Reviewerly/exHarmony huggingface dataset:
Low-light images enhancement method in coal mine based on knowledge distillation

In order to solve the problems of low illumination and poor image quality in video monitoring systems caused by complex lighting conditions in underground mines, a low-light image enhancement method based on knowledge distillation is proposed.By establishing Net-S (student network) and Net-T (teacher network) for feature simulation, this method improves the image reconstruction ability of the model while transferring knowledge and improves the network efficiency and image enhancement effect at the same time.The improved RIR (residual in residual blocks) module is added to improve the feature extraction ability of the model.At the same time, the loss function for low illumination image characteristics is designed to improve the accuracy of the network model in image reconstruction. Compared with the traditional knowledge distillation network model, Net-T and Net-S of the model output different images respectively. Net-T extracts features from high-quality images. Net-S simulates features under the guidance of Net-T, and finally obtains enhanced images. The experimental resultsshow that the model can effectively remove part of the noise, improve the brightness and quality of the image, and improve the visual effect of the image.Moreover, the model has good generalization ability.Compared with CLAHE and LIME, the absolute cumulative change of the normalized objective index of this method is increased by 42.21%, 7.47% and 30.18% respectively.In view of the low illumination image enhancement of the mine, this method has certain advantages, which can significantly improve the overall brightness of the image, reduce the noise, and is more in line with the human visual perception.To a certain extent, it meets the needs of the construction of intelligent mine video monitoring system.
Mechanisms for the formation of interest in learning among primary school children

The problem of the formation of cognitive interest in junior schoolchildren is one of the urgent problems of modern pedagogy. The development of a child's cognitive interests in the process of his education in the lower grades is one of the most important factors in the success of learning. Cognitive interest in schoolchildren needs to be formed and developed. In primary education, the formation of cognitive interest has its own characteristics.
LibGuides: Library Technology Resources: Recording Studio

User manuals, troubleshooting and other documentation for virtual reality system, One Button Studio, etc.
Real-Time Social Distancing Alert System Using Pose Estimation on Smart Edge Devices

This paper focuses on developing a social distance alert system using pose estimation for smart edge devices. Recently, with the rapid development of the Deep Learning model for computer vision, a vision-based automatic real-time warning system for social distance becomes an emergent issue. In this study, different from previous works, we propose a new framework for distance measurement using pose estimation. Moreover, the system is developed on smart edge devices, which is able to deal with moving cameras instead of fixed cameras of surveillance systems. Specifically, our method includes three main processes, which are video pre-processing, pose estimation, and object distance estimation. The experiment on coral board, an AI accelerator device, provides promising results of our proposed method in which the accuracies are able to achieve more than 85% from different datasets.
Rule-based modelling for adaptive complex infrastructure planning

&amp;lt;p&amp;gt;Dealing with uncertainty in infrastructure planning is a challenge. Planning decisions need to be made in face of unknown future condition, and, in the meantime, it is essential that they are flexible enough to be adapted as new information unfolds. This indeed is important for multi-sector decision making where the complexity of the interconnected system and the uncertainty thereof hinders the modelling and analysis. Multistage stochastic optimisation provides a mechanism to incorporate these two attributes into planning decisions. However, its expensive computation as well as the appropriateness of its sequential decisions beyond the first few stages reduce its implementability. We introduce `Decision Rule' as a way to approximate the multistage problem, where the decisions at each stage are functions of the system complexity and the future uncertainty. We introduce a family of linear, polynomial, conditional if-then based rules and show how they approximate the multistage stochastic problem. We investigate their implications for urban water demand and supply network planning problem. Further we discuss some state-of-the-art and emerging tools for increasing the accuracy of the rules.&amp;lt;/p&amp;gt;
An Improved Ridge Regression-Based Extreme Learning Machine for the Prediction of Diabetes

Das, Priya Nanda, SaritaDiabetes mellitus is a very serious human health problem. Every year the total number of cases is increasing rapidly. The advancement in the machine learning technologies can help in early and accurate detection of the disease. Therefore, an efficient and very fast diabetes prediction model is proposed in this paper using ridge regression extreme learning machine classifier and firefly optimization algorithm for the optimization of the weight vectors. The PIMA Indian Diabetic Database is used for the training and testing of the model. The maximum achieved accuracy, sensitivity and specificity are 93.4%, 97.5% and 85.72%, respectively. The results of the model are compared with two popular methods, support vector machine (SVM) and extreme learning machine (ELM), and it shows that the proposed method outperforms SVM and ELM.
Library Guides: CJS 190: Introduction to Crime and Justice Studies: Cite with APA

This guide is for students in Professor Baboolal's Introduction to Criminal Justice Studies class and any CJS student new to the discipline. Use it to introduce yourself to the discipline and to locate high quality news and research resources.
Utterance Emotion Estimation by Using Feature of Syntactic Pattern

Emotion has been defined as basic emotions by various researchers, however, there are not many studies describing the relation between emotion and language patterns in detail based on statistical information. There are various languages all over the world, and even a language of the same country has different writing styles/expressions depending on which language media is used or who is a writer/speaker, which is thought to make it difficult to analyze the relation of emotion and language patterns. The author has been engaged in constructing and analyzing emotion corpora in some domains based on different sources. From the analysis results, emotion expressions started to become more understood that they have differences and tendencies according to the attributes of the writers and the speakers. In this chapter, I focused on the differences detected in the attributes of the writer/speaker with respect to language patterns; in usage tendencies or combinations of words, unknown expressions (slangs), sentence patterns, non-verbal expressions (emoji, emoticon, etc.) with relevant emotions, then introduce the outcome of the analytical survey on a large scale corpus obtained from a social networking service.
Assessing EFL Students’ Direct and Indirect Speech Mastery

The present study was aimed to assess Direct and Indirect Speech Mastery of the Senior High School Students of Piloting School in Gianyar. The study was intended to find out to what extent is the assessing direct and indirect speech mastery of the eleventh grade students. The study used an ex-post facto research design or non-experimental research design. In order to answer the research question, the data required for the study were collected by administering the research instruments in the form of transformation test items. The population of the study is the eleventh grade students of Piloting School consisting of 184 students all together. There were 40 students determined as the sample of the study by using systematic random sampling method. The results of the data analysis that were analyzed by using norm-reference of five standard values clearly showed(1) There were 4 subject (10%) who showed excellent assessment of direct and indirect speech, (2) 7 subjects (17,5%) who showed good assessment, (3) 15 subjects (37,5%) who showed sufficient assessment, (4)12 subjects (30%) who showed insufficient assessment, (5) 2 subject (5%) who showed poor assessment. In general, these research findings showed that assessing direct and indirect speech mastery of the eleventh grade students of Piloting School in Gianyar was sufficient.
DECOMPOSITION METHOD FOR MODELING AND RESEARCH OF PULSE-FREQUENCY CONTROL SYSTEMS

The pulse-frequency control systems are widely used in radar, space industry, for control of technological processes and robots and many other areas. Today, there are various approximate and accurate methods for the analysis and synthesis of pulse-frequency systems (PFS). However, the area of the practical application of the existed methods is mainly limited to single-variable systems. The classical methods provide the consideration of the initial structures of pulse-frequency systems as a whole. This article proposes the decomposition method for modeling and research pulse-frequency automatic control systems. The method is based on the mathematical apparatus of signal-flow graphs. We can use the method for analysis and synthesis of both single-variable and multivariable automatic control systems with pulse-frequency modulation
Library Guides: A Faculty Guide to Kanopy Streaming Video: Check Expiration Dates for Kanopy Licenses

How faculty can find, request, and link to Kanopy streaming videos, and also check license expiration dates.
LibGuides: Philosophy: Websites

Students taking philosophy classes will find this guide helpful in their pursuit of finding helpful resources that Harper College Library has to offer.
Improving Students’ Reading Comprehension Through Webtoon Application At MTs Az-Zuhri Tanjung Morawa

The research was intended to find the authentic materials that improving toincrease the reading comprehension. The subject of this research was the class VIIA of MTs Az-zuhri.There were 36 students as the samples used in this thesis.Theresearch method used was Classroom Action that done in two cycles. The data wereanalyzed qualitatively and quantitatively. In qualitative data was got throughinterview, and observation. For the quantitative data was got through pre-test andpos-test. Based on the qualitative data that found, the using of Webtoon Applicationcan improve studenst‟ responses in reading comprehension. It can be seen in theresult of test. In the first cycle, it consist of two meetings. In the first meeting, thestudents‟ result percentage was 32,5 % (enough) and for second meeting, thestudents‟ result percentage was 63,8 % (good). In the second cycle the students‟score was 83,3% (Very good). This score showed that the students‟ average scorewas improving in every test. The students‟ average score in pre-test was 13 of 36students (32,5 %). The percentage of the students‟ who got the score 70 and morein the posttest I was 23 of 36 students (63,1 %). The percentage of the students‟who got the score 70 and more in the post-test II was 30 of 36 students (83,3 %).The improvement of the competent students percentage from the pre-test to thepost-test I was icrease, it is about 50,6 %, from post-test I to post-test II was 20,2%, pre-test to post-test II was 50,8%. From the data,it showed that the improvingof the students‟ reading skill was significant.The results of the research show thatusing Webtoon Application can improve to the students‟ reading comprehension.
CIVILIZATIONAL EDUCATIONAL PARADIGM AS A BASIS FOR MODERNIZING EDUCATION IN RUSSIA

Nowadays, it is possible to set target guidelines for education in Russia. The amendments to the Constitution of the Russian Federation adopted in 2020 and the additions to the Law of the Russian Federation On Education have created a methodological basis for a broad discussion of a new educational paradigm. The Constitution of Russia and the Law of the Russian Federation On Education set a number of new imperatives based on traditional Russian values, which constitute amentalvalue core of the Russian civilization. The article substantiates the need for the transition of Russian education from the previousWest oriented model of modernization, which wasset by the Bologna process, to a new paradigm of education based on the values of the Russian civilization. To overcome the permanent crisis in modernizing Russian education, it is necessary to use the sociocultural phenomena of the millennial Russian civilization, to create on this basis pedagogical concepts, which would allow achieving a particular optimum of combining national educational traditions and innovations that have been brought forth byinformation technologies.
Attention-aware Inference: Generating Summarization Texts According to Attention Distributions

This paper proposes a novel inference algorithm for seq-to-seq models. It corrects beam search step-by-step via the optimal attention distribution to make the generated text attend to source tokens in a controlled way. Experiments show the proposed attention-aware inference produces summaries rather differently from the beam search, and achieves promising improvements of higher scores and greater conciseness. The algorithm is also proven robust as it remains to outperform beam search significantly even with corrupted attention distributions.
A Functional View of Hybrid-Cloud Environment – Use Cases and Best Practices

Hybrid-Cloud Environment is a promising area of research, considering the greater flexibility and agility that it provides to businesses for moving their workloads and applications onto the cloud environment, as business requirements and budgets fluctuate. Governments, nonprofits, educational institutions, Product and Service Oriented Companies are all leveraging a hybrid-cloud deployment model to modernize their Information Technology (IT) platform, improve service availability, expand IT capacity, build highly reliable, resilient fault tolerant applications, systems and infrastructure on cloud and innovate faster. This paper discusses best practices on how organizations can seamlessly integrate their on-premises infrastructure with cloud native solutions from various cloud vendors for extending and optimizing their hybrid-cloud environments. In response to the complexities involved in the hybrid-cloud deployment, the work in this paper also discusses some of the popular use cases and how organizations can leverage cloud analytics, artificial intelligence tools and scalability of the cloud whilst also maintaining greater control and operational flexibility over their data for compliance purposes.
Application of Human Disease Diagnosis System Transmitted by Mosquito Vector Using Forward Chaining Method

Disease is very easy to find in tropical countries including Indonesia. The skin itself is the most outermost organ that is easily attacked by the skin because the skin itself is an organ that is used to protect the internal organs. Many people do not consider how dangerous the skin disease is if it is not treated. Therefore, it is expected that with the advancement of technology, it can prevent the occurrence of skin diseases that can attack the community. In the research I did, I used the Forward Chaining Method. The system that I created is Web-based, where the system will issue a number of questions in the form of skin symptoms experienced by the user or patient and later when the patient has finished answering the question the system will process the patient's answer and finally the system will issue the answer being experienced by patients.
Blueprint : Pzg Spare Part Enterprise “Magic Pocket” / Muhammad Hafizzullah Juha Seman

The PZG Spare Part Enterprise is a new company that will be operated in Malaysia. The name of this company is come out from one of the idols in motorsport. This business consists of four partners that motivate to be a successful entrepreneur. The members are including general manager, Operations manager, marketing manager and financial manager. Our business is located at Tumpat, Kelantan. After doing some research on the business opportunity that available at Tumpat, we have decided to specify our business in selling our product.Our business will introduce a new product namely Magic Pocket which is a product that creates for those who love to ride especially a long-distance riding. As the entrepreneur that understand what are the consumers’ need, this company take the problems seriously in order to solve the problems with technology. As today, technology plays an important role in this era.Low income users, youngster riders and the entrepreneur that related to the vehicle accessories will be our target market. Also, in the future, we will expand our target market to foreign country and we believe that they will be interested in our product
Faktor – Faktor Yang Mempengaruhi Minat Mahasiswa Dalam Pemilihan Jurusan Akuntansi (Studi Kasus Pada Mahasiswa Baru Di Jurusan Akuntansi Perguruan Tinggi Kota Cimahi)

This study was conducted to find out why many students choose to continue their studies in the Accounting Department because currently in Indonesia the Accountant Profession is facing major challenges in the form of implementing several accounting standards and international auditing standards that are applied following current developments in the world. In this study, we will look at what factors affect student interest in choosing a major in Accounting, the factors to be studied are social influence, perceptions of the profession, expectations of an accountant's career with control variables, namely gender and age. The population of this study were new students in the Cimahi City College Accounting major in 2019 with 134 research respondents, the study used an explanatory research method. Data analysis using logistic regression method. The purpose of this research is to look at the characteristics of students majoring in Accounting and also the reasons behind the choice of majors which are expected to add input to the Accounting department regarding the concepts and perceptions of students at the beginning of their studies so that they can guide their students in the coming semester. Based on the results of data processing, the results of this study show that students choose to study Accounting because students have high career expectations in the Accounting Department, they especially expect high salaries and also wide job opportunities when they graduate.
Online Access to Knowledge Services: Lister Home: Finding Evidence

Welcome to the Lister Healthcare Library - East and North Hertfordshire NHS Trust Click on the Finding Evidence tab for basic information. Click on the drop downs for additional information.
Research Guides: Next Generation Integrated Library System: Alma and Primo VE: Home

This guide includes information about the new next-generation Integrated Library System coming to the library on July 13, 2021.
A Web-Based Decision Support System For Guidance And Counseling Using Technique For Other Reference By Similarity To Ideal Solution Method (TOPSIS) In 2 Senior High School Makassar

Abstract. This research was motivated by management of violation data, and student achievement data at SMA Negeri 12 Makassar which are still handwritten, resulting in ineffective use of resources, time and costs. Beside that, the information generated tends to be incomplete and inaccurate. So that the impact on making unfair decisions. To solve this problem, It is necessary to develop a WEB-Based Guidance and Counseling Decision Support System Using the Technique Method For Other Reference by Similrity to Ideal Solution (TOPSIS) at SMA Negeri 12 Makassar, which theoretically and empirically can overcome these administrative barriers. The objectives of this study were (1) To design a WEB-Based Guidance and Counseling Support System Using Technique Methods For Other Reference by Similrity to Ideal Solution (TOPSIS) at SMA Negeri 12 Makassar. (2) To implement a WEB-Based Guidance and Counseling Decision Support System Using the Technique Method For Other Reference by Similrity to Ideal Solution (TOPSIS) at SMA Negeri 12 Makassar. The research data is direct communication technique with observation interview and document study. The research subjects were counseling teachers at SMA Negeri 12 Makassar. Data analysis using quantitative-qualitative descriptive. The results showed that the problematic student management system and student personal data were currently used. Counseling teachers at SMA Negeri 12 Makassar experienced problems in the process of storing and retrieving data. Counselors at guidance and counseling institutions in schools play a role in the process of forming student personalities and direct students to be better able to hone students' abilities in the academic field according to the individual characteristics of students. This role can be effective if guidance and counseling is supported by a good computerized system in schools. Keywords : SPK, students guidance and counseling, Technique for other refwrence by similarity to ideal solution
Rancang Bangun Game Edukasi untuk Membantu Proses Pembelajaran Matematika Kelas 3 SD dengan Menggunakan Unity

Technology development has been rapidly growing, which has been affecting on traditional education system. Starting on March 2020, government decided to assign all education system to be done in online in order to prevent the spread of covid-19 virus. As an attempt to enforce this online learning system, author builds an education game that grant students to improve their knowledge in primary grade mathematics. Through this game, students will be encountering a set of arithmetic operations in mathematics up to 3rd grade level. This game will be build in Unity and C# programming language by using SDLC Waterfall method.
Quantifying the Performance of Bidirectional Quantum Teleportation

Bidirectional teleportation is a fundamental protocol for exchanging quantum information between two parties by means of a shared resource state and local operations and classical communication (LOCC). In this paper, we develop two seemingly different ways of quantifying the simulation error of unideal bidirectional teleportation by means of the normalized diamond distance and the channel infidelity, and we prove that they are equivalent. By relaxing the set of operations allowed from LOCC to those that completely preserve the positivity of the partial transpose, we obtain semi-definite programming lower bounds on the simulation error of unideal bidirectional teleportation. We evaluate these bounds for three key examples: when there is no resource state at all and for isotropic and Werner states, in each case finding an analytical solution. The first aforementioned example establishes a benchmark for classical versus quantum bidirectional teleportation. We then evaluate the performance of some schemes for bidirectional teleportation due to [Kiktenko et al., Phys. Rev. A 93, 062305 (2016)] and find that they are suboptimal and do not go beyond the aforementioned classical limit for bidirectional teleportation. We offer a scheme alternative to theirs that is provably optimal. Finally, we generalize the whole development to the setting of bidirectional controlled teleportation, in which there is an additional assisting party who helps with the exchange of quantum information, and we establish semi-definite programming lower bounds on the simulation error for this task. More generally, we provide semi-definite programming lower bounds on the performance of bipartite and multipartite channel simulation using a shared resource state and LOCC.