Reviewerly/exHarmony huggingface dataset:
Prototyping a composite view for park assist cameras in automotive vehicles

In this thesis two prototypes, based on separate implementations of a Park Assist Camera, was developed. The purpose was to investigate the possibility of presenting a composite view, where the first view shows the surroundings of the car from a bird’s-eye view and the other view shows the rear camera. The first prototype was based on Volvo CarCorporations flavour of Android OS, where the performance of the prototype was limited by a component responsible for processing frames from the four cameras into a single,continuous, stream. The second prototype, based on a computer running Linux, used OpenCV to process the camera streams due to the absence of aforementioned componentin the first prototype.To evaluate the performance of each prototype, the amount of frames being rendered each second was measured as well as the perceived latency. Both prototypes presented almost identical results regarding perceived latency, while the first prototype performed better in regard to frames per second. However, the second prototype was unexpectedly suffering from a low frame rate which was not thoroughly investigated due to time constraints.
PREDIKSI SALINITAS AIR LAUT DENGAN DEEP NEURAL NETWORK

Research in the marine field is important to look at the state of the ocean's atmosphere and the biodiversity that can live in it. Based on the CalCOFI data set, seawater salinity correlates with the depth of the sea. Sea water salinity can be predicted based on its depth. The classic method that is often used is the least squares regression. Deep neural network is one of the machine learning methods that has been widely applied to regression problems. This study aims to find better predictive performance by comparing the least squares regression method and the deep neural network method. The research method is done first by making an equation model with the least squares regression method. Second, by training the deep neural network using the same data so that the network model is obtained. Furthermore, the results of both methods are compared by calculating MAE and MSE. The results showed that the network model with superior deep neural network was used to predict data outside the range of trained data compared to the least squares regression method.
IMPLEMENTASI BUKU DIGITAL DALAM MENGOPTIMALKAN PENGUNAAN LITERASI UNTUK MENYONGSONG REVOLUSI INDUSTRI 4.0 DI DALAM SEKOLAH

Development of communication information technology has transformed learning methods in the era of industrial revolution 4.0. One form ofdevelopmentin communication information technology is the use if digital book. Digital book can be one solution to fostering a culture of literacy in the world of education in particular, and Indonesia society in general. With a various advantages and appeal of digital book is expected to be able to foster interest in reading so that the literacy skills of the Indonesia people are increasing.So the literacy culture will more grow.
Компенсация погрешностей модели центральной проекции в трехмерных сканерах

AbstractPinhole model measurement errors in 3D triangulation based scanners is studied in the present work. Pupil aberrations of the scanner lenses are shown to cause noticeable errors in determining the coordinates of surface points. The requirements for aberration characteristics are formulated to minimize the error of 3D scanners. A modification of the pinhole model allowing a decrease in the error induced by pupil aberration of lenses of triangulation-based scanners is proposed as well.
Design and Fabrication of Efficient Wheelchair

This paper collects the information about efficient wheel chair which is operated by lever (A Rod). There are people in the world who anguished and have faced adversity that caused them physical disability. There are many conventional and nonconventional wheelchair are available right now though there are people who still require some cheaper and easier mode. So, our main objective is to make such easy driven, cheaper wheelchair which is cost effective and reliable. Through the introduction of lever we are capable of reducing the human effort with more torque and ultimately covers more distance for less effort as compared to conventional wheelchair. Through certain engineering techniques we did the whole work. This work is purely mechanical and in consideration to minimize the cost and human power.
Pengembangan Sistem Informasi Penilaian Risiko Muskuloskeletal (rula,reba dan nbm) Berbasis Web

The increasingly rapid industrial development provides employment opportunities in various business sectors, where each job has the risk of a work accident. Workaccident risk prevention can be done from various aspects, one of which is ergonomic aspects that prevent the occurrence of work related musculoskeletal disorders (WMSDs). The breakdown of WMSDs can be done by various methods such as RULA, REBA and NBM, In the implementation of risk assessments carried out in HSE students of FIK UMS, most of them still use manuals which can take approximately 10 minutes and allow miscalculation in carrying out risk assessments. This study aims to develop a WEB-based musculoskeletal risk assessment application which can be integrated and improve the time efficiency and accuracy of risk assessment. This type of research is Research and Development (R & D) with a system development method for Extreme Programming (XP) which consists of four stages, namely planning, design, coding, and testing. Time efficiency testing is done by user interviews and comparison of manual and system time. Accuracy testing and recommendations using a confusion matrix giude. The results of this study indicate that the development of web-based systems can improve time efficiency 3 times faster than manual and the accuracy test get a success rate of 100% which mean that this systems can be implemented to musculoskeletal assessments.
Comparative analysis of the content and specifications of the state educational standard and federal state educational standards for decorative and applied creativity

The relevance of the topic under study is caused by changes in the sphere of legal regulation of higher education, which require deep thinking from all participants in the educational process. The article analyzes the state educational standards and federal state educational standards in the direction of the preparation “Folk Art Culture”. The purpose of the article is a comparative analysis of the content, as well as the specifics of state educational standards and federal state educational standards; analysis of changes in the requirements of state educational standards and federal state educational standards of higher education for the training of professionals in the field of decorative and applied arts. The main approaches to the study of the problem are: a systematic approach, methods of analysis, synthesis, comparison, communication, theoretical, comparative analysis. The results of the article: a comparative analysis of the specifics of state educational standards and federal state educational standards in the field of arts and crafts is presented. The theoretical significance of the research lies in the fact that the results obtained can serve as a basis for new scientific ideas about modern requirements that apply to the professional training of students enrolled in the field of “Folk Artistic Culture”. The practical significance of the study consists in focusing its results on improving the readiness for professional activity of students in the direction of “Folk Art Culture”, taking into account the dynamics of the development of modern legislation and the sphere of decorative and applied arts in general. The article is of great interest for teachers of vocational training, graduate students and undergraduates.
From the levels of memory to their info-technicist unfolding in the information society

The present article consists of analyzing memory levels from the perspective of Assmann (2008). From a systematic review on the subject, is instituted a vision on the dimension of internal (neuronal), social and cultural memory in the human, material and immaterial relations between groups. A theoretical-analytic dialogue with History, Sociology, Anthropology, Social Psychology, Information Science and other areas of the Social Sciences is undertaken, which are presented not in a watertight manner, but which participate in the analysis of this polysemic object, formed not in the abstraction of the norm, but intertwined with the worlds of people and social dynamics. Next, the level of the cultural dimension of memory is related to the categories of the information society in its triple immersion: as an economic transition, political project and social norms, to discuss the technical dimension of memory whose modern tendency is characterized by the use / use and hyper-industrialization of 'mnemonic technology' for the performance and development of individuals, organizations and societies.
SISTEM VERIFIKASI MENANGKAL BERITA HOAX DI MEDIA CETAK

Hoax is derived from the term (hocus to trick) and was created to manipulate people or invite people to perform an action, using threats or deceptions. The motive of the hoax itself can be both commercial and political and can have a bad impact such as loss of reputation, material, even life-threatening. The faster the hoax news spreads the faster it will affect an existing community. Those articles' validity may both authentic and fake. Fake news article usually called as hoax news. Hoax news may lead the readers to feel burdened, provoked or even be in a loss. This research proposes to build an automatic hoax news detection.
Role of Management Centre in Multi Cloud Computing System

Multi cloud computing enables the enterprises for effective management of their workloads.Now-adays multi cloud computing flourishes in providing best of breed services to the end user.Management centre is necessary to design, deploy, control and monitor multiple clouds in order to carry out enterprise workloads.This paper proposes architecture for multi cloud computing system and describes the functionality of multi cloud management centre and also provides echo-efficient policies for the reduction in energy conservation.
A Web-based control and monitoring system for DAQ applications

A comprehensive and efficient environment and data monitoring system is a vital part of any HEP experiment. In this paper we describe the software web-based framework which is currently used by the CMD-3 Collaboration at the VEPP-2000 Collider and partially by the Muon g-2 experiment at Fermilab to monitor the status of data acquisition and the quality of data taken by the experiments. The system is designed to meet typical requirements and cover various use-cases of DAQ applications, starting from the central configuration, slow control data monitoring, data quality monitoring, user-oriented visualization, control of the hardware and DAQ processes, etc. Being an intermediate middleware between the front-end electronics and the DAQ applications the system is focused to provide a high-level coherent view for shifters and experts for robust operations. In particular, it is used to integrate various experiment dependent monitoring modules and tools into a unified Web oriented portal with appropriate access control policy. The paper describes the design and overall architecture of the system, recent developments and the most important aspects of the framework implementation.
HC Libraries: Criminal Justice: Websites

This guide contains library resources and internet links for doing research in the criminal justice field.
HC Libraries: Criminal Justice: Databases/Articles

This guide contains library resources and internet links for doing research in the criminal justice field.
PROFESSIONAL DEVELOPMENT OF TEACHING AND RESEARCH-PEDAGOGICAL STAFF IN UKRAINE: PROBLEMS AND PERSPECTIVES

The problems and weaknesses of professional development of teaching and research-pedagogical staff system in Ukraine are analysed in the article.The needs of educational institutions in staff professional development are outlined.The principles of modernized system of professional improvement and perspectives of its innovative development are determined.Formulation of the problem.The urgency of qualitative professional development of teaching and research-pedagogical staff and the accumulated contradictions of the traditional educational system determine the need to find ways and methods for significant modernization of the latter.Materials and methods.Theoretical analysis of scientific sources, methods of comparison, synthesis, analysis, generalization are used.Results.The focus in the programs for professional development of teaching and research-pedagogical staff: the focus on the specifics of adults as consumers of educational services, including the physiological characteristics of different age groups of adults; the focus on the special needs of educational establishments while planning the contingent of advanced training; the focus on the use of computer technologies in the learning process; the focus on individual plans of teachers' professional development; the focus on ensuring mutual exchange of experience in internship programs.Conclusions.The outlined principles allow to determine both the vector of the system of further training movement as a whole and the opportunities for each employee personally.The common forms and types of further training of teaching and researchpedagogical staff have been investigated, which allows distinguishing their advantages and necessary accents of professional development programs in general.
LibGuides: LinkedIn Learning New Platform: Create a new account

Steps to migrate Lynda account or create a new account to the new LinkedIn Learning Platform
Event Shape Sorting: prospects and femtoscopy applications

We demonstrate the use of Event Shape Sorting in femtoscopy.The method allows to select events with similar distributions if hadrons in azimuthal angle.We show that also their correlation radii exhibit interesting dependence on azimuthal angle with anisotropies of different orders visible at the same time.We further demonstrate such features of the hadron distribution which can be hardly recognised by Event Shape Engineering, but shows up in Event Shape Sorting.Finally, the influence of statistical fluctuations on sorting is investigated.
Mathematical model of diffusion process for solving hydroecological problems

The article discusses the actual tasks of adaptive control of local water treatment plants to ensure the rational use of water. The software solutions for modeling the diffusion process in a porous medium with the absorption of a diffusing substance on the pore surface are considered in detail.
Saliency Detection via Recurrently Aggregating and Refining Cross-layer Residual Features

In the past few years, deep convolutional neural networks (CNNs) have benefited great progress in salient object detection due to the strong ability of feature representation. As different level of features can be reflected in different layers, traditional CNNs based methods usually integrate features from multiple layers to obtain appealing results. However, the fine details of salient objects tend to be lost because of multiple subsampling operations such as convolution and pooling. Meanwhile, the non-salient regions reflected in the low level features would be easily integrated into the final results incorrectly. In order to address these issues, we propose a novel deep saliency detection network by recurrently aggregating and refining cross-layer residual features (RARCRF). Instead of directly refining the intermediate saliency map as many previous plain network based methods do, we design a residual learning module and embed it into RARCRF to learn residual features. Then, the residual features learned from multiple layers are aggregated and refined step by step in a cross-layer manner. By this way, the complementary information in deep features extracted from different layers can be fully captured for detecting salient objects with different scales, i.e., the features integrated from low-level layers can serve to refine the details of detected salient objects while the features integrated from high-level layers with semantic information can benefit the locating of salient objects. Finally, different saliency detection results from different layers are fused to generate the final saliency map. Experimental results with ablation analysis on five benchmark datasets demonstrate that our proposed RARCRF outperforms other 14 state-of-the-art competitors.
Research on High Quality Bilingual Parallel Documents of Science and Technology Produced by Application Software Tools and Control Language

The aim of this study is to help English-based technicians produce high-quality translated documents with the help of free software tools (such as machine translation+post-translation compilation technology, computer-aided translation technology, etc.). This paper discusses a method of iteratively rewriting technical documents to help technicians generate more accurate bilingual parallel documents. It also studies how to use control language rules to rewrite technical documents to eliminate ambiguity and sentence complexity in order to improve the translatability of documents. Finally, a method is proposed to help users choose the most suitable machine translation engine.
Applying Texture Feature Extraction for Skin Diseases using GLCM and GLRLM

The proposed system classifies different types of dermatological skin diseases. The project mainly consists of three phases training phase, testing phase, and classification phase. First, collect the five skin disease datasets. Then divide the datasets into training and testing images. The datasets are in RGB format convert the images into grayscale. For extracting texture of an image, a statistical methods GLCM and GLRLM are used. GLCM features are contrast, correlation, homogeneity, and energy. GLRLM features are SRE, LRE, RP, GLNU, RLNU, LGRE and HGRE. Compare the texture features of training images with testing images and classify skin diseases such as Eczema, Melanoma, Dermatitis, Basal cell carcinoma, and Acne by using the ANN method. Compare the accuracy levels of both GLCM and GLRLM. GLCM gives 95% accuracy and GLRLMgives 93% accuracy.
Dual-Subpopulation as reciprocal optional external archives for differential evolution

Differential Evolution (DE) is powerful for global optimization problems. Among DE algorithms, JADE and its variants, whose mutation strategy is DE/current-to-pbest/1 with optional archive, have good performance. A significant feature of the above mutation strategy is that one individual for difference operation comes from the union of the optional external archive and the population. In existing DE algorithms based on the mutation strategy—JADE and its variants, individuals eliminated from the population are send to the archive. In this paper, we propose a scheme for managing the optional external archive. According to our scheme, two subpopulations are maintained in the population. Each of them regards the other as the archive. In experiments, our scheme is applied in JADE and two of its variants—SHADE and L-SHADE. Experimental results show that our scheme can enhance JADE and its variants. Moreover, it can be seen that L-SHADE with our scheme performs significantly better than four DE algorithms, CoBiDE, MPEDE, EDEV, and MLCCDE.
외국어 교수법의 변천과 한국어교재와의 상관성에 대한 연구 : - 전통적 교수방식에서 직접식 교수법까지 -

While ‘textbook compilation’ starts from learners’ demands and needs, a ‘teaching method’ is to approach learners’ demands and needs and is an important factor to determine the orientation of textbook. Considering that the transition in foreign language teaching methods influences textbook development and change, this study is, therefore, intended to figure out a correlation between teaching methods and textbooks.For achieving this study purpose, this study analyzes Korean textbooks and examines the effect of foreign language teaching methods on actual Korean textbook compilation. It is thought that although figuring out a correlation between teaching methods and textbooks would influence the orientation of textbook development, fundamentally, it is a definitely necessary process to suggest the direction of Korean language education and to seek a proper methodology for the future. In order to find out a correlation between teaching methods and textbooks, this study plans to analyze nearly 100 textbooks of each time period and to investigate textbook contents, compilation intentions of authors, and teaching methods that took center stage in those times, for an in-depth analysis. It is anticipated that this would help in grasping a diachronic and systematic flow of textbooks of the past, of the present and of the future.For a more minute performance of the study purpose and contents, this study classifies a discussion on textbooks and teaching methods into two aspects, based on different time periods and is especially focused on a discussion from the conventional teaching method to the direct method.
Research Guides: Films & Video @ ATU Libraries: Other Streaming Videos

Everything you wanted to know about physical and streaming collections of films and video for classroom use.
Analysis and Countermeasure of Course Certificate Fusion of Finance and Economics Specialty

Many students will attend two or more qualifications examinations in school. Many vocational competence and technical qualifications examinations are related to basic courses or professional courses of Finance and economics majors. Students' professional skills, professional qualities and employment competitiveness can be improved through the implementation of "Course Certificate Fusion". But in the process of implementing "Course Certificate Fusion", there are some problems to be solved. In order to ensure the effect of "Course Certificate Fusion", relevant countermeasures should be taken.
Parametric Based Clustering of Reusable Components

Building new software by using existing software that has been developed by using reusability principles is known as software reuse. It results in reduction of effort and time to develop software. It also increases reliability, portability, maintainability and productivity of software product. But the problem is a lack to symmetric way to store reusable components so that retrieval of component done with less time. One of the solutions is to classify reusable components. We use clustering technique to classify reusable components because clustering results in reduction of search space by cataloguing similar objects together. In this research we propose a framework that is used to understand the process of clustering and to give a practical shape to this framework. In this framework software reusable components are provide with their associated parameters. On the basis of these parameters, software reusable components are clustered. Finally proposed clustering algorithm is evaluated by applying this algorithm on different software reusable components. Presentation of results is in the form of table and graph which shows the successful clustering of reusable components.
Correlation Clustering: Let All The Flowers Bloom!

Correlation clustering is a NP-hard problem, and for large signed graphs finding even just a good approximation of the optimal solution is a hard task.In this article we examine the effect of ranking the nodes and processing them in order of ranks.We demonstrate that based on the rate of positive edges in the graph it is worth using different optimisation methods.We show that all building blocks of our methods are necessary under certain circumstances.