Reviewerly/exHarmony huggingface dataset:
Flight Test Validation of Real-Time UAS Mission Planning Autonomy and Optimal Path Planning for Flight Line Surveys

This work outlines the design philosophy and flight test validation process for a mission-oriented autonomy suite developed for flight line survey applications using an unmanned aerial system (UAS). The developed autonomy applies various Traveling Salesman Problem heuristics in real-time to user-input survey flight lines in order to create an efficient mission route. The system then applies Dubins path guidance methods to follow distance-optimal paths between the flight lines as a function of the fixed-wing aircraft turning radius constraint, as well as to obtain precise tracking of the entire flight line. The autonomy was integrated onto an onboard flight control unit on an unmanned aerial system and flight test validation was conducted to compare the performances of the heuristics.
Defining and Using Functions

In this chapter, I describe Go functions, which allow code statements to be grouped together and executed when they are needed. Go functions have some unusual characteristics, the most useful of which is the ability to define multiple results. As I explain, this is an elegant solution to a common issue that functions present. Table 8-1 puts functions in context.
On the problem of cognition of mineralogy and geochemistry of the landscape of mining territories

Abstract A methodology for studying the forms of finding chemical elements in the landscape of mining territories is given. The necessity of mineralogical and geochemical integration of methods is shown, the influence of the forms of occurrence of chemical elements in the landscape on the extent of their absorption by biota, in particular, the coefficient of biological absorption. The dependence of the forecast of the state of mining geosystems on the forms of presence of potentially hazardous chemical elements in them is determined.
Construction of Non-Contact Type Nurse Call System Based on Eyelid Shape Approximation

Eye gaze is considered as an effective interface because it can express a person's intention and intent. In particular, in the field of social welfare, patients with limb disabilities such as ALS (amyotrophic lateral sclerosis), SMA (spinal muscular atrophy), and Parkinson's disease have been developing gaze-based interfaces, because gaze input is less burdensome for patients who have limited operating areas due to their limb disabilities. In this study, we developed a gaze interface by detecting the iris position using a camera and approximating the eyelid shape with a Bezier curve. In addition, we have developed a system that can sound a ringing tone by staring at the camera.
Security Management System (SMS)

In the current era of information technology, most companies, industries, and government sectors have already automated their systems using computer networks. These networks primarily store the organization's data for further processing and later use. In the information security context, which is the ultimate insurance of the information, it is the core matter of interest to protect and zealously preserve the information; at the same time, the availability of the information when needed is a greater challenge. So, the network managers need a system to orientate facilities in place to cover data and network resources. This chapter explores the security management system (SMS), which is a comprehensive set of strategies and procedures based on the risk management and risk assessment components; it looks into all critical business processes by analyzing the associated risks. Afterward, it executes the controls to prevent information from internal and external attacks (threats) and ensures that information is well safeguarded, and risk is absolved. These threats include not only the cause of someone with malicious targets, but also the accidental events like someone who downloads a Trojan or involuntarily deletes or moves critical files. The periodic check is the final step to adjust and organize the policies in the place they need to be, according to new technologies and new ways to save data damage externally. The essence of the implemented system (e.g. ISO/IEC 27001) based on the organizational management model Plan-Do-Check-Act (PDCA) framework, which embeds cloudy features to achieve the effectiveness and efficiency throughout the necessary procedures.
TOGO: Gnassingbe Wins Fourth Term

Africa Research Bulletin: Political, Social and Cultural SeriesVolume 57, Issue 2 p. 22616C-22617C Internal Developments TOGO: Gnassingbe Wins Fourth Term First published: 18 March 2020 https://doi.org/10.1111/j.1467-825X.2020.09321.xRead the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinked InRedditWechat No abstract is available for this article. Volume57, Issue2March 2020Pages 22616C-22617C RelatedInformation
Unit Testing, Benchmarking, and Logging

In this chapter, I finish describing the most useful standard library packages with unit testing, benchmarking, and logging. The logging features are fine, if a little basic, and there are plenty of third-party packages available for directing log messages to different destinations. The testing and benchmarking features are integrated into the go command, but, as I explain, I am not enthusiastic about either feature. Table 31-1 summarizes the chapter.
A Fused Path Planning Method with Hybrid Map Based on Database

Path planning is one of the most important functions that an intelligent autonomous vehicle should have. Point-to-point path planning which covers multiple areas with various characteristics has been suffering from low computational efficiency and accuracy. This paper proposes to segment the entire path into several sub-paths according to the area’s characteristics, builds up a hybrid map which seamlessly combines grid map and node-link map based on database, improves the path-planning cost function and put forward an adaptive search step scheme which are adopted in the different path planning methods applied for different sub-paths. Experiments are conducted under real office building and shopping mall environments. The results show that the proposed method dramatically reduces S/A (Searched nodes to Actual nodes) ratio and at the same time produces reasonable optimal path.
Key Concepts for Frameworks: Values, Aspects Normativity and Enkaptic Structures

In the foregoing chapter, Andrew Basden has offered a framework to understand the complexity of real life. He argues that real life is complex at a very fundamental level: reality unfolds itself in many different aspects and dimensions, for example, physical, formative, social, economic, juridical and moral. He shows that engineers have to understand this complexity in order to design meaningful solutions.
EDI and Related Standards

This presentation focused on the importance of the Serial Item and Contribution Identifier (SICI), its implementation and use in various types of serials transactions, and its relation to the SISAC Bar Code Symbol. Recent revision efforts are also discussed. [Article copies available for a fee from The Haworth Document Delivery Service: 1-800-342-9678. E-mail address: getinfo&amp;aworth.com]
Optimized frame detection technique in vehicle accident using deep learning

&nbsp;Video processing becomes one of the most popular and needed steps in machine leering. Todays, Cameras are installed in many places for many reasons including government services. One of the most applications for this concern is traffic police services. One of the main problems of using videos in machine learning application is the duration of the video; which is consuming time, paperwork and space in processing. This leads to increase the computation cost through a high number of frames. This paper proposes an algorithm to optimize videos duration using a Gaussian mixture model (GMM) method for real accident video. The Histogram of Gradient (HoG) has been used to extract the features of the video frames, a scratch CNN has been designed and conducted on two common datasets; Stanford Dogs Dataset (SDD) and Vehicle Make and Model Recognition Dataset (VMMRdb) in addition to a local dataset that created for this research. The experimental work is done in two ways, the first is after applying GMM, the finding revealed that the number of frames in the dataset was decreased by nearly 51%. The second is comparing the accuracy and complexity of these datasets has been done. Whereas the experimental results of accuracy illustrated for the proposed CNN, 85% on the local dataset, 85% on SDD Dataset and 86% on VMMRdb Dataset. However, applying GoogleNet and AlexNet on the same datasets achieved 82%, 79%, 80%, 83%, 81%, 83% respectively.
Contextual Factors in Information Security Group Behaviour: A Comparison of Two Studies

Group behaviour is a relatively under researched field in research pertaining to information security. Most behavioural studies in information security focus on the individual and how he/she reasons and eventually behaves. Recent investigations into security group behaviour have revealed that the context within which the members of a group function plays an important role. Behavioural threshold analysis has been identified as a possible tool to evaluate security group behaviour and provide insights into the possible influence of the group’s contextual milieu. Based on earlier research on contextual factors in information security, this paper embodies an elaboration on the theoretical and practical implications of the previous work by comparing two distinct information security group behaviour experiments. The contextual environments for the two experiments include a group of employees in an industry setting, as well as a group of students that reside together in a university residence. These experiments are discussed, firstly by looking at the information security behavioural threshold analysis results for the two groups, and secondly, by expounding on the external contextual factors that play a part in the formation and eventual practice of information security behaviour in a group setting. The paper concludes by reflecting on the research aims and possible future work. This research has shown that external contextual factors play an important role in information security group behaviour and its effect should be taken into account in the strategies of managing information security.
Managing Device Drivers and PC Resources

Startup, networking, and drivers—where will the problems end on our PCs? It can indeed safely be said that one of the biggest headaches when it comes to getting PCs working reliably is hardware drivers. A large part of the problem is that Microsoft simply doesn’t control drivers. Sure they have a certification program, and with Windows 10 every device driver must be digitally signed by Microsoft to ensure it’s compatible with the OS and won’t crash, but life is unfortunately more complex than that.
Elimination of overexposed area and its phase correction method in speckle pattern interferometry

In the practical application of speckle pattern interferometry, it is often necessary to measure the deformation or defect of some specimens placed in boxes. Transparent glass observation windows are often used on one side of these boxes. In laser speckle pattern interferometry, the glass windows often cause local overexposure in the field of view, which has a great influence on the measurement. A method for identification and elimination of overexposed areas based on polarized optics is proposed. A polarization camera is used for image acquisition; polaroid is used to filter out stray and chaotic interference light, greatly reducing the overexposed area in the imaging field of view, and then feature extraction technology is used to identify and extract the overexposed area caused by the glass window. Finally, according to the measurement information around the overexposed area, the phase of the overexposed area is fitted and corrected, so as to obtain the speckle pattern interferometry measurement results without overexposed points. Experimental results show that the proposed method can effectively extract and eliminate the overexposed area, and good measurement results can be obtained.
Strategies for collaboratively maintaining A-Z lists

This article discusses a project to integrate the management expertise of an Electronic Resources Librarian with the experiences of users, including students and Research & Instruction Librarians, to create a more user-centered A-Z database list. The authors analyzed the database lists of 10 peer institutions that use the Springshare A-Z Database List, gathered data about their own database list, surveyed colleagues, and developed an assignment for two library classes to understand how students and librarians use database lists. The article summarizes their findings and includes recommendations for collaboratively maintaining database lists that can be implemented at any library.
Improving the Quality Control of Seismic Data Through Active Learning

In image denoising problems, the increasing density of available images makes an exhaustive visual inspection impossible and therefore automated methods based on machine-learning must be deployed for this purpose.This is particulary the case in seismic signal processing. Engineers/geophysicists have to deal with millions of seismic time series. Finding the sub-surface properties useful for the oil industry may take up to a year and is very costly in terms of computing/human resources. In particular, the data must go through different steps of noise attenuation. Each denoise step is then ideally followed by a quality control (QC) stage performed by means of human expertise. To learn a quality control classifier in a supervised manner, labeled training data must be available, but collecting the labels from human experts is extremely time-consuming. We therefore propose a novel active learning methodology to sequentially select the most relevant data, which are then given back to a human expert for labeling. Beyond the application in geophysics, the technique we promote in this paper, based on estimates of the local error and its uncertainty, is generic. Its performance is supported by strong empirical evidence, as illustrated by the numerical experiments presented in this article, where it is compared to alternative active learning strategies both on synthetic and real seismic datasets.
Mutually Recursive Data

This chapter presents mutually recursive data definitions and the design of functions to process mutually recursive data. In addition, it presents (arbitrary) trees.
Unsupervised Semantic Segmentation with Contrastive Translation Coding

The proposed new method constructs a contrastive learning task through unsupervised image-to-image translation and indirectly extracts domain-invariant features by maximizing mutual information. Specifically, by reusing the semantic segmentation network for image-to-image translation, the probability space of the segmentation output is projected into the RGB space, thereby constructing positive and negative samples to maximize the mutual information between the input image and the semantic segmentation RGB projection map. Meanwhile, the output space of the target domain is transferred to the source domain, and then the robust domain-invariant semantic features are extracted. We develop two adversarial transfer methods and a three-stage training paradigm of pre-training, cross-domain transfer, and self-supervised training. Experiments on benchmarks demonstrate that this method is reasonable and feasible. Comprehensive ablation studies and analyses are also carried out to reveal the advantages and disadvantages of the two designed transfer schemes and the effect and significance of color-invariant semantic information for unsupervised semantic segmentation tasks. The contrastive learning task, which is constructed through unsupervised cross-domain image-to-image translation, provides a new insight for cross-domain transfer learning to overcome the problem of domain shift.
Intellectual Structure of Mobile Learning Field: Bibliometric Evidence from Turkey (2006-2020)

The aim of present study is to examine the intellectual structure of the reference lists of postgraduate theses on mobile learning in Turkey. In this research, 88 postgraduate theses indexed in the National Thesis Center of the Council of Higher Education were examined. According to the obtained findings, it was determined that the most theses were conducted in 2019. The average number of pages and citations of doctoral theses is higher than that of master’s theses. The supervisors of the master’s theses are mostly Assistant professors while the advisors of doctoral theses are mostly Associate professors and Professors. In both master’s and doctoral theses, citations to journal articles are more common. The most cited journals in master’s theses were Computers and Education, Turkish Online Journal of Educational Technology, British Journal of Educational Technology. The most cited journals in doctoral theses were Computers and Education and British Journal of Educational Technology. Agnes Kukulska-Hulme and John Traxler’s book Mobile Learning: A Handbook for Educators and Trainers is the most cited book in master's theses. Mohamed Ally’s book Mobile Learning: Transforming the Delivery of Education and Training comes first in doctoral dissertations. Mike Sharples has been the most cited author in both types of postgraduate theses.
Faster multiplication over $${\mathbb {F}}_2[X]$$ using AVX512 instruction set and VPCLMULQDQ instruction

Code-based cryptography is one of the main propositions for the post-quantum cryptographic context, and several protocols of this kind have been submitted on the NIST platform. Among them, BIKE and HQC are part of the five alternate candidates selected in the third round of the NIST standardization process in the KEM category. These two schemes make use of multiplication of large polynomials over binary rings, and due to the polynomial size (from 10,000 to 60,000 bits), this operation is one of the costliest during key generation, encapsulation, or decapsulation mechanisms. In BIKE-2, there is also a polynomial inversion which is time-consuming and this problem has been addressed in Drucker (Fast polynomial inversion for post quantum QC-MDPC cryptography, 2020). In this work, we revisit the different existing constant-time algorithms for arbitrary polynomial multiplication. We explore the different Karatsuba and Toom–Cook constructions in order to determine the best combinations for each polynomial degree range, in the context of AVX2 and AVX512 instruction sets. This leads to different kernels and constructions in each case. In particular, in the context of AVX512, we use the VPCLMULQDQ instruction, which is a vectorized binary polynomial multiplication instruction. This instruction deals with up to four polynomial (of degree up to 63) multiplications, that is four operand pairs of 64-bit words with 128-bit word storing each result, the four results being stored in one single 512-bit word. This allows to divide by roughly 3 the retired instruction number of the operation in comparison with the AVX2 instruction set implementations, while the speedup is up to 39% in terms of processor clock cycles. These results are different than the ones estimated in Drucker (Fast multiplication of binary polynomials with the forthcoming vectorized vpclmulqdq instruction, 2018). To illustrate the benefit of the new VPCLMULQDQ instruction, we used the HQC code to evaluate our approaches. When implemented in the HQC protocol, for the security levels 128, 192, and 256, our approaches provide up to 12% speedup, for key pair generation.
Filtering algorithms for speech signals in MAxk TLAB

Typically, speech signals interfere with other types of signals. In cases where noise performance is enhanced, its continuation can be modified, analyzed, or the results of speech evaluation changed. In other cases, such as the analysis of noisy recordings for forensic purposes or the restoration of audio recordings in archives, the task of filtering the signal from noise are the main purpose of the research work. Therefore, the development of methods to filter the signal from noise is a very topical area of research.
Tromino Tilings with Pegs via Flow Networks

A tromino tiling problem is a packing puzzle where we are given a region of connected lattice squares and we want to decide whether there exists a tiling of the region using trominoes with the shape of an L. In this work we study a slight variation of the tromino tiling problem where some positions of the region have pegs and each tromino comes with a hole that can only be placed on top of the pegs. We present a characterization of this tiling problem with pegs using flow networks and show that (i) there exists a linear-time parsimonious reduction to the maximum-flow problem, and (ii) counting the number of such tilings can be done in linear-time. The proofs of both results contain algorithms that can then be used to decide the tiling of a region with pegs in O(n) time.
Scraping Relative Chord Progressions Data for Genre Classification

Genre classification has been a hot topic for years now in the field of music information retrieval.Most of the current works study music using song waves as input data.In this work, we present a different approach to genre classification taking into account chord progressions.A full data set has been created for this work: first gathering songs for each genre (pop, indie, rock and reggae) from Spotify and then scraping chord progressions data of that songs from the website Ultimate Guitar.Different models which aim to classify the genre of the songs have been trained using convolutional neural networks for pair comparison between genres classification.Some of those models are used for discerning between two concrete genres given, getting up to a value of 91% for AUC metric classifying songs between pop and rock.
How to Address This Problem

As imperfect technology permeates the fabric of everyday enterprise and personal life, security risks through technology imperfections will continue to rise. Unfortunately, enterprise security risk management requires rapid response and persistent monitoring to identify and remediate imperfections (or flaws or vulnerabilities) to protect enterprise systems and data. However, achieving an overall enterprise cybersecurity program is a multi-step process that leaves many managers and organizations uncertain about where to begin.
How Not To Be Seen: Privacy and Security Considerations in the Design of Everyday Wearable Technology

Aim and scope of the study From 2017 to 2020, we conducted a research through design to address a number of identified obstacles to adoption of wearable computing. One obstacle was a perceived failure to design wearables for emotional engagement [1] [2] [3]. To address this, we began the inspiration phase with a participatory design process with an open-ended brief, instead of the typical approach of starting with a design exemplar. In this way, we elicited concepts from the participants to discover what kinds of everyday wearables they desired [4], rather than their preferences for some particular device type like an activity monitor [5]. The obstacles interrelate, and the outcome of our investigations against the obstacle of poor emotional engagement, give cause to reflect on another of the obstacles: privacy. This paper will reflect on the privacy issues evoked by our experience.