Reviewerly/exHarmony huggingface dataset:
Application of Knowledge Management System for Cattle Cultivation

Cow are family animal bovinae and subfamily bovidae. Cow are raise for use in meat and milk. Beef production does not fullfill National beef demand. This is influenced by several factors, one of them is the cultivation pattern. But knowledge about cultivation is still scattered and unstructured. Knowledge Management System (KMS) offer a knowledge system that can be used to create, collect, store, maintain and disseminate knowledge. In this study KMS has been applied to cattle farming with the Knowledge Management System Life Cycle (KMSLC) method. The outcome of the research is a web based application regarding the management of cattle farming that have been tested by experts and users with an average test results stated good. The features of this KMS application are knowledge capture, knowledge sharing and knowledge application system, so they can share knowledge between one user and another. In addition, this application is equipped with a discussion forum that serves as a place to interact between fellow users or with experts.
Improving precision of objective image/video quality metrics.

Although subjective tests are most accurate image/video quality assessment tools, they are extremely time demanding. In the past two decades, a variety of objective tools, such as SSIM, IW-SSIM, SPSIM, FSIM, etc., have been devised, that well correlate with the subjective tests results. However, the main problem with these methods is that, they do not discriminate the measured quality well enough, especially at high quality range. In this article we show how the accuracy/precision of these Image Quality Assessment (IQA) meters can be increased by mapping them into a Logistic Function (LF). The precisions are tested over a variety of image/video databases. Our experimental tests indicate while the used high-quality images can be discriminated by 23% resolution on the MOS subjective scores, discrimination resolution by the widely used IQAs are only 2%, but their mapped IQAs to Logistic Function at this quality range can be improved to 9.4%. Moreover, their precision at low to mid quality range can also be improved. At this quality range, while the discrimination resolution of MOS of the tested images is 23.2%, those of raw IQAs is nearly 8.9%, but their adapted logistic functions can lead to 17.7%, very close to that of MOS. Moreover, with the used image databases the Pearson correlation of MOS with the logistic function can be improved by 2%-20.2% as well.
PENGARUH PENGGUNAAN MODEL PEMBELAJARAN SQ3R TERHADAP KETERAMPILAN MEMBACA PUISI PADA SISWA KELAS VIII SMP MULIA BOGOR

This Article is the result of a study in the application of the learning model. The purpose of this study was to determine the effect of the SQ3R learning model on poetry reading skills in class VIII students of SMP Mulia Cibungbulang Bogor. This research method is an experimental method. Based on the results of the test calculation, the value of tcount is 3.032 and ttable is 2.048 with a significant level of 0.05. So it can be stated that the hypothesis H1 is accepted and H0 is rejected. So the conclusion of this study is that there is a significant influence between the SQ3R learning model on reading poetry in class VIII students of SMP Mulia Cibungbulang Bogor.
Forensic Science and the Principle of Excluded Middle: 'Inconclusive' Decisions and the Structure of Error Rate Studies

In a paper published recently in this journal, Dror and Scurich (2020) [20] critically discuss the notions of “inconclusive evidence” (i.e., test items for which it is difficult to render a categorical response) and “inconclusive decisions” (i.e., experts’ conclusions or responses) in the context of forensic science error rate studies. They expose several ways in which the understanding and use of “inconclusives” in current forensic science research and practice can adversely affect the outcomes of error rate studies. A main cause of distortion, according to Dror and Scurich, is what they call “erroneous inconclusive” decisions, in particular the lack of acknowledgment of this type of erroneous conclusion in the computation of error rates. To overcome this complication, Dror and Scurich call for a more explicit monitoring of “inconclusives” using a modified error rate study design. Whilst we agree with several well-argued points raised by the authors, we disagree with their framing of “inconclusive decisions” as potential errors. In this paper, we argue that referring to an “inconclusive decision” as an error is a contradiction in terms, runs counter to an analysis based on decision logic and, hence, is questionable as a concept. We also reiterate that the very term “inconclusive decision” disregards the procedural architecture of the criminal justice system across modern jurisdictions, especially the fact that forensic experts have no decisional rights in the criminal process. These positions do not ignore the possibility that “inconclusives” - if used excessively - do raise problems in forensic expert reporting, in particular limited assertiveness (or, overcautiousness). However, these drawbacks derive from inherent limitations of experts rather than from the seemingly erroneous nature of “inconclusives” that needs to be fixed. More fundamentally, we argue that attempts to score “inconclusives” as errors amount to philosophical claims disguised as forensic methodology. Specifically, these attempts interfere with the metaphysical substrate underpinning empirical research. We point this out on the basis of the law of the excluded middle, i.e. the principle of “no third possibility being given” (tertium non datur).
Emotional Data Mining and Machine Learning in College Studentsâ€™ Psychological Cognitive Education

Emotion analysis method in AI technology can quickly and effectively analyze the emotions in text, and it is an important way to identify the emotional information of studentsâ€™ feedback text. In this paper, the author analyzes the application of emotional data mining and machine learning in college studentsâ€™ psychological cognitive education. Result shows that there is a relationship between Academic Emotion and studentsâ€™ learning achievement. Using artificial intelligence technology to discover Academic Emotion in educational texts can more easily understand studentsâ€™ learning behavior and solve studentsâ€™ psychological problems. Through the use of computer access and mobile terminal access to the two access methods, psychological test system provides a variety of choices for teachers and students. Therefore, applying the mobile terminal to the psychological testing work hasexerted the portability advantage of the mobile terminal, so that the psychological testing work can be performed anytime and anywhere, which not only facilitates the teachers and students, but also improves the work efficiency.Keywords: data mining; Machine learning; Psychological cognition; Neural networkCite AsX. Shi, Emotional Data Mining and Machine Learning in College Studentsâ€™ Psychological Cognitive Education, Engineering Intelligent Systems, vol. 27 no. 4, pp. 167-175, 2019.
Health Care Chatbot on Covid-19 using PHP

Normally Users are not aware about all the treatment or symptoms regarding the particular disease. For small problem user have to go personally to the hospital for check-up which is more time consuming. Also handling the telephonic calls for the complaints is quite hectic. Such a problem can be solved by using medical Chabot by giving proper guidance regarding healthy livingThe Chatbots are the computer programs that interact with the user. The unprecedented outbreak of the 2019 novel coronavirus, termed as COVID- 19 by the World Health Organization (WHO). The impact of the COVID-19 outbreak, earlier witnessed by the citizens of China alone, has now become a matter of grave concern for virtually every country in the world. People who are overweight and obese have a greater risk of developing serious diseases and health conditions. A steadily increasing trend of obesity is not only limited to developed countries, but to developing nations as well. Based on the user data acquired from healthcare chatbot the healthcare chatbot can provide the accurate medical advice to user.This chatbot contains modules such as interactive chatbot, Body mass ratio, Age calculator, corona tracker
Signatures with Tight Multi-User Security from Search Assumptions.

We construct two tightly secure signature schemes based on the computational Diffie-Hellman (CDH) and factoring assumptions in the random oracle model. Our schemes are proven secure in the multi-user setting, and their security loss is constant and does not depend on the number of users or signing queries. They are the first schemes that achieve this based on standard search assumptions, as all existing schemes we are aware of are either based on stronger decisional assumptions, or proven tightly secure in the less realistic single-user setting. Under a concrete estimation, in a truly large scale, the cost of our CDH-based scheme is about half of Schnorr and DSA (in terms of signature size and running time for signing).
TIC y enseñanza de ciencias: percepciones del profesorado en formación

espanolLa ensenanza de las ciencias – como de cualquier otra disciplina – resulta cada vez mas dificil de concebir sin las Tecnologias de la Informacion y la Comunicacion. Para poder realizar una adecuada integracion pedagogica, que maximice su impacto (o simplemente lo garantice), debe entrenarse de modo expreso al profesorado en formacion. Los modelos SAMR (Puentedura, 2012) y TPACK (Koehler y Mishra, 2009) son muy utiles para introducir este concepto en la formacion inicial o continua y, sin embargo, sin un contraste con la practica de aula, resultan insuficientes para que el alumnado pueda evaluar o predecir el impacto de sus propuestas de inclusion de TIC. La formacion inicial deberia proporcionar un contacto mas estrecho con la practica para aumentar su efectividad. EnglishScience teaching - as it is the case for other disciplines - is increasingly difficult to conceive without Information and Communication Technologies. To be able to carry out an adequate pedagogical integration, which maximizes the impact of ICT (or simply guarantees it), pre-service teachers need purposeful training. The models SAMR (Puentedura, 2012) and TPACK (Koehler & Mishra, 2009) are very useful to introduce this concept in the initial or continuous training and, however, without a contrast with the practice of the classroom, are insufficient for the students to evaluate or predict the impact of their proposals including ICT. Initial training should provide closer contact with the practice to increase its effectiveness.
INFLUENCE OF PEDAGOGICAL ASSESSMENT ON IMPROVEMENT OF QUALITY OF EDUCATION

This article discusses the importance of the competent implementation of pedagogical technologies by the teacher, also describes the concept of pedagogical assessment and describes the importance of its application, in the context of democratization of the educational process. The difference between the score and the mark is highlighted. A brief description is given of the styles of pedagogical communication, where the democratic style acts as the most favorable for teaching. Also, a characteristic of psychological features of 11 children of secondary school period is given. This work is supported by a study on the impact of the mark on the child and brief results on it.
MUNICIPAL CORPORATION COMPLAINT MANAGEMENT SYSTEM USING WEB APPLICATION

This project is mainly based on the domain (Web Application Development). The common people under the jurisdication of municipal corporation have to deliver their grievances about day to day problem in their ward. In India we don’t have any direct communication between the government and public in an efficient way for solving the problems. A web application is proposed to overcome their problem by delivering the grievances to the government. It will provide a common man to deliver his complaints and problems to municipal authority as well as let the municipal authorities to address the problem in a short period of time. It act as interface to register one’s complained and follow it up and also it provides a complaint module which helps clicking up a picture of any problem that people are facing and upload its image, text information and location along with the complaint. In addition to that it also includes the online discussion forums and feedback forms which will help them to communicate well with the government and then how effectively the funds are utilized for the development purpose can be known by Public.
A Study on the Environment and Improvement of Korean Language Major in Chinese University -Focused on Interviews with Chinese University Professors and Students-

The purpose of this study is to identify the problems of Korean language majors in Chinese universities and to suggest ways to improve them. It focused on how to cooperate with Korean companies and universities. The study was conducted by classifying and analyzing interviews with professors of Korean language majors at Chinese universities and Korean language majors at Chinese universities studying in Korea. First, it is necessary to closely link with Korean universities to secure excellent professors and acquire doctoral degrees. A Korean university can consider a degree course in a convergence major. It is possible to improve not only the Korean level but also the degree of understanding of Korea, thereby solving the diversity and quality of education. Second, it is to provide opportunities to practice Korean. The poor Korean language practice conditions negatively affect the career path of Korean majors after graduation, so improvement is urgently needed. It supports the connection between companies and this Korean language major. Through this, it is possible to grasp social demand and incorporate it into the curriculum, enabling practical training. It can increase the competitiveness of Korean language majors as it is consistent with China’s educational reform. Third, it is the provision of educational contents. Support for Korean universities and institutions to produce digital textbooks and provide them online, and to use Korean images as textbooks. In reality, it is the best way to learn Korean-style Korean, and it is also a way to establish standards for Korean language education led by Korea. Since it is not only for Chinese students, it can increase the cost-effectiveness.
Differentiating the Value Function by using Convex Duality

We consider the differentiation of the value function for parametric optimization problems. Such problems are ubiquitous in Machine Learning applications such as structured support vector machines, matrix factorization and min-min or minimax problems in general. Existing approaches for computing the derivative rely on strong assumptions of the parametric function. Therefore, in several scenarios there is no theoretical evidence that a given algorithmic differentiation strategy computes the true gradient information of the value function. We leverage a well known result from convex duality theory to relax the conditions and to derive convergence rates of the derivative approximation for several classes of parametric optimization problems in Machine Learning. We demonstrate the versatility of our approach in several experiments, including non-smooth parametric functions. Even in settings where other approaches are applicable, our duality based strategy shows a favorable performance.
Simulation Of Traveling Salesman Problem For Distribution Of Fruits In Bogor City With Simulated Annealing Method: Simulation Of Traveling Salesman Problem For Distribution Of Fruits In Bogor City With Simulated Annealing Method

Traveling Salesman Problem (TSP) is a problem of finding the shortest distance when a salesman visits a number of cities, provided that each city is visited exactly once and then returns to the initial city. TSP simulations for fruit distribution in Bogor city with each location having x and y coordinates as distances. The TSP used is a symmetrical TSP whose distance from city a to b has the same distance as city b to a. To solve and find solutions to problems using the Simulated Annealing (SA) Algorithm. The working principle is that at high temperatures metal liquid particles have a high energy level so it is relatively easy to move against other particles. Then as the temperature drops the particle slowly adjusts itself to form a configuration so that a stable state with a minimum energy level is obtained. This minimum energy is the shortest distance. Based on experiments that have been done using SA Algorithm on the TSP problem, the results show that the number of iterations that produce the optimal solution depends on the number of simulated locations. The more simulated location points, a large number of iterations are needed.
시선추적을 통해 살펴본 대학생 영어학습자들의 복합명사구 수식절 문장처리

Eye-tracking approach allows us to collect and analyze data for a wide range of measures of eye-movements, to relate these to language processing, and to have insight of language processing (Conklin, Pellicer-Sanchez, and Carrol, 2018). The current study aims to investigate how ESL university students process the sentences with complex noun phrases modified by relative clauses. Two types of sentences with complex noun phrases were examined: complex noun phrases modified by relative clauses located in a sentence subject (syntactic-based processing) and those located in a sentence object (semantic-based processing). In total, 32 EFL university students participated in this study. Fixation count, regression rate, first reading time, and total reading time of areas of interest were examined. The eye-tracking results showed that the participants showed significantly higher regression rates on noun 2 than noun 1 in both types of complex noun phrases. In terms of verb selection, however, the results showed contrasting aspects : noun 1(verb 1 selection) preference in syntactic-based processing whereas noun 2(verb 2 selection) preference in semantic-based processing,
Cloud - Guaranteed And Secure Access To Your Data

This article gives you a brief overview on cloud technology and its services. Simply put, the cloud is a guaranteed and secure access to our personal information at all times. There is no doubt that cloud technology is one of the most popular and exciting topics in the IT industry today, and more and more interesting solutions are emerging. The future of cloud technology is very bright. Because giants like Microsoft, Apple and Google have done and are doing a lot of work in this area. Today, the benefits of cloud technology can be felt even by people who are not related to software, web technology and other things. The article also provides information about the services of Microsoft and Google. In general, the article provides information on the effective use of various hardware, software, methodologies and tools provided to users of cloud technologies as Internet services to achieve their goals, objectives, projects.
Library Home Page: Geography: E-Books

The Geography library guide has links to various websites that can help you with your research whether you're looking for books, e-books, web resources, maps, statistics, streaming videos, or encyclopaedia or journal articles.
Time Evolution of a Device for Remote Detection on Atomic Spin Chains using Matrix Product States

In this thesis the matrix product state(MPS) formalism is applied to simulate a device created for remote detection in atomic spin chains. Although simulation of the full device quickly becomes infeasible for direct algorithms, MPS allowed for highly accurate simulations while requiring only modest computational resources. It has been verified that the simulation conserves energy and maintains normalization. Furthermore, the simulation is shown to successfully perform both a coherent real-time evolution and iteration towards the ground state. Thus MPS is a very promising tool that has potential to serve as a guide for further experiment as well as a tool to understand experimental results.
Explicit Regularization of Stochastic Gradient Methods through Duality.

We consider stochastic gradient methods under the interpolation regime where a perfect fit can be obtained (minimum loss at each observation). While previous work highlighted the implicit regularization of such algorithms, we consider an explicit regularization framework as a minimum Bregman divergence convex feasibility problem. Using convex duality, we propose randomized Dykstra-style algorithms based on randomized dual coordinate ascent. For non-accelerated coordinate descent, we obtain an algorithm which bears strong similarities with (non-averaged) stochastic mirror descent on specific functions, as it is is equivalent for quadratic objectives, and equivalent in the early iterations for more general objectives. It comes with the benefit of an explicit convergence theorem to a minimum norm solution. For accelerated coordinate descent, we obtain a new algorithm that has better convergence properties than existing stochastic gradient methods in the interpolating regime. This leads to accelerated versions of the perceptron for generic $\ell_p$-norm regularizers, which we illustrate in experiments.
CIF AUTOMATION SYSTEM

Analysis of CO attainment level isperformed by every university and the result isdirectly analysed w.r.t “Attainment EvaluationCriterion” provided by the University. Afterobtaining the attainment value of course outcomeif the attainment value of any individual COattainment level or course level CO is not abovethe threshold then the individual CO and itsrespective AM is identified and a correctiveaction plan is prepared. We intend to propose asystem that will contribute to evaluate theattainment of the Course outcomes (COs),Program outcomes (POs) and Program specificoutcomes (PSOs). The weightage of courseoutcome w.r.t Assessment Methods (AMs), itsmapping with Program outcomes and ProgramSpecific outcomes will be mentioned in CourseInformation Form (CIF) System.
Combining Physics with Machine Learning: Case Study of Shape from Polarization

Author(s): Ba, Yunhao | Advisor(s): Kadambi, Achuta | Abstract: Shape from Polarization (SfP) recovers an object's shape from polarized photographs of the scene. In previous works, the SfP algorithms use idealized physical equations to recover the shape. These previous approaches are error-prone when real-world conditions deviate from the idealized physics. In this thesis, we propose a physics-based neural network to address the SfP problem. Our algorithm fuses deep learning with synthetic renderings (derived from physics) to exceed the quality of all previous SfP methods. A two-stage encoder is used to resolve the longstanding problem of ambiguities. Our results of surface normal recovery are an improvement upon methods that utilize physics-based solutions alone.