Reviewerly/exHarmony huggingface dataset:
Quantum Theory

In this chapter, we introduce the reader to the field of quantum theory with emphasis on applications in cryptography and communication. Quantum devices are physical instruments that allow two or more parties to harness the quantum mechanical properties of superposition and entanglement to perform tasks, some considered to be impossible with non-quantum, or classical devices. In this chapter, we will learn the fundamental differences between quantum and classical processes and introduce some quantum protocols which demonstrate the advantages of quantum devices over their classical counterparts. After introducing the basics of quantum theory, we cover several topics of interest in quantum information. We begin with an overview of super-dense coding, quantum teleportation, and quantum key distribution, communication protocols that each demonstrate the security features of quantum communication. We then peer into the realm of current research by first introducing quantum error-correction and its connections to some old problems in graph theory (Weaver's quantum Ramsey theorem), and then introduce the topic of non-local games and quantum correlations and discuss their role in device-independent quantum cryptography. We conclude with a historical survey of the field, providing many references for the reader to more deeply explore the practical and theoretical sides of quantum information.
Potential Sources of Internet of Value Systemic Risk

With the continuous development of the Internet of Value (IoV), the lack of interoperability between networks of trust can become an important source of systemic risk. Indeed, the main problem that the blockchain technology faces at the moment for the sake of the IoV is the lack of interoperability and the obstacles faced in building a second and third layer network. Thus, interoperability is a must, and its lack is a potential source of systemic risk. This chapter explores some of these systemic risks arguing interoperability is of paramount importance, especially in the current expansion phase where the IoVs new business models come up to erase long-standing barriers and enable the democratisation of finance and property by empowering its users to transact instantly not only across borders, but also across currencies while closing cultural and socioeconomic gaps.
Psychological Problems Faced by Nautical Students of Politeknik Bumi Akpelni Semarang in Speaking Maritime English

This study aimed to explain: (1) psychological problems faced by nautical students in speaking maritime English and it causes, (2) the effects of psychological problems to speaking maritime English, and (3) the class situation that expected by the students. This study employs a qualitative case study. In order to collect the data, the researchers used classroom observation, questionnaire, and semi-structured interview. This study revealed that: (1) There were only four of five prominents pychological problems faced by nautical students in speaking maritime English, they were; fear of mistakes because most of the students were afraid if they could not deliver the message clearly, mispronounced, and then being laughed by their friends; shyness because they felt that their friends had better ability rather than themselves; anxiety because they did not understand English well and some of them were lacking of vocabularies, grammar, and they were afraid of being negatively evaluated by their friends or lecturers; lack of confidence because they felt that their English were bad and other friends were better than themselves, so they did not believe in themselves and felt insecure. However, they did not have problems regarding their motivation because they really wanted to sail abroad. (2) There were effects of psychological problems because it made the students’ performance was not maximal yet. (3) Most of students wanted a relaxed, happy, and supportive speaking class situation, while some of them expected that speaking class was not too relaxed because they have to be forced in learning.
Sentiment Analysis Based on Quality Aspects in Effort to Improve Quality of Indhome Product and Services PT Telkom Indonesia Tbk

The fierce competition for product quality in the telecommunications industry makes every company compete to provide products that are acceptable and liked by the public, including PT Telkom Indonesia Tbk with one of its superior products, Indihome.To find out the advantages of a product or service, it is necessary to evaluate the opinion of the online review.One method that is often used to analyze online reviews is sentiment analysis.This study conducted a sentiment analysis on the product or service Indihome PT.Telkom Indonesia Tbk is based on a review written in tweet on Twitter.First, Each tweet related to Indihome is collected into data and then categorized based on eight aspects of the dimension of quality (Performance, Reliability, Features, Fit & Finish, Serviceability, Durability, Conformance dan Aesthetics) with several stages.First, the keyword term aspect of the product quality dimensions are expanded with the help of the Term Frequency Inverse Cluster Frequency method or better known as TF-ICF.Then, Lantent Dirichelet Allocation (LDA) to find hidden topics from tweets and calculate Sematic Similarity to categorize each hidden topic.Furthermore, the comparison of the combination of classification algorithm types: SentiWordNet, SentiCircle, SVM and Random Forest was tested using an evaluation factor, this was done to get a sentiment model with the best performance.The results show that the categorization of aspects using LDA+Semantic Similarity model and combining it with TF-ICF 100% to expand the terms gave 70.1% results.The sentiment classification shows that the combined SentiWordNet+SVM model assisted by SentiCircle produces a performance of 96.3%.Finally, the researchers used these two methods to obtain an evaluation based on eight aspects of the dimension of quality towards improving the quality of Indihome's products and services.The researcher found that the ease of service aspect (Serviceability) had a review with the highest negative sentiment reaching 20.82% compared to other dimensions (Performance : 12.86%, Reliability: 2.
UK experts: control police sharing of facial ID data

The use of live facial recognition (LFR) technology by the police should be strictly limited and overseen by an independent ‘ethics group’, according to a high-powered panel of advisers set up by the UK Government.
Semi-Supervised Non-Linear Dimensionality Reduction Technique for Sentiment Analysis Classification

With the quick development in data advances, client created substance, for example, reviews, ratings, recommendations can be advantageously posted on the web, which have powered enthusiasm for sentiment classification. The quantity of records accessible on both online and offline is expanding drastically. Sentiment Classification has a wide scope of utilizations in review related sites. In this paper, we present our investigations about some exploration paper in this field and exhibited our plan to distinguish the sentiment extremity of a given content as positive or negative by lessening the documents dimension, through utilizing semi-supervised non-linear dimensionality decrease technique. For Sentiment Classification, Random Subspace strategy is utilized. For exploratory assessment, openly accessible sentiment datasets can be utilized to check the adequacy of the proposed technique.
Examining the Effects of Mobile Seamless Learning on Students’ Literacy

Technological developments create new opportunities to develop learning with a technological approach.Borderless learning is identified as a form of mobile learning that can be accessed and continuously improved through technology.The application of mobile seamless learning is defined as a learning model that enables us to learn anytime and anywhere.The purpose of this study is to test whether there is an effect of the application of mobile seamless learning on Islamic Education subject based on the 2013 Curriculum on student achievement in the context of knowing students' literacy.A quantitative approach with a quasi-experimental type of research was chosen in this study.The sample is 120 from 255 students using the cluster random sampling technique.Data were collected by learning outcomes tests.The independent sample t-test shows that the average value of the experimental class with the application of mobile seamless learning is higher than the control class students with blended learning.In conclusion, there was a significant influence of the application of mobile seamless learning on student achievement in the context of knowing students' literacy.
Untangle the Web: Introduction to Browsers and HTML

Cochenour designed this workshop for serialists who have had little or no experience with Internet browsers. After defining essential concepts and functions of browsers, the presenter and two assistants led the sixteen participants in a series of exercises in Netscape Navigator. Attendees learned to customize a Web screen, assign HTML markup tags to text, and incorporate images and links to other Web sites into a home page. Ms. Cochenour provided two handouts, which contained not only basic information about browsers, but several pertinent references as well. [Article copies available for a fee from The Haworth Document Delivery Service: 1-800-342-9678. E-mail address: getinfo@haworth.com]
FAKE CURRENCY DETECTION USING IMAGE PROCESSING

The advent of color printing technology has also allowed for counterfeit currency notes to be printed and duplicated on a large scale. This has been beneficial and used by those who want to work on high notes. Due to the existence of counterfeit documents, India is plagued by various problems such as black money and corruption. This has led to a sharp decline in the value of the country's currency. The following article describes an image processing system that can verify the authenticity of notes in Indian rupee.
Media studies in scientific and educational discourses: in search of a research object

In 2019, the Borys Hrinchenko Institute of Journalism of Kyiv University began work on a new research topic "Media Studies in Scientific and Educational Discourses" (2019-2024), the relevance of which is due to: 1) the need to form a new direction in Ukrainian scientific discourse - media studies , which is in the process of finding its research object, delineating the boundaries of the field, formulating theoretical positions, defining practical areas of application, approval of its own metalanguage and methodology; 2) the need to combine in the educational process the theory of media studies and media practice; 3) the general tendency to carry out interdisciplinary and intersectoral integrated research; 4) the lack of Ukrainian scientific discourse not only special works on the formation of media studies as one of the youngest branches of science, but also generalizing theoretical research on the typology of media studies disciplines, which in teaching practice for several years in a row typological media studies. Evidence of this is, for example, the following list of disciplines at the Institute of Journalism: "Media Culture", "Media Education", "Media Policy", "Media Law", "Media Psychology", "Media Psychology", "Media Management and Media Marketing", "Media Economics", "Media Economics", "," Media Policy and Information Security "," Media Law and Protection of Intellectual Property "," Media Planning and Media Forecasting "," Mediarelationships "and others. (information as of December 2019).
High Throughput Multi-kernel Fourier Optic Classifier

An optical Fourier Network is a system empowered by a passive Fourier transformation enabling convolutional neural networks. Here, we demonstrate high throughputs by parallelizing the system via multiple-input and multiple-kernel capability of this convolutional classifier.
Digital Forensics in Cloud Computing

For years, digital forensics has been used in computer crime investigations.It has changed and progressed in response to technological advances, and is currently entering a new phase as the concept of cloud computing is emerging.Cloud computing is a computing model that enables on-demand network access to a shared pool of configurable computing resources from anywhere in the world (e.g., networks, servers, storage, applications, and services).In the field of digital forensics, the concept of cloud computing has produced unique obstacles.This research paper aims to investigate the digital forensics issues in the model of cloud computing and provide the necessary solutions, guidelines.Traditional digital forensics and cloud computing are also covered in depth.
A STUDY OF TEACHING ENGLISH SPEAKING SKILL THROUGH ONLINE LEARNING IN SMP UNGGULAN NU MOJOAGUNG

This research was carried out when Coronavirus Disease-19 (COVID-19) pandemic occurred in various countries. This virus attacks the respiratory system and spreads very quickly to various parts of the country, one of which is Indonesia. The spread of the virus has forced the government to issue several policies aimed at breaking the ropes of the spread of the virus. One of the policies issued is to conduct online learning. This study answered three research problems, namely how to prepare, process, and results of teaching English speaking skills through online learning. This study used a descriptive qualitative method by conducting interviews. The results of this research indicated that teaching English in speaking skill through online learning is less optimal than face-to-face speaking learning. The teacher used WhatsApp as a media and take advantage of its features as a method of learning. Those media and methods are very effective compared to other methods and media. The teacher conducted learning by recording sound about the explanation of material. The researcher concluded that teaching English in speaking skills through online learning was not optimal. WhatsApp is an effective application used as a medium and method in teaching English in speaking skills through online learning.
PENERAPAN BUKU AL-FATIH DALAM MENINGKATKAN KEMAHIRAN MEMBACA KITAB KUNING DI PONDOK PESANTREN MADINATUL ILMI DDI SIAPO TOLI-TOLI

This study aims to find out how the application of the Al-Fatih Book in improving reading skills of the yellow book; and to know the steps of its application in the learning process. The research approach used is descriptive qualitative. techniques in data collection through interviews, observation, and documentation. The results of the study show that the application of the Al-Fatih Book is almost the same as other fast methods of reading the yellow book, only in its application, the Al-Fatih book uses three volumes of books, namely: the Nahwu Al-Fatih book, the Taṣrif book and the Al-Fatih practice book. munīr. while in increasing the reading skills of the students, it can be seen from the value of the practice and practice of the students in the ability or proficiency in reading the yellow book.
An efficient secure sum of multi-scalar products protocol base on elliptic curve

The secure scalar product protocol is widely applied to solve practical problems such as privacy-preserving data mining, secure auction, secure electronic voting, privacy-preserving recommendation system, privacy-preserving statistical data analysis, etc.. In this paper, we propose an efficient multi-party secure computation protocol using Elliptic curve cryptography, which allows to compute the sum value of multi-scalar products without revealing about the input vectors. Moreover, theoretical and experimental analysis shows that the proposed method is more efficient than others in both computation and communication.
Impact of Cynicism Behaviour on Employee Engagement

An Employee is the pillar of strength in an organization, his contribution towards work is vital. Several problems are faced by an employee while working in the organization; it can be in the form of his work life balance, interpersonal relationship with his superiors or colleagues, health issues, job satisfaction, and job commitment. The word ‘Cynicism’ denotes the belief that people always act selfishly. Employee Cynicism refers to an attitude that arises due to frustration, hopelessness etc. Now-a-days,Employers are willing to recruit an employee who is engaged in the organization for the long period. Engaging an employee with the organization is a difficult task. Employee Engagement insists to make an employee aligning with the company vision, mission, and goals. The researcher wants to study the impact of Cynicism behaviour on Employee Engagement at the workplace.
Comparative Study on Text Segmentation Techniques

Text segmentation, whether printed, handwritten or cursive, is one of the most complicated phases in any OCR. The accuracy of recognition will be heavily reliant on good segmentation. Image segmentation is a crucial component of image analysis and the field of computer vision. Researchers have developed several techniques for segmentation, each of which is used for different types of segmented objects. At present no any universal method is available for image segmentation. Existing image segmentation techniques are not capable to deal with images of any types. This survey looked at a variety of image segmentation techniques, evaluated them, and discussed the issues that came up as a result of using them
HoneyModels: Machine Learning Honeypots

Machine Learning is becoming a pivotal aspect of many systems today, offering newfound performance on classification and prediction tasks, but this rapid integration also comes with new unforeseen vulnerabilities. To harden these systems the ever-growing field of Adversarial Machine Learning has proposed new attack and defense mechanisms. However, a great asymmetry exists as these defensive methods can only provide security to certain models and lack scalability, computational efficiency, and practicality due to overly restrictive constraints. Moreover, newly introduced attacks can easily bypass defensive strategies by making subtle alterations. In this paper, we study an alternate approach inspired by honeypots to detect adversaries. Our approach yields learned models with an embedded watermark. When an adversary initiates an interaction with our model, attacks are encouraged to add this predetermined watermark stimulating detection of adversarial examples. We show that HoneyModels can reveal 69.5&#x0025; of adversaries attempting to attack a Neural Network while preserving the original functionality of the model. HoneyModels offer an alternate direction to secure Machine Learning that slightly affects the accuracy while encouraging the creation of watermarked adversarial samples detectable by the HoneyModel but indistinguishable from others for the adversary.
RETRACTED: Knowledge Verification Method Based on Artificial Intelligence-based Knowledge Graph Construction

Abstract The knowledge graph connects real-world entities and concepts through their relationships, connects all different types of information to obtain a relationship network, and can analyze “relationship” issues. Creating a knowledge graph is a continuous process, and it needs to continuously learn new knowledge and update existing knowledge in the library as time and events change. However, since the accuracy of the updated new knowledge cannot be guaranteed, the new knowledge must be verified. This paper aims to study the knowledge verification method based on artificial intelligence-based knowledge graph construction. Based on the analysis of the knowledge graph construction process, the knowledge graph construction method and the knowledge verification method, knowledge verification is realized by constructing a probabilistic soft logic model. The experimental results show that the recall rate, F1 value, and AUC value of the candidate knowledge set are verified by the knowledge verification model proposed in this paper. Therefore, it can be inferred that the knowledge verification model proposed in this paper is effective.
Application Optimization of Fine-grained Vehicle Classification based on Backbone Network

As an important branch of fine-grained visual classification, relevant research on fine-grained vehicle model classification is of great significance to the promotion of smart travel and transportation applications. In this paper, we propose a set of optimization schemes for fine-grained vehicle model classification based on the backbone network like EfficientNet. The presented schemes, which have been relatively few studied in the other networks, is optimized through input data, training and inference process with little extra costs but distinct benefit. In particular, based on the characteristics of the vehicle model images, a novel data augmentation method, Center Fill with Shifted Quadrants (CFSQ), is proposed to facilitate effective feature extraction during the training and inference stage. Experiments on Stanford Car-196 dataset validate the accuracy and efficiency of our proposed method, which could achieve a high classification accuracy close to the state-of-the-art methods. Moreover, reasonable suggestions for the improvement and application are provided of the Stanford Car-196 dataset in this paper.
Shortest Distance Queries on Encrypted Graph Data Based on GENOA

Abstract: In the execution time of the nearest distance queries, which means shortest distance queries on the encrypted graph data that stored in external storage like cloud storage, in previous scheme there are some challenges as how to figure the accurate shortest distance in efficient and secure way. In previous work a novel scheme of Somewhat Homomorphic Encryption (SWHE) is implemented to overcome the issues mentioned above and this SWHE is used for encryption. The SWHE will encrypt the output values (shortest distance) by 2-hop cover labeling (2HCL). The storage space of this SWHE is not sufficient for the data owner and it mostly gives the negative results and very low efficient. So, to provide the best efficient, accurate result and better storage for data owner a new novel scheme is implemented in this paper. A new proposed scheme called Graph Encryption scheme for shortest distance queries (GENOA) and the 2HCL index is also implemented. This GENOA is for execution of the shortest distance queries of graph data, this proposed scheme is highly efficient, and give the accurate result as per the queries. This new scheme help in storage and security also. Index Terms: Graph encryption; 2-hop cover labelling; Graph Encryption scheme for shortest distance queries (GENOA); Shortest distance queries.
Forensic Analysis of Security features in India Bank Cheque- Authentication &amp; Recognition through Docucenter Nirvis

Abstract: Cheque is one of the most important and commonly encountered financial documents by many individuals and banks for various financial transactions all over the world. Thus, the security and integrity of the cheque is the acute need. Different kind of security features are embedded in bank cheques in order to prevent fraud and counterfeiting of cheques and other bank security documents. Security features appended are in two different ways covert and overt features, some of which are watermarks, logo, serial number, A/c number etc. which can be viewed under different light sources and instruments for examination. In this study the embedded security features of Indian Bank Cheque are examined under instrument Docucenter Nirvis. After examination, deriving to the conclusion that the Indian bank note is appended with ample security features. Keywords: cheque, security features, embedded, examination, counterfeiting