Reviewerly/exHarmony huggingface dataset:
Clustering with Similarity Preserving

Graph-based clustering has shown promising performance in many tasks. A key step of graph-based approach is the similarity graph construction. In general, learning graph in kernel space can enhance clustering accuracy due to the incorporation of nonlinearity. However, most existing kernel-based graph learning mechanisms is not similarity-preserving, hence leads to sub-optimal performance. To overcome this drawback, we propose a more discriminative graph learning method which can preserve the pairwise similarities between samples in an adaptive manner for the first time. Specifically, we require the learned graph be close to a kernel matrix, which serves as a measure of similarity in raw data. Moreover, the structure is adaptively tuned so that the number of connected components of the graph is exactly equal to the number of clusters. Finally, our method unifies clustering and graph learning which can directly obtain cluster indicators from the graph itself without performing further clustering step. The effectiveness of this approach is examined on both single and multiple kernel learning scenarios in several datasets.
Applied Research of Mobile Technology to Hybrid English Teaching Pattern for Higher Vocational Education

In the 21st century, mobile technology and information technology change with each passing day, Wlan, 3G and 4G network coverage is becoming more and more extensive. With the development of teaching mode from unity to diversity, the application of mobile technology in English teaching in vocational colleges has become a new research field. Based on the theoretical studies of mobile learning and blended learning by domestic and foreign experts and scholars, this paper probes into the problems existing in the current public English teaching in vocational colleges, and constructs a hybrid English teaching model by combining mobile technology.
REVIEW: Human Communication on the Internet

As early adopters of the Internet, Shedletsky and Aitken (2004) suggest us to think about the qualitative aspect of communication on the Internet: how do the Internet and individuals influence each other in the process of communication? The focus is drawn on emerging characteristics of human communication via the Internet. The authors begin their exploration by asking to think of the computer as a pen and a paper – a way to express ourselves such as children’s playing. So, the Internet is described as a communication companion rather than as a mere technological tool; the communication process via the Internet is compared as same as two people are talking face to face. Under this perspective, authors explore the phenomenon of online communication through investigating different areas of our lives such as group discussion, gaming, education, and work places where various online communication patterns can be observed. Fairly, authors’ critical position allows to reveal paradoxical tensions between idealism and reality: on the one hand, communication via the Internet is a unique way to inspire human beings’ mental universe, on the other hand, such a new way of communication brings inherently side effects. The attempt to counterbalance is consistently reflected throughout the book demonstrating polarization of people and the playful metaphor. In other words, exploration in virtual space through self-generating flow that Internet offers can lead people to flourish or perish.
Effect of Physical Education on Employment Ability of University Students Based on Multiple Linear Regression Analysis

In recent years, with the continuous expansion of university enrollment, more and more young people can enter the university campus for education, but at the same time, a large number of graduates are facing employment difficulties every year. As an important part of basic education in university, physical education plays a very positive role in improving the employment ability of university students by improving their comprehensive quality in an all-round way. In this paper, by studying the literature on physical education and employment ability, we put forward relevant hypotheses and established a multiple linear regression model of university studentsâ€™ physical education and employment ability. We collected the actual data by sending out questionnaires and tested the hypothesis by using multiple linear regression equation. The research shows that there is a close relationship between university physical education, the quality of university students and their employment ability. The implementation of physical education can improve the quality of university students, and then has an important impact on enhancing their employment ability.
Migrating Databases to Exadata Cloud Service Using DIPC

In previous chapters, you saw how to provision databases on Oracle Cloud Infrastructure. In this chapter, we will discuss on how you can move, or migrate, to a database service on DBCS or ExaCS. We will refer to your target database on the cloud as the DBCS instance because the process for data replication remains the same. This chapter contains a high-level representation of how you can migrate your data to DBCS. Replication works between the on-premise and DBCS databases using the Data Integration Platform Cloud Service (DIPC).
LibGuides: Library Classes: Descriptions

MCW Libraries routinely provides classes for students, staff, residents, faculty and patients. Find a list of classes that we offer. MCW Libraries routinely provides classes for students, staff, residents, faculty and patients. Here is a list of our class offerings.
Entanglement Protection of Two‐Qubit System in Non‐Markovian Reservoir via Weak Measurement and Weak Measurement Reversal

The protection schemes of the entanglement in the system of two entangled atoms from nonMarkovian reservoirs via previous Weak measurement (pre-WM) and posterior Weak measurement reversal (post-WMR) are investigated. We firstly compare the effects of combination applying of pre-WM and post-WMR (scheme 1) and twice Weak measurements (WMs) (scheme 2) in the condition of different initial entangled states. The analysis indicates that the protection performance of scheme 1 is much better than that of scheme 2. The scheme 1 was utilized when the system of two entangled atoms suffers from the independent reservoirs. The numerical results show that the combination of pre-WM and post-WMR can effectively enhance entanglement and shorten the time of Entanglement sudden death (ESD) in non-Makovain environment. We have found the optimum of WM strengthens is drastically related to the initial entangled state.
The role of worked examples to teach concept mapping

The growing interest in concept mapping has expanded the use of this graphical organizer as a way to represent and share declarative knowledge. However, training beginners to elaborate concept maps (Cmaps) has not received the deserved attention. Students must to think intensely about how to select and organise the content into coherent structures, using an unfamiliar graphic organiser. These concurrent tasks can exceed the students’ working memory capacity (overload situation), impairing meaningful learning. The aim of this paper was to explore the worked example approach to teach students how to construct good Cmaps in real classroom settings. Graduate students were divided into control (n = 32, did not study WE) and experimental groups (n = 34, studied WE). They were asked to perform five transfer tests involving Cmap elaboration. The WE approach helped the students to (1) develop high-quality propositions, (2) apply a conceptual hierarchy to guarantee general-to-specific organisation, and (3) evaluate the propositional network integrity. However, there was no WE effect on learning how to state a proper focus question for the Cmap. The use of WE is valuable to set up reliable training activities about concept mapping, and the presented materials (WE) can be applied in any educational setting with some adaptations. Future studies should combine the use of WE with other instructional approaches to teach how to state a proper focus question
Algorithmization in a Computer Graphics Environment

Today’s digital age makes it possible for people to communicate via video or images. Therefore, computer graphics is part of the elementary school curriculum. The paper is aimed at updating computer science education at Czech elementary schools; it shows how pupils could develop their computational thinking when creating vector graphics based on basic geometric shapes such as a circle, ellipse, square, rectangle and others. The following methods were chosen to present the proposed processes: verbal expression for an algorithm, visual projection and a flowchart.
Building a Knowledge Base for QA System by Linking Korean Vocabulary and Wikipedia

For a QA system it's very important to have a notion of vocabulary used in questions and for building correct answers. Especially, when a word represents a concept, one can use related lexical instances to understand it and further extend the knowledge by using the associated information. In this work, we suggest a process of building a knowledge base for such concepts as people, organizations, and places, and linking their instances to Wikipedia articles. We also develop a workbench for KB building. This workbench should efficiently support all features needed to collect necessary data and build the knowledge base. We have created 150,941 links to Korean Wikipedia for 2,394 instances of Korean vocabulary. This KB can be used in QA systems to extend questions, while the workbench can be used to build the KB itself.
PENILAIAN PENGAMANAN TEKNOLOGI PADA SISTEM PEMBELAJARAN ELEKTRONIK MENGGUNAKAN INDEKS KEAMANAN INFORMASI DI POLITEKNIK NEGERI BATAM

As an electronic learning system organizer State Polytechnic of Batam (Polibatam) must arrange secured electronic learning system. Ministry of Communication and Information of Indonesia expects the organizations which arrange electronic system can perform SNI ISO 27001 certification related to information security. Information security condition on organizations which will perform on certifiation is expected on maturity level at III+ (Directorate of Information Security Team, 2011). On the other hand, there is a gap between expected conditon and actual condition. Information security index (KAMI) is a tool to assess the implementation of information security that has been done. This research is assessed related to technology component because of high dependency of organization on technology. The purpose of research is to identify how far the security of technology at State Polytechnic of Batam by using information security index. Based on research, electronic learning system that is organized by State Polytechnic of Batam is low categorized. The total percentage is 65 or 54,17% out of maximum percentage. Therefore, the maturity level of technology security is on maturity level II which means the maturity level of technology security is under the expected maturity level for minimum readiness certification on III+. It is caused the position of State Polyetechnic of Batam is on a organizational development stage. Moreover, the focus of organization is related on operational, not strategic.
Guides: Creative Commons Metadata Implementation (Adobe XMP): Home

The following procedure is used to embed Creative Commons Metadata into a PDF document utilizing Adobe XMP.
OC-0516 Whole-frame 2D cineMR prediction using deep neural networks

ESTRO 38 contours and -0.07±0.22%inside the high dose region (dose >90%).Dental artefacts obscuring the CT, could be circumvented in the sCT by the CNN-based approach in combination with TSE MRI sequence that typically is less prone to susceptibility artefacts (fig.2).
Methods for addressing multiple reflections in a structured light profiler

Structured light, using either laser lines or projected patterns, have gained wide use in the profiling parts from extruded parts of complex assemblies. A line of light is projected from one angle and viewed from another angle to provide a view of the profile of the surface using the principles of triangulation. There can be many sources of noise in these systems such as speckle or surface texture which have been addressed by numerous methods. One of the more difficult challenges often encountered with structured light systems is the presence of reflection of the line of light that are not as expected or wanted. These outlier reflections may be due to multiple reflections from one surface to another or in the case of transparent surfaces, from other surfaces behind the surface being contoured. This paper will discuss these challenges and the commonly used assumptions that may not be sufficient to sort out the right light profile, then present several new methods that allow the separation of the desired profile data from the noise.
A Study on the Development of Curriculum for 'Literary Museum Management Methodology'

본 연구는 ‘문학관 학예사’ 양성에 필요한 교과목인 ‘문학관 운영 방법론’을 제안하고 구체적인 수업 내용을 제시하는 데에 목적을 두었다. 이를 위해 문학관의 특성에 대해 살펴보면서 박물관과는 구별되는 점에 대해 논의하였다. 이는 문학관에는 ‘박물관 미술관 진흥법’에 의거한 ‘학예사’가 아닌 ‘문학진흥법’에 따른 ‘문학관학예사’를 두어야 하는 당위성을 설명하기 위한 것이었다. 이에 따라 문학관을 운영하는 데 있어 ‘문화 콘텐츠 개발 능력’, ‘스토리텔링 구사 능력’, ‘자료 보존 및 활용 능력’, ‘행정 능력’ 등을 갖춘 문학 전공 학예사가 필요하다는 것에 대해 언급하였으며, 이러한 능력을 갖춘 문학관 학예사를 양성하기 위한 ‘문학관 운영 방법론’ 교과목을 설계하였다. 문학관을 활용한 과목 개발은 실천적이고 응용적인 분야를 포함하면서 동시에 ‘문학관 학예사’라는 전문인력을 양성할 수 있다는 점에서 의미가 있다. ‘문학관 학예사’를 문학관에 배치하기 위해서는 관련된 법령을 정비해야 하므로 가장 우선적으로 ‘문학관 학예사’의 필요성을 널리 알려야 한다. 그리고 관련 법령제정을 위한 공청회를 개최하여야 한다. 이러한 일들은 모두 국어국문학계에서 우선적으로 실천해야만 한다. 이 작은 논문이 관련된 부서에서 법령을 보완 정비하는 마중물이 되기를 바란다.This study proposes ‘Literary Museum Management Methodology’, which is necessary curriculum for cultivating the ‘Literary Museum Curator’ and presenting comprehensive lecture contents. For this purpose, characteristics of a literary museum are reviewed and its difference from a general museum examined. This is to explain the necessity of putting the Literary Museum Curator in a literary museum in accordance with the ‘Literature Promotion Act’, rather than putting a ‘Curator’ based on the Museum Art Promotion Act. Consequently, for the management of a literary museum, the necessity of a professional Literary Museum Curator, who majors in Korean literature and has ‘Cultural Contents Development Ability’, ‘Storytelling Ability’, ‘Data Preservation and Use Ability’, and ‘Administrative Ability’, is mentioned. Furthermore, the curriculum for Literary Museum Management Methodology is designed such that it will help the Literary Museum Curator learn these abilities. It is meaningful that the development of the curriculum, based on knowledge about a literary museum, includes practical and applied fields and, at the same time, can develop professional manpower, the Literary Museum Curator. In order to place the Literary Museum Curator in a literary museum, the relevant laws and ordinances must be modified. Therefore, above all, the need for a Literary Museum Curator should be publicized. Public hearings for the enactment of relevant laws and regulations should also be held. All of these things must be put into practice first in the academia of Korean language and literature. I hope that this paper can be the priming water that complements the legislations in the relevant government branches.
Research on Fault Intelligent Reasoning and Diagnosis of Air-to-Air Missile Weapon System of a Certain Armed Helicopter

The structure of armed helicopter air-to-air missile weapon system is becoming more and more complex, the function module is highly integrated, and it is difficult to carry out maintenance and diagnosis only based on the experience of the crew. In order to improve the efficiency of fault diagnosis, the fault diagnosis model of air-to-air missile weapon system is established by combining fault tree analysis with expert experience, and a fast fault diagnosis and auxiliary decision system is designed. It can effectively reduce the troubleshooting time, improve the efficiency and accuracy of fault handling, and provide a scientific decision basis for the implementation of battlefield emergency repair, which has important practical application value.
Session details: Theme: AI and agents: CIVIA - Computational intelligence and video &amp; image analysis track

The special track on the Computational Intelligence and Video & Image Analysis (CIVIA) is a forum for engineers, researchers and practitioners throughout the world to share technical ideas and experiences related to the implementation and applications of Computational Intelligence, to Video & Image Analysis, and even to Systems Biology & BioMedicine. Many conferences have been dedicated to Evolutionary Computing (ICEC, GECCO, PPSN, etc), Video & Image Analysis (ICIAR, ICIAP, ICASSP, IJCAI, etc) and Systems Biology & BioMedical Engineering (ICSB, RECOMB, BME, etc), but they don't offer much on the blending of Computational Logic, Boolean Satisfiability and Soft Computing tools to address practical applications of Image Analysis and Bio Systems Modeling and Simulations. Thus, the research papers involved with applying computational intelligence techniques to video and image analyses would be welcome no matter how theoretical they are, should they have practical applications.
Denoising of Rain Streak Hd Videos Using Hevc in Convolution Neural Network

In the rainy season most of the images are cannot able to see clearly, sometimes it may also lead to do crime.So inorder to avoid that problem this project is done to see the images clearly in the rain also.The aim of this project is to remove the rain streaks from the HD videos using the algorithm of convolution neural network (CNN).It is done using MATLAB.First the videos are converted into frames and the frames are converted into the images.Convolution neural network is used to remove the unwanted noises.Thus the same the unwanted rain streaks are removed.The input is given as the rain streak images, using the convolution neural network algorithm the rain streaks are removed and the output comes without the rain streak images.Such a new technique makes the proposed method capable of properly extracting rain streaks from videos, thus getting fine video with deraining effects.And the particular part can also be shown clearly while the car is in the rain.For example car number plate can be taken, if the car is travelling in the rain , the number plate cannot be detected in the normal camera , using the CNN algorithm the number plate of the car can be detected in the clear manner.
LibGuides: Beaver Basics: Microsoft PowerPoint

Jump start your academic success with mini workshops and consultations for doc, presentation, and spreadsheet tips Additional resources and information on using PowerPoint efficiently. Get help, view drop in hours and workshop schedules.
U-Net Based Multi-instance Video Object Segmentation

Multi-instance video object segmentation is to segment specific instances throughout a video sequence in pixel level, given only an annotated first frame. In this paper, we implement an effective fully convolutional networks with U-Net similar structure built on top of OSVOS fine-tuned layer. We use instance isolation to transform this multi-instance segmentation problem into binary labeling problem, and use weighted cross entropy loss and dice coefficient loss as our loss function. Our best model achieves F mean of 0.467 and J mean of 0.424 on DAVIS dataset, which is a comparable performance with the State-of-the-Art approach. But case analysis shows this model can achieve a smoother contour and better instance coverage, meaning it better for recall focused segmentation scenario. We also did experiments on other convolutional neural networks, including Seg-Net, Mask R-CNN, and provide insightful comparison and discussion.
PEDAGOGICAL ACTIVITY AS CREATIVITY

Creativity of pedagogical activity is diverse. It manifests itself in non-standard approaches to solving problems, in developing new methods, forms, techniques and their original combinations; in the effective use of existing experience in the new environment; in the ability to see options for solving the same problem, the formulation of various operational goals; in the ability to transform methodological recommendations, theoretical positions into concrete pedagogical actions. All manifestations of pedagogical creativity largely depend on how creative is the teacher’s social reflection aimed at the student ‒ the main subject of pedagogical activity. Realization of the creative nature of pedagogical activity depends on the personality of the teacher, his personal qualities. The individual peculiarity of the teacher, his uniqueness determines the stylistic peculiarities of the activity, which are connected with concrete steps of its realization.In our study, the criteria for determining the indicators of creativity of teachers were: «discovery» by the teacher of internal perception of the personality traits of the student, as well as penetrating into dynamics and contradiction of its integral structure; the degree of frequency and heterogeneity of actions by which such «discovery» is achieved; indicators of the content and strength of the motives of the teacher’s training of students, etc.It should be added that in the process of pedagogical self-education, the teacher must feel freedom of expression. Teaching activities can not be regulated, squeezed into a solid framework of instructions. The approval of the professional freedom of the teacher (which provides for the choice of content, tasks, methods, forms of education and training, the right to pedagogically grounded initiatives, raising the material level, etc.) is a possible organization of the process of self-education of the teacher.
Evaluating Variable-Length Multiple-Option Lists in Chatbots and Mobile Search

In recent years, the proliferation of smart mobile devices has lead to the gradual integration of search functionality within mobile platforms. This has created an incentive to move away from the "ten blue links" metaphor, as mobile users are less likely to click on them, expecting to get the answer directly from the snippets. In turn, this has revived the interest in Question Answering. Then, along came chatbots, conversational systems, and messaging platforms, where the user needs could be better served with the system asking follow-up questions in order to better understand the user's intent. While typically a user would expect a single response at any utterance, a system could also return multiple options for the user to select from, based on different system understandings of the user's intent. However, this possibility should not be overused, as this practice could confuse and/or annoy the user. How to produce good variable-length lists, given the conflicting objectives of staying short while maximizing the likelihood of having a correct answer included in the list, is an underexplored problem. It is also unclear how to evaluate a system that tries to do that. Here we aim to bridge this gap. In particular, we define some necessary and some optional properties that an evaluation measure fit for this purpose should have. We further show that existing evaluation measures from the IR tradition are not entirely suitable for this setup, and we propose novel evaluation measures that address it satisfactorily.