Reviewerly/exHarmony huggingface dataset:
ML-MDLText: A Multilabel Text Categorization Technique with Incremental Learning

The growing number of textual documents currently available on electronic media and on the Internet imposes real challenges for many applications that demand searching and content analysis. As a consequence, text classification has emerged as a field of great interest in machine learning in the last decade. In many real-world applications, textual documents can naturally be labeled in different categories, and moreover, the value of their features can change over time requiring learning approaches with the ability to adjust their hypothesis in a very efficient way. Therefore, online learning and multilabel classification are in the spotlight nowadays, since very few currently available approaches are able to handle such problems simultaneously without requiring problem transformation. In this study, we propose a new multilabel text classification method based on the minimum description length principle that can be applied to real-world, dynamic, and large-scale problems because it does not require transformation of the classification problem and naturally supports online learning. We evaluated the performance of the proposed method in three online learning scenarios using 15 benchmark datasets. The results indicate that the proposed method is very competitive with the established techniques.
Effective Learning to Rank for the Persian Web Content

Persian language is one of the most widely used languages in the Web environment. Hence, the Persian Web includes invaluable information that is required to be retrieved effectively. Similar to other languages, ranking algorithms for the Persian Web content, deal with different challenges, such as applicability issues in real-world situations as well as the lack of user modeling. CF-Rank, as a recently proposed learning to rank data, aims to deal with such issues by the classifier fusion idea. CF-Rank generates a few click-through features, which provide a compact representation of a given primitive dataset. By constructing the primitive classifiers on each category of click-through features and aggregating their decisions by the use of information fusion techniques, CF-Rank has become a successful ranking algorithm in English datasets. In this paper, CF-Rank is customized for the Persian Web content. Evaluation results of this algorithm on the dotIR dataset indicate that the customized CF-Rank outperforms baseline rankings. Especially, the improvement is more noticeable at the top of ranked lists, which are observed most of the time by the Web users. According to the NDCG@1 and MAP evaluation criteria, comparing the CF-Rank with the preeminent baseline algorithm on the dotIR dataset indicates an improvement of 30 percent and 16.5 percent, respectively.
Data Fluency Digital Toolkit Poster - Minor Prize

Poster selected as a Minor Prize winner in the Monash University Data Fluency Digital Toolkit Poster Competition, 2019.My poster was selected for this prize by a judging panel including Monash University Library, the Bioinformatics platform, eResearch and Data Futures Institute, based on the poster's content, design and aesthetics, innovation and originality, data visualisation and interdisciplinary approach.This poster describes the tools and process used to automate processing of digitized images for large scale digitization projects used for Monash University Library's online collections & exhibitions. Tools like ImageMagick, Ghostscript, PDFtk Server & Windows Batch Scripting were used to make this possible. The automated process helped decrease hours in manual handling & formatting of scanned images.
Implementation Of Neural Network And Canny Edge Detection To Recognize the Crime Through Surveillance Cameras

The development of the smart city era in various countries is still offset by the magnitude of crime rates in every corner and downtown.Delivery of slow information to find out early crime will affect the precautions that should be taken, so as to require intelligent system-based tools.This research object is based in Jakarta Smart City (JSC) as an integrated command center with 5000 more surveillance cameras that have been installed at all strategic points in Jakarta.Surveillance cameras that have been fitted with intelligent system tools will send information to the JSC command center so that the category of criminal activity is immediately detected and immediate prevention.Among the analytical methods used are computational intelligence using Neural-network System, through video surveillance camera performed image processing using facial recognition techniques and body motion with canny edge detection algorithm segmentation.Measurement testing using a method of absolute percentage error (MAPE).So, the result level to the accuracy is 65%.Difficulty in the process of recognition because it is difficult to get the position of taking the corner of the suspect image and the victim.Implementation of intelligent system-based technology installed in surveillance cameras is expected to reduce crime rates.
Uzaktan Kontrollü İnsan Makine Arayüz Uygulamasıyla Yeni Bir Eğitim Platformu

In recent years, it is seen that learning is be more permanent and influential, if the educational materials are supported by the technology. Especially, doing practices by the first hand maximizes the learning percentages. Among these materials, supported by the technology such as remote controlled human-machine interface called as Microsoft KinectTM(Kinect) also takes its place. In this study, with the educational platform developed by authentic software with Kinect, students’ being in a more active environment and increasing cooperation between student and teacher are aimed
Digital Tools and the Right to Know

In very near future, there will be a significant increase in the number of opportunities open to consumers and public and private corporations to base their purchase decisions on much more than price and performance characteristics.Still largely unnoticed by the majority of the public, a revolutionary change for the better is currently taking place as regards the availability of sustainability-related information on sales products.Consumers will be able to obtain all kinds of information on aspects they care about, even beyond sustainability.This report examines the driving forces behind this development and the technological basis, and how these developments are taking place in different industrial sectors.We also show that this process is embedded in a much broader development, which will result in the progressive digitalisation of contractual obligations and compliance with regulatory and societal requirements.
Pengembangan Media Pembelajaran Scrapbook Berbasis Budaya Palembang Pada Topik Bangun Datar

This study is to develop a learning media whole package that includes material to two-dimensional figures with Palembang-based culture. This research uses research and development (R&D). The subjects in this study were students of class II, III, IV SD Negeri 3 Margo Bhakti. Analysis of the data used is qualitative descriptive with a percentage. Development of instructional media scrapbook Palembang culture based on topics two-dimensional figure with phase ADDIE. The results showed that the assessment included 1) validation of material experts got 71.61% with valid criteria, 2) validation of linguists got 87.5% with very valid criteria, 3) validation of media experts got 88.57% with very valid criteria. Assessing students' responses 1) small group trials get an average of 11.16 with high criteria, 2) large group trials get an average of 11.06 with high criteria. Based on the above assessment, the learning media scrapbook Palembang culture-based on the topic of the two-dimensional figure is valid or appropriate to use as a medium of learning mathematics on the topic of a two-dimensional figures.
Parallel Strategies for the Execution of Top-k Queries with MaxScore on GPUs

MaxScore and its variations are efficient DAAT query evaluation methods which use dynamic pruning based on the potential relevance of documents, to provide fast and precise results. These are essential characteristics for large scale search engines. In an attempt to circumvent the inherent sequential nature of DAAT strategies, we applied two parallel strategies to implement new variations of MaxScore to execute on GPUs. The first strategy splits the posting lists based on their size to share the work among thread blocks and SMs of a GPU, while the second strategy partitions the posting lists based on the range of document IDs (docIDs). In order to improve the pruning efficiency of the parallel algorithms, we also evaluated three different strategies for sharing the threshold among the processing elements. Experiments were carried out under different sizes of the postings list, and results demonstrate the viability of both strategies and their GPU-based implementations. The sizebased partitioning showed higher speedups (18×) but lower recall for retrieved documents, while the docID-based partitioning can retrieve the exact top-k documents with slightly lower speedups (16×). Threshold sharing demonstrated significant performance gains for long postings lists. As novelty and contribution, to the best of our knowledge, this is the first parallelization of MaxScore for GPUs. Results show that our strategies are suitable for the parallelization of a class of DAAT strategies on GPUs.
Research on Scientific Research Performance Evaluation in Colleges and Universities Based on Malmquist Index

Introduction of Kunqu :Kunqu，literally means kun melody, is one of the most ancient forms of Chinese opera. Originally her melody derives from Kunshan zone of Jiangsu province therefore it has been named Kunshan melody before. Now Kunqu also known as Kunju, which means Kunqu opera.
Development Of Distance Learning As A Factor Of Students' Satisfaction By Education

In the modern conditions of the society transition to a new technological mode, the expansion of distance learning and the widespread introduction of online technologies is an established trend. The tendency of the blended learning model prevalence causes a number of contradictory consequences. They are studied in Peter the Great Saint-Petersburg Polytechnic University with monitoring sociological methods, which make it possible to obtain prompt feedback. The aim of the research was to find out the influence of the ambiguous attitude of students and teachers to the ongoing digital shifts in education. As well as to identify the impact of distance learning forms on the level of satisfaction with university education. The study showed the predominance of students and teachers positive attitude to distance learning, which weightedly assess the advantages and disadvantages of a existed blended system. At the same time, despite a considerable share of difficulties and consequences of introducing information innovations, satisfaction with learning maintains its high level. It indicates the adaptability and the developing nature of the educational environment. The authors conclude on the significant role of sociological methods, which make it possible to monitor the process of educational process modernization. This fact directs the process of improving educational models implemented at the university to new solutions. They could create more favorable conditions for the effective interaction of all participants in the educational process.
Solving the problem transform of size images on series base points found on frames in the problem of stitching images

Abstract Stitching several images into a single content is an important task for many areas, including video analytics, machine vision, security, etc. The operation of combining is based on the solution of a number of operations related to the allocation of local features, the selection of transformation matrices of objects, changing the scale and saturation of the image. The process fixing frames is he’s with a number of difficulties, includes the appearance of a noise component in the image, blurring, various non-linear effects of the optical system, as well as problems associated with incorrect operation of data preprocessing software. To select the key points used as alignment points is a complex problem, the solution of which is the subject of many works. However, the transformation of coordinate systems of images with combination frames is a difficult problem, since the system is nonlinear. The article discusses the solution to the problem of changing the position of points in clusters, under conditions of their nonlinearity. The method and algorithm that implements the procedure of nonlinear transformations size over the entire image is presented. Operations include vector analysis, as well as the results of changing the scale of a group of pixels. The set of test data shows the possibility of applying these approaches to change one of the images according to the specified combination points by the operators.
LibGuides: Library Basics: Tutorials for the Online Student: Home

Tutorials to assist the online EIU student in navigating Booth Library resources and services
Sistem informasi nilai akademik mahasiswa menggunakan teknik json dan nfc

Higher education as an institution engaged in the field of science can take advantage of technological developments. One of them is in terms of flexibility and efficiency of students in accessing the data they need related to academic activities in higher education such as student value information. This study aims to make it easy for students to be able to access value information easily. The development model used in this study is a prototype by making an application using NFC and JSON technology as a message format. This research was conducted at STIKOM Binaniaga Bogor with 60 students as samples of application trial subjects. The results of the analysis showed 85.63% of the level of appropriateness of the application, it shows with NFC technology and the application can facilitate students in getting information on student academic values.
High-Efficiency Triangle Counting on the GPU

Triangle counting is an important step in calculating the network clustering confficient and transitivity, and is widely used in important role recognition, spam detection, community discovery, and biological detection. In this paper, we introduced a GPU-based load balancing triangle counting scheme (GBTCS), which contains three techniques. First, we designed an algorithm for preprocessing the graph to obtain the CSR (Compressed Sparse Row Format) representation of the graph, which not only can reduce half of the memory usage of GPU, but also distribute the computational overhead to the core of the GPU. Second, we designed a SIMD (Single Instruction Multiple Data)-based set intersection algorithm that improves the thread parallel performance on the GPU. Third, we designed a load balancing algorithm to dynamically schedule the GPU workload. Performance evaluations demonstrate that our proposed scheme is 5x to 120x faster than the serial CPU algorithm.
MEMBANGUN RENCANA STRATEGIS SISTEM INFORMASI DAN TEKNOLOGI INFORMASI PADA UNIVERSITAS TEKNOLOGI SUMBAWA

The purpose of this research is to develop a beneficial Information Technology Strategy Plan and Information System (IS/IT) as a part of evaluation in elaborating IS/IT within Sumbawa University of Technology in the future. In which, this research applies Ward and Peppard Models as a method of analysis and strategy in developing the plan of IS / IT that is in line with the strategy plan of Sumbawa University of Technology 2016-2019. The framework used in the analysis process in the internal environment is the Critical Success Factor (CSF) framework and the PEST framework (Political, Economic, Social, and Technological) to analyze the external environment. Moreover, the result of this research is expected to be portfolio guidance in advancing SI / IT that is able to be used to determine the leadership policy at Sumbawa University of Technology in ascertaining the maintenance process and the development of SI / IT to support the plan in harmony with the university mission.
Image quality assessment to enhance handwritten signature

The fact that the signature is widely used as a means of personal verification emphasizes the need for an automatic verification system. Verification can be performed either Offline or Online based on the application. Online systems use dynamic information of a signature captured at the time the signature is made. Offline systems work on the scanned signature. We have worked on the Offline Verification of signatures using a set of shape-based geometric features. The features that are used are Baseline Slant Angle, Aspect Ratio, Normalized Area, Center of Gravity, number of edge points, number of cross points, and the Slope of the line joining the Centers of Gravity of two halves of a signature image. Before extracting the features, preprocessing of a scanned image is necessary to isolate the signature part and to remove any spurious noise present. The system is initially trained using a database of signatures obtained from those individuals whose signatures have to be authenticated by the system. For each subject, a mean signature is obtained integrating the above features derived from a set of his/her genuine sample signatures. This mean signature act as the template for verification against a claimed test signature. Euclidian distance in the feature space between the two. If this distance is less than a pre-defined threshold(corresponding to a minimum acceptable degree of similarity), the signature is verified to be that of the claimed subject else detected as a forgery. The details of preprocessing as well as the features depicted above are described in the report along with the implementation details and simulation results.
Quantum computing in practice: fault-tolerant protocols and circuit-mapping techniques

Quantum computing promises to solve some problems that are intractable by classical computers. Several quantum processors based on different technologies and consisting of a few tens of noisy qubits have already been developed. However, qubits are fragile as they tend to decohere extremely quickly and quantum operations are faulty, making reliable computation very difficult. Moreover, quantum processors have hardware constraints such as limited qubit connectivity and shared classical control, making quantum algorithms not directly executable. This thesis focuses on some of the challenges of the implementation of quantum algorithms on near-termintermediate-scale and future large-scale quantum processors. More precisely, it investigates how to perform reliable quantum computation using fault-tolerant protocols and how to execute quantum algorithms on hardware-constrained processors using circuit-mapping techniques.
Technology Entrepreneurship Aspects On The Master’s Degree Level Of Education

Technology entrepreneurship plays a significant role in the emergence of new high-tech businesses and the development of the countrys economy as a whole. Concerning technological development of a country there is a need for entrepreneurship training, which has certain specificity. Universities in this case generate and adopt elements from the traditional courses of entrepreneurship to the course of technology entrepreneurship. The aim of this study is to explore the present landscape of educational market on the course “Technology entrepreneurship” taught on master degree level programs. The authors took the example of Russian and American universities: LomonosovMoscow State University, ITMO University, MIT and Stanford.A comparative analysis of MIT, Stanford university and collaboration of Russian universities was carried out according to the criteria of teaching methods and the set of topics covered in courses. Based on the analysis similarities and peculiarities of the course were discovered. The elements of teaching methodology in common were revealed - project approach, teamwork principle, use of case methodology, panel presentations and group discussions, mentoring and coaching. The distribution on topics taught on courses at different universities according to the methodology of Tony Bailetti’ clusters was investigated. It showed that all the universities work in all the clusters teaching technology entrepreneurship.
The Correlation Between Vocabulary Mastery and Writing Ability of the Eleventh Grade Students of MA Laboratorium UIN SU

The purpose of this research is to find out the correlation between vocabulary mastery and students’ writing ability. This study applies total population sampling technique where the population is all of the eleventh grade students of MA Laboratorium UIN SU and the sample are 30 students. The data are collected by administering vocabulary mastery test and writing ability test. The data are analyzed by using Pearson Product Moment to investigate the correlation between both variables. The result shows that the coefficient between variable X and variable Y is rxy = 0.514. The criteria of correlation between two variables among 0.400—0.600 shows a fair correlation. The significant level at 5% is rtable = 0.361, rxy > rtable (0.514 > 0.361). The significant level at 1 % is rtable = 0.463, rxy > rtable (0.514 > 0.463). The result of the analyses shows that there is a significant correlation between vocabulary mastery and students’ writing ability of Eleventh grade student of MA Laboratorium UIN SU. Therefore, the null hypothesis (H0) is rejected and the alternative hypothesis (Ha) is accepted.
THE EFFECTIVENESS OF ROLE PLAY IN TEACHING SPEAKING AT THE EIGHT GRADE STUDENTS OF MTs NURUL FALAH KOTA CIMAHI

Speaking is a part of language and one of important skills that should be learned by the students. Role Play is offered to overcome the problems in speaking. In fact, The Students face difficulties in speaking such as difficulty to arrange the sentences, fear or making mistakes, and lack of motivation The aim of this research was carried out to find the effectiveness of using Role Play in teaching speaking for second grade of junior high school at MTs Nurul Falah Kota Cimahi whether there is significance different in speaking achievement of the students who are taught without using a role play. The use of Role Play does not increase the students’ speaking skills. Alternative Hypothesis says that the use of Role Play increases the students’ Speaking skill. This research use Quantitative Method by SPSS for collecting the data The subject of the study were 33 students and the sample of population collected from second grade in junior high school. From the result of the analysis the students’ score of speaking is improve. It’s as a result of role play helps the back students by providing a chance, wherever students with problem in oral communication ar ligated Keywords :  Speaking, Role Play, Motivation