Reviewerly/exHarmony huggingface dataset:
Decision-Making Model to Evaluate Cloud Computing Service Model Using Analytic Hierarchy Process (AHP) and Benefits, Costs, Opportunities, and Risks (BCOR) Analysis

Background &amp; Objective: Organizations have started evaluating business applications which are on hosted model. Organizations need not to focus on choosing the deployment model or buying the hardware or setup infrastructure instead they are choosing business application which are easily available on SaaS model or platform model. Organizations are analyzing the adoption of Cloud Computing service models due to reduced the load of IT overheads and to bring agility in deploying applications. An organization should have the scientific way to choose and identify the right service model to fulfill its IT and business needs. Methods: This research paper focuses on proposing a decision model with the help of Analytic Hierarchy Process (AHP) and benefit-cost- opportunity-risk (BCOR) analysis to select the appropriate service models i.e. SaaS or PaaS or IaaS to fulfill the business needs. It suggests a range of key attributes which act as building blocks of the model based on Analytic Hierarchy Process (AHP). The model will provide the benefits, cost, opportunity and risks of cloud computing services for the three service models of cloud computing. Conclusion: This study results will be useful for organizations to adopt cloud computing service model which suites the requirements as well as rapid deployment of the applications.
Method for joint estimation for states and parameters concerning non‐linear systems with time‐correlated measurement noise

A dimensionality-reduction-augmented non-linear state–space representation has been proposed to reduce the optimisation space for maximum-likelihood estimation. Based on the above representation, an expectation–maximisation algorithm has been derived to realise joint estimation of states and parameters. During the expectation step, the system state was estimated via the use of a fifth-order cubature Kalman filter and Rauch–Tung–Striebel smoother based on the state-augmented method. During the maximisation step, unknown parameters within iterations were estimated using the Newton method. Subsequently, two joint-estimation methods – one containing all measurements and the other involving a sliding window – were developed to estimate the invariants and step parameters, respectively. An example concerning manoeuvring-target tracking has been discussed to demonstrate the performance of proposed algorithms.
Customer Advocates

Libraries grow in uncertain financial, political and cultural environments. Advocacy is essential to ensure that they get the support they need from the communities in which they operate. Advocates, those who speak out on behalf of the library, are an essential factor in the success of the organization. This article explores the possibilities of developing library users into advocates, based on a relationship marketing model. It uses customer service as the primary tool for developing trusting relationships with users so that they are willing to speak on behalf of the library. Adding the issue of reputation and advocacy as strategic outcomes of customer service requires a different way of thinking and planning. The article concludes with a call for more investigation in this area.
The impact of loops on the game of cops and robbers on graphs

In the game of cops and robbers on graphs, the cops and the robber are allowed to pass their turn if they are located on a looped vertex. This paper explores the effect of loops on the cop number and the capture time. We provide examples of graphs where the cop number almost doubles when the loops are removed, graphs where the cop number decreases when the loops are removed, graphs where the capture time is quadratic in the number of vertices and copwin graphs where the cop needs to move away from the robber in optimal play.
An invisible-stylus-based coordinate measurement system via scaled orthographic projection

We present on a simple yet effective method for creating an invisible stylus from which a non-contact 3-D coordinated measuring system (the PiCMS) is realized. This invisible stylus dubbed a Pixel Probe is created through the orthographic projection of a spherical mounted reflector (SMR) through a trifocal camera system. Through this, a single point in space that is linked to a laser tracker world frame is mapped to a unique set of pixel coordinates in the trifocal camera creating the Pixel Probe. The system is constructed through the union of a Pixel Probe, a laser tracker, and calibrated XYZ stage, and does not require contact to obtain a measurement. In the current configuration, system resolution and accuracy better than 20 μm is demonstrated on objects in the meso/micro scale that are well below the range of a laser tracker alone. A simple single-point coincidence condition allows the user to specify a measurement coordinate by pointing-and-clicking in the images captured by the Pixel Probe. We describe this system using multi-view geometry vision theory and present proof of concept measurement examples of 2-D and 3-D objects.
Bayesian Searches and Quantum Oscillators

A new LLNL Strategic Initiative is focused on developing improved methods for Bayesian inference when the input data depends on hidden parameters. Part of this effort involves investigating the idea of using an array of quantum oscillators (viz., microwave cavities) as an analog computer for implementing Bayesian model selection. The practical motivations are twofold: (1) Bayesian model selection problems are often intractable using conventional digital computers and (2) quantum information processing may allow detection of weak analog signals below the usual quantum noise threshold.
ICTs and Cultural Promotion in Africa

Digital technologies have, in recent times, become key tools for cultural promotion and preservation in various parts of Africa. A number of interesting cultural projects are today created in most Black African countries to promote specific aspects of less represented cultures through digital platforms. The entities behind such projects vary from nongovernmental initiatives to government agencies and are driven by varied motives. In spite of this variety of motives, their actions indisputably aim at the same cultural vision: the promotion and restoration of various aspects of the African cultures. Hinging on empirical understandings, this chapter critically explores these digitally driven cultural projects. The chapter specifically examines the prospects and challenges of using digital technologies to promote culture in Black African countries. It addresses the following research questions: What is the state of cultural promotion in Black African countries? How are ICTs facilitating cultural activism in the continent? and What are some of the challenges faced by cultural activists in the continent?
Dynamic Generation of Documentation, Code, and Tests for a Digital Marketing Platform's API

Detailed documentation and software tests are key factors for the success of a web application programming interface (API). When designing an API, especially in a design first approach, it is relevant to define a formal contract, known as API specification. This document must contain all necessary information regarding the API behavior. Thereby, the specification can be used to dynamically generate API components like documentation, client and server code, and software tests, reducing development and maintenance costs. This chapter presents a study of OpenAPI specification and its application on designing a new RESTful API for E-goi. It also presents a set of solutions for generating documentation, client code libraries, and test cases.
D <scp>inamite</scp> : internal differential match‐in‐the‐end attack on eight‐round PAEQ

The authors explore a cryptanalysis strategy which seems to be particularly applicable to parallelisable ciphers where the key forms a part of the internal state. The proposed technique combines internal differentials with guess and determine analysis to come up with what is referred to as the match-in-the-end attack. The notion of difference here deviates from the classical differential where the difference is controllable via the plaintext/ciphertext. Here, they exploit the Hamming distance between parallel branches to devise the differential trail. They apply the strategy on full eight (out of 20) rounds of parallelisable authenticated cipher [parallelisable AE based on quadrupled AES (PAEQ)] to devise key recovery attacks with practical time complexities. They first show an initial attack on paeq-64/80/128 and then devise improvements which give us the best key-recovery attacks with time complexities of , and , respectively. While the best reported attacks on eight-round paeq-64/80/128 have a data complexity of blocks, the result improves their time complexities by factors of , and , while preserving the data complexity. Finally, they present a nonce-based differential attack which works on paeq-128-t with time complexity but uses just two single block known plaintexts making it the most practical attack on any round-reduced PAEQ variant reported so far.
Scalable Feedback of Spectral Projection for Subspace Learning

Representation based methods for subspace learning consist of two stages: Affinity learning and spectral clustering. This letter proposes a feedback strategy to softly combine the two separate stages together by simultaneously optimizing the affinity and spectral projection. The soft feedback strategy can strengthen the required block-diagonal structure of the affinity matrix for most of the existing state-of-art algorithms. Using the feedback strategy, a scalable and projection unified model is given for datasets in large scale. A fast and efficient algorithm is also given to solve this problem, based on active piece-wise sign updating. Experiments are reported to demonstrate the improvement for the existing algorithms and the effectiveness and efficiency of the proposed model on large scale datasets.
An Ambient Multi-Agent System for Healthcare Monitoring of Patients With Chronic Diseases

Chronic diseases are a major cause of death in the world. Thus, many guidelines have been proposed to prevent these diseases. In addition, various systems have been developed to ease health monitoring. However, they are generally behaving as reminders or as anomaly detection systems. After giving an overview of the existed solutions and discussing their drawbacks, the authors present their system which is called ambient healthcare monitoring system (AHMS). It provides a continuous, unobtrusive, and mobile health monitoring of patients with chronic diseases. It is based on the multi-agent paradigm that allows devices to be distributed and autonomous. In addition, it benefits from the characteristics of ambient intelligence (AmI) such as ubiquity and context-awareness. So, AHMS is a promising solution for unobtrusive healthcare monitoring, in which it offers efficient medical services, with less energy consumption, that can significantly reduce the healthcare cost by automating some routine tasks. Consequently, it reduces the latency as well it minimizes the overload on the caregiver.
A design method based on electromagnetics-structure coupling for digital electromagnetic shaker system

In this paper, based on the coupling theory of electromagnetics and structural dynamics, a design method for digital shaker system was proposed by means of control instruction analysis and data stream scheduling method (CIADSS). The paper first gives the theoretical basis and design method of digit al shaker system. Then a design example was given to verify the feasibility of the design method. This design method realized the design of digital shaker system and laid the foundation for Computer Aided Test (CAT) of the shaker.
Knock Three Times... [Microwave Surfing]

Guri directs the Cybersecurity Research Center at Israel's Ben-Gurion University. The center is dedicated to identifying and exploiting vulnerabilities in electronic systems.
Trajectory Planning and Control Algorithms of Mobile Robots for Static Environments

In this chapter, different types of trajectory control and planning algorithms for mobile robots in static environments are analyzed and assessed. To this end, a mobile robot is made to plan and follow a route between two arbitrary points in an autonomous way. This work goes in depth into the discrete space techniques and those based on search trees. First, kinematics, trajectory planning and contour maps, robot control, etc. are reviewed. Second, computer simulations that validate these theoretical results are also designed and implemented. Finally, the strengths and weaknesses of each trajectory planning methodology are assessed.
Collaborative correlation filters for real-time tracking with spatial constraint

Accurate scale estimation of the target plays an important role in object tracking. Most state-of-the-art methods estimate the target size by employing an exhaustive scale search. These methods can achieve high accuracy but suffer significantly from large computational cost. In this paper, we first propose an adaptive scale search strategy with the scale selection factor instead of an exhaustive scale search. This proposed strategy contributes to reducing computational costs by adaptive sampling. Furthermore, the boundary effects of correlation filters are suppressed by investigating background information so that the accuracy of the proposed tracker can be boosted. Experiments’ empirical evaluations of 61 challenging benchmark sequences demonstrate that the overall tracking performance of the proposed tracker is very successfully improved. Moreover, our method obtains the top rank in performance by outperforming 17 state-of-the-art trackers on OTB2013.
<i>Remnance of Form</i>: Interactive Shadows as Altered Views of Objects

The projective nature of light results in distorted shadows, the remnants of physical forms, no different from any human perception that is governed by subjectivity. This work seeks to widen the gap between the objective world and the perception of it by programmatically altering the association between an object and its shadow. The shadow can transform or be animated, demonstrating a range of personality and emotion. On the other hand, the visual and interaction gestalts of our installation are carefully designed to emulate physical shadows. By juxtaposing the poetic interpretation of the shadow and realistic visuals, we explore the evocation of strong personal connections with an object and its shadow.
Robust and energy efficient trajectories for robots in a common workspace setting

A method, incorporating robustness into trajectory planning, is proposed in this article. In the presence of delays, the suggested approach guarantees collision-free scenarios for robots with predefined paths and overlapping workspaces. Traditionally, only the time at which a robot can enter a common workspace is constrained so as to avoid collisions. If the shared zone becomes available later than planned, collisions can potentially occur if the robot is unable to stop before entering the shared space. In this work, a clearance point is introduced where the occupancy of the common workspace is evaluated. The velocity is constrained at this point such that, if necessary, the robot is able to stop at the boundary of the shared space. The closer to the boundary the evaluation is performed, the more restricted is the velocity. The problem formulation is stated in space assuming a predefined path, where robot dynamics and robust constraints are included. Multiple objectives corresponding to final time and energy consumption are considered. The impact on the system performance concerning the position and timing related to the clearance point is analyzed. An example is presented, where the optimal clearance point position is determined, based on the time at which the shared space is assumed to become available.
DOCUMENT HANDLING PROCESSES EVOLUTION IN DOMESTIC RESEARCHERS’ WORKS OF THE XIX CENTURY

The article traces the formation and development of document handling and recordkeeping in the Russian Empire of the XIX century. The relevance of the study is determined by clerical documentation role in modern public administration, the efficiency of which depends directly on the workflow state. In this respect, the pre-revolutionary studies of historical traditions in domestic recordkeeping are considered important and relevant nowadays.
Disease severity assessment and ordering of patients in ICU by using a Bayesian network

This paper aims to develop a realistic triage system to better quantify a patient’s disease severity for the evaluation of admission or discharging. A good triage can reduce loads of doctors and draw attention of staffs to critical conditions. However, existing systems score on readings of vital si gns and the superficial scores usually are apart from doctors’ judgement. Instead of summing up rating score, we take a Bayesian network approach to estimate the source diseases that lead to the observed vital signs, such as temperature, lactate, HCT, and CRP, etc. Because the purpose of this assessment is not making a correct diagnosis, the source diseases are only stratified to four disease categories. Based on the reading of vital signs, Bayes belief network inferences the probability distributions of the severity for each one of the four disease categories. Finally, the four distributions are then sufficient to rank a patient’s final severity by a probabilistic decision framework. Diffing from traditional paper based evaluation, our method is required to use computer to perform the computation. Our triage results closely match doctors’ judgement. Sensitivity and specificity are improved significantly, comparing to traditional APACH II systems. Absolute and relative assessment gains were calculated and proved to be practical.
Examination of personal authentication method achieving shoulder-surfing resistance by combining mouse operation and number matrix

Currently, personal authentication is used in many areas, and typically involves password authentication with a keyboard, but authentication information is easily leaked by shoulder surfing. We previously proposed an authentication method using mouse operation, which can be used with shared PCs and in public places. However, its usability was low. Thus, here we propose an improved method that can be performed by operating a mouse to manipulate cells of a number matrix displayed on a screen. We implemented the proposed method and conducted experiments on its usability and shoulder-surfing resistance. Questionnaire results showed that the usability of the proposed method is improved, and no shoulder surfer could obtain complete authentication information.
Constructing Faithful Homomorphisms over Fields of Finite Characteristic

We study the question of algebraic rank or transcendence degree preserving homomorphisms over finite fields. This concept was first introduced by Beecken et al. [ 3 ] and exploited by them, and Agrawal et al. [ 2 ] to design algebraic independence–based identity tests using the Jacobian criterion over characteristic zero fields. An analogue of such constructions over finite characteristic fields was unknown due to the failure of the Jacobian criterion over finite characteristic fields. Building on a recent criterion of Pandey et al. [ 15 ], we construct explicit faithful maps for some natural classes of polynomials in the positive characteristic field setting, when a certain parameter called the inseparable degree of the underlying polynomials is bounded (this parameter is always 1 in fields of characteristic zero). This presents the first generalisation of some of the results of Beecken et al. [ 3 ] and Agrawal et al. [ 2 ] in the positive characteristic setting.
Knowledge Engineering, Cognitive Ergonomics, and Knowledge Management in 2017

Today there is a new emphasis on a discipline related to knowledge engineering (KE): knowledge management (KM). The chapter shows that a Delphi methodology, developed and used with real success from 1986 through 2003, can be revised and up-dated to take a place in the spectrum of KE/KM. This new model combines elements of a Pareto technique at the front end of an small group Delphi paradigm/estimate-talk-estimate (SGDP/ETE) process to initially identify and sharpen the criticality of problems and their solutions. The final stage of the model uses real time Delphi (RTD) techniques. As a result, the final paradigm uses today's technology to achieve extremely accurate decision making and indicate what can be successful courses of action across many venues. Examples will be given of how this new model could be applied to current, real-life problems in three very different arenas.
Designing Sound for 3D Films

This chapter gives an overview of the state-of-play of sound for 3D films and explores the industry adoption of digital 3D into the cinema, with a focus on the creation and exhibition of the soundtrack and its relationship with the image. An overview of the technological advancements in the editing, mixing and exhibition of 3D film is provided, including consideration of immersive sound formats. Designing soundtracks specifically for 3D films is presented from sound acquisition to final exhibition. There is also discussion on the use of the cinema space and the articulation of language needed to define sound placement.
Information and Communication Technologies As Means of Creative Development of Primary Schoolchildren

The article reveals the possibilities of using information and communication technologies in order to develop the creative abilities of younger schoolchildren. Using the example of preparing an independent thematic message, it demonstrates how the interaction of the learner with the means of information and communication technologies should be organized in order to achieve the developmental effect of learning.
All the Light We Cannot See

This chapter offers an enlightening 5E lesson plan that guides ELA teachers through a novel study using excerpts from All the Light We Cannot See, while also directing science teachers through a series of simulations and exercises designed to teach students about the basic properties of waves, including the electromagnetic spectrum. Focusing on science and literacy integration, this chapter also draws attention to the fact that the unit is designed to be taught simultaneously by each content-area teacher or, alternatively, at separate times during the year. The unit provides students with opportunities to explore all components of 5E (engagement, exploration, explanation, elaboration, and evaluation) in both disciples. Lessons are directly aligned with CCSS and NGSS standards, respectively. Additionally, the unit provides all necessary resources, including handouts and appendices, for teachers to successfully teach the unit for student mastery.
Use of E-Resources by Social Scientists in Tamil Nadu, India

E-resources is defined as a resource which requires computer access or any electronic product that delivers a collection of data, be it text referring to full text bases, electronic journals, image collections, other multimedia products, as a commercially available title that has been published with an aim to being marketed. Over the past few years, a number of techniques about related standards have been developed which allow documents to be created and distributed in electronic form. The e-resource on magnetic and optical media has a vast impact on the collections of university libraries. The study shows that majority of the respondents—82.59% of respondents having 1-2 years' experience, followed by less than one year (11.08%), 3-5 years (3.48%), and only 2.85% of respondents stated more than five years—have experience of using e-resources.