Reviewerly/exHarmony huggingface dataset:
Path analysis of tennis ball automatic transmitter based on artificial intelligence technology

In order to improve the analysis effect of tennis automatic transmitter path, this study designed a tennis automatic transmitter path analysis method based on artificial intelligence technology. Firstly, the structure of tennis automatic transmitter is designed, including five parts: ball receiving structure, ball sending structure, ball storage structure, launching structure and moving structure. Then, a grid model of the path distribution after the tennis ball is launched is constructed, and the constraint parameters of the path planning of the launcher are optimized. Finally, the force and running track of the tennis ball before and after launching are analyzed to realize the automatic launching path analysis of the tennis ball. The experimental results show that the convergence value of this method is 1.39%, and it only takes 3.5 minutes to generate the path analysis results. Therefore, this method has good application effect in terms of convergence and timeliness, and can be effectively applied to the path analysis of tennis automatic transmitter.
Karina van Dalen-Oskam, Het raadsel literatuur. Is literaire kwaliteit meetbaar? Amsterdam, Amsterdam University Press, 2021, 350 pp. ISBN 978 94 6372 497 5. Euro 29,99.

Amsterdam University Press is a leading publisher of academic books, journals and textbooks in the Humanities and Social Sciences. Our aim is to make current research available to scholars, students, innovators, and the general public. AUP stands for scholarly excellence, global presence, and engagement with the international academic community.
CURRENT ISSUES OF THE USE OF INFORMATION TECHNOLOGIES IN TEACHING PHYSICAL AND MATHEMATICAL DISCIPLINES

В современном обществе меняются способы получения образования с акцентом на усиление роли интернет-сетей как источника информации. Помимо этого, набирают силу диалоговые методы обучения. В течение последних двух лет вопросы дистанционного обучения стали особенно актуальными. Извлечь информацию из Сети еще не значит приобрести полноценные знания, поэтому приходят на помощь сетевые образовательные сервисы. Авторы предлагают использовать для дистантного изучения физико-математических дисциплин модульную объективно ориентированную динамическую обучающую среду OpenSystem, имеющую ряд возможностей для структурирования материала и управления учебной деятельностью студентов. Существующая потребность дистанционного изучения студентами ряда дисциплин требует разработки соответствующих методических материалов. Примером в нашем случае служит дистантная реализация авторского курса «Физика атомного ядра» для студентов бакалавриата физико-математического факультета педагогического университета. In modern society, the ways of obtaining education are changing, with an emphasis on strengthening the role of Internet networks as a source of information. Current methods of storing and transmitting information are actively used by teachers and students – educational publications can easily be found in electronic library systems and on the web, and universal Internet access via phone and computer makes it possible to quickly get the necessary information. However, to extract information from the network does not mean to acquire full-fledged knowledge. There is a need for structuring the subject environment and managing students’ access to information on the discipline being studied – this can be implemented, for example, in the modular objective-oriented dynamic learning environment “OpenSystem”. Management of distance learning is also expanding thanks to “cloud technologies” of information storage, and personalization and monitoring of academic performance is implemented using personal virtual offices of students and teachers. In this paper, we will focus on the use of the “OpenSystem” learning environment in the distant study of the discipline “Physics of the Atomic Nucleus” by undergraduate students of the Faculty of Physics and Mathematics of the Pedagogical University. In the last two years, the issues of distance learning are becoming particularly relevant. The “OpenSystem” environment has an undoubted advantage when studying the subject before giving lectures online and other ways of transmitting the material.
Mining Weighted Erasable Itemsets Over the Incremental Database Based on the InvP-List

Abstract-An erasable itemset is the low profit itemset in the product database.The previous algorithms for mining erasable itemsets ignore the weight of each component of the product and mine erasable itemsets by concerning the product profit only in static product databases.But, when we consider the weight of each component, previous algorithms for mining weighted erasable itemsets would violate the anti-monotone property.That is, the subset X of an erasable pattern Y may not be an erasable pattern.The IWEI algorithm uses the static overestimated factor of itemsets profits to satisfy the "antimonotone property" of weighted erasable itemset and constructs the IWEI-Tree and OP-List data structure for the dynamic database.However, the IWEI-Tree has to be reconstructed, when reading the whole product database is finished.It will take long time to complete the mining of the whole tree, if the database is frequently updated.The IWEI algorithm generates the too low static value of the overestimated factor to prune candidates.To solve those problems, in this paper, we propose the Inverted-Product-List algorithm (InvP-List) and with the local estimated factor to identify weighted erasable itemsets candidates from the Candidate-List which is generated from InvP-List.We propose the appropriate estimated factor to reduce the number of candidates which is called LMAW.LMAW is a local estimated factor which is used to check whether the itemset is a weighted erasable itemset or not.Our InvP-List algorithm also requires only one database scan.Moreover, our proposed algorithm concerning the local estimated factor creates few numbers of candidates than the IWEI algorithm.From the performance study, we show that our InvP-List algorithm is more efficient than the IWEI algorithm both in the real and the synthetic datasets.
Practical Work on Time Series AI Modeling

This chapter deals with practical work on time series AI modeling, including IoT data collection methods, zone selection for time series AI learning data, and usage of both self-developed and off-the-shelf machine learning software tools. The IEEE 1888 IoT communication protocol is focused how to collect time series data over the Internet.
Development and Application of Fatigue Life Evaluation Software LtsFatigue Based on LiToSim

For the fatigue problem of structure under random loads, the numerical calculation program for structural fatigue analysis is embedded on the self-developed LiToSim platform. Based on LiToSim platform, LtsFatigue fatigue software is developed, and the fatigue life of structure is calculated by using time domain fatigue algorithm, which is processed and calculated by the rainflow counting method. The frequency domain fatigue algorithm is introduced to estimate fatigue life based on the stress response power spectrum and the distribution of stress cycle. Comparing the gear example with the commercial software, the calculation accuracy of the time domain and frequency domain method of LtsFatigue custom fatigue software is verified. The frequency domain algorithm can effectively improve the computational efficiency, which highlights the advantages of the LtsFatigue software. The development of LtsFatigue customized software based on LiToSim platform has significant application value for fatigue simulation of large complex structures.
The Effect of Picture Series through Retelling Story on Students’ Speaking Narrative at Elementary School

The objective of this research is to know how effect picture series on students’ ability in retelling narrative story. The research methodology used in this research is pre experimental design. The result is used to know the effect of picture series through retelling story on students’ speaking narrative. This research was conducted at MTS Muhammadiyah 1 Taman. The sample was chosen from VIII B based on pre observation and pre interview students score that is the lowest of all classes. In collecting the data, this research use pretest and posttest. The test was asked students to perform speak in front of the class in minimal 5 minutes with retell story from picture series. In analysis the data the researcher scoring the score of pretest and posttest, after that drawing the conclusion with computerized of Ms. Excel. Through the analysis of the findings of pre-test and post-test, it can be concluded that picture series gave the positive effect toward students’ speaking ability, this can be seen from the improvement in the score of students in the course. Picture series leads the students’ being self-critical, because they can evaluate their mistakes by their selves. The result of the data revealed after implementing picture series, the students’ speaking scores were significantly better and well improved (the mean of pre-test = 72,43 and post-test = 77,79).
Increase Reading Skills through the Medium of Cards Wall in Children Aged 4-5 Years in Kindergarten

Reading is a unity of integrated activities that include a variety of activities, such as recognizing letters and words, connect with the sound, as well as draw conclusions about the intent bacaanya. Based on the experience of the researcher, that most of the children of group A in TK Aisyiyah Bustanul Athfal 1 Temple, the ability to read A group has not been able to achieve optimal development. It required the application of the card media wall to improve reading skills. This research using the Method of Classroom Action Research to improve their reading skills. This study was conducted in 2 cycles. The study was conducted in three stages namely pre-cycle, cycle I and cycle II to obtain the results as expected. In the pre cycle, most children still acquire an average value of 43,0% while in the first cycle the percentage value increases so that the obtained prosentas the value of be is 61.5%, which means less than the maximum. Then the researchers proceeded to give the action in cycle II, after doing research on the second cycle is the percentage of the average value of the child to 84.8%, resulting from the acquisition of the average in cycle I and cycle II increased again. It can be seen from the comparison between cycle I and cycle II during the study. From the results obtained, there is an increase in proving that with the Media Card Wall can improve the reading ability of the children.
An Analysis of Students Errors in Direct-Indirect Sentence in Online Learning during Covid-19 Pandemic of Tenth Grade Vocation High School

This research refers to the phenomenon that occurs in the world of education in a pandemic situation. The author uses the object of research in class X-Banking students in the second semester of SMK Yapalis Krian for the academic year 2021/2022. The research sample was taken through the data of individual student assignments using the purposive sumpling method to select the object to be studied. In addition, students who will be studied tend to have low interest in participating in online learning. The purpose of this study was to obtain clear information about students' errors in learning Direct and Indirect speech in the sentence using qualitative descriptive methods. At the data collection stage, the author uses data triangulation methods such as observation checklists, documentation and open-ended interviews.The results showed that students made mistakes by being influenced by two factors that students tended to experience during direct and indirect learning, namely the lack of student interest in learning methods. This results in students often not participating in online learning. Furthermore, the most common errors found in students are grammatical errors. With &gt; 8 students who have difficulty due to lack of mastery of grammar correctly.
Preface

We are glad to welcome you to the proceedings of 2022 The 15th International Conference on Computer and Electrical Engineering (ICCEE 2022), which was held on June 24-26, 2022. Due to the cases increasing recently in China, in addition to the travel restriction and in respect of the willingness of all participants, ICCEE 2022 was entirely transferred as online conference instead of in Shenzhen University, China as scheduled. ICCEE was held annually and covered a broad range of topics related to Computer and Electrical Engineering. This year, presenters have presented and discussed topics in their respective research areas. The conference was held for 3 days including the online test sessions on ZOOM on the first day, and then followed with a wonderful array of 6 guest speeches along with 5 technical sessions during June 25-26. The authors’ presentations cover topics on Computer Science and Information Engineering; Computer and Control Automation; Machine Vision and Image Processing; Modern Electronic Information Technology and Application; Electrical Engineering and Automation. 15 minutes for each presentation, including 2 minutes for the Q&amp;A. Delegates had a wide range of sessions to choose from and had enough time in deciding which sessions to attend. After the peer-review of all submissions, 40 full papers were accepted and included in the proceedings. All papers in these proceedings were peer-reviewed by conference technical committee members and international reviewers. We’d like to recognize the hard work of the entire committee for their enormous contribution. Our special thanks go to our speakers as well as all the authors for sharing their latest research results. We hope these talks interest and inspire all of you. Computer and Electrical Engineering have had a successful history. This field has pushed the frontiers of fundamental research, led to the emergence of entirely new disciplines, and revolutionized our daily lives. It extended to all walks of life, from the design of a switch to the research of aircraft. We do hope researchers in this field can create innovative, practical solutions as well as invent, design and build technologies and products that matter in the future. The proceedings will be successful only if these papers could motivate some of you. We look forward to meeting all of you next year at the conference in person. Best regards, Conference Program Chair Chengwen Luo, Shenzhen University, China List of Committees are available in this pdf.
Threshold switching strategy for unambiguous state discrimination of quadrature phase-shift-keying coherent states under thermal noise

Quantum-enhanced measurement technologies can unambiguously discriminate coherent states with accuracy beyond the classical heterodyne measurement. However, typical quantum-enhanced measurement scheme is vulnerable to the thermal noise, which will change the photon counting statistics of the coherent state. This paper presents a threshold-switching strategy that can discriminate quadrature phase-shift-keying coherent states with performance surpassing the typical quantum-enhanced scheme. In our scheme, photon number resolving detectors are used to switch the value of the threshold, which can mitigate the influence of thermal noise and other imperfections. Simulation results show that our scheme unambiguously discriminates the signal states with higher correct probability and the same error ratio compared with the typical scheme. Besides, this scheme can reduce the error ratio simultaneously for thermal noise N ≤ 0.2. The paper demonstrations that quantum-enhanced measurement with the threshold-switching strategy can adapt to different thermal noises by switching the value of the threshold under situations of different thermal noises and signal states.
Perceptual multivariate visualisation of volumetric Lagrangian fluid-flow processes

Lagrangian flow data in oceanography are highly complex, encompassing not only the underpinning Eulerian, advective, vectorial flow fields and the three-dimensional position coordinates of tracer particles but also supplementary trajectory information such as interaction radii of particles, lifecycle source-to-sink information and biochemical process data. Visualising all those data cooperatively in its three-dimensional context is a prime challenge, as it demands to present all relevant information to enable a contextual analysis of the flow process while preventing the most commonly-occurring perceptual issues of clutter, colourisation conflicts, artefacts and the lack of spatial references in fluid-flow applications. In this article, we present visualisation design approaches for 4D spatio-temporal data in their context and introduce a novel colour-mapping approach for 3D velocity tensors. The employed visualisation approach is evaluated towards perceptual adequacy and efficacy with respect to algebraic visualisation design and on an oceanographic case study. The technical and perceptual elements have further implications and applications for still-picture and animated volumetric visualisation design in related applications of the natural sciences, such as geological flow mapping.
The Quality of Distance Learning of Post Graduate Students in the Universities of the Southern Territory from their Perspective

This study aims at revealing the quality of distance learning of post graduate students in the universities of the Southern Territory in Jordan from their perspective.The sample of the study consisted of (442) male and female post graduate students from the governmental Jordanian universities: Mutah University, Tafila Technical University and Al-Hussein Bin Talal University.It was chosen by the cluster randomization method.An evaluation instrument was developed to achieve the purpose of this study, which was included (29) items in its final version.The reliability and validity of instruments were verified.The findings of the present study revealed that the estimates of the quality of distance learning of post graduate students in the universities of the southern territory from their perspective were within the moderate degree.The domain designing and developing instructional materials has ranked first, technology infrastructure has ranked second and student support services has ranked last.In addition, the results showed that there aren`t any statistically significant differences at (α ≥ 0.05) between the means of the evaluation estimates due to the educational qualification variable, diploma and bachelor`s degree, in all the domains.It is also concluded that there are statistically significant differences at (α ≥ 0.05) due to the gender variable with regard to student support services in favor of females.The study recommended the necessity of activating the indicators and domains of the quality of distance learning by stimulating universities to adhere to them.
The Degree of Information Technology Use and Its Impact on the Administrative Creativity of the Employees of Al Muwaqqar Directorate of Education

The current study aimed to reveal the degree of use of information technology and its impact on the administrative creativity of the employees of Al Muwaqqar directorate of Education .It was applied to the study sample, which amounted to (78) employees of the Directorate.The results indicated that the degree of information technology use and its impact on administrative creativity among the employees of Al Muwaqqar directorate of Education came to a medium degree for each of the part related to information technology and the part related to administrative creativity.The results also showed that there were no statistically significant differences in the degree of information technology use and its impact on administrative creativity among the employees of the Directorate of Education due to the variable of gender and educational qualification.
WEB APPLICATION QUALITY MEASUREMENT USING HEURISTIC METHOD

Sinta.kemdikbud.go.id is a web application owned by the Indonesian government under the Ministry of Education and Culture which facilitates the indexing of all research results published in research journals. The indexing website for research results, which are mostly owned by researchers among lecturers, makes it easier for users to find and take advantage of published research results. Its just that the quality of the web application needs to be considered to maximize the experience received by its users. This study aimed to measure the quality of the sinta.kemdikbud.go.id website using the Heuristic Usability method. The results obtained are the website sinta.kemdikbud.go.id meets 7 of the 10 principles of Heuristic Usability. It is hoped that the results of this study will be input for the developer to improve the application and its user interface.
Impact of Al-Ahdeb Oil Field on the Surrounding Environment Using Remote Sensing and GIS Techniques, Wasit Governorate, Iraq

Remote sensing and Geographical Information System (GIS) are used in this study to detect environmental changes in the vicinity of Al-Ahdeb oil field, southwest of Kut City, Wasit Governorate. Different image indices, such as Normalized Differences Vegetation Index (NDVI), Normalized Differences Soil Index (NDSoI), and Normalized Differences Salinity Index (NDSI) are used. Two LANDSAT images with acquired data of September 2007 and 2016 are used to detect the environmental changes and to detect the effect of Al-Ahdeb oil field before and after construction and industrial operation. The results of change detection show there is a high decrease in the vegetation cover during the year 2016 compared with 2007, where the area of vegetation cover has decreased from (165.85 Km 2 ) in 2007 to (119.62 Km 2 ) in 2016. The change detection results from NDSI show that the saline soil in (2016) is higher than those in (2007). The NDSI derived from Landsat TM (2007) image confirms that there is significant increase of salinity in the study area, where the calculated area of the salinity in 2007 is (5.65 Km 2 ) while in 2016 it is (21.951 Km 2 ). Change detection, using NDSoI, show that the land in the study area is going toward desertification and soil degradation. The decrease in the vegetation cover, which in turn led to soil erosion in addition to water shortage and the pollution by the waste of the oil field, could be the main reasons of the desertification in the area. Keywords: Environmental change detection; Image Indices; NDVI; NDSI; NDSoI; Al Ahdeb oil field. DOI: 10.7176/JEES/12-8-03 Publication date: August 31 st 2022