Reviewerly/exHarmony huggingface dataset:
Prestasi Belajar Siswa Dalam Pembelajaran Kooperatif Tipe TAI dan Jigsaw Ditinjau Dari Kecerdasan Majemuk

The purpose of this study was to determine student achievement in the TAI and Jigsaw cooperative learning model in terms of multiple intelligences. This research method is a quasi experiment. The population of this study was students of Class VIII Middle Schools in the city of Banjarmasin, while the sample was VIII Class students of SMPN 1 Banjarmasin, SMPN 7 Banjarmasin and SMPN 14 Banjarmasin. Data analysis was performed inferential statistics. The results of the study indicate that (1) There are significant differences in student achievement in each of the TAI and Jigsaw cooperative learning models before and after treatment; (2) there is no significant difference in student achievement between linguistic intelligence, mathematical logic and others; (3) there is no significant difference in student achievement between linguistic intelligence, mathematical logic and others in the implementation of the TAI type learning model; (4) there is no significant difference in student achievement between linguistic intelligence, mathematical logic and others in the implementation of Jigsaw type learning models; (5) There is a significant difference between students' learning achievement and linguistic intelligence between learning models type TAI and Jigsaw
LibGuides: First Year Experience: Home

This LibGuide was created to provide information on library resources for first-year students and their instructors.
Accuracy Analysis of Bistatic Active Sonar Ranging

The concealment and anti-interference ability of monostatic sonar system are poor. In-depth theoretical researches and scientific experiments were carried out at home and abroad, meanwhile a lot of meaningful data has been accumulated. In this paper the formulas of ranging and ranging error were given and four factors affecting the error are simulated. The simulation result shows that the sound speed error and time-delay error are the main influence factors of ranging error. The T-R distance error and bearing measurement error can be ignored. The ranging error inducing by time-delay error, T-R distance error and bearing measure error is convergent with increasing distance, but the sound speed error is not convergent with increasing distance.
A generic shift-norm-activation approach for deep learning

Deep learning has received increasing attention in the last decade. Its amazing success, is partly attributed to the evolution of normalization and activation techniques. However, less works have devoted to explore both modules together. This work, therefore, aims at pushing for a deeper understanding on the effect of normalization and activation together analytically. We design a generic method which integrates both normalization and activation together as a whole, named as the Generic Shift-Normalization-Activation Approach (GSNA), in reserving richer information propagation in neural networks. A rigorous mathematical analysis was performed to investigate the benefits of the designed method, such as its computation complexity, performance potential as well as optimization over trainable parameter initialization. Further, extensive experiments are conducted to demonstrate the superiority and generality of the designed method in many computer vision benchmarking tasks, such as CIFAR-10/100, SVHN, ImageNet32 × 32, etc. To explore its generality, we also conduct some experiments on natural language understanding tasks like text classification, natural language inference, and some variational generative task as well. More interestingly, GSNA can be naturally incorporated into the existing neural networks with arbitrary architectures, demonstrating its generic effectiveness in deep learning field.
HC Libraries: Criminal Justice: Home

This guide contains library resources and internet links for doing research in the criminal justice field.
Forensic accounting and fraud detection: evidence from manufacturing industry in Nigeria

The increasing demand for forensic accounting is a certain defining feature of most businesses in the world. Forensic accounting occurs from the reason and result of fraud and technical errors invented by humans. It became relevant that forensic accounting is introduced and practiced, and forensic accountant to provide litigation support and investigative accounting. Therefore, this paper critically examined the effect of forensic accounting on fraud detection in the manufacturing industry in Nigeria. This study employed the survey design and data were collected using primary data and this was achieved via a structured questionnaire. The population of the study consists of all the employees of PZ Nigeria Limited. The target population of the study was the employees in the accounting department of PZ Nigeria Limited. Regression analysis was used to show the relationship between the dependent variable and the independent variable. The study found out there is a significant effect of forensic accounting on fraud detection. The study, therefore, recommended that industry in the manufacturing industry should build a continuous improvement in the internal control system and ensure effective and efficient internal checks. Also, the company should choose a sound accounting system and effective forensic accounting practices.
Energy efficient perceptual video quality measurement (VMAF) at scale

Over The Top (OTT) video industry has witnessed exponential growth in recent years with introduction of number of streaming services. Better video quality, at optimum encoding parameters like bitrates, resolutions is must to meet the demand of cost effective solution. Hence an objective and efficient method to measure the perceptual video quality is extremely vital for customer satisfaction and retention. VMAF is one such full reference quality metric which provides consistent, accurate assessment of video quality. It uses an internally trained ML based SVR model to fuse spatial and temporal quality features such as VIF (Visual Information Fidelity), ADM (or Detail Loss Metric DLM) and motion scores. We analyzed the complexity of such metrics in terms of core mathematical floating operations and number of loads and stores. In this paper, we propose replacing the existing floating point operations by optimal fixed point (integer) implementation without drop in accuracy. This is achieved by optimally selecting precision requirements at every stage of processing, which helps in efficient memory usage and improved performance. The proposed change will significantly help in VMAF’s usability for deployment at scale, application in low power devices and live streaming without compromising accuracy.
박물관 역사교육을 위한 전시ㆍ해설의 변화 방안 -대구교육박물관을 중심으로-

Museum is one of the places that the history can be educated to the public the most. The best way to experience the quality of museum is to personally visit and view the exhibition yet there are several difficulties of practical and physical restriction. It is called history education at the museum in case that the articles of exhibition are historical relics and the school has affiliation with the museum by a history teacher. For the better implementation of history education, it is necessary not only to guide students around the exhibition or emphasize their literacy skills but also endeavor to make students appreciate the structural characteristics of the articles of exhibition. That means it is important to grasp the historical context when viewing the exhibition. Besides, the description method of the articles of exhibition should be changed.In order to implement the issues mentioned earlier, the two following solution plans were introduced to the exhibition at Daegu Museum of education. First, so as to grasp of historical context when viewing the exhibition, 9 historical relics were selected and the scenario, Smart Curator, was produced with assistance of history teachers. Also, ‘Manchuria-Chosun School trip Guide’ and ‘Tonggang-rok’ were written in expository writing with narratives. For it is an early phase research, its generalization and realization should be arranged through finding the varieties of method-exhibition panel, brochure, video.
The Relationship of Two-Way Construction of Tradition and Innovation of Higher Education

The relationship between tradition and innovation of higher education is two-way construction. It should be pointed out that the three principles to be followed in the two-way construction of tradition and innovation of higher education: Adhere to the principle of subjectivity; Adhere to the principle of the unity of history and logic; Adhere to the principles of democracy and the rule of law and promote consensus. Only in this way, can we build harmonious relationship of tradition and innovation of higher education and construct a modern higher education with world-class and Chinese characteristics.
Comparative Study of Fuzzy Controller Optimization with Dynamic Parameter Adjustment Based on Type 1 and Type 2 Fuzzy Logic.

This paper presents a comparison of fuzzy controller optimization results using dynamic parameter adjustment Type 1 (T1) and Interval Type 2 (T2) fuzzy logic to the Firefly Algorithm (FA). The FA is used for optimizations parameters of the membership functions in the fuzzy controllers. The dynamic adjustment is applied to the randomness parameter of the search space, which represents the exploration of the method, avoiding stagnation or premature convergence. The FA generates the values that the parameters of the membership functions take for optimization use in the fuzzy systems for control. The control plants have one or more input variables that are processed and result in one or more output variables, it would be very difficult to model the human reasoning in equations to achieve a machine acquires the knowledge acquired by humans. For that reason the fuzzy logic that generates that insertion is used as if it were human reasoning.
ANALYSIS FOR CREDIT CARD FRAUD DETECTION THROUGH DEEP LEARNING

In the Current Scenario of World, digitalization looks expanding ubiquity as a result of consistent, helpful and advantageous utilization of ecommerce. It has demonstrated to be a slam gasp and simple method of installment passage. Purchasers pick online installment and e-shopping; due to time comfort. Because of this, an enormous measure of online business use, there is an immense addition in credit card frauds moreover. Fraudsters attempt to abuse the card and straightforwardness of online installments. To beat the fraudster's action become fundamental, the primary point is to verify credit card transactions; in this way, individuals can utilize e-exchanges securely and effectively. To identify the charge card misrepresentation there are different methods which depend on Deep learning, Logistic Regression, Naive Bayesian, Support Vector Machine (SVM), Neural Network, Artificial Immune System, Nearest Neighbor, Data Mining, Decision Tree, Fuzzy Logic based System, Genetic Algorithm and so on.
Alternative Proposed Model for RFC Editing and Publication

The finishing process for a document that is approved for publicationas an RFC currently involves a somewhat detailed and lengthy process.The system that executes that process involves a number of differentactors, each bringing competency with different aspects of the overallprocess. Ensuring that this process functions smoothly is critical tothe mission of the organizations that publish documents in the RFCseries. This document proposes a framework for that system that aimsto provide clear delineations of accountability and responsibility foreach of the actors in this system. It would require significantupdates to RFC 8728 and RFC 8729, and minor updates to RFC 2850 andRFC 7841. Discussion of this document takes place on the RFC EditorFutures mailing list (rfced-future@iab.org).
Challenges and Roles of Official Statistics in the Covid-19 Pandemic

Official Statistics is a statistical activity carried out by the government relating to the collecting, processing and presenting of data in the government sector. During the Covid-19 pandemic, the government statistical activities underwent a change. Especially in the case of data collection in the field. Data collection by face to face directly begin to switch to online methods. With intertnet connection and technology information tools, activity related collecting data stiil done by online, especially to eradicate pandemic Covid-19. Official Statistics plays an important role through data produced associate with Covid-19 and with these data, the appropiate decision to accomplish pandemic Covid-19 can be made
LibGuides: EDU 461: Children's Literature: WorldCat Discovery

This guide will help students in EDU 461 perform research and create lesson plans based on children's books. Use WorldCat Discovery to search for library materials in any format.
Governance of IoT in order to Move ahead of the calendar & live the future today

The Internet of Things (IoT) is a system of interrelated computing devices, mechanical and digital machines, objects, animals or people that are provided with unique identifiers and the ability to transfer data over a network without requiring human-to-human or human-to-computer interaction. The Internet of Things (IoT) world may be exciting, but there are serious technical challenges that need to address, especially by developers. In this handwriting, learn how to meet the security, analytics, and testing requirements for IoT applications. A thing, in the Internet of Things, can be a person with a heart monitor implant, a farm animal with a biochip transponder, an automobile that has built-in sensors to alert the driver when tire pressure is low -- or any other natural or man-made object that can be assigned an IP address and provided with the ability to transfer data over a network. IoT has evolved from the convergence of wireless technologies, micro-electromechanical systems (MEMS), micro services and the internet. The convergence has helped tear down the silo walls between operational technologies (OT) and information technology (IT), allowing unstructured machine-generated data to analyze for insights that will drive improvements. The Internet of things (IoT) is the interconnection via the Internet of computing devices embedded in everyday objects, enabling them to send and receive data. If one thing can prevent the Internet of things from transforming the way we live and work, it will be a breakdown in security. Therefore, there are some important challenges in privacy and maintaining security of the Internet of things. In this paper, we are going to list the typical items which can be major challenges facing IoT.
Early Concept Validation through Provocative Experience Prototyping

This essay reports on a research project aiming at validation of a concept for an Al-driven speech interface for smart services in public spaces. The research team created a simple experience prototype that simulated the envisioned functionality and was used to experiment with subjects in dialogues. The interaction with the prototype invoked a provocative experience that allowed test subjects to better imagine the impact that such a concept for smart services would have in their neighbourhood. LinkedIn: https://www.linkedin.com/in/atjylha/ https://www.linkedin.com/in/josvanleeuwen/
PRONUNCIATION ERRORS IN STUDENTS ENGLISH-SPEAKING PERFORMANCE

This study is entitled Pronunciation Errors in Students' English-Speaking Performance.It aims at analyzing pronunciation errors found in students' speaking performance.Besides, this study also investigates the factors that cause pronunciation errors in student speaking performance.The data of this study were obtained from the results of a speaking test conducted on 8th Grader of Class C Students of SMP Negeri 2 Blahbatuh, Gianyar Regency, Bali, Indonesia.The test was done by asking students to briefly told their experiences during the holidays.The documentation method was used to obtain the data from oral material (speaking performance).A note-taking technique was applied to mark down the relevant data for the study.The data of the study were qualitatively analysed based on theory of phonological errors by Keshavarz (2012), and factors causing errors by Brown (2000).The analysis of this study was presented in informal methods.In the informal method, each problem in this study was presented narratively to make the analysis understood easily.The finding reveals that there are several errors found in students' speaking performance.Errors include pronunciation errors of English vowels, consonants, and diphthong.The cause of errors in pronunciation of English consonants and English vowels is the intralingual and interlingual factors.Pronunciation errors of English consonant are mostly caused by interlingual factors, while vowel pronunciation errors tend to be caused by intralingual factors.
Designing an Interactive Technological Book for Children with Mental Disabilities

Graphic design works as a medium between human beings and technology, and can be transformed according to human needs. Graphic design has a potential for developing adaptive educational material for children with mental disabilities. At the same time, graphic design can be integrative with innovative digital technology in order to modernize education process in our digital era. This article describes an attempt to develop a graphic design project aimed at the creation of an innovative solution for schools for children with special need. By combining graphic design and technology, it was possible to create an interactive book that could help children and teenagers with mental disabilities in their learning processes and improve their quality of life. The experiment took place in one of the specialized schools in Yekaterinburg (Russia). The proposed project factored teachers’ opinions (obtained through teachers’ interviews) into the development process, and was subsequently tested in the classroom.&#x0D; Keywords: graphic design, mixed reality, education, children, digital learning, special needs, mental disability, interactive book
Robust Object Tracking via Reverse Low-Rank Sparse Learning and Fractional-Order Variation Regularization

Object tracking based on low-rank sparse learning usually makes the drift phenomenon occur when the target faces severe occlusion and fast motion. In this paper, we propose a novel tracking algorithm via reverse low-rank sparse learning and fractional-order variation regularization. Firstly, we utilize convex low-rank constraint to force the appearance similarity of the candidate particles, so as to prune the irrelevant particles. Secondly, fractional-order variation is introduced to constrain the sparse coefficient difference in the bounded variation space, which allows the difference between consecutive frames to exist, so as to adapt object fast motion. Meanwhile, fractional-order regularization can restrain severe occlusion by considering more adjacent frames information. Thirdly, we employ an inverse sparse representation method to model the relationship between target candidates and target template, which can reduce the computation complexity for online tracking. Finally, an online updating scheme based on alternating iteration is proposed for tracking computation. Experiments on benchmark sequences show that our algorithm outperforms several state-of-the-art methods, especially exhibiting better adaptability for fast motion and severe occlusion.
PENGEMBANGAN BAHAN AJAR KALKULUS INTEGRAL DENGAN PENDEKATAN APTITUDE TREATMENT INTERACTION (ATI) BERBANTU MACROMEDIA FLASH

ABSTRACT&#x0D; The difficulty of students in understanding the material in the integral calculus print book is one factor that makes student learning outcomes low. The difference in students' abilities is one of the considerations in developing process. This study aims to develop integral calculus teaching material using the aptitude treatment interaction (ATI) approach assisted by Macromedia flash. This research belongs to the development research. The instruments used in this study were questionnaires and tests. Indicators of the results of this study are teaching materials declared worthy of use and students who get optimal learning outcomes&gt; 75%. The stages in the study consisted of ten stages that began with discovering potentials and problems to mass production. The results of the study showed that the integral calculus teaching material made was feasible to use. As many as 79% of students achieve optimal learning outcomes.
IMPLEMENTATION OF ARTIFICIAL NEURAL NETWORK FOR CLUSTTERING OF STUDENTS INTERESTING IN COMPUTING FIELDS

The computing field  interested is important for students of the Faculty of Computer Science. Student interest also relates to research for the thesis required for graduation. At the Faculty of Computer Science, University of  Duta Bangsa Surakarta, there are several research topics that are of interest to students including: Information Systems, Decision Support Systems, Multimedia, Expert Systems and Intelligent Information Systems. Clustering is a method for grouping a number of data into several clusters or groups. Data that have closeness will be grouped into one cluster. Competitive Network is part of Artificial Neural Networks with unsupervised learning. This algorithm can be used for clustering. This study aims to produce a clustering system for mapping students interests on research topics at the Faculty of Computer Science, Duta Bangsa University Surakarta with a competitive network artificial neural network. The input data used were the results of the student's focus questionnaire on research topics which would be grouped into 5 clusters. The clustering process uses the Competitive Network algorithm with clustering parameters of the number of clusters 5, 1000 and Kohonen parameter of 0.01
동학산행(東學山行): 산으로 간 동학의 기록들

East Learning(東學) is often remembered for the Donghak Peasant Revolution in the field. However, East Learning in the mountain holds significant importance, as it had provided the intrinsic motivation for the revolution. We need to pay attention to the cultural complexity of East Learning that embraced both revolutionary outcry in the fields and tranquil prayers in the mountains. This paper concentrates on the latter; the prayers and self-discipline of religious leaders through discovery and analysis of related written records.Firstly, it covers praying spots in the mountains. Here Suwoon(水雲), the founder of Donhak, and Haewol(海月), the second leader of Donhak, used to stay and train for long periods of time. These locations were Naewon-am in Mt. Cheonseong, Eunjeok-am in Mt. Gyoryong, Jeokjo-am in Mt. Taebaek, Saja-am in Mt. Yongwha, and Gaseop-am in Mt. Taewha. From the literal materials, it is clear that mountains were where the early religious leaders achieved the most important religious experiences.Secondly, the following generation would go on a pilgrimage before big tasks and challenges to the mountains that were the bases of Suwoon and Haewol’s religious experiences. To this day, paradigmatic model of East Learning in the mountain still continues. Although mountains are easily overlooked as East Learning has a strong image of the revolution in the fields, they always had a powerful tie with the religion. It is safe to say the religious culture was composed based on the deep connection between East Learning and the mountains.