Reviewerly/exHarmony huggingface dataset:
Target counting and location detection in electromagnetics using convolutional neural networks

Here, we showcase an application of neural networks (NNs) to solve an inverse problem in electromagnetics. Wires are randomly distributed into an area of known dimensions. The wires are then illuminated with a monochromatic plane wave (PW) at a certain angle of incidence, and the electromagnetic (EM) field measured at a finite number of points along the perimeter of the area is then fed into a convolutional neural network (CNN) designed to predict either (i) the number of the wires or (ii) the location of the wires.
Parallelization on Gauss Sieve Algorithm over Ideal Lattice

Cryptanalysis of lattice-based cryptography is an important field in cryptography since lattice problems are among the most robust assumptions and have been used to construct a variety of cryptographic primitives. The security estimation model for concrete parameters is one of the most important topics in lattice-based cryptography. In this research, we focus on the Gauss Sieve algorithm proposed by Micciancio and Voulgaris, a heuristic lattice sieving algorithm for the central lattice problem, shortest vector problem (SVP).We propose a technique of lifting computations in prime-cyclotomic ideals into that in cyclic ideals. Lifting makes rotations easier to compute and reduces the complexity of inner products from O(n^3) to O(n^2). We implemented the Gauss Sieve on multi-GPU systems using two layers of parallelism in our framework, and achieved up to 55 times speed of previous results of dimension 96. We were able to solve SVP on ideal lattice in dimension up to 130, which is the highest dimension SVP instance solved by sieve algorithm so far. As a result, we are able to provide a better estimate of the complexity of solving central lattice problem.
Siamese Visual Tracking with Dual-Pipeline Correlated Fusion Network

Siamese visual tracking, viewed as a problem of max-similarity matching to the target template, has absorbed increasing attention in computer vision. However, it is a challenge for current Siamese trackers that the demands of balance between accuracy in real-time tracking and robustness in long-time tracking are hard to meet. This work proposes a new Siamese based tracker with a dual-pipeline correlated fusion network (named as ADF-SiamRPN), which consists of one initial template for robust correlation, and the other transient template with the ability of adaptive feature optimal selection for accurate correlation. By the promotion from the learnable correlation-response fusion network afterwards, we are in pursuit of the synthetical improvement of tracking performance. To compare the performance of ADF-SiamRPN with state-of-the-art trackers, we conduct lots of experiments on benchmarks like OTB100, UAV123, VOT2016, VOT2018, GOT-10k, LaSOT and TrackingNet. The experimental results of tracking demonstrate that ADF-SiamRPN outperforms all the compared trackers and achieves the best balance between accuracy and robustness.
Research on non-ideal waveform modulation of time modulation array antenna

In this paper, aiming at the non-ideal characteristics of the radio frequency switch in the time-modulated array antenna, the harmonic characteristics of various modulation waveforms are studied. First, the Fourier coefficients of the asymmetric trapezoidal/raised cosine waveforms are deduced, and the influence on amplitude, phase and energy proportion of two waveforms are analyzed. On this basis, an experimental modulation waveform are obtained through experiments, and trigonometric polynomials are used to fit the rising and falling edges of the real modulation waveform. Finally, the difference between various waveforms and harmonics is discussed. The results show that compared with existing modulation waveforms, the modulations of the asymmetric trapezoidal waveform, asymmetric raised cosine waveform and the fitted waveform proposed in this paper are closer to real waveform.
A Novel Application of Meta-Heuristic Algorithm in Mitigating Travelling Salesman Problem

This paper presents another heuristic calculation dependent on joining branch and bound calculation and a unique reenactment model for the mobile sales rep issue. The methodology utilizes the reenactment results for making the best visits inside the branch and bound tree. The most bit of leeway of this methodology lies in the learning procedure both in recreation cycle and B&B calculation. So as to test the proficiency of the proposed calculation, a few computational analyses were directed over center scale and enormous scope issues. As the computational outcomes show the calculation can be utilized effectively practically speaking with sensible exactness and speed.
Robust and Efficient Homography Estimation Using Directional Feature Matching of Court Points for Soccer Field Registration

In this paper, we present an efficient and robust method for estimating Homography matrix for soccer field registration between a captured camera image and a soccer field model. The presented method first detects reliable field lines from the camera image through clustering. Constructing a novel directional feature of the intersection points of the lines in both the camera image and the model, the presented method then finds matching pairs of these points between the image and the model. Finally, Homography matrix estimations and validations are performed using the obtained matching pairs, which can reduce the required number of Homography matrix calculations. Our presented method uses possible intersection points outside image for the point matching. This effectively improves robustness and accuracy of Homography estimation as demonstrated in experimental results.
Research on the Employment Situation of Graduates from Application-oriented Undergraduate Universities-A Case Study of Automation Major in Jilin Engineering Normal University

The employment trend is derived by analyzing the employment situation of graduates from applied undergraduate universities, which helps the majors to update the training program and optimize the course settings, so as to better serve the society.In this study, we analyze the employment information of the employed students of Jilin Engineering Normal University, taking the automation major as an example, from 2016 to 2020.Combined with the major's initiatives to improve the quality and employment rate of undergraduate training, the effectiveness of the major's reform is visually evaluated through the analysis of employment information.The research results provide references for related majors.
Efeitos das antocianinas nas doenças crônicas não transmissíveis.

Introduction: Noncommunicable Diseases (NCDs) are characterized by metabolic disorders in the body that cause physiological changes due to multiple factors, including oxidative stress (EO), activating individual biomarkers of inflammation. Anthocyanins have beneficial effects against inflammatory and oxidative conditions, as they have antioxidant activities, relieving EO, modulating lipid metabolism and contributing to the improvement of obesity. Objective: This study is aimed to deepen research on anthocyanins and their antioxidant and anti-inflammatory action, on NCDs. Methods: An integrative review of the scientific literature was carried out. The bibliographic search was carried out in the MEDLINE, LILACS and PubMed databases. The inclusion criteria for the selection of articles were: English languages, original articles and available in full text articles. In addition, the selected articles should conform to the study theme and comprhend a publication period from 2014 to 2019. Results: 15 articles were used for the review, and among these it was observed that the vast majority were carried out in vitro. In addition, the main findings revealed that anthocyanins have a satisfactory impact in reducing the risks for CNCDs, as they are mainly able to inhibit the activation of pro-inflammatory pathways. Conclusion: Through the consulted literature, it was verified that the studies indicate advantages in the daily consumption of anthocyanins, resulting in the prevention and improvement of the symptoms of chronic diseases. However, greater investments in studies with standardized methodologies that analyze the real potential and benefits of this group of flavonoids are necessary.
Multimedia Design Department of KSADA on the Modern Stage: Challenges of Time and Actual Directions of Work

The publication substantiates the need to find and master the latest trends and technologies in multimedia, dictated by the modern labor market. The author outlines the history of development of the Multimedia design department, provides the information on the basic scientific achievements and participation in development of scientific state budgetary subjects, and notes the international activity of the department. The focus of the research is aimed at highlighting creative experiments and projects that have been and are crucial in the modern search for a place of specialization in the field of multimedia. At the moment, the fundamental area of our creative search is animation in all its varieties and forms. An indicative result of this work is the successful participation of MD students in numerous national and international animation competitions. In general, the course for the training of professional animators is of great importance for the formation of this art form in Ukraine. The natural interest of young people in music finds its professional solution in the creation of numerous videos that visualize musical works. We have started systematic work in the direction of fractal animation in order to “revive” fractal worlds. The MD department conducts theoretical research in motion design, creates various developments of animated typography, infographic videos, etc. The design of computer games in all their varieties is also widely presented. In recent years, the department has begun practical work in the field of projection technology, and has already achieved the first successes in international competitions of architectural 3D mapping. Software is the practical development and research of augmented reality in image recognition technologies for both flat objects (painting, graphics, illustration) and in the urban environment. In the last two years, we have successfully started developing of virtual reality projects.
Video steganography using 3D distance calculator based on YCbCr color components

Steganography techniques have taken a major role in the development in the field of transferring multimedia contents and communications. Therefore, field of steganography become interested as the need for security increased significantly. Steganography is a technique to hide information within cover media so that this media does not change significantly. Steganography process in a video is to hide the information from the intruder and prevent him access to that hidden information. This paper presents the algorithm of steganography in the video frames (STD@video). The proposed algorithm selected the best frames to hide the message in video using 3D distance equation to increasing difficulty onto the intruder to detect and guess the location of the message in the video frames. As well as selected the best frames in this algorithm increased the difficulty and give us the best stego-video quality using Structural SIMilarity (SSIM). Also, the hash function was used to generate random positions to hide the message in the lines of video frames. The proposed algorithm evaluated with mean squared error (MSE), peak signal-to-noise ratio (PSNR) and SSIM measurement. The results were acceptable and shows that is the difficulty of distinguishing the hidden message in stego-video with the human eye.
Perancangan Prototype Game Edukasi "Petualangan Anak Sholeh"

Submission of Islamic teaching materials in several schools and TPA / TPQ is made directly by way of delivery of content by teachers, and students pay attention, and then students can repeat. This is less effective in preparing children not to feel bored in learning. Therefore there is a need for multimedia applications that can provide lessons that can be repeated over and over again in any place. Multimedia applications that are packaged in the form of android-based educational games contain about the pillars of Islamic Pillars. The research method used is Research and Development (R&D), which is a process used to develop and validate educational products including potential and problems, data collection, product design, design validation, design revisions, product trials, product revisions, trial trials, product revisions, mass products. This research resulted in the prototype design of the application SHOLEH CHILDREN ADVENTURE EDUCATION GAME. This will be further developed into a game application that can be used by students for learning and repetition of material related to Islamic pillars outside school hours.
LibGuides: KCAD Library - COVID-19 Update: Library Services - General

Updated information on library access and modified services Information about modified library services
L’Enseignement de la langue wapichana et les dialogues autour de la Covid-19

In order to alert speakers of indigenous languages to what is happening in the world in the context of Covid 19 and to make them understand it, but also to make a large number of people listen to the indigenous languages of Roraima, we worked to produce a series of videos. These were aimed at informing the indigenous people of the state of Roraima about the symptoms and ways to prevent the contagion of Covid 19. The material was recorded in the following languages: Macuxi, Taurepang, Pemom, Wapichana, Wai wai, Yanomami and Ye'kwana.
PERENCANAAN ULANG SALURAN DRAINASE BERWAWASAN LINGKUNGAN JALAN SEMPALWADAK – KREBET SENGGRONG KABUPATEN MALANG

Road drainage is needed to prevent inudation as on Sempalwadak – Krebet Senggrong road Malang Regency. The inundation occurs as a result of uneven drainage construction so that the road becomes damaged and can distrupt people’s activities. The existing purpose of this thesis is to design an environmentally drainage and drainage canal, evaluate the hydraulic aspects of the drainage and drainage buildings, calculate construction costs, and plan scheduling. The data needed are topographic maps, rainfall data from the 3 closest stations: Blambangan, Bululawang, and Tangkilsari in 2010 until 2019, and the price of the Malang Regency work principal in 2020. The data is processed using the Gumbel I method, suitability test with Chi-Square method, and Smirnov-Kolmogorov by a period of 10 years, rain intensity with the Mononobe method and design flood discharge with the Rationel method. The calculation result the design rainfall is 109.63 mm/day; design flood discharge of 3.0807 m/second; environmentaly drainage using infiltration wells with dimensions of 0.7 meters with a depth of 1.8 meters; channel dimensions of 1 m x 1.2 m; construction costs of Rp. 7,797,328,046.09; construction duration 90 days.
Few Trust Data Guided Annotation Refinement for Upper Gastrointestinal Anatomy Recognition

The performance of anatomy site recognition is critical for computer-aided diagnosis systems such as the quality evaluation of endoscopic examinations and the automatic generating of electronic medical records. To achieve an accurate recognition model, it requires extensive training samples and precise annotations from human experts, especially for deep learning based methods. However, due to the similar appearance of gastrointestinal (GI) anatomy sites, it is hard to annotate accurately and is expensive to acquire such high quality dataset at a large scale. Therefore, to balance the cost-performance trade-offs, in this work we propose an effective annotation refinement approach which leverages a small amount of trust data that is accurately labelled by experts to further improve the training performance on a large amount of noisy label data. In particular, we adopt noise robust training on noisy dataset with additional constraints of adaptively assigned sample weights that are learned from trust data. Controlled experiments on synthetic datasets with generated noisy annotations validate the effectiveness of our proposed method. For practical use, we design a manual process to come up with a small amount of trust data with reliable annotations from a noisy upper GI dataset. Experimental evaluations validates that leveraging a small amount of trust data can effectively rectify incorrect labels and improve testing accuracy on noisy datasets. Our proposed annotation refinement approach provides a cost effective solution to acquire high quality annotations for medical image recognition tasks.
온라인 통번역교육에 대한 교수자 인식 - 통번역대학원 사례 연구

The COVID19 pandemic has brought unprecedented challenges to T&I training with all regular T&I classes moving online. Against this backdrop, the purpose of this study is to shed light on the experiences and perceptions of the T&I trainers regarding the nation’s first-ever synchronous online T&I teaching and learning. Based on a questionnaire-based survey, the study examines how the trainers felt about their online classes offered real time via video-conferencing platforms such as Zoom and WebEx. The survey focuses on their preferred types of ICT resources, their perceptions about and satisfaction with the quality of the online classes they provide, and their preferences for modes of teaching (online, offline, or hybrid). The study found that the majority of the respondents prefer synchronous online teaching via video-conferencing platforms over traditional media such as PPT files and voice recordings and that their choice of teaching mode is a hybrid mode which allows real-life, face-to-face communication and interaction. The study concludes by discussing the advantages and disadvantages of online teaching identified by the trainers, as well as the implications for future research.
Analysis of Medical Mobile Application Based on Human and Computer Interaction (HCI) Principles

The development of mobile applications are currently very rapid and used to support daily activities. The spread out of mobile applications such as education, business, entertainment, games, including mobile health applications makes this continuously compete to improve each other's performance. One thing that can be used as a consideration to measure the performance and evaluation of mobile applications are evaluated based on the principles of human and computer interaction (HCI), such ashuman, technology, usability, and ergonomics. The results of the evaluation indicate that medical mobile apps, in general, have fulfilled the principle aspects of human and computer interaction so it is not surprising why this application is a popular medicalmobile application.
Research Guides: (ECC) Using the Ellsworth Community College Library: Call Numbers Made Easy

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Penggunaan Model Cooperative Learning Tipe Numbered Head Together Untuk Meningkatkan Minat Dan Hasil Belajar IPS Kelas IV SDN 17 Palaluar

The purpose of this study is to describe the increase in students interest in problem solving through the NHT model in social studies learning, to describe increasing students’ interest in making summaries through the NHT model in social studies learning in class, to describe increasing students’ interest in doing exercises through the NHT model in social studies learning and Indentifying increased student learning outcomes in explaining learning materials through the NHT model in social studies learning at SDN 17 Palaluar Koto VII District. This research isa quantitative research with correlational method. Sampling was done using cluster random sampling technique. The result showed that there was a positive relationship between interest and social studies learning outocomes for fourth grade students. The data showed that : the ability of students to solve problems from 60% to 85% making summaries increased from 62,59% to 77,50%, doing exercises increased from 72,50% to 92,50% and the ability to explain the subject matter increased from 65% to 85%. Based on the analysis and discussion of the research result, it can be concluded that social studies learning using the Numbered Head Together type Cooperative Learning model for fourth grade students at SDN 17 Palaluar can increase interest and social studies learning outcomes.
The Problems of Student Skimming in Learning Indonesian 5th Grade at SDN 02 Sariak

This Indonesian language has skills, one of which is skimming skills that must be mastered by students in elementary school at SDN 02 Sariak. In this study, it was found that the students of SD 02 Sariak in speed reading were found to be problematic in the form of internal and external factors from the students themselves. Speed reading has goals and benefits for students, one of which is to increase intelligence. The solution to overcome this problem is by providing an innovative library space, holding a speed reading competition by the school between classes.
The Role of Intercultural Communication Skills in Cultural Transforsmation for Student

The purpose of this paper is to describe the role of intercultural communication skills in cultural transformation for students. This paper uses a qualitative approach. The data analysis technique used is qualitative descriptive analysis. Culture has a huge influence on verbal language. Even culture also influences encoding and decoding in the communication process. In addition, culture also affects the structure of individual thought processes and non-verbal behavior. Intercultural communication is influenced by differences regarding the individual itself which includes individual personality, age and even physical appearance. Then it takes appropriate skills in conducting communication with different cultures so as not to cause disputes. So intercultural communication skill has a significant role in cultural transforming cultures for learners. This will foster love and motivation for students towards ancestral culture that does not deviate from Islamic law so it needs to be preserved. Even students also need to get teaching about intercultural communication skills thus able to accept and apply such expertise as the next generation of the nations
LibGuides: Academic Advising Resources: Course Registration

This LibGuide will serve as a repository for resources and information related to academic advising at KVCC.
Producción académica en la formación docente Experiencia educativa durante el COVID-19

This article presents the results of research developed at a Normal School in Nuevo León, Mexico. The main perspective is oriented by academic literacy in the initial training of teachers with support for knowledge processes through multiple literacy. In addition, a teacher group rescues the redesign of the elective course: Academic Text Production Workshop taught in the sixth semester of the bachelor's degree in preschool education and primary education. Research-action with educational intervention presents an educational experience in a practice community during the 2019-2020 school year. The action plan establishes teaching strategies with learning activities and evidence to know discursive genders; identify the different types of academic documents; search and select fonts; and implement an academic writing workshop through the design, elaboration, review and dissemination of written production. Among the main results is that academic literacy contributes to the development of egress profile competencies related to critical thinking to solve problems and make educational decisions. Among the conclusions is that, in the face of the emerging conditions of the pandemic, collegial work in the production of texts is assumed as a professional capital that strengthens the relationship between educational research and pedagogical practice. The final product of the elective course is aimed at the development of research blueprints for the modalities of qualification.