Reviewerly/exHarmony huggingface dataset:
Mammographic Mass Detection Based on Data Separated Ensemble Convolution Neural Network

The number of female deaths caused by breast cancer each year is the second of all causes of death. According to the International Agency for Cancer&#x0027;s Research, early diagnosis can effectively reduce breast cancer mortality. Therefore, our study attempts to construct an automatic X-ray image detection system to help radiologists Interpret the image content to improve the accuracy of diagnosis. In recent years, the development goal of convolutional neural networks is to achieve relatively good accuracy with the least amount of calculation to meet the actual application situation, but ignore the application fields that do not emphasize real-time calculation. Our research will try to use ensemble learning methods to integrate several Efficientnets through two integrated strategies to improve the accuracy of the model. Our study used the DDSM data set, which contains 1329 cases and 5316 digital X-ray images. 641 patients were diagnosed as negative and 688 were diagnosed with benign or malignant tumors. Experimental results show that the accuracy and recall rate of the model can be improved through ensemble learning. The framework proposed in this experiment also achieves an accuracy rate of 87.6 and a recall rate of 91.8&#x0025;.
Improving the winning percentage of the Werewolf team through collusion strategies

In recent years, the number of systems using artificial intelligence (AI) is increasing. Even in Chess, Shogi, and Go, which are perfect information games, AI has been used to beat masters. Furthermore, AI has been actively researched in the imperfect information games Poker and Mahjong, and has reached the point where it can be played on par with humans. On the other hand, the werewolf game focused on in our research is an incomplete information game, and it is also necessary to aim for victory as a team using asymmetric information. In this paper, we report that the winning percentage of werewolf team can be improved by taking a team strategy in a 15-player werewolf game.
Visual Interface for Looking over Micro Contents

Online courses enable learners to learn according to their interests, purposes, and abilities by breaking down the learning contents into smaller micro contents and combining them. In such a case, it is necessary to realize a function to look over many micro contents and select the necessary ones from them. As a method for this purpose, in this paper, a method for visualizing micro contents, which uses topic extraction using LDA and dimensional compression using t-SNE, is proposed.
ITHACA. A TOOL FOR INTEGRATING FUZZY LOGIC IN UNITY

Ithaca is a Fuzzy Logic (FL) plugin for developing artificial intelligence systems within the Unity game engine. Its goal is to provide an intuitive and natural way to build advanced artificial intelligence systems, making the implementation of such a system faster and more affordable. The software is made up by a C# framework and an Application Programming Interface (API) for writing inference systems, as well as a set of tools for graphic development and debugging. Additionally, a Fuzzy Control Language (FCL) parser is provided in order to import systems previously defined using this standard.
Deterministic Particle Swarm Optimization Based on Sine Cosine Wave

In this study, we propose the deterministic particle swarm optimization based on sine and cosine wave (D-PSOW). The particle swarm optimization (PSO) is one of evolutional algorithm and is constructed by many agents. The agents have a position and velocity that are updated according to the global best and the local best. The amount of agent moving is generally decided randomly. In the proposed D-PSOW, the amount of agent moving is decided sine and cosine wave. Each agent is obtained different phase, and the amount of agent moving to the global best and the local best is changed according to cosine and sine wave, respectively. The moving for global best is out of phase with the local best by <tex>$\frac{\pi}{2}$</tex>. Depending on the phase difference, the agent&#x0027;s movement will be divided into a time when it is maximally close to the global best and a time when it is maximally close to the local best. Thereby, the D-PSOW is able to perform efficient solution search. We confirm that the performance of the proposed D-PSOW by using searching solution of five benchmark functions.
A preliminary Study on Seasonal features Understanding from Flyer Images Based on Machine Learning

Today, the keyword assignment for advertisements from within digital leaflet images is mainly done manually, and there are problems such as huge amount of task and individual differences in keyword assignment. In this study, we focus on the analysis of flyer images of seasonal events and propose an image categorization method with seasonal information. Many flyer images of seasonal events have designs that represent the season of the event, such as maple leaves in fall and cherry blossoms in spring. We hypothesized that it is possible to classify flyer images by month or season, based on the differences in the designs for each season. For this hypothesis, this study classifies the collected flyer images based on feature detection and machine learning to classify the differences in design by season, and evaluates the classification results.
A Proposal for One-Stop Contact Points for Student Support in Remote Teaching/Learning at University during COVID-19 Crisis by Institutional Research

In 2020, because of the COVID-19 crisis, remote teaching/learning (RTA) has been implemented simultaneously in higher education institutions across Japan. At that time, there were many faculty members belonging to these institutions who were using RTA for the first time. The majority of faculty members noticed the advantages or disadvantages of RTA from their own experiences; and from student opinions who have experienced RTA, we find insights to successfully implement RTA. Efforts to improve the quality of RTA was the main focus of our response to the recent situation; the new status quo will continue until a vaccine is widely available. However, once the situation turns around and classes return to normal, we believe that we will see a search for more effective teaching practices that take advantage of the characteristics of both face-to-face classes and RTA. It would be effective to set up a one-stop contact point for student support (naming OSCPSS) for a certain period of time until the students become familiar with the new method. This is one of the easiest ways for universities to keep students motivated to learn and get the most out of the new educational methods.
A Preliminary Approach on an Exciting Shuffling Method in Card Games

There are various methods of shuffling on the playing cards, such as the riffle shuffle and the wash shuffle, and each method is used to fit to different situations. However, these shuffles are mainly useful for playing with a specific kind of cards, and the useful shuffles for other card games such as trading card games (TCG), which may use multiple cards for the same type, have not been investigated. In this paper, we would study how a useful shuffling can be applied in the context that maximizes the enjoyment of the game with multiple cards for the same.
A Preliminary Study of Closed Generalized Itemsets and Their Enumeration Algorithms

In this paper, we propose a new form of itemset, i.e., a generalized itemset consisting of both positive and negative items. The generalized itemset has more expressive power and can extend the association rules. We firstly study some basic properties of a closed generalized itemset, such as the closure. Next, we propose three sorts of algorithms enumerating all closed generalized itemsets. Finally, we show some preliminary results for comparing the performances of these enumeration methods through experiments.
Towards Path Planning and Environmental Recognition for Autonomous Car Parking with Multiagent Control

In bad weather environments such as rainy or snow, car parking becomes difficult. Especially, this makes an impact to some nations since like Japan and Singapore are facing the problem of aging problems. Elder finds it difficult to park their car at night which becomes worse in bad weather. In addition, generally, car parking spaces are narrow which makes the problem more complex. In this paper, we present our preliminary analysis on the performance of different vision sensors, 2D LiDAR, and 3D LiDAR on the basis of the quality point cloud data information and feature detection. Motion planning for auto-car parking depends on the extraction of environmental information. We also present our analysis on the path planning for auto-parking in narrow space on the basis of computational time, path length, and success rate. An approach which utilizes RRT&#x002A; algorithms is proposed for auto-parking in different parking scenarios with a small model car in the simulation environment.
Semantic Analysis of the Linguistic Features Used on Urdu Hoardings in Lahore

It is an established truth that advertising copywriters expertly manipulate language to suit their purpose of communicating advertising messages (Emodi, 2011). This research aims to explore to what extent advertisers manipulate language rather distinctively than the daily use of language. The current work presents a descriptive analysis of the linguistic features of Urdu ads at semantic level. The study uses qualitative approach where twenty Urdu hoardings were selected through purposive sampling technique from Gulberg and Hall Road, Lahore. The writer collected the data by looking at the meaning of advertisements printed on hoardings. In analyzing the data, the writer applied Leech’s theory of semantics. The writer found the use of connotative words, adjectives, coined words,misspelled words, repetition, and the ambiguous statements in advertisements on hoardings. Every message has a very important role to play in building up the advertiser’s message. So, on the basis of these findings it is stated that advertisers use persuasive language while violating the semantic laws which is distinctive from the language used in every day communication.
Penerapan Metode Multi Attribute Utility Theory (MAUT) dalam Memberikan Rekomendasi Pemenang Lomba MTQ

Musabaqah Tilawatil Qur'an is a competition in the field of syiar ’s content. The decision of the winners in MTQ competition was determined by the judges, especially in Merauke district, is currently carried out by the judges of each field, with the calculation of the value based on predetermined criteria. However, in its assessment, it has not applied priority to the criteria used to determine the winner. The results of the assessment given have not used data analysis methods that can be used to process assessment data into information that will support decision making in determining the winner of the competition. In order to reduce subjectivity in the assessment of participants, a decision support system is needed that has implemented a decision-making method. This study aims to build a decision support system using the Multi Attribute Utility Theory (MAUT) method. The results on the implementation of this method in a decision support system using an accuracy test indicated an accuracy of 95.6%. The accuracy value indicates that the MAUT method is an accurate data analysis method in analyzing the assessment data for determining the winner of the MTQ competition.
Application of Cross-Correlation to Seismic Signal Database of Agadir

International Journal of Computer Sciences and Engineering (A UGC Approved and indexed with DOI, ICI and Approved, DPI Digital Library) is one of the leading and growing open access, peer-reviewed, monthly, and scientific research journal for scientists, engineers, research scholars, and academicians, which gains a foothold in Asia and opens to the world, aims to publish original, theoretical and practical advances in Computer Science,Information Technology, Engineering (Software, Mechanical, Civil, Electronics & Electrical), and all interdisciplinary streams of Computing Sciences. It intends to disseminate original, scientific, theoretical or applied research in the field of Computer Sciences and allied fields. It provides a platform for publishing results and research with a strong empirical component. It aims to bridge the significant gap between research and practice by promoting the publication of original, novel, industry-relevant research.
Improving Students’ Ability in Writing Recount Text by Using the Characters in the Films

The students of EFL Classroom sometimes find difficulty in writing. The students difficulty in writing caused by the gate between the students’ L1 and L2 and the lack of supported information related to the source of idea for writing. Teaching media are to solve the problems especially in writing. This study is aimed at using films, especially the characters, as media in improving students’ ability in writing recount. The subject of the study were 30 numbers of 10th graders of vocational school students. The findings showed that the average of the pre-test and post-test scores were 67.53 and 83.63. The improvement calculation was found 0.496 which was categorized as medium. The calculation of applying the t-test was on rejection area of ??Ho, showed that the post-test was better than the pre-test. According to the data analysis, the writer concludes that the strategy by using films is applicable since it helps students to solve their problem in writing recount. The media enable the students to actively engage to the learning process and improve their ability in writing for they give them the idea of writing recount.
Test Automation Framework for Content Delivery Network

International Journal of Computer Sciences and Engineering (A UGC Approved and indexed with DOI, ICI and Approved, DPI Digital Library) is one of the leading and growing open access, peer-reviewed, monthly, and scientific research journal for scientists, engineers, research scholars, and academicians, which gains a foothold in Asia and opens to the world, aims to publish original, theoretical and practical advances in Computer Science,Information Technology, Engineering (Software, Mechanical, Civil, Electronics & Electrical), and all interdisciplinary streams of Computing Sciences. It intends to disseminate original, scientific, theoretical or applied research in the field of Computer Sciences and allied fields. It provides a platform for publishing results and research with a strong empirical component. It aims to bridge the significant gap between research and practice by promoting the publication of original, novel, industry-relevant research.
Organisation of work on labeling of the book collection with RFID tags in the department of organisation of the basic collection of the Central scientific library named after Yakub Kolas of the NAS of Belarus

The article focuses on the use of RFID technologies in the library, standard operating procedures of work with RFID tags in the Department of Organisation of the Basic Collection and assessment of the results of the RFID system implementation. The author describes hands-on experience of labeling a large book collection (723 799 books) with RFID tags as part of RFID technology introduction into the practice of the Department of Organisation of the Basic Collection of the Central Scientific Library named after Yakub Kolas of the NAS of Belarus (the CSL of the NAS of Belarus). The relevance of the issue is explained by the fact that this is an innovative activity for Belarus. This information may be used by other libraries in the process of decision making about the implementation of RFID technologies and evaluation of such project. The article reveals essential conditions that have an impact on the convenience of working with the RFID system, and describes step-by-step process of work with RFID tags of a librarian — an employee of the Department of Organisation of the Basic Collection. The author’s aim is to share practical experience, to describe the discovered advantages and disadvantages of RFID tags and their impact on daily work. The research results show that in the course of RFID technology implementation the library received a number of positive results related not only to automation, but also standard library process procedures. Full-featured use of the RFID systems capabilities in the long-term allows developing library ser vices making use of existing experience and the latest achievements, as well as facilitates integration into the modern environment.
The effectiveness of the educational process in universities in modern conditions of digitalization

The purpose of the study is to reveal the factors and features that increase the efficiency of the educational process in universities in modern conditions of digitalization. The article consistently analyzes the features of the processes occurring in the modern digital economy, shows their impact on the effectiveness of the educational environment of the university, and also considers the specific features of digitalization in modern socio-economic conditions. The scientific novelty of the research lies in the theoretical analysis of the ways and means of increasing the efficiency of educational work in the university. Based on the theoretical data of the research, it is possible to create practical and theoretical programs and make possible changes in the educational policy of universities in order to better use digitalization in the educational process. As a result, the article reveals the features of the influence of informatization on the educational environment of the university and ways to improve its efficiency.
Impact of Digitized Instructional Materials in Teaching Phonology in the New Normal

Audio-visual learning materials can be considered effective tools in enriching the classroom experience for students by giving them the complete experience of observing the situations and processes in a speech class. The study attempts to determine the utilization of digitized instructional materials on students’ speaking skills. Specifically, it aims to assess the level of mastery of the students’ speaking skill in terms of vowel and consonant sounds and speaking patterns, analyze the problems encountered by the respondents during the utilization of Digitized Instructional Material in speech class, and prepare digitized instructional material in order to improve the speaking skill of the students. The descriptive research method was used to gather the needed data for the study. The results of the study revealed that the majority of the respondents displayed a good performance in the production of vowel and consonant sounds. The production of rhythm and intonation patterns were classified in the mastery level. It showed that the DIM had a great impact on the speech production of the respondent as they were classified in the mastery level. As recommended, the Digitized Instructional Material in speech class is highly recommended to be used by the learners as production of correct sounds in English classes sometimes is not anymore observed.
The Implementation of Hexagonal Robot Mapping and Positioning System Focuses on Environmental Scanning and Temperature Monitoring

&lt;div&gt;&lt;p class="4"&gt;Various researches in the field of robotics have made great progress in developing methods to effectively determine the position of robots in unknown environments. The simultaneous localization and mapping (SLAM) task make determining the current position of the robot and performing path mapping possible. In this mapping, solid elements (landmarks) existing in the actual environment are even detected, which indicate that the direction of the robot changes during walking. This scheme provides the implementation analysis of the probabilistic particle filter method, which ensures the correct performance in the controlled actual scene under specific conditions, obtains the non-network connection environment information by storing the data in the temperature value sampling in the CVS file, and monitors the temperature measurement by displaying the heat map. Successful analysis must ensure the robustness of the results obtained when implementing these systems and take into account the feasibility of applying this work to the proposed objectivesd.&lt;/p&gt;&lt;/div&gt;
Stay Positive: Non-Negative Image Synthesis for Augmented Reality

In applications such as optical see-through and projector augmented reality, producing images amounts to solving non-negative image generation, where one can only add light to an existing image. Most image generation methods, however, are ill-suited to this problem setting, as they make the assumption that one can assign arbitrary color to each pixel. In fact, naive application of existing methods fails even in simple domains such as MNIST digits, since one cannot create darker pixels by adding light. We know, however, that the human visual system can be fooled by optical illusions involving certain spatial configurations of brightness and contrast. Our key insight is that one can leverage this behavior to produce high quality images with negligible artifacts. For example, we can create the illusion of darker patches by brightening surrounding pixels. We propose a novel optimization procedure to produce images that satisfy both semantic and non-negativity constraints. Our approach can incorporate existing state-of-the-art methods, and exhibits strong performance in a variety of tasks including image-to-image translation and style transfer.
Coding theory based on balancing polynomials

Abstract In this paper, we introduce a <m:math xmlns:m="http://www.w3.org/1998/Math/MathML" display="inline"> <m:mrow> <m:msubsup> <m:mrow> <m:mi>Q</m:mi> </m:mrow> <m:mn>2</m:mn> <m:mi>n</m:mi> </m:msubsup> <m:mrow> <m:mo>(</m:mo> <m:mi>x</m:mi> <m:mo>)</m:mo> </m:mrow> </m:mrow> </m:math> Q_2^n\left( x \right) matrix, whose elements are balancing polynomials, and develop a new coding and decoding method following from the <m:math xmlns:m="http://www.w3.org/1998/Math/MathML" display="inline"> <m:mrow> <m:msubsup> <m:mrow> <m:mi>Q</m:mi> </m:mrow> <m:mn>2</m:mn> <m:mi>n</m:mi> </m:msubsup> <m:mrow> <m:mo>(</m:mo> <m:mi>x</m:mi> <m:mo>)</m:mo> </m:mrow> </m:mrow> </m:math> Q_2^n\left( x \right) matrix. We establish the relations between the code matrix elements, error detection and correction for this coding theory.
FEATURES OF DISTANCE TEACHING PHYSICAL AND MATHEMATICAL DISCIPLINES FOR STUDENTS FIRST COURSE OF ECOLOGICAL SPECIALTIES

The article analyzes the main problems of distance teaching of physics and mathematics courses to first-year students of environmental specialties. The ways of overcoming them with the use of various systems and resources of electronic support of students ‘ education are considered. It is shown that the success of solving didactic tasks is determined by the choice of effective pedagogical technologies and the use of the most suitable telecommunications and information educational platforms for their implementation.
Conclusion and Future Direction

chapter Share on Conclusion and Future Direction Authors: Laleh Jalali University of California, Irvine (UCI), Hitachi America Ltd. University of California, Irvine (UCI), Hitachi America Ltd.Search about this author , Ramesh Jain University of California, Irvine (UCI) University of California, Irvine (UCI)Search about this author Authors Info & Claims Event Mining for Explanatory ModelingMay 2021 https://doi.org/10.1145/3462257.3462265Published:20 May 2021Publication History 0citation2DownloadsMetricsTotal Citations0Total Downloads2Last 12 Months1Last 6 weeks1 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my Alerts New Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteGet Access