Reviewerly/exHarmony huggingface dataset:
An Enhanced Computational Fusion Technique for Security of Authentication of Electronic Voting System

The detection of a false individual who had not been enrolled as a genuine participant in an election could be potentially detected in electronic voting systems as against paper-based methods. In recent time, one-time password and biometrics have been used to curtail false acceptance of imposters. However, imposters had unlawfully stolen the credentials of genuine individuals, gained unauthorized access, and polled illegitimate votes due to poor authentication methodology. The accuracy of a multi-biometric system is a function of the data type used and fusion method adopted. This paper presented a computational fusion approach that involved the use of fingerprint and randomly generated voter identification number to effectively satisfy the authentication security requirement of the electronic voting system. New architectural and mathematical equations on the proposed approach were presented to tackle the problem of false acceptance rate and improve on the true acceptance rate of a biometric system. Algorithm to achieve the proposed approach was presented in this paper as well.
Language as an object of rational structuring: from classical philosophy to modern science

This article presents a philosophical analysis of the idea and attempts of rational structuring of the language of science and philosophy. This idea was especially popular in philosophy of the Modern Age. The correlation of this idea with the existing features of New European Philosophy is revealed. It is demonstrated that instrumental approach towards language was not accidental: it stemmed from the idea on the sovereignty of mind, which in the XX century was revived in the logical positivism. It was also implemented in practice of modern science since the beginning of scientific revolution of the XVII century. The authors compare the reasoning of the representatives of classical New European Philosophy and representatives of logical positivism with the practice of modern science. Paradoxes of the concept of ideal language are determined. On the one hand, its formation should become a preliminary means for smoothing the path to cognition; while on the other &amp;ndash; it is necessary to cognize the world before building it. Moreover, the introduction of ideal language is possible only on the grounds of the natural. Thus, the flaws of the natural should be eliminated with help of the natural. The dependence of rationally structured language from the natural is retained in the language of modern science. Any of its formalizations and terminologizations is partial. The system of meanings of the traditional language remains the basis and background for interpretation of any scientific theories. Natural languages ensure our affiliation to a certain socio-cultural community with the inherent to it ways of interpreting meanings, within the framework of which the value of scientific cognition becomes evident. &amp;nbsp;
SISTEM INFORMASI ADMINISRASI DAN DATA REKAM MEDIS PASIEN PADA KLINIK SOLEH ALI BERBASIS WEB

Abstract -- Soleh Ali Clinic is an institution engaged in the field of public health. In the Soleh Ali Clinic in patient data collection, drugs, prescriptions, and reports still use the manual way still using paper as a storage medium that can save time in searching patient data related to medical records as well as in patient reports or reports in the clinic. Information System Development Method created by us using SDLC with tools such as DFD in accordance with the database design proposed by ERD. While the data collection techniques used interview, observation and literature study methods. The implementation program carried out on this information system uses the PHP programming language with the CodeIgniter framework and also uses the MySql database. The information system created can overcome the problems that exist in the Soleh Ali Clinic in storing patient data, medical record data and also drug data making the process of public health services can be done quickly, efficiently and also avoid problems that are done manually . Keywords : Information System, Php, Sholeh Ali, Web, Administration
A Study on the Activation of IoT Industry Strategy and Policy in the 4th Industrial Revolution

IoT 산업은 다양한 기업 및 산업의 서비스에 융합되어 부가가치 창출을 하고 있으며, 4차 산업혁명의 핵심적인 인프라로서 모든 산업분야에 확산되고 있다. 특히 타 제품 대비 가전제품은 기술의 변화를 빠르게 수용하여 IoT 가전으로 진화중이다. IoT 가전은 반도체, 센서, 빅데이터, 인공지능의 결합체로서 가전의 새로운 패러다임이자 우리나라의 신성장 동력이다. IoT 산업은 각자 다른 적용 영역에 대하여 오픈되어 있고, 다양성을 보유하고 있으므로 한 가지의특정 기술에 국한될 수 없다. 현존하는 기술들을 어떻게 발전시키고 연결시켜 통합할 것인가에 관하여전략 및 정책 등이 우선적으로 고려되어야 한다. 그러므로 국가적 차원의 합의와 적절한 추진 전략이필요하다. 본 연구는 주요국에서 추진하고 있는 IoT 산업에 대한 전략 및 정책 현황을 분석하여 문제점 파악과함께 활성화 방안을 도출하는 것이 본 연구의 목적이다.The IoT industry is integrated with the services of various companies and industries to create added value. It is spreading in all industries as a core infrastructure of the 4th industrial revolution. In particular, household appliances are rapidly evolving into IoT appliances because they are rapidly changing technology. IoT appliances is a new paradigm of household appliances as a combination of semiconductor, sensor, big data, and artificial intelligence, and it is Korea s new growth engine. The IoT industry is open to different areas of application and has diversity, so it can not be limited to one specific technology. Strategies and policies should be prioritized on how to develop, connect and integrate existing technologies. Therefore, national consensus and appropriate implementation strategies are needed. The purpose of this study is to analyze the current state of strategies and policies for the IoT industry in major countries.
Mingle Model to Improve Introvert Student’s Speaking Skills: Theoretical Constructivism Review

The productive speaking skill is very crucial in foreign language learning for introverted students in era 4.0. The study investigated the effect of mingle model in relation to the students’ speaking performance. Mingle Learning Model (MLM) proposed by Polard and Hess (1997)offered as an approach due to the concept suitability with constructivism theory. The library research designcombined with observations and interviews was used in the study.The results indicated that seven stages of the MLM should be carried outdue to its link with the constructivismtheory of preparation, topic Information,grouping, warming Up, do mingle, discussion, and re-creation.Besides, Introvertsprefer learning a second language at a slower pace sincethey are easily overshadowed by the communication skillsof their extroverted peers,
NARRATIVE TEXT DEVELOPMENT AMONG NON-ENGLISH UNIVERSITY STUDENTS AT LUBUKLINGGAU, INDONESIA

The aims of this study was to know narrative text development among non English University students at Lubuklinggau. This study focused on writing narrative text by using generic structure and grammatical feature. This research was conducted at the first semester students of accounting Bina Insan University Lubuklinggau. Based on the data analysis from the test which was given to the students, can be concluded that. The students correct answer in grammatical feature was 46,33%, in orientation was 74%, in evaluation was 53,16%, in complication was 56,83% and in resolution was 58,83%. It means that the students ability in writing narrative text reviewed from generic structure and grammatical feature is still low. The result of the students test is also can be seen from the students score skill level, there are 16 students in low level and 14 students in medium level. And  the average of students score was 57.7. From the result of the test above, the researcher concluded that the students development in writing narrative text is still low, they are still confuse about the rule in writing narrative text, such as about grammatical feature and Generic Structure. therefore teachers have to find  creative techniques and good methods in teaching narrative text, in order to students will be more interested and understend when teaching and learning process occurs. Keywords: Writing, Narrative Text, Generic Structure, Grammatical Feature
Speckle Noise Reduction of In Vivo Ultrasound Image Using Multi-frame Super-Resolution Through Sparse Representation

An approach for speckle noise reduction in in vivo medical ultrasound image has been proposed. The proposed technique makes use of multi-frame-based super-resolution (SR) image reconstruction which further is performed through sparse representation. This approach makes use of dictionary learning using medical ultrasound images as training data. Furthermore, for the preparation of multiple looks or frames, LoG (Laplacian of Gaussian) filter has been used to make noisy frames which helps in preserving the typical texture of speckle noise generated in real medical ultrasound images. The sets of data include real ultrasound images displayed from in vivo raw RF ultrasound echo.
EFFECT OF ACCELERATED LEARNING ON STUDENTS` READING SKILL IN ENGLISH LANGUAGE

This paper examines effect of Accelerated Learning on Students` Reading Skill in English Language. The objectives of the study include: i). effect of Accelerated Learning on students` Reading Comprehension and ii). Effect of Accelerated Learning on students` vocabulary. Two hypotheses were tested. Junior Secondary School Students one (JSS I) of a selected public schools were the target group of this study. Eighty (80) students in JSS I were selected to constitute the sample size using random sampling technique. Forty (40) control and forty (40) experimental groups were formed to measure the effect of Accelerated Learning. Pretest and posttest were applied to the groups. The data collected were analysed using independent t-test. The findings of the study revealed that Accelerated Learning is very much effective in improving students` reading comprehension; students taught using Accelerated Learning techniques performed better than those taught conventionally in vocabulary retention. Thus, it is recommended that teachers should use Accelerated Learning to improve students` reading comprehension during class sessions and school authorities should encourage teachers to employ Accelerated Learning not only in teaching vocabulary but other language aspects.
Adaptive State Estimation with Subspace-Constrained State Correction

In many applications of state estimation, it is efficient to confine the output-error injection to a prescribed subspace of the state space. This paper considers this problem by applying the unscented Kalman filter and retrospective cost state estimator (RCSE) to linear and nonlinear systems with subspace-constrained state correction. As an application of these techniques, parameter estimation is considered for linear and nonlinear systems with unknown parameters, where the output- error injection is confined to the subspace corresponding to the states representing the unknown parameters.
Fast Reinforcement Learning Algorithms for Resource Allocation in Data Centers

Dynamic resource allocation to satisfy varying, con-current and unpredictable demands from multiple applications is a key need in cloud systems. A fundamental challenge is the need to find the right balance between over-allocation, which satisfies each application’s varying needs without requiring frequent allocation changes, and system efficiency which requires that the allocation exactly matches the application needs. However, allocating resources close to current needs will result in frequent allocation changes. This can be detrimental to applications since there may be fixed costs (state replication, policy reconfiguration, etc.) that need to be incurred by applications for each allocation change. In this paper, we develop an MDP-based dynamic allocation scheme that uses reinforcement learning to satisfy unpredictable application demands. It minimizes the overall resource allocation needed to satisfy varying application demands while meeting application constraints on the rate of allocation changes. We prove convergence bounds and use real-world traces to study the performance.
Dynamic Character Graph via Online Face Clustering for Movie Analysis

An effective approach to automated movie content analysis involves building a network (graph) of its characters. Existing work usually builds a static character graph to summarize the content using metadata, scripts or manual annotations. We propose an unsupervised approach to building a dynamic character graph that captures the temporal evolution of character interaction. We refer to this as the character interaction graph(CIG). Our approach has two components:(i) an online face clustering algorithm that discovers the characters in the video stream as they appear, and (ii) simultaneous creation of a CIG using the temporal dynamics of the resulting clusters. We demonstrate the usefulness of the CIG for two movie analysis tasks: narrative structure (acts) segmentation, and major character retrieval. Our evaluation on full-length movies containing more than 5000 face tracks shows that the proposed approach achieves superior performance for both the tasks.
Hand Gesture Controlled Wheelchair

Haptical technology is a field that is under constant development and that exists in many of today’s products, for example in VR-games and in the controls for vehicles. This kind of technology coul ...
Research Guides: Evaluating Web Resources: Home

When searching for information on the Internet, it is important to be aware of the quality of the information being presented to you. Keep in mind that anyone can host a web site. To be sure that the information you are looking at is credible and of value
Anomaly detection in Context-aware Feature Models

Feature Models are a mechanism to organize the configuration space and facilitate the construction of software variants by describing configuration options using features, i.e., a name representing a functionality. The development of Feature Models is an error prone activity and detecting their anomalies is a challenging and important task needed to promote their usage. Recently, Feature Models have been extended with context to capture the correlation of configuration options with contextual influences and user customizations. Unfortunately, this extension makes the task of detecting anomalies harder. In this paper, we formalize the anomaly analysis in Context-aware Feature Models and we show how Quantified Boolean Formula (QBF) solvers can be used to detect anomalies without relying on iterative calls to a SAT solver. By extending the reconfigurator engine HyVarRec, we present findings evidencing that QBF solvers can outperform the common techniques for anomaly analysis.
Linux Commands, C, C++, Java and Python Exercises For Beginners

This book is for all programmers, whether you are a novice or an experienced pro. The beginner will find its carefully paced exercises especially helpful. Of course those who have already familiar with programming are likely to derive more benefits from this book. After reading this book you will find yourself at a moderate level of expertise in C, C++, Java and Python from where you can take yourself to next levels. The command-line interface is one of the nearly all well built trademarks of Linux. There exists an ocean of Linux commands, permitting you to do nearly everything you can be under the impression of doing on your Linux operating system. Although, this to the end of time creates a problem: by all of so copious commands accessible to manage, you don't comprehend where and at which point to fly learning them, especially when you are learner. If you are facing this problem, and are peering for a painless method to begin your command line journey in Linux, you've come to the right place, as in this book, we will launch you to a hold of well liked and helpful Linux commands.
Game Edukasi Pengenalan Peta Buta Benua Asia Berbasis Android

Abstract -- Learning maps are very useful for studying positions, images of regions, countries and capitals. The learning media used in the teaching and learning process of blind maps only contain printed books. While the atlas and globe books belong to the class with a limited amount, and can only be lent when classes will begin. So students have difficulty if they want to repeat the learning outside the classroom. The process of learning a very large map starts from reading a printed book, then the teacher explains about the geographical location of a country, using the globe in front of the class. This makes students only able to discuss the teacher in front of the class, while the interaction happens only in one direction. The learning process method used by SDS Charitas Batam related to the big map, looks very large has shortcomings and limitations that make it difficult for students to improve the big map material. The method used in designing educational games for introducing Android-based Asian continent maps uses the GDLC method or Game Life Cyle Development and UML or Unified Modeling Language and using Construct 2 software, web 2 apk builder, Adobe Photoshop, and UML strars. The results of this study consist of an educational game for introducing Android-based Asian continents. From the results of the study, it can be concluded that the educational game of introducing a very large Asia-based Android map becomes an interesting and easy-to-understand learning media for 6th grade students of Charitas Batam SDS, increasing knowledge for students in very large Asian map problems, and learning helps learning optimally to students. Keywords :  Game Education,Blind Map, GDLC, Android
Real-Time Fog Removal Using Google Maps Aided Computer Vision Techniques

This paper aims to tackle the problem of impaired visibility for drivers on the road due to fog, which is a safety concern. This novel approach is a unique comparative algorithm through integration with Google Maps and has several embedded functionalities to reduce noise caused by fog. Real-time input is collected in the form of continuous video frames, on which image processing is carried out. This is a two-step process, first using dark channel prior and second using histogram matching with ideal weather Google Street View images. In order to measure the fogginess of the image at each step, horizontal variance is used. The results obtained show a drastic increase in variance during the two-step process, which is in line with the theory that the higher the variance, the lesser the fogginess. The fog-free images are retrieved and put together to form continuous frames of a video, which is displayed on the driver’s screen in real time.
How to design learning applications that support learners in their moment of need ? didactic requirements of micro learning

The COVID-19 pandemic is showing the limits of our traditional education systems that mainly build on classroom lectures with face-to-face interaction between teachers or trainers and learners Now more than ever, there is a growing need for digital learning formats that make it possible to maintain teaching in universities, schools, and enterprises despite the spatial distance from the learners To address these new conditions of learning, short and small learning units are a promising approach when it comes to demand-oriented learning solutions However, the question of how to design didactically appropriate micro content is not yet answered by research To close this research gap, we conducted a qualitative interview study with professionals in the field of instructional design and technology-enhanced learning-design With this information, we were able to derive 20 requirements for designing effective micro content © 2020 26th Americas Conference on Information Systems, AMCIS 2020 All rights reserved
IoT-Enabled Smart Mobility Devices for Aging and Rehabilitation

Many elderly individuals have physical restrictions that require the use of a walker to maintain stability while walking. In addition, many of these individuals also have age-related visual impairments that make it difficult to avoid obstacles in unfamiliar environments. To help such users navigate their environment faster, safer and more easily, we propose a smart walker augmented with a collection of ultrasonic sensors as well as a camera. The data collected by the sensors is processed using echo-location based obstacle detection algorithms and deep neural networks based object detection algorithms, respectively. The system alerts the user to obstacles and guides her on a safe path through audio and haptic signals.
Comparative study of clarinets and oboes

The oboe and clarinet are relatively similar instruments in their size and shape yet create such a different sound. This study is an exploration of the reasoning behind their differences through a detailed acoustical analysis and geometrical study of these instruments, comparing and contrasting their properties. The oboe and clarinet are comparable in size but have some key differences. The oboe’s conical shape allows for all the harmonics to be present, while the clarinet is mostly cylindrical, except for the bell, so that mostly odd harmonics are present. The oboe’s keys have holes much smaller than those of the clarinet. Looking to find differences in acoustical spectra based on their geometric differences, samples of low, medium, and high ranges on both instruments using the same concert pitches have been taken. Data has been taken in a regular lab setting as well as an anecoic chamber in order to look for differences in harmonic content for each instrument. The data are consistent with the notion that the shape of the instruments does contribute to the spectra.
Testimony Before the U.S. House of Representatives – Committee on Financial Services – Task Force on Artificial Intelligence

I have divided this testimony into four sections, which discuss: (1) several types of automation currently being deployed in capital markets and the financial sector, and how they affect decision-making; (2) how machine learning (ML) and automation can help and hurt workers by disruption of the current and future financial services workforce; (3) what “RegTech” is and how ML can be deployed to help regulators better supervise financial institutions; and (4) algorithmic bias.
A Structured Approach to GDPR Compliance

The European General Data Protection Regulation (GDPR, EU 2016/679), adopted by the European Parliament has profoundly changed the legislative approach to the protection of personal data by the European Union. The GDPR provisions require organizations to make deep changes. Organizations have to shift from an approach based on the adoption of minimum-security measures, provided by the EU Directive of 1994, to a proactive approach based on accountability. Organizations that manage personal data of EU citizens have to adopt systems of verification and continuous improvement and adopt principles such as privacy by design and privacy by default. The rule of “privacy by design” calls for privacy to be taken into account throughout the whole engineering process. A key point is the methods for checking compliance with GDPR. This paper proposes a structured approach based on business process modelling, to support compliance with the GDPR. We have identified an approach that has to identify the most important key points for GDPR compliance.
Registration requirements according to the TVTG (aka the Token Act/Blockchain Act)

Abstract The examination of the economic use of blockchain technology and the impact of the so-called token-based economy have enjoyed great popularity in Liechtenstein in recent years. The legal aspect of tokenized structures and assets was a major challenge for the legislator. In order to ensure a solid legal framework and legal certainty for entrepreneurs and users, the Liechtenstein parliament passed the Tokens and Trusted Technology Service Providers Act (“TVTG”). For the first time, a nation has regulated this emerging future market through comprehensive legislation and offers companies optimal framework conditions. The TVTG has been in force since 1 January 2020. This article seeks to outline the legal background for the registration requirements for Trustworthy Technology Service Providers.