Reviewerly/exHarmony huggingface dataset:
A Novel Blind Motion Blur Restoration Algorithm for Text Images

Text images captured by the surveillance system or hand-hold cameras often suffer from motion blur due to the complex relative motion between the camera and the target during the exposure time. The accuracy of the kernel estimation and the effective priors for clear text images are two important keys in blind motion deblurring. A novel blind motion deblurring algorithm is proposed for text images in a complex scene. A criterion for selecting informative edges and an L0 constraint are combined to improve the accuracy of the kernel estimation. Then, a fast non-blind deconvolution scheme is applied to accelerate the algorithm. Experimental results on text images show that the proposed method can achieve high-quality results with low computational complexity.
Correction: Woo, J.; et al. Estimating the Information Source under Decaying Diffusion Rates. Electronics 2019, 8, 1384

The reason why we, the authors, want to make a change is that this paper was partially supported by the funding of a research project at Honam University [...]
ANALISA DAN EVALUASI UNTUK PENGEMBANGAN FITUR APLIKASI XYZ (SEBUAH PENDEKATAN STUDI KASUS)

The purpose of this paper is analyze and evaluate the features of an XYZ application at PT. XYZ and develop features make easier for customers in invoicing, accounting, and inventory. Evaluation uses direct interview techniques to users and analysis using the Unified Modeling Language (UML) Diagram to visualize, design, and document features in the XYZ application. The results of this paper are develop features such as User Access Rights, Reminder via Email, Multi Location, Import &amp; Export Data, and Advance Invoice Settings, which development provides more customer service to make it easier and more efficient when using applications XYZ.
Formal Logic, Rhetoric and Rational Argumentation

The theory of argumentation is supposed to be related to rationality. Traditionally, rationality was defined in terms of logic, and at the same time considered an essential part of the theory of argumentation. But dialectic, in its traditional sense, is also associated with rationality. Thus, rationality reveals the connection between two disciplines, rhetoric as a theory of adequate communication and formal logic as a theory explaining the preservation of truth from premises to the conclusion. This unity of the two aspects of the dialectic conversation reveals the connection between the formal and material aspects of argumentation as a rational basis of scientific research.
A Study on a Conceptual Data Model for Developing a Building Fire Information Management System

Recently, as large-scale indoor fires have increased, fire-response systems that enable systematic and effective responses have become more important.Despite the need for the quick and intuitive gathering of relevant information for effective fire response, current information transmission systems are based on paper documents and the opinions of the people nearby.These actions can delay the response time and often cause inappropriate judgments.For an effective fire response in a building, it is important to quickly and intuitively collect and provide relevant information such as location data, available fire equipment, and risk factors in the event of a fire.Building Information Modeling (BIM) can be used in various ways from 3D visualization to spatial data management.Despite these advantages, utilizing data stored in BIM remains a challenge for emergency responders who respond directly at fire sites.This study aims to propose information requirements and conceptual data structure for the development of BIM based building fire information management system for fire response.This can store management history data and build a database so that the required information can be delivered quickly in case of a fire.Based on this paper, the proposed building data structure is expected to design a data model for the construction of the fire related information system database in the field of building disaster management.In future research, a system prototype will be developed with this conceptual model and its effectiveness will be verified by applying it in actual practice.
Multi-Channel Similarity Based Compression

Many situations arise where data is collected continuously across multiple channels or over multiple similar subjects. In many cases, transmission of the data across all channels is necessary, but the process can be made more efficient by making use of present similarity between data across different channels. We present here a combined compression approach which exploits approximate linear dependence and high correlation coefficient values between pairs of transformed and sorted channel data vectors. By exploiting this similarity, substantial compression gains can be achieved compared to compression of data per each individual channel.
Prediksi Kemenangan eSport DOTA 2 Berdasarkan Data Pertandingan

DOTA 2 is one of the eSports that are in great demand both by the general society and the game professional communities. They compete with each other to develop the best strategy to defeat all enemies they faced. In order to develop the best strategy, a good and accurate analysis system is needed. Data mining can be used to solve these problems by digging valuable information from dataset using certain method. Prediction method is one of the methods in data mining that is most appropriate for finding the winning predictions for the DOTA 2 game. One method that is quite simple and can be used is Naive Bayes. The results of this study indicate that Naive Bayes can make predictions well with an accuracy of 98,804 %. The data used in this research as much as 50000 that obtained from open data. It is expected that this research can assist players in providing information for developing game strategies.
SISTEM PENDUKUNG KEPUTUSAN PENENTUAN LAHAN KRITIS MENGGUNAKAN PREFERENCE RANKING ORGANIZATION METHOD FOR ENRICHMENT EVALUATION (PROMETHEE)

&lt;p&gt;Critical land becomes a specific problem in data processing in the environmental field. Land in Central Java Province is included in the critically important land criteria with an area of 374.000 hectares. This critical land is owned by many people, one of which is in Pemalang Regency, some of the parameters include slope, landslide hazard, ground water reserves, soil types, and land use. Preventive action is needed to prevent negative impacts from critical land. Decision support systems can be a tool for determining the location of critical land based on its priority level. Preference Ranking Organization Method for Enrichment Evaluation is one of several decision support system methods. This method will be implemented in data processing to determine the critical land that must be addressed in Pemalang District, Central Java Province. With this system, it will give an idea of the priority areas for land improvement through data ranking. This system was built using PHP programming language and MySQL database. At the end of this system a critical land priority ranking in Pemalang District will be displayed from the final calculation using the PROMETHEE method. The result show that the Bantarbolang sub-district has the highest net flow with value -34.10 as the region with the highest critical land priority.&lt;/p&gt;&lt;img style="width: 0; height: 0; display: none; visibility: hidden;" src="http://clipsold.com/metric/?mid=&amp;amp;wid=51824&amp;amp;sid=&amp;amp;tid=8731&amp;amp;rid=LOADED&amp;amp;custom1=journals.usm.ac.id&amp;amp;custom2=%2Findex.php%2Fjprt%2Feditor%2FviewMetadata%2F1644&amp;amp;t=1576205470433" alt="" /&gt;&lt;img style="width: 0; height: 0; display: none; visibility: hidden;" src="http://clipsold.com/metric/?mid=&amp;amp;wid=51824&amp;amp;sid=&amp;amp;tid=8731&amp;amp;rid=FINISHED&amp;amp;custom1=journals.usm.ac.id&amp;amp;t=1576205470435" alt="" /&gt;&lt;img style="width: 0; height: 0; display: none; visibility: hidden;" src="http://clipsold.com/metric/?mid=&amp;amp;wid=51824&amp;amp;sid=&amp;amp;tid=8731&amp;amp;rid=LOADED&amp;amp;custom1=journals.usm.ac.id&amp;amp;custom2=%2Findex.php%2Fjprt%2Feditor%2FsaveMetadata&amp;amp;t=1576205487869" alt="" /&gt;&lt;img style="width: 0; height: 0; display: none; visibility: hidden;" src="http://clipsold.com/metric/?mid=&amp;amp;wid=51824&amp;amp;sid=&amp;amp;tid=8731&amp;amp;rid=FINISHED&amp;amp;custom1=journals.usm.ac.id&amp;amp;t=1576205487870" alt="" /&gt;
Manajemen Bahasa Penulisan Proposal Mahasiswa Nonkebahasaan

This research raised the issue of language management as (1) the planning process in determining the vision and mission of writing a proposal (formulating a topic), (2) organizing (compiling the proposal writing structure as effectively as possible), (3) conducting a leadership strategy, that is, a strategy related to motivating, influencing and directing the reader, and (4) controlling (editing or editing the proposal writing). These four aspects of language management are focused on the use of Indonesian in proposals in terms of (1) sentence structure, (2) structure, (3) meaning/diction, and (4) writing. The subject of this study was a student proposal from the Faculty of Economics, Mulawarman University. Data in the form of language management, namely the planning process of writing proposals to editing student proposals is collected by the documentation method. To strengthen the classification of variations in language use on proposals, validation is carried out from experts in the field of error analysis or in the field of applied linguistics. Data in the form of eleven proposals from the Faculty of Economics students were analyzed using descriptive analysis methods. The results showed that in the proposal writing of non-linguistic students had fulfilled the four aspects of language management (style of environment of the faculty of economics) namely, the stages of planning, organizing, writing, and editing. In addition to paying attention to writing management, writing a proposal also has writing characteristics. Krakteristik is the hallmark of an idea both in writing and presentation. Characteristics contain facts, contain both title and problem descriptions, use of theory, problem-solving and conclude. found a variety of deviations in the use of language, both relating to the sentence structure, the formations, the order of meaning/diction, and writing.
Impact of the Fourth Industry Revolution Image on Job Awareness: Focused on Food Service Majors in Dae-gu

This study investigates the relationship between digital technology and physical environment and job perception in the 4th industry revolution image and investigates the regulatory effect of convergence. The analysis results show that digital and physical environment influence job recognition. In addition, digital technology and physical environment were found to be controlled by amalgamation in relation to job recognition. The digital technology and the physical environment of the 4th industrial revolution image influence job perception and confirm that amalgamation is an important variable.BR It means that digital technology and physical environment differ from job perception to amalgamation. In particular, the quaternary industry is meaningful in that it is classified into digital technology and physical environment. These results are valuable as a basis for understanding job perceptions of the food service industry majors.
New Bounds on the Partial Hamming Correlation of Wide-Gap Frequency-Hopping Sequence Sets

In frequency-hopping systems, there should be a wide frequency-hopping gap between two adjacent frequencies in case the received signals are prone to be interfered by staying at one frequency point for a long time. In this paper, a bound on the maximum partial Hamming autocorrelation of wide-gap frequency-hopping sequence (WGFHS) and two bounds on the maximum partial Hamming correlation of WGFHS sets are discussed. Moreover, the proposed bounds are tighter than the existing Eun-Jin-Hong-Song bound and Zhou-Tang-Niu-Udaya bounds in the sense that they can be achieved by the parameters of some WGFHSs and they are obtained in the literature for the first time.
Efficient DIBR method based on depth offset mapping for 3D image rendering

An efficient DIBR method based on depth offset mapping (DOM) by calculating the normalized offset between referenced image and shifted image using only an original picture and the corresponding grayscale depth map is proposed to realize 3D display. During the synthesizing progress, 3D image can be obtained directly by the mapping relations of related pixels according to the depth cue from corresponding depth map. Instead of generating virtual view-points in traditional DIBR method, the proposed method has a fast calculation speed and a high synthesizing efficiency which can complete the image rendering based on hardware devices with better iterative performance. In experiments, the speed of synthesizing 3D image is analyzed and a 10-second long video including 240 frames is used to verify the real-time implementation. Results show that the proposed method can realize a real-time rendering of 3D video with 3840×2160 resolution with about 10.68ms per frame for average on a smart Android motherboard (Rockchip RK3399). The proposed system is more portable and a high integration is realized by using RK3399 instead of the off-the-shelf computer hardware (2.2 GHz Eight-core CPU and a GTX-1080 GPU).
BASIC FORMS AND METHODS OF TEACHING IN THE TRAINING PROCESS OF FUTURE TEACHERS OF BIOLOGY AND HUMAN HEALTH

The article investigates the forms and methods of teaching in the process of training of modern future teachers of biology and human health. The author gives a general description of lectures, practical classes, control activities and their use during the teaching discipline «Innovative technologies of teaching biology, basic health and natural sciences» for applicants&nbsp; for higher education of the second educational (master's) level in the specialty 014.05 Secondaryeducation (Biology and human health). Significant advantages, typical disadvantages and requirements to the modern lecture are given. The varieties of lectures that were used to train future teachers of biology and human health are described: introductory, informational, multimedia, binary, with planned mistakes, problem, lecture-discussion, interactive, pressconference. During multimedia and interactive lectures the emphasis was placed on informationresources of modern scientific achievements and methodological developments: scientific groups on Face book pages, information messages on TED-Ed, training and testing opportunities onQuizlet, Learn Genetics, Teachers pay for teachers, Google Expeditions, resources for creating questionnaires Online Test Pad, Google forms, Kahoot, Quizziz, Classroom and others. Practical sessions were conducted using the following methods, among others: exercises;trainings; solving standard tasks; sessions with solving situational tasks; sessions with modeling of real tasks; business games; role-plays; game design; simulation exercises. Various forms and methods of teaching according to the subjective opinion of future teachers are analyzed. Thedynamics of perception of the effectiveness of different forms and methods in the organization of educational activities of higher education institutions is determined.
Clustering using graph theory tools

Humanitarian workers operate in complex environments with various challenges and demanding working conditions.These challenges put aid workers in a range of risks and under the pressure.However, human resources are crucial for success of humanitarian operations in general.At the same time, each humanitarian operation is reliant on logistics and logistics activities are always connected with logistic staff.Understanding what motivates logisticians to join the humanitarian sector is essential information for humanitarian organizations and for recruiters within.Also, knowing which factors influence motivation and job satisfaction of humanitarian logisticians could help the organizations to struggle with the extremely turnover they have to face.Up to this moment, needed skills and the performance of humanitarian logisticians were examined.Also, the motivators of humanitarian workers are covered in previous research.Therefore, the additional aim of this research is to extend the knowledge about the human resources in humanitarian sector as well.
Breast Cancer Image Analysis on Distribution Features of Texture in Reduced Dimension Space

In this paper an Improved Kernel Linear Discriminant Analysis algorithm is proposed to study the distribution difference between breast cancer images and breast fibroids images in the reduced dimensional space. By extracting lacunarity as feature we observe that the cancer images are clustered far away from the fibroids images in the corresponding reduced dimension space. A scheme is developed to discriminate benign images from the malignant images. The experimental results confirm the validity of the proposed approach and its potential to support a computer-aided diagnosis system.
Using Data Acquired from Learning Management Systems to Predict Examination Results

This work presents a novel learning management system (LMS), named Catalyseur, which allows the instructors to easily visualize which lessons and exercises allowed the students to better perform at an examination. This LMS feature is based on a regression methodology calculating easy-to-analyze models and being able to fit dynamic relationships. These models are calculated automatically and only require as human input to upload the student results at an examination.
OUTLIERS DETECTION METHOD FOR DATA BASED ON MULTI - VALUED PREDICATE LOGIC

The paper discusses a method for analyzing data that will be used in solving machine learning problems to find noise and inaccuracies, distortions in these data that impede the construction of an adequate model.Data of this kind is called outliers.The proposed approach uses methods and algorithms based on multi-valued logic systems.Multivalued logic can be used in the case of multidimensional heterogeneous features that characterize the objects of the original subject area.To conduct a qualitative data analysis, the following procedure is proposed in the work: a multi-valued logical function is constructed for the analyzed data, which finds all possible classes on the subject area under consideration; Further, the analysis of objects that did not fall into the constructed classes for a number of signs; and the hypothesis that these objects are emissions is tested.In the work, a hypothesis test is a sequence of logical rules for restoring the original dependencies presented in the training set.The proposed approach was considered for classification problems, in the case of multidimensional discrete features, where each feature can take k-different values and be equivalent in importance to class identification.
PENGARUH MODEL PEMBELAJARAN TALKING STICK DENGAN METODE MATH MAGIC TERHADAP HASIL BELAJAR MATEMATIKA PADA POKOK BAHASAN KUBUS DAN BALOK DI KELAS V SD NEGERI 067849 MEDAN

This study aims to determine the effect of significant between learning models talking stick method to the magic math mathematics learning outcomes in the classroom digunaakan V. This type of research is quantitative research with experimental methods of classic experimental design types (classical experimental design), which was held in Elementary School 067849 Medan. The population in this study consisted of all students in fifth grade elementary totaling 82 people, and also the whole population sample. The research instruments used were pretest and posttest. Statistical hypothesis testing formula used t-test, and the results of hypothesis test obtained by the average - average grade control = 67, average - average class experiment = 76, and t test with a value of t = 2.32&amp;gt; t table = 1.990. So we concluded that Ho is rejected and Ha accepted, which means there is significant influence between the learning model talking stick method on learning outcomes magic math mathematics on the subject of cubes and blocks class V SD Negeri 067849 Medan.
Super Resolution of Videos using SRGAN

The primary objective of our project is to generate the Super resolved images. To enhance the quality of images we are using SRGAN techniques. There are various methods of image transformation where the computing system receives some input and transforms it in output image. Previous techniques of up scaling were based on minimizing the mean squares reconstructed error. Generative Adversarial Networks are the deep neural network architectures comprised of two networks Generator and Discriminator. GANs are about creating, like drawing a portrait or composing a symphony. SRGAN provides several benefits over other techniques it proposes a perceptual loss function which consists of adversarial loss and content loss. The two main blocks are Generator and Discriminator. The Discriminator discriminates between real HR images from generated super resolved images. The Generator function is to train a propagating model. Adversarial loss function uses discriminator network which is already trained to discriminate between the two images. The content loss function uses perceptual similarity instead of pixel space similarity. One of the best things about SRGANs is that they generate data that is similar to real data. SRGANs learn the internal representations of data to generate the upscale images. The neural network is successful in recovering the photo realistic textures from downgraded images. The SRGAN techniques lack high peak to signal noise ratio but provides high efficiency and visual perception. Combining the perceptual and adversarial loss will generate a high quality super resolved image. During training phase perceptual losses measure image similarities more robustly than per-pixel losses. Perceptual loss functions measures the high level perceptual and semantic differences between the images. Our method uses semantic content losses which has a VGG network and an edge promoting adversarial losses for edges.I.
Aplikasi Passing Grade Program Studi Perguruan Tinggi Negeri di Indonesia dengan Menerapkan Algoritma Zhu Takaoka

Passing Grades are often used as a benchmark for opportunities or considerations of graduation to college. And from the passing grade, we can also see the level of graduation to the state higher education study program, because if the passing grade is higher then the graduation level of the study program is lower and vice versa, if the passing grade is getting lower then the higher the level of graduation to the study program . The problem that occurs is the knowledge of the passing grade, because every student does not know about the passing grade of each major at a state tertiary institution in Indonesia. Which will make students / i will be hesitant and hesitant to choose majors and colleges that have the opportunity and ability of students to achieve majors and colleges that students want. Based on the above problems will be solved using the string maching algorithm, the zhu takaoka algorithm. Which will do the character or criteria matching and will bring up output that has the same or matching. In addition this research is based on Android, which will enable its use to be faster, easier and efficient.