Reviewerly/exHarmony huggingface dataset:
A Secure Virtual Machine Allocation Strategy Against Co-Resident Attacks

In the area of network development, especially cloud computing, security has been a long-standing issue. In order to better utilize physical resources, cloud service providers usually allocate different tenants on the same physical machine, i.e., physical resources such as CPU, memory, and network devices are shared among multiple tenants on the same host. Virtual machine (VM) co-resident attack, a serious threat in this sharing methodology, includes malicious tenants who tend to steal private data. Currently, most solutions focus on how to eliminate known specific side channels, but they have little effect on unknown side channels. Compared to eliminating side channels, developing a VM allocation strategy is an effective countermeasure against VM co-resident attack as it reduces the probability of VM co-residency, but research on this topic is still in its infancy. In this study, firstly, a novel, efficient, and secure VM allocation strategy named Against VM Co-resident attack based on Multi-objective Optimization Best Fit Decreasing (AC-MOBFD) is proposed, which simultaneously optimizes load balancing, energy consumption, and host resource utilization during VM placement. Subsequently, security of the proposed allocation strategy is measured using two metrics – VM attack efficiency and VM attack coverage. Extensive experiments on simulated and real cloud platforms, CloudSim and OpenStack, respectively, demonstrate that using our strategy, the attack efficiency of VM co-residency is reduced by 37.3% and VM coverage rate is reduced by 24.4% when compared to existing strategies. Finally, we compare the number of co-resident hosts with that of hosts in a real cloud platform. Experimental results show that the deviation is below 9.4%, which validates the feasibility and effectiveness of the presented strategy.
Problem of Protection against Cyber Crimes in the Field of Cryptocurrency Circulation

In the course of the study, cases of interaction of a cryptocurrency system with external subjects were identified. Such connections are manifested mainly in the protection of rights of participants in the cryptocurrency market in the event of an offense, respectively, the issue of punishment of offenders, taxation issues, as well as the performance of the cryptocurrency as a medium of circulation outside the cryptocurrency market. Due to the misregulating of the algorithm of such relationships at the legislative level, many violations of the rights and interests of both the participants of the cryptocurrency market and these very external actors arise. The way to resolve problematic issues is to develop a legislative framework. First, since each state at the national level regulates the process of cryptocurrency circulation in its own way, and the cryptocurrency market covers the whole world, it becomes necessary to establish common rules, as well as to develop a conceptual and categorical apparatus at the international level. Such an act can even be documented as a legal custom, such as IncotermsNÂÂÂ After determining the main points regarding the circulation of cryptocurrency in the world at the international level, each state will be able to develop norms at the level of national legislation on some basis. Today it is very important to realize that the emergence of a cryptocurrency (digital money) is a globalization phenomenon. Cryptocurrency is a class of financial assets that is developing and gains popularity more quickly than others and is both a prospect and a threat to the entire global financial system. Therefore, it is necessary to take control of this phenomenon in advance in order to be ready for its appearance in the financial markets.
Fit for play: adaptive experience

Sedentary behavior in children (> 4 years of age) has increased over the last decades, resulting in a decline of physical skills. This leaves children prone to health risks such as obesity, mental depression, a lower self-esteem, and social exclusion. The risks increase particularly in children who develop a sedentary lifestyle. Exergames seem promising in engaging children in physical activities. Professionals from a variety of disciplines are thus interested in using exergaming in their work. Although there are promising results showing the potential effectiveness of exergames to increase the amount and quality of physical exercise, many questions remain to be answered. Chief among them is the question of which specific aspects of the exergames are responsible for the behaviour change process. The aim of our research project is thus to gain a greater understanding of the design space for exergames to support children in their physical behaviour. In our preliminary research we used a participative design method. Domain experts were invited to partake in interviews and co-creation sessions. These activities led to an in-depth list of requirements on a platform and exergame level and a first overview of necessary design directions. Future directions for this project include a participative design research study in which a platform containing multiple exergames will be developed and evaluated on a national scale, resulting in a knowledge base for dissemination in relevant fields of work.
Virtual channels of student social self-presentation based on the materials of the LevelPride Internet portal

This article studies the social aspects of students’ self-representation using the virtual information and rating system LevelPride, which allows creating a personal portfolio and rating them. The purpose of this research involves analyzing the usefulness of this resource as one of the ways to integrate and modernize the regional education systems. The latter may lead in the following directions: 1)&amp;nbsp;to motivate students to keep their professional information up to date and to present it effectively; 2)&amp;nbsp;to assess whether the created competences comply with the requirements of contemporary labor market and social expectations. The authors studied the data from LevelPride’s e-portfolios (more than 10,000 user profiles), using descriptive, cluster, and factor analysis. The results show five basic clusters structured according to the students’ social activities and achievements. Based on their preferences in terms of their self-representation, the authors distinguished three types of students. Each of these groups had one accent of self-presentation: “utilitarian”, “professional” or “communicative”&amp;nbsp;— which differed in preferred life success strategies. The problem occurs when students’ self-presentation prevents them from achieving success rather than helps. The authors hope this work will start fruitful discussions in academic and teaching spheres as well as commercial. They also suggest that the provided system of the student’s self-presentation should be introduced at universities on a trial basis.
Research Guides: ENGL 1301: Composition & Rhetoric I (Boston): Panic Button

Fall 2019 | ENGL 1301 | Prof. K. Boston (Musgrove) Oh no, it's not going well! Where to find help if/when you need it.
People Entity Recognition in Indonesian Quran Translation with Conditional Random Field Approach

The Quran is the primary source of law for Muslims. Quran has a total of 30 juzs, divided into 144 surahs and arranged of 6,236 verses and in the Quran discuss different topics and have many entities too, so someone sometimes has difficulty understanding the Quran. To make it easier to understand the Quran, we can get identification of essential entities in the Quran such as names of the people in the Quran. One way to do it is by extracting information on essential entities in Quran is with Named Entity Recognition (NER). NER automatically recognizes essential entities such as the people's names at the Quran. This paper builds a system for identifying the entity of the people in the Quran using CRF techniques with a multiple choice approach where the system will be introduced with a range of possibilities from the entity and adjusted to an input given to be able to detect entities. On system developing for identifying the entity of the people in Quran with Indonesian Quran translation dataset shows, this test produces an average performance of using the F1 generated at 0.77 for the use of training data as many as 36814 data from 954 verses in the Quran.
Sub-band coding of hexagonal images

According to the circle-packing theorem, the packing efficiency of a hexagonal lattice is higher than an equivalent square tessellation. Consequently, in several contexts, hexagonally sampled images compared to their Cartesian counterparts are better at preserving information content. In this paper, novel mapping techniques alongside the wavelet compression scheme are presented for hexagonal images. Specifically, we introduce two tree-based coding schemes, referred to as SBHex (spirally-mapped branch-coding for hexagonal images) and BBHex (breadth-first block-coding for hexagonal images). Both of these coding schemes respect the geometry of the hexagonal lattice and yield better compression results. Our empirical results show that the proposed algorithms for hexagonal images produce better reconstruction quality at low bits per pixel representations compared to the tree-based coding counterparts for the Cartesian grid.
Quantum and classical communications on shared infrastructure

Future communications networks not only should enable massive exchange of classical bits, but also the transmission of quantum bits on which many quantum applications rely. This will be the key to offering quantum technologies in a cost-efficient way, and it should encompass the integration of quantum and classical networks at the core of existing optical communications networks, as well as at the access end of such networks. In this work, we cover a range of proposals that enable such an integration for one of the imminent applications of quantum technologies, i.e., quantum key distribution (QKD), by which users can securely exchange a secret key for their cryptographic needs. This will include using wavelength division multiplexing techniques to send quantum and classical data on the same fiber as well as wireless access for QKD users to passive optical networks. In each case, we explore optimal arrangements to find the best way forward for an amicable coexistence.
Efficient Cloud Backup and Private Search

Author(s): Agun, Daniel Michael | Advisor(s): Yang, Tao; Tessaro, Stefano | Abstract: As organizations and companies are increasingly offloading data and computation to the cloud to reduce infrastructure administration,data volume keeps growing and new services and algorithms are needed to meet increasing demands for both storage capacity and privacy.The first part of my thesis will address cloud data backup.Organizations and companies often backup and archive high volumes of binary and text datasets for fault tolerance,internal investigation, and electronic discovery. Source-side deduplication has an advantage to avoid or minimize duplicated data transmitted over the network,however it demands more computing resource to perform extensive fingerprint comparison which would otherwise be available for primary services at the source.For data stored in the cloud, users need efficient, scalable services for searching these files.In the first part of this thesis, I will cover the key components of existing solutions for large-scale backup storage in the cloud.I will go into detail on how deduplication is important to large scale backup systems, and review some ongoing work.I will also detail my contributions in this area towards low-profile source-side deduplication.The second part of my thesis addresses an open problem for efficient private document search on data hosted on the cloud.As sensitive information is increasingly centralized into the cloud, for the protection of data privacy, such data is often encrypted,which makes effective data indexing and search a very challenging task. To overcome the challenges of querying encrypted datasets,searchable encryption schemes allow users to securely search over encrypted data through keywords.No existing solutions for efficient ranking which involves complex arithmetic computation in feature composition and scoring currently exist,and without relevant ranking of search results queries over very large datasets which may return many results can be impractical.In the second part of my thesis I will review existing work on private search and introduce our ongoing and published work for this open problem,focusing on how to make private search practical and scalable for large datasets.
Constants in rationalapproximation of Markov-Stieltjes functions with fixed number of poles

Rovba, E. Constants in rationalapproximation of Markov-Stieltjes functions with fixed number of poles/E. Rovba, E.G. Mikulich // Веснік ГрДУ імя Янкі Купалы. Сер 2. Матэматыка....- 2013 .- № 1(148).- С.12-20 Статья
MODEL MANAJEMEN PENDIDIKAN BERBASIS SOLUSI UNTUKMENINGKATKAN PENGELOLAAN PERPUSTAKAAN SEKOLAH

Solution-Based Education Management Model to Improve Management of School Libraries (Action Research in SMP Negeri 5 Padang Jaya, North Bengkulu Regency).This study aims to improve the management of school libraries through Solution-Based Education Management in Padang jaya State Middle School 5 North Bengkulu Regency.The method used is action research with three cycles.The main subjects of this study were principals, teachers
Image stitching of microscopic wastewater images

In this paper, image stitching strategy is proposed to prepare a virtual slide image of the sample of activated sludge obtained from the wastewater treatment plant. The bright-field microscopic images have inherent problem of vignetting and less contrast, which result into failed image registration by conventional methods. Our method involves illumination correction, image segmentation, image registration and finally, image stitching. First, flat-field correction method is applied to all the acquired field of views (FOVs) to balance the illumination on each FOV. In the second step, adaptive thresholding method is employed to segment all the acquired FOVs to convert into binary images. This step is meant to increase the accuracy of finding the overlapping region during image registration. Then, phase correlation is used to find the overlapping region between images in horizontal direction during image stitching for each row of the microscopy slide, and in vertical direction subsequently for image stitching between the rows. The proposed method has been compared with the state-of-the-art algorithms using subjective inspection, and no reference evaluation indices of entropy and clarity. From the evaluation, we had observed that the proposed method performs better.
G-Web: Método para el desarrollo de guías de estudio en formato Web

The development of educational electronic material is slightly complex since it involves teachers, students, sources such as: texts, images, animations, videos and programming tools that when combined must be organized, planned and managed in the best way, seeking to ensure efficiency and effectiveness of the product in question. In this way, some basic notions and concepts of computer science and software engineering are presented in this article that entail presenting a simple method that is oriented to middle school teachers, which will allow designing, developing and implementing study guides in a web format, which have proven to be very useful in edu- cational work, because they represent a novel option in teaching and complement the benefits of conventional instruments used by tradition.
A Search Method to Support Temporal Transcriptome Analysis.

Recently, there has been an increasing interest in mining time series databases with a focus on data representation. We propose a hybrid statistical and temporal logic model to yield search pattern that can be used for pattern matching and database search to identify novel and common patterns in temporal expression experiments. The method accounts for various challenges that can be found in publicly available gene expression databases.
Multi-method Supervision Online Learning Process System Design

This paper designs a multi-method to supervise the online learning process. Through the combination of four monitoring methods, the system effectively monitors the whole process of online learning and feeds back to learners in the form of scores. The four monitoring methods are: monitoring and recording the effective learning time of the learner, supervising the integrity of the learner's learning content, scoring the learner's knowledge in the chat room, and testing the learner's final learning effect and quality. Application of this system can be implemented to monitor the whole process of online learning, online learning for learners play the role of supervision and oversight to ensure the quality of online education, and promote the healthy development of online education.
Building Knowledge Intensive Architectures for Heterogeneous NLP Workflows

Workflows are core part of every modern organization ensuring smooth running operations, task consistency and process automation. Dynamic workflows are being used increasingly due to their flexibility in a working environment where they minimize mundane tasks like long-term maintenance and increase productivity by automatically responding to changes and introducing new processes. Constant changes within unstable environments where information may be sparse, inconsistent and uncertain can create a bottleneck to a workflow in predicting behaviours effectively. Within a business environment, automatic applications like customer support, complex incidents can be regarded as instances of a dynamic process since mitigation policies have to be responsive and adequate to any case no matter its unique nature. Support engineers work with any means at their disposal to solve any emerging case and define a custom prioritization strategy, to achieve the best possible result. This paper describes a novel workflow architecture for heavy knowledge-related application workflows to address the tasks of high solution accuracy and shorter prediction resolution time. We describe how policies can be generated against cases deriving from heterogeneous workflows to assist experts and domain-specific reusable cases can be generated for similar problems. Our work is evaluated using data from real business process workflows across a large number of different cases and working environments.
Planned obsolescence and consumer protection

Purpose – The text addresses the problem of planned obsolescence from the point of view of consumer protection, based on the decisions of Autorità Garante della Concorrenza e del Mercato which condemned Samsung and Apple on the grounds of the prohibition of unfair commercial practices. It aims to consider the scope of the applicable similar norms in Portuguese and Brazilian legal systems.&#x0D; Methodology – Analysis of the grounds relied on those decisions, as well as the relevant doctrine regarding planned obsolescence and consumer protection from a comparative law perspective.&#x0D; Findings – The text demonstrates which norms can ensure consumer protection in the case of technical or functional planned obsolescence, especially considering the communication dimension, which focuses on the right to information.
The nature of metacognitive imperfection in perceptual decision making

Humans have the metacognitive ability to judge the accuracy of their own decisions via confidence ratings. A substantial body of research has demonstrated that human metacognition is fallible but it remains unclear how meta-cognitive imperfection should be incorporated into a mechanistic model of confidence generation. In this study, we show that the psychometric properties of metacognitive measures along with empirical zROC functions can be used to reveal the mechanisms underlying metacognitive imperfection. We found that contrary to what is typically assumed, metacognitive imperfection depends on the level of confidence: across five different published data-sets and four different measures of metacognition (meta-d’, Mratio, phi, and Type-2 AUC), metacognitive ability decreased with higher confidence ratings. To understand the nature of this effect, we collected a large dataset of 20 subjects completing 2,800 trials each and providing confidence ratings on a continuous scale. Our findings demonstrated robustly concave zROC curves, despite a decades-old assumption of linearity. These results suggest that noise during confidence generation increases for higher confidence criteria, thereby making higher confidence ratings less reliable. We incorporated this mechanism into a new process model of confidence generation, which assumes the existence of lognormally-distributed metacognitive noise – that is, noise affecting the confidence ratings but not the perceptual decision – whose variance scales with the mean. The model outperformed competing models either lacking metacognitive noise altogether (average AIC difference = 29.70) or featuring Gaussian metacognitive noise (average AIC difference = 17.39). Finally, our model also yielded a measure of metacognitive ability that is independent of confidence levels unlike all currently popular measures such as meta-d’, Mratio, phi, Type-2 AUC, or Type-2 d’. These findings establish an empirically-validated model of confidence generation, have significant implications about measures of metacognitive ability, and begin to reveal the underlying nature of metacognitive imperfection.
A Survey on Image Clustering using Soft Computing Techniques

This paper includes detailed study of image clustering and the many algorithms of soft computing for image clustering. This paper gives a standard survey of image clustering. Specifically, it first instigates the basic knowledge for a good understanding of image clustering. Then some soft computing based image clustering algorithms are introduced. Finally, it concludes a better algorithm which is offered in image clustering based study by which it can find a similar cluster with great accuracy.
Experience of Philosophical Reflection about Problems of the Technosphere Safety (Based on the Material of Soviet and Russian Philosophical Discussions)

The article continues to implement a philosophical reflection on the technosphere, considered as a necessary part of the noosphere, in the aspect of technosphere disasters, whose "Sword of Damocles" "hangs" over humanity on an increasingly "thin" "horsehair".However, from our point of view, they basically will always be solvable, and we consider the cultivation of "university", "multifaceted", "multidisciplinary" type of education to be the "key" to their solution (in contrast to "mosaic", "highly specialized", "limited professional" education).Indeed, it is "one-dimensional people", "narrow specialists" = "learned ignoramuses", "Das MAN" (in the terminology, respectively, H. Marcuse, J. Ortega y Gasset and M. Heidegger) act, firstly, as a brake of technosphere progress, and, secondly and most importantly, the "creator" of technosphere disasters.