted to developing digital etiquette skills in students of pedagogical universities and colleges. Since every case when a teacher posts inappropriate content (as a part of the society may believe) on social media gains high publicity teachers need to be taught how to build their digital reputation. Netiquette codes are even more significant during the COVID 19 pandemic with a sharp rise in online learning. The article provides practical tips for managing one’s social media accounts, for using digital storage devices, for netiquette in the “teacherstudent” interaction, and for delivering video classes. The proposed rules of netiquette may be useful in training future teachers (of any school subject) and in work of university and school teachers.