Reviewerly/exHarmony huggingface dataset:
A Method for Autonomous Picking of Paper Reels

Although aspects of this research had been presented and demonstrated the first time in 2011, the ’autonomous picking of objects’ is still one of the hottest topics in this field. This research deals with the picking and handling of very large cylindrical objects such as paper reels or oil drums that are located inside industrial and commercial yards. It presents a new method for picking them autonomously according to their position, accessible direction, and surrounding barriers. Different terminology has been added to this research field. Three new algorithms; for picking a priority, for choosing the most appropriate direction for picking the target, and for choosing the safest path to reach the target without causing damage have been developed and implemented. The algorithms were tested successfully on simulation environment implemented using MATLAB and results taken from real experiments.
Framework Development for the Development of Mobile Commerce Applications

Abstract: In general, the definition of Electronic commerce is the process of selling and buying both of information or goods and services through internet media. Applications can be made by making designs based on commonalities, that are common from existing application designs. Development techniques using designs existing applications utilizing the concept of reusability are called frameworks. The general requirements model of the B2C M-Commerce application in Indonesia has been analyzed by looking for similarities in the specific applications available. The class design framework for developing B2C M-Commerce applications is a solution to the increasing need for this application which is already widely available in Indonesia. This framework was successfully created by designing classes that are described with Class Diagrams along with patterns of interaction and their connectedness with other classes that are described with Sequence Diagrams. This design framework has been successfully used by testing the use in application development with a case study. In addition, this design framework has also met the evaluation based on fulfilling the criteria and achieving the benefits of the AlamDanau Indah Pringsewu Residence.
Analysis of the Difficulty of College Students' Employment from the Perspective of Energy-enhancing

In recent years, as the employment situation continues to be severe, college students have shown a "weakness" in employment, making them forced to a "employment is difficult" dilemma. As an important field of social work, energy enhancement theory pays more attention to the internal efficiency of individuals and the use of external resources. Therefore, this article explores the main reasons for the difficulty of college students ’employment from the perspective of empowerment, including low personal efficacy, lack of interpersonal network support, and external environmental constraints, and combines individual, peers, families, schools, employers and other forces to "energize" college students and better promote college students' employment.
Message from the General Chair CSCloud-EdgeCom 2020

Representatives of collaborating organizations, delegates from all supporters, it is our great pleasure and honor as General Chairs of IEEE CSCloud/EdgeCom 2020 to welcome you to the 7th IEEE International Conference on Cyber Security and Cloud Computing (IEEE CSCloud 2020), the 6th IEEE International Conference on Edge Computing and Scalable Cloud (IEEE EdgeCom 2020), and the co-located events. IEEE CSCloud/EdgeCom 2020 Committees organize these two co-located conferences.
LibGuides: Campus Study Spaces: Meehan Hall

Find places to study or to take a class remotely in one of the many spaces available on campus. Reserves study spaces in Meehan Hall
From the pages of North Carolina Libraries - Research and Practice in Academic Libraries: A Case Study

From the pages of North Carolina Libraries
Evaluating a Novel, Scalable Natural Language Processing Heuristic for Determining Semantic Relatedness

Distributional semantics is a recent research field aiming to quantify how close one text is to another in terms of contextual meaning. In this study we propose and evaluate a novel distributional ...
LibGuides: ISU Libraries Multimedia: Design & Marketing

This libguide describes the multimedia software offered in the Oboler library. Software for desktop publishing and typesetting.
Correction to: Software Cost Estimation for Python Projects Using Genetic Algorithm

In the original version of the book, the following belated correction has been incorporated: The affiliation of Dr. Neha Chaudhary and Amrita Sharma has been changed from “Department of Computer Science and Engineering, Manipal University, Jaipur, India” to “Department of Computer Science and Engineering, Manipal University Jaipur, Jaipur, India”. The erratum chapter and the book have been updated with the change.
IMPACT OF BHASKARA'S CONTRIBUTIONS ON BOOLEAN ALGEBRA

Our main aim here is to discuss that the logical results in Boolean Algebra can be derived with ordinary algebraic operations and properties of zero as discussed in Bhaskara's Lilavati. We establish mathematical version of common logical propositions via Bhaskara's arithmetic. We discuss here that the addition, subtration, multiplication and division discussed in Bhaskara's Lilavati are treated as conjunction, disjunction and negation in Boolen Algebra.
Investigating Cyberbullying on WhatsApp Using Digital Forensics Research Workshop

Cyberbullying in group conversations in one of the instant messaging applications is one of the conflicts that occur due to social media, specifically WhatsApp. This study conducted digital forensics to find evidence of cyberbullying by obtaining work in the Digital Forensic Research Workshop (DFRWS). The evidence was investigated using the MOBILedit Forensic Express tool as an application for evidence submission and the Cosine Similarity method to approve the purchase of cyberbullying cases. This research has been able to conduct procurement to reveal digital evidence on the agreement in the Group's features using text using MOBILedit. Identification using the Cosine method. Similarities have supported actions that lead to cyberbullying with different levels Improved Sqrt-Cosine (ISC) value, the largest 0.05 and the lowest 0.02 based on conversations against requests.&#x0D;
LibGuides: WCU Library Webinars: Webinar Archive

This research guide provides links to all the webinars held for CAPS 401 for the Fall II 2019 term.
Interactive Visualization for Reflected Text Analytics

In this chapter, we discuss the contribution of visualization research to the CRETA project.We give a definition of visualization as we conduct it as partners within the context of the project.Then, we introduce the opportunities and challenges of collaboration in interdisciplinary projects involving visualization research and delineate a number of conflicting requirements that need to be balanced in such a setting.The workflow pipeline that is defined by the concept of reflected text analytics can be separated in two phases, roughly subsumed under the notions 'annotation' and 'interpretation'.For each of these phases, we present one approach that supports the respective analysis tasks by means of interactive visualization: an approach dealing with text annotation data by multiple annotators and an approach dealing with networks of characters in narrative texts.We describe the representation and interaction features of these approaches and exemplify their workings in a series of usage scenarios.Finally, we assess our experiences in developing these approaches with respect to the balancing of requirements mentioned above.
Health Check Information Distribution for Safety and Interruption Avoidance in Cloudlet

The reputation of wearable devices, close by the headway of fogs and cloudlet advancement, there has been extending need to give better clinical thought. The getting ready chain of clinical data in a general sense joins data collection, data accumulating and data sharing, etc. Ordinary social protection structure oftentimes requires the transport of clinical data to the cloud, which incorporates customers' fragile information and causes correspondence essentialness use. In every way that really matters, clinical data sharing is an essential and testing issue. Thusly in this paper, we build up a novel social protection structure by utilizing the versatility of cloudlet. The components of cloudlet join security protection, data sharing and interference area. In the hour of data variety, we from the beginning utilize Number Theory Research Unit (NTRU) framework to encode customer's body data assembled by wearable contraptions. Those data will be transmitted to close by cloudlet in an essentialness skillful style. Finally, in order to shield the human associations structure from malicious ambushes, we develop a novel strong impedance exposure system (IDS) technique subject to cloud let work, which can properly hinder the remote government managed savings colossal data cloud from attacks. Our evaluations show the abundance of the proposed plot.
Pedagogical Controlling in The System of Professional Pedagogical Engineering

The last decade is characterized by increased variability of Russian education, its diversification and mobility, with a permanent reform of the national system on all levels. The education system sets a trajectory for the development of human potential required by modern society while forming a completely new situation and implementing breakthrough ideas. A key agent of modern education is pedagogical controlling of the system of professional and pedagogical engineering. The relevance of implementing pedagogical controlling in the sphere of general secondary education is a fait accompli. Since the significance of the educational services market has significantly increased in the context of modern economic development, directly influencing education which is an important branch of science and practice as well the intellectual product created within it. Russia’s entry into the global education environment entails the convergence of the national education system with European counterparts. The authors believe that the system of professional and pedagogical engineering not only implements economic instrumentarium but also ensures the incorporation and support of innovative models of the education process. The article deals with the features of pedagogical controlling within the framework of the developed model (structure) of educational organization (complex) management within Moscow education.
Two Dimensional Grid Transformation by Algebraic Method

Grid transformation in systematic form is used to smooth the meshing process. Through proper steps an orthogonal grid system of the unit square is applied for simulation. The basic grid conversion method suggests mainly constructing explicitly coordinate changes with the help of trans!nite interpolation. In this regard, blending functions are quite important. These apply matching of the grid arrangements at the boundaries and for different interior surfaces of a particular domain. The aim of this present work is to explain speci!c techniques of algebraic grid transformation through trans!nite algorithm in 2 dimensional spaces. Few irregular but structured domains are converted into regular structured domains through trans!nite algorithm to apply them in different !elds.
SSAAR: An enhanced System for Sentiment Analysis of Arabic Reviews

Sentiment Analysis, or Opinion Mining, has recently captivated the interest of scientists worldwide. With the increasing use of the internet, the web is becoming overloaded by data that contains useful information, which can be used in different fields. In fact, many studies have shed light on Sentiment Analysis of online data in different languages. However, the amount of research dealing with the Arabic language is still limited. In this paper, an empirical study is led to Sentiment Analysis of online reviews written in Modern Standard Arabic. A new system called SSAAR (System for Sentiment Analysis of Arabic Reviews) is proposed, allowing computational classification of reviews into three classes (positive, negative, neutral). The input data of this system is built by using a proposed framework called SPPARF (Scraping and double Preprocessing Arabic Reviews Framework), which generates a structured and clean dataset. Moreover, the provided system experiments two improved approaches for sentiment classification based on supervised learning, which are: Double preprocessing method and Feature selection method. Both approaches are trained by using five algorithms (Naïve Bayes, stochastic gradient descent Classifier (SGD), Logistic Regression, K-Nearest Neighbors, and Random Forest) and compared later under the same conditions. The experimental results show that the feature selection method using the SGD Classifier performs the best accuracy (77.1%). Therefore, the SSAAR System proved to be efficient and gives better results when using the feature selection method; nevertheless, satisfying results were obtained with the other approach, considered consequently suitable for the proposed system.
Decentralized Voting System Using Blockchain Technology

Ethereum is a virtual currency that emerged in the aftermath of the ﬁnancial crisis. It allows people to bypass banks and traditional payment processes to pay for goods and services. The technology on which ethereum works is of great interest to us. It is called the Blockchain. Blockchain is a continuously growing list of records, which are linked and secured using cryptographic methods. It allows its users the ﬂexibility to transact with lower costs involved and at higher speeds. Blockchain ledgers are also decentralized and a ledger is maintained at each node of the network. The technology eliminates the need of any intermediaries in transactions while still solving the double spending problem. In this project, we highlight the tools and technologies that run on the Blockchain network and focus deeply on decentralized application. Keywords: Blockchain, decentralized, ethereum, ledger, technology Cite this Article: Sayali Karande, Ajay Matkar, Shruti Mirajkar, Pragati Pejlekar. Decentralized Voting System using Blockchain Technology. Research & Reviews: A Journal of Embedded System & Applications. 2020; 8(2): 15–20p.
A Hybrid Deep Learning Model forImproving PalliativeCare

The prime objective of palliative care which is anexclusive medical care is to improve the quality oflife of patients with life threatening serious medical illness by frequent assessment of electronic health record. Bypredicting the mortality rate and other features from patients EHR data and applying modern machine learningapproaches will aid in sufficient improvement in palliative care. Keeping this in concern we proposed a hybriddeep learning model which is constructed on multi-sensors-based structure for recognizing human activity with thecombination of Simple Recurrent Units (SRUs) and Gated Recurrent Units (GRUs) of neural networks. Theproposed hybrid deep learning model proves to be efficient in smart clinical decision making by palliative careprofessionals including information extraction, accurate predictions for various clinical conditions and in-hospitalmortality rate, handling Sparse and heterogeneity in patients records, and shows promising results whencompared with traditional machine learning healthcare application schemes.
The quantum speed limit time of a two-qubit XYZ spin chain with intrinsic decoherence

We study the quantum speed limit (QSL) time of the two-qubit XYZ spin chain model with the influence of intrinsic decoherence. We show that the intrinsic decoherence can suppress the evolution of this system, no matter what initial states the two qubits start from. The investigation of entanglement reveals that quantum correlation is the physical reason for the acceleration of the system. In addition, we also demonstrate that for different initial states, external magnetic field may have opposite influence on QSL time and it mainly derives from the inhibition of entanglement as magnetic field increases.
PENINGKATAN KETERAMPILAN MENULIS KARANGAN NARASI SISWA KELAS III SDN 004 BATURIJAL HULU KECAMATAN PERANAP DENGAN MENERAPKAN MODEL PEMBELAJARAN THINK TALK WRITE

The problem in this research is the low skill of writing narrative essays for third grade students of SDN 004 Baturijal Hulu, from 27 students, 2 students with very skilled category; students with the skilled category 5 students; 10 students categorized as skilled enough; 10 students in the less skilled category. The method used in this research is classroom action research, which is conducted in 2 cycles which aims to improve the writing skills of third grade students of SDN 004 Baturijal Hulu by applying the Think Talk Write (TTW) learning model. The subjects of this study were third grade students of SDN 004 Baturijal Hulu. Data obtained through observation and tests. Meanwhile, the results of narrative essay writing skills after applying the Think Talk write learning model increased at UH1 with an average of 74.70 with a large increase from the basic score of 14.52% and the average UH II was 84.70 with a large increase in score. the base of 24.52%. Based on the results of this study, it can be concluded that the implementation of the Think Talk Write (TTW) learning model can improve the narrative writing skills of grade III students of SDN 004 Baturijal Hulu.
Image Segmentation Based on Similarity of Hierarchical Regions

This paper addresses the problem of hierarchical selection in multi-level image segmentation. In this paper, we propose a new framework: First, we use the hidden regional properties of multi-level image segmentation, selecting the finer object segment regions through the comparison between hierarchies without the aid of ground truth or the users prior knowledge of the object, using the saliency of the object for auxiliary analysis, and optimizing its combination. In the next step, we regard the obtained object segment regions as the seed regions, and Graph Cut is performed on the bottom layer of the multi-level image segmentation result to obtain the segmentation result. The experimental results show that our framework is even better than those of the hierarchical segmentation selected in the multi-level image segmentation results. The proposed framework can be applied to solve the hierarchical selection problem in other cases.
Construction and Research of Comprehensive Management Platform for Network Security of China University Information System

As China moves rapidly toward the country with strong information technology. Colleges and universities, as an important part of the country, are accelerating the realization of a more convenient and fast information-based intelligent campus. The degree of informatization has also become an important stander for measuring the world "Double-First Class" universities. Faced with the increasing information system of colleges and universities, how to achieve unified security management has become an important issue that colleges and universities need to solve urgently. This article based on the information environment of Beijing Jiaotong University and the current operation and maintenance status of information systems. Through the methods and strategies used in daily work, this article combines the information system filing, hierarchical management, system vulnerabilities, web application vulnerabilities, security notice into one single platform. The information system with security risks is notified to the responsible person by SMS or email. This platform has realized a complete process from information system construction, filing, affiliated units, functions, open ports, vulnerability scanning, system operation, system rectification and upgrading. It reducing the switching of security devices from multiple platforms and improving the accuracy of detecting vulnerability.
Developing Custom ROM based on Android using AOSP

Android is an OS by Google based off multiple platform programming languages and is the most extensively used mobile OS after 2013. Apart from being OS for mobile device, it can also be used for other devices. It also provides set of platform software stack enhancing usability of devices. Started with Android Alpha, and the latest public version is Android 10. Android, being an open source allows any user to tweak the experience to their preference by modifying its source code and improves its performance. Exploring Android allows the user to know the inner workings of the system and openness of it inturn helping to understand the various coding decisions and multiple opportunities for creativity. The main intent of this research is to build the custom ROM utilizing Android Open Source Project(AOSP) which enhances the performance and redesigned UI with customizable option to the user.I.
Linear hash functions and their applications to error detection and correction

We describe and explore so-called linear hash functions and show how they can be used to build error detection and correction codes. The method can be applied for different types of errors (for example, burst errors). When the method is applied to a model where the number of distorted letters is limited, the obtained estimate of its performance is slightly better than the known Varshamov–Gilbert bound. We also describe random code whose performance is close to the same boundary, but its construction is much simpler. The proposed error correction codes are close to those obtained in the theory of linear codes, but there are examples when the proposed algorithms are more efficient.
LibGuides: WCU Library Webinars: Getting Started: Research Basics

This research guide provides links to all the webinars held for CAPS 401 for the Fall II 2019 term.
Dance Step Recommender

The huge measure of information accessible on the Internet has prompted the improvement of clever frameworks.Lately, there has been a ton of consideration in frameworks like music recommender, book recommender, film recommender, and so on.Likewise, the motivation behind this project is to use soft computing techniques to develop a choreography system.This article outlines a detailed summary of the "Dance Choreography System".The system choreographs dance by recommending dance steps, considering the time signature and tempo of the given soundtrack as its core components.The paper incorporates a portrayal of the subject, framework engineering, and gives an itemized depiction of the work done to point.The project outputs the dance steps, applied to an animated character that is displayed on the browser.
Методи та компоненти обробки природної мови

A dramatic change in the abilities of language models to provide state of the art accuracy in a number of Natural Language Processing tasks is currently observed.These improvements open a lot of possibilities in solving NLP downstream tasks.Such tasks include machine translation, speech recognition, information retrieval, sentiment analysis, summarization, question answering, multilingual dialogue systems development and many more.Language models are one of the most important components in solving each of the mentioned tasks.This paper is devoted to research and analysis of the most adopted techniques and designs for building and training language models that show a state of the art results.Techniques and components applied in creation of language models and its parts are observed in this paper, paying attention to neural networks, embedding mechanisms, bidirectionality, encoder and decoder architecture, attention and self-attention, as well as parallelization through using Transformer.Results: the most promising techniques imply pretraining and fine-tuning of a language model, attention-based neural network as a part of model design, and a complex ensemble of multidimensional embeddings to build deep context understanding.The latest offered architectures based on these approaches require a lot of computational power for training language model and it is a direction of further improvement.