Reviewerly/exHarmony huggingface dataset:
Comparative Analysis of ANN and SVM in Digital Mammogram based on Feature Selection

This research paper focuses on feature extraction and selection strategies for detecting and classifying malignant tumors in mammograms. Features, the distinctiveness of the objects of attention, if chosen carefully, are envoy of the greatest relevant information so that the image has to suggest for absolute characterization of an abrasion. Feature extraction techniques analyze the images of an object to extract the most important features that are representative characteristics of the various classes of objects. Features are used as inputs to distinguish that allocate them to the class that they signify. GLCM (Gray Level Co-occurrence Matrix) is the universally employed technique for texture examination and it compares the gray-level divergence of any two neighboring pixels in a specified displacement and direction on an image. GLCM of an image encompasses a function of the angular connection and an interval between pixels in the neighborhood. In this paper GLCM method has been used to extract features in the proposed CAD system. Feature selection is a technique generally employed for data mining and knowledge exploration to minimize dimensionality and allows the removal of redundant features, keeping the essential hidden information simultaneously, and selection of features requires a reduced amount of data show and efficient data mining. In respect of packet collisions, data rate, and storage, it also brings potential communication benefits. Feature selection is a significant key point in machine learning and other related medical fields. In this paper, the proposed feature selection method is employed with existing classification techniques for the results, before and after feature selection. Support Vector Machine (SVM) and Artificial Neural Network (ANN) classification algorithms were used for validation. The findings show that the suggested strategy is capable of outperforming existing feature selection techniques in terms of classification performance.
Modern Multimedia Technology Contribution to the Innovation Construction of Smart Campus

With the development of information technology, the school has also started a new stage of information development--smart campus. The core of the construction of smart campus is to provide smart application and service for school and teaching and multimedia technology is of great significance to the construction of smart campus. Based on this, this paper discusses the innovation construction of smart campus aided by modern multimedia technology.
Deterministic Generation of Entanglement in Quantum Networks by Distributed Coherent Absorption

We demonstrate that coherent absorption offers a robust and efficient way to generate quantum entanglement in multi-nodal quantum networks. Proof-of principle experiment in a bi-nodal network is reported.
FACTORS AFFECTING THE ADOPTION OF BLOCKCHAIN TECHNOLOGY FOR THE DEVELOPMENT OF AUSTRALIAN LOGISTICS

Diverse types of blockchains have been created and developed for a variety of purposes. Despite the progress made in the creation of systems, the blockchain still requires further emergence from the standpoint of Australia. Furthermore, the Blockchain is the only cryptographic block currency that exists. It has the potential to improve logistics. The characteristics of the current research framework for implementing blockchain technology in logistics have been critically examined in this study. The purpose of this research is to implement blockchain technology in logistics to increase customer benefits and improve the activities of the industry's supply chain. To achieve the primary goal, this research is divided into phases, which are theoretical study, development of suggested blockchain factors, and implementation of the proposed blockchain factors. The blockchain of variables experience, blockchain management, blockchain transaction policy, blockchain adaptation, and blockchain implications were all discussed in detail. The underlying theory was demonstrated, and the conceptual framework and hypotheses were thoroughly discussed at the end of the paper.
Perancangan Sistem Informasi E-Learning pada Program Studi Sistem Informasi Universitas Abulyatama

The government is trying to prevent the spread of COVID-19 by implementing a lockdown policy, which is to cancel all educational activities. E-learning exists as an alternative learning method that is applied to support the quality of education in the midst of a pandemic due to the outbreak of the Corona virus. In this study the authors raised the case of E-Learning Information System Design at the Abulyatama University Information Systems Study Program. The features achieved in this system are news information, period management, course management, class management, lecturer data management, student data management, material data management, assignment data management and value data management. The results of this study can be concluded that the application built can manage student data well and can be classified based on the period of the school year. The application built can already be used by lecturers to share their learning material so that students can download it directly and without fear of missing lessons. The system built is designed to be as attractive and interactive as possible, so that it can be easily understood by even ordinary technology users .
ANALISIS PENOKOHAN DAN NILAI-NILAI PENDIDIKAN DALAM NOVEL KAMI BUKAN SARJANA KERTAS KARYA J.S KHAIREN SERTA HUBUNGANNYA DENGAN PEMBELAJARAN BAHASA INDONESIA DI SMA

AbstrakThis study aims to describe the Characterization, The Value of Education the novel Kami Bukan Sarjana Kertas by J.S Khairen, its relationship with Indonesian language learning ini high school. This study used descriptive qualitative method. Data source obtained from the novel. The collection of data in this study is the repeated reading of the novel we are not paper scholars. This study has three stages, including: data reduction, data exposure, and drawing conclusions. Based on the result of study concluded: characterization of the novel we are not paper scholars there are 8 characterizations including the main character, additions, protagonist, antagonist, static, developing, simple and typical. Education value have religious, moral, social and cultural value. Her novel we are not paper scholars by J.S Khairen has a relationship with learning Indonesian in high school in Analyzing the intrinsic and extrinsic element of Indonesian novels or translations.Keywords: Characterization, The Value of Education, Learning Indonesian in High School
Role of Monitoring Service Level Agreement for Quality Enhancement over Cloud Computing Environment

Several researches and case studies have been revealing a repetitive issue and that ismonopolization of controlling, measuring, and metering of the consumer’s billing for the consumedCloud Services. The Cloud Service Providers (CSPs) have been hiding, or monopolizing thecontrolling, metering tools and ignoring the calculation and consideration of the service defects likedowntime, service outage, poor performance and client service migration delays during overloads ofthe servers. The main issues behind these discrepancies are the Service Level Agreement (SLA), itsviolation, and the monopolized Cloud Governance. Till now there is a lack of parallel monitoring andmetering system of the consumed cloud services at the customer level under the provisions of SLAs.The Cloud Governance Tier has not given any flexibility or utility to monitor such consumed cloudservices at the client tier in parallel to the CSP tier. This research is an effort to develop a SLAcontrolling/monitoring framework to solve the identified problems other than the CSP level. Furtherthe E_Draw max was used for designing the framework. The framework consists of the componentslike; SLA_CSP, SLA_CSC, SLA_M&C and Cloud Services and Delivery Models. After designingthe framework, a prototype was developed using CloudSim on java net beans, and MySQL database.This prototype was implemented using four scenarios to evaluate its performance and thefunctionalities. 1) Checking the SLA under CSP whether the resources to the consumer in the samemanner with promised. 2) To check if the request from cloud consumer is less than what is expectedin SLA. 3) To check by increasing the request of cloud consumer more than what is expected in SLAand 4) Using the SLA_M&C mechanism. After execution it was observed that, in the first and thesecond cases there is no violation, but there is violation in the third and fourth cases. This implied thatthere are chances of the discrepancies in resources provided to make the selves beneficiary beyondSLA under CSP and Cloud Service Consumer (CSC) was discriminated while receiving services fromCSP.
AN INVESTIGATION INTO THE ACOUSTIC EFFECT OF CINEMA SCREENS ON LOUDSPEAKER PERFORMANCE

The advent of digital soundtracks for cinema has brought about the possibility of significant improvements in the quality of sound in cinemas. One aspect of this sound quality involves the transmission of sound through the screen, behind which the loudspeakers are almost invariably placed. The acoustic properties of the various different types of screen are currently not completely understood, and very limited data on this subject is available from the screen manufacturers. Although various studies have already been undertaken relating to the acoustic performance of screens, some have had commercial interests involved, and some of the contrasting results that have been presented have not been from tests conducted under similar circumstances. This paper is concerned with characterising the acoustic properties of a variety of screens through detailed measurements, all carried out under the same conditions in an anechoic chamber.
Cryptocurrency as a Property

The debate at this level needs to be centred on the determination of whether cryptocurrencies should be classified as a currency or as an intangible property Although we have a view on this point, there are differing implications that a classification will engender Where it is decided that cryptocurrencies be classified as a currency, CBN 1 will rightly exercise regulatory control, otherwise, not There are also tax considerations that arise from a classification, either way For instance, if bitcoin or other cryptocurrencies is considered a property, this classification may trigger sales tax obligations Also, a classification as an intangible property will take bitcoins (and other cryptocurrencies) out of the Exclusive Legislative List 2 in the Nigerian constitution not being a legal tender and provide state governments with the legislative competence to regulate cryptocurrencies.
Extracting Academic Publication Data Using Web Automation Tools

Web automation is an approach to programmatically accessing websites to perform a number of tasks such as software testing, web scraping, forms completion, or transferring data between websites. In this paper, we describe the development of a web automation tools to extract academic publication data from online bibliographic database namely Google Scholar and Scopus for an academic institution. The extracted data is then will be analyzed to produce publication reports to measure scholarly productivity and impact by academic staff, departments, institutions, or research groups. With this information, the top management can monitor publication performance in a better way in term of decision making and organizational strategic planning. In addition, the reports can be used to emphasize and promote individual staff, grant applications from certain research group or department based of publication output.
Text Summarization with KNN Algorithm by Table Similarity

This paper proposes Text Summarization using K Nearest Neighbor Classification algorithm on the basis of table similarity. This is being proposed for blog summarization, so that the text summarization can be used for summarization of blogs. Today, summarized data is needed everywhere, so that people can get more information in less amount of time, and that can be given with the help of summarized blogs. This method is being used for changing encoding writings into numerical vectors for utilizing the customary variants for content mining assignments causing the three primary issues: the enormous dimensionality, the inadequate appropriation, and the poor content quality. The possibility of this exploration is to decipher the content rundown task into the content grouping task and apply the proposed adaptation of KNN to the undertaking where writings are encoded into tables. The adjusted rendition which is proposed right now expected to outline messages all the more dependably than the conventional form by taking care of the three issues. Thus, the objective of this exploration is to execute the content rundown framework, utilizing the proposed approach. Keywords: Blog summarization, encoding, KNN, table similarity, text summarization Cite this Article: Shakshi Neha, Arun Kumar Yadav. Text Summarization with KNN Algorithm by Table Similarity. Journal of Multimedia Technology & Recent Advancements. 2020; 7(1): 14–18p.
Pengaruh Pembelajaran Digital Terhadap Hasil Belajar Siswa

The purpose of this research was to identify the effect of digital learning on student learning outcomes. Digital learning creates learning situations for students in discussion and enhances online interactive learning with teachers. The population of this study were fifth grade students at SDIT Al Bariyah Jakarta. The findings show that there is an effect of digital learning on student learning outcomes. Digital learning has been shown to have an influence on student learning outcomes. Suggestions in this study indicate that the promotion of digital learning can provide an alternative to teaching innovation in the classroom. With the advancement of information technology and relevant technology, digital learning will be accepted by students and teachers.
Mudah Belajar Bahasa Inggris Menggunakan Media Sosial Youtube

This research was conducted in an effort to increase interest in learning English through Youtube media. while going to English education in our daily lives. especially the students who are studying. e.g. English is one of the common subjects but its existence is very important in supporting various other subjects. therefore, this study uses qualitative method with six (6) sample images and questionnaires as well as method method and transferability. the results of the learning force using Youtube content media increased can be in line with the communication strategy that dis dias over the target of learning.
A programmable electro-optic Bell-state analyzer for spectrally distinguishable photons

We demonstrate a Bell-state analyzer that operates directly on frequency mismatch and unambiguously distinguishes two of four Bell states with accuracy exceeding 98%, opening a feasible path to wavelength-multiplexed quantum networks.
A Study on Ordering Distribution of Temporal Adverbial Clauses by Advanced Chinese EFL Learners

It is obvious that the ordering distribution of temporal adverbial clauses in advanced Chinese EFL learners writing corpus (ACEFL) and English differs greatly. Based on the theory of dependency grammar, this paper builds two dependency treebanks and uses mean dependency distance (MDD) as an index to measure syntactic difficulty of prepositional and postpositional temporal adverbial clauses by advanced Chinese EFL learners. It is found that: 1) temporal adverbial clauses in Chinese show obvious tendency of preposition, while in English they can be preposed or postposed to the main clauses, but postposition is the dominant order. In contrast, advanced Chinese EFL learners tend to prepose temporal adverbial clauses which is similar to the ordering distribution of their mother tongue; 2) syntactic difficulty of prepositional temporal adverbial clauses in ACEFL is smaller than that of postpositional ones; 3) the main motivation of preposition of temporal adverbial clauses in ACEFL are dual influence of mother tongue and minimization tendency of MDD.
Modeling Human Physiology Coupled With Hyperbaric Plant Simulation for Oil and Gas

Underwater activities are an essential part of different industrial fields, and if in some cases autonomous and remotely controlled solutions could be used, often intervention of human divers is pivotal. In order to operate at depths of tens to hundreds of meters, the main technique that allows safe and efficient operation is called saturation diving, which foresees gradual adaptation of divers to harsh underwater conditions by means of hyperbaric chambers. This type of facility requires highly qualified personnel for management; however, nowadays, most training is done on empty industrial plants, which is costly and limits the possibility to take into account vital parameters of personnel inside them as well as making it practically impossible to reproduce emergency situations. This paper proposes an innovative approach in M&amp;S for the hyperbaric plants devoted to support training and certification of life support supervisors (LSS) as well as other operators involved in diving activities.
Interaksi Simbolik Siswa SMAN 1 Tuban Pasca Sistem Kredit Semester

Interaction is an action between groups of individuals, individuals with group, groups with groups. An activity can be called an interaction when there is reciprocal communication and social contact. Social interaction starts from the family circle. Over time the interaction occurs in a broader scope such as schools. The evaluations carried out in the curriculum led to the formation of a semester credit system at various reference school. SMAN 1 Tuban is a included in the reference school for implementing SKS. SMAN 1 Tuban applies a semester credit system using UKBM learning media. The school categorizes students into two classes regular and migration (accelerated). This research is a qualitative using case study approach. The symbolic interaction that is used as an analysis knife in this study belongs to the social definition paradigm. This research tppk place at SMAN 1 Tuban. Migration and reguler class students are the subject in this study. This study uses observation, in-depth interviews, and documentation as a data collection techniques. The data that has been collected is then analyzed using a strategy developed by Miles & Huberma. Miles & Huberman categorized the analysis strategy into the processes, reduction, presentation, and conclusion. The result of this research is symbolic interaction by H. Blumer. Blumer divides his concept into five basic ideas, self concept, action, object, social interaction, and collective action.Keywoard : Semester Credit System, Student, Symbolic Interaction
Managing backscattering noise in Sagnac-loop twin-field quantum key distribution

We propose a signal patterning technique to mitigate backscattering and optimize secure key rates for Sagnac twin-field QKD systems. Simulation results based on experimentally-measured backscattering coefficient yield positive key rates for 250km using APD detectors.
Image Feature Point Extraction and Matching Method Based on Mobile Augmented Reality

In the mobile augmented reality system, the extraction of image feature points, the calculation of descriptor and the matching of feature points are the foundation and key of 3D tracking registration technology. In order to meet the real - time and stability of the mobile augmented reality system, improve the robustness of the algorithm, and realize the accuracy of the virtual real fusion of the augmented reality system, the image feature point extraction and matching method based on the mobile augmented reality technology is studied. This paper proposes an improved image feature point extraction and matching algorithm. S-ORB (Scale ORB) algorithm is proposed. The image pyramid is constructed by three times Gaussian filtering and three times down sampling. Fast corner is used to extract image feature points. The feature points are located by interpolation and described by rotation related brief sub calculation. Whether the feature descriptors match or not is calculated by hamming distance. RANSAC algorithm is used to filter and extract image feature points The false matching points are eliminated and the feature points are extracted and matched based on mobile augmented reality. The experimental results show that the accuracy of the improved S-ORB algorithm in the process of image feature point extraction and matching is significantly higher than that of ORB algorithm and brisk algorithm, and it has faster calculation speed. It not only improves the accuracy of image matching. It has better robustness, and better meets the real-time requirements of mobile augmented reality system.
RAVA: Region-Based Average Video Quality Assessment

Video has become the most popular medium of communication over the past decade, with nearly 90 percent of the bandwidth on the Internet being used for video transmission. Thus, evaluating the quality of an acquired or compressed video has become increasingly important. The goal of video quality assessment (VQA) is to measure the quality of a video clip as perceived by a human observer. Since manually rating every video clip to evaluate quality is infeasible, researchers have attempted to develop various quantitative metrics that estimate the perceptual quality of video. In this paper, we propose a new region-based average video quality assessment (RAVA) technique extending image quality assessment (IQA) metrics. In our experiments, we extend two full-reference (FR) image quality metrics to measure the feasibility of the proposed RAVA technique. Results on three different datasets show that our RAVA method is practical in predicting objective video scores.
Programming Multi-Agent Coordination Using NorJADE Framework

Context: Recently, norms become an important component in multi-agent systems. They represent standards, laws and ethics already used in several fields like sociology, philosophy and economics. Using norms, we can develop more flexible systems because agents can violate norms if the situation requires. Objective: This chapteraims to use norms in order to ensure the coordination between agents. The coordination mechanisms are used to reach collective goals of agents which are the main challenge of multi-agent systems. Method: To reach this goal, we extended NorJADE framework by the required coordination mechanisms. NorJADE framework is an extension of JADE framework to develop normative multi-agent systems. The proposed extensions are made thanks to extending the ontology and implementing aspects to develop the coordination mechanisms. Results: As a result, the developed extension allows implementing collective goals of multi-agent systems. The proposed approach is applied on the development of the conference management system (especially, the dispatching papers phase). This approach provides several advantages like flexibility, maintainability and suitability for open systems.