Reviewerly/exHarmony huggingface dataset:
Lightweight Cryptographic for Securing Constrained Resource IoT Devices

Internet of Things IoT become a recent concept of communication technologies and a novel computing paradigm. The idea is to connect a variety of objects or things (e.g., RFID tags, NFC tags, sensors, etc.), which can interact and exchange data with each other anywhere and everywhere over the internet. With the evolution of IoT, the volume of data interchanged among connecting IoT devices is increasing at a remarkable scale due to the increase in number of the connected objects. Most of IoT devices are constrained devices and low resources that handling confidential and sensitive data. Therefore, using conventional cryptographic methods are unsuitable due to many issues and challenges like limited computational power, memory space, energy resources, performance cost, and security requirement. For that, lightweight cryptographic primitives (LWC) have been introduced. Many kinds of research continue moving forward to find a suitable algorithm that meets the specific demands of the IoT application. This paper provides an overview of the LWC primitives for IoT environment and presents various LWC algorithms based on their key dimension, block size, structures and number of rounds. We examine also the security viewpoint for the constrained IoT environment focusing on the relevant research challenges, difficulties and solutions. Finally, we proposed a secure scheme for improving the constrained IoT environment and conclude by discussing the open issues.
Melanoma, Mid‐Career Accelerator Award (DOD)

Federal Grants & ContractsVolume 44, Issue 11 p. 6-6 Grant Alerts Melanoma, Mid-Career Accelerator Award (DOD) First published: 04 May 2020 https://doi.org/10.1002/fgc.31059Read 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 onFacebookTwitterLinkedInRedditWechat No abstract is available for this article. Volume44, Issue117 May 2020Pages 6-6 RelatedInformation
Chinese Clinical Named Entity Recognition in Electronic Medical Records: Development of a Lattice Long Short-Term Memory Model With Contextualized Character Representations (Preprint)

<sec> <title>BACKGROUND</title> Clinical named entity recognition (CNER), whose goal is to automatically identify clinical entities in electronic medical records (EMRs), is an important research direction of clinical text data mining and information extraction. The promotion of CNER can provide support for clinical decision making and medical knowledge base construction, which could then improve overall medical quality. Compared with English CNER, and due to the complexity of Chinese word segmentation and grammar, Chinese CNER was implemented later and is more challenging. </sec> <sec> <title>OBJECTIVE</title> With the development of distributed representation and deep learning, a series of models have been applied in Chinese CNER. Different from the English version, Chinese CNER is mainly divided into character-based and word-based methods that cannot make comprehensive use of EMR information and cannot solve the problem of ambiguity in word representation. </sec> <sec> <title>METHODS</title> In this paper, we propose a lattice long short-term memory (LSTM) model combined with a variant contextualized character representation and a conditional random field (CRF) layer for Chinese CNER: the Embeddings from Language Models (ELMo)-lattice-LSTM-CRF model. The lattice LSTM model can effectively utilize the information from characters and words in Chinese EMRs; in addition, the variant ELMo model uses Chinese characters as input instead of the character-encoding layer of the ELMo model, so as to learn domain-specific contextualized character embeddings. </sec> <sec> <title>RESULTS</title> We evaluated our method using two Chinese CNER datasets from the China Conference on Knowledge Graph and Semantic Computing (CCKS): the CCKS-2017 CNER dataset and the CCKS-2019 CNER dataset. We obtained F1 scores of 90.13% and 85.02% on the test sets of these two datasets, respectively. </sec> <sec> <title>CONCLUSIONS</title> Our results show that our proposed method is effective in Chinese CNER. In addition, the results of our experiments show that variant contextualized character representations can significantly improve the performance of the model. </sec>
Publishing and Printing in Italy and the Single Internal Market

In his Conversations with Goethe, Eckerman quoted the great German author as saying that “national literature does not mean much—it is time publishers started working on world literature.” The first fact that attracts their attention is that, even when customs barriers fall, another barrier, much stronger and firmly rooted, will remain solidly in place: the linguistic differences of their cultures. This sociocultural fact can be eroded only slowly and with difficulty, and European publishers must take it into account, even after 1992. Considering international trade in the printing sector, the net balance is clearly in Italy’s favor and has been accelerating during the last few years of the end of the twentieth century: Italian print exports in 1986 were Lire 938.3 billion, with imports for the same year at Lire 350 billion. The state of the Italian printing industry is basically healthy as the 1992 approaches.
Immersive Walking Training System with Autonomous Treadmill Controlled by User’s Velocity

For rehabilitation or locomotor training purpose, treadmill training is widely used since it only requires a small space and has several benefits such as improved heart health, increased muscle strength, etc. However, since treadmill training is repetitive, it can become tedious and discourage users from training regularly. In this paper, we propose an immersive walking training system that uses virtual reality technologies and a treadmill that is automatically controlled by the user’s walking speed. This system is expected to create more engagement, and enable users to enjoy the training, thus increasing the training frequency as a result. Actual environments recorded as a 360° video can also be used, enabling people who are house-ridden to enjoy an outdoor experience.
Prospecção de minerais pesados em placeres no litoral Sul do Rio Grande do Norte (RN) - método aeroradiométrico e concentrado de bateia

Data from aero radiometric surveys and gold pans concentrates were interpreted to locate prospective regions of heavy minerals in placer deposits on the southern coast of Rio Grande do Norte, Brazil.The processing of the data allowed the individual analysis of the thorium (eTh) and uranium (eU) channels.Thus the identification of the anomalies related to the thorium and uranium elements became evident within the study area in the river basins of the Trairí, Jacú, Catú and Curimataú rivers.The anomalies of these channels can be associated to the stable minerals of these elements, monazite and zircon, their concentrations are distributed semi-homogeneously in the study area, highlighting the southern portion with high concentrations of U and Th and can refer to zircon-monazitic placers.Thus, the effectiveness of the geophysical method in the location of zircon-monazithic pleasure deposits is suggested.
Applications of Optical Quantum Radiation Coherent States in Physical-Layer Security

The subject of this work is cross-disciplinary and involves interaction between electromagnetic theory, quantum physics, digital communications, and security studies. It has been written with emphasis on addressing the widest possible audience so we included extensive literature for references and the main ideas were explained from first principles whenever possible. &lt;div&gt;&lt;b&gt;The main message of the paper is the fruitfulness of incorporating a multidisciplinary approach to our thinking about electromagnetic wireless systems through the joint deployment of electromagnetic, quantum, and communication theories in the design and development process of current and future advanced technologies. &lt;/b&gt;&lt;br&gt;&lt;/div&gt;
Dictionary Coding

The most important dictionary encodings for data compression go back to work by Abraham Lempel and Jacob Ziv in 1977 and 1978. The idea of the so-called LZSS method is to use the already processed string of a file as a dictionary. A sliding window is used, which contains both the current dictionary buffer and the preview buffer of the next file section to be viewed. The so-called LZW method builds up a dictionary dynamically. The most frequently occurring character strings are successively collected in it and are then only addressed as a whole in the encoding. As an application example, we will explain the DEFLATE method, which is used for zip archives and the pdf format.
Preface

AICTE Sponsored International E-Conference on Computing &amp; Communication Systems for a Fourth Industrial Revolution, the 9th edition of Annual International Conference on Emerging Research Areas (AICERA 2020), held virtually on 14-16 December 2020 in Amal Jyothi College of Engineering Kanjirappally, Kerala, India. The AICERA 2020 was organized by Amal Jyothi College of Engineering in association with All India Council for technical Education (AICTE)New Delhi and technically sponsored by IOP Publishing. The Conference aims at bringing together the researchers, scientists, engineers, and scholar students in all areas of Engineering and Technology, and provides an international forum for the dissemination of original research results, new ideas and practical development experiences which concentrate on both theory and practices. AICERA-2020 aims to create a platform for open communication and idea exchange on the recent Technological and Engineering developments. This conference provides an international forum for sharing knowledge and innovations in the field of Computer Science and Information Technology. The three-day event has provided an exposure to erudite work by researchers in the field of engineering. It also facilitates interaction among academicians, engineers and research scholars. Sessions on the side-line discussed recent advances, challenges, breakthroughs and research innovations on various engineering aspects of green technologies. The conference consists of keynote lectures, tutorials, workshops and oral presentations on all aspects of Engineering and Science. Researchers were invited to speak and present the latest developments and technical solutions in their recent multidisciplinary area. List of Organizing Committee, Technical Review Committee and Internal Reviewers are available in this pdf.
Applications of Variable Acoustics

This research investigates the use of variable acoustics and active acoustics system to improve the acoustics of the Paul H. Cocker Architecture Gallery at Ryerson University. These modifications can help the gallery become a multifunctional space in regards to acoustical characteristics of the room. Variation in acoustical response of a room requires use of different devices and material to change the reverberation and articulation time conveniently. Acoustical measurements were done in multiple locations at four multi-use auditoria with different variable acoustics features. These auditoria are Roy Thompson hall, Koerner Hall, Glenn Gould Studio and LiveLab at McMaster University. These case studies are used to better understand the acoustical responses of the auditoria with different configurations and use the data for the acoustical improvements of the Paul H. Cocker Architecture Gallery. After these evaluations were performed, results show that the acoustical poster board panels can be used to change the reverberation time of the Gallery based on the different uses. Keyword: acoustics, variable acoustics, reverberation time, active acoustics system, passive acoustics systems
3D Printable Edible Actuator

Agar, Konjac glucomannan, Carrageenan are all used for making food gels. Agar gel has high gelling and melting point, Konjac glucomannan acts as thickener and a gelation enhancer in food-related application whereas Carrageenan is also produced from seaweed also has high strength and melting point. In this study, we tried combination of these gels and check their properties whether it is suitable for soft robotics or not. The conductivity of these mixtures is also studied. Our laboratory developed food 3D printer is used for printing these combinations to check its 3D printability. This type of edible gel and its electronics can be used to make edible actuator that will eventually lead the way of using it in biomedical and soft-robotics field.
DESIGN AND IMPLEMENTATION OF ELECTRONICS AND DATA ACQUISITION SYSTEM FOR ULTRA-FAST FLASH OBSERVATORY

The Ultra-Fast Flash Observatory (UFFO) Pathfinder for Gamma-Ray Bursts (GRBs) consists of two telescopes.The UFFO Burst Alert & Trigger Telescope (UBAT) handles the detection and
Cooperative Unscented Kalman Filler with Bank of Scaling Parameter Values

This paper is devoted to the Bayesian state estimation of the nonlinear stochastic dynamic systems. The stress is laid on Gaussian unscented Kalnian filter (UKF) and, in particular, on a setting of its scaling parameter, which significantly affects the UKF estimation performance. Compared to the standard UKF design, where one scaling parameter per a time instant is selected, the proposed cooperative UKF combines estimates of the set of UKFs each designed with different value of the scaling parameter. The cooperative UKF reformulates the UKF scaling parameter selection task as the multiple model approach, which allows to extract more information from the measurement to provide estimates of better quality as indicated by the numerical simulations.
Realising and Compressing Quantum Circuits With Quantum Reservoir Computing

Abstract Quantum computers require precise control over parameters and careful engineering of the underlying physical system. In contrast, neural networks have evolved to tolerate imprecision and inhomogeneity. Here, using a reservoir computing architecture we show how a random network of quantum nodes can be used as a robust hardware for quantum computing. It induces quantum operations by optimising only a single layer of quantum nodes, a key advantage over the traditional neural networks where many layers of neurons have to be optimised. We demonstrate how a single network can induce different quantum gates, including a universal gate set. Moreover, we show that sequences of multiple quantum gates in quantum circuits can be compressed with a single operation, greatly reducing the operation time and complexity. As the key resource is a random network of nodes, with no specific topology or structure, this architecture is a hardware friendly alternative paradigm for quantum computation.
How About an Online Scavenger Hunt?

Nonprofit Communications ReportVolume 19, Issue 5 p. 5-5 Engaging Your Community How About an Online Scavenger Hunt? First published: 05 April 2021 https://doi.org/10.1002/npcr.31715Read 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 onEmailFacebookTwitterLinked InRedditWechat No abstract is available for this article. Volume19, Issue5May 2021Pages 5-5 RelatedInformation
Query optimisation with weighted fish school search in ontological database with application of bioinformatics

Making queries from large ontological database has a severe problem of generating query plans as it is made in form of left tree search form. This restricts the querying for composite applications and speed of acquiring query results. In such a scenario the most prominent approach is to optimise the indexing of graph nodes in ontological database and many evolutionary and particle of swarm optimisation (PSO)-based approach had already been attempted. However, loss of diversity and unanticipated convergence causes the solution to remain sub-optimal. In this study we present a weighted fish school searching-based query optimisation technique owing to its scalability and self control functioning with the application of bioinformatics. It creates probabilistic logic-based weight system for the fish school search in a hierarchical tree form which results in increased accuracy when put in comparison with standard PSO-based methods and its other variants.
Location Based Services for Sharing Using Trusted Server

The main aim of location-sharing is to provide current location information to their designated users. Nowadays, Location Based Service (LBS) has become one of the popular services which are provided by social networks. As LBS activity makes use of the user's identity and current location information, an appropriate path has to be utilized to protect the location privacy. However, as per our knowledge, there is no access to protecting the location sharing with the complete privacy of the location. To consider this issue, we put forward a new cryptographic primitive functional pseudonym for location sharing that make sure privacy of the data. Also, the proposed approach notably reduces the computational overhead of users by delegating part of the computation for location sharing to a server, therefore it is endurable. The primitive can be widely used in many MOSNs to authorize LBS with enhanced privacy and sustainability. As a result, it will contribute to proliferate LBS by eliminating user's privacy concerns.
LEADERSHIP QUALITIES OF A FUTURE OFFICER AND READINESS FOR PROFESSIONAL ACTIVITY IN THE CONTEXT OF USING INNOVATIVE EDUCATIONAL METHODS

Under the modern conditions of social development, the significance of leadership qualities of an individual increases. The article is devoted to leadership as a topical issue of future officers' military and professional training. Leadership, as a specific type of management relationship, is based more on the process of social interaction, assuming the presence of followers in the organization, rather than subordinates. Thus, the leader-commander-subordinate relationship inherent in traditional management is replaced by the leader-follower relationship, which is much more complex and requires a high level of interdependence among participants. The paper presents theoretical interpretations of the content of leadership and leader, the nature of leadership is compared with management itself, the concepts of leader-manager-commander-in-chief of military formation are compared, the specific features of military activity that require the presence of leadership qualities of officers are outlined. Innovative methods are recognized as a priority in educational activity for the formation of leadership characteristics and skills, acquisition of the necessary competencies of a future military specialist in both professional and communicative aspects. On the basis of personal pedagogical experience, we outline the most efficient in psychological and pedagogical organization for forming the traits of the leader in cadets - method of projects, role play, training. While using these methods psychological and pedagogical preconditions are directed, aimed at interaction, personal leadership development and developing skills of independent search work, presentation of the results of their activity, formation of analytical, critical thinking, initiative and creativity. Purposeful development of the leader of military formation with the account for the individual-psychological characteristics of the cadets; creation of a developing personality-oriented environment in training and real educational-service and extracurricular interaction (activity content, group dynamics, problems, reflexivity) provide a strong foundation for the development of leadership qualities of cadets. Active implementation of interactive forms (method of projects, workshops, role-playing games, etc.) will be also responsible for the development of leadership qualities of cadets. They can also contribute to the successful professional activity of future officers.
How To Identify Questionnaires For Mixed Reality Applications

After decades of mixed reality (MR) research, researchers' choice of MR-related questionnaires remains limited.A majority of questionnaires used by the community were originally developed for other media platforms.The application of such questionnaires in the context of MR risks undermining the validity of results.In this paper, we propose a method to map both MR and non-MR applications to a shared space to allow using questionnaires from similar non-MR applications as a starting point in the context of investigating their MR counterparts.We identify productivity-entertainment and passive-interactive spectra as two useful dimensions that cut across both MR and non-MR application areas, and combine them to create a 2-dimensional space.The idea is to find where in this space the MR application at hand fits, find its nearest non-MR neighbour, and use the questionnaire(s) targeted at the latter for the MR application under investigation.This approach has the potential to systematise questionnaire selection which in turn can make between-study comparisons more meaningful.We further suggest that research is required to develop new questionnaires that measure meaningful aspects of emerging MR experiences.
Using Logical Operations to Secure LSB2 Data Steganography

Color image steganography is an important task used to secure data and secrete messages, LSB2 method is one of the most popular methods used to secure data transmission by hiding a secrete data into color image. LSB2 method is very simple, efficient and has good quality factors (MSE and PSNR), but it is not secure. In this research paper we will introduce a sequence of logical operation to be implemented with LSB2 to increase the security level of LSB2. This sequence will not negatively affect LSB2 efficiency, and MSE and PSNR values will remain without any changes.