Reviewerly/exHarmony huggingface dataset:
A proposed decision rule for speaker identification based on a posteriori probability

In speaker recognition, the maximum likelihood (ML) rule is used as a criterion to assign a given sequence of acoustic vectors to the maximum likelihood speaker model. However, this rule is not flexible in some cases. An alternative decision rule, the maximum average normalised likelihood (MANL), is proposed in this paper. The theoretical analysis and the experimental results show that the MANL rule can be used in speaker identification and it is more effective than the ML rule in the approaches based on Gaussian mixture model (GMM) and vector quantisation (VQ).
Coherent kimberlite at Ekati, Northwest Territories, Canada: textural and geochemical variations and implications for emplacement

Introduction The term ‘coherent’ is used in a general non-genetic sense to describe kimberlite characterised by a crystalline groundmass and lacking readily discernable evidence of fragmentation. Coherent kimberlite has been encountered in three main geological settings worldwide: sheet intrusions (dykes and sills), root zone intrusions (irregular pipes) and high-level pipe fills (steep-sided pipes). The EKATI property in the Northwest Territories of Canada (Fig. 1) provides a unique opportunity to study coherent kimberlite from a range of emplacement settings. The majority of EKATI kimberlites are small pipe-like bodies filled dominantly by volcaniclastic kimberlite (VK), including mainly resedimented and lesser primary deposits, as described by Nowicki et al. (2004, 2008). Coherent kimberlite (CK) occurs as minor sheet intrusions, classified as hypabyssal kimberlite (HK), and as volumetrically significant high-level pipe fills, termed pipe-fill CK (pfCK). A recent study of the geochemical trends in a variety of volcaniclastic and coherent EKATI kimberlites (Nowicki et al., 2008) provides insight on the formation of these diverse bodies. Variations in bulk composition of selected kimberlites were found to correlate with the emplacement settings and textural character of analysed samples. In this contribution, we confirm, expand and build on this work.
Automatic Evaluation Software for Contact Centre Agents' voice Handling Performance

Evaluating the contact center agent's voice handling skills is important in order to enhance the customer satisfaction, through employee performance. Conventionally, supervisors in call center monitoring divisions listen to contact center agents' conversations and then assign scores for the voice of the agent which end up in most cases bias and as erroneous evaluations. In order to minimize the above mentioned problems, this paper discusses a system, we implemented to evaluate contact center agents' voices automatically avoiding human error and bias decisions. This software application considers speech rate, voice intensity level and emotional state of the contact center agent for their voice handling evaluations. According to the conducted research, it can be seen that the accuracy of evaluating the giving of instructions clearly using speech rate is 72%, evaluating listener comfortable voice intensity of agent is 83% and accuracy of emotion recognition of the agent's is 83% in the implemented system.
PERCEPTUAL COMPARISON OF TWO DIFFERENT SIMULATION ALGORITHMS APPLIED ON THE EXAMPLE OF AN OPEN-AIR THEATRE

The present interest in the acoustics of ancient open-air theatres is related to the recent developments in archeoacoustics 1-2 .This is a new research field focused on the acoustics of ancient structures used for a specific purpose, as rituals or speaking and musical performances.Greek and Roman open-air theatres are obviously considered in this category, as one of the most ancient and recognized form of auditorium.Thus, the main question is: which is the nature of the remarkable acoustics of these theatrical structures?The first investigations on open-air theatres acoustics go back to 1967, when Françoise Canac published his book 3 about twenty-years-long research on Roman and Greek theatres.Canac attributed the reason of their incredible acoustic to the absence of the roof, responsible of a dispersion of annoying late reflections inside the theatre.This postulate is actually one of the starting points for the contemporary study of ancient open-air theatre acoustics.In fact, the absence of a roof structure causes a remarkable decrease of the amount and density of sound reflections within the theatrical space.This was confirmed by real and on scale model measurements 4 , which revealed the characteristics of Impulse Responses (IRs) in open-air theatres: their reflection path is mainly composed by the direct sound, between the sound source and a receiver, and two major reflections, coming from the orchestra floor and the stage building, if the latter survived; after those first reflections, the IRs show a group of distributed reflections with much smaller amplitude, which are mainly caused by the scattering of sound on the tiers of steps in the sitting area (cavea) 5
MORPHOLOGICAL CHANGE OF VERB AND NOUN IN OLD, MIDDLE, AND MODERN ENGLISH

This library research aims to (1) identify effects of various colonialism on the change of morphological aspects of English Language and (2) explore the morphological change of verb and noun. Those two aims will give the readers a perspective of how language changes through the time. This is a library research which is conducted by collecting and processing data of various lexicons from a book entitled ‘A History of English Language’. The data processing is entirely based on some rules in a book entitled ‘Sejarah Bahasa Inggris’ written by Tarjana (1991). From the data processing, it is revealed that various colonizers ‘demand’ a language change, especially morphological aspect, in order a language understanding between colonizers and the colony will grow. Besides, morphological change will give us a clear description about natural characteristics that a language will always experience a change to accomodate the need of communicating effectively and efficiently.
A Connectionist/Symbolic Dependency Parser for Free Word-Order Languages

This paper proposes a dependency parser for free word-order languages on the basis of both connectionist and symbolic techniques. In the first connectionist phase, two neural nets are used to identify syntactic dependencies between individual words, specifying the grammatical role of dependency in each case. All the possible dependencies are kept in a syntactic dependency graph (SDG). Then, in the second symbolic phase, structural disambiguation is performed by a constraint satisfaction algorithm, in which various constraints on dependency structure are propagated through SDG to filter out inconsistent dependencies. For an efficient control, a predicate-driven constraint propagation as well as the forward checking algorithm is used. Experimental evaluation showed a quite promising result with parsing accuracy of above 90% for almost all Korean sentences of less than 10 words.
The Living Tree

In this section of the virtual exhibit, we explore how the tree interact with its environment, and the different factors affecting the tree processes. Includes animations on these processes.
Reversing the Co-design Process

Visual tools such as probes and design games are used during co-design events to facilitate a common design dialogue. They evoke new ideas and invite users, designers and other stakeholders to explore and rehearse future opportunities. This toolkit and working practices is continuously evolving, but the focus is almost always on upcoming design. Based on an experiment this article investigates how co-design tools can be used as a part of a post-occupancy evaluation (POE). As an initial analytical framework, performance studies are used to distinguish and discuss a traditional co-design process as a proto-performance and a POE as a reverse proto-performance. When you do a POE, you evaluate the performance of an already completed building in relation to the daily users. Unlike a traditional co-design process the POE looks back on the process in order to adjust or redesign the building.  The article argues that co-design tools can be an instrument to make architects and other stakeholders reflect on the project once again in order to see it from a different perspective.
HEAD MOTION DETECTION

The proposed system is a system that can be used for surveillance and monitoring applications. The development of an efficient real-time video head detection system is motivated by its potential for deployment in the areas where security is the main concern. The proposed system presents a platform for real-time video head detection and subsequent generation of an alarm condition as soon as the human head is detected. The prototype consists of a platform mounted with a camera that provides continuous feedback of the online exam environment.
Using URL Routing

At the moment, the selection of content displayed to the user is controlled by the application’s state data. Some of that state data is specific to a single component, such as the Selector component, which manages the choice between products and supplier data. The rest of the data is in the Redux data store and is used by the connected components to decide whether the data table or editor components are required and to obtain the data to populate those components’ content.
How to go global: A transformative process model for the transition towards globally distributed software development projects

© 2019 Elsevier Ltd and Association for Project Management and the International Project Management Association We employ design science research to develop a process model for the management of globally distributed software development (GDSD) projects. The model provides guidance for transforming established project frameworks in organizations to cope with additional challenges that a global project scale entails. The model integrates extant GDSD project management knowledge and makes it actionable for project managers, especially those with limited GDSD experience. The model was evaluated and found to be effective in transforming an actual GDSD project with teams in Germany, Poland, and India. Interviews with project managers with and without GDSD experience support the model's wider applicability to other contexts and IT project types. The model can also be used in GDSD project retrospectives to identify areas for improvement. In a research perspective, our model constitutes a novel type and instance of a social meta-artefact intended to transform existing social artefacts to retain their usefulness in evolving contexts.
Production chemistry and fluid quality

Laboratories are used to measure fluid properties and to ensure the chemical performance. This chapter describes some of the basics of the production chemistry and few of the details of fluid sampling. The sampling program should be coordinated with the flow assurance and production chemistry specialists to determine the required amount of samples.
Shuffled Illusion PIN Framework to Prevent Shoulder – Surfing

Shoulder surfing is a kind of technique applied to sneak the personal data like passwords and some confidential data of the user. For this type of attacks there is no need of any kind of technical knowledge but just a keen observation towards the user performance is necessary. However, secret gadgets made these shoulder surfing easy for the attackers like cc cams. To overcome these attacks some authentication schemes are proposed- Illusion pin that works on digital display. It applies the method of hybrid pictures with 2 keypads blended one keypad with another, it is designed by using the human visibility and quotes the least distance at which an attacker is incapable to understand the buttons. We developed an innovative shuffling algorithm for shuffling the keys for every single pin entry. Using this Shuffling algorithm, we create a new pattern of the keypad for every exclusive entry of the pin. Through this technique the attacker is unable to track the pin even if he remembers the spatial arrangement of the digits in a keypad. To provide more security we are adding one-time password generating (OTP) technique.
Classifying Infected and Uninfected Red Blood Cell Images for Malaria Detection using Convolutional Neural Networks

In the era of fourth industrial revolution or Industry 4.0, Computational Intelligence, Data Science and smart Information and Communication technology (ICT) are gaining huge importance in our society.Governments around the world started relying heavily on information and communication technologies to build smart and hyper-connected infrastructures that allow cities to provide better services to people and reduce energy consumption, as the global urban population is growing substantially.These intelligent technologies allow cities to introduce new ways of monitoring the atmosphere, buildings, street lighting, traffic, crowds, crime, etc.In building a smarter and more intelligent city around the world, Computational intelligence and ICT are the underlying technologies; but if not wisely applied, ICT can be a major environmental problem.At present, about 2 percent of global greenhouse gas (GHG) emissions are accounted for by the global ICT industry.This footprint is expected to increase dramatically to about 14 percent by 2040, according to a recent report.Intelligent use of advances in ICT will assist in minimizing GHG while still achieving its goals.ICT is theoretically able to reduce the carbon footprint in other fields by a factor of 10, based on the Global e-Sustainability Initiative (GeSI) report.ICT technologies such as Green ICT, the Internet of Things (IoT) and Artificial Intelligence (AI) can play important roles, not just in making our environment smarter, but also greener and more sustainable.
Featured Cover

The cover image is based on the Original Article Effects of shading model and opacity on depth perception in optical see-through augmented reality by Jimain Ping et al., https://doi.org/10.1002/jsid.947.
Notation Software

This chapter begins with a discussion on all the ways to notate music other than in European staff notation and the ways in which music can be written for many Western styles. Tablature, Nashville Numbers, time unit box system (TUBS), and MIDI notation, lyric sheets, chord charts, and rap flow charts are explored. The chapter then briefly explores the free industry-standard notation software Finale, Sibelius, and Dorico, followed by a section delving into free and cloud-based software for schools like Noteflight and Flat.io and an explanation of some more non-conventional notation softwares such as HookPad and 1Chart. A table is inserted to give an overview of the software discussed in this chapter.
Internet Crimes Against Minors and Legal Framework in India

Internet crimes against minors is a complex social emerging issue and a matter of concern that needs more attention from the government law enforcement agencies, legislators, parents, educators, intermediaries and over-the-top (OTT) platforms due to the massive increase in the usage of internet and mobile communication technologies. It is seen that relative ease in accessing media has led to an increase in online crimes against teenagers/adolescents having varied dimensions and impact on the victims. The study explores different forms of online crimes faced by teenagers through various online platforms, the potential offenders and the types of technologies deployed by them to commit crimes against minors. The article focuses on analysing existing laws and policies in India to combat cybercrimes against minors. Strategies for the prevention and protection of children against child abuse and exploitation have also been discussed.
Survey on Campus Platform with Personality Development Tools

Voicebot has become a popular tool for communication between humans and machines in recent years. Voicebots are conversational interfaces that recognize spoken natural language and speak with users using machine learning technologies (such as deep neural networks, automatic speech recognition, natural language processing, prediction models, and personalization). Most university campus apps are currently offered as static web pages or app menus. The goal of this research was to create a campus virtual assistant with personalized tools. Personalized tools include to do list and Eisenhower matrix for time management, Johari window for self-awareness and Gratitude diary for mindfulness. The purpose of this research was to improve the usability of campus platforms and provide students with personality development tools to contribute into their personal growth.
Smsecurity: Security System and SMS Notification Cum Face Recognition

This study used the Rapid Application Development (RAD) Methodology ensured that the phases in system development are done in the software building process. A prototype was developed that is used in the pilot implementation and a questionnaire has been distributed to the respondents to gather the information that can be used to determine if the functions of the system can benefit the owner/user. The findings revealed t that the system requires functional requirements such as; the user must be computer literate and knowledgeable on how the security system works, the location must have a Telecommunication signal and USB dongle must have loaded. Non-functional requirements such as; easy to use and high cost but can be useful; Hardware and Software Requirements with the latest version of the software with the help of computers that has higher specifications that the user/homeowner requires to have a user account to access and operate the system the system has good technical performance as to functionality, reliability, efficiency, and usability. Furthermore, the system entailed efficiency and was easy to use by the respondents.
Analytical Performance Evaluation of Siemens Sysmex CS-2500 and Sekisui CP-3000

Automatic coagulation analyzers have been used in the last 50 years and have been developed considerably. Newly developed tests and methods cannot be conducted in routine laboratories without evaluating their performance. Therefore, their performance must be evaluated and approved before being used routinely. The aim of this study is to evaluate the analytical performance of Sysmex Coagulation System-2500 (CS-2500) and Sekisui CP-3000 automatic coagulation analyzer (CP-3000).For APTT, PT, and D-dimer tests, reference range verification study, a method comparison study was performed in both analyzers in accordance with CLSI protocols, and precision and accuracy were evaluated using internal and external quality control samples. In the evaluation of precision and accuracy, CV% and bias% values were calculated. Bland-Altman, Passing-Bablok regression analysis, and correlation coefficient were used in the comparison study.The CV% values calculated for APTT and PT in both analyzers were found to be below the CLSI recommendation of 5%. D-dimer test results meet the quality criteria recommended by CLSI. Accuracy for both analyzers was within the acceptable limits. The reference ranges recommended by the manufacturer have been veryfied. Regression equations for APTT, PT, and D-dimer are y = -3.313 + 1.188x, y = -0.0399 + 1.048x, and y = 0.155 + 0.655x, respectively, and r values were 0.904, 0.978, and 0.974, respectively.CS-2500 and CP-3000 analyzers are suitable for laboratory use for routine coagulation. Since the CP-3000 device is newly used in our country, it needs to be supported by more comparison studies.
Decentralized Privacy-Preserving Path Validation for Multi-Slicing-Authority 5G Networks

Path validation assures operational integrity in 5G networks with various network infrastructures where nodes en route are operated by multiple untrusted network slicing authorities. However, in order to correctly validate a path, traditional solutions require the entire path to be revealed to all parties involved, which may potentially expose the network structure to malicious attackers. In this work, we propose a decentralized privacy-preserving path validation protocol utilizing XOR, hashing and Non-interactive zero-knowledge proof (NIZK) that guarantees security and privacy but circumvents performance compromise. We tested our protocols in a simulated multi-authority network to show how the privacy-preserving path validation can protect node privacy without significantly degrading performance.
JPEG pleno light field: current standard and future directions

This paper reports the status of the JPEG Pleno standard for the light field imaging modality and discusses current activities towards future developments of the standard. Currently, three parts (Part 1: Framework, Part 2: Light field coding with Amendment 1: Profiles and levels for JPEG Pleno light field coding system and Part 3: Conformance testing) have been standardized. Part 4: Reference software is in the final approval stage before standardization. The four-dimensional nature of plenoptic data poses many challenges. The literature presents several subjective and objective assessment models for the evaluation of two-dimensional (image/video) data. As for plenoptic data this topic is still under investigation, one of the JPEG Pleno standardization activities targets the development of plenoptic image quality assessment standard. Finally, as one of the possible directions within future JPEG Pleno standardization activities, JPEG Pleno is currently exploring state-of-the-art light field coding architectures exploiting learning-based approaches to assess the potential of these coding methods in terms of compression efficiency.
Memory Loss and Self-locating Credences

This chapter presents objections to the Conditionalization updating rule stemming from cases involving memory loss, and cases in which an agent loses track of the time, her identity, or her location. A number of examples are considered, then alternative updating schemes are proposed and assessed.
Few-shot object detection with affinity relation reasoning

Few-shot object detection (FSOD) aims at training an object detector that can rapidly adapt to detect novel classes with a few annotation examples. Existing meta-learning-based FSOD networks have achieved substantial progress, however, they still suffer from several drawbacks: they neglect the fact that more discriminative support features can boost the performance of few-shot learning; the commonly used channel-wise features interaction lacks the spatial information, which may lead to a typical problem that the object is well-localized but given a misclassified label. We study how to leverage the powerful attention mechanism and margin-based softmax loss to tackle the FSOD task. Specifically, we select the cosine margin loss that allows learned features with minimum within-class variance and maximum between-class variance to optimize the lightweight convolutional neural networks of the independent support set branch, which endows the extracted support features with better discrimination. In addition, we design an affinity relation reasoning module (ARRM) to promote the interaction of the support features and the region of interest (ROI) features. The ARRM fully explores the element-wise spatial attention to integrate distinct features via the affinity matrix that measures the relationship between the support features and ROI features. The ARRM also introduces holistic channel attention as a supplement to spatial attention. The holistic channel attention provides global semantic context about support features, which can alleviate the misclassification problem. We empirically evaluate the proposed network on Pascal visual object classes and Microsoft common objects in context benchmarks, and the experimental results demonstrate that our network achieves state-of-the-art performance.