Reviewerly/exHarmony huggingface dataset:
Attack Tree Refinements Analysis and Verification by applying Coloured Petri Nets

Recently, Graphical Security Models (GrSMs) became widely used for security analysis. The basic formalism called Attack Tree (AT) has been augmented with new attributes covering defence, response, and countermeasure aspects to support security modelling and analysis in vulnerable systems. Although the models have strength in visualising and analysing small attack-defence scenarios, these suffer from lack of scalability when increasing nodes and adaptability with other refinement models to show the dynamic nature and state of systems in interest. In this work, Coloured Petri net (CPN) is used to fulfil the mentioned shortcomings in GrSMs (specifically Tree-based models). It is applied for evaluating each component´s interactions, the impact of threats as well as defence systems to mitigate those threats. For that end and pointing out the CPN adaptability with GrSMs, a set of mapping rules are proposed allowing translation of ATs extension into CPN and their analysis. The quantitative analysis aspect is addressed in this work by introducing computing transition. We validate our proposed approach by applying it in an example of SCADA systems cyber-security analysis.
Evolving Fuzzy and Tensor Product-based Models for Tower Crane Systems

This paper derives several nonlinear models of a family of nonlinear tower crane systems. First, the state-space model is improved using six parameters, which are optimally tuned using a metaheuristic Grey Wolf Optimizer algorithm. Second, fuzzy models are obtained separately for the three system outputs using an incremental online identification algorithm that develops evolving Takagi-Sugeno-Kang fuzzy models. Third, the derivation of a Tensor Product (TP)-based model is conducted. The behaviors of the tower crane systems, the evolving fuzzy models, the TP-based model and the first principles model are tested in a different scenario to the parameter identification one, and the outputs are measured. The experimental results on tower crane laboratory equipment and the comparison show the good performance of the nonlinear models derived for this challenging process and their potential for model-based control.
Sparkol Videoscribe: Interesting Learning Video Media for Thematic Learning of Kalijaga Permai Elementary School Teachers

Sparkol Videoscribe is a software for creating exciting learning videos by inserting images and sound, as one of the media uses technology. The lack of teacher knowledge in making technology-based learning media requires solutions, especially online learning modes that require teacher creativity in delivering subject matter. For this reason, the implementation of a workshop in the form of training and mentoring in the use of Sparkol Videoscribe software to make thematic learning videos. The activity results showed that the teachers enthusiastically accepted all the activities so that they could produce various thematic learning videos. The learning videos are made by themselves according to the creativity of the teachers. The quality and quantity of learning videos made from the training and mentoring activities are very encouraging. The teachers' enthusiasm for learning from the results of the post-activity evaluation shows indicators of success and a positive response from the training participants of 97.86%.
ANALISA PENGGUNAAN APLIKASI PENDUKUNG PEMBELAJARAN DARING DI PAUD PADA MASA PANDEMI COVID-19

This research is based on a change in teaching patterns from face-to-face to online caused by the Covid-19 pandemic. This study uses a quantitative approach with a descriptive method which aims to determine the perception of PAUD teachers regarding the applications used during online learning during the Covid-19 pandemic. The subjects of this study were PAUD teachers totaling 126 respondents in the city of Surabaya. This research is quantitative research using quantitative descriptive data analysis techniques. The data collection technique in this study used a survey method in the form of a questionnaire in the form of a Google Form. From the data of this study, it was found that most PAUD teachers in Surabaya more often use the WhatsApp application to carry out online learning. When using the application, teachers often experience major problems related to the network. Even so, most PAUD teachers in Surabaya agree that the benefits of using the application are that the application is very effective and efficient to use in carrying out teaching and learning activities during the pandemic.
Effect of Scatter Search Algorithm Approach on Transmission Delay Constrained Tree Computer Network

A tree network topology is a tree structure in which all the computers are connected like the branches of a tree.This topology is frequently used to organize the computers in a corporate network.This research considers a topological optimization of a tree network design with spanning tree, mean packet delay, and traffic capacity of sub tree constraints.The objective is to find the layout of node links at minimal installation cost.In this research, a scatter search algorithm approach is suggested to efficiently solve the tree network problem.Experimental examples are used to explain and test the proposed approach.The performance evaluation results showed evidence that the proposed approach performs much better than a tabu search algorithm.
The Impact of Whatsapp on the Writing Skills of Engineering Students

The aim of this paper is to identify negative effects of Whatsapp on engineering students writing skills. Research Question of the study is how does using chat WhatsApp impact on the writing skills of engineering students? Objective of the study is to find out the impact of whatsapp on the writing skills of engineering students. The sociocultural theory of human learning's conceptual framework can serve as the main hypothetical foundation for this study. The study of sociocultural theory has a significant impact on the teaching and learning professions. The English phrase "What's up?" which means "What's new?" is where the name "WhatsApp" gets its meaning. With the help of an Internet connection, users of the instant messaging service WhatsApp can send and receive written, audio, video, and image messages. Because of its low cost, WhatsApp is a wonderful alternative to SMS, which can be quite expensive when used outside of one's nation due to roaming fees. Additionally, whatsApp instant messaging encourages online collaboration blended mobile learning is made possible.
LoRa-Based Smart Waste Bins Placement using Clustering Method in Rural Areas of Indonesia

Abstract ATP Tennis stands for the “The Association of Tennis Professionals” which is the primary governing body for male tennis players. ATP was formed in Sep 1972 for professional tennis players. A study has been done on tennis players’ datasets to implement supervised machine learning techniques to illustrate match data and make predictions. An appropriate dataset has been chosen, data cleaning has been implemented to extract anomalies, data is visualized via plotting methods in R language and supervised machine learning models applied. The main models applied are linear regression and decision tree. Results and predictions have been extracted from the applied models. In the linear regression model, the correlation is calculated to find the relation between dependent and independent variables, furthermore the results and prediction are extracted from the linear regression model. Also, three hypotheses are applied for multiple linear regression model. The decision tree modeled the best of 3 or best of 5 sets of matches and predicted which set of matches would be considered best. Keywords: Machine Learning, supervised learning, linear regression, decision tree, R language, Tennis, ATP.
MCRank: Monte Carlo Key Rank Estimation for Side-Channel Security Evaluations

Key rank estimation provides a measure of the effort that the attacker has to spend bruteforcing the key of a cryptographic algorithm, after having gained some information from a side channel attack. We present MCRank, a novel method for key rank estimation based on Monte Carlo sampling. MCRank provides an unbiased estimate of the rank and a confidence interval. Its bounds rapidly become tight for increasing sample size, with a corresponding linear increase of the execution time. When applied to evaluate an AES-128 implementation, MCRank can be orders of magnitude faster than the state-of-the-art histogram-based enumeration method for comparable bound tightness. It also scales better than previous work for large keys, up to 2048 bytes. Besides its conceptual simplicity and efficiency, MCRank can assess for the first time the security of large keys even if the probability distributions given the side channel leakage are not independent between subkeys, which occurs, for example, when evaluating the leakage security of an AES-256 implementation.
A SURVEY ON AGE PREDICTION USING SKIN ATTRIBUTES

Age prediction has gained attention due to its various number of real world applications.Aging process can be usually seen from our skin texture such as it can be oily or dry.Aging can also be indicated from the facial structure such as it can be oval, round or geometric and also based on the skin color such as fair ,medium and dark .Aging progression happens with respect to the facial features.In this system we are using mobileNet to predict the age using the skin(face).It is a network model using depthwise separable convolution as its basic unit.It is a pre-trained model used for classification in which pretrained models are deep neural networks and they are trained using a large image dataset.We have proposed a Mobile Net based neural network model for age estimation in the images.The proposed approach is that we leverage the rich information contained in the DCNN model pre-trained using a large-scale face dataset for age estimation.Also, the proposed error correction module mitigates the influences of the errors made at the initial classification stage.
Interferometry by a transparent wedge

In this article we show that a single transparent wedge or a plate with a wedge part can be used as a very simple and useful interferometer with numerous applications. This interferometer permits to modulate phase distribution on interference fringes to evaluate quantitatively the parallelism of a light beam and aberration of a wavefront, to specify the spectral line shape in a wide range, to measure the light wavelength and refractive indices of solids and liquids. In addition, it provides suitable beams for holographic study of phase objects and fabrication of diffraction gratings.
Detecting Quantum Critical Points of Correlated Systems by Quantum Convolutional Neural Network Using Data from Variational Quantum Eigensolver

Machine learning has been applied to a wide variety of models, from classical statistical mechanics to quantum strongly correlated systems, for classifying phase transitions. The recently proposed quantum convolutional neural network (QCNN) provides a new framework for using quantum circuits instead of classical neural networks as the backbone of classification methods. We present the results from training the QCNN by the wavefunctions of the variational quantum eigensolver for the one-dimensional transverse field Ising model (TFIM). We demonstrate that the QCNN identifies wavefunctions corresponding to the paramagnetic and ferromagnetic phases of the TFIM with reasonable accuracy. The QCNN can be trained to predict the corresponding ‘phase’ of wavefunctions around the putative quantum critical point even though it is trained by wavefunctions far away. The paper provides a basis for exploiting the QCNN to identify the quantum critical point.
A Novel e-Cash Payment System with Divisibility Based on Proxy Blind Signature in Web of Things

The prosperous Internet communication technologies have led to e-commerce in mobile computing and made Web of Things become popular. Electronic payment is the most important part of e-commerce, so many electronic payment schemes have been proposed. However, most of proposed schemes cannot give change. Based on proxy blind signatures, an e-cash payment system is proposed in this paper to solve this problem. This system can not only provide change divisibility through Web of Things, but also provide anonymity, verifiability, unforgeability and double-spending owner track.
Implementasi E-learning di Sekolah Menengah Kejuruan : Studi Kasus SMK Swasta PAB 12 Saentis

The SMK Center of Excellence program provides a way to be able to liberate the potential of teachers, principals, and students, as well as create a global standard diversity ecosystem. to see the impact of E-learning in schools on this research is limited to SMK Swasta PAB 12 Saintis, Deli Serdang North Sumatra. SMK Swasta PAB 12 Saentis is one of the 9 public and private vocational schools in North Sumatra developed by the Ministry of Education and Culture of the Republic of Indonesia through the Director General of Vocational Education to become a Center of Excellence in the Field of Hospitality in 2020. The approach used in the research is a qualitative approach, because researchers want to explore the development, application, and impact of using E-learning in Private Vocational Schools 12 PAB Saentis Qualitative research using qualitative methods, namely observation, interviews, or document review. student responses to E-learning that have been developed are obtained that elearning includes effective, productive, safe learning, and all students are satisfied with the use of e-learning in learning. The learning outcomes obtained by students before and after the use of e-learning have improved very well. The response from the interview results to all students was very positive towards the use of e-learning in the learning process
The Effectiveness Interpersonal Communication Increasing Success of Pokdarwis Arumsari

Organizing that involves the community is one of the factors that can determine the success of implementing tourism village activities. One of the tourism village managers whose organization involves the community is the Arumsari Tourism Awareness Group (Pokdarwis) in the Pandansari Tourism Village. To achieve the success of Pokdarwis Arumsari, it is necessary to have effective interpersonal communication between members, so, this study aims to analyze the effectiveness of interpersonal communication and its influence on the success of Pokdarwis Arumsari. The research location was conducted in Pandansari Village, Batang Regency, Central Java. The research method uses the case study method on all members of Pokdarwis Arumsari totaling 37 people as the respondents. Data collection techniques are closed interviews, observation, and literacy studies. Then analyzed by using Partial Least Square (PLS). The effectiveness of interpersonal communication and the success of Pokdarwis Arumsari are included in the high category with a percentage score of 81.2% and 79.2%, respectively. The value of the path coefficient is 0.859, the direction of the relationship between the effectiveness of interpersonal communication on the success of Pokdarwis Arumsari is positive, there is an effort to increase the effectiveness of interpersonal communication within the group, the success of Pokdarwis will increase. The results of the analysis show that the effectiveness of interpersonal communication can explain 73.9% of the success of Pokdarwis Arumsari. Pokdarwis Arumsari has a good and positive effect on interpersonal communication effectiveness so that success is realized in achieving the goals of Pokdarwis Arumsari.
APLIKASI PRESENSI DAN PENGGAJIAN BERBASIS WEB (STUDI KASUS: CV. KARYA KOBA JAYA)

Because many jobs exist, companies use information technology to help with office work. Employee attendance is related to the performance and discipline of employees in the company and is important for the company. CV. Karya Koba Jaya is a company engaged in the construction of buildings, bridges, roads, and irrigation. Problems that exist in the company are long attendance processes due to long lines, leave applications that must meet HRD directly and there is no record of leave information and slow payroll processes because they must be adjusted to attendance data and the long attendance data recapitulation process so that it hampers payroll process. This attendance application, leave application, and payroll can solve employee problems in absenteeism, leave application, and payroll. This web-based application for leave and payroll attendance requires PHP language and the waterfall model SDLC method with stages such as needs analysis, system design, implementation, testing, and maintenance to make a system as expected. The results of this study indicate that the attendance application for submitting leave and payroll based on this website can help employees in attendance, apply for leave, and payroll and can help the attendance recapitulation process can be fast so that the payroll process is not hampered. And the test results from the application that show attendance applications, leave applications, and website-based payroll are all functioning well without any problems or errors in the application so that it can be implemented in the organization. The conclusion of this study is that this website-based application for absenteeism and payroll applications can help overcome problems that exist in the company.
A Multi-Level Enhanced Color Image Compression Algorithm using SVD &amp; DCT

Nowadays, computer technology is mostly concerned with storage capacity and performance. Compression of digital images has become a fundamental aspect of their transmission and storage. Due to storage and bandwidth constraints, it has become necessary to compress images before to transmission and storage. Not only can image compression techniques help to reduce storage space requirements, but they also aid increase transmission bandwidth. Color images are in trend these days during communication. Most of the researchers have worked only on grayscale images. This research proposes a hybrid approach that encompasses two cutting-edge picture compression algorithms: DCT &amp; SVD. This research involves the advantages and strength of two cutting-edge picture compression algorithms that enable us to compress the color images without additional cost in computation, space and time. Here in this research, for experimental purposes, seam carving image dataset is used. The proposed method's performance is evaluated using the performance evaluation matrices, i.e., Size after Compression, MSE, PSNR, Normalized Co-relation (NC), Percentage Space-Saving, and Compression Ratio. The proposed method performance is also correlated with the two latest image compression techniques, i.e., DCT Block Truncation (DCTBT) and Discrete Cosine Transform - Vector Quantization (DCT-VQ). The findings show that the suggested hybrid color image compression approach is superior to existing compression according to different performance metrics.
Decentralized Blockchain Network for Resisting Side-Channel Attacks in Mobility-Based IoT

The inclusion of mobility-based Internet-of-Things (IoT) devices accelerates the data transmission process, thereby catering to IoT users’ demands; however, securing the data transmission in mobility-based IoT is one complex and challenging concern. The adoption of unified security architecture has been identified to prevent side-channel attacks in the IoT, which has been discussed extensively in developing security solutions. Despite blockchain’s apparent superiority in withstanding a wide range of security threats, a careful examination of the relevant literature reveals that some common pitfalls are associated with these methods. Therefore, the proposed scheme introduces a novel computational security framework wherein a branched and decentralized blockchain network is formulated to facilitate coverage from different variants of side-channel IoT attacks that are yet to be adequately reported. A unique blockchain-based authentication approach is designed to secure communication among mobile IoT devices using multiple stages of security implementation with Smart Agreement and physically unclonable functions. Analytical modeling with lightweight finite field encryption is used to create this framework in Python. The study’s benchmark results show that the proposed scheme offers 4% less processing time, 5% less computational overhead, 1% more throughput, 12% less latency, and 30% less energy consumption compared to existing blockchain methods.
Homologous point transformer for multi-modality prostate image registration

Registration is the process of transforming images so they are aligned in the same coordinate space. In the medical field, image registration is often used to align multi-modal or multi-parametric images of the same organ. A uniquely challenging subset of medical image registration is cross-modality registration—the task of aligning images captured with different scanning methodologies. In this study, we present a transformer-based deep learning pipeline for performing cross-modality, radiology-pathology image registration for human prostate samples. While existing solutions for multi-modality prostate image registration focus on the prediction of transform parameters, our pipeline predicts a set of homologous points on the two image modalities. The homologous point registration pipeline achieves better average control point deviation than the current state-of-the-art automatic registration pipeline. It reaches this accuracy without requiring masked MR images which may enable this approach to achieve similar results in other organ systems and for partial tissue samples.
Getting published in international journals: Perception of Indonesian scholars in linguistics and language education on the issues they face

Publishing research articles (RAs) in international journals (IJs) has been considered increasingly crucial by developing countries including Indonesia. For the Indonesian Government, publishing RAs in international journals is important to increase its competitive power academically as Indonesian universities are entering a global competition to attract students. Therefore, publishing RAs in international journals is becoming more and more important, e.g. for promotion, especially at senior levels. This study reports on the second and most widespread national-level survey of a three-year project funded by the former Indonesian Government through its Ministry of Research and Higher Education (MRHE). The central question is, "What are the key factors contributing to their lack of international research publications making the number low compared to smaller nations such as Thailand (before 2017)".This article reports the results of the second survey, with a much bigger population sample from many more universities located in many more different regions covering all the major islands in Indonesia compared to the first survey reported in our previous article. The bigger size of data is important based on the premise that the broader and the more diverse the information sources, the more comprehensive the information will be and the better understanding we gain. Some of the findings support the past results, but some contradict them.