Reviewerly/exHarmony huggingface dataset:
Null-Space Based Control Applied to a Formation of Aerial Manipulators in Congested Environment

The present work shows a control strategy based on null-space for monitoring the trajectory of a training of aerial manipulators in congested environments. By means of the null-space control, several control objectives can be achieved, assigning a priority to each of the objectives. The strategy proposes the control of a homogeneous formation of three aerial manipulators for the tasks of trajectory tracking and the evasion of obstacles. The aerial manipulator is composed of a quadcopter and a robotic arm of three degrees of freedom. Obstacle avoidance uses the definition of a fictional potential field. The stability of the proposed controls is verified according to the Lyapunov criteria and the results obtained from simulation show the good performance of the proposed controller.
Um estudo de caso em cadeias de blocos: principais mecanismos de consenso e a plataforma Hyperledger Fabric

Blockchain is a disruptive technology whose goal is to create a distributed record on apeer-to-peer network. In order to ensure the decentralized nature of the registry, mecha-nisms that provide consensus, or agreement, are fundamental for achieving consistencyin the system. These mechanisms are, therefore, a critical part in the study of block-chain and have, for this reason, been an important target of research in the area. Thepurpose of this work is to provide an overview of the blochain technology, focusing onits consensus mechanisms and the blockchian development platform Hyperledger Fabric.The foundations of this technology are discussed, approaching topics such as ByzantineGenerals Problem [1], the properties of immutability, decentralization and integrity, aswell as the structure of blocks and how they are linked to each other, besides applicationsin several sectors. Some of the main existing probabilistic and deterministic consensusmechanisms, like Proof of Work [2] and PBFT [3], respectively, will be evaluated in lightof the safety and liveness concepts and the limitations imposed by the CAP Theorem [4],exposing the positive and negative points of each algorithm. In addition, it will be descri-bed how Hyperledger Fabric works alongside with the pluggable consensus mechanismsand its modular architecture.
The Generic InsurTech Ecosystem and its Strategic Implications for the Digital Transformation of the Insurance Industry

The emergence of insurance technology companies (InsurTechs) through the easy access of digital technologies is transforming the entire insurance industry and heralding a new era of business models. With digital technologies such as big data analytics, robo advisors, and mobile distribution models or blockchain, InsurTechs are challenging the prevailing position of traditional insurance institutions. However, the literature does not provide a structured overview of digital transformation (DT) in the insurance industry, including strategic implications and inter-organizational innovation patterns. By analyzing 956 InsurTechs, this paper visualizes the 34 generic roles and value streams within the insurance ecosystem using the e3-value method. Moreover, through semi-structured interviews with industry experts, we identify and discuss five strategic implications following seven inter-organizational innovation patterns of DT in the insurance industry. We contribute to the literature by examining DT in the insurance industry from an inter-organizational perspective. Practitioners may apply the model to position themselves in a digital insurance ecosystem and to identify disruptive actors or potential business opportunities.
Ant Colony Algorithm Based on Upper Bound of Nodes for Robot Path Planning Problems

In order to solve the problems of ant colony algorithm such as low search efficiency, slow convergence speed and easy to fall into local optimum, an improved ant colony algorithm is proposed in this paper. In the proposed algorithm, the upper bound of path nodes is adjusted and the grid map mode is integrated. The upper bound of nodes are adjusted for driving the optimization process of algorithm. Experiment simulation is carried out based on two specific robot path-planning examples. Results show that the proposed ant colony algorithm can guarantees the global optimization capability, and it also can improve the efficiency of path planning.
A Secured and Accessibility Controlled Sharing of Images with Multiple Users

The creation of Multimedia images and files has been increasing day by day that in turn leads to suspicious acts and threats. Many research works have been preceded for the same. In the recent works, confidential mage data security based on encryption and watermark (CIDSEW) was proposed in which security features. Here, secrecy information is incorporated with the images, to be shared through watermarking technique. Nevertheless, it doesn’t give a secure way for access restriction when it goes for multiple users because the encryption algorithm used implants the whole image which weakens the functioning where the sensitive parts of the images can’t be centered approximately. The major aim of the proposed work is to introduce a new security algorithm for secure sharing of text via the watermark image. In order to overcome the restrictions in the existing technique, the novel approach namely Secured and Attribute based User access control (SA-UAC) methodology has been presented in the proposed work. The proposed work is done in MATLAB which demonstrates that the proposed work prompts the preferred result. The results of the proposed and existing methods are measured in terms of Peak Signal-To-Noise Ratio (PSNR), Mean Square Error (MSE) and Correlation.
Are Your Intentions Honorable?

As media giants test the waters of new media, the key thing to watch is their intent. Ordinary people and companies have extremely limited access to it. Public-access cable TV is generally a joke; letters to the editor appear many issues after the offending article. With the astonishingly swift growth of on-line services and Internet connectivity, many new topologies for communication are emerging. In fact, people can build Web sites using the same PCs and Internet connections that they need to do their jobs. Editorial judgment matters, and media conglomerates have hired plenty of it. The communities that are creating and recreating resource lists and discussions about every topic imaginable need help sorting what matters from what doesn’t and presenting it all in compelling, accessible ways. Publishers and telecommunications companies may well merge, but what they do with their merged talents will be very different from the dystopian, one-way, video-on-demand future that seems to have motivated mergers before.
ANCONE: An Interactive System for Mining and Visualization of Students’ Information in the Context of PLANEA 2015

Data mining has been widely used in different areas of knowledge, and education is no exception. Data mining uses computer models to analyze data and answer research questions to help in decision making. This article uses data from the PLANEA 2015 Mathematics in Middle school (last year of Middle school) test, which measures the academic achievement and provides a personal, family and school context, in order to find those characteristics that are related to the academic level of the tested students. In this article, an interactive visualization system was developed that allows observing interesting patterns and association rules by combining relevant attributes (variables) and the States. To reduce the analysis space, the Correlation-Based Feature Selection method was used to reduce categorical and numerical attributes. The results show a significant reduction (93%) in the number of attributes, with very little loss of information, when certain attributes are eliminated. Particularly, the 232 categorical attributes obtained from each student are reduced to only 18 attributes, which are correlated with the results of students in the PLANEA test. In addition, empirically it was discovered that choosing the mode from the labels of plausible values as the target class increases the accuracy in classifiers used to show the goodness of the reduction obtained. Some of the relevant attributes are the "AcademicAspiration", "FamilyResources", "MotherStudies" and "FatherStudies". From the 30 States with information, only 8 are in the Basic level, the other States are in the Below Basic level.
Collision algorithm design based on dynamic rotation model

Abstract This article aims to study the inelastic collision between system, based on the daily life of drum ball collision problems, by combining the collision body as well as the impact of instantaneous rotation process of damping kinetic energy consumption situation, designs a Rotating collision model algorithm model of concentric drums collision problem, and then, apply those algorithms to stimulate the size of the drum’s offset that produced by the effect of different tension.
Calculation and Visualization of the Speed of Movement of the Working Point of the Exploratory Research Process

Today it is important to reduce the time spent on exploratory research. To achieve the goal, problems are solved from the field of computer science and cybernetics, which are interdependent. The article proposes new theoretical approaches to the mathematical representation and visualization of moving the working point of the exploratory research process along the planes of the xyz coordinate system. For this, formulas were obtained for the speed of movement of the working point, which reflects the course of the exploratory research. They were obtained using differentiation of the formulas of the dependences of the probabilities on the flow intensity and the time taken to complete the stages of exploratory research on time. To do this, in the theory of the article, a stream of scientific information was appropriately introduced, which changes at each stage. The flow of scientific information can be expressed through useful knowledge for solving the next stage, obtained during the execution of the current one. The results will help to express qualitative indicators of effectiveness and quantitative indicators which are depending on time t.
Patents Court holds machine gun ammunition bag patent infringed but refuses damages inquiry

Excel-Eucan Ltd v Source Vagabond Systems Ltd [2019] EWHC 3175 (Pat) (21 November 2019) The Patents Court held that the defendant’s bag for holding linked rounds of ammunition fell within the scope of a patent licensed from the claimant, under the doctrine of equivalents, but refused an inquiry as to damages, since no loss could be identified. HHJ Melissa Clarke found the bag constituted an immaterial variant after applying the ‘Actavis’ questions (Actavis UK Ltd v Eli Lilly & Co [2017] UKSC 48). Furthermore, the judge found that the bag was royalty-bearing pursuant to the licence agreement, even if the patent were eventually determined by the UK Intellectual Property Office (UK IPO) to be invalid. HHJ Clarke refused an application for an inquiry as to damages. Due to the absence of any identification of the relevant type of damage flowing from the breach of the licence agreement, the judge decided that ordering such an inquiry would be ‘disproportionate and outwith the overriding objective’.
Virtual Currencies: New Challenges to the Right to Privacy? An Assessment under the V AML Directive and the GDPR

Abstract The purpose of this article is to analyse virtual currencies, with specific regard to Bitcoins, in light of a specific human right, the right to privacy. In the first part, this contribution will reflect on the effectiveness of the Fifth European Union Anti-Money Laundering Directive (V AML Directive) in ‘regulating’ the exchange between fiat and virtual currencies for the purpose of anti-money laundering and counter-terrorist financing. In the second part, it will explore whether the General Data Protection Regulation (GDPR) is applicable or not to the virtual currencies network.
The Perception of English Focus among Korean EFL Learners

본 연구는 한국 학생들의 효과적인 의사소통을 위한 영어 발음 교육에 대한 시사점을 제공하고자 한국인 고등학교 영어 학습자들의 영어 초점 인식에 대해 조사하였다. 인식 테스트에서는 열 개의 무표적(unmarked) 문장들과 각 다섯 세트로 구성된 세 종류 초점(새 정보, 대조, 강조) 문항들이 제시되었고, 학습자들은 문장 내 어느 단어가 초점을 받아야 하는지 선택하였다. 실험 결과, 한국인 영어학습자들은 대체적으로 영어 초점에 대해 상당히 낮은 인식 정도를 보였으며, 세가지 종류의 초점 중에서는 강조 초점이 새 정보 초점과 대조 초점에 비해 유의미하게 낮은 정답률을 보였다. 오류 분석을 통해 한국인 영어 학습자들의 유난히 낮은 강조 초점의 정답률은 기능어와 부정어의 영향에서 비롯된 것으로 추정하였다. 학습자들의 영어 초점 인식 정도는 그들의 학교 영어 성적과 유의미한 상관성을 보이지 않았다.This study aims to investigate the perception of English focus among Korean EFL learners in the hope of gaining some insight into the development of pronunciation teaching for effective communication. The perception experiment asked the participants to identify focus within ten unmarked sentences and five sets of each focus type (new information, contrastive, emphatic). The results showed that the overall focus perception accuracy of Korean EFL learners was considerably low. Among the three focus types, the accuracy rate of emphatic focus was significantly lower than that of new information and contrastive foci. Through error analysis, the particularly low accuracy of emphatic focus was attributed to the effect of focus on function words and negative words. The focus perception accuracy showed no correlation with the learners’ school English test scores. Based on the results of the study, some pedagogical implications for English pronunciation teaching in Korea were discussed.
Strategies and Effects of Multiple Narration in Hyperfiction

This study analyzes the case of multiple narration in hyperfiction works. Hyperfiction is narrative text based on a ‘unit’ and the ‘hyperlink’ that connects it, multiple narration is a narrative technique which two or more narrators participates in storytelling. The works to be analyzed are hyperfictions that were recently created based on the blog platform in Korea. Of these works, ‘God of Others’, created in 2019, is a good representation of the evilness hidden inside of human beings by strategically utilizing the technique of multiple narration. This study conceptualizes the complex multiple narrative structure of hyperfiction as a multiaxial structural model. The multiaxial structure of hyperfiction is a structure in which there are axes composed of several linearly arranged units, and each unit existing on each axis can be connected to units in other axes. The recent hyperfiction works created in Korea are mostly biaxial or triaxial hyper narratives, while ‘God of Others’ is analyzed as a work with a 7-axis structure. As ‘God of Others’ is complex in structure, there are many aspects of the narrators. ‘God of Others’ is a story about three Sociopath-like murderers and their surrounding victims. The narratives of the victims are described through external focalization, and the narratives of offenders such as Min Seung, Jun Ho and Yoon Ah are described through internal focalization. The narratives of the victims are conveyed through extremely objective and activist descriptors, and the narratives of the perpetrators through special aspects of the descriptors with limited vision. ‘God of Others’ strategically utilizes multiple narration to escape the solid physicality of modern printing fiction and acquire a changeable body of hyper narrative.
A Pilot Examination of an Improved Agile Hybrid Model in Managing Software Projects Success

Managing software projects successfully requires the use of effective and robust methodologies. The Agile Manifesto in 2001 introduced 4 values and 12 principles as a set of development and management criteria to provide a more suitable and effective way to design and use agile methods in software projects. The agile management methods have improvedthe success rates of software projects, but the increase is not significant. Agile hybrid management methodshave shown more promise when compared to pure agile methods with an overall increase of 16%. A review of the current hybrid models have identified some gaps to be addressed and improved for the hybrid approaches.This paper presents a pilot study analysis of an initial model development for an improved agile hybrid model with  experts in the software industry.The findings support the model based on the questionnaire review and a pilottest analysis.
Dynamic Update Siamese Networks with Deeper Features

Abstract Visual object tracking has been a concern topic these years, and many trackers have achieved good results in various fields. These researches and breakthroughs have made many improvements to solve problems such as drift, lighting, deformation and occlusion. In this paper, we improve the structure of the AlexNet [1] network by designing the three important influencing factors of the receptive field size, total network step size, and feature filling of the twin network. Apart from this, we add a smoothing matrices and a background suppression matrices to effectively learn the features of the first few frames as much as possible. Fuse multilayer feature elements can learn online about target appearance changes and background suppression, and we train them by using continuous video sequences.
Specialized Corporate Disclosures and Information Asymmetry in U.S. Capital Markets

The aim of this paper is to investigate the effect of conflict mineral disclosures under Section 1502 of the Dodd-Frank Wall Street Reform and Consumer Protection Act of 2010 on the information environment of disclosing firms. The United States Congress shoehorned Section 1502 when passing the Dodd-Frank Wall Street Reform and Consumer Protection Act of 2010. Section 1502 requires the U.S. public companies to disclose, in their SEC filings, detailed audited information relating to the sourcing and use of conflict minerals from the Democratic Republic of Congo (DRC) and adjoining countries comprising most of the Central Africa. As clearly stated in Section 1502, the intent of the Congress in requiring U.S. public companies to disclose this information was to achieve a very specific social and a foreign policy goal of cutting funding to the militia in DRC who were committing scores of atrocities on African women and children by forcing them to work in mines yielding conflict minerals. There was a strong reaction from all sides in response to the passing of the conflict mineral section as well as of the SEC Final Rules implementing Section 1502. In this paper, we examine the impact of conflict-mineral disclosures on information asymmetry in the U.S. capital markets. Using cross-sectional regressions and difference-in-difference research design, for our sample of 1,835 firms, we find that for firms making conflict mineral disclosures, the bid-ask spread increases, trading volume decreases, and price volatility increases. These findings suggest that using SEC’s current financial reporting and disclosure regime, which is designed to protect investors, increases information asymmetry and imposes unwarranted and adverse social consequences on market participants. Our findings are of relevance to the SEC and other regulators around the world in the current environment where stakeholders are increasingly demanding corporate social responsibility disclosures.
GI Elections with POLYAS: a Road to End-to-End Verifiable Elections

Starting from 2019, the annual elections of the GI (German Society for Computer Scientists) will be carried out using a new online voting system developed by POLYAS, aiming at providing high, state-of-the-art security guarantees. We describe the steps that POLYAS plans to take together with the GI and academic partners in order to achieve the level of transparency and trust that is expected from modern online voting. The participation of the academic partners is the key factor to make the verification process both practical and meaningful.
PROFESSIONAL TRAINING OF ELECTRONICS ENGINEERS: APPLYING US EXPERICENCE TO UKRAINAN HIGHER EDUCATION INSTITUTIONS

The article discusses the current state of professional training of engineers, in particular, electronics engineers in Ukrainian higher education institutions (HEIs) and explores best practices from US HEIs. The research outlines the features of professional training of electronics engineers and recent changes in Ukrainian HEIs. Such challenges for Ukrainian HEIs as lack of collaboration between higher education and science with industry, R&amp;D cost reduction for HEIs, and downsizing the research and academic staff, the disparity between the available quality of human capital training and the demanded are addressed. The study attempts to identify successful practices of US HEIs professional training of engineers in order to suggest potential improvements in education, research, and innovation for training electronics engineers in Ukraine.
The facilitation of organised fraud by professional enablers and money launderers

This study has examined the recruitment and routes into organised fraud of professional enablers and money launderers. The study assessed the enforcement and regulatory response to the facilitators of organised fraud, and explored preventative measures. The research involved case studies of a small number of imprisoned professional enablers and money launderers, fifty interviews with police investigators, regulators and other key stakeholders, and a web-based survey of 105 solicitors
Detecting influencers in social media using information from their followers

espanolDada la tarea de encontrar influencers en un dominio dado (i.e. banking) en una red social, en este articulo investigamos (i) la importancia de caracterizar a los seguidores para la deteccion autom´atica de influencers; (ii) la manera m´as efectiva de combinar senales obtenidas de los seguidores y de los perfiles principales para la deteccion automatica de influencers. En este trabajo, hemos modelado el discurso usado por los usuarios en dos dominios, automotive y banking, asi como el lenguaje utilizado por los influencers en dichos dominios y por sus seguidores, y utilizamos estos Modelos de Lenguaje para estimar la probabilidad de ser un influencer. Nuestro mayor descubrimiento es que los influencers no solo dependen de su conocimiento sobre el dominio sino del de sus seguidores; por lo tanto, cuanto mayor conocimiento y numero de expertos haya entre sus seguidores, mayor seria la probabilidad que el perfil sea de un influencer. EnglishGiven the task of finding influencers of a given domain (i.e. banking) in a social network, in this paper we investigate (i) the importance of characterizing followers for the automatic detection of influencers; (ii) the most effective way to combine signals obtained from followers and from the main profiles for the automatic detection of influencers. In this work, we have modeled the discourse used in two domains, banking and automotive, as well as the language used by the influencers in such domains and by their followers, and used these Language Models to estimate the probability of being influencer. Our most remarkable finding is that influencers not only depend on their expertise on the domain but also on that of their followers, so that the more knowledge and number of experts among their followers, the more probability of being influencer a profile has.