Reviewerly/exHarmony huggingface dataset:
Evaluation of Satisfaction Survey of Decision-Making Meteorological Services in Shaanxi Province, China in 2017

In China, decision-making meteorological services provide meteorological information for the production organization, disaster prevention and mitigation by the CPC committee, government, military leaders and decision-making departments at all levels, as well as scientific decision-making in the areas of rational development and utilization of climate resources and environmental protection.In order to understand the user's satisfaction with the decision-making meteorological service, the Shaanxi Provincial Meteorological Bureau conducted a statistical survey, and the results showed that: 1) In 2017, the satisfaction level of provincial-level decision-making meteorological services in Shaanxi, China was 92.77%.Among them, the satisfaction index of "Ministry Department Service Personnel Professional Image and Service Awareness" was 94.12%, and the "Weather Forecast Warning Accuracy" satisfaction index was 90.18%.2) Decision-making users have become an important channel for obtaining meteorological information through meteorological websites, televisions, mobile phone text messages, APP mobile applications, broadcasting, and Meteorological Information Express.Rainstorms, floods, high temperature heat, cold winds, hail, precipitation, and lightning are still the main concerns of decision-makers.3) The focus on haze and UV intensity is 15% and 8% higher than that of 2016.The next 1 -3 days weather forecast and 0 -6 hours short-term forecast are still the most valuable forecast products for decision-making users.Compared with 2016, the next 1 -3 days weather forecast, future 0 -6 hours forecast, traffic meteorology, precipitation probability, and air quality forecast increase by 1% to 14% in the year of 2017.
Steganography and Steganalysis through XMP

Steganography and cryptography are two different techniques for hide the secret data.If provide the dual data security so using the combination of both techniques such that steganography and cryptography.The cover image is encrypted through the Advanced Encryption Standard (AES) encryption with CBC mode.Encrypted data (secret data) can be hide using the Extensible Metadata Method (XMP) is performed on to the cover image.The cryptography algorithm Encrypt data with the help of a key which can be use for the authenticate purpose.Only an authenticate user can be decrypt the secret data because of the key must be same if not then data will not be decrypted.The combination of the both these algorithm will provide huge amount of security, robustness, integrity and capacity of embedding the data.
Evaluation Of Dlx Microprocessor Instructions Efficiency For Image Compression

Abstract Internet of things (IoT) nowadays uses a generic microprocessor, which is applicable for general purpose and produces many machine instructions. Likewise, IoT can also be integrated on ASIC (Applicationspecific integrated circuit) which is customized for partial use. ASIC is hardcoded, meaning that the program cannot be modified, therefore it tends to consume less power compared to generic microprocessor. This thesis considers a compression for an image of CCTV, which is using a microprocessor that is designed for a specific and general purposes as the compression. Compressing image is required to reduce the size of the original image. This thesis uses the Deluxe (DLX) microprocessor with a high performance to design an image compressor, and the machine instructions were determined with a specific algorithm. The compression uses Joint Photographic Experts Group (JPEG) format lossy compression, which is the most commonly used to compress multimedia data. The proposed compression method is Huffman Coding, coded in the assembly DLX programming language. DCT and Quantization are needed to be simulated in image processing tool to do the Huffman coding process. Then, the result data can be processed into Huffman. The result of this stage is by using Huffman Coding in the DLX microprocessor, it requires total of 11657 cycles executed by 8622 instructions. Thus, with such specific machine instructions, the performance of DLX microprocessor to execute Huffman Coding can be efficient. Keywords: IoT, DLX microprocessor, Huffman Coding, image compression, JPEG.
Variational Autoencoder for unsupervised anomaly detection

The variational autoencoder is a generative model that is able to produce examples that are similar to the ones in the training set, yet that were not present in the original dataset. While this model has many use cases in this thesis the focus is on anomaly detection and how to use the variational autoencoder for that purpose. In the first part various state of the art anomaly detection algorithms are presented, in the second part the structure and the functioning of the variational autoencoder are presented, along with a comparison with the classic autoencoder. The details on how to exploit the variational autoncoder as an anomaly detection tool are also described in this part. In the third part experiments carried out with different datasets and different architectures are shown. In the last part a new use case is proposed, in particular on how to use the variational autoencoder to perform semantic novelty detection in a natural language processing context.
Layar: Augmented Reality Application for Converting Print Material into Interactive Print Material

As technology becomes increasingly available and digital information expands on a daily basis, academic library use is on the decline. A nationwide report in March 2004 indicated that over the previous 10 year period, overall library usage declined 21% and circulation fell 35%. The report further claimed that libraries within the United Kingdom could be unused and irrelevant by 2020. Research libraries on college and university campuses are finding that “gate counts and circulation of traditional materials are falling at many college libraries across the country, as students find new study spaces in dorm rooms or apartments, coffee shops, or nearby bookstores. the era of a new type of library with a new structure of knowledge and practical use such as digital library, e-library, multimedia library, virtual library, hybrid library etc. a library that existed only on the internet without any kind of physical presence at all. So that physical use may have been reasonably expected to decline in recent years. So where does all of this leave the real libraries—with real buildings, real collections of paper books, real librarians and staff, and the millions of real people who use them? It is we, the librarians, who came up with the whole idea of equitable access to information, who knew it was important to preserve the written record, to find ways of identifying it and making it accessible. Augmented Reality and Interactive Print, helping to bridge the gap between the print and digital worlds and Layar app helps to convert print material into interactive print material [3]. This paper shows that how to convert print material into interactive print material using Layar app. Keywords: Layar apps, Augmented Reality App, Academic library Cite this Article Santosh Kharat. Layar: Augmented Reality Application for Converting Print Material into Interactive Print Material. Journal of Advancements in Library Sciences. 2019; 6(Special Issue 1): 149s–154s.
Black and white box: Take good gross pathology photographs

Abstract Macroscopic study of surgical samples sent to the histopathology lab provides the first diagnostic approach. Obtaining quality photographs of these pieces facilitates proper case documentation for publication, sharing, teaching and research.This device has been originally designed for enucleated eyes but it could be used for a wide diversity of human or animal samples including thyroids, pituitary glands, prostates… It can be coupled to any smartphone camera.The Black and White Box is an affordable and easy option for taking gross pathology photographs of high quality. In this work we provide full instructions on how to make it.
Enchantment of Magento CMS Security

Magento is a CMS (Content Management System) platform used to create e-commerce websites and online stores.With it, users can fully manage their online store, display specific products, provide customers with different methods of payment and delivery, as well as many other options.Magento uses an authentication system based on the knowledge of the user name and password.In addition to increasing this problem, there is no mechanism that prevents an attacker from brute forcing passwords.The proposed solution is replacing default Magento authentication with OAuth.
Quantitative evaluation of different thresholding methods using automatic reference image creation via PCA

This article proposes a principal component analysis-based automatic approach to generate reference image for evaluating different thresholding techniques. Twenty one thresholding methods have been considered for reference image creation and evaluated using five standard performance indices. Literature suggests a few performance measures, among which F-measure, modified Hausdorff distance, edge mismatch error, relative area error and object level consistency error are popular. However, correlation analysis of these metrics reveal that only F-measure, modified Hausdorff distance and edge mismatch error retain non-redundant information. Thus the best thresholding method can be determined from these three indices for different types of images, automatically. Experimental results demonstrate the potential of different thresholding methods and select the best binary segmentation technique for particular type of image set.
Reducing Sampling Error in Policy Gradient Learning

This paper studies a class of reinforcement learning algorithms known as policy gradient methods. Policy gradient methods optimize the performance of a policy by estimating the gradient of the expected return with respect to the policy parameters. One of the core challenges of applying policy gradient methods is obtaining an accurate estimate of this gradient. Most policy gradient methods rely on Monte Carlo sampling to estimate this gradient. When only a limited number of environment steps can be collected, Monte Carlo policy gradient estimates may suffer from sampling error -- samples receive more or less weight than they will in expectation. In this paper, we introduce the Sampling Error Corrected policy gradient estimator that corrects the inaccurate Monte Carlo weights. Our approach treats the observed data as if it were generated by a different policy than the policy that actually generated the data. It then uses importance sampling between the two -- in the process correcting the inaccurate Monte Carlo weights. Under a limiting set of assumptions we can show that this gradient estimator will have lower variance than the Monte Carlo gradient estimator. We show experimentally that our approach improves the learning speed of two policy gradient methods compared to standard Monte Carlo sampling even when the theoretical assumptions fail to hold.
Developing a meta-language in multidisciplinary research projects: the case study of READ-IT

This paper presents the philosophical analysis carried out to analyse the stakeholders’ needs within the READ-IT project to inform the design of an information management system (IMS) for multidisciplinary research on the reading experience in Europe. The presented approach is aimed to build a metalanguage representing the reading under different perspectives for enabling researchers in collaboratively working on data sources tracking the reading phenomenon. The construction of the metalanguage is made through a reasoning-based process of analysis and synthesis of vocabulary, concepts and theories from multiple domains, recomposed in an interactional model of the researchers as intended users of the system, the data sources on reading and the role of technology in between.
WebRTC IP Address Handling Extensions for Multicast DNS

This document extends the previous WebRTC IP Address HandlingRequirements with new modes that make use of Multicast DNS ICEcandidates, and updates the recommendations accordingly.
Pooling-Based Feature Extraction and Coarse-to-fine Patch Matching for Optical Flow Estimation

This paper presents a pooling-based hierarchical model to extract a dense matching set for optical flow estimation. The proposed model down-samples basic image features (gradient and colour) with min and max pooling, to maintain distinctive visual features from the original resolution to the highly down-sampled layers. Subsequently, patch descriptors are extracted from the pooling results for coarse-to-fine patch matching. In the matching process, the local optimum correspondence of patches is found with a four-step search, and then refined by a velocity propagation algorithm. This paper also presents a method to detect matching outliers by checking the consistency of motion-based and colour-based segmentation. We evaluate the proposed method on two benchmarks, MPI-Sintel and Kitti-2015, using two criteria: the matching accuracy and the accuracy of the resulting optical flow estimation. The results indicate that the proposed method is more efficient, produces more matches than the existing algorithms, and improves significantly the accuracy of optical flow estimation.
National Bibliography in Brazil and Sri Lanka in Electronic Age

It treats about current and general national bibliography in Brazil and Sri Lanka. It compares both national bibliography due to IFLA guidelines to answer: how the Brazil and Sri Lanka National Bibliographies are organized? This qualitative research is based on the International and Comparative Librarianship approach. From IFLA Guidelines, we identified six dimensions to compare similarities and differences between the National Bibliographies. Brazilian National Bibliography is provided through the current National Library's OPAC and Sri Lanka produces monthly its own national publishing. Since the obligation of legal deposit and the task of bibliographic record, both National Bibliographies provide social benefits such as national safeguard.
PHP License of use – Open Source

PHP is a free language. This term refers to the type of license that has, basically, three points or freedoms
Data mining for road accident analysis in a big data context

Data Mining techniques and extracting association rules from a big dataset play an interesting role in knowledge discovery.Therefore, the decision makers encounter a huge number of resulting association rules that can make them unable to choose and decide rationally between these different extracted rules, also the time of the generation of these association rules brings a new challenge, we propose to overcome these challenges a learning model based on FP-growth algorithm using Apache Spark framework, in order to analyze data and extract interesting association rules by taking into account some quality measures.Experimental results on road accident data in France show that the proposed approach can provide useful information that could help the decision makers to choose the appropriate strategies in the perspective of improving road safety.
eAGRO – Web Application for Agriculture

The main idea of this project is to adapt to the current state of agriculture in Serbia.Animal abuse, usage of dangerous pesticides and global warming have become more evident than ever through new studies and subsequent documentaries.This has sparked a new wave of regulations and laws, as well as a new trend of organic food and a greater need for sustainability.People still often operate in the gray area of the law and corporations are known to take advantage of farmers.The goal of this project is to provide people with a platform that could help people put themselves on the map, promote communities of farmers and protect the interests of all members in the industry, from the producers to the consumers.Furthermore, this project serves as a way to adapt new trends and satisfy new customer demands.This document contains the purpose, the scope and the design of the project.In addition, this document includes the execution, current progress and the plan for finishing the task at hand.
THE USE OF PICTURE SERIES TO IMPROVE STUDENTS’ SPEAKING SKILL IN TEACHING RECOUNT TEXT AT THE FIRST GRADE OF SMA KARTIKATAMA METRO

Speaking is one of language skills which is considered difficult for the learners. It is because speaking skill includes many complex aspects. And also, the students have difficulty in expressing their ideas. Due to that matter, this research proposed picture series technique to improve students’ speaking skill. The aims of this study are to find out whether there was any significant improvement on students’ speaking skill after being taught by using picture series and to investigate which aspect of speaking skill improved the most and the least after being taught by using picture series. This research is quantitative research. The design used was one group pretest posttest with 19 students of 10 IPA 2 at SMA Kartikatama Metro in 2018/2019 academic year as the subject. The speaking test was used as the instrument. The data in form of scores were analyzed by using Paired Sample t-test. The result showed there was statistically significant improvement of the students’ speaking skill in recount text viewed from pretest score to the posttest score (33.15 to 66) after they were taught by using picture series. The result also shows that comprehension was the aspect that improved the most and pronunciation improved the least. Comprehension improved the most because most of the students were able to understand the teachers’ intention in general meaning, it means that the students could understand well the whole story. Besides, pronunciation improved the least because the students pronounced many words wrongly that became the fossilization in the students’ mind. It can be concluded that teaching recount text by using picture series can be applied to students at SMA level to develop their speaking skill and recommended as one of references to teach English in speaking class. Keywords: picture series, speaking skill, recount text, aspects of speaking.
A Cross tenant Secure Data Sharing Scheme Using Cloud Resource Mediation Service

Most cloud services are built with multi-tenancy which enables data and configuration segregation upon shared infrastructure. Each tenant essentially operates in an individual silo without interacting with other tenants. However, outsourcing data to a third-party administrative control entails serious security concerns. Data leakage may occur due to attacks by other users and machines in the cloud. Consequently, high-level of security measures is required. Resource sharing on the cloud can be achieved on a large scale as this is location independent and cost effective. In this paper, we propose a cloud resource mediation service (CRMS) which is offered by the cloud service providers (CSP), which acts as the role of trusted third party among their various tenant members. This specific model determines the asset sharing information between two different tenants within the sight of our proposed cloud resource mediation service. The correctness of activation and delegation mechanism is done by four distinct algorithm (Activation, Delegation, Forward Revocation and Backward Revocation) is also illustrated using formal verification.
Research Guides: Assignment | Bill Tracking Project (Ross): MLA Citation & Format

Spring 2019 | GOVT 2306 | Professor Ross A quick primer on following MLA style for your paper.
From Passive to Active, From Generic to Focussed: How Can an Institutional Data Archive Remain Relevant in a Rapidly Evolving Landscape?

Founded in 2008 as an initiative of the libraries of three of the four technical universities in the Netherlands, the 4TU.Centre for Research Data (4TU.Research Data) has provided a fully operational, cross-institutional, long-term archive since 2010, storing data from all subjects in applied sciences and engineering. Presently, over 90% of the data in the archive is geoscientific data coded in netCDF (Network Common Data Form) â€“ a data format and data model that, although generic, is mostly used in climate, ocean and atmospheric sciences. In this practice paper, we explore the question of how 4TU.Research Data can stay relevant and forward-looking in a rapidly evolving research data management landscape. In particular, we describe the motivation behind this question and how we propose to address it.
PENGEMBANGAN MODEL KONSERVASI KESEJARAHAN DI SEMARANG BERBASIS TEKNOLOGI INFORMASI

Semarang has various historical relics and cultural heritages stretching from the Hindu-Buddhist period to contemporary times. The cultural heritage has a strategic meaning in shaping the identity of the city and community in Semarang. With the existence of cultural heritage, society is expected to be able to absorb the values and meanings implied in it. The value is the value of care for the environment and the culture around it. However, community knowledge about the cultural heritages in Semarang City is constrained when information about historical relics is not presented systematically, comprehensively, and easily accessible. Therefore, through this research we aim to: (1) analyze the needs of the community related to cultural heritage information in Semarang City; (2) identify and inventory the existing cultural heritage in Semarang City; (3) developing a model of cultural heritage information system in Semarang City; (4) to analyze the effectiveness of cultural heritage information system model in Semarang City.
E-Learning: Tools and Techniques in LIS Education

E-Learning is the convergence of the Internet and learning. The learning can be on any level, say elementary school, college or corporate and or can be imparted through the library as a central facility. E-Learning gives companies and individuals advantages over the competition in the market. This is because the learning that is provided electronically is cost- effective, and can be available to anyone, anywhere, anytime, and gives flexibility to the learner in terms of timings and pace of learning. The present paper covered the tools and techniques of LIS education and work of e-learning. Keywords: E-Learning, LIS Education, Information Communication Technology, Open Source software, Internet. Cite this Article Shingade Dnyaneshwar Ishwar. E-Learning: Tools and Techniques in LIS Education. Journal of Advancements in Library Sciences . 2019; 6(Special Issue 1): 450s–459s.
Employee Engagement in 3D Virtual Learning Environments: A Digitized HRD Framework Model for Leadership and Learning

Technology is changing more rapidly than most companies can implement it. This chapter presents a digitized Human Resource Development (dHRD) Framework Model that organizational leaders can use to meet the needs of current and future workforces via avatar-mediated learning in 3D virtual learning environments (VLEs). The dHRD Framework Model leverages 3D VLE technology as a tool to engage employees and achieve strategic objectives in an efficient and cost-effective manner for managing people. The dHRD Framework Model can inform practice and advance employee engagement outcomes for effective HR decision-making, which includes legal and ethical considerations for mitigating risks in the 3D VLE. The Theory of Gamification, including psychological theories, provides the lens to explain dynamic learning and relationship building using the dHRD Framework Model to engage employees in the 3D VLE.