Reviewerly/exHarmony huggingface dataset:
Industrial Intrusion Detection Classifier Pruning via Hybrid-order Difference of Weights Based on Poisson Distribution

Pruning Techniques can greatly reduce the number of parameters and the computational load related to convolutional neural networks, which makes them suitable for edge industrial control systems with limited resources.However, they face the problem that the detection accuracy will be greatly reduced after pruning.Given the above, this paper proposes filter pruning via a technique called hybrid-order difference, which is based on Poisson distribution.According to this technique, some filters in each convolutional layer are removed, thus the number of parameters of the employed classifiers is highly reduced.The first-order and second-order difference for the L1-norm of filter parameters are calculated, they are given weights and they are converted into activity indices through the Min-Max function.The proposed method can fully explore the relationship between the weights and avoid the problem of threshold selection in pruning.Experiments were carried out on the LeNet-5, VGG16, ResNet18 and ResNet50 convolutional neural networks based on the 2019 Distributed Denial of Service dataset (the DDoS dataset) of the Canadian Institute for Cybersecurity, the 2014 experimental dataset of the Mississippi State University related to a natural gas pipeline (the gas dataset), and the dataset for an oil depot (the oil dataset).The results showed that the proposed method can effectively prune the employed intrusion detection classifiers, such as removing 83.74% of the Floating Point Operations (FLOPs) for VGG16 with only a 0.10% reduction of accuracy.As such, it greatly alleviates the load pressure generated by the above-mentioned classifiers in the context of edge industrial control systems.
High-Precision Volume Measurement of Potholes in Pavement Maintenance

Accurate three-dimensional measurement of potholes is a significant concern in road maintenance. However, the assessment of road potholes still relies heavily on human inspectors to make maintenance suggestions. To realize full-field measurement of pavement pothole automatically, a high-precision volume measurement method based on second-order Taylor expansion is proposed, where the second-order Taylor estimation of each point is converted into a convolution operation. On the one hand, this method discards the second-order fitting of the surface, which greatly reduces the computational complexity. On the contrary, the second-order Taylor estimation is not restricted by the surface shape because it only depends on the distribution of the adjacent points. Experiments on synthesized and real point sets demonstrate that the proposed method outperforms the state-of-the-art methods under various point cloud shapes.
Sarcasm Detection in Online Social Networks Using Machine Learning Methods

Our lives have completely changed since the Internet came into our lives. Role models for people are not only the people around them but people all over the world. Although there are positive aspects of this situation, we will deal with the negative aspects in this study. One of these negative aspects is that people share their ideas on social networks without any supervision. In this way, people who use social networks are told offensive words by people they do not know in real life. Sometimes these words are not directly insulting, but they are expressed sarcastically and annoy the interlocutor. In this study, the detection of sarcastic words in social networks is considered a classification problem. Since the data type used in the proposed method is text-based, both text mining and machine learning methods are used together. In this study, the sarcastic word classification process was carried out using a data set obtained from the Twitter social network, which includes two public classes. The performance of the proposed method was obtained with the Random Forest algorithm with an accuracy of 94.9%.
Features of noble metals at Pioneer gold deposit

The purpose of the present study is to evaluate the mass fractions of the group of noble metals (gold, silver, platinum, ruthenium, osmium, palladium, iridium, rhodium) in the ores and host rocks of the Pioneer deposit (the Upper Amur Region, Russia) and to determine their migration activity and hydrochemical classification of ore metals by sizes. The object of the study is primary and oxidized ores, as well as rocks hosting this mineralization. The study employs the method of quantitative chemical analysis, micro assay melting with an error of correctness, accuracy and reproducibility of the results of ≤30 %. Pioneer is a near surface hydrothermal deposit with oxidized and sulfide types of ores, which are processed both by the open method of alkaline heap cyanide leaching, and by the closed pressure method, respectively. A gold concentration plant was built to implement these processing methods. The main recoverable component of this technology is gold, whereas silver and platinum group metals are present in industrial products as impurities. The technology is highly profitable, which allows cost-effective processing of ores with the mass fractions of 1–4 ppm of gold. The performed hydrochemical classification of the sizes of native gold minerals has showed that the bulk of the nuggets (74– 78 %) of primary, sulfide, and oxidized ores accounts for the fraction with the sizes of 160–1000 μm and 11–13 % account for the fraction with sizes of 16–40 μm. Fine gold of the deposit provides its complete dissolution during the cyanidation process.
Speeding Up Minimum Distance Randomness Tests

Randomness testing is one of the essential and easiest tools for the evaluation of the features and quality of cryptographic primitives. The faster we can test, the greater volumes of data can be checked and evaluated and, hence, more detailed analyses may be conducted. This paper presents a method that significantly reduces the number of distances calculated in the minimum distance, Bickel-Breiman, and m nearest points tests. By introducing a probabilistic approach with an arbitrarily low probability of failure, the number of calculated distances proportional to the number of required distances and independent of the number of points was achieved. In the well-known Diehard’s minimum distance and 3D spheres tests, the quantity of computations achieved is reduced by the factors of 394 and 771, respectively.
Research plan for evaluating user satisfaction of public art museums through on-site survey using Indicators for Art Museums (IAM) scale with three question sections

Abstract We examine the methods for evaluating user satisfaction in public art museums. Specifically, we will conduct a multi-group questionnaire survey of museum users on their satisfaction with the services provided by public museums. Using selective multigroup principal component regression analysis—which combines principal component analysis and multiple regression analysis—we will statistically examine the factors that public art museums should emphasize when providing services to their users. The four-page questionnaire will comprise three sections: hardware (building and interior), software (staff responses), and exhibition content. We named the survey scale the Indicators for Art Museums’ (IAM’s) user satisfaction scale. The eventual survey will be conducted at the Higashihiroshima City Museum of Art for six business days on the third week of August 2022. Self-administered questionnaires will be distributed to visitors to the special exhibition. Our proposed scale is simpler than the existing SERVQUAL-based survey framework, which is a 5-section scale, and can reduce the burden on respondents and increase the response rate. Learning the opinions of those in charge of art museums from the very beginning of the formulation of the research framework also aids in the accuracy of the analytical model to be applied.
On bounds for norms of reparameterized ReLU artificial neural network parameters: sums of fractional powers of the Lipschitz norm control the network parameter vector

It is an elementary fact in the scientific literature that the Lipschitz norm of the realization function of a feedforward fully-connected rectified linear unit (ReLU) artificial neural network (ANN) can, up to a multiplicative constant, be bounded from above by sums of powers of the norm of the ANN parameter vector. Roughly speaking, in this work we reveal in the case of shallow ANNs that the converse inequality is also true. More formally, we prove that the norm of the equivalence class of ANN parameter vectors with the same realization function is, up to a multiplicative constant, bounded from above by the sum of powers of the Lipschitz norm of the ANN realization function (with the exponents $ 1/2 $ and $ 1 $). Moreover, we prove that this upper bound only holds when employing the Lipschitz norm but does neither hold for H\"older norms nor for Sobolev-Slobodeckij norms. Furthermore, we prove that this upper bound only holds for sums of powers of the Lipschitz norm with the exponents $ 1/2 $ and $ 1 $ but does not hold for the Lipschitz norm alone.
IS THE SAME AS NEVER GEAR IN ANIME SWORD ART ONLINE WITH METAVERSE

In the use of Never Gear with Medium metaverse _ developed by Mark Zuckerberg for now this and would it be dangerous? result in Dead for users on moment worn and for the method the wearer with method asleep or with still use or still in nature lower aware. Never Gear alone in method use it that with use connection computer and Virtual Reality tools in the form of a like helmet with provided _ stone backup on moment original battery _ already finished and battery backup can use with automatic for immediately used _ but the para player no can go out or turn off That Never Gear with by immediately or by force and if it is turned off by result in a explode tool that can _ destroy the room. Metaverse alone not yet there is proof can turn off, for now, this but it can happen that was like the Never Gear that arrived explode causing _ a great death _ terrible that is not want to feel by everyone. Objectives To find out whether the negative impact of never gear will be the same as metaverse, To find out whether the economic impact will have a good impact, To find out the opinion of people with the metaverse. For results from that study qualitative that I observe for now not yet, there is a victim soul for use Metaverse. But the Current Metaverse _ I see is still used for business, games, and activity work. Metaverse made look-alike possible like in the world real or today's world our occupy now this and there for buy clothes are called buy skins made from NFT and there can have a house yourself _ _ like.
Cryptocurrency-Related Cybercrime Types and Threats

This article emphasizes the types and threats of cybercrime related to cryptocurrencies. The necessity of implementing legislative regulations and invention of administrative control mechanisms in connection with the growth of the digital economy is also discussed. The presented article also elucidates features of cyber-cartels and their new instruments, such as “Auction Robots”, for committing illicit activities as the new type of the organized crime in a digital world. This work also focuses on describing certain categories of cybercrime, such as cryptojacking, which is a scheme to use people’s devices (computers, smartphones, tablets and etc.), without their consent or knowledge, to secretly mine cryptocurrency on the victim’s dime. To analyze the growth in demand, this work highlights the index of the whole capitalization and the exchange rates of the cryptocurrencies. Article also underlines the threat of the element of anonymity related to cryptocurrencies as the main instrument for criminals to either disguise terrorism financing or evade paying taxes. Some valuable examples of amendments developed and introduced by the US and Great Britain legislations to regulate crypto market and control tax evasion are also cited
Intercultural Communication of Indonesian-Australian International Special Class Alumni According to Proxemics Dimensions

This article examines the connection between proxemics and cosmopolitanism. Cosmopolitans can be understood as citizens of a borderless state or owners of global citizenship, with their communication also being borderless. Cosmopolitans usually come from many different cultures and use their native languag, but their perception of place is a gradually construced process and built with experience, education or the information they have gathered from media. Indonesian cosmopolitans also have an identity of being global citizens, who like travelling around the world but choose to stay in Indonesia with their family and friends. This article describes about Indonesian cosmopolitans who prefer to live in Indonesia despite the lack of a good living environment. The article also analyzes informant perceptions of space during their time studying in Australia and working in Indonesia. In accordance with the methodology chosen for the study, interviews with three informants of the International Class Program were conducted in Jakarta in July-August 2016. The informants were active students and are currently working near Jakarta. The study identifies the differences inherent in Indonesian cosmopolitans: 1) Indonesian cosmopolitans do not travel but they like living together with their families: “whether or not one eats, what matters is that one is together with family”, and; 2) these new cosmopolitans have an open attitude. This research using a framework of analysis based on proxemics and linked their communication experiences as cosmopolitans after returning to Indonesia as alumni, with several relevant answers based on their nonverbal intercultural communication.
THE ROLE OF SCIENTIFIC WRITING AS THE DEVELOPMENT OF STUDENT LITERATURE

This interest in reading, writing and critical thinking in students greatly raises students' concerns as the successor of a nation that has a superior position among other educators except students are said to be. So, it takes competence and self-quality to be better which is poured into the quality of students. This means that students if viewed from the government's point of view are the driving agents of change to move towards a better direction. Students will receive criticism and suggestions if there is a change in the government system error in the community. Of course, with this situation, there will be public rejection in the form of demonstrations.the role of students here will be present as social control, especially in voicing the voice of the community by applying idealistic values, and a critical understanding of the problems that exist. The activeness and mode of delivery of students who can be heard by the government are different from the community, which is only a commotion. Therefore, it is very important for students tounderstand and study literacy culture, by having the ability to read, write and think critically. However, the research that we are going to do, looking at the culture of literacy that is lacking in students is certainly not something that is allowed to continue. So it is necessary to study and follow up on this problem. This research method is a kind of descriptive qualitative approach in which data collection techniques in research are through interviews, observation, and documentation. From the results of this study, literacy culture in students can be grown through application by analyzing a problem in the form of scientific writing where through this learning studentscan demand themselves sort, choose, research, assess, and present problem solving as a form of skill. Without writing skills, students will stagnate and static and not be proficient in expressing their thoughts (Heriyudananta, 2021). In addition, it is shown how the factors that can hinder students indeveloping student literacy are that there is very advanced technological development where students prefer to be instant without going through process So that the application of the above does not become a problem solving but toreduce the lack of literacy interest in students.
Organizational Influence in the Public Speaking Development of KPI UIN Pekalongan Students

An organization, both intra, and extra-campus, usually has a positive impact on its members. One of the positive impacts is the increase in public speaking skills. As a student, public speaking skills are fundamental to master. Because later, if you have graduated and are asking to enter the community, public speaking skills are needed to communicate to the broader community. Especially for Islamic Broadcasting Communication (KPI) students, where communication is something they must master. This study aims to describe what activities are held by intraand extra-campus organizations that can increase the public speaking skills of KPI UIN K.H Abdurrahman Wahid students. The method used is a qualitative approach by filling out questionnaires through google form media and some who do direct interviews. The sample used is KPI semester two students because they are still new. Even though they have only been active in organizing for 4-6 months, they have already felt some of the positive impacts of organizing. The results of this study can be concluded that joining the organization can improve the ability in public speaking. Activities that can improve public speaking in each organization are different. However, some things are typical, such as actively participating in every meeting and evaluation held by each organization.
Forecasting Inflation Rate in Padang City Using Backpropagation Method

Desire to maximize economic growth in the Padang City, so it need to know the minimum estimate of inflation, that matter is done so that can anticipate the value of inflation outside the desired rate. This research was conducted to obtain forecasting inflation rates in the Padang City using the Backpropagation method. The data of this research is secondary data. Data obtained through the West Sumatra BPS website about inflation of Padang City in January 2013-December 2019. The results of research obtained a forecasting inflation rates in the Padang City with MSE value is 0.010689.
Bayesian model averaging for nonparametric discontinuity design

Quasi-experimental research designs, such as regression discontinuity and interrupted time series, allow for causal inference in the absence of a randomized controlled trial, at the cost of additional assumptions. In this paper, we provide a framework for discontinuity-based designs using Bayesian model averaging and Gaussian process regression, which we refer to as 'Bayesian nonparametric discontinuity design', or BNDD for short. BNDD addresses the two major shortcomings in most implementations of such designs: overconfidence due to implicit conditioning on the alleged effect, and model misspecification due to reliance on overly simplistic regression models. With the appropriate Gaussian process covariance function, our approach can detect discontinuities of any order, and in spectral features. We demonstrate the usage of BNDD in simulations, and apply the framework to determine the effect of running for political positions on longevity, of the effect of an alleged historical phantom border in the Netherlands on Dutch voting behaviour, and of Kundalini Yoga meditation on heart rate.
Multimode non-Gaussian secure communication under mode-mismatch

In this paper, we analyse the role of non-Gaussianity in continuous-variable (CV) quantum key distribution (QKD) with multimode light under mode-mismatch. We consider entanglement-based protocol with non-Gaussian resources generated by single-photon-subtraction and zero-photon-catalysis on a two-mode squeezed vacuum state (TMSV). Our results indicate that, compared to the case of TMSV, these non-Gaussian resources reasonably enhances the performance of CV-QKD, even under the effect of noise arising due to mode-mismatch. To be specific, while in the case of TMSV the maximum transmission distance is limited to 47 Km, single-photon subtracted TMSV and zero-photon-catalysed TMSV yield much higher distance of 73 Km and 152 Km respectively. However, photon loss as a practical concern in zero-photon-catalysis setup limits the transmission distance for zero-photon-catalysed TMSV to 36 Km. This makes single-photon-subtraction on TMSV to be the best choice for entanglement-based CV-QKD in obtaining large transmission distance. Nonetheless, we note that the non-Gaussianity does not improve the robustness of entanglement-based CV-QKD scheme against detection inefficiency. We believe that our work provides a practical view of implementing CV-QKD with multimode light under realistic conditions.
Training on making learning videos using Ms. PowerPoint and Fastone Capture at MTs Muhammadiyah 6 Bayat

The purpose of this community service program is to train MTs Muhammadiyah PK Bayat teachers how to create learning videos with Ms. PowerPoint and Fastone Capture. Face-to-face training in the form of material for making learning video content using Ms. PowerPoint and screen recording using Fastone Capture was used in this program. Participants be able to make learning videos using Ms. PowerPoint and Fastone Capture as an outcome of this training session.
Remote Technology and Trust

The internet is changing the way that knowledge is made and shared. Knowledge-making in face-to-face settings is being replaced by information gathering from remote sources, whose origins may be concealed but which can create an illusion of intimacy. Though remote communication is beneficial in many ways – modern societies would fail without it -- and though the tight boundaries of the face-to-face can be used for evil purposes such as criminal conspiracy, if the overall trend to remote communication continues unchecked, it could be disastrous for the future of democracy and the very idea of truth itself. Too much reliance on remote communication threatens the core institutions of democratic societies. We explain the change in technical detail, from a systematic analysis of the workings of the face-to-face to a high level setting-out of its dangerous political implications. The analysis includes field studies, reflexive examination, drawing on the wide experience of the authors, of the stickiness of the face-to-face in our own work and other institutions, and network analysis which explains the illusion of intimacy that can be generated inadvertently or maliciously. We look at the apparent effectiveness of techniques such as blockchain and the limits of their domain. New information is provided about the malicious use of disinformation by foreign powers. We dramatise the dangers to Western pluralist democracy through a personal accounting of the 2020 American election. By drawing out the special features of face-to-face interaction and its constitutive role in creating societies, with science as the icon, the book sets out an agenda for civic education that can protect democratic institutions from the erosion of pluralism and the facile abandonment of trustworthy expertise. The authors conclude by returning to the themes set out at the start of the book, namely the crucial role played by trust in modern societies and the importance of face-to-face interactions in reproducing that trust, and the democratic institutions in which it should be invested.
Safe Management of Autonomous Vehicles

Managing autonomous vehicles inside restricted areas for internal logistics purpose raises the question of safety. We deal here with this issue, and propose a Safe Shortest Path model, which we handle first through tree search in a static context, and next through learning techniques in a dynamic context.