Reviewerly/exHarmony huggingface dataset:
A New Adaptive Hybrid Algorithm for Large-Scale Global Optimization

Large-scale global optimization (LSGO) problems are one of most difficult optimization problems and many works have been done for this kind of problems. However, the existing algorithms are usually not efficient enough for difficult LSGO problems. In this paper, we propose a new adaptive hybrid algorithm (NAHA) for LSGO problems, which integrates the global search, local search and grouping search and greatly improves the search efficiency. At the same time, we design an automatic resource allocation strategy which can allocate resources to different optimization strategies automatically and adaptively according to their performance and different stages. Furthermore, we propose a self-learning parameter adjustment scheme for the parameters in local search and grouping search, which can automatically adjust parameters. Finally, the experiments are conducted on CEC 2013 LSGO competition benchmark test suite and the proposed algorithm is compared with several state-of-the-art algorithms. The experimental results indicate that the proposed algorithm is pretty effective and competitive.
Cyberspace Security Evaluation Technology on the Condition of Attack and Defense Confrontation

The blurred synthesis evaluation arithmetic based on analytic network process and systemic security evaluation target system is designed, and the main technology and system realization of cyberspace security evaluation system are presented, which is realized based on fight theory’s attack and defense affection evaluation and systemic security evaluation technology. The technology and system can provide a systemic security evaluation to information system target’s security and put forward security resolve scheme suggestions, which have important effect and meaning on accelerating China’s cyberspace war ability.
Prior Distance Map for Multiple Abdominal Organ Segmentation

Given the significance of organ specificity among different patients, prior knowledge, including the shape of a single organ and the relative position of adjacent organs, is challenging to apply on multiple organ segmentation tasks. To overcome this limitation, this paper proposes a novel feature classification algorithm based on prior distance map (PDM) for multi-organ segmentation to increase the effectiveness of prior information. Distance conversion is performed on a gray scale image to obtain the PDM by using Manhattan distance conversion. Feature vectors, which are composed of BRIEF and Local Binary Patterns (LBP) features, are classified based on PDM by using random forest algorithm. Our algorithm is validated using the public dataset of MICCAI 2015 Challenge. Experimental results show that the proposed algorithm has improved the accuracy compared with the existing algorithms, reaching the accuracy rate (ACC) of 82.9% for the spleen, 77.4% for the left kidney, 89.1% for the liver, and 62.2% for the stomach.
Good algorithms make good neighbors

Many computer scientists doubted ad hoc methods would ever give way to a more general approach to finding nearest neighbors. They were wrong.
Challenges of Applying Scrum Model and Knowledge Management for Software Product Management

This study aims at identifying the major challenging encountered by software practitioners when using scrum model alongside with knowledge management in software product management. In accomplishing the research purpose, questionnaires are administered to software practitioners from different companies. Data gathered from the questionnaires are analyzed to draw conclusions from the study. This study indicate that software practitioners are facing challenged of compromise product backlogs on time due to the complex tasks, rapid changes requirement by clients, and sharing the knowledge. Thus, the study is essential in establishing the importance of the scrum model and knowledge management teams in software product management. In this study, software practitioners with different work experiences and knowledge are involved in identifying the encountered challenges and elaborate the rational solutions.
Blended learning strategies on teaching light concepts for underprivileged school students

Despite the growth in ICT applications in education, inequalities continue to exist. Students and teachers inadvertently suffer in underprivileged schools - facing isolation, neglect, coupled with inadequate pedagogic attention, poor infrastructure and insufficient resources. Science needs to be taught in the class room in a way that it stimulates the mind of the children to inquire and execute scientifically. A blended learning technique is employed for capacity building on light-based technologies. We have developed an innovative methodology of interlinking the concepts and activities prescribed in the science text books using hands-on minds-on intracurricular experimental kits. The kits serve as essential alternative to the lack of any equipment in most of the schools and can be used in conjunction with textbooks. This new teaching-learning environment has been successfully tried and tested in different schools. All the stakeholders involved have responded positively and have expressed satisfaction of having understood the latent principles more clearly than when taught only through the traditional method of teaching.
Bits and Qubits

Quantum computing is an interdisciplinary field of research, and it is natural that many people starting in this area should feel uncomfortable with the fundamentals of either computer science or physics. In this chapter, we briefly review the basic concepts necessary to follow the rest of the book.
Modernizing parsing tools: parsing and analysis with object-oriented programming

Software Engineering tools today are hampered by weaknesses in parsing and analysis tools. For example, there are no standard repositories of grammars for the most popular programming languages. If an organization has software written in Python, Java, Bash, SQL, HTML, CSS, JavaScript and so on, there is no readily available mechanism to parse and analyze all of the software in a unified manner. This paper describes a collection of tools for parsing and analyzing many different languages, including legacy languages like COBOL and Fortran. The primary goal is scalability; dealing with a single programming language and a limited number of programs is far simpler than dealing with millions of lines of code written in many different languages.
Splitting Criteria Based on the McDiarmid’s Theorem

Since the Hoeffding’s inequality proved to be irrelevant in establishing splitting criteria for the information gain and the Gini gain, a new statistical tool has to be proposed. In this chapter, the McDiarmid’s inequality [1] is introduced, which is a generalization of the Hoeffding’s one to any nonlinear functions. Further extensions and analysis of the McDiarmid’s inequality can be found in [2]. Based on the McDiarmid’s inequality, two theorems are presented in this book: one for the information gain and one for the Gini index. These theorems were first published in [3]. The obtained bounds were improved in [4, 5]. In the case of the Gini index, the corresponding bound was further tightened even more in [6]. Hence, finally this book considers the bound for the information gain taken from [5] and the bound for the Gini index published in [6].
Accelerating Reinforcement Learning for Robot Controls Using Interim Rewards and Master/Slave Computing

Reinforcement-Learning (RL) has become a bigger task in engineering. The advantage of RL is the ability to learn without known datasets, only with rules included in an environment. If the task becomes bigger, the learning phase grows enormously. Two approaches for accelerating the time of learning are discussed in this work. Introducing interim rewards offers the possibility to split a big task into several smaller tasks. With the master/slave approach, multiple instances learn individually and the knowledge of each of them is merged afterwards into one behavior strategy. Both of these approaches are demonstrated by means of a case study.
Should the Environment Be a Human Factor?

For many decades, we recognized four human factors: physical, cognitive, social, and cultural. Approximately at the turn of the millennium, we increasingly began to recognize, based on a variety of evidence from psychology, physiology, neurophilosophy, and other fields, that affect should be added as a new category. To understand the human, the argument went, we were missing an important component if we left out emotion. That perspective has been sufficiently well accepted that the dedicated society and conference for the topic, Design and Emotion, was able to declare success, and held its last event in Amsterdam, then closed its doors in 2016. In this paper, we argue that we should recognize that another aspect of being human is the environment itself. As ecological psychologist Gibson famously said, “Do not ask what is in your head. Ask instead what your head is in” [1]. In order to more completely understand the human factors that are relevant to a particular design, we should be systematically studying the surrounds. These will include everything from the many microscopic symbiotes that make up the human system, to the infrastructure designed and developed by people, to the natural support provided by the planet. Although not typically recognized as part of being human, it is unreasonable to think of people as somehow being apart from the environment that they inhabit. The tendency to separate the two into distinct categories has arguably resulted in some of the worst effects of human activity, as has become increasingly recognized by the people interested in post-human design (e.g. [2–5]).
Anti-heterotic Computing

When two or more different computational components are combined to produce computational power greater than the sum of the parts, this has been called heterotic computing (Stepney et al in 8th workshop on quantum physics and logic (QPL 2011), vol 95, pp 263–273, 2012 [46, EPTCS 95 263]). An example is measurement based quantum computing, in which a set of entangled qubits are measured in turn, with the measurement outcomes fed forward by a simple classical computer, to keep track of the parity of the measurement outcomes on each qubit. The parts are no more powerful than a classical computer, while the combination provides universal quantum computation. Most practical physical computers are hybrids of several different types of computational components, but not all are heterotic. In fact, anti-heterotic, in which the whole is less than the sum of the parts, is the most awkward case to deal with. This occurs commonly in experiments on new unconventional computational substrates. The classical controls in such experiments are almost always conventional classical computers with computational power far out-stripping the samples of materials being tested. Care must be exercised to avoid accidentally carrying out all of the computation in the controlling classical computer. In this overview, existing tools to analyse hybrid computational systems are summarised, and directions for future development identified.
Beam moment and shear force calculations using digital-camera experiments

This article presents an image-based method to find the beam moment and shear force using the measured beam displacements. A least-squares method is first developed to find the rotations and lateral displacements at beam ends using the measured displacements along the beam. Then, the moments and shear forces of this beam segment are obtained using the matrix formulation including shear deformation and large displacement effects. Two experimental schemes, image symbol dot and image-correlation methods, were used to validate the accuracy of the proposed scheme. The comparison of the results between the finite element analysis and the two methods shows acceptable accuracy. Although this method is mainly applied to the elastic region, one can still find the moment and shear force at the inelastic region using the equilibrium equation.
THE RISKS OF INTRODUCTION OF MODERN TECHNOLOGIES IN THE EDUCATIONAL PROCESS OF THE COLLEGE

The risks of introduction of modern technologies in the educational process of the College on the example of «Sevastopol College of service and trade» have been investigated. A number of contradictions in the course of technologization of vocational education has been highlighted. The main goals and objectives of the application of new technologies in the College have been adduced. The list has been presented and new technologies, using in the educational process of the College, have been described. Organizational and financial risks of introduction of modern technologies in the educational process of the College have been substantiated.
Novel priori‐knowledge‐free manoeuvring target‐tracking method

In the past few decades, many manoeuvring target-tracking methods have been proposed. However, most of these methods require some priori knowledge about the target, which is hard to obtain in many scenarios. Here, a priori-knowledge-free (PKF) manoeuvring target-tracking method is proposed by introducing a time-varying polynomial-function-based motion model. The model order and coefficients are real-time estimated to guarantee a steady performance in both manoeuvring and non-manoeuvring situations. Numerical results are provided to validate the effectiveness of the proposed method.
An Ergonomic Assessment on the Detectability Design of the New Generation Currency (NGC) Coin Series and Bangko Sentral ng Pilipinas (BSP) Coin Series

The study assesses the detectability design of coins produced by Bangko Sentral ng Pilipinas. Two sets of coins are currently in circulation: the Bangko Sentral ng Pilipinas and the New Generation Currency Coin Series. Three types of timed detection tests were performed under controlled conditions to measure effectiveness (accuracy) and efficiency (duration) in detecting coins. These tests differ in sense/s used to detect the coins: visual only, tactile only, and both visual & tactile. Results show that BSP coins are generally easier and faster to identify than NGC coins. Furthermore, subjects find it easier to detect the obverse side of coins compared to the reverse. When using the visual sense only, subjects respond faster as compared to only using the tactile sense, and show no significant difference when using both visual and tactile senses. Thus, the tactile design features of the coins may be ineffective for detectability.
The Linguistic Skills of Foreign Students in the Italian School System

The relative stability of migration has led to the strong presence of immigrant children in the school. For some decades the Italian school has been faced up with the growing participation of students of foreign origin, although small compared to other countries. In this panorama we will have many young foreigners in the next few years with a degree obtained in Italy. This work aims to analyze the linguistic skills of foreigners on the basis of data collected by the Integration of second generations survey conducted in 2015 by the Italian National Statistical Institute (ISTAT).
Further Improvements of the Single-Shot 3D Movie Camera

This chapter introduces two methods, which significantly improve the measurement outcome of the single-shot 3D movie camera: The further increase of the 3D data density and channel efficiency by the application of a projected pattern with crossed lines. The acquisition of texture information, which enhances the visual impression of the acquired 3D model and could also serve as an additional source of information. Both methods require a slight softening of the ‘pure doctrine’ of the previous two Chaps. 5 and 6 , as now additional space-bandwidth restrictions are introduced. In exchange, both improvements are applicable without the need of additional cameras in the setup.
UTAUT-QiU: Technology Acceptance Evaluation Model with Integrated Quality-in-Use Assessment for Mobile UI Adapted for Low- and Post-literate Users

The Mobile technology evolution has greatly affected our lives, in terms of performing our daily tasks more efficiently and effectively. It includes recent advances in voice-enabled technology empowered by artificial intelligence, machine learning and natural language processing. Then again, technology evolution has created a problem for low and post-literate population in terms of understanding and using mobile devices with complex functionality. We intend to increase technology acceptance and the quality-in-use of MUI for low-and post-literate users by applying text-free approach combined with voice as a service. A new technology acceptance evaluation model UTAUT-QiU is proposed in this paper with the aim of assessing both user acceptance of text free MUI and MUI’s quality-in-use.
Sweetie 2.0 Technology: Technical Challenges of Making the Sweetie 2.0 Chatbot

In 2015, Tracks Inspector, a Dutch software company, was asked to develop the software for the Sweetie 2.0 project which was going to be an important tool for mapping, measuring and combating online child abuse. One of the most innovative ideas in the grant proposal for Sweetie 2.0 was the automation of responsive communications with online chat partners using a personified chat robot in various communication channels. For this idea, Terre des Hommes was awarded the 2015 Accenture Innovation Award. The chatbot is a virtualized minor child (aka Sweetie) who will engage in a dialogue using a chatbot engine and 3D imagery. All chat conversations are recorded by the system which assists analysts in classifying ‘online predators’ by analyzing the data. The chat data is processed per chat and a profile is created for each chat partner to assist with the identification of recurring chat partners. The system will be used in a study by the department of Forensic Psychology of the University of Tilburg to investigate the most effective manner of responding to predators to prevent this behavior in the future. This chapter describes the technology behind the Sweetie 2.0 system. We start by explaining the biggest challenges and the functional requirements that needed to be met. As an introduction we present an infographic that presents an overview of the final system as it is operational now. Then we shortly present the state of the art in chatbot technology in 2015 that we assessed before designing and building Sweetie 2.0. This assessment helped us to solve the challenges. In the remaining part of this chapter we highlight some of the solutions we invented to give the Sweetie chatbot a strategic character, to play 3D avatar video clips in the chatroom, how we implemented some basic rules of engagement and how we are capturing the data streams. This is followed with a short explanation how the Sweetie system is being used, how we designed the underlying architecture, and how analysts are assisted with the identification of persons of interest. We conclude by providing some statistics that have been collected during the first half of 2017. During that period the system was used by operators from Terre des Hommes and researchers from the department of Forensic Psychology of the University of Tilburg.
Encryption Techniques for Modern World

Encryption is the process of converting confidential private data into unreadable form and securing information in the file from unauthorized access using various encryption algorithms. We live in the information age where the exchange of private information has become the integral part of our day-to-day activities. Billions of e-mails and business data are sent throughout the world through internet daily. The success of the information age is to keep private secure data from unauthorized access and key to access the private and secure data for authorized users. Encryption in this information age plays a vital role in the protecting the confidential data from unauthorized access. In the last few decades, the computer network has created a revolution in the use of information. Authorized users access their data or send their private data from anywhere in the world; hence, it has become very important to secure the private data not only where it is stored, but also to maintain high level of confidentiality while transmission of this private data from one machine to another.
Multiframe interpolation for video using phase features

Traditional frame interpolation algorithms typically find dense correspondences to synthesize an in-between frame. Finding correspondences is often sensitive to occlusion, disocclusion, and changes in color or luminance. We present a phase-feature-aided multiframe interpolation network that aims to estimate multiple in-between frames in one pass and handle challenging scenarios such as extreme light changes and occlusion. We first model the relation between multiple in-between frames together to enhance the temporal consistency. Two candidate optical flow fields are produced for a given in-between frame, one predicted from our network and the other estimated from those of neighboring frames using a flow fusion map. We also employ an image fusion map to combat occlusion problems in the warping processes, producing two candidate interpolated images that are fed to a shallow network with a residual structure to obtain the final interpolated image. To handle challenging scenarios, we apply a set of Gabor filters to extract phase variations in the feature domain with a multiscale phase subnetwork. Our entire neural network is end-to-end trainable. Our experiments show that this method outperforms the state-of-the-art approaches and achieves marked visual improvement in challenging scenarios.
Toward the Design and Implementation of Traceability Engineering Tool Support

Requirements of a system keep on changing based on the need of stakeholders or the system developers, making requirement engineering an important aspect in software development.This develops a need for appropriate requirement change management.The importance of requirements traceability is defining relationships between the requirements and artefacts extracted by the stakeholder during the software development life-cycle and gives vital information to encourage software understanding.In this paper, we have concentrated on developing a tool for requirement traceability that can be used to extend the requirement elicitation and identification of system-wide qualities using the notion of quality attribute scenarios to capture the non-functional requirements.It allows us to link the functional and non-functional requirements of the system based on the quality attribute scenarios template proposed by the Carnegie Mellon Software Engineering Institute (SEI).Apart from this, the paper focuses on tracing the functional and non-functional requirements of the system using the concept of requirement traceability matrix.