Reviewerly/exHarmony huggingface dataset:
Analysis of Execution Time for Encryption During Data Integrity Check in Cloud Environment

Cloud computing is one of the latest and encouraging solutions to the increasing demand for using and accessing the resources endowed over the internet. It has significantly emerged as a standard for deploying services, applications for both end-users and enterprises. It offers powerful processing and storage resources as on-demand services with reduced cost, increased efficiency and performance. All these features promote enterprises, critical infrastructure providers and even government projects or applications to drift towards the cloud. In recent years, for all the fast growing segments of Information Technology industry, cloud computing has grown as a promising business concept. However, issues begin to grow on cloud as vast amount of information of individuals and organizations are stored on cloud, which raise a question about cloud environment providing stability, reliability and safety. With many well provisioned, well adapted promising facilities and benefits, there are still a number of technical obstacles such as security and quality of service which hinder the proper utilization of the cloud. In this regard, a possible solution is proposed to provide high level confidentiality by preserving the data integrity. An analysis is performed for the proposed method to verify the repeatability in the encryption process in given environment.
Academic Conferences as a Tool for Language Skills Development in Non-language Majoring University Students

In our globalized society, one of the key requirements in professional education is development of the communicative competence, including multicultural communication skills, the ability to advance products of intellectual property, and the results of scientific research and innovative developments in the international market. The authors work on a system of continuous education in foreign languages for various categories of students in higher education institutions. One of their research areas lies in finding out how quality may be ensured in educational services for students of a sufficient level of proficiency in foreign-language competence in order to communicate with representatives of other cultures, which is a priority task for any competitive higher education institution. The paper examines organization of students’ conferences, with English as the working language, as an effective means for successful formation of foreign-language communicative competence in natural science students. The authors consider the sequence of forms of student work (group and individual) as the most effective strategy for forming their foreign-language competence. The paper provides the description of different activities involving preparation of reports in English, the results obtained in the process of preparing bachelor’s degree students for participation in conferences, and analysis of their practical experience. The mentioned approach can be applied not only when preparing students for participation in students’ academic conferences, but also in other kinds of activity connected with professional foreign language education (seminars, round tables, webinars, and others) both in higher educational institutions and specialized schools.
Software Engineering in Internet of Things

This chapter gives an overall role of software engineering in internet of things domain. In this chapter, the following topics are included: glimpse of complete software engineering, main motivation of IoT, how IoT evolved, usage of software engineering concepts in IoT, role of CBSE in IoT, role of aspect-oriented software engineering, heterogeneous boards in designing IoT systems, importance of integration phase in IoT systems, comparison of different IDEs of IoT, testing of IoT systems, and a case study illustrating all the concepts for online blood banking system and forest fire detection.
Fuzzy Cognitive Maps for Evaluating Software Usability

The usability assessment is a highly complex process given the variety of criteria to consider and it manifests imprecision, understood as the lack of concretion about the values to be used, synonymous with ambiguity. The usability evaluation method proposed in this work incorporates elements of Soft Computing such as fuzzy logic and fuzzy linguistic modeling. Furthermore, the use of fuzzy cognitive maps allows adding the interrelation between criteria and therefore to obtain a real global index of usability. A mobile app was developed to evaluate the usability of mobile applications based on this proposal. The application of this proposal in a real-world environment shows that it is an operative solution, reliable, precise and of easy interpretation for its use in the industry.
Nomadic School: Problem of Access to Quality Education

The article is devoted to problems of accessibility to quality education in small nomadic schools. In this paper the problems of nomadic schools are considered from the point of view of current modernization processes, taking place in the Russian Federation in the field of general secondary and higher professional education. Herein we consider the problems of small schools, including nomadic, which teach children of small peoples of the North. The development of nomadic schools, in our opinion, should be considered comprehensively, not as a separate segment, but in the context of improving the quality of life and well-being of the Arctic territories inhabitants who live in severe climatic conditions. In the Republic of Sakha (Yakutia), there are 11 nomadic schools and kindergartens in places of compact residence of small peoples of the Russian North. They are created to preserve the languages, original culture and traditions of small peoples. In the near future, two more schools may appear, this issue is being worked out in the Ministry of Education and Science of the Sakha Republic (Yakutia) and two municipalities.
Generating Synthetic Video Sequences by Explicitly Modeling Object Motion

Recent GAN-based video generation approaches model videos as the combination of a time-independent scene component and a time-varying motion component, thus factorizing the generation problem into generating background and foreground separately. One of the main limitations of current approaches is that both factors are learned by mapping one source latent space to videos, which complicates the generation task as a single data point must be informative of both background and foreground content. In this paper we propose a GAN framework for video generation that, instead, employs two latent spaces in order to structure the generative process in a more natural way: (1) a latent space to generate the static visual content of a scene (background), which remains the same for the whole video, and (2) a latent space where motion is encoded as a trajectory between sampled points and whose dynamics are modeled through an RNN encoder (jointly trained with the generator and the discriminator) and then mapped by the generator to visual objects’ motion. Performance evaluation showed that our approach is able to control effectively the generation process as well as to synthesize more realistic videos than state-of-the-art methods.
Reversible Data Hiding in Encrypted Images Based on Image Partition and Spatial Correlation

Recently, more and more attention is paid to reversible data hiding (RDH) in encrypted images because of its better protection of privacy compared with traditional RDH methods directly operated in original images. In several RDH algorithms, prediction-error expansion (PEE) is proved to be superior to other methods in terms of embedding capacity and distortion of marked image and multiple histograms modification (MHM) can realize adaptive selection of expansion bins which depends on image content in the modification of a sequence of histograms. Therefore, in this paper, we propose an efficient RDH method in encrypted images by combining PEE and MHM, and design corresponding mode of image partition. We first divide the image into three parts: W (for embedding secret data), B (for embedding the least significant bit(LSB) of W) and G (for generating prediction-error histograms). Then, we apply PEE and MHM to embed the LSB of W to reserve space for secret data. Next, we encrypt the image and change the LSB of W to realize the embedding of secret data. In the process of extraction, the reversibility of image and secret data can be guaranteed. The utilization of correlation between neighbor pixels and embedded order decided by the smoothness of pixel in part W contribute to the performance of our method. Compared to the existing algorithms, experimental results show that the proposed method can reduce distortion to the image at given embedding capacity especially at low embedding capacity.
Effect of shifting ice flow and basal topography in shaping three-dimensional dispersal patterns, Lac de Gras region, Northwest Territories, Canada

Tracing indicator minerals and geochemical pathfinders in glacial sediments back to their up-ice source is a common mineral exploration approach in prospective, formerly glaciated regions. In this study, we utilize surface and subsurface data from the Lac de Gras area of the Northwest Territories to develop a three-dimensional understanding of till compositional anomalies emanating from two known kimberlite pipes, DO-18 and DO-27. Specifically, this study examines the three-dimensional shape of dispersal trains as defined by geochemical pathfinder elements and kimberlite indicator minerals shed from a pair of kimberlite pipes within a till cover of variable thickness. From our ninety-four reverse circulation boreholes (n = 251 till samples), and other publicly-available geologic datasets, we have reconstructed bedrock topography, till thickness, and the subsurface geometry of two dispersal trains. Utilizing our three-dimensional dataset, we have documented the role of basal topography in creating dispersal patterns with contrasting geometries from two adjacent kimberlites, as well as in the preferential preservation of older till units. The combination of field observations of ice-flow indicators and till compositional data demonstrates that features produced by multiple ice flows are preserved in both the erosional and depositional records in this region. Three-dimensional dispersion patterns of kimberlite indicators reflect the effect of shifting ice-flow direction with respect to slope aspect of bedrock topography in governing compositional variability within glacial drift. Our findings suggest that surficial data do not capture the full extent of dispersion patterns even in areas of relatively thin and discontinuous till cover.
Design and Implementation of Campus Competition Information Sharing Platform Based on Android

At present, the market share of the Android system in the smartphone operating system has reached 90%. In view of the limitations of the existing sharing platform for campus competition information, a campus APP, which integrates competition and activity information release, information sharing and interrogative interaction, is put forward. In this paper, the overall architecture design, function module design, database design and RESTful API design are carried out. The Java language and MVP pattern are used by Android part. Python language, RESTful architecture and ORM technology are used at the backend to realize the information of publishing competition information, the list of competition information, the information of search competition and the management of competition information. The platform is running on the North Campus of Guizhou University, the current operation situation is well.
Design of Robot for Scrambling on Tree and Clutching Fruit Using Foundary Design

The advancement in nature has prompted the presentation of very effective organic systems. Emulating these instruments offers gigantic possibilities for the change of our life and the apparatuses we utilize. Nowadays, the robot is biggest mechanism that is used for each and every process as it has the gripper assembly designed uses a flexible casing which grasps the tree trunk of almost all diameter within the predefined range, basically it uses passive compliance. This mechanism can be used for climbing trees which are almost height like coconut trees and poles. The main drawback is being slow and there is a possibility of damaging the tree trunk. Hence this system propose a new tree climbing mechanism for multi tree climbing robot that can be used to climb trees that are almost straight and height.
Advanced ground freezing method and its applications in underground construction

During underground construction works in complex geological environment, special ground improvement techniques have to be used. One of them is artificial ground freezing (AGF). It can be applied in diverse projects in dense populated urban areas that place constraints on an application of other ground improvement methods. In Russia in the late 1980 th was developed one new method of ground freezing. It uses solid carbon dioxide (SCD) that is loaded directly into freeze pipes, where it sublimates. As the result, the quite low temperature of freezing can be achieved easily. In this article are discussed several first application cases of this method. The results of these projects allow SCD freezing became widely used ground improvement method in Russia.
Software Requirements for an Ultra Large Scale System to Compute Multi Dimension Mean Failure Cost

In previous work, we presented a quantitative cyber security risk assessment model that quantifies the security of a system in financial terms. Our model assesses the cost of the failure of an information system security with regards to threats dimensions. In this assessment, we consider that the threats world can be divided into several threats dimensions and perspectives. In this paper, we discuss the specification and design of an automated tool that manage and maintains information that pertains to estimating the security risk supported by our risk assessment model.
Uranus: Congestion-proportionality among slices based on Weighted Virtual Congestion Control

Modern data centers are the host for multitude of large-scale distributed applications. These applications generate tremendous amount of network flows to complete their tasks. At this scale, efficient network control manages the network traffic at the level of flow aggregates (or slices) who need to share the network with respect to operator’s proportionality policy. Existing slice scheduling mechanisms can not meet this goal in multi-path data center networks. Hence, in this paper, we aim to fulfil this goal and satisfy the congestion proportionality policy for network sharing. The policy is applied to the traffic traversing congested links in the network. We propose Uranus, a novel slice scheduler based on a combination of flow-level control mechanisms. The scheduler implements two-tier weight allocation to individual flows. Then, relying on a non-blocking big switch abstraction, slice weights are allocated at the inter-rack level by aggregating the weights of rack-to-rack flows. Finally, Uranus can dynamically divide the rack-level weight to its constituent flows. We also implement Weighted Virtual Congestion Control (WVCC), an end-host shim-layer that enforces weighted bandwidth sharing among competing flows. Trace-driven NS3 simulations demonstrate that Uranus closely approximates the congestion-proportionality and is able to improve the proportional fairness by 31.49% compared to the state-of-the-art mechanisms. The results also prove Uranus’s capability of intra-slice scheduling optimization. Moreover, Uranus’s throughput in Clos fabrics outperforms the state-of-the-art mechanisms by 10%.
BaroTouch: A Technique for Touch Force Sensing Using a Waterproof Device's Built-in Barometer

We present BaroTouch, a technique that leverages a waterproof mobile device's built-in barometer to measure the touch force. When an airtight waterproof device is touched, the distorted surface changes the air pressure inside that device and thus changes the built-in barometer value. BaroTouch estimates the touch force with a simple conversion from the air pressure to the touch force; it does not need machine learning. In addition, BaroTouch is a passive sensing technique. Therefore, BaroTouch could be lightweight. To investigate BaroTouch, we conducted two experiments. First, we investigated the relationship between the sensor value and the touch positions or forces using weights with three devices: two smartphones and a smartwatch. Second, in a controlled user study with 15 participants, we examined how the users can use BaroTouch. The results showed that the participants could exert 2-6 levels of the touch force with accuracies of over 96% accuracy under each device using BaroTouch.
Access Control Challenges in Enterprise Ecosystems

There is an increasing gap between the needs of modern, complex, and distributed environments in regards to control of access to data and the level to which classical access control solutions can fulfill those needs. The purpose of this chapter is to highlight the current state of art of existing research over access control in increasingly decentralized environments and to argue how the subject of access control is more relevant than ever before, with increasing research opportunities emerging. In this chapter, the authors analyze the current state of the art of access control mechanisms and systems over decentralized applications with a focus on enterprise ecosystems, analyze the current challenges and opportunities that the new technological landscape offers, specifically over the application of blockchain-based technologies in access control, and propose new research directions for the future.
Probabilistic Analysis of Differential Fault Attack on MIBS

We propose a new method of differential fault attack, which is based on the nibble-group differential diffusion property of the lightweight block cipher MIBS. On the basis of the statistical regularity of differential distribution of the S-box, we establish a statistical model and then analyze the relationship between the number of faults injections, the probability of attack success, and key recovering bits. Theoretically, time complexity of recovering the main key reduces to 22 when injecting 3 groups of faults (12 nibbles in total) in 30,31 and 32 rounds, which is the optimal condition. Furthermore, we calculate the expectation of the number of fault injection groups needed to recover 62 bits in main key, which is 3.87. Finally, experimental data verifies the correctness of the theoretical model.
A new family of optimal FHS sets with composite lengths

In frequency-hopping spread spectrum systems, frequency-hopping sequences (FHSs) are widely used to alleviate the interferences caused by the hits of frequencies. In this paper, based on the Zeng–Cai–Tang–Yang cyclotomy and the Chinese Remainder Theorem, a family of FHS sets with composite lengths is constructed and the Hamming correlations of the new FHS sets are derived by some basic properties of cyclotomic numbers. The results show that the proposed FHS sets are optimal with respect to the Peng–Fan bound. Furthermore, it generalizes some earlier cyclotomic constructions of optimal FHS sets and produces optimal FHS sets with new parameters which are not covered in the literature.
Inter-path Diversity Metrics for Increasing Networks Robustness Against Zero-Day Attacks

Availability of alternate attack paths to an adversary challenges the administrator’s decision of focusing on the single attack path for network hardening. Such single path-based hardening solutions do not stop or deter an adversary from incrementally compromising the network. It is because today’s adversaries are capable of taking alternate attack paths during real-time network intrusion. To evaluate the robustness of a network against the zero-day attacks, researchers have proposed diversity-based metrics. However, there is no way to find out how much portion (in terms of the number of vulnerabilities) an attack path shares with the other available alternate path(s). To what extent they do overlap? To what degree they are unique? In this paper, we propose inter-path diversity metrics namely uniqueness and overlap, to address the said issue. Our objective is to evaluate the quality of each attack path in terms of the resistance posed by each of them during network intrusion. Uniqueness measures the quality of being the novel attack path. Such a novel attack path(s) poses more resistance to the adversary. On the contrary, the overlap measures the degree of overlap in terms of shared resources, attack tools, and techniques, etc., of an attack path with the other paths. Attack paths with highest overlap score act as the focal point for network hardening. We have presented a small case study to demonstrate the applicability of the proposed metrics. The usage of the proposed inter-path diversity metrics generates actionable knowledge that can be utilized for making enterprise network more robust against the zero-day attacks.
Discrete-time sliding mode observer for the state estimation of a manoeuvring target

This article addresses the problem of estimating the position, velocity, and acceleration of a manoeuvring target from noisy position measurements. A discrete-time sliding mode observer is designed to handle unmeasured disturbance input and measurement noise. A first-order linear dynamics is considered for target acceleration. The acceleration input command and the pole of the first-order acceleration dynamics are considered to be unknown parameters with known upper bounds. A finite non-zero boundary layer is employed to reduce the chattering phenomenon typically associated with sliding mode observers. Analysis of estimation error dynamics is presented for the case where the discrete-time sliding mode observer is operating outside the boundary layer and also within the boundary layer. An algorithm is developed for obtaining the observer gain vector that guarantees the stability of the error dynamics. Numerical simulations and experimental results are presented to validate the stability and performance of the proposed observer.
Competence-oriented approach in the system of higher education: history, current state and development prospects

The monograph analyzes the specificity of the historical formation of a competence-oriented approach abroad and in Russia, discusses the features of assessing the level of formation of students 'competencies in domestic and foreign universities, examines the problems of certification and forecasts the development trends of the system of assessing students' competencies. The paper presents the competence model of vocational training of students, future graduates of higher education institutions. The monograph is intended for a wide range of readers, teachers, students, post-graduate students who are interested in the problems of a competence-oriented approach to learning in the educational space of higher education.