Reviewerly/exHarmony huggingface dataset:
A Model for Securing Institutional Data Using Blockchain Technology

Educational institutions store their valuable data in registers where it can be exposed for tampering. We can store those transactions such as attendance, marks and certificates and secure them using a blockchain and can be viewed by anyone in the institution. Traditional methods of record keeping like storing marks in a register or a physical ledger are not secured. An instructor or a student may allegedly change the data for their own selfish needs which are unethical in educational field. Blockchain has a decentralized architecture which stores and secures transactions transparently, and there will be no central authority over those occurring transactions. Therefore, a novel model is proposed in smart contracts which secures and stores each transaction in a blockchain with hashing algorithm making them tamperproof.
James P. Adams Library: Open/Open-Enabled Pedagogy: Tools

Subjects: Open Access, Open Educational Resources & Open Textbooks Tags: oer, oer-enabled pedagogy, open, open collaboration, open educational resources, open pedagogy, open p
Research on the Effects of Calibrated Position on Digital Image Correlation Measurement of Dual Camera in Engineering Application

To explore the influence of calibration position on digital image correlation measurement of dual cameras in engineering application, an experimental method of displacement stepping for digital image correlation measurement of dual cameras under different calibration locations is designed. Through precise displacement stepping of samples, the results of digital image correlation measurement and dial gauge measurement are compared. The influence of different calibration locations on the measurement results of digital image correlation method with dual cameras is analyzed. The results show that when the calibration position and collection conditions are unified, there will be no large displacement measurement error, and the discreteness of repeated measurement results is relatively small. The calibration position has more influence on the measurement of ordinary glass in the measuring optical path than that of quartz glass. The relative error caused by calibration position is relatively large for small displacement measurement and relatively small for large displacement measurement
ANTOLOGI CERPEN INDONESIA-MALAYSIA SEBAGAI MATERI PEMBELAJARAN SASTRA DI SMA: KAJIAN SOSIOLOGI SASTRA DAN NILAI BUDI PEKERTI

This research is descriptive qualitative research with approach of sociology of literature. Data collection techniques used in this study are document analysis techniques and interviews. Data validity uses data triangulation and source triangulation. Data analysis using interactive analysis method with the stages of data collection, data reduction, data presentation, and conclusion. The results of this study indicate that (1) the author's most dominant social setting influences the creation of literary works, namely the educational background and the profession of the author. (2) The description of the community reflected in the ACIM includes: stunting in life, issues of tolerance, doubts about defending the homeland, the dissolution of national language, cultural issues, and the phenomenon of early marriage. (3) the response of ACIM readers states that this anthology is interesting in terms of the language, theme and background of the formation of two state anthologies. (4) the values of character contained in ACIM include; religious, responsibility, hard work, respect, polite, ecological, nationalist, and action oriented. (5) ACIM can be used as a literary teaching material in high schools in accordance with the basic competencies (KD) of short stories, this anthology can also be used as literary learning material in terms of aspects of language, psychology, and cultural background.
Vehicle Detection in Distorted Driving Video Based on Metric Learning and Single Shot MultiBox Detector

With the gradually development of deep learning, the object detection algorithm has achieved remarkable applications, especially in the aspect of the automatic driving. Most of the object detection algorithms are used for pictures or videos obtained by a general camera. In practice, fisheye cameras are widely used, which will produce distorted image frames. The research of vehicle detection based on fisheye camera is relatively rare until now. If one network is trained on the existed public dataset, and tested on the distorted images or videos, the accuracy will decrease a lot. Thus, a distorted vehicle dataset needs to be manually labeled in the first. However, if we only use the distorted vehicle dataset to train the model, the mount of the distorted vehicle dataset is small, meanwhile the public datasets will not be fully used. On the other hand, the missing detection and false detection for the distorted images by using SSD algorithm is a considerable problem. Based on those considerations, firstly, transfer learning is adopted to transfer the parameters learned from the public vehicle dataset to the distorted vehicle dataset in this paper. Secondly, an algorithm named MLSSD for the distorted vehicle detection based on the labeled dataset is proposed to achieve a better performance for the vehicle detection, which mainly combines metric learning and SSD algorithm to enormously alleviate the missing detection and false detection. In addition, the scalable overlapping partition pooling (SOPP) method is proposed instead of the spatial pyramid pooling to achieve more robust feature map pooling. Experimental results show that the proposed MLSSD algorithm significantly outperforms other algorithms and achieves 88.3 % mAP on the distorted vehicle dataset, 3.1% more than the result obtained by the SSD network.
Non-Local Spatiaotemporal Two-Stream Network for Video Action Recognition

Current video action recognition methods mainly used repeated convolution and recurrent operation to obtain the spatial and temporal information. But these operations only process local neighborhood in space and time and are not sensitive to global information, which may lead to wrong prediction for some large-space and long-time span actions. So in this paper, we proposed a non-local 2D spatiotemporal two-stream network, and incorporate the non-local module to I3D spatiotemporal two-stream network. This module calculates the embedded Gaussian response at a position as a weighted sum of the features at all positions in the input feature maps. The obtained non-local information enhances the global feature in both space and time effectively. In the proposed network, we first use several low-level layers to obtain low-level feature maps, then passes the non-local module to obtain non-local information. Finally, using the subsequent layers to get prediction result. The performances of the proposed 2D model and the improved I3D model were evaluated on UCF-101 dataset and HMDB-51 dataset, and achieve 95.27% and 69.61% recognition accuracy respectively.
การศึกษาเจตคติและพฤติกรรมการใช้สื่อเทคโนโลยีสารสนเทศทางการศึกษา เพื่อการเรียนรู้ด้วยตนเองของนักศึกษาคณะศึกษาศาสตร์ สถาบันการพลศึกษา วิทยาเขตอ่างทอง

This study is a study of Attitude and Behavior in Using Educational Information Technology for Self-Learning in Student from Faculty of Education at Institute of Physical Education Angthong. The purposes of the descriptive research were to study the attitude and behavior in using educational information technology for self – learning of undergraduate students from Faculty of Education at Institute of Physical Education Angthong and to compare the attitude and behavior in using educational information technology for self – learning of undergraduate students from Faculty of Education at Institute of Physical Education Angthong among students with different gender and class. The sample were 165 undergraduate students from Faculty of Education at Institute of Physical Education Angthong. Data collection was by questionnaire. Descriptive statistics, t-test and One-way Analysis of Variance were used in data analysis. The results of indicated that attitude and behavior in using educational information technology for self – learning of undergraduate students from Faculty of Education at Institute of Physical Education Angthong were at a high level (=3.62 S.D. 0.09) No significant differences in their attitude in using educational information technology for self – learning of undergraduate students from Faculty of Education at Institute of Physical Education Angthong  were found in the categories of gender and department. However, significant difference at .05 levels was found among students whose difference in class. The students with fourth year were at a high level (=3.75)
Data Management Plan. Deliverable D6.4

In this deliverable the approach to the data generated by the project is described. A distinction is made on deliverables and publications of the project and the other data generated by the project. For the deliverables and publications the data management strategy is straightforward open access publishing. In particular for the data generated by the project, other than project deliverables, a description is given how the data is published such that it can be found and accessed, and how the data is made interoperable and available for re-use (FAIR principle). Also for these data the uCARe project aims at maximum openness and re-use, within the constraints of the ethics guidelines. It is noted that this document describes the initial data management plan (DMP) and that, in particular when pilots within the uCARe are being defined, the DMP might require updates for the pilot specific data.
Parallelization Of Object-oriented Machine Vision Algorithms For Embedded GPUs

Decision logic based on machine vision is among the prevalent building blocks of today's smart devices, vehicles and things. A vast community in both industry and academia works to design and improve machine vision algorithms. Design phases often disregard end device architecture and specifics, relying on pseudo-code, scripting or object oriented approaches. Object-oriented code increases the complexity of porting and optimization for end multi-processor systems. Parallelization becomes required to reach real-time performance, with GPUs being among the most frequently utilized accelerators. In this paper, we propose methods and steps to efficiently parallelize machine vision code designed in object-oriented paradigm. We address challenges such as call stack usage optimization, code compacting, object dereferencing and partitioning for efficient execution on GPU kernels. Finally, we evaluate the proposed method by porting and optimizing an automotive camera-based vehicle detection algorithm.
Summarizing Articles into Sentences by Hierarchical Attention Model and RNN Language Model

Tremendous amount of articles appear in various language everyday in nowadays big data era. To highlight articles automatically, an artificial neural network method is proposed in this paper. The proposed system is a kind of hierarchical attention model, which is composed by word attention model and sentence attention model with Long-Short Term Memory (LSTM) blocks, and Recurrent Neural Network Languages Model (RNNLM). Different from the conventional summarization methods using attention models which summarize single or multiple sentences to one short sentence, the proposed method is able to deal with multiple articles as input and output multiple short sentences.
The Effect of Learning by Using The Learning Media in Islamic Religious Education in Muhammadiyah High School 9 Sedayulawas Brondong Lamongan

The purpose of this study was to discuss how the influence of media use on the learning of Islamic Education in Muhammadiyah High School 9 Sedayulawas Brondong Lamongan, how to constrain the use of media, and how to overcome these obstacles. This type of research uses research with a qualitative approach, while this study uses data collection techniques with Observation, Interview and Documentation. While processing and analyzing data using data obtained from observations, interviews, written footage from documentaries, field notes, is not stated in statistical numbers. The research findings in this study can be concluded: First: Based on the results of research that has been done shows that using the learning media LKS and LCD Projectors can increase student motivation in learning Islamic Religious Education at Muhammadiyah High School 9 Sedayulawas Brondong Lamongan. Second: The constraints that researchers found when using the media LKS and LCD Projectors in learning Islamic Education in Muhammadiyah High School 9 Sedayulawas Brondong Lamongan as follows: Lack of students ready to follow the lessons at the first meeting using the media LKS, There are still students who forget to bring LKS. Third: The efforts made as follows: Motivating students to always be enthusiastic in following the teaching and learning process, Suggesting students to always bring His Worksheet and do not forget. Keywords: Media, Learning, PAI
Analysis of No-Reference Metrics for Image and Video Quality of Consumer Applications

This paper analyzes the performance of eight no-reference (NR) metrics. Seven assess image quality (BRISQUE, CurveletQA, IL-NIQE, NIQE, OG-IQA, QAC and SSEQ) and one assesses video quality (VIIDEO). The challenge we address in this paper is moving from research silos to a broadly applicable metric. Our analyses use six new subjective datasets that characterize modern cameras and high performing networks. Five datasets were designed around consumer applications and no-reference metric development. The sixth dataset was designed for full-reference metric analyses; we present a technique to modify older datasets for NR metric development. Our analyses show a need for more research and development. The NR metrics were inaccurate for consumer applications.
Dynamical Experiments with Verbal, Generic, and Material Form in Literary Fiction

What do we mean when we talk about the form and the configuration of literature, when we ask questions about the relationship between content and form or when we talk about the change and the dynamics of forms in fiction? Prior to the presentation of our central argument and its analysis in recourse to different novels, namely Laurence Sterne’s The Life & Opinions of Tristram Shandy, Gentleman (1759), Anthony Burgess’s A Clockwork Orange (1962), Vladimir Nabokov’s Pale Fire (1962), as well as J. J. Abrams and Doug Dorst’s S. (2013), it is vital to answer these questions through defining the term ‘form’ in the context of literary fiction. Only within the framework of such a definition is it possible to explain and explore what formal experiments are. This observation generates the central concern of the following sections.
E-Learning Based On Student’s Psychological Characteristics

Great importance is attached to e-learning and distance learning technologies as a powerful factor influencing the quality of university activities. The development of e-learning in the University of Kazan extends interaction within the university. While designing the system of e-learning at the Institute of Psychology and Education at KFU, the strategy of using computers in education was developed, which would consider all the benefits of information technologies and remove the identified deficiencies. Under conditions of technologization in education it was necessary to revise the ideas concerning the cognitive and personal development of the students in the process of university learning. Educators were expected to make a concept of the development of personality, mental processes, activity during the period of technologization in education. An empirical study was conducted at KFU when e-learning was being implemented into the traditional curriculum of higher school. The aim of the study was to research psychological characteristics of students (cognitive processes, mental states, personality traits) while using educational electronic resources. The study was conducted for one academic year. The study sample consisted of two groups of participants: a control group of students - 100 participants studying with standard educational electronic resources, which do not take individual psychological characteristics into account; a treatment group of students - 100 participants using multilevel educational electronic resources. The quality of cognitive processes and self-regulation activities changed during the study with multi-level electronic educational resources.
The implicature of sarcastic memes in 9GAG

This study explores the implicature of sarcastic memes in 9gags. It is conducted using a descriptive qualitative method that belongs to the interpretivism paradigm which believes that reality is not always what is seen, but rather what is appear behind it. It seeks to give a deep understanding of the phenomena of internet sarcasm used in sarcastic memes. Based on the finding, the researchers found that not only the maker of the memes performed implicature but also the poster of the sarcastic memes themselves. Both the poster and the maker mostly used the flouting of relevance maxim in the sarcastic memes. While the kind of flouting rarely happened in the data was the flouting of quantity and manner. In the case of sarcasm, both the poster and the maker used all sub-types of sarcasm proposed by Camp (2012). The most common type of sarcastic memes was the lexical sarcasm. In contrast, the type of sarcasm rarely found was the ‘like-prefixed' sarcasm.
Live at the Library events

Sandwell Libraries & Archives are thrilled to announce a line-up of Live at the Library events.
Multi-layer Filtering Webpage Classification Method Based on SVM

This paper presents a classification method based on web structure strategy and support vector machine, which can be applied to the classification of a large number of web pages. The algorithm designs the initial filter layer to recall the web pages quickly according to the structure of the web pages, and then trains the SVM classifier to do two classifications to improve the accuracy. Experiments show that the classification algorithm is feasible.
Library: Finding and reusing research datasets: Engineering Sciences

Guide on finding secondary data for reserach and identifying suitable data archives for research dataset deposits.
Las TIC: apropiación, relaciones y prácticas en el ecosistema educativo contemporáneo

The appropriation of ICT in the classroom increases to the extent that technological advances provide new ways for its use; they constitute tools that allow the implementation of new teaching didactics and forms of communication between teacher-students. The reflection on how information and communication technologies are conceived and implemented in a specific educational context, offers a set of both theoretical and practical tools that allow an approach to the way in which the incursion is currently being assumed. the technologies in the classroom and virtual teaching. The research described here used a mixed methodological, quantitative-survey- and qualitative-class recording and interview- framework, which made it possible to demonstrate the educational praxis in the pedagogical process impacted by the digital ecosystem. The investigative object was focused on determining how the educational act is transformed, the relationships of the academic actors and the formative strategies for the strengthening of skills and the acquisition of knowledge. Study corpus conformed by 232 students, 47 teachers, who answered the instrument of quantitative exploration, and gave rise to 7 videos, 18 hours of recording, and 11 interviews that were analyzed through the MaxQda tool. From the practiced analysis the logics of the relations, the practices and the design of virtual environments for the process of formation in the classroom are delineated. Contribution to the reflection that is given from the institutional, educational modalities and new media that involve an interaction to an interrelation of subjects beyond the instrumental. The educational society rethinks its roles and tends to actions that modify and in turn certify the effectiveness and validity of an integral professional in the current media world.
Diverse Education Based on Specific Conditions in Rural Areas of China

Connecting the spiritual outlook of the future society, education is the cornerstone of the rejuvenation of a nation. By the year 2018, nearly 600 million people lived in rural areas of China. For being such a large group, their basic necessities of life, and each and every move are closely related to the country’s destiny. So when these two parts get associated, the problem become larger and more difficult. Nowadays we should view the rural education with new eyes. Affected by the deepening of the market economy, the expansion of higher education and the tough job market, rural residents’ views on education are changing and can gradually be divided into two categories: the one is that education is the steering wheel which can lead to the change of fate; the other one is that the education is no longer the only way out. The cost of continuing a child’s education must be seen first. This article holds that in the process of revitalizing rural education, we should take measures according to local conditions basing on rural characteristics, and attach importance to the development of a multi-level and diverse education so that students can see more possibilities besides study and work, which will not only benefit the development of individuals, but also contribute to the progress of the whole society.
Publishing Information for Entities Identified by Domain Names

This memo describes a mechanism to publish information related to anentity identified through a domain name via the Domain Name System(DNS). In particular, this mechanism allows publishing the location oftopical documents describing the entity and relationships with otherentities. An example application is the publishing of additionalrequirements for PKI certification authorities.
Library: Finding and reusing research datasets: Biology & Biochemistry

Guide on finding secondary data for reserach and identifying suitable data archives for research dataset deposits.
Research on Face Recognition Method Based on Deep Learning

In this paper, we mainly refers to the network structure of Alexnet, the traditional convolution layer is modified to Multi-layer Perceptron (MLP) convolution layer to enhance the face image feature extraction, adding Max-Feature-Map (MFP) excitation function segmentation of noise signal and the information signal to improve the recognition accuracy. The Center Loss loss function is added to reduce the distance between elements in the same class, which can better generalize its features and reduce the misjudgment caused by the distance between classes. The CASIA-Web data set is used for training and testing. Through 10575 tests, the recognition rate of the model is 82.3%. In this work, the face verification data set used is the LFW face database, 6000 pairs of face comparison experiments are calculated, and the average recognition rate is 84.5%, The experimental results show that the network model designed can show good recognition effect for face image prediction classification and face verification.