Reviewerly/exHarmony huggingface dataset:
Development and Prospect of Satellite Navigation Technology

Nowadays, satellite navigation system plays a more and more important role in the transportation, surveying and mapping, telecommunications, water conservancy, finance, electric power, exploration, modern agriculture, national security, and other fields. With the increase of satellite navigation application in terms of both breadth and depth
Matter of Authorship in Works Created with Contribution of Nonhuman Sources

Humans have always been prone to finding new ways of creating works. As they discovered untraditional tools, or in other words contributors, the copyrightability of these works become questioned. This dissertation analyzes two kinds of contributors: computer programs and animals. Copyright law does not provide nonhuman authorship. Therefore, the question is whether or not the works generated with the contribution of computer programs and animals bear human expression so that they can be considered human works, thus be copyrightable. This dissertation proposes a test for finding human authorship and applies the test on real-life examples to provide guidelines to determine the copyrightability of the works.
Comparison between the Messaging Protocols: CoAP and MQTT Protocol

The Internet of Things is termed as the next generation of the internet in which the physical devices equipped with some electronic components by which they can transfer the data or information between each other. The IoT system uses various types of messaging protocols for the transmission of data. The CoAP and the MQTT are the two of these protocols which are widely used in the IoT system. This paper presents a comparison between these two CoAP and MQTT protocols which was based on some parameters. This comparison is shown by studying the various conclusions of the experiments and research by the researchers. This can help the various designers to select the most appropriate protocol for the messaging in an IoT system.
ON THE MODELLING OF LEPROSY PREVALENCE IN SOUTH SULAWESI USING SPATIAL AUTOREGRESSIVE MODEL

The prevalence of leprosy is the number of leprosy cases per 10.000 peoples. Based on data from the Ministry of Health, the highest prevalenece of leprosy was in South Sulawesi. This is needs a special attention because leprosy is a contagious disease. The number of leprosy cases in an area may be influenced by the number of leprosy case in the neighbor area due to the movement of the air. So that, the location of area need to be included in analysis of leprosy. The aim of this study is to identify the variables that spatially affect the prevalence of leprosy in South Sulawesi and modelling it. This study uses data from the Ministry of Health for year 2016. The method of analysis is Spatial Autoregressive Model (SAR). The results is There is a positive spatial autocorrelation in the prevalence of leprosy in district level, which means that regions with high prevalence of leprosy are surrounded by areas with high prevalence of leprosy, and vice versa. The prevalence of leprosy in an area is influenced by the prevalence of leprosy in neighbor districts, the percentage of BCG vaccines recipient and the percentage of households with healthy lifestyle.
LibGuides: Interlibrary Loan Request: Home

The purpose of this form is to request books or magazine articles not owned by any of the TMCC libraries What Is ILL And How does The Process Work?
COMPARATIVE ANALYSIS ON MACHINE LEARNING CLASSIFICATION APPROACHES FOR EFFICIENTBUILDING SOFTWARE REQUIREMENTS

Software Requirements are the premise of top notch software advancement process, each progression isidentified with SR, and these speak to the necessities and desires for the software in an itemized structure. The softwarerequirement classification (SRC) task requires a great deal of human exertion, extraordinarily when there are enormous ofrequirements, in this way, the mechanization of SRC have been tended to utilizing Natural Language Processing (NLP) andInformation Retrieval (IR) systems, notwithstanding, for the most part requires human exertion to break down and makehighlights from corpus (set of requirements). In this work, the model that we propose depends on to create code assessmentcapable framework utilizing AI calculation in software building.1. To give strong code audit capable framework utilizingSVM, KNN and Decision Tree classification. 2. To assess the presentation of the proposed method utilizing precision,accuracy, sensitivity and specificity parameters.
Compression-friendly Image Encryption Algorithm Based on Order Relation

In this paper, we introduce an image encryption algorithm that can be used in combination with compression algorithms. Existing encryption algorithms focus on either encryption strength or speed without compression, whereas the proposed algorithm improves compression efficiency while ensuring security. Our encryption algorithm decomposes images into pixel values and pixel intensity subsets, and computes the order of permutations. An encrypted image becomes unpredictable after permutation. Order permutation reduces the discontinuity between signals in an image, increasing compression efficiency. The experimental results show that the security strength of the proposed algorithm is similar to that of existing algorithms. Additionally, we tested the algorithm on the JPEG and the JPEG2000 with variable compression ratios. Compared to existing methods applied without encryption, the proposed algorithm significantly increases PSNR and SSIM values.
An evaluation method of synthetic force engineering support capability based on multi-level grey system

Abstract Engineering support operations are characterized by diverse tasks, dispersed regions, complex command coordination, many points, long lines and wide areas. It has been difficult to model and evaluate its capability comprehensively. In this paper, according to the characteristics, the index system of support capability of synthetic Force project is constructed, and the support capability of synthetic Force project is analysed and evaluated by combining multi-level grey relational analysis theory and AHP. An evaluation method is put forward and verified by an example. Compared with the past models and methods, they are simple to operate, applicable and scientific in conclusion. It is convenient to analyze and compare the support capacity of multiple units. It can provide support and basis for the development of engineering support capacity construction and scientific assessment of synthetic Force.
Positivity Calculation using Vader Sentiment Analyzer

Nowadays the data in online platforms is huge to make a reasonableanalysis for as long as a final view as either positive or negative. Even tobuy a product, suggestions and guidance from the neighbors is neededin traditional days. Certain important events in daily life take place whichare posted in online mediums. Everyone these days shows an inclinationto know about a particular issue or event. In this regard, deploying thedata from various users in the cloud enables us to store and performvarious methods and applications on the data in the cloud. To get aview as either positive or negative and how positive the content reflectsabout the happenings in the world. In this paper the application of aVader tool on the data stored in the cloud to analyses and score thepolarities is provided. It gives the positivity of the content stores undera particular keyword. By measuring the polarity scores of each word,it provides the aggregated scores of overall texts under the particularkeyword. This submission assigns scores to the emojis expressed in thecontent stored in cloud and provides a final view as either positive ornegative and enhances the positivity score.
PENGARUH FAKTOR INTERNAL DAN EKSTERNAL TERHADAP PRESTASI BELAJAR SISWA DI SDN 29 LIMBUA KECAMATAN MINASATENE KABUPATEN PANGKEP

This study aims to: 1) Determine the influence of internal factors on student achievement of SDN 29 Limbua, Minasatene District, Pangkep Regency. 2) Determine the influence of external factors on student achievement at SDN 29 Limbua, Minasatene Subdistrict, Pangkep District. 3) Determine the influence of internal and external factors simultaneously on student achievement at SDN 29 Limbua, Minasatene District, Pangkep Regency. This study was carried out on a study population of 97 people, with a sample of 78 people. This type of research is quantitative, data collection techniques used are questionnaires and data documentation. The analysis techniques used are: 1) Descriptive statistics through percentage, inferential statistics through Multiple Linear Regression. The results showed that: Based on the Hypothesis Test Partially (Test t) With reference to the Coefficientsa table, it could be described the influence of the Internal Factor (X1), External variables (X2), on the Student Learning Achievement variable (Y), as follows: 1 ) Constant = 58,846, Positive constant value indicates positive influence of independent variables (Internal and External Factors), If the independent variable increases or influences in one unit, the dependent variable (Student Learning Achievement) will increase or be fulfilled by 58,846. 2) Internal Factor (X1) = 0,150 is the regression coefficient value of Internal Factor (X1) on student learning achievement variable (Y). This means that if the Internal Factor (X1) has a one-unit increase, then student learning achievement (Y) will experience an increase of 0,150 or 15,0%. Coefficient is positive, meaning that between Internal Factor (X1) and student learning achievement (Y) has a positive relationship, namely an increase in Internal Factors (X1) will result in an increase in student learning achievement (Y). 3) External Factors (X2) = 0.053 is a regression coefficient variable of External Factors (X2) on the variable student achievement (Y) means that if the External Factor (X2) decreases one unit, then student learning achievement (Y) will decrease by 0.053 or 05.3% coefficient is negative meaning that between External Factors (X2) and student achievement (Y) there is a negative relationship. Decreasing External Factors (X2) will result in a decrease in student learning achievement (Y). 4) Based on the hypothesis test simultaneously research (test f) is known anova table output, simultaneous testing X1, X2, towards Y, it is known that the calculated F value = 4.823> sig value 0.011, which means that H1 is accepted and H1 is rejected, which means that All independent variables (Internal and External Factors) simultaneously have a significant effect on the dependent variable (student learning achievement). Keyword s: Internal, External Factors, Student Learning Achievement
VIRTUAL TOURISM — EDUCATIONAL OPPORTUNITIES

Relevance. One of the priority directions of modernization of Russian education is the Informatization ofthe educational process. Informatization of education is considered as a process of providing the educationsector with the theory and practice of developing and using modern technologies aimed at implementing thepsychological and pedagogical goals of education and upbringing.The purpose of the article is to pose the problem of using virtual tourism for educational purposes.Methodology and research methods. The methodological basis of the research is the search for information,critical analysis of various sources of information, and analysis of the state of the problem.The results are presented by describing and arguing the existing problem of educational opportunities forvirtual tourismThe scientific novelty is due to the context of the problem of improving the quality of education using virtualtourism.The practical significance of the presented research results is the possibility of using virtual tourism inhigher education institutions to improve the education systems of students.
Organizational and pedagogical conditions for ensuring inclusion of persons with special educational needs in the educational process of higher education institutions

Науковий часопис НПУ імені М. П. Драгоманова [in Ukrainian].12. Sysoyeva, S.O.(1996).Pidhotovka vchytelya do formuvannya tvorchoyi osobystosti uchnya [Preparing a teacher for the formation of a student's creative personality], K. : Polihraf knyha [
REMOTE HEALTH MONITORING: FALL DETECTION

Urgency of the research. Falling is a serious health issue among the elderly population; it can result in critical injuries like hip fractures. Immobilization caused by injury or unconsciousness means that the victim cannot summon help themselves. Target setting. The target of this paper is to design and create a fall detection system. The system consists of a monitoring device that links wirelessly with a laptop. The device is able to accurately distinguish between fall and non-fall. Actual scientific researches and issues analysis. Healthcare systems in the world have undergone tremendous evolution in the last 50 years. In the early 1960s, we had computers in the form of mainframes being incorporated into healthcare systems. However, there were some problems met from their usage. These mainframes were very few, expensive, large in size and consumed a lot of electrical power and as a result, they had to be shared by several hospitals since independent ownership wasn’t feasible an idea to be considered at all. Uninvestigated parts of general matters defining. Despite all of the changes, there was still the issue of affordability of the treatments offered by the hospitals from the patients’ point of view. This had a negative impact on both the hospitals &amp; patients. Hospitals were not getting that large enough a number of patients for treatment while patients were opting for alternatively cheaper treatment plans. The research objective. The scope of this paper is limited to fall detection and remote viewing of the collected data. Fall detection algorithm is developed and implemented through programming on Arduino Uno board. Remote viewing of the data is done on a laptop after having fall detection data wirelessly transmitted to it. The statement of basic materials. To detect fall along an axis, the acceleration magnitude is considered. With the accelerometer output data, the angle change can also be calculated using the dot product. In the event of falling, one experiences a momentary free-fall then a large spike in acceleration. For wireless data transmission, we choose the HC‐05 module which is an easy to use Blue-tooth SPP (Serial Port Protocol) module, designed for transparent wireless serial connection setup. For appropriate fall detection, we choose an accelerometer. The Bluetooth module receives fall detection data from the micro-controller and transmits the same to a laptop computer where we realize remote viewing of the data. Conclusions. The objective of this paper was to design a fall detection system that links wirelessly with a laptop computer (where we have remote viewing of the collected data). By the conclusion of this paper, we had achieved the primary goal of creating a working system able to recognize falls from non-falls, while wirelessly synched with a laptop.
Memory Model of Magnetization of Magnetic Fluid

In this paper, we propose the Memory Model of Magnetization of Magnetic Fluid. The idea originates from the mathematical formulation of solids with memory (hereditary materials)
Hybrid ANFIS-ant colony based optimisation for quadrotor trajectory tracking control

This study proposes a robust, accurate and intelligent control for trajectory tracking of a three degree of freedom quadrotor unmanned aerial vehicle (UAV). The controller is based on adaptive-network-based fuzzy inference system (ANFIS) and ant colony optimisation (ACO) algorithm. Intelligent control such as fuzzy logic is a suitable choice for controlling nonlinear systems. The ANFIS controller is used to reproduce the reference trajectory of the quadrotor in 2-D vertical plane. The ACO algorithm provides an automatic adjustment of ANFIS parameters in order to reduce learning errors and improve the quality of the controller. To evaluate the performance of the proposed ANFIS controller tuned by ACO, it is compared with ANFIS and proportional-integral-derivative (PID) controllers. As expected, the hybrid ANFIS-ACO controller gives more satisfactory results than the other methods already developed in the same study.
Improving Education Delivery in a Technical University in Ghana Through Mobile Learning Technology

Although in Accra Technical University (ATU), Ghana there exists a traditional face-to-face (F2F) mode of education already in place, the implementation of mobile learning (m-learning) through ICT in education will solve problems such as small classroom size, inappropriate time schedule for lectures, and provision technological resources needed to run successful classroom education. In order to validate successful implementation of m-learning in ATU, this paper employed a questionnaire research instrument with reference to the technology acceptance model (TAM-2) as a theoretical framework. Closed-ended questionnaires were administered to a sample size of 160 students and 15 lecturers in the Faculty of Applied Sciences (FAS) in ATU. Based on the responses received, the authors established positive technological acceptance of respondents, which paved the way to propose and develop a suitable m-learning system for ATU. It is envisaged that successful implementation of the m-learning system proposed in this paper will practically increase the use of ICT in education by both lecturers and students in ATU.
Smart And Development Of Modern Education

The 21st century is the century when information technologies become an integral part of a person’s living space. Today, with confidence we can state the existence of a new digital (network) generation of people for whom a mobile phone, a computer and the Internet are the same natural elements of their living space as nature and society. For the development of modern education, the influence of human capital is no longer enough. It is necessary to change the educational environment itself, not just to increase the volume of education of labor resources, the very content of education, its methods, tools and environments must qualitatively change, a universal transition to SMART education is necessary.
EDUCATION, REGIONAL INTEGRATION AND THE MOBILITY OF LABOUR

The economic performance of most African countries is presently rated poor. Consequently, this scenario becomes worrisome, hence requires an urgent need towards providing the best strategy for reversing the current status of developing African countries. The position of this paper is that regional integration which is the process by which two or more nation-states agree to cooperate and work closely to achieve peace, stability and wealth should provide the best strategy. This claim is further supported by elucidating the benefits of regional integration which include lowering, and possibly eliminating barriers to trade, achieving cross-border cooperation and increasing the well-being of citizens of member states. The paper further argues that labour mobility is a constant possibility from countries within and between poor/rich capital and rich/poor labour force. The Neoclassical economic and Human Capital Theories are employed to critically discuss the role of education as an essential instrument adopted by the society (as a rational actor) for equipping the citizens (human capital) for future societal benefits. Based on these premises and upholding education as an instrument per excellent for the development of society, this position paper upholds that African nations, especially West Africa, should extend their regional integration efforts beyond economic boundaries to include integration of educational institutions, especially higher education. This effort will, no doubt, encourage the flow of ideas, knowledge and the development of more qualified and well equipped human capital who could drive the economy of the developing West African nations.
A High-Speed FPGA Implementation of an RSD-Based ECC Processor

In this paper, an exportable application-specific instruction-set elliptic curve cryptography processor based on redundant signed digit representation is proposed. The processor employs extensive pipelining techniques for Karatsuba–Ofman method to achieve high throughput multiplication. Furthermore, an efficient modular adder without comparison and a high throughput modular divider, which results in a short datapath for maximized frequency, are implemented. The processor supports the recommended NIST curve P256 and is based on an extended NIST reduction scheme. The proposed processor performs singlepoint multiplication employing points in affine coordinates in 2.26 ms and runs at a maximum requency of 160 MHz in Xilinx Virtex 5 (XC5VLX110T) field-programmable gate array.
Alaphangjellemzők vizsgálata enyhe és középsúlyos értelmi fogyatékkal élő felnőttek beszédében

Fundamental frequency characteristics of mild and moderate intellectual disabled adults’ speechThe purpose of this study was to analyse the fundamental frequency characteristics of mild and moderate intellectual disabled adults’ speech. Altogether 10 women (5 participants in the intellectual disabled group and 5 control adults, aged between 20 and 62 years) participated in the research. The speech samples consisted of spontaneous and read speech. The mean fundamental frequency and f 0 maximum/f 0 minimum ratio were analysed in the declarative utterances. The results were compared between the group of the intellectual disabled adults and the age- and gender-matched control group of typical speakers. The findings of this experiment were the following: 1. The mean fundamental frequency was higher in read speech than in spontaneous speech in both the intellectual disabled adults’ and the control adults’ speech. 2. The mean fundamental frequency was higher in the intellectual disabled adults’ than in the control adults’ speech, in accordance with earlier studies of the international literature.
Visualization of Educational Information by Means of Graphics

The article examines the modern direction of information visualization in the context of educational activities. Graphics is a visualization language and it "speaks" with graphemes. Infographics call their works infographics. In our understanding, grapheme is a consequence of information processing by the infocartographic method that we have developed. The method integrates techniques of cartography and infographics. Educational information is a didactically processed scientific information representing concepts, patterns, laws, structure, functioning of systems within the framework of the discipline being studied. Or, we can say that this is information about the subject itself and the methods of studying it.&#x0D; The versatility of the infocartographic method lies in its "end-to-end" capabilities to show, visualize any information, "translate" it from verbal language into the language of gratification.
Development of GenNav: A Generic Indoor Navigation System for any Mobile Robot.

The navigation system is at the heart of any mobile robot it comprises of SLAM and path planning units, which is utilized by the robot to generate a map of the environment, localize itself within it and determine an optimal a path to the destination. This paper describes the conceptualization, development, simulation and hardware implementation of GenNav a generic indoor navigation system for any mobile aerial or ground robot. The generalization is brought about by modularizing and creating independence between the software computation and hardware actuation units by providing an alternate source of odometry from the LiDAR eliminating the requirement for dedicated odometry sensors. The odometry feedback from the LiDAR can be used by the navigation computation unit and the system can be generalized to a wide variety of robots, with different type and orientation of actuators