Reviewerly/exHarmony huggingface dataset:
Secure Association Rule Mining on Vertically Partitioned Data using Fully Homomorphic Encryption

Cloud Computing is a leading innovation technology that guides to access applications over the web. The data owner’s data can be gotten to and controlled in the cloud. Privacy has become conclusive in information-driven applications within the distributed outsourced information. There are numerous inquiries still coming up on the best way to accomplish a confided in a climate that monitors application and information in the cloud from unapproved users. For offering protection to the users, sporadically there is a need to encode the data before accomplishing any other process. The cryptography method is embraced for data privacy. In this paper, a privacy-preserving construction is intended for vertically partitioned data in the cloud with the assistance of the Fully Homomorphic Encryption method. In this work, the homomorphic encryption and the Fully Homomorphic Encryption method is taken into consideration. The performance of the Rule Mining algorithm namely Eclat is compared with the encryption algorithms. The examination result shows that the Fully Homomorphic Encryption is less time-consuming to generate rule in the cloud, regardless of the number of transactions.
Automatic Online Multi-Source Domain Adaptation

Knowledge transfer across several streaming processes remain challenging problem not only because of different distributions of each stream but also because of rapidly changing and never-ending environments of data streams. Albeit growing research achievements in this area, most of existing works are developed for a single source domain which limits its resilience to exploit multi-source domains being beneficial to recover from concept drifts quickly and to avoid the negative transfer problem. An online domain adaptation technique under multisource streaming processes, namely automatic online multi-source domain adaptation (AOMSDA), is proposed in this paper. The online domain adaptation strategy of AOMSDA is formulated under a coupled generative and discriminative approach of denoising autoencoder (DAE) where the central moment discrepancy (CMD)-based regularizer is integrated to handle the existence of multi-source domains thereby taking advantage of complementary information sources. The asynchronous concept drifts taking place at different time periods are addressed by a self-organizing structure and a node re-weighting strategy. Our numerical study demonstrates that AOMSDA is capable of outperforming its counterparts in 5 of 8 study cases while the ablation study depicts the advantage of each learning component. In addition, AOMSDA is general for any number of source streams. The source code of AOMSDA is shared publicly in https://github.com/Renchunzi-Xie/AOMSDA.git.
The Impact of social skills in Teaching Speaking

The goal in this research were to identify The Impact of Social skills  by the lecturer in teaching speaking. The Research used a descriptive qualitative research design. The instrument of this study involved interview, observation, and documentation. The subject of this research is a lecturer who teached speaking to students. The data analysed as employed based on procedured of data analysis suggested by Miles and Huberman (2014). consisted of step data reduction, display, and conclution. The result of this research showed that there were some social skill that lecturer impacted in teaching speaking in verbal and nonverbal communication. , namely; discipline, respect, responsibility, self confidence, tolerance, honest and responsibility, curious, critical thinking, problem solving, decision making, and communication skill.  Based on the impacted of social skill, the lecturer manner to transfer his social skill with smile, sometimes did joke in the classroom. The impact of lecturer social skills in students’ speaking skill is very fluency based on the interview of the students. Most of them said have impcat for them to be good and more self confidence, social skill also make student want to be public speaker, more better relationship, better communication, greater efficiency, increase overall happiness, and more empathy.
An Image Steganography Algorithm using Fractional Discrete Wavelet Transform with Advanced Encryption System

The research constitutes a distinctive technique of steganography of image. The procedure used for the study is Fractional Random Wavelet Transform (FRWT). The contrast between wavelet transform and the aforementioned FRWT is that it comprises of all the benefits and features of the wavelet transform but with additional highlights like randomness and partial fractional value put up into it. As a consequence of the fractional value and the randomness, the algorithm will give power and a rise in the surveillance layers for steganography. The stegano image will be acquired after administrating the algorithm which contains not only the coated image but also the concealed image. Despite the overlapping of two images, any diminution in the grade of the image is not perceived. Through this steganographic process, we endeavor for expansion in surveillance and magnitude as well. After running the algorithm, various variables like Mean Square Error (MSE) and Peak Signal to Noise ratio (PSNR) are deliberated. Through the intended algorithm, a rise in the power and imperceptibility is perceived and it can also support diverse modification such as scaling, translation and rotation with algorithms which previously prevailed. The irrefutable outcome demonstrated that the algorithm which is being suggested is indeed efficacious.
Performance Analysis for Provisioning and Energy Efficiency Distributed in Cloud Computing

In today’s world, ICT (information communication technology) is being developed in full swing for any small-or large-scale organization, and this has lifted innovation to a higher level such as “distributed computing”. In practice, it is a difficult innovation in itself. Of the various challenges, vitality preservation and security issues are the most sought after in distributed computing in the present situation. Vitality preservation incorporates the idea of “green computing” and further supports virtualization, adjusting and planning in a significant manner. This chapter discusses the fundamental needs of vitality protection and security in cloud investigations. Distributed computing is a foundation for running endeavor and web applications in a financially savvy way. Be that as it may, the development needs of cloud have expanded the vitality utilization of server farms, which has become a significant issue. High vitality utilization means higher operational cost and it severely affects the earth. The primary goal of this document chapter is to improve the utilization of registering with a decrease in vitality utilization under the exceptional responsibility autonomous nature of administration requirements. . This chapter additionally portrays the relocation of use towards cloud and examines different components of cloud, which contribute to overall energy utilization.
Information Management for Multi-Agent Systems

Multi-Agent Systems (MAS) are becoming increasingly popular in large-scale dynamic domains such as Smart Cities and Search \& Rescue (S\&R) missions. In order for agents to cooperate efficiently in such domains, they need to distribute tasks, share knowledge, resolve conflicts, incorporate unknown agents, assign roles among each other, assign and keep track of teams of agents, etc. The cooperation in such dynamic domains requires both a software platform that supports the interoperability of cyber-physical agents as well as a shared Knowledge Base that stores general semantic information about the entities of discourse as well as live status information. ALICA, which is an in-house Multi-Agent platform, addresses such domains and is well suited to tackle a lot of these problems. To further enhance its capabilities, an extension is planned in order to integrate the standardised context information interface NGSI-LD as well as the widely used FIWARE models and components for Smart Cities, which enables the management of static and dynamic context information in normal and crisis situations.
Aircraft Emergency Trajectory Design: A Fast Marching Method on a Triangular Mesh

In this paper, an efficient algorithm to generate a short and safe trajectory for an aircraft in a situation of emergency is proposed. The algorithm is to be run on a Flight Management System, hence the computation performance, the size of the stored data and the quality of the solution are taken as primary stakes. The algorithm is based on a front propagation algorithm, the Fast Marching method. Fronts are propagated on a single glide slope, allowing the algorithm to provide a flyable trajectory in a very short time (a few seconds). The algorithm is tested in a mountainous environment, and both shortness and safeness are obtained in response to a critical emergency.
RANCANG BANGUN KONSTRUKSI PANEL SURYA MENGGUNAKAN REFLEKTOR (CERMIN) DENGAN PENAMBAHAN SISTEM PENDINGIN HEATSINK

So far, solar panels have only been known to produce limited electrical energy because they depend on the intensity of light from the sun, the addition of a reflector needed to increase the intensity of sunlight on the solar panel, the addition of a heatsink needed to neutralize the temperature of the panel when reflected sunlight from two reflectors at once that can causes an increase in the temperature of the panel, due to the limited capability of the panel, it is necessary to add a reflector along with a heatsink and equipped with a frame so that the resulting panel product uses a reflector with a heatsink cooling system. heatsink cooling, this is based so that later on we can independently manufacture solar panels using reflectors with a heatsink cooling system, the manufacturing process applied to solar panels uses reflectors with The heatsink cooling system is carried out by applying manufacturing analysis such as the parameters of the cost of making the product, the duration needed to manufacture the product, as well as what kind of processes are needed for the manufacture of the product.
LOOK AT THE HISTORICAL PROCESSES OF THE FORMATION OF SCIENTIFIC PARADIGMS

The article examines the historical development of the processes of knowledge accumulation, which eventually led to the formation of the current scientific paradigm, which is the information basis of modern human life. The article is based on the scientific-critical use of previous achievements in the field of history of science. The scientific novelty of the article is a comprehensive presentation of the historical development of the scientific paradigm as a result of a natural dialectical change of its specific stages with appropriate systematization of knowledge (mythology, philosophy, science), caused by the growth of knowledge and development of research methods. contemplation, experiment with the subsequent formation of a theoretical model). Materials, research in the article allow us to say that current trends in the role of science in modern society are forcing us to return to the processes of formation of the scientific paradigm. The latter were complex and nonlinear, and the formation of scientific principles of cognition was their natural result. Throughout human history, the acquisition and use of knowledge about the objective world has been carried out in various, historically necessary forms - both in the methodology of cognition and in the method of systematization, which was determined by the level of their accumulation. The authors note that the accumulation of knowledge in society took place in the process of direct practical activity, on the basis of alleged "external" contemplation and as a result of conscious influence on the object of study (experiment) with their different "specific weight" at different historical stages. Thus, today the scientific paradigm is a natural result of the historical development of forms of knowledge and its highest achievement, and the reduction of its role objectively leads to a decrease in the effectiveness of social development.
Evaluating X-Vector-Based Speaker Anonymization Under White-Box Assessment

In the scenario of the Voice Privacy challenge, anonymization is achieved by converting all utterances from a source speaker to match the same target identity; this identity being randomly selected. In this context, an attacker with maximum knowledge about the anonymization system can not infer the target identity. This article proposed to constrain the target selection to a specific identity, i.e., removing the random selection of identity, to evaluate the extreme threat under a white-box assessment (the attacker has complete knowledge about the system). Targeting a unique identity also allows us to investigate whether some target’s identities are better than others to anonymize a given speaker.
Kindergarten Teachers’ Creative Teaching Performance and Guiding Strategies for Children’s Problem Behaviors: The Moderating Roles of Burnout

This study aims to examine the pathway of kindergarten teachers’ creative teaching behaviors toward their guiding strategies to address children’s problem behaviors moderated by their burnout level. The participants were 218 kindergarten teachers in Chungbuk, and the data were analyzed via SPSS and PROCESS 3.5. Results showed that teachers who implemented creative teaching tended to use positive strategies for preventing children’s problem behaviors and responded positively when dealing with such behaviors. However, this study observed that creative teaching behaviors had no effect on negative reactions to children’s problem behaviors. One dimension of teachers’ burnout&#8212;physical and emotional exhaustion&#8212;did not influence their positive guiding strategies; meanwhile, a significant interaction effect was found with positive prevention strategies. In addition, the higher the teachers’ level of physical and emotional exhaustion is, the higher their likelihood of using negative reactions to guide children’s problem behaviors is. Teachers’ level of skepticism and sense of incompetency, another dimension of teacher burnout, was likely to increase their degree of negative reactions and decrease their level of positive prevention. The results imply that teachers’ burnout is a risk factor, and competencies such as creativity are insufficient to prevent negative reactions when children behave in challenging ways.
Utilization Of Educational Facilities At The Primary Schools Of The Basirhat 1, Bangaon And Swarupnagar Block In North 24 Parganas

Educational facilities are the facilities provided to students, so that they can use every opportunity to develop full potential. The study was conducted to determine the utilization of the educational facilities in the primary schools of Basirhat1, Bangaon and Swarupnagar blocks of North 24 Parganas in West Bengal those are adjacent to the Indo-Bangla international border. The survey was carried out among 300 children and 30 teachers among them 15 Headmasters and 15 Assistant teachers from 15 selected Primary schools. Data were collected using questionnaires in the selected primary schools. Three point scale questionnaire was developed regarding utilization of the educational facilities. The result of the ANOVA was found that there was no significant difference among the Bashirhat 1, Bongaon and Swarupnagar blocks at 0.05 levels on the utilization of the educational facilities. On the other hand, The result of the t- test was found that there were no significant difference between the groups of Bashirhat-I and Bangaon block, Bashirhat 1 and Swarupnagar blocks, Bongaon and Swarupnagar blocks at 0.05 levels on the utilization of the educational facilities. It is recommended that more educational facilities should be provided to utilize the educational facilities properly.
Barriers to the effectiveness of cyber crime prevention strategies

Background and Aim: Criminologists and other social science researchers' concerns about crime reduction have led them to conduct numerous empirical studies to identify problems and barriers to inadequate or ineffective prevention programs. Given the necessity of applying such an approach to identifying and resolving problems in the field of criminal justice in Iran, the main issue of the present study is to investigate the barriers to the effectiveness of cyber-crime prevention strategies and provide solutions to them. Method: In order to answer the research question, in addition to reviewing the existing documents and rules, in-depth interviews were conducted with 4 experts and executives of ethical crime prevention programs in cyberspace. Findings and Results: The findings of the study suggest several key points: First, poor co-operation, similar tasks, and power relations between institutions are needed to prevent multi-institutional prevention of crimes against ethical security in cyberspace based on the intended objectives. In the meantime, weak partnerships between the public and private sectors, along with a modest share of people and public associations, are other barriers to the effectiveness of preventive interventions in this area. In addition, many prevention plans and programs are implemented without evaluation and their effectiveness is not measured after implementation. Overuse of filtering and its introduction as one of the right strategies to prevent cybercrime may not only be unsuccessful but it will also have unintended consequences that will undermine the effectiveness of these measures.
Shape Inference and Grammar Induction for Example-based Procedural Generation

Designers increasingly rely on procedural generation for automatic generation of content in various industries. These techniques require extensive knowledge of the desired content, and about how to actually implement such procedural methods. Algorithms for learning interpretable generative models from example content could alleviate both difficulties. We propose SIGI, a novel method for inferring shapes and inducing a shape grammar from grid-based 3D building examples. This interpretable grammar is well-suited for co-creative design. Applied to Minecraft buildings, we show how the shape grammar can be used to automatically generate new buildings in a similar style.
Automatic Identification of Types of Alterations in Historical Manuscripts

Alterations in historical manuscripts such as letters represent a promising field of research. On the one hand, they help understand the construction of text. On the other hand, topics that are being considered sensitive at the time of the manuscript gain coherence and contextuality when taking alterations into account, especially in the case of deletions. The analysis of alterations in manuscripts, though, is a traditionally very tedious work. In this paper, we present a machine learning-based approach to help categorize alterations in documents. In particular, we present a new probabilistic model (Alteration Latent Dirichlet Allocation, alterLDA in the following) that categorizes content-related alterations. The method proposed here is developed based on experiments carried out on the digital scholarly edition Berlin Intellectuals, for which alterLDA achieves high performance in the recognition of alterations on labelled data. On unlabelled data, applying alterLDA leads to interesting new insights into the alteration behavior of authors, editors and other manuscript contributors, as well as insights into sensitive topics in the correspondence of Berlin intellectuals around 1800. In addition to the findings based on the digital scholarly edition Berlin Intellectuals, we present a general framework for the analysis of text genesis that can be used in the context of other digital resources representing document variants. To that end, we present in detail the methodological steps that are to be followed in order to achieve such results, giving thereby a prime example of an Machine Learning application the Digital Humanities.
Matching with Transformers in MELT

One of the strongest signals for automated matching of ontologies and knowledge graphs are the textual descriptions of the concepts. The methods that are typically applied (such as character- or token-based comparisons) are relatively simple, and therefore do not capture the actual meaning of the texts. With the rise of transformer-based language models, text comparison based on meaning (rather than lexical features) is possible. In this paper, we model the ontology matching task as classification problem and present approaches based on transformer models. We further provide an easy to use implementation in the MELT framework which is suited for ontology and knowledge graph matching. We show that a transformer-based filter helps to choose the correct correspondences given a high-recall alignment and already achieves a good result with simple alignment post-processing methods.
Alquist 4.0: Towards Social Intelligence Using Generative Models and Dialogue Personalization

The open domain-dialogue system Alquist has a goal to conduct a coherent and engaging conversation that can be considered as one of the benchmarks of social intelligence. The fourth version of the system, developed within the Alexa Prize Socialbot Grand Challenge 4, brings two main innovations. The first addresses coherence, and the second addresses the engagingness of the conversation. For innovations regarding coherence, we propose a novel hybrid approach combining hand-designed responses and a generative model. The proposed approach utilizes hand-designed dialogues, out-of-domain detection, and a neural response generator. Hand-designed dialogues walk the user through high-quality conversational flows. The out-of-domain detection recognizes that the user diverges from the predefined flow and prevents the system from producing a scripted response that might not make sense for unexpected user input. Finally, the neural response generator generates a response based on the context of the dialogue that correctly reacts to the unexpected user input and returns the dialogue to the boundaries of hand-designed dialogues. The innovations for engagement that we propose are mostly inspired by the famous exploration-exploitation dilemma. To conduct an engaging conversation with the dialogue partners, one has to learn their preferences and interests -- exploration. Moreover, to engage the partner, we have to utilize the knowledge we have already learned -- exploitation. In this work, we present the principles and inner workings of individual components of the open-domain dialogue system Alquist developed within the Alexa Prize Socialbot Grand Challenge 4 and the experiments we have conducted to evaluate them.
Vision-based system identification and 3D keypoint discovery using dynamics constraints

This paper introduces V-SysId, a novel method that enables simultaneous keypoint discovery, 3D system identification, and extrinsic camera calibration from an unlabeled video taken from a static camera, using only the family of equations of motion of the object of interest as weak supervision. V-SysId takes keypoint trajectory proposals and alternates between maximum likelihood parameter estimation and extrinsic camera calibration, before applying a suitable selection criterion to identify the track of interest. This is then used to train a keypoint tracking model using supervised learning. Results on a range of settings (robotics, physics, physiology) highlight the utility of this approach.