Reviewerly/exHarmony huggingface dataset:
Initial Study of Multirobot Adaptive Navigation for Exploring Environmental Vector Fields

Adaptive navigation is the process of modifying a vehicle's direction or path based on measurements taken while moving. Significant work in this area has been performed for scalar fields, in which a single measurement such as temperature or the concentration level of a pollutant is associated with every point in the field; scalar field capabilities that have been developed include control strategies for finding local extrema, moving along contour lines, and navigating along ridges/trenches within a field. One can imagine the ability to perform similar maneuvers in flow fields, in which a vector quantity such as fluid flow is associated with each point in the field. In such a field, various applications could benefit from the ability to navigate to/along vector field primitives such as sources, sinks, vortices, uniform fileds, and combinations of them. In this paper, we propose several simple control strategies for a multirobot formation to navigate to/along such features. Each technique is explained, and we describe how each can be implemented in a multilayer control system in which adaptive navigation commands are issued to a multirobot formation control layer, which in turn issues directives to individual robots. Simple simulation case studies are used to demonstrate the behavior of each control technique. Finally, we also describe initial work in preparing for experimental demonstration of these techniques using a cluster of automated surface vessels to demonstrate the techniques in the field.
A NEW APPROACH OF RANKING PREVALENT NEWS TOPICS FROM SOCIAL MEDIA USING UNSUPERVISED TECHNIQUES

The precious data from online origin has developed into a extended research.The mass media and news media provides the daily events to the common people.Huge amount of information is been achieved by an online social media suchlike Twitter, which contains more information about news-associated content.It is necessary to find a way to filter noise, for these resources to be useful and grab the content that is depend on the similarity to news media.Despite after the noise is eliminated the excessive data still remain in the data so it is essential to prioritize it forutilization.We are introducing three factors for prioritization.The unsupervised technique finds the news to pic that are common in the pair of social media and news media, and then ranks them by the applicability factors such as MF, UA and UI.Initially the temporal prevalence of the appropriate topic in news media focus (MF).Secondary the temporal prevalence of the appropriate topic in social media illustrates the user attention (UA).Finally the interconnection among the social media users who specify this topic demonstrates the power of the society who is discussing, it is termed as the user interaction (UI).
Denoising Magnetic Resonance Imaging Using Fuzzy Similarity Based Filter

Images are very useful source of information which is often degraded due to presence of noise. Noise present in the image especially in MRI images hides the important information which is very important to diagnose the disease. So to retain the quality of image we need to remove noise. Hence denoising is very essential to obtain precise images to facilitate the accurate observations. Fuzzy Similarity based Non-Local Means (FSNLM) filter is used to select homogeneous pixels for the estimation of noise-free pixels. Rician noise introduces bias which corrupts MRI images. The bias correction has been proposed for the removal of bias from MRI images which increases contrast and PSNR. The proposed scheme has been tested on simulated data sets and compared with existing method.
LibGuides: Interlibrary Loan (ILL): Welcome!

ILL is a service or process of borrowing items from other libraries beyond what is available to our library users via OhioLINK.
Application of Bitcoin in Blockchain - A Systematic Literature Review

Bitcoin is a Cryptocurrency which is evolving in digital world and gaining a larger market related to digital currency and stands on all the user expectation of decentralize mechanism of system by providing proof of work in peer-to-peer network with the help of Blockchain. In this paper I have done a literature review on Blockchain technology and its application in Bitcoin.
Funções arquivísticas: caracterizando finalidades de instituições de arquivo

Archival functions are understood as what is expected in the performance of the Archivology professional. The archival trajectory corroborated that the Canadians, more precisely represented by Carol Couture and Yves Rosseau, admited seven functions existing within the area. They understood them as tasks that the archivist must perform. And as a function it can be primordial for the conception of the other, interconnecting. Since knowledge (scientific) and doing (practice) are, in a sense, intrinsic in the area, it is understood that the archival functions must be part of the archival institutions. These functions are: production / creation; evaluation, acquisition, classification, description, diffusion and preservation, which should be the activities to be carried out by an archival institution. That is, if all of them are correctly executed, the level of organization and management tends to be in a formidable quality. This article aims to present the functions and their importance to help delimit what should be the role of the archivist and institutions, thus an attempt to open the debate about which ministry / secretariat the institution should be tied.
Developing artificial intelligence techniques for streamflow prediction and comparison with other predictive models

Developing artificial intelligence techniques for streamflow prediction and comparison with other predictive models
A Successful Language Learning Implementation Through The Development Of The Classroom’s Social Interaction

The purpose of this research is to analyze the contribution of the social interaction with the student learning atmosphere by using the Ruckendiktat exercise form. The method used in this research is the descriptive, analytical method, with the students of the German Language education program as the analyst unit. The data had been collected through observations and questionnaires. The result of the research indicates that the boarder the interactive strategy developed by the lecturer, (1) the students are more motivated to study; (2) the students are happy and actively involve throughout the learning process; (3) the learning materials has been mastered and understood well by the students. Based on the results, a significant line can be drawn, that the implementation of the social interaction which involved, the teachers, students, the learning materials and the learning media, are able to produce positive impacts for the learning atmosphere in the classroom, which can significantly contribute into the result of the study. In order for a learning process to be meaningful, lecturers are expected to not only apply a two-way pattern of social interaction between lecturers and students only, but also between students and students and students with media and learning resources.
A Multi-label Scene Categorization Model Based on Deep Convolutional Neural Network

Being one of the most fundamental embranchments of deep learning theory, scene categorization technology has been extensively researched because of its great value in engineering application, especially in the field of remote monitoring and intelligent fault detection. To bridge the gap between theoretical accuracy and practical performance of relevant classification models which is mainly caused by nonstandard labeling information, this paper builds a normative dataset composed of 10,000 high-quality manual labeled images from the power sector, and proposes a high-performance multi-label classification model utilizing deep convolutional neural network (CNN) inspired by Inception-v4 [1] on this basis. Experiments demonstrate that the model proposed achieves an accuracy of 94.125% on the test set and thus can be deployed into practical intelligent surveillance scenarios.
Anatomization of Document-Based NoSQL Databases

In the era of data science, data is evolving unconditionally beyond breadth and depth. This evolution of data resulted and invoked databases which are schema-less; besides, most of the data are not structured. Many vendors have captured this as design objective for designing NoSQL databases. These databases have been proven to be the best in providing solutions to databases which are schema-less. To model such Big Data containing various data types in various formats, document-based databases are prevailing the most, among NoSQL models. To bring the crust, this paper ignites and anatomizes the dominance of document-based databases among NoSQL databases. Prominent features which reflect the significance of NoSQL document databases are taken into account for evaluating the strength of databases and underline the best database which has the flexible expansion for handling schema-less databases.
The Formation of Digital Libraries from the Traditional One: Digitization of Library Resources—A Challenge in the Indian Scenario

Digital library development initiatives have risen considerably in recent years. The development and current status of digital library initiatives in India reflects that the review as well as the transformation of digital libraries in India has come a long way and turned a productive aspect of the society. Library existence does not just depend or mark on the physical form of documents. We are heading towards a society where digital information can replace to a great deal of information based on printed or published documents. However, the mission of library should be to link the past and the present, and therefore help in shaping the future by procuring, preserving and presenting the records of human culture. Sometimes it comprises the integration of emerging technologies. Future library will be digital and should be having the features viz. it should contain all the recorded knowledge online, the record should be distributed and maintained globally, moreover it should be accessible by any person any time anywhere using internet in any language. The idea of digital library is essential and imperative contemporary efforts of digitalization of libraries are aimed at building individual libraries that can replace the existing physical libraries that are burdened by both financial and space constraints. Nevertheless, modern digital library policy is to be able to reach each home where the data can be accessed in electronic libraries and electronic museums around the world by means of web. The present study deals with the readily offered challenges in the Indian context in the process of digitalization of traditional library system. Keywords: Digitalization, traditional library system, data handling Cite this Article Indiramma Y, Sugunavathi G. The Formation of Digital Libraries from the Traditional One: Digitization of Library Resources: a Challenge in the Indian Scenario. Journal of Advancements in Library Sciences . 2019; 6(2): 31–37p.
Table War

We present an interactive game, Table War, which combines tabletop projection technology and NFC device in the demo. We draw our inspiration from a historical story which tells about the martial strategies in the Spring and Autumn Period. Our aim is to help players access ancient wisdom about martial strategies through interesting experiences. The device mainly comprises a computer, a projector, and an interactive tabletop equipped with a transducer and cards with practical functions. The paper primarily introduces the design process of Table War from six aspects: the story background, operating strategies, device structure, system design, visual design, and system development. This research intends to contribute to the HCI area with the combination of history, culture and new media.
Governance and Regulations Implications on Machine Learning (Brief Announcement)

Machine learning systems’ efficacy are highly dependent on their training data and the data they receive during production. However, current data governance policies and privacy laws dictate when and how personal and other sensitive data may be used. This affects the amount and quality of personal data included for training, potentially introducing bias and other inaccuracies into the model. Today’s mechanisms do not provide (a) a way for the model developer to know about this nor, (b) to alleviate the bias. This paper addresses both of these challenges.
Making of patent law at the digital frontier – patents at the age of 3D printing

Digital technologies represented by the ubiquitous cloud computing, smart devices, and three-dimensional (3D) scanning and printing expand human experiences. These technologies at the digital frontier are used not only for business but also average people for education, communication and entertainment. Using 3D printing technology as an example, this chapter questions whether various doctrines in the intellectual property (IP) law should be reinvented or even if new ones are needed. As 3D printing utilises platforms that operate globally, it may require cross border sharing of data sets, data files or other information. This chapter questions in the context of patent law in particular, if disruptive technologies such as 3D printing technology indeed call for harmonisation, including new meanings for ‘making’ of patented invention.
PENINGKATAN HASIL BELAJAR IPS MELALUI PENGGUNAAN MEDIA GAMBAR PADA SISWA KELAS III SDN 50 BULU’ DATU PALOPO

The main problem in this study is the low learning outcomes of social studies for III grade students of SDN 50 Bulu’ Datu Palopo . There is also the problem formulation, that is : can the purpose of this study is that student learning outcomes can be improved by using picture media in class III SDN 50 Bulu’ DATU Palopo on subject IPS. held three times, with the planning stage act of observation and reflection. The subject of this research is class students III SDN 50 Bulu’ Datu Palopoin odd semester of school year 2018/2019 with a total of 23 students . The results of the show that : with the use of media images off class III SDN 50 Bulu’ Datu Palopo students’ learning outcomes conducted in two cycles shows that student learning outcomes have increased,from the cycle I average value 72 with percentage of completeness 65%, while cycle II average value 92 with percentage of complete 100% and has fulfilled the value KKM that is 70.
Working with File Wrappers and Packages

This section lets you look at data storage tools other than documents. Like documents, they are all ways to persist data from your apps, and all of these tools, including documents, are supported on Cocoa and Cocoa Touch. Many of the tools (including the ones in this part of the book) have long histories in Cocoa and its predecessors. As noted, documents have evolved over time and have changed in many ways. The tools in this section have certainly changed over time, but the basic structures have remained remarkably stable so they are used in many legacy apps as well as in ones being developed today.
Quantum Genetic LMI-based H∞ Control with Time Delay

Abstract— One of the main problems underlying most optimization theories is local optimum. When time delays are presented, this issue becomes much more problematic. In such conditions, evolutionary optimization algorithms are proven to be helpful. In this paper, quantum genetic algorithm (QGA) has been used to tackle the stated problem in the framework of delay-dependent linear matrix inequality (LMI) robust H∞ control. QGA is employed to find suitable feedback gains and delay-dependent LMI solvers are concerned to resolve stability issues. In addition, to provide more balance between exploration and exploitation, to increase convergence rate as well as to prevent premature convergence, it is proposed that particle swarm optimization (PSO) is augmented with QGA. Simulation is dealt with LMI-based H∞ control scheme of the QGA and QGA-PSO optimization space from the design point of one-degree freedom single link scara robot. The whole controller satisfies the desired properties for uncertain-but-known constant bounded time delay. Furthermore, one of the drawbacks found in tests of most hybrid global-local strategies, i.e. premature convergence, has been cancelled by the proposed scheme of QGA and PSO.
On approximate k-nearest neighbor searches based on the earth mover’s distance for efficient content-based multimedia information retrieval

The Earth Mover's Distance (EMD) is one of the most-widely used distance functions to measure the similarity between two multimedia objects.While providing good search results, the EMD is too much time consuming to be used in large multimedia databases.To solve the problem, we propose an approximate k-nearest neighbor (k-NN) search method based on the EMD.In the proposed method, the overhead for both disk accesses and EMD computations is reduced significantly, thanks to the approximation.First, the proposed method builds an index using the M-tree, a distance-based multi-dimensional index structure, to reduce the disk access overhead.When building the index, we reduce the number of features in the multimedia objects through dimensionalityreduction.When performing the k-NN search on the M-tree, we find a small set of candidates from the disk using the index and then perform the post-processing on them.Second, the proposed method uses the approximate EMD for index retrieval and post-processing to reduce the computational overhead of the EMD.To compensate the errors due to the approximation, the method provides a way of accuracy improvement of the approximate EMD.We performed extensive experiments to show the efficiency of the proposed method.As a result, the method achieves significant improvement in performance with only small errors: the proposed method outperforms the previous method by up to 67.3% with only 3.5% error.
What determines Initial Coin Offerings return for investors?

Startups are increasingly adopting blockchains as an unconventional financing method to raise money for starting new businesses. In exchange of funds received startups offer investors new crypto-tokens based on such blockchains, which assure the property on some type of assets. Initial Coin Offering (ICO), are the equivalent of Initial Public Offers (IPO) for such crypto-tokens, and are increasingly adopted worldwide for fund raising. Because of its recentness, ICOs is still an underexplored phenomenon. In greater detail, while academic studies so far focused on the effects of crypto-tokens as an alternative option to traditional fund raising methodologies, analyzed the differences among the various tokens, and highlighted the factors affecting the fund raised through ICOs, the determinants of ICO return for investors still represent an untouched area of investigation. The outcomes of our study provide a first clear indication of which are the determinants of ICO return, provide useful indications about which factors grant better returns and contributing to a greater understanding of the whole phenomenon.
Secure and Efficient Data Aggregation Scheme with Fine-Grained Access Control and Verifiability for CWBANs

To protect the patient’s privacy in cloud-assisted wireless body area networks (CWBANs), this paper proposes a secure and efficient health data aggregation scheme with fine-grained access control and verifiability. Our scheme can not only make patients get rid of worries about the privacy for their health data, but also achieve secure fine-grained access control by employing ciphertext-policy attribute based encryption (CP-ABE). To enable CP-ABE to be effectively used in CWBANs, we outsource the burdensome computational task of CP-ABE to cloud server, which results in a significant reduction on computing overhead for the sensors or the data sink. In our scheme, the huge amount of health data collected by the sensors are efficiently aggregated with confidentiality at the data sink, then forwarded to the cloud server, which significantly reduces the transmission cost from the data sink to the cloud server. Moreover, our scheme allows the data sink and doctors to check whether the transformation process is performed correctly. As a result, the attacker’s malicious behaviors and incorrect data in the transformation can be detected in our scheme. The security analysis and performance evaluation show our scheme is secure and efficient.
Enterprise transition to Software-defined networking in a Wide Area Network : Best practices for a smooth transition to SD-WAN

Software defined wide area networks (SD-WAN) is a relatively new concept for enterprises to structure their networks throughout sites. This thesis was to find best practices for enterprises wanting ...
A Full-Reference Image Quality Assessment for Multiply Distorted Image based on Visual Mutual Information

A full-reference image quality assessment (FR-IQA) method for multi-distortion based on visual mutual information (MD-IQA) is proposed to solve the problem that the existing FR-IQA methods are mostly applicable to single-distorted images, but the assessment result for multiply distorted images is not ideal.First, the reference image and the distorted image are preprocessed by steerable pyramid decomposition and contrast sensitivity function (CSF).Next, a Gaussian scale mixture (GSM) model and an image distorted model are respectively constructed for the reference images and the distorted images.Then, visual distorted models are constructed both for the reference images and the distorted images.Finally, the mutual information between the processed reference image and the distorted image is calculated to obtain the full-reference quality assessment index for multiply distorted images.The experimental results show that the proposed method has higher accuracy and better performance for multiply distorted images.
Filtering of quantum states with plasmonic metamaterial absorber

We use single-photon interference on a metamaterial absorber to demonstrate quantum state filtering by dissipation, exploiting the metamaterial’s ability to distinguish between symmetric and anti-symmetric superpositions of a two-path wave function.
OWL C : A Contextual Two-Dimensional Web Ontology Language.

Representing and reasoning on contexts is an open problem in the semantic web. Despite the fact that context representation has for a long time been treated locally by semantic web practitioners, a recognized and widely accepted consensus regarding the way of encoding and particularly reasoning on contextual knowledge has not yet been reached by far. In this paper, we present OWLc : a contextual two-dimensional web ontology language. Using the first dimension, we can reason on contexts-dependent classes, properties, and axioms and using the second dimension, we can reason on knowledge about contexts which we consider formal objects, as proposed by McCarthy [McCarthy, 1987]. We demonstrate the modeling strength and reasoning capabilities of OWLc with a practical scenario from the digital humanity domain. We chose the Ferdinand de Saussure [Joseph, 2012] use case in virtue of its inherent contextual nature, as well as its notable complexity which allows us to highlight many issues connected with contextual knowledge representation and reasoning.