Reviewerly/exHarmony huggingface dataset:
Object Tracking Based on Multi-Feature Fusion and Kalman Filter

Aiming at the problem of tracking drift caused by the variation of illumination variation, deformation and occlusion problems in the target tracking process, a traditional Mean Shift algorithm is proposed. Firstly, LBP and LPQ are used to perform texture feature extraction on the target image, and the extracted color features and texture features are weighted and fused. Secondly, a target tracking method combining kalman filter and mean shift tracking is proposed. The scale adaptive mechanism is used to effectively improve the tracking stability of mean shift when the target scale changes. Experiments show that the improved algorithm is more robust to target deformation, illumination, and occlusion.
Application and Consideration of Dynamic Security Identity Authentication in Electric Power Business

Abstract This electronic document carries out the analysis of mouse, keyboard fingerprint characteristics and online time and user behaviour, establishes user behavior characteristics database and model of electric power business, realizes the identification and account risk control based on dynamic behavior characteristics, improves the account security of the system, and solves the problems. The former security certification method is single, and the ability of security risk prevention and control is insufficient.
Preventing a Zombie Contract Apocalypse with a Document-Engineered Approach to Standard Form Consumer Contracts (SFCCs)

Author(s): Way, Kristin Breanne Cornelius | Advisor(s): Drucker, Johanna | Abstract: Standard form consumer contracts (SFCCs) between consumers and businesses are recognized as ‘standard form’ so as to increase the efficiency of transactions and save costs, which are ostensibly passed on to consumers. Since one party is generally less powerful in terms of access to information and resources, these contracts are often acknowledged as imbalanced. SFCCs in various forms (e.g., terms of terms of service agreements, data policies, copyright policies, acceptable use policies) have been implicated in the wrongdoing of many widely-used service platforms and thus have been at the center of concern for consumer rights in recent years. While some have characterized these issues as a lack of understanding by claiming adherents have a ‘duty to read,’ or as drafters’ responsibility for egregious terms and weak disclosures, this project suggests at least part of the issues exist from a lack of consideration of the document itself—and a performance (or de-performance) of its physical characteristics to some end in a digital environment. It suggests that standardizing aspects of the document form of SFCCs, rather than relying on notions of standard practice that work against user psychology, would have beneficial effects for consumers toward evening out the power imbalance. It makes use of the disciplines that specialize in these topics, including document theory, library and information science, diplomatics, standards of records management, textual criticism and bibliography, and evidence to offer a revised perspective on SFCC issues. Ultimately, it concludes that current governance is not adequate to address the issues of these agreements and suggests three principles, or shifts in concept, that reflect its findings: 1) standardization, not standard practice 2) explanation, not notification; and 3) documentation, not integration. Additionally, it provides a proposal to develop a new set of standards that would afford SFCCs the following characteristics: a) Classifiable/Organizable; b) Preservable/Scrapable; c) Trackable/Stable; d) Authentic/Reliable; e) Processable (machine-readable). This standard could not only help extract necessary information from these documents and produce an ‘informed minority hypothesis,’ but also help stabilize the document for evidentiary reasons (e.g., dispute and discovery, burden of proof) and work against unnoticed changes (from unilateral modification).
Libguides: Open Access at CBS: Types of Open Access

In this LibGuide you will find everything related to Open Access at Copenhagen Business School. Navigate by clicking on the blue tabs.
THE EFFECTS OF NOISE FILTERS ON SEGMENTATION BASED SEEDED REGION GROWING

Image segmentation is a process of grouping pixels to make parts of objects into distinct image areas using their texture, edge, color properties. The segmentation process plays an important role in the analysis of images and in image processing. One of the techniques developed for segmentation is SRG (Seeded Region Growing). The noise generated during the acquisition of images affects the segmentation success negatively. Filters used to eliminate noise reduce it, but the effect of filtering on the segmentation success is not fully known. In this study, the effects of noise and filters on the SRG algorithm are investigated. For this purpose, various noises were added to Weizmann database images at different levels. Later, filters were applied to noisy images. Finally, F-Score values were obtained from the images segmented by the SRG algorithm and compared with the values of the original images.
Analisis Neraca Air Permukaan DAS Ciliman

Water balance is an estimate of the availability and needs of water in a watershed area. The water balance is very important considering the human need for water resources is a major requirement. The purpose of this study includes; (1) Analyzing the distribution of the influence of rainfall observation stations in each of the Ciliman sub-watersheds, (2) Analyzing the mainstay discharge in each Ciliman sub-watershed, and (3) Analyzing the potential availability of raw water in the Ciliman watershed. The types of data used in this study are secondary data including: (1) monthly rainfall data from 4 rainfall observation stations included in the Ciliman watershed, (2) climatological data from BMKG Taktakan Serang Station in 1998-2015, (3) Map of Watershed Ciliman and (4) Population data. Data analysis methods used include; regional rainfall analysis, analysis of water availability (evapotranspiration analysis, Mock model analysis), and analysis of water requirements. The results of the analysis showed that the highest rainfall occurred in January, and the lowest rainfall occurred in August. Overall, the water available in the Ciliman watershed is sufficient with the peak occurring at the beginning and end of the year. Water availability is estimated based on surface water discharge, where peak discharge occurs in January and minimum discharge occurs in August. The water balance in general in the Ciliman watershed is quite high with the highest water debit of 61.75 m3/s occurring in March and the lowest (minimum) discharge around 5.26 m3/s in August. The total water requirement for the Ciliman watershed area is 38.86 m3/s, consisti of; Water demand for irrigation is the highest water requirement reaching 37.96 m3 s with a total irrigated area reaching 5,423 hectares. Domestic water needs are 0.48 m3/s with a total population of 314,524 people served. Water requirements for industry are 0.000040 m3/s or relatively relatively small. While the water demand for the Tanjung Lesung Special Economic Zone is 0.42442 m3/s.
Model based requirements management for the space mission design framework

Requirements engineering plays an important role both in software and systems engineering. It is the process of defining, documenting, and maintaining requirements. Requirements traceability is a branch of requirements engineering, which establishes relationships between requirements and design artifacts, implementation artifacts, and test cases. Traceability provides several benefits both in software and systems engineering, one of them is to provide change impact analysis. When a particular requirement changes, it is implied that the artifacts related with the requirement should also change. In this thesis, we provide a new methodology for requirements management and traceability. Although the methodology is applicable for different systems engineering domains, space mission requirements and spacecraft models are the main focus of this thesis. The methodology consists of three parts. In the first part, we cover traceability between requirements and model artifacts. Unlike existing traceability approaches, our methodology provides automatic validation. In the second part of the methodology, we introduce modeling on the basis of requirements. The last part of the methodology covers requirements-based artifact reuse. Besides our theoretical contribution, we provide a prototype tool implementation which includes the features of the methodology. In our evaluation, we demonstrate our contribution by integrating our tool with Virtual Satellite, a spacecraft modeling software developed by German Aerospace Center (DLR).
A Study on Batch Verification Scheme in Outsourced Encrypted Database

Outsourced database service helps data owners save initial investment in hardware, software and they are always supported by experienced staff. However, because the database is stored in the service provider's server and data owner(DO) have to retrieve data through the Internet environment, the owner's data may not be secure. A good way to protect their data is that data always are encrypted before storing. This leads to when data is queried, the owner must make sure returned data is valid. To do that, the returned results have to be verified. In this paper, we propose a batch verification scheme based on multiple hard problems, and offer that scheme to verify the outsourced encrypted database. Analysis and experimental results present the effectiveness of the proposed method in the case of dynamic database.
Using Open Source software to build networks and create impact in environmental science

Dr Jon Blower, Chief Technology Officer at the Institute for Environmental Analytics (IEA), talks about using the power of open data and Open Source software development to create new environmental applications, and foster collaborations with academia, the public sector and industry.
The Influence of Using Animal Card Media on the Ability of Mild Mental Retardatin to Write Simple Sentence

This study aims to assess influence the using animal car media on the ability of students with mild mental retardation to write the simple sentence. The study use a qualitative method by an experiment one group pretest-postest design. The data were analized by Wilcoxon signed ranks test. The result show that using animal card media have a significant influence to increasec the ability of students with mild mental retardatio to write the simple sentence.
Effectiveness of National Digital Library India (NDL) Portal in the field of Education and Research

Web portal is a gateway to search and locate information of in the digital era. Portal is playing a vital role as a hub to link desired contents. A well defined web portal facilitates user to access wide variety of web-enabled information resources. Here, an attempt has been made to create awareness about National Digital library (NDL) India portal. It attempts to cover major differences between website and portals, diverse learning materials and featured sources available for different category of users. Also tries to highlight the significant features of NDL portal.  It is attempt to provide an overview of NDL as a virtual repository of learning resources with a single-window search facility for different category of users and to highlight the procedures of providing access to e-content.
LibGuides: eBooks in Rose Library Catalog: Home

This guide lists information about the eBooks found in Rose Library's Catalog. Click on a title to access the book.
IMPLEMENTATION OF AUGMENTED REALITY TECHNOLOGY FOR HUMAN SKELETONS LEARNING BASED ON ANDROID

One of the materials taught in science lesson is about human skeletons. In the learning process of the human skeletal, teachers use props in the form of human skeletal models. With the development of technology, the use of human skeletal models can be replaced with digital models. Human skeletal models can be damaged either by deliberate or accidentally by age. The correct method for replacing the model of a human skeleton into a digital form is by using Augmented Reality technology, where Augmented Reality technology is capable of projecting 3-dimensional objects into the real world directly. The use of augmented reality technology is increasingly prevalent in the world of education, health, sales, and tourism. The results obtained in this study was the application could project 3-dimensional objects from the human skeleton that was divided into 4 parts of the skull, spine and ribs, the bone of the upper tool and the bone of the motion of the bottom of the marker. Based on the tests that have been done, it was concluded that a good distance in identifying markers between smartphones with markers is at a distance between 2-6 inches and marker slope of the smartphone is 00-600
USING TWITTER TO PROMOTE THE TEACHING-LEARNING OF SCIENTIFIC DISCIPLINES

C. Sánchez-AzquetaC. AldeaJ.L. Alejandre-MarcoA.I. Allueva-PinillaI. Álvarez-LanzaroteS. Bayarri-FernándezS. Ilarri-ArtigasM.T. Lozano-AlbalateA. Quintas-HijósR. Trillo-Lado
PROMOTING STUDENTS’ READING FLUENCY AND MOTIVATION THROUGH SHARED-READING WITH ANIMATED-VIDEO STORY (AN EXPERIMENTAL RESEARCH AT SMPN 7 LHOKSEUMAWE)

Abstract Name: Cut Iqa Martia Student No.: 1509200080023 Study Program: Master Degree in English Education Department/Program: English Education Title:Promoting Students’ Reading Fluency and Motivation through Shared Reading With Animated Video Story (An Experimental Research at SMPN 7 Lhokseumawe) Keywords: Reading Fluency, Shared Reading Strategy, Animated Video Story. This research was conducted to investigate whether there was a significant difference in achievement between students who are taught by using Shared Reading with Animated Video Story and those who are not taught by using Shared Reading with Animated Video Story in reading fluency in terms of accurate reading, reading speed and reading expression, and the motivation toward the use of Shared Reading with Animated Video Story in reading fluency. This research was quasi experimental research. The population of the research comprises 129 students; samples of the research were 41 students from population by using random sampling, 21 students in class 7C as experimental group, and 20 students in the class 7F as control group. The instruments used to collect the data were test and questionnaire. The data from the test were analyzed by using SPSS 23 to find the t-test score between two classes, experimental and control classes. The data from the questionnaire were also analyzed by using SPSS 23 to find the students’ responses toward the use of Shared Reading with Animated Video Story of experimental class. This fact is proven by the result of t-test, in which ttest (2.680) is higher than ttable (1.67). Utilizing independent samples t test, the sig. 2-tailed value (0,004) > (0.05). Moreover, the students had a quite positive responses (85%) toward the use of Shared Reading With Animated Video Story. To sum up, the implementation of shared reading strategy with animated video story is effective in improving students’ reading fluency and motivation. It is recommended that future related research should be conducted in more diverse educational settings to see how shared reading with animated video story is implemented.
FAKTOR-FAKTOR YANG MEMPENGARUHI KINERJA SISTEM INFORMASI AKUNTANSI (SIA) PADA DINAS KESEHATAN PROVINSI BALI

This study aims to determine the factors that influence the performance of accounting information systems at the Bali Provincial Health Office. The data used are primary data in the form of questionnaires. Sample selection using saturated sampling method, namely the technique of determining the sample if all members of the population are used as a sample of 30 employees of the public section and staff of the Bali provincial health office. The test results show that User Involvement, HR Capability, Top Management Support affect the performance of the Accounting Information System (SIA).
Offline Handwritten Gurumukhi Character Recognition System Using Convolution Neural Network

A lot of literature is available on the recognition of handwriting on scripts other than Indians, but the number of articles related to Indian scripts recognition such as Gurumukhi are much less. Gurumukhi is a religion-specific language that ranks 14th frequently spoken language in all languages of the world. In Gurumukhi script, some characters are alike to each other which makes recognition task very difficult. Therefore this article presents a novel approach for Gurumukhi character. This article lays emphasis on convolutional neural networks (CNN), which intend to obtain the features of given data samples and then its mapping is being performed to the right observation. In this approach, a dataset has been prepared for 10 Gurumukhi characters. The proposed methodology obtains a recognition accuracy of 99.34% on Gurumukhi characters images without making use of any post-processing method.
Explanatory Techniques for Machine Learning Models

Since the last decade, we are assisting a widespread use of “black box” Machine Learning algorithms, these are algorithms with excellent performance but whose outcomes are hard to understand to a human agent. However, there are some situation when it is important to understand why a certain output is given, and the field of explanability in Machine Learning has flourished in the last decade. In this work, we will go through some of these techniques. We will focus on model agnostic visualisation techniques introduced by Friedman (2001) and developed by Goldstein et al. (2015). Starting from the Partial Dependence plotting technique, we then analyse the Individual Conditional Expectation plot and its variants. Among them, we suggest the introduction of the so called “d-log-ICE” and we try identify scenarios where this techniques can bring better interpretability. We test our techniques on two models, the first one is based on the Boston Housing Dataset, and the second is an internal model at ABN Amro called “FLAG”.
AN ANALYSIS OF ILLOCUTIONARY ACTS IN SPOKEN DIALOGS IN AN ENGLISH TEXTBOOK

The study intends: (1) to investigate the illocutionary acts and illocutionary forces; (2) to investigate the direct and indirect acts realized in the spoken dialogs in the textbook Bahasa Inggris SMA/ MA/ SMK/ MAK Kelas XII ; and (3) to investigate whether the illocutionary forces fulfill the language functions in Basic Competence Curriculum 2013.This research was descriptive qualitative. The data was in the form of all utterances of the spoken dialogs. The main instrument is, hence, the researcher himself with the help of data sheet as the secondary  instrument. The data of this research were all the spoken dialogs. The data were then coded and analyzed by means of concept of illocutionary acts and the that of direct and indirect acts proposed by Searle (1979) with pragmatic identity method as proposed by Sudaryanto (1993/2009). Four types of illocutionary acts are found: representatives, expressives, directives, and commissives. Fourteen types of illocutionary forces are also found, namely stating an opinion, informing, reporting, explaining, describing, agreeing, greeting, leave-taking, stating surprise, thanking, sympathizing, commanding, requesting, suggesting, wishing, questioning, promising, and offering. Next, the direct acts dominate the utterances in the dialogs. From the research it is concluded that the textbook has fulfilled the language functions as stated in basic competence. Next, based on the findings of direct and indirect acts, the textbook has not realized the direct acts which influence the English natural conversations which lead to the authenticity.
학습자 간 문학 반응 공유 양상 연구

The purpose of this study is to research on the practical aspects of literary responses sharing among learners through comments on the Internet. As a result, the learner read the responses of the other person as if it were a literary text, while, at the same time, his responses was read as if it were the artist’s work; thus, they performed simultaneously the roles of producers and recipients of the literary responses. As the audience and producers of the responses, the learners were conscious of the independence of the appreciation report and asked whether the content organization and expressions were appropriate. In addition, the learners were able to confirm that they read the appreciation report of their colleagues while referring to the literary text and their own appreciation report. After completing the sharing of responses on the Internet, the learners refined and reconstructed their responses. Through this activity, the presence of the one who read one’s appreciation report meticulously showed that the learner cooperate in constructing response each other.
INTELLIGENT PLATFORM EVALUATION FOR SELF-REGULATED LEARNING IN PRIMARY EDUCATION

Appears in: ICERI2019 Proceedings Publication year: 2019Page: 8997ISBN: 978-84-09-14755-7ISSN: 2340-1095doi: 10.21125/iceri.2019.2160Conference name: 12th annual International Conference of Education, Research and InnovationDates: 11-13 November, 2019Location: Seville, Spain
Hands-On Games for Motivating Students' Math Training

The paper dwells on hands-on computer games to promote students' motivation when studying mathematics. The authors emphasize the necessity of consistent actualizing of practice covering university math study. The revision is possible if students become involved in learning mathematics as active participants but not who are just imparted math skills. The required technique contains three components, which include solving applied problems, using information technologies and a kind of students' exercises innovation. The authors describe a computer game in teaching Optimization Techniques as an example used for engineering students. Solving true-to-life problems, modern information technologies and young people's passion for gadgets allows increasing their contribution to learning activities. The research proved the efficiency of such games in teaching mathematics. In particular, qualitative academic progress in the experimental group has increased by 11%. Using hands-on computer games lets the lecturers' present mathematics as a universal language to study natural and social phenomena.
Solving diffusion problems using method of finite differences

The paper looks at a mathematical model for the stationary problem of determining neutron density distribution in a one-dimensional reactor. The model is presented in the Mathcad engineering math software. Solving the problem helps to determine processes going on in the reactor. This will help to foresee and evaluate possible consequences and eliminate or neutralize them, and also to suggest practical recommendations for reactor design. The paper stresses computer technologies employed in education. Embedding computer math systems into lectures and seminar classes increases the level of knowledge acquisition among students. The model may be successfully used in the form of digital technologies in education.
The use of HTS-tape as a sample for a laboratory workshop

Abstract The suitability of the process use HST tape in the development of a laboratory workshop on general physics course. A sample transfer test bench for the HST tape included: a vessel with liquid nitrogen, a stabilized power supply, a microvoltmeter to measure the potential difference on the sample, a thermocouple (copper/copper-nickel) and a millivoltmeter to measure thermoelectric effect. The temperature of the sample and the potential difference on it were measured simultaneously.