Reviewerly/exHarmony huggingface dataset:
Demographics, Socio-Economic and Cognitive Skills as Barriers to Information Seeking in a Digital Library Environment

The chapter considers the importance of demographic and socio-economic factors as well as cognitive skills to information seeking in a digital library environment. Demographic factors such as age and gender were considered. Younger adults were found to respond positively to the demands of information seeking in the digital environment while their older counterparts are still struggling to come to terms with the changes. In the same vein, studies have revealed that the value placed on technology by men and women varies. While men express high level of confidence in navigating the digital environment, women still suffer low self-confidence in doing same. Identified socio-economic factors that also constitute a barrier to information seeking in a digital environment include income level, level of education, non-availability of ICT infrastructures and epileptic power supply especially in Africa among others. Unwillingness to see one's needs as information needs, inability to articulate one's information needs, unawareness of information sources, low self-efficacy, poor search skills among others were identified as cognitive barriers to information seeking in the digital environment. Based on the findings of this chapter, the study recommends that for persons who are adjudged to be the older generation, it is imperative for them to acquire requisite ICT skills that will make it easier for them to navigate the digital environment. There is also a clarion call on African leaders to provide infrastructures that will enable ICT to thrive as the digital environment is fast replacing the hitherto traditional one.
Relation Artefacts Type II

This chapter is about relation artefacts type II, which are socio-technical ideation sketches. These are presented as a design movement with three sub-types of Type II from the technical to the social. This begins with interaction design patterns, then do collaborative sketching, and finally converge on new workflows. They are explained with reference to the HWID platform and illustrated with examples of how to sketch interaction and collaboration concepts for workplaces. Novel approaches for supporting designers in sketching algorithms, such as alternative machine learning approaches to the same problem, are discussed. Ways of evaluating sketches from a work analysis and organization perspective are introduced. The chapter ends with a summary of how to sketch alternative solutions for interaction design in a complex work domain. A design case with a simple folder design for a complex work environment that illustrates the relation artefact Type II is presented.
Fusing Culturally Responsive Teaching, Place Conscious Education, and Problem-Based Learning With Mobile Technologies

Students must be provided meaningful learning opportunities to employ content through active learning opportunities that capitalize their interests (mobile technologies), fuse real life issues (problems that they face in school or local community), and sustain their curiosity (creative learning experiences). Using mobile technologies for culturally responsive, problem based learning is a powerful and unique way to prepare students for the four C's: critical thinking, communication, collaboration, and creativity. This chapter provides theoretical and practical support of the innovative impact of using mobile technologies in student selected, problem focused learning.
Image Representation

In the materials research, material characterization is an important step to probe and measure the structures and properties of materials from experiments. Imaging instruments play a vital role in material characterization because of their unique and irreplaceable ability to reveal the microstructures of a material. Material scientists has exploited various kinds of imaging instruments to understand a material’s microstructures and infer the material’s properties. This chapter summarizes the imaging instruments specialized for material research and explains the mathematical representation of the resulting material images, which will be useful in subsequent analysis.
Using Containers and Type Classes

You have seen how parametric polymorphism and higher-order functions help in the process of abstraction. In this chapter, I’ll introduce a new kind of polymorphism that sits in between parametric and the absence of polymorphism: ad hoc polymorphism. Using this feature, you can express that certain types exhibit a common behavior. Incidentally, you will also learn how Haskell makes it possible to use addition, (+), on different numeric types like Integer and Float while maintaining a strong type system.
Classifying Behaviours in Videos with Recurrent Neural Networks

This article describes how the human activity recognition in videos is a very attractive topic among researchers due to vast possible applications. This article considers the analysis of behaviors and activities in videos obtained with low-cost RGB cameras. To do this, a system is developed where a video is input, and produces as output the possible activities happening in the video. This information could be used in many applications such as video surveillance, disabled person assistance, as a home assistant, employee monitoring, etc. The developed system makes use of the successful techniques of Deep Learning. In particular, convolutional neural networks are used to detect features in the video images, meanwhile Recurrent Neural Networks are used to analyze these features and predict the possible activity in the video.
Activity

When addressing IT audit planner responsibilities, the in-charge IT auditor must inscribe and communicate an engagement's objectives, ambit, and examinable units based on an obtained audit area understanding. Through synthesizing relevant audit standards and guidelines as well as professional experience, Chapter 2 presents crucial outputs for completing the IT audit planning process. Chapter 2 discusses issues related to planned compliance and substantive testing and then provides primary documentation requirements of an operational IT audit plan. Chapter 2 also presents IT audit planner tasks when conferencing with the engagement auditee(s) and associated communication distribution.
Necessity of Key Aggregation Cryptosystem for Data Sharing in Cloud Computing

Cloud computing is one of the most exciting technologies due to its ability to increase flexibility and scalability for computer processes, while reducing cost associated with computing. It is important to share the data securely, efficiently, and flexibly in cloud storage. Existing data protection mechanisms such as symmetric encryption techniques are unsuccessful in preventing data sharing securely. This article suggests Key aggregate cryptosystem which produce constant size ciphertexts in order to delegate decryption rights for any set of ciphertexts. The uniqueness is that one can aggregate any number of secret keys and make them as compact as a single key. This compact aggregate key can be easily sent to others with very limited secure storage.
Medco

In emergency cases the delay in receiving the necessary pre-hospital care results in a large number of deaths every year. Providing appropriate preliminary care, along with proper time management and pre-hospital management can contribute to a better survival rate. Here the authors propose a portable system which transmits the vital parameters to the health care center along with the images of the patient, also availing the patient's Personal Health Record to the doctor, thus bridging the gap between the hospital and the ambulance and “virtually” bringing the doctor to the ambulance, thereby allowing him to diagnose the patient remotely and as accurately as possible. The paper puts a glance on rapidly developing field of Tele-medicine while proposing a system to overcome infrastructure inadequacies, which hamper the efficient use of Tele medicine systems (more specifically emergency tele-medicine) and provide better health care facilities in various medical situations, specifically those pertaining cases of burns, fatal wounds, head injuries, pregnancy and other such emergencies.
Enhanced Lightweight Model for Detection of Phishing URL Using Machine Learning

In the past few years, many forged sites are created on the Internet to impersonate genuine websites, with the goal of acquiring sensitive and valuable information from the people and firms. Such type of attack which is carried online is known as phishing, and it continues to carry serious threats for consumers and business and the many shareholders’ hundreds of million dollars. Many cyber intrusions are successful through phishing. Phishing attacks are the attacks wherein Internet users are fooled by disguising a fake website as a legitimate website. As technology progresses, the phishing detection methods need to get advanced and there is a terrible requirement for improved mechanism to avoid, check, as well as detect these phishing attacks. Thus, useful remedial and preventive measures that can precisely find out phishing sites are a machine learning approach. Machine learning (ML) is a current tool for data analysis and lately has revealed capable leads in fighting phishing problems. Although many varieties of classification algorithms for detecting phishing are proposed, examined, and analyzed in many papers, it observed that advanced and depth of phishing threat are being continuously increased at steady rate. In this paper, we project a new method called enhanced lightweight model for phishing site detection. We further suggest the use of various URL features and boosting algorithm. We will analyze and examine the impact of boosting algorithm against the performance of other classification algorithms to find better result.
Reformation and Exploration of Practical Teaching in New Generation of Information Technology Related Majors Based on Online Practice Teaching Platform

Under the background of the integration of science and education, to meet the needs of a new generation of information technology-related majors innovative practice teaching demand for diversified experimental environments and experimental teaching resources, an online practice teaching platform based on Kubernetes was planned and constructed, and a platform is provided for teachers to convert scientific research achievements into teaching materials relying on the online practice teaching platform. It also provides students with large-scale distributed experimental resources allocated according to their needs. The online practice teaching platform adopts a distributed architecture deployment, and uses advanced container orchestration technology to construct a student’s experimental environment. Through the use of the online practical teaching platform, the level of practical teaching management has been improved, and the scientific, humanized and intelligent management of practical teaching has been realized.
Universal Hashing

Generally, you cannot assume that your application can produce uniformly distributed keys; the hash functions in Chapter 6 are only heuristics. They make no guarantees about the results of hashing application keys and thus risk pathological cases where operations are linear rather than constant.
Risk Management in the Era of Blockchain

This chapter intends to document the various ways that the nascent technology, blockchain, and other forms of distributed ledger technology (DLT) can provide both increased and decreased risk as well as offer FinTech industries a fertile environment to pursue key technological advancements that can help shape almost every facet of the financial world. Issues of trust, transparency, and privacy will be explored as it pertains to the execution of blockchain technology within financial sectors. Strengths and weakness will be explored within regulations, legal environments, risk management, and the environment. Based on the findings of a comprehensive literature review, possible solutions and recommendations will be provided for governmental agencies, regulators, and users of financial services with a special focus on Islamic FinTech. Future research directions will also be shared that can assist Islamic FinTech.
I.M. Kamov - an Enthusiast and an Eminent Personality of Practice-Oriented Education in Irkutsk

The article reconstructs the unknown life and activity facts about Ilya M. Kamov (1873–1942) an eminent personality of practice-oriented education in Irkutsk in the first quarter of the 20th century. The authors focus their attention on the «works and days» of the teacher dedicated to Irkutsk Industrial College and also to the City’s Commercial College and Irkutsk Industrial and Economic Institute founded on the basis of the latter, where he was Director. On the pages of this article, we can see the eminent figure of a real enthusiast oriented at practical professional education. The content of the article is beyond the scope of the historical storyline reconstructed in it. The historical events of secondary and higher professional school are considered in the wider context of the period of the so called «pragmatic» turn in pre- and post-revolutionary Russian education, which meant submission of the country’s educational policy to the needs of modernization and, namely, of industrialization. Even the professional activity of the main character of the article reflects the clear line of institutional thinking of practice-oriented education development of that period from technical education to commercial one with their subsequent amalgamation in the framework of industrial and economic education, on the one hand, and from secondary professional to higher education, on the other hand.
The Two-Dimensional CCSMM

The community cyber security maturity model (CCSMM) defines four dimensions and five implementation mechanisms in describing the relative maturity of an organization or an SLTT's cybersecurity program. These are used in defining levels of maturity and the cybersecurity characteristics of an organization or SLTT at each level. In order to progress from one level to the next, a variety of activities should take place, and these are defined in terms of five different mechanisms. In between two levels are a variety of activities that should take place to help the entity to advance from one level to the next. These groups of activities describe four phases, each of which takes place between two levels. Thus, Phase 1 defines the activities that should occur for an entity to advance from Level 1 to Level 2.
Children’s philosophy and teaching philosophy to children

From an early age, children ask philosophical questions, there is a phenomenon of child philosophy. Philosophy is considered as an important factor in the formation and development of personality. The article analyzes the traditional educational strategy based on the translation of ready-made, existing knowledge, as the one that doesn’t meet the needs of today Modern society sets before education the task of preparing a critically thinking subject, ready for innovations, seeking to improve his education Research education, which effectively resists the global civilizational crisis, is aimed at the formation of an independent and reflexively thinking person Given this educational strategy, teaching philosophy to children from a very young age makes it possible to make human thinking independent and socially responsible. The focus is on the problematic nature, criticality reflexivity of philosophical knowledge. The article presents philosophy as having the tools that are unique to the development of a child’s thinking abilities. ‘The Philosophy for Children’ program is being studied, in which philosophy acts as a priority discipline in teaching children intelligent thinking. It is concluded that critical thinking is not automatically formed in the course of training and methodological design of philosophy, which is at the basis of modern educational strategy, makes this task possible.
Agents in Space and Time: Fundamentals of Interactive Narrative Systems

While digital interactive narrative games are invariably narrative, there are two key distinctions between traditional text-based narratives and digital interactive narrative games that affect how the latter are constructed and how we experience them: 1) in interactive narratives the narrator agent and character agent of text-based narratives are collapsed into a singular player agent, 2) in digital interactive narrative games, spatial construction is of a higher order of importance than in text-based narratives, and it is through this shift that player agency and interactivity are created.
Face Recognition

One of the most important applications of visual pattern recognition systems is biometric identification. The need for more secure, reliable, and convenient identification methods has spurred intense research in this field as security becomes one of the most pressing issues of modern times. Apart from security, biometric authentication systems have become indispensable tools in surveillance at airports and sensitive facilities. From everyday tasks such as unlocking a cell phone to more sophisticated applications arising in forensics, banking, border control, and passport verification, the use of biometric authentication is expanding and it is likely to do so well into the future as the technology improves even further.
PageRank: A

Abstract Application: Ranking the most relevant pages in web search Topics: Finite Discrete Time Markov Chains, SLLN
The MAMICare Project

This chapter is an updated version of a previous work about the authors' project on monitoring pregnancy progress in rural areas and/or areas with poor support of medical services. The project is based on an information technology solution based on mobile devices and health sensors such as electrocardiogram, stethoscope, pulse-oximeter, and blood-glucose meter to automatically collect relevant health data for monitoring pregnancy. In this chapter, the authors provide a detailed description of the software architecture of the system. They include a description of the test they have been performing and the difficulties they have faced for the complete implementation of their system.
Getting the Best out of People in Small Software Companies

Managers of software small companies struggle to manage their software process. Therefore, for them realizing and understanding the impact of human factors on software process is even more challenging. Although human factors have been proved to have impact on software process, unfortunately they have been overlooked altogether. This paper proposes a holistic view of human factors on software process in VSE, focusing on the concerns and perceived shortcomings present. In order to identify and compare the human factors, the author carried out a systematic comparison of human factors. As a result, this study identifies the connection between software process defined in ISO/IEC 29110 and human factors given in ISO 10018 and its pertinence. In light of that, the author outlines first steps towards enhanced implementation of ISO/IEC 29110 standard based on ISO 10018.
Applying Blockchain Technology to the Art Industry: Transformation of Online Peer-to-Peer Transactions

In recent years, new businesses that employ blockchain technology have emerged worldwide. However, empirical research on the potential of this technology to bring about business transformation outside the financial industry has not progressed sufficiently. It is necessary to clarify where and how this technology can be used to transform other industries. Therefore, this study conducted multi-wave interviews with the founding members of Japanese startup Company X to describe in detail their attempts to use blockchain technology in the art industry. These interviews revealed that this new technology can be used to build a “digital infrastructure of trust” to facilitate online peer-to-peer (P2P) transactions. In addition, this study demonstrates the possibility of addressing the “dark side” of the platform business—the concentration of power in the hands of a few companies—by utilizing the features of this technology to transfer information across various marketplaces. The widespread use of blockchain infrastructure is expected to bring us closer to realizing the ideal of democratization of transactions, which is the ultimate objective of P2P platforms.
Sentiment Predictions Using Deep Belief Networks Model for Odd-Even Policy in Delhi

This paper analyzes the odd-even policy in Delhi using tweets posted on Twitter from December 2015 to August 2016. Twitter is a social network where users post their feelings, opinions and sentiments for any event. This paper transforms the unstructured tweets into structured information using open source libraries. Further objective is to build a model using Deep Belief Networks classification (DBN) to classify unseen tweets on the same context. This paper collects tweets on this event under six hashtags. This study explores three freely available resources / Application Programming Interfaces (APIs) for labeling of tweets for academic research. This paper proposes three sentiment prediction models using the sentiment predictions provided by three APIs. DBN classifier is used to build six models. The performances of these six models are evaluated through standard evaluation metrics. The experimental results reveal that the TextBlob API and proposed Preference Model outperformed than the other four sentiment prediction models.
Performance Analysis of Associate Radix-2, Radix-4 and Radix-8 Based SDF FFT

The FFT is enumerated as DFT and DFT accomplishes continuous application with constant preparing when the information is persistently taken care of through the processor. A radix-2 butterfly (R2B), R4B & R8B components based single-path delay feedback (SDF) technique, for diminishing the computational stages and for decreasing the equipment use than the R2B and R4B FFT has been included in this paper. The implemented SDF technique has single delay commutators at one stage without exception. N/2 point is consecutively controlled in consequence of delay component. The proposed technique has less number of multipliers and the more modest number of computational stages and butterfly components than the Radix-2 & 4 FFT.
New Swarm Intelligence Technique of Artificial Social Cockroaches for Suspicious Person Detection Using N-Gram Pixel With Visual Result Mining

In the last decade, surveillance camera technology has become widely practiced in public and private places to ensure the safety of individuals. Merely, face to limits of violation the private life of people and the inability to identify malicious persons that hid their faces, finding a new policy of surveillance video has become compulsory. The authors' work deals on the development of a suspicious person detection system using a new insect behaviour algorithm called artificial social cockroaches ASC based on a new image representation method (n-gram pixel). It has as input a set of artificial cockroaches (human images) to classify them (hide) into shelters (classes) suspicious or normal depending on a set of aggregation rules (shelter darkness, congener's attraction and security quality). Their experiments were performed on a modified MuHAVi dataset and using the validation measures (recall, precision, f-measure, entropy and accuracy), in order to show the benefit derived from using such approach compared to the result of classical algorithms (KNN and C4.5). Finally, a visualisation step was achieved to see the results in graphical form with more realism for the purpose to help policeman, security associations and justice in their investigation.