Reviewerly/exHarmony huggingface dataset:
Determining Object Motion by Digital Image Correlation Method with Camera-Array Composed Cameras of Normal Frame Rate

In this study, a camera-array constructed by four regular CCD cameras which can provide 20 frames per second output is used for taking images and then analyzed by digital image correlation method to determine the motion route of an object. The object for tracking is prepared by spraying to form artificial random dots on the surface. The camera-array is first calibrated by using black-white chess board to align all image centers of cameras within 2 pixels. No special time-synchronization among cameras is implemented for camera-array, images are taken by a triggering signal and then analyzed by digital image correlation method to obtain whole filed displacement filed with respect to reference frame which is taken before object moved. The test object first is first moved horizontally and then vertical away from and back to the original with maximum 20 mm, the motion at different time interval is then calculated by averaging the displacement field evaluated by DIC. The motion-path determined by DIC matches well to the predefined route but with small zig zag noise can be found from the plot. The result reveals the proposed camera-array can improve temporal resolution and provide motion route, however, the reason for zig zag motion departure is given in the end of this paper which is helpful to improve the proposed method.
Fast unscented Kalman filter for projective tracking

This paper presents a novel approach to solve the problem of estimating and tracking a moving target, observed from projective viewpoint. A real-time tracking is achieved by a newly designed filter based on the steady state linear Kalman filter, known as αβ filter. The nonlinearity problem introduced by the projective nature of the observed data is handled using unscented transform, instead of the standard first order approximation. The effectiveness of the proposed filter is demonstrated and compared with that of existing methods by Monte-Carlo simulations.
Dialogue and Mutual Understanding among the Civilizations of the Mediterranean Basin via Technology:Obstacles and Remediees

Dialogue is an important aspect of humain life it is regarded as being the chief gateway through wich a nation can prevent conflicts and stuggles not only at local and national levels,but at international levels too.
Peningkatan Kemampuan Menulis Puisi Sederhana Berdasarkan Gambar dalam Pembelajaran Tematik Bahasa Indonesia melalui Model Pembelajaran Examples-Non Examples pada kelas II SD Negeri 3 Linggasari Semester 2 Tahun Pelajaran 2016/ 2017

The purpose of this classroom action research: to improve the ability to write in Indonesian Language thematic learning for class II students, and to find out whether the ability to write simple poetry based on images through Examples Non Examples learning models (analyzing images) can increase. The implementation of this study involved 2 teachers as collaborators in order to make observations on the implementation of learning for all students and teachers, which was carried out in 2 (two) cycles. Each cycle includes stages: 1) preparation 2) planning, 3). Implementation of actions, 4). Observations, and 5). Reflection. The subjects of the study: 2nd semester students of 2nd grade SDN 3 Linggasari UPK Kembaran. The results showed that through learning models Examples Non Examples or analyzing images can improve the ability to write simple poetry based on images for class II students, in the first Cycle  (P1 (81.1%); P2 (83.8%) with criteria is Good ( B), has not met the target, because the target is complete (85%) and the class average (85.0), Second Cycle  P1 (86.5%), P2 (89.2%) with the criteria is Very good (A), so that it has met the complete target (85%) and average (85.0) .The application of the Examples Non Examples learning method can also improve learning completeness in a classical manner, from P1 (81.1%); P2 (83.8%) on the first cycle rose to P1 (86.5%); P2 (89.2%) in the second cycle. The average student learning outcomes increased, in the first cycle (77.1) of P1 (76.6) and P2 (77 , 5) to be (85.1) from P1 (83.7) and P2 (86.6) in the second cycle.
PEMBELAJARAN MENULIS TEKS PROSEDUR MENGGUNAKAN METODE PICTURE AND PICTURE PADA KELAS XI

This research is motivated by the existence of data from the evaluation results on the writing skills of students in class XI tend to be still low. This is caused by the selection of learning methods used less suitable with the material being taught, so students experience difficulties and are less motivated during learning. Based on the description, the study of learning to write text procedures was carried out using the Picture and Picture method in students of class XI Vocational School. The purpose to be obtained is to find out the results of student writing using the Picture and Picture method and to find out the differences in the learning outcomes of writing Procedure Text using the Picture and Picture method. This research uses Pre-Experimental Design research method with One Group Pre-Test Post-Test Design approach. The researcher chose 30 students in the XI class. The researcher carried out data collection techniques by conducting the initial test (pretest) and the final test (posttest). Based on the results of the test, the average pretest value was 52 and the posttest average value was 78.5 so that it showed the difference results with a difference of 26.5.
Using Redescriptions and Formal Concept Analysis for Mining Definitions in Linked Data

In this article, we compare the use of Redescription Mining (RM) and Association Rule Mining (ARM) for discovering class definitions in Linked Open Data (LOD). RM is aimed at mining alternate descriptions from two datasets related to the same set of individuals. We reuse RM for providing category definitions in DBpedia in terms of necessary and sufficient conditions (NSC). Implications and AR can be jointly used for mining category definitions still in terms of NSC. In this paper, we firstly, recall the basics of redescription mining and make precise the principles of definition discovery. Then we detail a series of experiments carried out on datasets extracted from DBpedia. We analyze the different outputs related to RM and ARM applications, and we discuss the strengths and limitations of both approaches. Finally, we point out possible improvements of the approaches.
Variables Extraction in Natural (English) Language Through Possessive Relationships

This is an extension from a selected paper from JSAI2019. The already highlighted importance of the ‘flow’ of data in the Market of Data brings needs of development of ways to better explore the utilization of data. Aware of the existence of rich knowledge stored and shared in text format, this paper aims to propose a method of representation of variable names that can be identified in natural language written knowledge. With the use of possessive relationships between words in Noun Phrases, we supported the representation of variable name relating a variable to a thing or event. A simple experiment was performed to demonstrate the efficacy of the proposed representation supported by Data Jacket Store, where we can find well-form variable names under the name of Variable Labels.
Blind Image Deblurring Using Patch-Wise Minimal Pixels Regularization.

Blind image deblurring is a long standing challenging problem in imageprocessing and low-level vision. Recently, sophisticated priors such as darkchannel prior, extreme channel prior, and local maximum gradient prior, haveshown promising effeciveness. However, these methods are computationallyexpensive. Meanwhile, since these priors involved subproblems cannot be solveexplicitly, non-rigorous approximation is commonly used, which limits the bestexploitation of their capability. To address these problems, this work firstlyproposes a simplified sparsity prior of local minimal pixels, namely patch-wiseminimal pixels (PMP). The PMP of clear images is much more sparse than that ofblurred ones, and hence is very effective in discriminating between clear andblurred images. Then, a novel algorithm is designed to efficiently exploit thesparsity of PMP in deblurring. The new algorithm flexibly imposes sparsitypromotion on the PMP under the MAP framework, which avoids non-rigorousapproximation in existing algorithms while being more computationallyefficient. Extensive experiments demonstrate that the proposed algorithm canachieve state-of-the-art performance on both natural and specific images. Interms of both deblurring quality and computational efficiency, the newalgorithm is superior to state-of-the-art methods. Code for reproducing theresults of the new method is available athttps://github.com/FWen/deblur-pmp.git.
Making Wearable Sensing Less Obtrusive

Sensing is a crucial part of any cyber-physical system. Wearable device has its huge potential for sensing applications because it is worn on the user body. However, wearable sensing can cause obtrusiveness to the user. Obtrusiveness can be seen as a perception of a lack of usefulness [1] such as a lag in user interaction channel. In addition, being worn by a user, it is not connected to a power supply, and thus needs to be removed to be charged regularly. This can cause a nuisance to elderly or disabled people. However, there are also opportunities for wearable devices to be used to assist users in daily life activities. In my proposal, I propose three directions to make wearable sensing less obtrusive: (1) Reduce obtrusiveness in user interaction with the device, (2) reduce the obtrusiveness in powering the device, and (3) using wearable to reduce obtrusiveness in user interaction with the surrounding environment.
A Model for Human, Artificial & Collective Consciousness (Part I)

Borrowing the functional modeling approach common in systems and software engineering, an implementable model of the functions of human consciousness proposed to have the capacity for general problem solving ability transferable to any domain, or true self-aware intelligence, is presented. Being a functional model that is independent of implementation, this model is proposed to also be applicable to artificial consciousness, and to platforms that organize individuals into what is defined here as a first order collective consciousness, or at higher orders into what is defined here as Nth order collective consciousness. Part I of this two-part article includes: Summary; Introduction; Set of Postulates One; Set of Postulates Two; Overview of the Model; Model of Homeostasis; Model of the Functional Units; Model of the Body System; Model of the Other Basic Life Processes; Model of the Other Functional Systems; Model of Perceptions in the Perceptual Fields; Model of Body Processes as Paths in the Perceptual Field; & Model of Conscious Awareness.
Сегментация опухолей на полнослайдовых гистологических изображениях с использованием технологии глубокого обучения

The paper addresses the problem of segmentation of malignant tumors in large whole-slide histology images in the context of computer-assisted diagnosis of breast cancer. The method presented in this study is based on image classification procedure of norm/tumor type. The procedure calculates probability of belonging of each particular elementary image region of 256×256 pixels to the tumor class, which are isolated by corresponding sliding-window technique. The procedure capitalizes on convolutional neural networks and Deep Learning methods. The neural networks being employed were trained on a representative dataset of 600 000 fragments sampled from whole slide images and representing the morphological and colorimetric variability of two classes. The resultant probability maps were post-processed using conventional image processing algorithms to obtain the final binary masks of pathological regions. The proposed algorithm of segmentation of whole slide histological images can be used in computerized diagnosis of cancer for detection and segmentation of malignant tumors.
Measuring Quality Teaching: Developing a Process Focused Framework

There is international acknowledgement that the ability of industry and nations to meet the competitive challenges of a growing global economy is often determined by the acquired industry relevant, knowledge, skills and attitudes of its workforce.A significant factor impacting on the level of success achieved by individuals can be directly related to the quality of the teaching experienced in formal Tertiary Vocational Education and Training (TVET) educational settings.The purpose of this paper is to explore, through a documented Chinese case-study of Tianjin City Vocational College, how quality teaching can be measured.The project methodology used was based on an intuitive-rational approach segmented into three (3) phases; preparation, process and reporting.The preparation phase focused on defining quality teaching and developing four research instruments to investigate quality teaching practices.The process phase involved gathering and analysing data generated from questionnaires, classroom observations and interviews.The reporting phase presented the findings of the research to relevant stakeholders.In reviewing the initial findings, it was acknowledged that the framework proposed does not match other quality evaluation methodologies in this area.This is partially because this evaluation methodology used focused on the actual teaching and learning experienced by participants.This measurement of the process at the point of delivery, rather than the outcomes at the point of completion, provides a detailed overview of the current educational climate and teaching practices of the institution being investigated.The data generated allows institutional response to improving teaching quality to be pro-active, impacting on current teaching practices, rather than reactive, focusing on past teaching practices.It was concluded that the evaluation framework created, and the associated research instruments developed, were robust and reliable.It was argued that they could be used with confidence by TVET institutions who want to pro-actively improve the teaching quality experienced by their learners.
Solving Problems Differently with Flux and Redux

Flux is an application architecture introduced by Facebook for building client-side applications. It complements the React paradigm of composable view components by using a unidirectional data flow. It's more of a pattern than a framework, and one can start using Flux immediately without an excess load of code. Redux is a predictable state container for JavaScript applications, which means it helps us to write applications that behave consistently in different environments: client, server, or native. It also makes your applications easy to debug and test.
Non-Realtime Social Presence in LumaPath as a Virtual Reality Therapy: Better Adherence for Chronic Pain Treatment?

In this poster, we present a pilot study on the efficacy of adherence by adding social components into LumaPath, an Immersive Virtual Environment (IVE) built for motivating chronic pain patients to perform range of motion (RoM) exercises, especially aging patients who live with Rheumatoid Arthritis (RA) and Osteoarthritis (OA).Based on results from this pilot study as well as from prior work, we propose that adding a certain level of social presence for patients in an IVE such as LumaPath may positively influence their adherence to using assistive tools for treating arthritis and chronic pain. CCS CONCEPTS• Human-
Research on the Teaching Method System of the Course of Computer Composition Principle Based on the Innovation Ability Training

As a core compulsory course of computer major, Computer Composition Principle has proposed higher requirement for practical ability.Based on educational idea of innovation ability training, by introducing new technologies and methods, this paper carries out a series of reform and innovation on course teaching methods and builds an innovation ability training system based on teaching method system, so as to be able to improve teaching quality and realize students' individualized learning and raise their innovation ability.With strong practicability and applicability, this system reflects development law of higher education and provides computer major teaching of college with a new thought and a new mode.
Курс "История и философия науки" для педагогической аспирантуры (методологические размышления)

Russian pedagogical community has recently faced a new challenge generated by the introduction of emerging conceptual framework for doctoral education treated as the third level of higher education system. The framework for doctoral education covers some typical study programs such as “Methods & technics of pedagogical research” as well as some new ones, including “Academic writing” and competence-based teaching for the traditional postgraduate training. Our argument concerns the course syllabus “History & philosophy of science” aimed at developing the research skills of doctoral students in education. This course is an integral part of the emerging system for doctoral training in Russia. We analyze some philosophical foundations of contemporary pedagogical science, including logical empiricism, Popper’s falsifiability, Paradigm Thesis by Thomas Kuhn, science theories by Paul Feyerabend and Stephen Toulmin, as well as correspondence, pragmatic, conventional and coherent theories of truth. We examine the impact of philosophy of science on methodology of pedagogical education in the context of the history of pedagogical thought. Our conclusion is that despite their poor logical conditions, pedagogical science and research methods benefit from the ideas of philosophy of science that also contributes greatly to the subfield of pedagogical methodology. We seek to optimize the study program of doctoral training syllabus “History and philosophy of science” for doctoral students in education.
Application of Recommender Systems on Web Portals to Increase User's Visit Statistics

In today's competitive world, the rapid advancement of technology, Internet and electronic commerce raise demand for existence of a mechanism which can predict user's requirements and requests.These mechanisms can lead us to outsource our competitors.The main issue is that we encounter large amount of information in web portals which are mostly heterogeneous and unrelated, therefore with no proper strategies of categorizing data and information preparation, users get involved in confusion accessing correct content.The most important challenges are reaching most relevant information in order to provide users.As a matter of fact, this problem could get solved by using domain of recommender systems which can help us finding and selecting related information according to user needs.Although, recommender systems help people dealing with massive data, these systems are less employed on Web portals.Certainly, the application of these types of systems on web portals will bring decent improvements to users.The study, uses MovieLens20m dataset that includes ratings and user labels for movies.User ratings and movie rating relationships are used in order to make an appropriate recommendation for users.labels which users considered for the movies are also employed in extraction phase.Finally, a combination of these two categories is offered as a recommendation to user.
EFEKTIVITAS WEBSITE SEBAGAI MEDIA PENYEBARAN INFORMASI URBAN FARMING BAGI PENGGUNA INTERNET (STUDI KASUS PADA www.pertanian-urban.web.id)

Abstract: Urban farming is a narrow-land agricultural solution. The fact urban farming has not known by the society. This study aims to analyze the characteristics and relationships of website visitor, the dimensions of website quality, with the effectiveness of urban farmingwebsite s as a medium for transmission information. The basic method of research is descriptive method. Analysis of the data used is the width of the interval, rank spearman and t test. The results of the study show that the dimensions of website quality have a good category. The results of the Spearman rank analysis, for the website characteristics variable, age, education level, occupation and income level have a significant relationship with online participation variables. The correlation relationship between age and online participation is two-way and the correlation between education, job and income levels has a one-way relationship with online participation. The results of rank spearman analysis for dimensions of websit quality with effectiveness variables have a significant relationship for several dependent variables. Effectiveness of the website as a medium for transmission information can be improved by improving aspects in the dimensions of the quality of the website .
Investigating Movement Detection in Unedited Camera Footage

Digital evidence from CCTVs is an aid in crime scene investigations and there is a demand for more automation. This paper describes a system that detects motion induced events within a video clip based on user-defined criteria, such as filtering by colour and size of the moving object and then extracts features and regions where events have been detected. Post processing includes finding association rules between objects that appear simultaneously in a clip based on their colour. All processing techniques follow best practices. The available Wallflower dataset is used for evaluation, and confusion matrices are computed by comparing the results achieved by this system against the ground truth values for each image sequence. Ranges of effective pre-processing parameter values were set for erosion, dilation and background subtractor threshold and the system was tested across a wide array of parameter values. For each combination, measures are extracted and the F1 Score is calculated. The lowest and highest F1 Score obtained across all image sequences were of 67% and 95% respectively. It is noted that the image quality of clips and background affect the F1 scores.
Analysis for Ranking of Web Pages

Abstract The success of the search engine depends upon its ability to rank Web pages given in the result the objective of the ranking mechanism is to arrange the results according to their relevance. There are several ranking techniques for efficient ranking of the web page has been proposed. With the help of a literature survey, it has been tried to know the strengths and weakness of each algorithm. Keywords: Content ranking, hidden web, indexing, page rank, surface web, term frequency. Cite this Article Ashok Kumar, Manish Mahajan, Dheerendra Singh. Analysis for Ranking of Web Pages. Journal of Advanced Database Management & Systems . 2019; 6(1): 13–16p.