Reviewerly/exHarmony huggingface dataset:
Modelling the Dynamics of Trust Across a Cloud Brokerage Environment

The globalised nature of cloud computing presents us with new challenges towards the development of effective business relationships across a dynamic service ecosystem. While availing of additional service capabilities, organisations are tasked with managing unfamiliar relationships with unfamiliar cloud service providers to generate increased business value. This calls for more attention towards the concept of trust within a cloud service environment. Cloud computing presents new economic and flexible business and technological models which supports the co-creation nature of service quality and ultimately business value. This research examined various methods to assess service quality and service capability assessment. During the course of this work, the author has identified the need to revisit the concept of ‘trust' within a cloud computing context and prescribe a method to model its complexity. The objective of this paper is to argue that, while cloud computing allows organisations to avail of increased service capabilities; it challenges the concept of trust. To support this argument the author presents the Cloud Services Trust Model to explain the dynamics of trust. In doing so, it introduces a notion of a distributed relational structure in service value co-creation. The paper also draws on theoretical developments to highlight the fundamental changes in the nature of service provision and how they impact on the assessment of service value and service quality. The author supports the need for greater transparency in the move towards greater accountability in the cloud ecosystem. The paper applies social network analysis (SNA) to model the trust relationships of a cloud brokerage environment.
Shaping Curricular Guidelines for Associate-Degree Cybersecurity Programs

As projections of the shortage of cybersecurity workers grow, the spotlight is on cybersecurity education. In December of 2017, the Joint Task Force on Cybersecurity Education published Cybersecurity Curricula 2017: Curriculum Guidelines for Post-Secondary Degree Programs in Cybersecurity (CSEC2017), representing a new discipline in ACM's Computing Curricula Series. Now the ACM CCECC (Committee for Computing Education in Community Colleges) is leading creation of a similar set of guidelines for two-year cybersecurity programs at the associate-degree level, called CSEC2Y. The CSEC2Y task force of community college educators presented and released the initial draft, called StrawDog at a special session at SIGCSE 2019. A survey seeking public feedback from educators, professionals, and global advisors collected feedback and input on the StrawDog draft. A second draft, called IronDog, will be available by mid-July. In this poster, survey results from the first draft, and the most recent draft will be presented for feedback and critique by the international community.
Insurance

Cyber insurance provides users a valuable additional layer of protection to transfer cyber data risks to third-parties. An incentive-compatible cyber insurance policy can reduce the number of successful cyber-attacks by incentivizing the adoption of preventative measures in return for more coverage and the implementation of best practices by pricing premiums based on an insured level of self-protection. This chapter introduces a bi-level game-theoretic model that nests a zero-sum game in a moral-hazard type of principal-agent game to capture complex interactions between a user, an attacker, and the insurer. The game framework provides an integrative view of cyber insurance and enables a systematic design of incentive-compatible and attack-aware insurance policy. The chapter also introduces a new metric of disappointment rate that measures the difference between the actual damage and the expected damage.
A Hybrid Approach for Facial Expression Recognition Using Extended Local Binary Patterns and Principal Component Analysis

Facial feature extraction and recognition plays a prominent role in human non-verbal interaction and it is one of the crucial factors among pose, speech, facial expression, behaviour and actions which are used in conveying information about the intentions and emotions of a human being. In this article an extended local binary pattern is used for the feature extraction process and a principal component analysis (PCA) is used for dimensionality reduction. The projections of the sample and model images are calculated and compared by Euclidean distance method. The combination of extended local binary pattern and PCA (ELBP+PCA) improves the accuracy of the recognition rate and also diminishes the evaluation complexity. The evaluation of proposed facial expression recognition approach will focus on the performance of the recognition rate. A series of tests are performed for the validation of algorithms and to compare the accuracy of the methods on the JAFFE, Extended Cohn-Kanade images database.
Integral cognitive tasks as a means of schoolchildren’s meta-subject competences development and evaluation

The paper is devoted to the urgent problem of schoolchildrens meta-subject competences development, which requires optimal methodological approaches identification and specific teaching tasks development. The authors, on the basis of a categorical-conceptual apparatus analysis of a competence-based approach to learning, identify and analyze characteristic features of didactic means used for these competences development. The paper discusses a possibility of integral cognitive tasks use as a means of schoolchildrens meta-subject competences development for teaching natural science subjects, in particular, Chemistry. The paper also presents principles for integrated cognitive tasks development, contains their characteristics as well as examples of such tasks. An important condition for meta-subject competences evaluation is the choice of tools that allow them to carry out a comprehensive diagnosis. The authors have shown that it is possible to use integral cognitive tasks for assessing the level of schoolchildrens meta-subject competences development. They also provide diagnostic tools and present an example of task assessment. The paper discusses meta-subject results; their achievement is possible when teaching Chemistry at a secondary school, an attempt is made to correlate them with meta-subject competences. The results of an experimental test allow us to speak about the effectiveness of the developed system application at a secondary school if integral cognitive tasks are used as a complex in the educational process.
Deep Graph Matching Meets Mixed-Integer Linear Programming: Relax at Your Own Risk?

Graph matching is an important problem that has received widespread attention, especially in computer vision. Recently, several state-of-the-art methods have sought to incorporate graph matching with deep learning. However, there is no research to explain the role of the graph matching algorithm in the model. Therefore, we propose integrating a MILP formulation of the graph matching problem into the deep learning architecture. This formulation is solved to optimal, and it provides an inherent baseline. Meanwhile, similar approaches are derived by releasing the optimal guarantee of the graph matching solver and by introducing a quality level. This quality level controls the quality of the solutions provided by the graph matching solver. In addition, several relaxations of the graph matching problem are put to the test. Our experimental evaluation gives several theoretical insights and guides the direction of deep graph matching methods.
Algebraic Semantics of AAS, a Prelude

Towards algebraic interpretation of NF(C), it is shown how the underlying order structure of an order model induces a partial algebra which may be expanded to make the interpretation of NF(C) possible. On the other hand, it is shown that-under some conditions-a partial algebra induces an order structure. Interrelationships are discussed.
Technology

This chapter considers one of the main components of the environment in which the information-processing takes place—technology and its application—and information technology (IT) is obviously of central importance. The main effects of IT are identified, as are its extent and economic significance in today’s society.
Experiences With a Research Product

This chapter discusses challenges related to studying the use and usefulness of research products (robust, high fidelity prototypes placed in real use contexts for research purposes). Methods and methodologies for studying use and usefulness of such research products embedded in users' everyday lives are still lacking and need to be better established. By presenting a case of such research product in use, a robot avatar, we wish to illustrate how new knowledge of relevance for both designers and users can be gained. The robot avatar was designed to represent chronically ill adolescents at school, improving his/hers learning opportunities, as well as helping maintain social connections with peers. The chapter shows how methods were adapted and tools designed to work with this user group and learn about the role of avatars in education and reduction of social isolation. The value of using the avatar, and similar research products, is considered.
Cognitive and Psychological Factors in Cross-Language Information Retrieval

While a lot of research has focused on the effectiveness of system functionality, few studies have examined information needs and social aspects related to cross-language information retrieval. This chapter aims to speculate the human and social aspects of cross-language information retrieval. It explores CLIR users' unique social and cultural contexts, their psychological and cognitive structures, and their distinctive relevance judgment. It examines in depth the barriers embedded in cultural, linguistic, and cognitive dimensions, which might hinder further advancement in cross-language information retrieval.
Digital Citizenship for All

Digital literacy is important, particularly for young people as they prepare for college and a career in modern society. From computer-based tests used to measure student progress on college applications and online job applications, the transition to college and career requires the use of technology. Individuals must have digital literacy skills to fully participate and contribute on the job and at school. This includes people with disabilities. These young adults have aspirations for jobs and higher education just like others their age and therefore deserve to be taken seriously. This article is a review of literature that explores what it means to be digitally literate, the digital literacy experience for young adults with disabilities, and the implications for education and the workplace. It also proposes instructional solutions to aid in the preparation of young adults for college and career.
Agile Methods in the German Banking Sector – some evidence on expectations, experiences and success factors

The importance of agile methods has increased in recent years, not only to manage software development processes but also to establish flexible and adaptive organisational structures, which are essential to deal with disruptive changes and build successful digital business strategies. This paper takes an industry-specific perspective by analysing the dissemination, objectives and relative popularity of agile frameworks in the German banking sector. The data provides insights into expectations and experiences associated with agile methods and indicates possible implementation hurdles and success factors. Our research provides the first comprehensive analysis of agile methods in the German banking sector. The comparison with a selected number of fintechs has revealed some differences between banks and fintechs.We found that almost all banks and fintechs apply agile methods in IT-related projects. However, fintechs have relatively more experience with agile methods than banks and use them more intensively. Scrum is the most relevant framework used in practice. Scaled agile frameworks are so far negligible in the German banking sector. Acceleration of projects is apparently the most important objective of deploying agile methods. In addition, agile methods can contribute to cost savings and lead to improved quality and innovation performance, though for banks it is evidently more challenging to reach their respective targets than for fintechs. Overall our findings suggest that German banks are still in a maturing process of becoming more agile and that there is room for an accelerated adoption of agile methods in general and scaled agile frameworks in particular.
Inclusion of Users with Special Needs in the Human-Centered Design of a Web-Portal

Human-Centered Design focuses on the analysis, specification and involvement of a product's end users as driving elements in the design process. The primary research objective of the case-study presented in this paper is to illustrate that it is essential to include users with special needs into all major steps of designing a web-portal that provides services to these special users. But how can this be accomplished in the case of users with special cognitive and affective needs? Would the “classical” Human-Centered Design Process (HCD) be sufficient or would it need to be adapted and complemented with special procedures and tools? In this paper the design team shares the strategies they adopted and the experiences they gained by including users with dyslexia in the design of the LITERACY Web-Portal. Besides providing insight into the special effort and steps needed to adapt HCD for users with special needs, the paper encourages application designers to include end-users even though - or particularly because - they have needs that are special and critical for the adoption of the product.
Breaking the barrier of communication between disabled and non-disabled people

Nonverbal communication involves the use of different body parts to convey a message. Body movements or movements of the hand, face, lips, or other body parts are considered gestures. People with different abilities, mainly the deaf and dumb, have a hard time conversing with other people. Such people can communicate effectively by using sign language, a form of communication that has been developed specifically for them. Hand gestures can be used as a form of sign language. Even though it solves the problem, a non-disabled person may have difficulty understanding those sign languages. In this paper, we propose a method to solve this problem by converting the gestures used in sign language into alphabets and joining them to form words that can be identified by a person who is not aware of sign language. The system can recognize one-handed sign representations of the standard alphabets (A–Z) and numeric values (0–9). Using OpenCV, we manage to capture the gesture which is then sent to our trained deep learning model. Furthermore, if a gesture is recognized as an image, our model will predict the most appropriate gesture, based on our model’s prediction.
Native vs. Hybrid Mobile Applications as Society Enters the Internet of Things

For nearly two decades, desktops dominated as the primary means of accessing the internet until 2007, the era of mobile phones with touchscreens capability entered the market by Apple Inc. Currently, the high demand of accessibility and mobility through mobile technology is adding more pressure on application developers leaving them to focus more on “meeting deadlines than application security,” which is a critical component as hybrid applications play a significant role in the advancement of IoT and cross-platform compatibility. New technologies are adopting unresolved security issues from the latter. This article aims to initiate discussions within the development and research community regarding hybrid mobile app security, market, role in IoT, advantages, disadvantages, security challenges and the best practices as society enters into a new paradigm envisioned as a ubiquitous global network.
Access to Research Online

The world is hungry for knowledge and quickly-producing researchers of varying caliber who are less dependent on the physical space than ever before. This presents a number of challenges to librarians, out of which issues related to technology stand out prominently. How can the library pave roads to curated digital content and make it easily accessible from any location? How does it remain relevant in the age of Google, sophisticated piracy and the open access movement? The chapter begins with an overview of IP-based and federated access technologies, touching on less-used methods as well. Personally-conducted interviews with library industry experts aim to determine current trends in order to provide a collective insight into future developments. These include the widespread migration towards cloud-based services, the global RA21 initiative, the open access movement, the need for better statistics, and new ways of content delivery, all of which affect libraries' demands for remote access in different ways.
An Analytical Study of Graphical Password Authentication System

Normally for human psyche it is difficult to recollect text based secret phrase. Text based passwords are not difficult to figure on the grounds that the utilization of general arrangement of numbers, character and unique image, for that reason we carried out the Graphical Password Authentication System. In that we had utilized Image based and Pair based confirmation framework. First and foremost in Imaged based secret key client can pick pixels on that picture as secret key. For each picture just a single pixel is chosen. After choice one pixel change the picture select second pixel from second picture correspondingly clients select three pixels. In pair based secret key, client picks characters from sections and columns all the while from the matrix then, at that point getting that convergence point as a secret key. We have given rearranging choice to exchanging character arrangement it assists with forestalling the shoulder enduring assault, so we have improved security by utilizing PCCP and Imaged based secret key framework which having capacity of shield from the assailant, wafers and so.
Introduction to Graph Colouring

In mathematics, a graph can be thought of as a set of objects in which some pairs of objects are connected by links. The interconnected objects are usually called vertices and the links connecting pairs of vertices are called edges. Graphs can be used to model a surprisingly large number of problem areas, including social networking, chemistry, scheduling, parcel delivery, satellite navigation, electrical engineering, and computer networking.
The Adoption and Transformation of Capability Maturity Models in Government

Capability maturity models (CMM), an outgrowth of the decades-old quality movement, and originally developed by Carnegie Mellon University's Software Engineering Institute for the US Defense Department in the 1980s as a way to improve software engineering, has become the inspiration for similar models addressing every aspect of public management by governments around the world. CMM posits several evolutionary stages that organizations must pass through to achieve increasingly higher levels of capability in achieving quality. Stages are determined by research evidence, expert opinion, best practices, and evaluations. While CMM has produced some impressive gains, it has drawn criticism for lacking a theoretical underpinning, exorbitant costs, being somewhat subjective, and lack of success in many organizations. The field has no universal agreed upon standards, so it may be necessary to create an organization to study and vet various CMM applications. The field as it matures presents an excellent opportunity to study public management in the context of organizations employing CMM.
PSSBP: A Privacy-preserving Scope-query Searchable Encryption Scheme Based on Blockchain for Parking Lots Sharing in Vehicular Networks

Parking has been a big problem in metro cities. On one hand, it is very difficult to find a public parking lot in convenience. On the other hand, a lot of private parking lots are at waste while their owners are at work. Parking lots sharing emerged to address this issue. It allows more parking choices on the drivers side, while brings economic benefits on the parking lots side. In this paper, a privacy-preserving scope-query searchable encryption scheme based on blockchain (PSSBP) is proposed for parking lots sharing in vehicular networks. PSSBP manipulates dynamic group signatures, Cuckoo filter, Pedersen commitment and smart contract to achieve privacy-preservation and fairness. The security analysis and experimental results show that PSSBP is feasible for parking lots sharing in real life environments.
Building OLAP Cubes From Columnar NoSQL Data Warehouses

In the big data warehouses context, a column-oriented NoSQL database system is considered as the storage model which is highly adapted to data warehouses and online analysis. Indeed, the use of NoSQL models allows data scalability easily and the columnar store is suitable for storing and managing massive data, especially for decisional queries. However, the column-oriented NoSQL DBMS do not offer online analysis operators (OLAP). To build OLAP cubes corresponding to the analysis contexts, the most common way is to integrate other software such as HIVE or Kylin which has a CUBE operator to build data cubes. By using that, the cube is built according to the row-oriented approach and does not allow to fully obtain the benefits of a column-oriented approach. In this chapter, the main contribution is to define a cube operator called MC-CUBE (MapReduce Columnar CUBE), which allows building columnar NoSQL cubes according to the columnar approach by taking into account the non-relational and distributed aspects when data warehouses are stored.
Logic and Reasoning

The interrelations among logic, reasoning, and creative thought are explored in this chapter. The common distinction of convergent and divergent thinking is used to organize several relevant logical and reasoning processes, such as deductive, inductive, and relational reasoning, as well as dimensions of divergent thought such as fluency, originality, elaboration, and flexibility. After delineating each of these mental processes, some existing work that examines the relations among them (e.g., the threshold hypothesis) is reviewed. The way convergent and divergent thinking processes work together to support creative problem-solving is discussed, and future directions in this line of research are forwarded.
User-Oriented Video Streaming Service Based on Passive Aggressive Learning

The authors propose a method to dynamically determine appropriate quality of service (QoS) required by users for video streaming services. In the proposed method, the video bit rate as the QoS parameter is determined based on the passive aggressive learning, which is an online learning algorithm for a regression problem, according to the user requirements, computational/network resources and service provisioning environments. Moreover, the method makes it possible to provide appropriate QoS by using optimization solution. In this paper, the authors describe the design and implementation of the method, then confirm the feasibility of the proposed method through the experiments.
Conclusion and Future Work

Unlike current classical computers, a quantum computer promises efficient processing capability for certain computational problems [1–3].