Reviewerly/exHarmony huggingface dataset:
The taxi function

This paper investigated the lane keeping control and the lateral control of autonomous ground vehicles , robots or the like considering the RAFU functions . A strategy based knowing the real position of several points of the trajectory is proposed to achieve the lateral control purpose and maintain the lane keeping errors within the prescribed performance boundaries . The RAFU function are applied to achieve these goals . The stability of these functions , their applicability to approach any arbitrary trajectory and the easy control of the possible error made on the approximation are useful advantages in practice .
Guidance Trajectory Mathematical Modeling.

A trajectory of a destination-directed moving object (e.g. an aircraft from an origin airport to a destination airport) has three main components: an origin, a destination, and motion in between. We call such a trajectory that end up at the destination \textit{destination-directed trajectory (DDT)}. A class of conditionally Markov (CM) sequences (called CM$_\text{L}$) has the following main components: a joint density of two endpoints and a Markov-like evolution law. A CM$_\text{L}$ dynamic model can describe the evolution of a DDT but not of a guided object chasing a moving guide. The trajectory of a guided object is called a \textit{guided trajectory (GT)}. Inspired by a CM$_\text{L}$ model, this paper proposes a model for a GT with a moving guide. The proposed model reduces to a CM$_\text{L}$ model if the guide is not moving. We also study filtering and trajectory prediction based on the proposed model. Simulation results are presented.
Developing English Teaching Materials for Journalistic Students at UIN Alauddin Makassar Based on Needs Analysis

English teaching material is one of the fundamental elements influencing the teaching and learning process. In English learning atmosphere, the use of the appropriate English teaching material is a necessity to enhance the students’ English ability. This research aimed at finding out learning needs of the journalistic students at UIN Alauddin Makassar, Indonesia in learning English. This research employed research and development method (R and D) in two main steps; conducting a research to find out the students’ needs and then designing and developing a course based on needs analysis. The population of the research were a total number of the students of first semester of new academic year 2018/2019, lecturers and graduates of department of Journalism, Faculty of Dakwah and Communication, UIN Alauddin Makassar. The instruments employed were Questionnaires and interviews of Needs Analysis for the Students, lectures and graduates, and archives document. The data were analyzed by using score level: (1) the frequency score, (2) the importance score, (3) the difficulty score, and (4) the suitability score, and given a set of score from one to five. From the findings, it could be revealed that that the learning needs of journalistic students which cover four areas: success in study, success for getting job, mastery of English skills and mastery of certain newscast topics. Journalistic students at UIN Alauddin Makassar need to learn English in order  they can finish their study and find job easily after graduation, master English skills to support the success of their study and future carrier. They also need to learn  newscast  topics as preparation when working and having profession as journalists in the real world of journalism in the future.Keywords- Developing, English teaching materials, needs analysis
The Role Reading Fluency Plays in Reading Abilities of Advanced Korean EFL Readers

The current study aimed to explore the effects of reading fluency on reading comprehension abilities. In doing so, different levels of reading fluency (i.e., word and text level) and different measures of reading fluency (i.e., oral and silent reading fluency) were considered. A total of 31 advanced Korean EFL readers in high schools were opted for, and the data were analyzed with hierarchical and multiple regression analyses. The results showed that oral reading fluency, which includes word and text level reading fluency, did not take up unique variance when silent reading fluency and vocabulary knowledge were taken into consideration. However, these results were mainly attributed to word reading fluency, revealing that text level reading fluency was a significant contributor to reading abilities. To be specific, while both oral and silent text level reading fluency took up additional predictive power when controlling for each other, the predictability of the latter was larger than that of the former. These results imply that for advanced readers, rapid reading of a passage silently as well as orally will positively affect their reading comprehension abilities, while silent text reading fluency has a more crucial role in boosting their reading abilities.
MYOB Accounting Information System Analysis at PT. Lembang Abadi Indah

The background of this research is the need for quality financial reports. This research aims to determine how the implementation of accounting information system in PT. Lembang Abadi Indah based MYOB. With the use of MYOB software application for accounting information System the company can improve the quality of accounting information in generating relevant financial statements.  The methods used in research are qualitative approaches. Design research is a qualitative dexriptif. The source of data obtained from this research is from primary data on primary data collection conducted through observation and interviews with the authorities. In this research, the secondary data sources used by researchers are sources related to the research object can be an accounting information system based on MYOB Accounting V13 that has been implemented in PT. Lembang Abadi Indah. The implementation of an accounting information system based on MYOB at PT. Lembang Abadi Indah is already running well, MYOB provides the relevance of information in supporting business process, including it is presented in a timely, accurate, consistent, usable and complete. With the application of MYOB accounting information obtained by the company become more accurate because the calculation automatically by the computer and financial statements can be generated quickly and complete because the transactions entered will be processed automatically into the financial statements.
On Educational Assessment Theory: A High-Level Discussion of Adolphe Quetelet, Platonism, and Ergodicity

Educational assessments, specifically standardized and normalized exams, owe most of their foundations to psychological test theory in psychometrics. While the theoretical assumptions of these practices are widespread and relatively uncontroversial in the testing community, there are at least two that are philosophically and mathematically suspect and have troubling implications in education. Assumption 1 is that repeated assessment measures that are calculated into an arithmetic mean are thought to represent some real stable, quantitative psychological trait or ability plus some error. Assumption 2 is that aggregated, group-level educational data collected from assessments can then be interpreted to make inferences about a given individual person over time without explicit justification. It is argued that the former assumption cannot be taken for granted; it is also argued that, while it is typically attributed to 20th century thought, the assumption in a rigorous form can be traced back at least to the 1830s via an unattractive Platonistic statistical thesis offered by one of the founders of the social sciences—Belgian mathematician Adolphe Quetelet (1796–1874). While contemporary research has moved away from using his work directly, it is demonstrated that cognitive psychology is still facing the preservation of assumption 1, which is becoming increasingly challenged by current paradigms that pitch human cognition as a dynamical, complex system. However, how to deal with assumption 1 and whether it is broadly justified is left as an open question. It is then argued that assumption 2 is only justified by assessments having ergodic properties, which is a criterion rarely met in education; specifically, some forms of normalized standardized exams are intrinsically non-ergodic and should be thought of as invalid assessments for saying much about individual students and their capability. The article closes with a call for the introduction of dynamical mathematics into educational assessment at a conceptual level (e.g., through Bayesian networks), the critical analysis of several key psychological testing assumptions, and the introduction of dynamical language into philosophical discourse. Each of these prima facie distinct areas ought to inform each other more closely in educational studies.
Hybrid Firefly based Software Defect Prediction on Imbalanced Data

Increasing complexity of software systems has led to the increased necessity for analyzing and testing these software for their efficient functioning. This work proposes a meta-heuristic based software defect prediction model for faster and better performance. The proposed model is composed of two major stages; the feature selection stage and the defect prediction stage. The feature selection stage uses Cuckoo Search, a metaheuristic classifier model as the search method to identify the features that are mandatory. The defect prediction stage uses the Hybridized Firefly model to identify defects in the software. Experiments with state-of-the-art models from literature indicates enhanced performances, exhibiting the efficiency of the proposed model.
Sycon: A New Milestone in Designing ASCON-like Permutations.

ASCON is one of the elegant designs of authenticated encryption with associated data (AEAD) that was selected as the first choice for lightweight applications in the CAESAR competition, which also has been submitted to NIST lightweight cryptography standardization. ASCON has been in the literature for a while; however, there has been no successful AEAD which is secure and at the same time lighter than ASCON. In this article, we have overcome the challenge of constructing a permutation that is lighter than the ASCON permutation while ensuring a similar performance, and based on which we achieve a more lightweight AEAD which we call Sycon. Extensive security analysis of Sycon confirms that it provides the same level of security as that of ASCON. Our hardware implementation result shows that the Sycon permutation has 5.35% reduced area, compared to the ASCON permutation. This leads to a remarkable area reduction for Sycon AEAD which is about 14.95% as compared to ASCON AEAD. We regard Sycon as a new milestone as it is the lightest among all the AEADs belonging to the ASCON family.
Implementasi Website pada Lanang Kreatif Menggunakan Metode WDLC

About 196.7 million internet users have increased from 171.2 million according to a survey conducted by APJII, due to the COVID-19 pandemic effect which’s came from the public to keep their distance from the crowd, switching from being one with the crowd to becoming a personal individual and inevitably want to have to use the rapidly growing technology that’s happening all whole world, the website population that is pushed because the virus spreads causes an increase in website usage to increase significantly which is a new way or method for business owners or MSMEs to switch to using information technology and information systems. The methodology used is a literature review, interviews, observation, system development, and also the web development life cycle, namely by analyzing data after the data is collected, preparing the website for development, and not forgetting to also maintain the website that has been made in such away. Of course, the increase in income at Warung Mbah Lanang Banyuwangi (Lanang Kreatif) will not be wasted by Mr. Joko Seno by facilitating the marketing strategy using Word Of Mouth (WOM), only needing to provide a link to the Warung Mbah Lanang Banyuwangi website.
An atlas based level set method for 3D brain structures segmentation

Brain structures segmentation in Magnetic Resonance Imaging (MRI) is a challenging task because of the large anatomical variability in both shape and size between individuals. In this work, an atlas based level set method is proposed for brain tissues segmentation. First, a skull stripping method is utilized to remove the skull region of brain. A registration algorithm is then applied to obtain the initial six brain structure labels (thalamus, hippocampus, amygdala, putamen, pallidum, caudate) with a manually labeled atlas, which can be used as the initial level set contours. The final label is achieved by minimizing the energy function which consists of three terms: an image data term, a length regularization term and an intensity constrained term. Experimental results demonstrate that our method can obtain satisfactory results compared with other state-of-art methods.
An Improved NSGA-II algorithm for multi-objective nonlinear optimization

Non-dominated sorting genetic algorithm (NSGA-II) has been widely used in the field of multi-objective optimization after introducing sorting algorithm, crowding degree operator and elite strategy, but there are also problems such as uneven distribution of individual and Pareto efficiency. The algorithm is improved for these defects. Firstly, a cumulative non-dominated ranking assignment strategy is proposed to improve the crossover operator. The DE algorithm with adaptive parameters is used to improve the initial population and the population diversity; Then introduce the idea of nonlinear algorithm to improve the local search ability and further improve the quality of Pareto optimal solution. Finally, six benchmark multi-objective functions are used for testing. The experimental results show that the improved NDE-NSGA-II algorithm has better distribution, stability and higher search solution.
Monetization of Private Data Using Blockchain Ensuring Control and Ownership of the User Data

In the digital era, data is one of the most valuable assets and is worth more than any other commodity that exists, Data is an essential resource that powers the information economy, and the data with such value is being siphoned from the users without their knowledge and is being sold in data markets. We are providing a way to give power and control to users by which they can sell and have control over their data. We are developing A web extension that collects users DNS propagation data for each site they visit and streams it to the data unions in real-time in exchange for cryptocurrencies like data coins, Ether, bitcoin, etc., without compromising the user’s real identity leveraging the block chain, Ethereum framework, and Streamr data marketplace. The DNS propagation data is different for each ISP as they hold different SRV records, A data map of interlinked DNS propagation data could be used by data analytics companies for a lot of reasons.
Server to Client Communication for Web Usage Using Knowledge Mining

The Web has as of late become a vigorous speak to recovery of information and finding information from web apps. The web mining is one among the applications data of information mining systems to portray the information out from blog data. Web mining is for the most part plot as Preprocessing, disclosure and examination of supportive data from the net. Web Usage Mining comprises on the grounds that the technique for Preprocessing, Pattern Discovery and example Analysis. The memory and time utilization is looked at by recommends that of the example revelation algorithmic projects like Apriori and Frequent Pattern Growth calculation. The point of this paper is to know the web. The net utilization mining technique like preprocessing of web use data and also the finding of regular Patterns and their examination. What's more, also the examination of every calculation on a comparable dataset is finished, on account of extra utilization of net, the log documents square measure expanding at higher rate in step with size. The Preprocessing assumes a vital job in practical mining technique because of data in Log documents is commonly strident and not particular.
High-precision integrated parameter calibration method for seam tracker

This paper presents an integrated calibration method for seam tracker based on planar calibration plate, which can obtain all parameters of the tracker in one calibration. Firstly, a calibration plate is placed in the field of view of the camera to obtain multiple images in different positions. Secondly, the centers of the circle points and the sub-pixel centers of the line structured light on the calibration plate are automatically detected. Then the positions of the calibration plate are calculated according to the internal parameters of the camera, and the three-dimensional coordinates of the center line of the line structured light are calculated. Finally, all the three-dimensional coordinates of the line structured light centers are fitted to obtain the plane equation of the light plane, and the parameter calibration is completed. The experimental results show that the calibration method is fast and effective, which can realize the internal and external parameters calibration of the camera in the seam tracker in one operation. It has high calibration accuracy and meets the actual needs of seam tracking.
Cognitive base for the information interchange in the processes of cultural communication

Cognitive processes underlying the interchange of cultural information are twofold: on the one hand, the anthropospheric level of cultural knowledge organization allows the recipient to receive it in a processed and ready-to-use form. On the other hand, obtaining from the culture ready-made solutions to the problems faced leads to a decrease in the individual’s ability to produce his or her own creative ideas. The processes of cultural information processing are divided into assimilative (aimed at the inclusion of input into the recipient’s mental system) and accommodative (aimed at adapting his or her own worldview to information coming from outside) ones. The information received in the process of cultural communication is internalized by the recipient to the extent he or she is sensitive to it. In this case, sensitivity is understood as the ability to harmoniously embed the input data into the existing system of cognitive schemes. At the same time, the act of informational translation becomes a stimulus, while the internalization of data is a reaction to it. A fundamental principle of cultural information assimilation is cognitive economy — the desire to obtain the most effective solution to the problem with the minimum expenditure of mental resources. Often, the result is development of cognitive laziness, inability and unwillingness to use the resources freed up for creative work which could then be used by the person as a donor of cultural information. With the increase in the amount of assimilated information, the level of its recipient’s adaptability to the system of culture increases both in the local and global sense applicable to humanity as a whole as the largest of the cultural groups. At the same time, increasing the degree of cultural adaptation leads to a decrease in the person’s creative potential since creativity takes a person beyond the general group vector of cultural development.
A New Data Deletion Scheme for a Blockchain-based De-duplication System in the Cloud

Almost all Cloud Service Providers (CSP) takes a principled approach to the storage and deletion of Customer Data. Most of them have engineered their cloud platform to achieve a high degree of speed, availability, durability, and consistency. Their systems are designed to be optimized for these performance attributes and must be carefully balanced with the necessity to achieve accurate and timely data deletion. many researchers have turn their focus toward data storage and how it will be a challenging task for CSPs in term of storage capacity, data management and security, a considerable number of papers has been published containing new models and technique that will allow data De-duplication in a shared environment but few of them have discussed data deletion. In this paper we will be discussing a new approach that will allow a smart deletion of data stored in the file system as well as its reference in the Blockchain since, by its nature, Blockchains does not allow deletion without violating the Blockchain’s consistency, a preexisting de-duplication system will be our base platform on which we will be working to achieve an accurate and secure data deletion using Blockchain technology while preserving its consistency .
Intellectuality and youth intellectual power

This article reveals the scientific significance of intellect, intellect and the intellectual potential of young people. It has been analyzed that the intellectual potential of young people is the basis of the development of society. The need for intelligence and the intellectual potential of young people in society is scientifically based. The member that can replace the thought function is the mind. Philosophical research examines the functional four-dimensional feature or thinking style  model, as well as the logical, statistical, emotional, and experimental features of the mind, despite the morphologically two-component symmetrical structure of the mind. Thus, intellect is, first, the general ability to know and to be the basis of others, ensuring the effectiveness of any activity. Second, it is a system of cognitive abilities of the individual, consisting of intuition, perception, memory, imagination, thinking, imagination.
ULibraries Research Guides: Get Personalized Reading Recommendations (Books AND Scholarly Journals): What Books to Read Next

From an experienced librarian who reads everything from policies & journal articles to speculative fiction.
Method and tool for generating table of relevance in literature review (MTTR)

Every day, researchers in computing and IT are challenged with several articles that they need to rate, classify and separate quickly and effectively to contextualize and further advance their research effectively. It is considered that literature review is the most important step of discovery. Notably, a literature review is a part that allows the researcher to adjust the perspectives and limitations of an area of study. However, there is a lack of effective methods and tools for this activity. Often, traditional knowledge management techniques result in the “Gordian Knot” slowing down the process of literature review considerably.In this article, we present a Method and Tool for Generating Table of Relevance in Literature Review (MTTR). The MTTR is an innovative organizing method supported by software tools that make the literature review activity more efficient, faster and cheaper. An interesting feature of MTTR is data visualization using the Heat Map technique, Word Cloud and statistical techniques in designating and comparing each scientific article with the other relevant articles. The productivity gains in MTTR occur due to the automation in structuring and sorting scientific articles. In addition to efficiency, the lowest cost has the potential to place the MTTR as a preferred tool for the researcher. The anecdotal evidence reported in this article suggests that it is possible to carry out a literature review in a much shorter time with MTTR than in the traditional manner.