Reviewerly/exHarmony huggingface dataset:
Robust Visual Tracking Based on Convolutional Sparse Coding

This paper proposes a new visual tracking method by constructing the robust appearance model of the target with convolutional sparse coding. First, our method uses convolutional sparse coding to divide the interest region of the target into a smooth image and four detail images with different fitting degrees. Second, we compute the initial target region by tracking the smooth image with the kernel correlation filtering. We define an appearance model to describe the details of the target based on the initial target region and the combination of four detail images. Third, we propose a matching method by the overlap rate and Euclidean distance to evaluate candidates and the appearance model to compute the tracking results based on detail images. Finally, the two tracking results are separately computed by the smooth image, and the detail images are combined to produce the final target rectangle. Many experiments on videos from Tracking Benchmark 2015 demonstrate that our method produces much better results than most of the present visual tracking methods.
Estimasi Pemberantasan Hama di Kebun Bah Jambi Menggunakan Algoritma Backpropagation

Oil palm, which is the largest palm oil producer, plays an important role in the welfare of the people in Indonesia because it creates many jobs. Oil palm plants cannot be separated from pests. The number of pest attacks on oil palm plants can cause a decrease in fruit production and can even cause the plant to die. In this study, the authors estimated the number of pest attacks in the oil palm plantation Unit Bah Jambi, North Sumatra using the backpropagation algorithm. The data used in this study were obtained directly from the Plantation Unit Bah Jambi plantation. In this study the authors used 5 architectural patterns; 2-10-1, 2-12-1, 2-14-1, 2-16-1, 2-16-1. Of the five architectural patterns used, the best architecture is obtained with an accuracy rate of 75%, 187 epoch iterations in 4 seconds, namely the 2-10-1 architectural pattern
The Effect of Online Module Instruction for Improving Reading Comprehension

This study aimed to know the effect of the Online vs Paper-Based Instruction module in teaching reading and to know how high the students’ motivation after using Online and Paper Based Instruction was in reading class. The study was done in the academic year of 2018/2019 in one of High School in Tegal. The population was ten grades of science students. The technique of sampling used was a random sampling technique. We took two classes as the sample. There were 30 students from each. The first class as an experimental group (students of Science 5 who were taught by Online Based Instruction), and the second group as a control group (students of Science 6 who taught by Paper-Based Instruction). Each group received six meetings to get the treatment. Data from the pretest and posttest from two groups were utilized to analyze the result of significant effect. Besides, to strengthen the data, we used a questionnaire to know the students’ responses after they were treated by Online and Paper Based Instruction. The results indicated that the use of Online Based Instruction performed a significant effect on students’ reading comprehension. It is also found that 46.7% of students were motivated while using Online Based Instruction. The finding of this study can be used by the teacher as a source of materials for teaching reading.
Archaeological Study of Islamic History in Minahasa

This article shed light on an archaeological study about the spread of Islam in the land of Minahasa of North Sulawesi Province. As the biggest ethnic group living in North Sulawesi Province, most of its people are Christians. Islam arrival in Minahasa carried by Arab traders, &lt;em&gt;habaib&lt;/em&gt; from Hadramaut, and political prisoners (Kiai Modjo, Tuanku Imam Bondjol, Kiai Ahmad Rivai, and Tubagus Buang). As a discipline with a focus on ancient cultural heritage, archaeology works based on the material culture taking the form of artifacts, ecofacts, or features. This study enables an investigation on Islamic history in Minahasa based existing physical cultural. The archaeological study on the history of spread of Islam in Minahasa is of novelty since the previous researches of the same topic were mostly conducted through manuscript and archive study. The result of the field observation reveals that the influence of Islamic culture in Minahasa comprises of some Islamic settlements, mosques, and Islamic cemetery. The influence of Islamic culture in Minahasa has a different character between coastal and inland areas.
Library guides / Biblioteekgidse: Makerspace: Bookings for Equipment, Tools and Workstations

Provide a collaborative technologically focused environment for SU students and staff to invent, create and learn while sharing. Book a workstation
Introduction to Research Data Management Presentation

Presentation outlining the various levels of service and support offered to researchers at Northumbria University in the field of research data management, and the importance and function of RDM in the greater research life cycle.
LibGuides: Materials Science & Engineering: Search Tips and Tricks for Reserch Databases

Resources for research in the materials engineering discipline, including research databases, resources for data and properties, codes and standards, and product information
Iterative Dynamic Waypoint Navigation for Avoiding Multiple Moving Obstacles and Improvement of Computational Efficiency

For providing services where environments exist multiple humans or obstacles, robots need to move with considering multiple humans simultaneously, react quickly to the behavioral changes of pedestrians, choose acceleration/deceleration appropriately, and predict human’s behavioral changes. We thus propose a multiple moving obstacles avoiding method, called Iterative Dynamic Waypoint Navigation (IDWN). The method consists of (i) interference estimation, to predict future interference with a pedestrian, (ii) cluster estimation, to avoid pedestrians as a cluster who cannot be avoided without entering their personal space, (iii) path generator, to calculate waypoints of default speed, acceleration and deceleration paths, (iv) iterative search, to repeat the above three functions for all pedestrians in the environment, and (v) cost calculation, to select the lowest cost trajectory. For reducing the calculation cost, some heuristics, omitting candidates which theoretically increase the cost, are introduced. We implemented the method into a simulator and conducted evaluation experiment by comparing with several conventional methods. As the result of the experiment, we verified that IDWN worked well in versatile dynamic environments with multiple moving obstacles with less computation time.
On fast Fourier transform-based decoding of Reed-Solomon codes

Reed-Solomon (RS) codes is a popular class of codes that have been implemented in many practical systems. Recently, a fast approach to the error decoding of RS codes based on fast Fourier transform (FFT) was invented. In this work, we derive the key equation based on the Lagrange polynomial and then present erasure-and-error decoding of an (n; k) RS code. This decoding algorithm can simultaneously correct up to v errors and f erasures when 2v + f < n − k + 1. The decoding complexity is with only O(n log n + (n − k) log2(n − k)).
I resurrected my old blog from the ...

I resurrected my old blog from the death of a PHP upgrade. I haven't updated it since 2013. It has a blogroll that I haven't
Recognizing and counting Dendrocephalus brasiliensis (Crustacea: Anostraca) cysts using deep learning

The Dendrocephalus brasiliensis , a native species from South America, is a freshwater crustacean well explored in conservational and productive activities. Its main characteristics are its rusticity and resistance cysts production, in which the hatching requires a period of dehydration. Independent of the species utilization nature, it is essential to manipulate its cysts, such as the counting using microscopes. Manually counting is a difficult task, prone to errors, and that also very time-consuming. In this paper, we propose an automatized approach for the detection and counting of Dendrocephalus brasiliensis cysts from images captured by a digital microscope. For this purpose, we built the DBrasiliensis dataset, a repository with 246 images containing 5141 cysts of Dendrocephalus brasiliensis . Then, we trained two state-of-the-art object detection methods, YOLOv3 (You Only Look Once) and Faster R-CNN (Region-based Convolutional Neural Networks), on DBrasiliensis dataset in order to compare them under both cyst detection and counting tasks. Experiments showed evidence that YOLOv3 is superior to Faster R-CNN, achieving an accuracy rate of 83,74%, R 2 of 0.88, RMSE (Root Mean Square Error) of 3.49, and MAE (Mean Absolute Error) of 2.24 on cyst detection and counting. Moreover, we showed that is possible to infer the number of cysts of a substrate, with known weight, by performing the automated counting of some of its samples. In conclusion, the proposed approach using YOLOv3 is adequate to detect and count Dendrocephalus brasiliensis cysts. The DBrasiliensis dataset can be accessed at: https://doi.org/10.6084/m9.figshare.13073240 .
Teaching Wh-Question To Young Learners Through Picture For Sekami Of Paroki Roh Kudus Tomohon

This study intends to find out the effectiveness of using picture as teaching media in teaching WH-Question. The Subject consisted of 10 young aged students attending SEKAMI during the period November 2018 – February 2019. The data were collected through objective test pre-experimental design of one group pre-test post-test. The data were analyzed based on descriptive statistics, in which the mean of pre-test was compared to the mean of post-test. The finding shows that students improved their achievement after being treated with picture. The mean of post-test is higher than the mean of pre-test (X2 is higher than that of X1 = 82.5 &gt; 61.5). This indicates that the use of picture as a teaching media was interesting and made the students easy to understand the situation that had been explained to them. Keywords: WH-Question, Young learners, teaching through picture.
Camera Angles, Lenses, and Storytelling

Chapter 4 explains the differences that camera height and lens choices make to an image seen through a camera lens. The dramatic perspective changes that are created by using different camera heights are described and illustrated. The storytelling effects of lenses are examined. The details of how lenses can be used for such purposes as making objects at various distances seem closer or farther away, limiting what’s visible, compressing or expanding space, speeding up or slowing down action, zooming in or out, and throwing objects at chosen distances out of focus are all described and illustrated. Important compositional and storytelling effects of lens length on tilts, pans, and traveling shots are described and illustrated.
LibGuides: Game-Based Learning for K12: Elementary School

Resources for Game-based learning for K12 grades Game-Based Learning resources for elementary level education.
An Investigation into How Korean University Students Are Affected by Foreign Language Classroom Anxiety in Online English Courses

This study examines the levels of foreign language anxiety that students attending a Korean university have while taking an English conversation course. This study differs from many previous studies on foreign language anxiety as it focuses on university students that are taking English language courses online rather than students taking offline courses. The study also investigates how the variables of gender, major, year and experience of living in an English-speaking country affect how much foreign language anxiety a participant has. The results of this study indicate that there is not a significant difference between the overall levels of foreign language anxiety that students have in online language classes than they do in offline classes. Interestingly, most of the instructors that took part in this study thought that their students appeared less anxious during online classes than students in offline classes. To explore the idea that students are less anxious in online courses it would be beneficial to do a future study on students in the same university when courses are resumed offline.
Improving (ε,δ)-PAC Monte Carlo tree search using spherical confidence regions

We consider a simplified version of the Monte Carlo tree search (MCTS) problem, a problem where, given a game tree with stochastic reward, one is tasked with finding the best move from the root. This problem is well studied, and recently impressive results have been obtained. For example, in 2016, when the AlphaGo program beat the professional Go player Lee Sedol. Even though these results were spectacular, not much is known about the guaranteed accuracy of these algorithms. In this work, we review the FindTopWinner algorithm for the MCTS problem. The FindTopWinner algorithm is guaranteed to give an accurate result with high probability, as is formalized in the (e,δ)-PAC learning framework. However, its sample complexity is not optimal. We improve FindTopWinner by introducing the Spherical Confidence Region- MCTS (SCR-MCTS) algorithm, which operates by creating a spherical confidence region on the joint values of the leaves in multiple iterations called epochs. We show that SCR-MCTS has the (e,δ)-PAC guarantee, and we show that empirically SCR-MCTS draws fewer samples than FindTopWinner does on various benchmark trees.
Correlation Between Length of Reference and Severity in Head Injury Patients in Emergency Installation Ulin Hospital Banjarmasin

One factor in the success of handling head injuries is the speed and accuracy of handling. The purpose of this study was to determine the relationship between the length of time of referral and the severity of head injury patients in Emergency Department of Ulin Hospital Banjarmasin. The research method was observational correlation with a cross sectional approach, the sample was head injury patients treated in the emergency room at Ulin District Hospital Banjarmasin as many as 52 people. Data were analyzed using the Spearman-Rho test. The results showed that patients with a referral time ≤ 1 hour 100% had a mild severity. Patients with a length of referral time &gt;1 hour experienced moderate severity (41.2%), severe (35.3%), serious (17.6%), and mild (5.9%). There was a significant correlation between the length of time of referral and the severity of head injury patients and the strength of the correlation was strong.
Penerapan Data Mining Dalam Mengelompokkan Data Pengangguran Terbuka Menurut Provinsi Menggunakan Algoritma K-Means

Open unemployment is a workforce that has absolutely no job. This unemployment occurs because the labor force has not gotten a job even though it has been trying optimally or because of laziness to find work or lazy to work. The government must be able to suppress open unemployment so that poverty alleviation programs can be achieved. The government needs accurate information about unemployment grouping data in Indonesia by province. This study aims to classify open unemployment data in Indonesia by province. Data is taken from the Indonesian Central Statistics Agency in the form of open unemployment data by province from 2015 to 2019. This grouping uses the K-Means Clustering method. Data is grouped based on 2 clusters. The results of this study are that there are 12 provinces in the high cluster and 22 provinces in the low cluster
PROSPECTS FOR DIGITALIZATION OF ART EDUCATION

The relevance of the study is due to the fact that in the framework of the state program of digitalization of all spheres of the life of Russians, the learning process in higher education institutions of art and culture has acquired a digital format. In this regard, this study is aimed at assessing the digitalization results of a modern university (using the example of the Higher School of Music of A. Schnittke (Institute) of the Russian State Social University and the trends in this process. The analysis of the results allows concluding that in Russia, the digitalization of higher education leads to an increase in the level of its quality, an increase in the level of mastery of programs by students, an expansion of the range of competencies and opportunities for them to obtain quality education for a wider circle of people.
LibGuides: How To Build A Simple Website: Library Resources

The purpose of this LibGuide is to provide easy-to-follow steps to help you create a simple, yet effective, website for a class and/or business. Throughout this guide you'll find links to resources to help you get your ideas in order and build your websit
EFL Teachers’ Problems in Constructing English Mid-Semester Test at State Junior High School 12 Padang

The objectives of this study are to find out the EFL teachers’ problems in constructing English Mid Semester test at SMPN 12 Padang. This research used descriptive qualitative method, where the data were collected through Interview and document analysis. The interview was conducted to determine the teachers’ problems in constructing the test, while, the document analysis to triangulate the result of interview. The researcher chooses two English teachers who teach at class VII. The finding of the study shows that the construction of mid-semester test in this school is based on the principles’ association, where each of them attends the meeting to make the test together. This design was used by this school that sends their teachers and also others that the teachers do not attend the meeting. It is recommended that in making mid semester test; it should be giving to the schools’ teachers and committee since all of them know precisely the students’ ability and comprehension. The teachers may also design the test by giving special items to dig more about their students’ comprehension on each subject matter. Keywords : English Mid-Semester Test; EFL teacher; English as a Foreign Language.
Deep Convolutional Autoencoders for Deblurring and Denoising Low-Resolution Images

In this paper, we implement machine learning methods to recover higher-dimensional signals from lower-dimensional, noisy, and blurry measurements. In particular, rather than utilizing optimization-based reconstruction methods, we use fully-connected multilayer perceptron (MLP) architectures and convolutional neural networks (CNN). In addition, we consider two different loss functions based on mean squared error and a Huber potential to train our models. Numerical experiments on the Street View House Numbers dataset show that while fully-connected MLPs are faster to train, reconstructions using CNNs are much more accurate.
Shaw University Library Guides: Other Lending Resources: Cooperating Raleigh Colleges (CRC)

Guide to using Cooperating Raleigh Colleges (CRC) and Interlibrary Loan (ILL) lending options to supplement your research at Shaw University Libraries. An in-depth look at CRC Lending
A Study on Critical Pedagogy's View of Curriculum Knowledge

Only when knowledge becomes legal knowledge can it enter the field of curriculum.Critical pedagogy holds that curriculum knowledge is the knowledge of the ruling class and represents the interests of the ruling class; the curriculum knowledge is chosen by the dominant class in the society with its power, and the knowledge in line with the interests of the class is given a legal status and introduced into the school; because the curriculum knowledge can reproduce the ideology of the ruling class, spread its culture, and finally consolidate its position, the ruling class of has to strictly screen the curriculum knowledge into the school; the criterion of selection is to conform to the ideology of the ruling class, so that the knowledge finally selected is the knowledge that represents the ideology and values of the ruling class.Critical pedagogy opens a new perspective and methodology system for the study of curriculum knowledge selection, but it also has some limitations.
Speech Acts Analysis among Second Language Learners: Basis for an Enhanced English as Second Language (ESL) Instruction on Pragmatics

The study aimed to determine the speech acts performedby student-participants through requesting; asking permission;invitation; complaining; refusing or rejecting; and communicatingdifferent people in the society and lastly, to develop an enhancedlearning plan on teaching pragmatics. The study revealed that thestudent – participants have a high – degree usage of directivespeech acts especially on imperatives, performatives and personalneed/want statement in terms of requesting something. In thecommunicative activities performed by the students, it has beenobserved that participants can be very expressive especially if theyare in a situation of confronting someone. Students lack the abilityto hold on their emotions while in a conversation process and thereis a limited use of polite words. There were less hedges andindirectness words utilized by the students. Due to the students’limited linguistic resources, knowledge and ability to useappropriate request expressions, the students failed to includeappropriate framing expressions to mitigate directness. This givesan implication to ESL instruction on Pragmatics that in order forthe ESL learners to attain good command of their second language,learners should be exposed to English language.
LibGuides: Resources for Dependents: Elementary School (K - 5th)

A guide to library services, databases, and other resources for K-12 students of Furman Employees.
สภาพการดำเนินงานพัฒนาระบบเทคโนโลยีสารสนเทศของสถานศึกษา สังกัดสำนักงานเขตพื้นที่การศึกษาประถมศึกษาราชบุรี เขต 2

The purposes of this research were to 1) study the operating conditions of development of information technology system organization in education institutions under the jurisdiction of ratchaburi primary educational service area office 2 and 2) compare the operating conditions of development of information technology system organization in education institutions under the jurisdiction of ratchaburi primary educational service area office 2. The Sample were 108 schools in education institutions under the jurisdiction of ratchaburi primary educational service area office 2. Use Cluster random sampling and Purposive sampling the three respondents from each school were administrator, head of academic department and teachers or operator about information technology total of 324. The research instrument for collecting the data was a five-level rating scale (Likert’s Scale) questionnaire with reliability .97. The statistical used in data analysis were percentage, mean, standard deviation, and One way analysis of variance : ANOVA different was found at .05 level of significance. Doing Scheffe’s duality test.The research results were as follows:The overall of the operating conditions development of information technology system organization in education institutions under the jurisdiction of ratchaburi primary educational service area office 2 was in highest level. When considering each aspect, maintenance, planning, implementation, analysis, and design were in high level respectively. And considering the operating conditions of the size of the school in overall were rated at a high level from the highest to the lowest mean were small school, medium school and a large school.The overall of the operating conditions development of information technology system organization in education institutions under the jurisdiction of ratchaburi primary educational service area office 2 in schools of different sizes had no difference in the operation of the information technology system of the educational institution. The development of information technology system of educational institutes was not different.