Reviewerly/exHarmony huggingface dataset:
Kinematic Model and Verification of the Modular Omni-directional Mobile Platform

With the increasing worldwide demand to automate product distribution, technology firms are introducing various mobile robots to the market. Generally, the maneuverability of the mobile robot is determined by the type and location of its wheels. Omnidirectional mobile platforms suitable for the agile motion required during instantaneous obstacle avoidance are widely used in congested environments like indoor factories. Previous omnidirectional mobile robots have been developed for specific purposes that prevented operation beyond the predesigned limits. To overcome this, we propose an omnidirectional mobile platform that can be connected to another platform. This type of modular structure can improve the efficiency of the entire logistics network by allowing flexible deployment according to the workload. The proposed system is able to generate holonomic movement with four mecanum wheels, and can connect with different mobile platforms using a connecting module at the side of each platform. To derive the kinematic model of the connected mobile platform, we first derive the analytical kinematic relationship between the connected platform center and each wheel. Next, we conducted simulations using RecurDyn, a dynamic simulation program, for three different types of connected mobile platforms. Our simulation results show that the position and velocity trajectory derived from the kinematic model well follows the reference trajectory at different connection cases.
Global Similarity with Additive Smoothness for Spectral Segmentation

Faithful representation of pairwise pixel affinities is crucial for the outcome of spectral segmentation methods. In conventional affinity models only close-range pixels interact, and a variety of subsequent techniques aims at faster propagation of local grouping cues across long-range connections. In this paper we propose a general framework for constructing a full-range affinity matrix. Our affinity matrix consists of a global similarity matrix and an additive proximity matrix. The similarity in appearance, including intensity and texture, is encoded for each pair of image pixels. Despite being full-range, our similarity matrix has a simple decomposition, which exploits an assignment of image pixels to dictionary elements. The additive proximity enforces smoothness to the segmentation by imposing interactions between near-by pixels. Our approach allows us to assess the advantages of using a full-range affinity for various spectral segmentation problems. Within our general framework we develop a few variants of full affinity for experimental validation. The performance we accomplish on composite textured images is excellent, and the results on natural images are promising.
Efficient Number Comparison in the Residue Number System based on Positional Characteristics

An important operation for data processing is a number comparison. In Residue Number System (RNS), it consists of two steps: the computation of the positional characteristic of the number in RNS representation and comparison of its positional characteristics in the positional number system. In this paper, we propose a new efficient method to compute the positional characteristic based on the approximate method. The approximate method as a tool to compare numbers does not require resource-consuming non-modular operations that are replaced by fast bit right shift operations and taking the least significant bits. We prove that in case when the dynamic range of RNS is an odd number, the size of the operands is reduced by the size of the module. If one of the RNS moduli is a power of two, then the size of the operands is less than the dynamic range. It makes our method efficient for hardware implementation of cryptographic primitives and digital signal processing.
Computational Forensic Authorship Analysis: Promises and Pitfalls

The authorship of questioned documents often constitutes important evidence in criminal and civil cases. Linguistic stylistic analysis can often help to determine authorship. Computational methods have been applied to authorship analysis in academia for decades, and in recent years have achieved the levels of reliability needed for application to real-world cases. This article surveys the dierent types of computational authorship analysis methods and their components in a practical vein—describing the assumptions each makes, the analytic controls they require, and the tests needed to measure and ensure their reliability. Specically, I discuss many of the potential pitfalls in their application, to guide practitioners in more eectively achieving trustworthy and understandable results. It must always be remembered, though, that there is no substitute for expertise, experience, and careful human judgment.
LibGuides: Open Education Week 2019: Workshops for Faculty

Here are some activities for faculty and students to promote Open Education Week! Workshops for Faculty
Transitive Pseudonyms Mediated EHRs Sharing for Very Important Patients

Electronic health record (EHR) greatly enhances the convenience of cross-domain sharing and has been proven effectively to improve the quality of healthcare. On the other hand, the sharing of sensitive medical data is facing critical security and privacy issues, which become an obstacle that prevents EHR being widely adopted. In this paper, we address several challenges in very important patients’ (VIPs) data privacy, including how to protect a VIP’s identity by using pseudonym, how to enable a doctor to update an encrypted EHR with the VIP’s absence, how to help a doctor link up and decrypt historical EHRs of a patient for secondary use under a secure environment, and so on. Then we propose a framework for secure EHR data management. In our framework, we use a transitive pseudonym generation technique to allow a patient to vary his/her identity in each hospital visit. We separate metadata from detailed EHR data in storage, so that the security of EHR data is guaranteed by the security of both the central server and local servers in all involved hospitals. Furthermore, in our framework, a hospital can encrypt and upload a patient’s EHR when he/she is absent; a patient can help to download and decrypt his/her previous EHRs from the central server; and a doctor can decrypt a patient’s historical EHRs for secondary use under the help and audit by several proxies.
Effect Analysis on Laboratory Work Skill Training Provided by Madda Walabu University for Secondary Schools (2013-2017G.C) in Bale Zone, South East Ethiopia

Incorporating Laboratory work and implementing in real context are different things.As one of community service Madda Walabu University gave training on practical skills for teachers by identifying the problems related to implication of laboratory work.The project title was "Awareness and Skill Training for natural science teachers in Secondary and preparatory School from 2013-2015G.C".Hence, the objective of this research was to analyze effect of training on the implementation laboratory work.Among 57 secondary schools in Bale zone 15 schools received the training and 42 did not.For comparison purposes 6 trained and 6 not trained schools were selected which comprise 20% form the total schools.Primary data were gathered from 72 teachers and 12 principals using in depth interview and the questionnaires for 404 Grade 10 students.Secondary data were collected from documents such as annual plans and laboratory reports, annual reports.A descriptive survey has been conducted to analyze the effect of the training on schools laboratory works.The result of the study has showed that there are no significant changes were found in implementation of laboratory works in schools as a result of the trainings.The major hindering factors for laboratory works to be functional are shortage lab technician and resources (lab materials, chemicals, well organized and separated Laboratory room) and large class size.Unless these barriers are tackled prior to the training, it is impossible to expect achievement in objectives wanted by providing only the training.Prior to the training the school environment should be facilitated to handle the implementation of the Laboratory works.The skill training is not required in the schools with poor facilities.The educational offices should seriously plan and enforce the provision of the required facilities for the schools and professional support for the teachers.
Bitcoin Price Anomalies: P2P Trading on LocalBitcoins

The purpose of this paper is to understand the high Australian dollar Bitcoin prices on LocalBitcoins (localbitcoins.com), which appear to be out of line with market prices.  The findings indicate that the price driver is not a reaction to market conditions, but a consequence of the high risk payment methods deemed acceptable by LocalBitcoins.  With sellers being allowed to offer Bitcoins in exchange for gift card codes, Bitcoin is traded at four to five times the market price.  These trades are typically small in value and the construction of a value-weighted daily Bitcoin price series reveals more accurately LocalBitcoins’ daily price movements.  Benchmarking against CoinDesk’s Bitcoin Price Index (BPI) shows that LocalBitcoins trades can fall above or below this benchmark.  When viewed in relation to the LocalBitcoins two market system, a value-weighted price can be calculated to determine a daily premium and discount.  Value-weighted prices can also be used to compare trades on LocalBitcoins with the more traditional Bitcoin exchange BTC Markets.  These comparisons reveal that prices on LocalBitcoins are not more volatile than prices on BTC Markets or the BPI.  It is recommended that any analysis of price behavior on LocalBitcoins take into account the dollar value of the trades to address the adverse impact that high price-low value trades have on volatility.  Otherwise, a conclusion of high volatility will continue to persist.
Action Research on Inclusive Education through the Learning Community Class

This action research is about how the learning community class is applied to inclusive education. The learning community class has recently become a leader in classroom innovation to practice the class no child left out in general education. The participants in this study consisted of sixth-grade students in N elementary school and included one student with a severe disability, one student with a mild disability and nine general education students. Three general education teachers and two special education teachers also participated in the learners’ community. We collected data from eight classes and nine discussions. As a result of analysis First, we realized that the learning community class was suitable for inclusive education. Second, we studied the participants’ changes and reflections. This study practiced inclusive education through classroom innovation movement played a leading role in general education. Therefore, this study will help teachers to overcome viewing general education and special education as separate, and instead regard them as part of a single education system.
Metode Belajar SQ3R (Survey, Question, Read, Recite, Review) Dalam Upaya Peningkatan Pemahaman Bacaan Siswa

The aim of the research is to know the effectiveness of SQ3R method (Survey, Question, Read, Recite, Review) in improving student reading comprehension in indonesia language. The method of the research is qualitative approarch by using obsevation technique and literary study based on the relevant resources in improving student reading comprehension. The result of the research is SQ3R method can improve student reading comprehension. It can be seen that student be active and focus readers so that they can comprehend the texts both implicit and explici effectively, there is improving ability to communicative, and the diffrences of average student reading score in indonesia language at the tenth grade of sma Mathla’ul Anwar Menes-Pandeglang-Banten. In short SQ3R method is effective to use in improving students reading comprehension. How ever, there is weaknesses in this research, it is better to do further research using more observation to get accurate data.
Peningkatan keterampilan menyajikan data dalam bentuk diagram melalui model Problem Based Learning kelas IV sekolah dasar

The purpose of the reseach is to improve the skills of presenting data in the form of diagrams through the use of the Problem Based Learning model in fourth grade students of SD N Laweyan No. 54 Surakarta 2018/2019 school year. Classroom Action Research is conducted in two cycles, each cycle consisting of two meetings with four stages, namely planning, action, observation, and reflection. The subjects of this study were teachers and fourth grade students, amounting to 34 students. This study uses observational techniques, interviews, documentation, and tests. Data analysis using interactive data analysis with steps of data reduction, data presentation, and conclusions. The data validity test technique uses source triangulation and technical triangulation The results showed that the average score of pre-action class scores of 17.97 with 0% classical completeness increased to 75.88 with 61.76% classical completeness in the first cycle and increased again to 87.25 with a classical completeness of 88.24% in cycle II. Based on the results of the study, it can be concluded that through the application of the Problem Based Learning model can improve the skills of presenting data in the form of diagrams in class IV SD N Laweyan No. 54 Surakarta 2018/2019 school year.
Professionelle Kompetenzen von Lehrpersonen im Kontext des digitalen Wandels

Digital transformation has far-reaching impact on economy and society. This also affects the education sector and thus teachers. The aim of this article is to develop and validate by means of self-assessment a framework of teachers’ professional competencies in the context of digital transformation with focus on the commercial domain. The proposed model is based on the concept of professional competence of Baumert and Kunter (2006) and considers elements of Koehler and Mishra (2009), Blomecke (2003) and Carretero et al. (2017). The facets of our framework are: content knowledge, pedagogical knowledge, pedagogical content knowledge, advisory and organizational knowledge (in each case with reference to digital means). Moreover, we add instrumental skills in dealing with digital media and attitudes towards them. A literature review as well as interviews with five school management teams, five focus group discussions with pertinent teachers, and 14 interviews with experts from the education sector in German-speaking Switzerland were utilized to specify these facets on the basis of self-assessment questions. To assess the validity of the framework, 215 teachers at business related schools in German-speaking Switzerland were surveyed. Confirmatory factor analyses generally show good fit values, as do measurement invariance analyses with regard to age, gender and learning opportunities. All constructs can be reliably captured. Our validated framework closes a research gap, as it relates relevant facets of teaching professionalism to the requirements caused by digital transformation, considers the school development in addition to teaching, and integrates instrumental skills as well as attitudes with regard to digital media. The framework should be regarded as a normative model, since it is explicitly oriented not only to current practice, but rather to requirement that may become more important for teachers.
Using deep reinforcement learning for personalizing review sessions on e-learning platforms with spaced repetition

Spaced repetition is a learning technique in which content to be learned or memorized is reviewed multiple times with gaps in between for efficient memorization and practice of skills. Two of the m ...
A blind image watermarking algorithm based on amalgamation domain method

Combining with the spatial domain and the frequency domain, a novel blind digital image watermarking algorithm is proposed to resolve the protecting copyright problem in this paper. When embedding watermark, the generation principle and distribution features of direct current (DC) coefficient are utilised to directly modify the pixel values in the spatial domain, then four different sub-watermarks are embedded into different areas of the host image for four times, respectively. When extracting watermark, the sub-watermark is extracted with blind manner according to DC coefficients of watermarked image and the key-based quantisation step, and then the statistical rule and "first to select, second to combine" are proposed to form the final watermark. Hence, the proposed algorithm not only has the simple and quick performance of the spatial domain but also has the high robustness feature of DCT domain. Many experimental results have proved that the proposed watermarking algorithm has good invisibility of watermark and strong robustness for many added attacks, e.g., JPEG compression, cropping, adding noise, etc. Comparison results also have shown the benefits of the proposed algorithm.
Graph-Based Semantic Query Optimization for Intensional XML Data

The evolving of graph database’s techniques and tools has granted this type of connected databases more popularity in data storage and query answering techniques. These techniques include structural indexing, knowledge representation, and logic or ontology reasoning. In this paper, we propose a logical data model in graphical structure, which logically structure XML nodes and semantic relationships between them. In addition, we propose a semantically annotated XML database model, to reflect the logics and semantics inferred from the graph database. The reason is that we apply a third dimension to the tree pattern query (TPQ) matching process to traverse XML entities based on the logical data structure between database entities. The other two dimensions are the traditional predicates of TPQ matching of structure and values between the query and document. The semantic annotations, accordingly, represent these logical data structure in the XML database.
LibGuides: Triumph & Tragedy: Web Search Strategies

Library resources available for using in the World History research paper based on the prompt provided for National History Day 2019.
VIRTUAL, ADDED AND MIXED REALITY - INNOVATIVE PRACTICES IN THE EDUCATION PROCESS

The article examines the development of educational technologies within the concept of reality, which is rather in the countries of academic education despite its undeniable potential. When applying the European Credit Transfer and Accumulation System (ECTS), much of the student's time is provided for self-employment, which is why the role of motivation strategies and interactive learning methods is growing. Based on the Strategy for Effective Implementation of Information and Communication Technologies in Education and Science of the Republic of Bulgaria (2014-2020), the development aims at presenting, after a descriptive analysis of the advantages and disadvantages of virtual, added and mixed reality ideas, tools and learning opportunities in a virtual environment. The research attempts to present examples of application scenarios among certain target groups and the use of virtual reality based on specific requirements in the process of creating virtual reality learning resources and student actions in the educational context.
Project: Standardized Tests for Human-Computer Interaction

Project: Standardized Tests for Human-Computer Interaction to come. Status: upcoming Runtime: 2019 - Participants: Jurgen Hahn, Florian Bockes, Raphael Wimmer Keywords: evaluation methods TO DO.
The Art of Programming in the Mathematica Software [Электронный ресурс]

Aladjev, V. The Art of Programming in the Mathematica Software [Электронный ресурс] : monograph/ V. Aladjev, V. Boiko, M. Shishakov.- Fourth edition.- Morrisville : Lulu Press, 2017, 1экз.  Книга
Low Complexity Security Algorithm for CPS / IoT Networks

Due to its noisy nature, wireless channel plays a dominant role in deciding the performance of data communication between the smart objects in the cyberphysical systems (CPS) or the internet of things (IoT). Open and heterogeneous nature of these networks makes them susceptible to vulnerable attacks. So, to keep up the confidentiality and integrity of the transmitted data against the adversaries, it should be secured before transmission. However, issues such as power efficiency, low computational complexity need to be considered when designing security algorithms for CPS/IoT networks. Traditional encryption algorithms, such as Advanced Encryption Standard (AES), International Data Encryption Algorithm (IDEA) can be used for security purpose, but they do not satisfy power and complexity criteria as per CPS/IOT networks requirements. Moreover, they exhibit poor bit error ratio (BER) performance in a noisy wireless channel. This paper presents a modified security algorithm, AES-P, with X-OR mapping on AES to make them suitable for CPS/IoT applications. Simulation and analysis of the proposed algorithm showed that its power consumption and complexity are reduced as compared to traditional AES. It also performed better in the wireless channel, while maintaining the required security level satisfied by Avalanche effect.
دور تحليلات البحث في زيادة كفاءة المواقع الإلكترونية لمنظمات الأعمال

دور تحليلات البحث في زيادة كفاءة المواقع الإلكترونية لمنظمات الأعمال دراسة ميدانية في بيئة الأعمال السورية. سامر أحمد قاسم جودت ديوب هدف البحث إلى دراسة العلاقة بين استخدام المواقع الإلكترونية لتحليلات البحث (Google Analytics  كنموذج) وزيادة كفاءة هذه المواقع والتي تتعلق بالأبعاد الآتية: معدل الارتداد، تحويل الزوار إلى عملاء. ولتحقيق ذلك تم صياغة فرضية رئيسة يتفرع عنها فرضيتين فرعيتين، واستخدم الباحث أسلوب الاستبانة لجمع البيانات التي تم تحليلها باستخدام اختبارات إحصائية أهمها: اختبار الوسط الحسابي One- Sample T. test، واختبار الارتباط الثنائي Pearson Correlation. وقد توصل البحث إلى عدة نتائج أهمها: وجود علاقة موجبة قوية بين استخدام المواقع الإلكترونية لتحليلات البحث (Google Analytics كنموذج) وزيادة كفاءة هذه المواقع. The research aimed to examine the relationship between the use of Google Analytics as a model and the increase in efficiency of these websites, which relate to the following dimensions: bounce rate, conversion of visitors to customers. In order to achieve this, a basic hypothesis has been formulated, with two sub-hypotheses. The researcher used the questionnaire technique to collect the data, and analyzed it using statistical tests, the most important of which are the one-sample t. test and the Pearson Correlation. The researcher found many results, the most important of which was: There is a strong positive relationship between the use of websites for search analytics (Google Analytics as a model) and increasing the efficiency of these websites.
June 10th OR19 Workshop on Repository/CRIS Interoperability/Integration : [technical challenges - introduction]

The introduction to the morning session on technical challenges to achieve repository/CRIS interoperability and integration explores the background of the attempts to make repositories and CRISs smartly work together. From the early stages of system interoperability in the early 2010s to the present-day integrations based on open source solutions, the quickly evolving landscape has seen a significant evolution in the past few years.