Reviewerly/exHarmony huggingface dataset:
Handwritten Marathi Character Image Recognition using Convolutional Neural Network

With the advent of digitization these days, there has been an upper leverage of machines to perform the tasks that are troublesome for humans to do manually. In earlier decades, most of the valuable information were demonstrated with the help of pen and paper and were stored in physical form. Hence there is an imminent need to develop the techniques that can extract, search and understand these handwritten chronicles. The meaningful information is now present in multiple scripts which humans can comprehend but computers cannot. Various machine learning algorithms are being developed to make the computer learn and image recognition is like the icing on the cake. This paper presents a convolutional neural network (CNN) approach to make computer recognize the diversified Marathi language characters. The code is implemented using twelve layer filters and results are interpreted using the machine learning Tensorflow library developed by Google.
On the Development of a Hybridized Ant Colony Optimization (HACO) Algorithm

This paper proposes a Hybridized Ant Colony Optimization (HACO) algorithm. It integrates the advantages of Ant System (AS) and Ant Colony System (ACS) of solving optimization problems. The main focus and core of the HACO algorithm are based on annexing the strengths of the AS, ACO and the Max-Min Ant System (MMAS) previously proposed by various researchers at one time or the order. In this paper, the HACO algorithm for solving optimization problems employs new Transition Probability relations with a Jump transition probability relation which indicates the point or path at which the desired optimum value has been met. Also, it brings to play a new pheromone updating rule and introduces the pheromone evaporation residue that calculates the amount of pheromone left after updating which serves as a guide to the successive ant traversing the path and diverse local search approaches. Regarding the computational efficiency of the HACO algorithm, we observe that the HACO algorithm can find very good solutions in a short time, as the algorithm has been tested on a number of combinatorial optimization problems and results shown to compare favourably with analytical results. This strength can be combined with other metaheuristic approaches in the future work to solve complex combinatorial optimization problems.
Secure Cloud Quantum Computing with Verification Based on Quantum Interactive Proof

In cloud quantum computing, a classical client delegate quantum computing to a remote quantum server. An important property of cloud quantum computing is the verifiability: the client can check the integrity of the server. Whether such a classical verification of quantum computing is possible or not is one of the most important open problems in quantum computing. We tackle this problem from the view point of quantum interactive proof systems. Dr Tomoyuki Morimae is part of the Quantum Information Group at the Yukawa Institute for Theoretical Physics at Kyoto University, Japan. He leads a team which is concerned with two main research subjects: quantum supremacy and the verification of quantum computing.
PENGGUNAAN ALAT PERAGA DAKOTA UNTUK MENINGKATKAN HASIL BELAJAR MATEMATIKA MATERI KPK DAN FPB PADA SISWA KELAS IV SEKOLAH DASAR NEGERI DURI KEPA 03 JAKARTA BARAT

This research is based by the problem that occured in 4th grade students of Duri Kepa 03 elementary school which is there are students who have difficulty completing mathematical problems which are shown from the learning outcomes are still have minumum score. From the 32 students, only 8 students who reached above the minimum completeness criteria (KKM), while 24 students get score under of the minimum completeness criteria (KKM). It happens because the teacher only using the greatest common factor in learning so that it does not make the students involve active in learning. To solve this problem, the learning process used dakota teaching aids, because by using dakota teaching aids students can get actively involved and it can help students who have difficulty learning. The purpose of this research is to increase student mathematics learning outcomes by using the dakota teaching aids. The results showed an increase in learning outcomes, which is in the first cycle the percentage of students' learning outcomes was 48,39%, whereas in the second cycle it increased become 80,65%.
Tsallis Entropy-Based Fuzzy Latent Semantics Analysis

In this study, we present a fuzzy counterpart to the probabilistic latent semantic analysis (PLSA) approach. It is derived by solving the optimization problem of Tsallis entropy-penalizing free energy of a pseudo PLSA model by using a modified i.i.d. assumption. This derivation is similar to that of the conventional fuzzy counterpart of the PLSA, which involves solving the optimization problem of Shannon entropy-penalizing free energy. Furthermore, the proposed method is validated using numerical examples.
An Analysis of Satisfaction of Mentoring Classes in University Liberal Arts Education: From a Holistic Education Perspective

이 연구는 대학의 교양과목인 멘토링 수업에 대한 만족도를 조사 및 분석하는 데 그 목적이 있다. 먼저 멘토링의 개념과 멘토링 수업에서의 멘토와 멘티의 역할을 알아보았고, 대학교양교육의 구성체계와 교과목 개발 절차에 대해 기술하였다. 대학교육과정에 홀리스틱교육의 원리를 적용하였다. 이 연구의 목적을 위하여 멘토링 과목 관련자를 대상으로 조사를 하였는데, 조사대상은 B대학의 교양과목인 멘토링 교과목,「대학생활과 진로」와「취·창업과 진로」담당교수와 수강한 신입생 및 졸업 예정자들을 대상으로 실시하였다. 조사 방법은 설문조사를 온라인 및 오프라인 방법으로 진행하였고, 조사 내용은 멘토링 과목의 운영 목적과 수업 만족도, 수업의 필요성으로 구성되어 학기말에 실시되었다. 설문지 조사 분석결과에 따르면, 조사대상자들은 멘토링 과목을 통해 신입생은 자긍심과 자아상을 가지고 대학생활에 적응하는 데 도움이 되며, 졸업예정자는 올바른 직업관과 취업마인드로 성공적인 취업에 영향을 준다고 응답하였다. 또한 교수와 선배, 동기들과의 전인적인 관계 형성에 도움이 된다고 응답하였다. 멘토링 수업의 만족도를 높이기 위하여 멘토링 수업 시간을 통해 교수와 학생들과의 친밀감을 형성할 수 있는 시간이 더 필요하다고 응답하였다. 대학교양과목으로서 맨토링 수업의 필요성을 확인하고 만족도 제고를 위한 방안을 제시하는 데 이 연구의 의미가 있다.The purpose of this study is to investigate the satisfaction level of mentoring class, which is the liberal arts subject of university from holistic education perspective. First of all, the concept of mentoring and the role of mentors and mentees in mentoring classes were stated, and It describes the structure of university education and the course of course development. The principles of the teaching-learning method of holistic curriculum are applied. The subjects of this study were the college life course, mentoring course, which is the liberal arts of B university, and the students of the course. The survey was conducted using the survey method, and the survey was conducted at the end of the semester, consisting of the purpose and satisfaction of the mentoring course and the necessity of the class. According to the survey results, several improvements were identified to increase the satisfaction of mentoring classes. The respondents responded that they needed more time to build intimacy between professors and students through mentoring class and demanded autonomous management of class time. The purpose of this study is to identify the necessity of mantoring classes and to suggest ways to improve satisfaction as a university liberal arts. The importance of liberal arts education in university education is emphasized recently.
Vark Questionnaire Online Platform as a Spearhead for the Effectiveness of Styles and Methods of Teaching Teachers

This article was created to provide recommendation for a teacher as the key to transfer the knowledge, to determine the appropriate teaching style and learning method to apply to a class that is generally per class have different learning styles or typologies of learning.Vark Questionnaire Online is a tool commonly used to diagnose accurately related to an individual's learning style.The method used by the compilers in drafting the article is to use a literature review of the primary reference of research, as well as a secondary reference book that has high credibility.What it's found in this paper through the study of the various references are: (1) teacher teaching style affects the learning motivation of students; (2) Online Vark Questionaire is rated effective to determine the appropriate learning style for learners; and (3) learning styles and proper teaching methods can make classroom management accomplished effectively and efficiently.Based on these findings, the author finds a recommendation regarding a variety of teaching styles and teaching methods suitable for the majority of class-owned learning styles by applying the Vark Questionaire Online as the majority determinant of the class has a learning style.Based on the findings and results obtained in this article, it can be concluded that the Vark Questionaire Online can be used as a tool to determine the teaching style and learning method suitable for teachers.
The effect of self-control on the self-confidence and social development of youth club participants

The purpose of this study was to investigate the effect of self - regulation on the sport self - confidence and social development of youth sports club participants. The subjects of this study were 402 elementary school students in Gyeonggi-do D for final analysis. The collected data were verified using exploratory factor analysis, correlation analysis, and multiple regression analysis using PASW 21.0. The results obtained through these procedures are as follows. First, male students showed higher scores in all factors than female students in general characteristics. Second, there was a difference in all factors except for self - control in the difference of participating events. Third, the effect of self - control on sports self - confidence and social development was found to have a significant effect on all factors except some factors. The results of this study are expected to be used as basic data for the development of various teaching plans and programs for guidance of young people.
A Heuristic-Based Model for MMMs-Induced Fuzzy Co-Clustering with Dual Exclusive Partition

MMMs-induced fuzzy co-clustering achieves dual partition of objects and items by estimating two different types of fuzzy memberships. Because memberships of objects and items are usually estimated under different constraints, the conventional models mainly targeted object clusters only, but item memberships were designed for representing intra-cluster typicalities of items, which are independently estimated in each cluster. In order to improve the interpretability of co-clusters, meaningful items should not belong to multiple clusters such that each co-cluster is characterized by different representative items. In previous studies, the item sharing penalty approach has been applied to the MMMs-induced model but the dual exclusive constraints approach has not yet. In this paper, a heuristic-based approach in FCM-type co-clustering is modified for adopting in MMMs-induced fuzzy co-clustering and its characteristics are demonstrated through several comparative experiments.
Performance Evaluation of Energy Efficient Power Models for Different Scheduling Algorithms in Cloud using Cloud Reports

Energy Efficiency and the Scheduling Policies are the key parameters of Cloud specialist organizations. Consistently immense measures of electrical vitality devour by Cloud server farm which prompts more cost in expenses and discharge of CO 2 to nature which is unfortunate for us. For this situation the need of Green Cloud tactics for limit emanation of carbon impressions just as operational expenses is the most extreme want. In our experimental work we have executed four distinctive power models, for example, Linear model, Cubic model, Square model and Square Root model with three different schedulers i.e. Time-Shared scheduling, Space-Shared scheduling and Dynamic-Workload scheduling on an IaaS Cloud condition to discover the best combination. Here we thought about the CPU uses and power utilization by empowering virtual machine migration. We discovered that the Cubic polynomial model under Time-Shared scheduling consumes less resource utilization (CPU, RAM and Bandwidth). Hence this combination is the most proficient one and expends less power.
Object Feature Extraction Using Double Rearrangement of the Corner Region

In this paper, we propose a simple and efficient retrieval technique using the feature value of the corner region, which is one of the shape information attributes of images. The proposed algorithm extracts the edges and corner points of the image and rearranges the feature values of the corner regions doubly, and then measures the similarity with the image in the database using the correlation of these feature values as the feature vector. The proposed algorithm is confirmed to be more robust to rotation and size change than the conventional image retrieval method using the corner point.
SRNet: a cascade network to speckle reduction of SAR image

Speckle noise limits the usage of synthetic aperture radar (SAR) for object recognition and segmentation tasks. Most traditional methods sacrifice useful image information to achieve speckle reduction. The classic method based on local sliding window filtering has obvious side effect of erasing object edges and blurring texture information comparing with ground truth image. Another widely used method is convolutional neural network based on mean squared error, the visual effect of denoised image is not satisfactory even though MSE loss can have higher peak signal-to-noise ratio (PSNR) performance. In this paper, we present a cascade network to address this problem, namely SRNet, which employs an asymmetric architecture for the task of speckle noise reduction. The cascade architecture can supervise the network to revise on both pixel-wise level and feature-wise level by calculating correlation coefficient loss on the feature maps. In the meanwhile, we utilize the auxiliary loss on the intermediate results to accelerate the convergence of the network. The proposed network preserves the edge texture details much better than other compared methods.
К вопросу об актуальности проблемы гендерных предубеждений в сфере науки

The problem of gender prejudices in science is discussed. The socio-psychological factors of women participation in scientific activities are considered: gender stereotypes, gender prejudices, gender socialization, role conflicts, career orientations, etc.
UWM Libraries Research and Course Guides: Evidence-Based Practice (EBP) Tutorial: Step 3: Appraise

Testing Ground for Revamping the EBP Tutorial How to critically appraise types of articles and evidence identified during the search process.
Creating the English Grammar Tenses Pattern Using Regular Expression Method

Speaking English, of course, cannot be separated from Grammar and Tenses. Grammar and Tenses are a vital part of English that must be mastered by English learners, especially for those who interact with English in both oral and written form. Regular Expressions are used to create patterns from Grammar and Tenses formulas in English, which then as the author basis reference to form a pattern of those formulas. The purpose of this research is to apply Regular Expressions to each Grammar and Tenses formula in English. The result of this research is in the form of testing regular expression patterns, which aims to know how far the quality of regex pattern we used.
Talking About the Application of Information Technology in College Aerobics Teaching

In the new period, it is inseparable between China's development of information technology and human's production and life. It has been an efficacious way to develop that information and technology was integrated to the college aerobics teaching. Accordingly, facing the issues in aerobics teaching of normal universities, the use of information technology to implement the practical application of three stages includes pre-course, in-class and after-school from different perspectives of teachers and students. Only in this way can it be helpful for aerobics teaching. This measure in aerobics teaching could ultimately carry its point which promote the integrated development of students.
Cloud-based mission coordinator for Unmanned Aerial Systems (UAS) in urban applications

In the last years, the use of Unmanned Aerial Systems (UASs) has experienced a significant increase. They are becoming more affordable and accessible and many industries are attracted by the benefits that Unmanned Aerial Vehicles (UAVs) can offer. One of the most promising UAV applications rests on the logistic industry, specifically the delivery of goods. Some companies are investing heavily for some time to create a delivery service based on these aerial vehicles. On the one hand, the scenario seems to be very appropriate. The predictions of urban population rise and the trend of cities development of being transformed into smart cities provide important ingredients for a successful implementation of UASs. On the other hand, this scenario presents difficulties originated by regulation constraints. So far, the execution of missions that involve unmanned aerial vehicles require a lot of staff. Against this fact, an autonomous cloud-based mission coordinator is proposed in this project. This coordinator will reduce the requirements of personnel and will help to perform predefined missions by a fleet of UAVs. A very important action that is carried out by the mission coordinator is path planning. The main work of this project is focused on this task which is crucial to obtain optimal performances. The path planner uses mission requirements, such as the starting point and the target point, and a model of the environment to compute and optimise paths that vehicles will follow to accomplish the mission. The environment has been modelled as a static cell-decomposed map in which each cell has an associated risk value. This value plays the role of a crossing cost while paths are computed. Research on optimisation techniques in this field has been done and three different methods (Dijkstra's algorithm, A* and D*) have been tested to obtain the path solutions. It was noticed that their performances depend on the features of the environment model, mainly on the size. In this approach, the management of a fleet of UAVs and the presence of docking stations are considered. These stations provide places where vehicles could be recharged or cargo(es) may be exchanged. The result is a multi-vehicle problem that must be solved by using the adequate resources of the system. For this reason, the mission coordinator also generates a tree with all the possible path combinations between current locations of vehicles, docking stations, and picking and target points to find the best group of vehicles to perform the mission. The optimal solution is represented by the branch of the tree that has the lowest accumulated cost. In order to simulate delivery missions and develop the mission coordinator a series of functions and programs were created with MATLAB. After being tested, a web application based on these MATLAB scripts was created and hosted in a local-server what provides a cloud-based architecture to the mission coordinator.
Teaching and learning via chatbots with immersive and machine learning capabilities

Chatbot is a computer program that simulates human conversation through voicecommands or text chats or both. Chatbots are designed to convincingly simulate how ahuman would behave as a conversational partner. Chatbots with artificial intelligencetechnology can be used to teach the students by turning a lecture in a series of messagesto make it look like a standardised chat conversation. The paper describes thedevelopment of intelligent chatbots that had been built for Java programming course.Most of the learning courseware/systems to learn Java programming language aremerely repository of static and monotonous contents such as hyperlinked onlinetutorials, video lectures, etc. In order to address these shortcomings, seven text-basedconversational chatbots for the students to learn Java in an interactive and engagingmanners had been built. Each of these chatbots focuses on different programmingconcepts or constructs. These chatbots support learning of Java via problem-solvingsteps through “learning by doing”. The unique features of these chatbots are (i) Thechatbots are self-contained, interconnected and are able to initiate a learning processfor a particular learning outcome and provide feedback to a student as they are workingthrough problems; (ii) These chatbots are able to engage the learners’ in the “one-toone” session of the problem-solving process for more than one-hour throughconversing with a student; and (iii) It supports immersive learning in order simulate therealistic scenarios and environments that give learners the opportunity to practice skillsand interact with the simulated tutor. These chatbots acquired its intelligence througha hybrid approach that combines pattern-matching technique and machine learningalgorithm in order to formulate its responses. The feedback from the students who usedthese chatbots and the effect of these chatbots on the students’ understanding of thesubject matter were favourable as discussed in the paper. (Abstract by author)
Opinion mining of online product reviews using a lexicon-based algorithm

The worldwide social media is a rich resource of user-generated data, which can help organizations to formulate their business strategies, or affect the process of decision making in product or service design and implementation. The focus of this thesis is on extraction and analysis of unstructured product reviews for training predictive models, which recognize a specific range of human affective states. These affective states include emotions, moods, opinions, attitudes, as well as continuous dimensions for sentiment characterization, such as valence or intensity. Based on the sentiment analysis, the task is to build a domain-specific sentiment dictionary of English words form the product posts and comments, and to propose and test of lexicon-based algorithm to predict the user opinions.
IMPROVING STUDENTS' SPEAKING ABILITY USING RADIO TALK SHOW PROGRAMME

Media provide students and teachers with creative as well as practical ideas and enable them to meet various interests and needs, hence, this study analysed the implementation of using media particularly radio programme to improve students’ speaking ability. This study employed descriptive qualitative approach and there were 42 students of senior high school involved in this study. The results indicate that the implementation of media (radio talk show programme) assists students to improve their speaking ability; it can be one of methods in teaching and learning process especially in speaking class; and the influence of media (radio talk show programme) could encourages and motivates students to pull out their best of communication skill particularly in using English.
LibGuides: Accessing Digital Archives: Home

This guide provides tips for accessing Wilson Special Collections Library's website archives, social media archives, and born-digital collections.
Image Restoration Of Reflective Area In Organs Of Diseased Pigs Based On Improved Criminisi Algorithm

The moisture content present in the organs of diseased pigs leads to the reflective phenomenon when collecting images. The resulted problem thus affects the recognition of the symptoms of the diseases. In order to improve the reliability of identification, an improved algorithm was proposed in this research based on the Criminisi algorithm. The artificial markup was processed with mathematical morphology closing operation, so that the area to be repaired could be completely covered by the marker. This ensures the correctness of the markup and improves the repair result. The normalizing function is introduced to define and to avoid the fast decay of the confidence term. The priority function is defined in the form of weighted sum, which avoids the problem of unreliable repair order caused by zero priority value. The experimental results show that the improved Criminisi algorithm is more reliable and the filling results look more natural and realistic.