Reviewerly/exHarmony huggingface dataset:
TRIT: A Robust Tracker Based on Triplet Network

In this paper, a target tracking algorithm, TriT(Triplet Network Based Tracker), based on Triplet network is proposed to solve the problem of visual target tracking in complex scenes.Compared with Siamese-fc algorithm, which adopts a two-way feature extraction network, TriT uses three parallel convolutional neural networks to extract the features of the target in the first frame, the target in the previous frame and the search regions of the current frame, and then obtains the high-level semantic information of the three areas.Then, the features of the target in the first frame and the target in the previous frame are respectively convolved with the features of the current search region to obtain the similarity between each position in the search area and the target in the first frame and the target in the previous frame, so as to generate two similarity score maps.Then, interpolate and enlarge the two low-resolution score maps, and use the APCE value of the score maps as the medium to fuse the two score maps, according to which the position of the tracking target in the current frame can be located.Experiments in this paper have confirmed that, compared with some other real-time target tracking algorithms such as Siamese-fc, TriT has great advantages in tracking robustness and can effectively execute tracking tasks in complex scenes, such as illumination change, occlusion and interference of similar targets.Experimental results also show that the proposed algorithm has good real-time performance.
Analisis Penentuan Jalur Evakuasi Banjir Kelurahan Karang Tengah Kecamatan Sragen Kabupaten Sragen

Flood is one of the dominant disaster in Indonesia. Sragen Regency which is located in Central Java is one area that is prone to flooding every year because of the overflow of the Bengawan Solo River and Garuda River. Karang Tengah Village is a village that is often affected by flooding due to the confluence of the two rivers. The flood resulted in material losses and fatalities. Therefore, the evacuation process must be carried out effectively and efficiently using preparedness in the form of an evacuation route. Preparedness in Karang Tengah Sub-district is not yet integrated because the problem of spreading evacuation sites for flood disasters in Karang Tengah Sub-district and evacuation routes for flood disasters in Karang Tengah Sub-district are not yet available. The purpose of this study is to analyze the distribution of flood evacuation sites in Karang Tengah Village and analyze the flood evacuation routes in Karang Tengah Village which can be used as a form of preparedness in facing flood disasters. The method used is a census on the object of research in the form of public facilities as evacuation sites and roads as evacuation routes. Facilities will be scored using evacuation criteria parameters and safe distance parameters to determine the classification of evacuation sites which can be used as refugee camps. Affected settlements will be divided into affected settlement blocks as a starting point and evacuation sites will be the final point. The direction of evacuation is determined by suitability of the number of refugees starting point with the capacity of evacuation of end points in the closest distance using the closest facility. Roads will be sccored using road parameters and slope parameters to determine the value of raster pixels from cost surface results which are then processed using cost distance, cost backlink and least cost path so as to produce a flood evacuation route. The result of the flood evacuation route in Karang Tengah Village are divided into 7 based on the starting point of the evacuation and the evacuation end point, which include resettlement block 1 to SMK Sukowati Sragen, resettlement block 2 to MTS N 5 Sragen, resettlement block 3 to SMK N 2 Sragen, resettlement block 4 to SMP N 3 Sragen, resettlement block 5 to Darul Ihsan Muhammadiyah Middle School, resettlement block 6 to Birrul Walidain Sragen Elementary School and resetllement 7 to Kutorejo Field.
Research Guides: Open Scholarship at Whitworth: Open Educational Resources

A guide explaining the basic of open access, open educational resources, and open publishing, for students and faculty.
Working Notebook On Differential Equations As a Means of the Organization of Independent Work of High School Classes

In the article uses additional opportunities to study the elements of the theory of differential equations (hard and soft models). The use of a workbook on a differential equation as a means of organizing the independent work of high school students is considered.
Using bayesian spelling correction to improve students' skills in a data structures class

This paper describes the adaptation of a natural language processing algorithm, Bayesian spelling correction, for use in teaching data structures. First I describe the algorithm and its mathematical basis. Then I describe the conversion to a programming assignment. Finally I describe what students learned from doing the assignment, lessons learned from this project and alternatives that could be used in assigning this project again.
Issues around child templates

This chapter adds longitudinal analyses of children learning two languages not yet included here, Lebanese Arabic and Brazilian Portuguese. It then looks at two more children learning British English, a diary and an observational study, each of which permits closer examination of the emergence and facing of templates. The chapter then reviews a study of expressive late talkers, providing a procedure for quantifying template use and illustrating it with analyses of three British late talkers with good comprehension skills. The study was too small to draw firm conclusions, but it did show that for late talkers, unlike typically developing children, templates may prove more of a hindrance than a help in phonological and lexical advance. In concluding the chapter considers the function of child templates, noting ways in which they may be supporting of word learning for children whose strongest phonetic limitations fall within the first two years.
Ανάπτυξη ολοκληρωμένης διάταξης για την καταγραφή σεισμικής καταπόνησης κτιρίων βασισμένη σετεχνολογίες «νέφους» και ασύρματων δικτύων μεγάλης απόστασης

The aim of the present thesis is to study and evaluate technologies for the development of a system for the estimation of the stresses of buildings and critical infrastructure from seismic activity and the optimized management of post-earthquake effects. In the theoretical background, there will be an analysis of the various technologies used to monitor and address seismic and post-earthquake phenomena. Next, the most suitable protocols and standards used for wireless communication with the sensing nodes will be studied and will be compared and evaluated for the implementation of an experimental setup. Finally, we will analyze all the nodes that realise the experimental setup with the specifications, cost and implementation options according to specific metrics. In the experimental setup, a system based on microcontroller has been realized, that perform measurements from a specific earthquake sensor, and then after appropriate analysis the aggregated data are deployed through a remote communication with a central node for controlling and displaying these measurements through a cloud application and an associated map supporting a very large number of nodes for continually updating the points of interest in case of an earthquake event.
Automatic classification of Malaria Using Artificial Neural Network

Malaria is one of the three most serious diseases worldwide, affecting 225 million infections each year in Sudan, mainly in the tropics where the most serious illnesses are caused by Plasmodium parasite. Automatic diagnosis design systems have been implemented to detect the presence of two types of Malaria (falciparum, vivax) using neural network. Firstly, the data has been acquisition from website and laboratory. The images were filtered to remove the noise using morphological filter, in order to separate the parasite from the other cell in the image k-means method is carried out. Then features (statics first order) were selected from textural features by t-test method, and neural network has been used to classify two types of Malaria. Finally, a graphical user interface has been designed to show result for two types of Malaria. After Complete the designing 95.45% accuracy 90.9%, sensitivity and 100% specificity has been determined.
Related-key Impossible Boomerang Cryptanalysis on LBlock-s

LBlock-s is the core block cipher of authentication encryption algorithm LAC, which uses the same structure of LBlock and an improved key schedule algorithm with better diffusion property.Using the differential properties of the key schedule algorithm and the cryptanalytic technique which combines impossible boomerang attacks with related-key attacks, a 15-round related-key impossible boomerang distinguisher is constructed for the first time.Based on the distinguisher, an attack on 22-round LBlock-s is proposed by adding 4 rounds on the top and 3 rounds at the bottom.The time complexity is about only 2 68.76 22-round encryptions and the data complexity is about 2 58 chosen plaintexts.Compared with published cryptanalysis results on LBlock-s, there has been a sharp decrease in time complexity and an ideal data complexity.
Topography mapping of convex aspheric surface up to 300 mm diameter Using “orthogonal ray” method

The present report is devoted to the overview of topography mapping of convex aspheric surface using the created interferometer for large convex optical aspheric surfaces. The testing method is also presented. It is based on an orthogonal ray scheme, where the convex testing surface is illuminated by a collimated beam, that is perpendicular to the optical axis of the surface. The interference pattern is formed on a screen by the interaction of the reference beam passing over the test surface and the object beam reflected from the test surface. The interference pattern is a system of quasi-straight fringes, containing information about the shape of the tested surface as the distance between those fringes. The experimental data obtained on the interferometer and presented.
EXPECTATIONS AND REALITY OF YOUNG SPECIALISTS’ EMPLOYMENT

1 Tyumen state University (RUSSIAN FEDERATION)2 Ural Federal University named after the first President of Russia B.N. Yeltsin (RUSSIAN FEDERATION)
LibGuides: Academic Areas of Interest: Education

The Harper College Library supports the College’s Academic Areas of Interest with a wide range of resources, study spaces and services--including research consultations and 24/7 online chat.
Feasibility Study on Aeroelastic States and Parameters Estimation with Visual Tracking

In recent years, developments in the field of aerospace materials and structures has been bringing major breakthroughs in the construction of air vehicles to be more lightweight yet with higher strength. However, the aircraft body can deform more appreciably due to the occurrence of flow separation and flutter. Therefore, active control is necessary in order to maintain structural integrity. One of the proposed control methods uses visual tracking for structural state estimation which reduces complexity in terms of hardware and data processing requirements compared to the conventional method of inserting a large number of inertial measurement units and gyroscopes in wing sections. The visual tracking routine is then integrated into a new structural state estimation routine that is robust against optical occlusions, and that can accurately reconstruct the states of the complete aeroelastic system. A new idea is to use a state estimator based on a reduced order mathematical model of the aeroelastic wing. This new state estimator is validated in simulation in different gust regimes. The results show that the state estimation convergences to the true values despite the process and measurement noise present in all simulated flight conditions. However, the pole position of the reconstructed state space fails to mimic the stable characteristics of the true model. Further analysis is recommended to constrain the parameter estimation in order to ensure that the stability of the true model can be retained, yielding an accurate solution for the aeroelastic controller feedback.
The Effect of Using Manga to Improve Students’ Writing Skill in Story Summarizing at Tenth Grade Senior High School. (An Experiment Research at the Tenth Grade of MAN 2 Kota Serang in Academic Year 2018/2019)

Nada Cahyatama Rochandra. 152301765. 2019. The Effect of Using Manga to Improve Students’ Writing Skill in Story Summarizing at Tenth Grade Senior High School. (An Experiment Research at the Tenth Grade of MAN 2 Kota Serang in Academic Year 2018/2019)This research investigates the effect of using Manga in writing lesson. The aim of the research is to find out whether teaching writing by using Manga as teaching media can improve students writing story summarizing, in narrative context. This research used two classes, experimental class and control class to collect data pre-test and post-test. The instrument used in this research was tests (pre-test and post-test). This research involves 58 students as sample among first grade of MAN 2 Kota Serang year 2019 as population. The result of the research shows that the degree of significance 5% and 1% > and > 1%,2,00 2,66. Based on the result above, the alternative hypothesis of this research is accepted. It can be concluded that there is a significant effect in using Manga as teaching media to improve students writing story summarizing skill at tenth grade senior high school in the academic year of 2018/2019.Key words: manga; narrative text; summarizing; writ
USING GEOLOCATION TECHNOLOGIES WHEN CREATING A VIRTUAL MUSEUM OF COMPUTATION ENGINEERING

This paper is devoted to the research and analysis of the applicability of geolocation technologies for the development of an application of a virtual museum of computer technology. It was necessary to select the optimal technology for use in the mobile application of the museum. During the research of the subject area, the requirements for the application were determined, on the basis of which the selection criteria for geolocation technology were formed. Next we made the review of existing geolocation technologies and identified the technology that most closely met the criteria. This article describes the subject area, it contains review of existing applications using geolocation technologies, selection criteria for the geolocation technology that are suitable for solving the problem, for analysis of the features of existing geolocation technologies, their comparison against generated criteria for selection of the most appropriate technology. In the technological part, the features of positioning technology based on BLE beacons are considered, and there are also the description of demo mobile application requesting exhibit data based on location of the user.
Image segmentation with local active contours on graphics processing units

Active contours model (ACM) is one of the most attractive and popular methods for image segmentation. While the different formulations of the ACM are generally known to be highly computationally demanding, like most of the image processing techniques do, they are however potential candidates for parallelization.
Experimenting Application Engineering with Requirements Pattern for Software Product Families

Reuse of software artefacts such as requirements is an indispensable activity in software development. However, practitioners reuse requirements opportunistically without proper planning. Software product line engineering (SPLE) comprises of two main processes known as domain engineering and application engineering. During the domain engineering process, a solid foundation is laid for designing reusable structure, which helps in delineating requirements artefacts and systematic planning for future reuse. Whereas, during application engineering process, systematic reuse of software artefacts is realized taking advantage of the benefits of reuse are utilized in application engineering phase through derivation of various reusable structure initially built in domain application. This paper presents evaluation of systematic requirements reuse framework (RP-SPF) from an experiment in academic setting. The findings of the evaluation show that the RP-SPF approach is more efficient and effective compared to conventional (Ad hoc) of reusing and documenting requirements
The digital transformation of the music industry through applications of blockchain technology

Since its introduction in 2008, the blockchain technology has been hailed as the one that could revolutionise many different industries. The music industry underwent several changes in the last 20 ...
Research and Implementation of an UAV Engine Debugging Earmuff System

Abstract Aiming at the problem that speech communication can not be implemented due to the huge noise of UAV engine debugging, a debugging earmuff system based on radio communication is designed. The system captures the debugger’s mouth shape by camera, and uses lip recognition technology to obtain the instructions expressed by the debugger through region detection, lip feature extraction, training and recognition. After modulation, the instructions are transmitted to the distant place by the wireless transmitter module in the form of electromagnetic waves. At the executing end, the antenna is used to receive the radio information and to release it by voice after demodulation, so that the cooperator receives the instructions from the debugging end.
Research Guides: ERH203: Ways of Reading: Find Books

This course research guide is created for MAJ Hodde's ERH203 class taught in the Fall of 2019.
Поширення результатів наукових досліджень у світовому інформаційному просторі

The presentation highlighted the importance of the presence in the open access of scientific research results of the Bila Tserkva National Agrarian University. The necessity of placement of scientific achievements in the institutional repository is determined. The role of the University Scientific Library in helping to create and maintain personal profiles of scientists in international scientometric databases is highlighted.
INNOVATIVE TEACHING METHODS IN INFORMAL LEARNING FOR YOUNG PEOPLE AT RISK OF SOCIAL EXCLUSION IN BULGARIA

INNOVATIVE TEACHING METHODS IN INFORMAL LEARNING FOR YOUNG PEOPLE AT RISK OF SOCIAL EXCLUSION IN BULGARIA
A Multi-criteria Approximation Algorithm for Influence Maximization with Probabilistic Guarantees

The well-studied influence maximization problem involves choosing a seed set of a given size, which maximizes the expected influence. However, such solutions might have a significant probability of achieving low influence, which might not be suitable in many applications. In this paper, we consider a different approach: find a seed set that maximizes the influence set size with a given probability. We show that this objective is not submodular, and design a greedy, multi-criteria approximation algorithm for this problem with rigorous approximation guarantees. We also evaluate our algorithm on multiple datasets, and show that they have similar or better quality as the ones optimizing the expected influence, but with additional guarantees on the probability.
Tensor network methods for Radiotherapy Dose Optimization

The very first successful application of tensor network methods (TNMs) to the solution of the dose optimization in Intensity Modulated Radiation Therapy (IMRT) is considered. This technique provides a method to modulate the local beam intensities, dividing the beam into smaller beamlets. This allows to reduce the radiation toxicity for healthy organs and deal with irregular and inhomogeneous tumors. Plan's goals are encoded as mathematical constraints into a cost function expressing the distance between the prescribed and delivered dose. Aim of the optimization is to minimize the function associating to each beamlet the optimal weight xj. In this thesis a classical quadratic cost function is mapped into an Insing-like Hamiltonian, where the beamlets weights are described by a system of long-range interacting qubits. The aim of the work is to solve the dose optimization problem using a binary tree tensor network (bTTN) to find the Hamiltonian's groundstate and to show the applicability of TNM to the IMRT dose optimization problem.
REFLECTIONS ON THE EDUCATIONAL TRANSITION OF CHINESE MANAGEMENT STUDENTS: A SUMMARY OF OBSERVATIONS AND INSIGHTS FROM BOTH STUDENTS AND STAFF

REFLECTIONS ON THE EDUCATIONAL TRANSITION OF CHINESE MANAGEMENT STUDENTS: A SUMMARY OF OBSERVATIONS AND INSIGHTS FROM BOTH STUDENTS AND STAFF
Long Term Stability of Conduit Dynamics at Fuego Volcano, Guatemala, 2008-2015

Fuego volcano in Guatemala began its current eruptive episode in 1999. From 2008-2015 we observed repeating and near-repeating seismic events in the long period (LP: 0.5-5 Hz) and very long period (VLP: 100-10s) bandwidths. Two separate types of repeating VLP events indicate pressurization within the shallow conduit prior to explosions with different surficial expressions, including emissions from two separate vents from at least 2008-2012. Between explosions, repeating LP events which do not have associated visible emissions provide a mechanism for small magnitude degassing. The seismic amplitudes of the LP events are 1-3 orders of magnitude lower than the amplitudes of the VLP events. The coefficient of variation of the interevent times for these repeating LP events in 2012 were all above 1.5, which suggests a renewal process driven by interactions of more than one factor. Based on the at least eight-year stability of both the LP and VLP signals and coupled with various other visual datasets, we present an updated model of the shallow conduit dynamics controlling explosive events. In this model, the VLP source acts as a possible constriction point allowing for crystal and volatiles to form local concentrations out of an otherwise steady supply of magma. High water content leads to undercooled magma and promotes rapid crystallization and the formation of partial seals within the conduit. Pressurization due to and breaking of these seals results in the modeled VLP source. Strain along the conduit margins promotes the formation of fracture networks which facilitate degassing, the opening and closing of which are sources for the LP signals. Small fluctuations in magma ascent rates therefore have drastic effects on changes in shallow magma rheology and eruption style. These small fluctuations average out over the intermediate term (week to month) to maintain observed, stable, long-term (year to multi-year) degassing rates from the volcano.