Reviewerly/exHarmony huggingface dataset:
Preface

The 2020 5th International Conference on Intelligent Computing and Signal Processing (ICSP 2020) was successfully held on March 20-22, 2020. In order to comply with the control and prevention of the epidemic COVID-19, ICSP 2020 was adjusted to be held via online platform to avoid gathering and physical contact. Despite the influence of the epidemic, ICSP 2020 provides a flexible platform for the experts, scholars and practitioners in the field of intelligent computing and signal processing to exchange new ideas and present the state-of-the-art research. This conference also promotes the establishing of business or research relations among global partners for future collaboration. We hope that this conference could make significant contribution to the update of knowledge about these latest scientific field. In this conference, we were honored to have over 100 experts and scholars in the area of Intelligent Computing and Signal Processing representing different famous universities and institutes around the globe to form our organizing committee and technology program committee. During the conference, we were pleased to invite three distinguished experts to present their insightful speeches. Assoc. Prof. Ata Jahangir Moshayedi, from Jiangxi University of Science and Technology, China, held a speech on Plume Tracking ROBOTS Missions and Obstacles in Robotic World . Assoc. Prof. Dr. Nada M. Al Hakkak, representing Baghdad College of Economic Sciences University, IRAQ, talked about Resource Allocation in Computer Simulation. And Prof. Hsiang-Chen Hsu, from Department of Industrial Management, I-Shou university, shared a speech on his specialty related to Reliability Analysis for IC Package. List of Committee member, Organizing Committee, Technology Program Committee are available in this pdf.
Predicting re-admission to hospital for diabetes treatment: a machine learning solution

Predictive analytics embrace an extensive range of techniques for identifying patterns within data to predict future outcomes and trends. The objective of this study is to design and implement a predictive analytics system that can be used to forecast the likelihood that a diabetic patient will be readmitted to the hospital. Using the Diabetes 130-US hospitals dataset we modelled the relationship between the patient re-admission (predictor) and the response variable using the Random Forest classifier. We obtained a maximum AUC of 0.684 and an F1 Score of 52.07%. Our study reveals that attributes such as number of inpatient visits, discharge disposition, admission type, and number of laboratory tests are strong predictors for the re-admission of patients. Findings from this study can help hospitals design suitable protocols to ensure that patients with a higher probability of re-admission are recovering well and possibly reduce the risk of future re-admission.
Sistem Pakar Menggunakan Metode Certainty Factor dalam Identifikasi Pengembangan Minat dan Bakat Khusus pada Siswa (Studi Kasus di SMA Muhammadiyah 1 Padang)

Identification of the development of special interests and talents needs to be done in order to find out the potential of students. This knowledge is needed by the teacher when providing counseling guidance to students in order to know the types of special interests and talents of students. This study aims to identify the development of special interests and talents in students based on the characteristics of special interests and talents appropriately. In this study using the Certainty Factor method where this expert system can assist experts in identifying the development of special interests and talents based on the characteristics of special interests and talents in students. Followed by calculating the level of accuracy with the results of the counseling guidance teacher analysis. The results of the testing of the Certainty Factor method were successfully applied by comparing the data with the system that had been designed so that a good level of accuracy was obtained from the results of the system calculations with expert decisions of 80% of the 5 test data. This expert system application can be used as an alternative in identifying the development of special interests and talents in students.
Acknowledgement of Referees' Services Remerciements aux lecteurs critiques

Canadian Journal of StatisticsVolume 47, Issue 1 p. 132-136 Acknowledgement Acknowledgement of Referees' Services Remerciements aux lecteurs critiques First published: 25 February 2019 https://doi.org/10.1002/cjs.11488Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinkedInRedditWechat Volume47, Issue1Special Issue: Special issue on Collaborative Research Team projects of the Canadian Statistical Sciences InstituteMarch 2019Pages 132-136 RelatedInformation
Generalizing from Data

This textbook provides future data analysts with the tools, methods, and skills needed to answer data-focused, real-life questions; to carry out data analysis; and to visualize and interpret results to support better decisions in business, economics, and public policy. Data wrangling and exploration, regression analysis, machine learning, and causal analysis are comprehensively covered, as well as when, why, and how the methods work, and how they relate to each other. As the most effective way to communicate data analysis, running case studies play a central role in this textbook. Each case starts with an industry-relevant question and answers it by using real-world data and applying the tools and methods covered in the textbook. Learning is then consolidated by 360 practice questions and 120 data exercises. Extensive online resources, including raw and cleaned data and codes for all analysis in Stata, R, and Python, can be found at www.gabors-data-analysis.com.
Robust Sterilization Resistant Video Authentication using Pixel Randomization and Modified Lsb Steganography

An authentication method which uses randomization of the pixel selection and keyless modified Least significant bit steganography of a video is proposed. Randomization of pixel selection for hiding authentication information is based on probability percentage of the red color intensity values of each pixel of image frame, is not considered in any of the existing methods. The proposed method also uses modified LSB steganography which reduces the cost due to its simplicity. This method ensures minimum alterations of the resultant image. Keyless invisible embedding process increases the security. Experiments using histogram, surface plot proved that it can withstand visual attack. Euclidean distance, Chi-square, Correlation, Intersection values proved that it can withstand statistical attacks. StirMark benchmark test for robustness is used to prove that the proposed system is highly robust. This proposed method of video authentication gives cost effective solution which is better than the existing methods.
Terrains of the imaginary

Terrains of the imaginary Geoff Manaugh Click for larger view View full resolution Bayou (Louisiana), 2021. [End Page 100] During pandemic confinement, Geoff Manaugh found escape online in the Library of Congress’s U.S. Geological Survey map archive. The dimensionality and texture of the historical topographic maps inspired Manaugh to “impose my own grid on the maps and thus create my own images, turning strategically important documents into mere patterns and shapes. What does a slice of mountain ridges look like, geometrically? What happens when volcanic islands are trimmed down to fit inside neat squares?” He continues, “The colors and forms in those original documents are already extraordinary—bayous and canyons, mountains and coasts, borders and industrial infrastructure, between density and emptiness—and can be made all the more so when they’ve been cut and collaged together. The results are aesthetic and narrative, like maps from a fantasy novel.” —eugenia bell [End Page 101] Click for larger view View full resolution Swamp Typography (Louisiana), 2020. [End Page 102] Click for larger view View full resolution Groundwater Grids (North Dakota), 2020. [End Page 103] Click for larger view View full resolution Volcanology (Hawaii), 2021. [End Page 104] Click for larger view View full resolution Morse Landscape II (Louisiana), 2021. [End Page 105] Click for larger view View full resolution The Empty Quarter (Nevada), 2021. [End Page 107] Click for larger view View full resolution Color Code II (Pennsylvania), 2021. [End Page 108] Click for larger view View full resolution Terrestrial Astronomy (Nevada), 2021. [End Page 109] Copyright © 2021 Yale University
An Efficient Strong Designated Multi-Verifier Signature Scheme with Shared Verification

This paper proposes an efficient Strong Designated Multi-Verifier Signature (SDMVS) scheme for facilitating the privacy-preserving group-oriented electronic commerce applications.A Designated Verifier Signature (DVS) scheme can support online transactions that must simultaneously guarantee the property of confidentiality and authenticity since the generated signature can only be authenticated by a designated verifier.In this study, we combine the concept of DVS and multi-recipients to propose an SDMVS scheme.In particular, our mechanism further enables a group of intended recipients to examine the signature validity.All members of the designated verifier group must cooperate in carrying out the signature verification procedure.Besides, the property of non-transferability provides the designated verifier group with the ability to create another legitimate transcript that is hard to be differentiated from the original signature.The analysis results of security proof and efficiency show that the construction of our system fulfills essential security requirements, and the expansion of group size will not influence the computational costs of each party.
International Conference on Information System, Computer Science and Engineering

The objectives of the International Conference on Information System Computer Science and Engineering (ICONISCSE) are to gain and expand knowledge of the latest issues, opinions, brilliant ideas about constructive comprehensive technological developments from students, researchers, and academics to bring new innovations in technology to a better future especially in the field of software engineering, computer engineering, computer science and information system.
Blackbaud faces class action suit over data breach

Blackbaud Inc., a leading provider of software solutions to the nonprofit sector, is facing a class action lawsuit after the company reported a ransomware attack and data breach that affected numerous nonprofit organizations, schools and health care companies that had hired the company to manage their data and servers using Blackbaud's cloud computing software.
An Empirical Study of Big Data Analytics in Rural Arena

Innovations in ICT sector facilitate qualitative life style for citizens in the globe.Countries that facilitate usage of new techniques in ICT, i.e.Big data analytics, find it easier to fulfil the needs of their citizens.Big data is characterized by its volume, variety, and speed.Analytics involves its processing in a cost effective way in order to draw conclusion for their useful application.Big data also involves the field of machine learning, artificial intelligence leading to accuracy in data presentation useful for public policy making.Hence using data analytics in public policy-making is a proper way to march towards all round development of any country.The data-driven insights can help the government to take important strategic decisions with regard to socio-economic development of country.Developed nations like the UK and the USA are already far ahead on the path of digitization with the support of Big Data analytics.India is a huge country and it is currently on the path of massive digitization being realised through Digital India Mission.Internet connection per household is on the rise every year.This transforms into a massive data set that has the potential to improvise the public services delivery system into an effective service mechanism for Indian citizens.In fact, when compared to developed nations, this capacity is being underutilized in India.This is particularly true for administrative system in rural areas.The present paper focuses on the need of the adaptation for Big data analytics in Indian rural administration and its contribution towards development of the country on a faster pace.Results of the research focused on the need for increasing awareness and serious capacity building of the government personnel working for rural development with regard to Big data analytics and its utility for development of the country.Multiple public policies are framed and implemented for rural development yet, the results are not as effective as they should be.Big data has a major role to play in this context as it can assist in improving both policymaking and implementation, which aims at all round development of the country.
Tracking Database Access Design by Solicitation Programs for Detecting Inconsistency

Database Management Systems (DBMSs) offer get the opportunity to control segments that grant database heads (DBAs) to permit application programs get to advantages to databases. In spite of the way that such instruments are successful, for all intents and purposes better grained get the opportunity to control framework modified to the semantics of the data set away in the DMBS is required as a best in class opposition part against sharp aggressors. Verifying a database alone isn't adequate for such applications, as aggressors going for taking data can misuse vulnerabilities in the unique applications and make these applications to give malevolent database questions. In this paper, we show the structure of an irregularity ID framework that hopes to handle such issue. Our methodology is based the assessment and profiling of the application remembering the ultimate objective to make a short depiction of its relationship with the database. Such a profile keeps an imprint for each submitted inquiry and moreover the relating prerequisites that the application program must satisfy to show the request. Subsequently, in the ID arrange, at whatever point the application gives an inquiry, a module gets the request before it accomplishes the database and affirms the looking at imprint and objectives against the present setting of the application. In case there is a befuddle, the request is separate as exceptional.
A Novel Method of an Online Opinion Mininge Motions by Comparing Various Mobile Gadgets

The drastic development in the web world gives a greater impact through various sources like online journals, e-commerce sites, peer-to-peer networks and social media, consumers have a broad platform and unlimited power to share their experiences in the form of reviews. With this, majority of reviews are accessible for a solitary item, that should be investigated, handled and mine. Opinion Mining or Sentiment Analysis is a Natural Language Processing and Information recovery assignment that characterizes the client's perspectives or assessments through positive, negative or unbiased conclusions. Aspect based Opinion Mining manages parts of the highlights. In this paper an aspect based sentiment mining framework is suggested that order reviews as positive and negative. With the help of the SVM the accuracy can be find out to get the clear idea of the reviews. Moreover four brands will discuss in our research. The various emotions, positive and the Negatives will be analyzed clearly in this paper. The customer review, rating by the customers, rate comparing and the opinion mining will be explained in the last section. The framework additionally manages two viewpoints in a survey. Experimental results using reviews of mobile phones show an accuracy of 86% as compared to other methods.
Formation of Technological Competence of the Teacher of Professional Training

In the context of the reform of the Russian educational system, the main task of the higher educational institution was the training of highly qualified specialists through the formation of appropriate competencies. The new competence paradigm has made it necessary to find the most effective ways to ensure this process. To date, the priority in the development of domestic higher education is the use of a technological approach that allows creating more favorable conditions for the preparation of graduates. The article aims is to analyze the training of specialists in higher education based on the technological approach. Noting its diversity and versatility, the authors reveal its functions and structural elements. On the example of the formation of future graduates in the field of training 43.03.01 "Service", the authors consider the objectives, content and monitoring in accordance with the implementation of the technological approach. The article identifies the competence to achieve the formation of which is aimed at the content of training, built in the framework of modern pedagogical technologies. Innovative technologies, research projects, information and telecommunication technologies and presentations occupy a large share in theoretical training and practice. The authors reveal the possibilities of gaming, modular technologies, and technologies of contextual and problem learning in the formation of professional competencies. The authors state that the methodological basis for the preparation of students for professional activities in higher education is a technological approach at a high level providing the formation of the necessary competencies.
Noise Estimation using Kalman Filter in Image Restoration

Medical image processing plays a vital role in medical sciences from the past decades. Medical image processing becomes simple and useful with the advancement of image processing techniques. Medical images are used to observe the information related to inside the organs of human body. For better diagnoses and analysis of disease the image should be clear, noise free and more informative also. Usually medical images are corrupted by different noises in image acquisition and transmission process. The basic challenge in medical image processing is noise removal without losing diagnostic information. Image restoration is the one of the technique to recover the original image from the degraded image. In this paper, we are proposing a kalman filter to estimate the noise function from the degraded image and to reconstruct the original image. Here we are taking into account that the medical image was corrupted by the gaussian, speckle and salt &amp; pepper noise. The simulation result infers that the proposed blind deconvolution method can be able to suppress the noise well and also preserve edge information without losing diagnostic data.
Internet of Things driven Inventory Management for the Retail Pharmacies

The technological transformation has resulted in a massive change in businesses around the world. Inventory management, which an essential part of every business, has also been impacted a lot. Inventory management is a subset of the broader Supply Chain Management (SCM) and mainly aims at achieving customer demands by storing products and managing inventory levels. Internet of Things (IoT) has become a hot topic these days, and the paper's fundamental objective is to examine the importance of IoT and how can it be beneficial in managing the inventory of the retail, pharmaceutical sector. A brief analysis of the existing inventory management practices carried out by the retail pharmacies in the Cachar district of Assam was conducted to analyze the present scenario and the problems encountered by the pharmacists in managing their stocks. The paper then discusses the potential benefits of adopting a smart inventory management system for controlling their inventory levels so that they prevent losing customers due to a shortage of medicines. A conceptual framework for implementing an IoT based inventory management in the retail pharmacies has been proposed which can prove to be beneficial in providing real-time transparency and give practical guidelines for the retail pharmacies that are using the traditional approaches.
Indexing Techniques in Trademark Image Retrieval Systems

The development of automatic trademark image retrieval systems becomes a necessity because of the increasing number of registered trademarks in all countries. The goal is to protect the registered trademarks from counterfeiting and infringement. This paper introduces a trademark image retrieval system using indexing techniques. The proposed system is described by giving an overview about its architecture and describing in details all its components. The goal is to allow researchers and developers in image retrieval to build their own trademark retrieval system using the indexing techniques. Each part of the proposed system is considered as a component that can be improved or replaced. The reader can have a clear idea on: (1) the type of visual features to extract from the trademark images, (2) the indexing technique that can be used to organize the extracted features and speed-up the search and (3) how to perform a similar search for a new trademark image. The proposed system has been evaluated using several global features and the best performance is obtained when using Zernike moments coefficients with order 12.
ScrollSpy

Long-content pages usually have top navigation bars that allow the user to quickly navigate to sections within the pages. This feature is accompanied by the fact that the menu item highlighted as active is automatically updated/changed according to the visible section of the page. ScrollSpy is a Twitter Bootstrap JavaScript plugin that, when used, automatically changes the highlighted menu item according to the position in the document.
Overloading

Overloading in PHP provides the ability to add object members at run-time. This is done by having the class implement the overloading methods __get, __set, __call, and __callStatic. Bear in mind that the meaning of overloading in PHP is different from many other languages.
Research on the cultivation of professional system ability in Computer Education

Computer majors have high requirements for students' practical ability, but now many colleges and universities prefer theoretical teaching when training computer majors, and the curriculum arrangement is not clear, resulting in students' lack of computer professional system ability. At present, the embedded system, mobile computing system, parallel computing system and other new computing systems in the computer system are developing rapidly. When cultivating computer talents, colleges and universities should ensure that students understand and deeply understand the overall computer system, master the correlation and logical level of various software or hardware parts in the computing system, and have the ability to develop and build computer systems. This paper analyzes the development characteristics of today’s computer technology, probes into the problems in cultivating computer talents in Colleges and universities, and finally explains in detail how to use technical ways to cultivate computer professional system ability, so that students can independently develop a computer system including CPU, operating system and compiler.