Reviewerly/exHarmony huggingface dataset:
Single Image Dehazing with V-transform and Dark Channel Prior

Abstract Single image dehazing algorithm based on the dark channel prior may cause block effect and color distortion. To improve these limitations, this paper proposes a single image dehazing algorithm based on the V-transform and the dark channel prior, in which a hazy RGB image is converted into the HSI color space, and each component H, I and S is processed separately. The hue component H remains unchanged, the saturation component S is stretched after being denoised by a median filter. In the procession of intensity component, a quad-tree algorithm is presented to estimate the atmospheric light, the dark channel prior and the V-transform are used to estimate the transmission map. To reduce the computational complexity, the intensity component I is decomposed by the V-transform first, coarse transmission map is then estimated by applying the dark channel prior on the low frequency reconstruction image, and the guided filter is finally employed to refine the coarse transmission map. For images with sky regions, the haze removal effectiveness can be greatly improved by just increasing the minimum value of the transmission map. The proposed algorithm has low time complexity and performs well on a wide variety of images. The recovered images have more nature color and less color distortion compared with some state-of-the-art methods.
Autonomous distributed systems and their simulation

The development and actual testing of autonomous distributed systems is difficult, long, and expensive.Simulators can save time, the development and testing efforts, as well as bring the overall costs down.This paper describes an approach to designing and testing autonomous distributed systems.The design of such systems is based on organization model.For testing such systems, we developed DiSy-Sim simulator.Specifically, DiSy-Sim simulator simplifies testing of communication between system components by providing statistics on messages being used in communication.We demonstrate the use of the simulator for a swarm system of autonomous drones used for disaster relief aid delivery.DiSy-Sim simulator is applicable for a variety of distributed systems.
Scaling Language Data Import/Export with a Data Transformer Interface

This paper focuses on the technical improvement of Elpis, a language technology which assists people in the process of transcription, particularly for low-resource language documentation situations. To provide better support for the diversity of file formats encountered by people working to document the world’s languages, a Data Transformer interface has been developed to abstract the complexities of designing individual data import scripts. This work took place as part of a larger project of code quality improvement and the publication of template code that can be used for development of other language technologies.
On the Application of Mobile Learning to College Oral English Teaching

Social Constructivism claims that learning is constructed during the interaction between people and the environment. The rapid development of the Internet and mobile technologies provide students with an ideal learning environment for such interaction. Therefore, Mobile learning should be integrated into traditional language teaching. In tertiary EFL settings, oral English is often considered a skill students want to develop most. The paper explores one possible model of integrating Mobile Learning into college oral English teaching through a mobile teaching APP called “Mosotech”. A three-stage teaching process is designed and carried out in this integration model. The end-of-term evaluation shows about 83% of students rated this integration as Very Helpful and Helpful. Suggestions are put forward on better implementation of this blended oral English teaching.
Exploiting the Trust Between Boundaries

TrustScope is a new, a practical approach to identifying vulnerabilities in printer firmware without actually touching the firmware. By exploiting the trust between the firmware and the device drivers, TrustScope analyzes driver software to identify the driver endpoints that output the page description language (PDL) code to be sent to the printer, extracts key constraints for this output, generates new inputs violating these constraints, and fuzzes the printer firmware with malicious PDL code composed with these inputs yet conforming to the grammar of the PDL accepted by the printer. To accommodate the black-box nature of printers, printer behavior is observed strictly externally, allowing TrustScope to detect more vulnerabilities than only those that produce crashes. A variety of key optimizations, such as fuzzing without consuming paper and ink, and offline test case generation, make printer vulnerability detection feasible and practical. An implementation of TrustScope tested with 8 different printers reveals at least one test case causing anomalous behavior in every printer tested. For most printers it finds multiple vulnerabilities, 6 of which have been assigned CVE numbers, including buffer overflow and information disclosure.
Using Multilayer Perceptron and Deep Neural Networks for the Diagnosis of Breast Cancer Classification

The very long delay that is suffered by patients of breast cancer in their early stages in low-income countries is due to access barriers and quality deficiencies in the care of cancer giving rise to the need for an alternative and efficient computer-based diagnostic system for the early detection and prevention of the disease.The early detection and improved therapy still remain a crucial approach for the prevention and cure of breast cancer.To this end, recent research looks into the development of different classifier models for the classification of breast cancer.This paper investigates the potentials of applying multiple neural network architectures with increased number of hidden layers and hidden units.The network architectures have one-hidden-layer, two-hidden-layer and three hidden layer (deep neural network) architectures respectively using the backpropagation training algorithm for the training of the models.The experimental results show that by applying this approach the models yield efficient and promising results
Discrepancy Model in Program Evaluation of school Literacy Movement at SMP Negeri 5 and SMP Pasundan 2 Cimahi City

Indonesian people generally do not have a strong tradition of literacy. This phenomenon also applies to students at school. For this reason, Indonesia government hasinitiated a program of Gerakan Literasi Sekolah or School Literacy Movement (GLS) since 2016. The program aims to build schools as learning organizations for entire academic communities to be more literate through public involvement. However, there is an indication of inconsistency in its implementation between the expected ideals and the implementation practices. This research is conducted to evaluate the implementation of GLS program in SMP Negeri 5 and SMP Pasundan 2 of Cimahi City. By using the Discrepancy Model, the program evaluation is intended to inquire how the compatibility between the expected standards and the actual performance of the program. The advantages of this research can hopefully be beneficial both academically and practically, especially as information and recommendation for all program stakeholders. The findings of this study indicate that the GLS program is implemented by the two schools, but the implementation process is not optimal and there is a gap between the expected standards and the performance of the program. The 15 minutes reading activity that should be carried out every day has not been running consistently and systematically. In fact, the schools have mostly provided support and facilities that adequately meet standards from the physical, academic and social aspects. However, the existing facilities for literacy activities have not had a significant influence on the internalization of the literacy culture of all existing stakeholders, especially students.
NFC TECHNOLOGY ON INTEGRATED E-KTP FOR HEALTH SERVICE POST IN INDONESIA BASED ANDROID

Integrated Service Post is a form of Community Based Effort implemented by, from and with the community, to empower and provide benefits for the community to provide health services for mothers, infants and toddlers. In the implementation of posyandu activities is still manual often posyandu officers about difficulties in terms of data recording and reporting data such as data posyandu patients are missing, unreadable, not written and not running properly. In this research, the application of integrated posyandu application with technology of field-based (NFC) android-based communication. Utilization of NFC technology allows to e-ktp with the data collection process can be done quickly and precisely. Posyandu application based on this android will also facilitate the officers in doing data recording just by using android smartphone posyandu officers which in addition this application can also be part of the smart city support application Depok.
Demonstration of ElastOscillation: A VR Controller Providing 3D Multilevel Feedback for Damped Oscillation

We propose ElastOscillation, mounted on a virtual reality(VR) controller to provide 3D multilevel force feedback for damped oscillation to enhance VR experiences. ElastOscillation consists of a proxy, six elastic bands and DC motors. It leverages the motors to control the bands' elasticity to restrain the movement of the proxy, which is connected with the bands. Therefore, when users shake the ElastOscillation device, the proxy shakes or moves in the corresponding movement ranges or levels. The users then perceive the force from oscillation in different levels. In addition, elastic force from the bands further reinforces the oscillation force feedback. In the demonstration, users can explore four VR applications that feel the sensation of pan-flipping, bartender-shaking, wine-swirling and fishing.
2015 개정 교육과정 기본어휘 목록 및 고등학교 영어 교과서 어휘동사 사용 분석: COCA 핵심학업동사에 기초하여

This paper analyses the lexical verbs in the guided word list of the 2015 Revised English Curriculum and high school English textbooks on the basis of the high frequency 200 lexical verbs extracted from the core academic words in the Corpus of Contemporary American English [COCA]. Lexical verbs are key words in determining sentence structures and meanings. In particular, this research focuses on academic verbs the knowledge of which is important for EFL learners’ academic achievement. The following questions are dealt with in this paper: 1) What changes occur in the distribution of high frequency core academic verbs in the guided word list? 2) Which verbs are classified as career development and technical words? 3) What are the properties of the academic verbs used in the high school textbooks of , and in terms of frequency? and 4) With regard to EFL learners’ vocabulary learning, why should we be concerned with academic verbs classified as elementary-level words? The findings reveal that 35% of the 200 core academic verbs are used in the series of high school English textbooks, which means that a thorough learning of the general lexical verbs is important from a pedagogical perspective in the EFL situation. Furthermore, a diverse use of more core academic verbs is required in high school English textbooks.
Experimental research of optimizing the Apache Spark tuning: RDD vs data frames

In this paper results and analysis of experimental research for determining the effectiveness of changing the parameters (as compared to standard values) of tuning Apache Spark for minimizing application execution time have been presented.The structure of a test dataset has been developed using RDD and Data Frames, based on which it is possible to create during a minimal time text files with a size greater than 4 GB having properties (characteristics) set up for testing.A peculiarity of test data is the fact that they often reflect basic properties of real world problems.The investigation includes 2 stages: at the first stage a comparative analysis of RDD and Data Frames is carried out for the standard settings of Apache Spark; at the second stage experiments for different sizes of an input test dataset for assessing the influence of parallelism levels, a block size in HDFS and the parameter spark.sql.shuffle.partitions in Spark Data Frames have been conducted.The obtained results substantiate the influence of the spark.sql.shuffle.partitionsvalue on the test task execution performance.For this parameter ranges and change trends have been found.Also, levels of parallelism that maximally influence the execution time have been determined.It has been proven that for certain sizes of input test files the size of an HDFS block can be set up by default.Results of computational experiments have been demonstrated in tables and graphs.They confirm the effectiveness of the suggested changes to the Apache Spark settings as compared with the standard ones for different sizes of tested files.
Measuring the Cost of Software Vulnerabilities

Enterprises are increasingly considering security as an added cost, making it necessary for those enterprises to see a tangible incentive in adopting security measures.Despite data breach laws, prior studies have suggested that only 4% of reported data breach incidents have resulted in litigation in federal courts, showing the limited legal ramifications of security breaches and vulnerabilities.In this paper, we study the hidden cost of software vulnerabilities reported in the National Vulnerability Database (NVD) through stock price analysis.We perform a high-fidelity data augmentation to ensure data reliability and to estimate vulnerability disclosure dates as a baseline for estimating the implication of software vulnerabilities.We further build a model for stock price prediction using the nonlinear autoregressive neural network with exogenous factors (NARX) Neural Network model to estimate the effect of vulnerability disclosure on the stock price.Compared to prior work, which relies on linear regression models, our approach is shown to provide better prediction performance.Our analysis also shows that the effect of vulnerabilities on vendors varies, and greatly depends on the specific software industry.Whereas some industries are shown statistically to be affected negatively by the release of software vulnerabilities, even when those vulnerabilities are not broadly covered by the media, some others were not affected at all.
ZNANSTVENA I STRUČNA PRODUKCIJA HRVATSKIH AUTORA U PODRUČJU STARE I RIJETKE KNJIŽNIČNE GRAĐE

This book is dedicated to Mirna Willer on the occasion of her retirement as an expression of gratitude for her outstanding contribution to the development of information and communication sciences, the development of various professional practices, and dedicated teaching and pedagogical work.Mirna started her career as a librarian at the National and University Library in Zagreb in 1978, and gained her first experience cataloguing legal deposits (Jugoslavica) and foreign books at the Book Cataloguing Department. Building on that experience, she became a systems librarian and then a library consultant for computerization. In these statuses, in the period 1980-2007 she was in charge of the development of library information systems of the Library and standardization. After successfully completing the incorporation of Croatian cataloguing rules into UNIMARC formats for bibliographic and authority data, she participated in their implementation in the library information system of the Library. In co-operation with the University Computing Center of the University of Zagreb (Srce), she encouraged and coordinated the establishment of the Croatian Web Archive (HAW - Hrvatski arhiv weba). Since 2007 she worked as a professor of Bibliographic Information Organization at the Department of Information Sciences at the J. J. Strossmayer University of Osijek and at the Department of Information Sciences at the University of Zadar. From 2008 until her retirement in 2018 she worked in undergraduate, graduate and postgraduate study programmes at the Department of Information Sciences at the University of Zadar.
Vocabulary Knowledge and Learning Strategies of Senior High School Students

Vocabulary knowledge is crucial in the understanding of a material and in the development of the macro-skills, most especially reading.When reading, a person may overestimate or underestimate his/ her vocabulary knowledge, thinking that she/ he knows the meaning of words in the text.Also, to repair the lack of knowledge of a word in the text and to ensure comprehension, she/ he may use vocabulary-learning strategies (VLS).This basic qualitative study aimed to identify and compare the presumed vocabulary knowledge and actual vocabulary knowledge and the VLS of grade 12 students of Angeles City, Philippines.To answer research questions, the researchers used an expository reading text, a semi-structured interview guide, and a researcher-made vocabulary test as instruments.They also utilized descriptive statistics and inductive and thematic analysis of qualitative data.Findings of this study reveal that the participants' presumed vocabulary knowledge ranges from 57% to 97% of the self-reported unfamiliar words while their actual vocabulary knowledge ranges from 50% to 91%, which presumed vocabulary knowledge is higher than actual vocabulary knowledge, and that participants use eight VLS classified into themes.These results imply the need to enhance the curriculum, specifically on vocabulary, to facilitate learning of strategies and to provide more practice of the VLS through reading.
RGB-D 센서를 이용한 이동로봇의 안전한 엘리베이터 승하차

Getting on and off an elevator is one of the most important parts for multi-floor navigation of a mobile robot. In this study, we proposed the method for the pose recognition of elevator doors, safe path planning, and motion estimation of a robot using RGB-D sensors in order to safely get on and off the elevator. The accurate pose of the elevator doors is recognized using a particle filter algorithm. After the elevator door is open, the robot builds an occupancy grid map including the internal environments of the elevator to generate a safe path. The safe path prevents collision with obstacles in the elevator. While the robot gets on and off the elevator, the robot uses the optical flow algorithm of the floor image to detect the state that the robot cannot move due to an elevator door sill. The experimental results in various experiments show that the proposed method enables the robot to get on and off the elevator safely.
Creating inclusive institutions

The paper gives an overview of institutions observed in value chain models in the course of action research by the University of the Philippines Center for Integrative and Development Studies (UP CIDS) Program on Escaping the Middle-Income Trap: Chains for Change (EMIT:C4C). It reviews key concepts and principles from new institutional economics (NIE) and other schools of institutionalism and illustrates these through observed examples from the models. Key concepts are drawn from the work of North (1990), Ostrom (1990, 1999), Greif (1993, 2005), and Coase (1937, 2005). Concepts found in the Sociology and Political Science (e.g., social homogeneity and polyvalent ties) are also introduced and pursued when relevant.
Cyberhate and cyberbullying: joint propensity and reciprocal amplification. Full panel: victims and perpetrators of hate speech

Research has shown for decades that regardless of culture, country, analytical and statistical methods both perpetration and victimization are highly associated. However, less attention has been given to the possible associations between cyberhate victimization and perpetration. In agreement with the Social Learning Theory, cyberhate victims may become more aggressive and perpetrate cyberhate as they have learned these behaviors as a result of their victimization. Further, borrowing from Problem Behaviour Theory, this association may also be in line with other associated risk behaviors, such as, cyberbullying perpetration. A total of N = 1480 German students between 12 and 17 years old participated in this study. Cyberhate victimization, perpetration and cyberbullying perpetration were assessed via self-report items. Cyberhate victimization was the IV, cyberhate perpetration was the DV, and cyberbullying perpetration was the moderator, while controlling for participants’ age, sex, migration background, and socioeconomic background. Moderation analysis was examined using SPSS Process Macro. Increases in cyberhate victimization were positively related to cyberhate perpetration (b=0.16***). Cyberbullying perpetration was positively associated with cyberhate perpetration (b=0.15***). Significant moderation effects were found between cyberhate victimization and cyberbullying perpetration when predicting cyberhate perpetration (b=0.12***). Cyberhate victims reported more cyberhate perpetration when they reported higher levels of cyberbullying perpetration (b=0.28***) and less frequent cyberhate perpetration when they reported lower levels of cyberbullying perpetration (b=0.16***). Our findings suggest amplifying effects between cyberhate and cyberbullying and, in line with notions of a common risk propensity in adolescence, emphasize the need for intervention programs to address shared vulnerability factors.
How to Download & Install MX Player on FireStick (in 2020)

MX Player for Android devices is one of the most reliable video players, and having MX Player for Firestick will greatly enhance your watching ...
LibGuides: Open Access Resources: Facts and Figures

Unrestricted online access to research outputs such as websites, journal articles and books.
Application of vertigo diagnosis and treatment system for benign paroxysmal positional vertigo in the elderly

ObjectiveTo evaluate the efficacy of vertigo diagnosis and treatment system for benign paroxysmal positional vertigo (BPPV) in the elderly.Methods360 patients admitted from September 2018 to March 2019 in Zhejiang Hospital diagnosed as BPPV were included. There were 183 elder patients and 177 young patients. Among the elderly BPPV patients, 98 patients were treated with vertigo diagnosis and treatment system (group A) and 85 patients were treated with manual repositioning (group B).The young patients were treated with vertigo diagnosis and treatment system (group C). The reposition effects of the 3 groups were observed and compared, and the recurrences were followed up for 6 months. Analysis of variance was used for comparison of measurement data between groups, Kruskal-Wallis H test and chi-square test were used for comparison of count data.ResultsWhile using vertigo diagnosis and treatment system for reposition treatment, there was no statistically significant difference in the total first-time and second-time reposition effective rates between the elderly and the young and middle-aged patients with BPPV, as well as patients with different subtypes of BPPV (allP > 0.05). Compared with the elderly BPPV patients with manual treatment, the total first-time reposition effective rates of elderly patients with vertigo diagnosis and treatment system and the first-time reposition effective rates of pc-BPPV subtype were significantly higher, and the differences were statistically significant (χ2=4.352、5.694, allP 0.05). After 6 months of follow-up, there were no significant differences in the reposition effective rates among group A and groups B, group C (χ2=1.225, 1.262,P> 0.05); and there was no significant differences in the reposition effective rates of BPPV patients in each subtype of groups A and B (χ2=1.286, 0.019, 0.014,P> 0.05).ConclusionVertigo diagnosis and treatment system has good short-term curative effect and stable long-term curative effect for elder BBPV patients. It has a high probability of success, and is safe and easy to perform.Key words: Benign paroxysmal positional vertigo; Dix-Hallpike test; Roll test; Vertigo diagnosis and treatment system