Reviewerly/exHarmony huggingface dataset:
The Development of Fotonovela Learning Media Assisted by Ms Publisher on Arithmetic Sequence and Progression

This research aims to (1) describe the process of developing a fotonovela learning media by using Ms Publisher on arithmetic sequence and progression, (2) to know the results of developing learning media Ms Publisher on arithmetic sequence and progression. Online learning media allows students to access information quickly and more efficiently. This research was processed through the stages of 4D that are define, design, develop, and disseminate. Development research results a product is tested validity, practically, and effectiveness. The research instruments used were questionnaire for needs analysis, validation sheets, test, and student response questionnaire. The subjects of the test were 34 students of XI MIPA 4 SMAN 1 Tempeh. The media validation includes three aspects, namely materian and question aspects, content aspects, and language aspects.The result of fotonovela validation including valid criteria with an average of 3,67. Then the effectiveness of media on students learning outcomes included in high level of effectiveness with percentage 88,24%. While the criteria of fotonovela media practicity gets the percentage of student response by 85,23% which is included in high criteria.
Social Robots a Strategic Antidote for Stress Among Engineering Students in Around Chennai

This Paper Is Trying To Explore The Reasons For Stress Among Student In India And How Robots Can Be Strategically Used To Counter It, Especially When The Robots Are Used For The Social Benefit They Are Termed As Social Robots. They Can Be Used As Tools For Reducing Stress Among Students Since In India Every Hour One Student Is Going For Suicides And Many Are Subjected To Different Type Of Adverse Effect Of Stress, Such As Depression, Anxiety And Loneliness, Etc, Therefore, If Social Robots Can Be Used As A Tool For Social Marketing For Reducing Stress Among Student, Since Subjects Like Math’s And Science Are Felt Difficult By The Students Which Had Been Successfully Taught By Such Social Robots Without Subjecting Them To Stress. At The Initial Stage Of Learning If Social Robots Are Introduced In Teaching The Anxiety Towards Such Subjects Goes Away At A Very Young Age And In The Later Stages Of Student' S Life A Student Will Be Feeling Distressed When Such Difficult Subjects Are Taught In Advance Level ,Eventually, Such Experiment Were Successful In Singapore And Japan. India Too Can Follow Them For A Noble Cause.
The Effect of Hypermedia-Based e-Book on Learning Achievement of Integral Calculus

This study aimed to investigate the effect of hypermedia-based e-book on mathematics students' integral calculus learning achievement.This study was an experimental research with pre-and post-test design.30 students of Mathematics department at Halu Oleo University participated as the subject in this study.The instruments consisted of the test of integral calculus and observation for students during the integral calculus class.The data were analyzed using descriptive analysis and inferential analysis.The findings show that there is a significant effect of hypermediabased e-book on students' integral calculus achievement.Moreover, It is also found that the students' participation level are high during the integral calculus class.
Improving A Quality Of Services Through Information System Model Of Academic Services Based On Customer Relationship Management At University

This research aims at seeing the improvement a quality of services through information system model of academic service based on customer relationship management (CRM) at university. This research is a part of developing research through a research and development ADDIE model that consists of Analyze, doing needs analysis and literature review. Design, determining the purposes of model design and describing each components of model. Develop, developing products and focusing on group discussion and experts’ reviews. Implement practicality test and effectively test. And Evaluate. This research only focuses on implementing, along with applying an information system model of academic service based on CRM at university. Subject of this research is Universitas Dharmas Indonesia, Sumatera Barat. Hypothesis testing done on this research is through Wilcoxon testing, because the data got is not normal distributed. Based on analysis result, it can be known that sig = 0,000 &lt; 0,05. It can be said that Ha is rejected. Therefore, a quality of services towards students before and after applying the information system model of academic service based on CRM at university a significant improvement. Even this model is only implemented at one university, yet based on analysis result, this model can be implemented to other universities because it is flexible and dynamic, and thus it can matched to the university needs.
DoveMAC: A TBC-based PRF with Smaller State, Full Security, and High Rate

Recent parallelizable message authentication codes (MACs) have demonstrated the benefit of tweakable block ciphers (TBCs) for authentication with high security guarantees. With ZMAC, Iwata et al. extended this line of research by showing that TBCs can simultaneously increase the number of message bits that are processed per primitive call. However, ZMAC and previous TBC-based MACs needed more memory than sequential constructions. While this aspect is less an issue on desktop processors, it can be unfavorable on resource-constrained platforms. In contrast, existing sequential MACs limit the number of message bits to the block length of the primitive n or below.This work proposes DoveMAC, a TBC-based PRF that reduces the memory of ZMAC-based MACs to 2n+ 2t+2k bits, where n is the state size, t the tweak length, and k the key length of the underlying primitive. DoveMAC provides (n+min(n+t))/2 bits of security, and processes n+t bits per primitive call. Our construction is the first sequential MAC that combines beyond-birthday-bound security with a rate above n bits per call. By reserving a single tweak bit for domain separation, we derive a single-key variant DoveMAC1k.
A Backward Single Source Shortest Path Algorithm For Directed Graph

A new directed backward variant of the Single Source Shortest Path algorithm was described in this paper. This algorithm accept that approaching adjacency list of the given graph vertex loads showed up in expanding request. The running time of forward, based strategy algorithm is the best aftereffect of O (n), which are the most ideal forward-backward SSSP consequences of Wilson et al. Moreover, the likelihood of the new algorithm additionally requires O (n) time.This is an equally improved version of exponentially and polynomial small probability derived by Wilson et al.
Sentiment Classification through Convolutional Neural Network Based Quick Sentiment Analysis

Sentiment Analysis (SA) is characterized as the region of study to analyze individuals' Sentiment, surveys, and mentalities from various languages or from web remarks.SA has spread to each conceivable space like budgetary, medicinal services, online items, internet business to get-togethers, media transmission, political causes and decisions.In the manuscript, a computerized framework, which forms a huge dataset of analysis for viewpoint based decisions is proposed.The sentiments are gathered by Natural Language Processing (NLP) and afterward it is assigned positive, impartial and negative.As the quantity of web information is exponentially expanding, it turns out to be increasingly imperative to create models to investigate the content information consequently.The text may contain different labels, for example, age, gender, nation, sentiment, review etc. Utilizing such labels may carry advantages to some modern fields, such huge numbers of investigations of classification of texts have showed up.As of late, the Convolutional Neural Network (CNN) has been utilized for the process of classification of text and has obtained better results.In the manuscript, Convolutional Neural Network based Quick Sentiment Analysis (CNN-QSA) is proposed for the assignment of sentiment classification.The most main reason for to utilize CNN in SA is that CNN can extract features from global data, and it can think about the relationship among these features.CNN has a convolutional layer to extract data by a larger part of text with convolutional neural system.The proposed CNN-QSA method is compared with the traditional methods and the results show that the proposed method is better than the traditional methods like SVM and Naive Bayes strategies.
A Modified Trimmed Median Filter Technique for Noise Removal in an Image

A modified trimmed filtration that is actually median when it comes to recovering the original images that are dishonored by the salt &amp; pepper noise is actually presented here.The refined the pixels tend to be checked for high or least pixel values for example, 0 or 255 in this suggested method. Then this expedient pixel is recognized as the noisy one otherwise maybe not a noisy one in the event that processed pixel is actually 0 or 255. A two-dimensional 3*3 window can end up being selected with this specific noisy pixel as center component and being a running pixel. In this 3*3 window, then this algorithm can replace the value of the loud pixel as mean of these 9 elements in the 3*3 screen if all 9 aspects in the window are values like 0’s or 255’s. Then this modified trimmed median filtration technique can be applied if most of the 9 elements tend to be not 0’s or 255’s. This formula can eliminate the 0’s and present that is 255’s the 3*3 window and change the loud pixel value as average of mean and median of this remaining pixel in 3*3 screen. Simulation results imply that the proposed modified trimmed filter that is actually median can be works really in the event that picture can end up being influenced by salt and pepper sound.The outcome obtained from the recommended modified trimmed filter is compared with the AWMF, DBUTVF, and MDBUTMF. This proposed MTMF filtering technique is actually analyzed on various images for different quality testing parameters like PSNR, MSE.
Advantages and disadvantages of the traditional education system

The article will analyze the strengths and weaknesses of the traditional education system in order to better understand and reveal the research topic. Undoubtedly, the transition to a new system of education is yielding positive results. However, the disadvantages of traditional teaching cannot be overemphasized.Citing the contribution of scholars to pedagogy in their time, we would like to prove that the quality of traditional education has been implemented at its highest level. The traditional education system is characterized by the pedagogy of reputation. The authority of traditional education has a complex and sophisticated structure, in which the content of teaching and education is determined by the reputation of the nation and the teacher.The point of its content is in the presence of a model and standards. Surely, none of "developmental systems", "interactive whiteboards", "technologies", "upgrades" can replace the unique role of the teachers. However the advantages and mobility of the updated program are endless. A traditional teacher guides students, directs them into the right path, prevents various mistakes, ensures that students achieve their goals in a timely manner and work tirelessly for it.
AI as a Legal Person?

Abstract Cyclical advancements in artificial intelligence (AI) are usually accompanied by theories advocating the granting of legal personhood to sophisticated, autonomous computers. This chapter criticizes such theories as incorrect—a possible result of legal scholars being seduced by incomprehensible technical terminology, sensationalistic stories in the popular press, and ‘creative’ photo filters that transform our faces into animals. Discussions as to when computers should be recognized as persons are, logically, outside of the scope of intellectual property law. The granting of legal personhood is not premised on the existence of consciousness, intelligence, or creativity. Recognizing an entity as a legal person is a normative choice dictated by commercial expediency, not the result of fulfilling any technical criteria. While it is necessary to acknowledge the blurring of borders between art and (computer) science, as well as the increase in the technological sophistication of the tools used by authors and inventors, it is also necessary to state that even an exponential increase in ‘computer creativity’ will not sever the link between the computer and its user. Before discarding the idea of legal personhood for ‘creative algorithms’ once and for all, the chapter explores the relationships between autonomy and creativity. In particular, it places technical terms such as ‘AI’ and ‘autonomy’ in their original context and criticizes uninformed attempts to imbue them with normative connotations.
Conversational Chatbot with Attention Model

A Chatbot is an Artificial Intelligence (AI) software that can give a simulation of a conversation between two humans. This Chatbot is based on State of the Art Transformer model architecture which works on Attention mechanism. The transformer model is a very efficient Sequence to Sequence model. Machine translation is at its core , simply a task in which you map the sentence to another sentence. Sentences consist of words that are equivalent to mapping to a different sequence. Beam search and Byte-pair encoding are the algorithms used in our model for heuristic searching in decoder units. A combination of many Unsupervised prediction tasks were carried out by fine-tuning using a multi-task objective every time the user starts the conversation. It takes a new persona for every new session opened and communicates with that persona which is chosen at random. Forwarding the perplexity by the ability to understand and generate natural language this model gives a whooping Hits@1 score efficiency as high as 80.9 percentage.
Chatbot Integration

In previous chapters, we learned to develop a chatbot from the Azure Portal, connecting it with question-and-answer services, LUIS, and others; developed message templates to engage users; explored different business scenarios in which we can deploy chatbots; and created a better user experience using chatbots. In this chapter, we focus on integrating Azure chatbots with different channels. Again, the approach is simple and clear for both technical and nontechnical readers to understand. The objective of showing the integration of a chatbot with other applications is to demonstrate the convenience behind Azure chatbots in which a high level of coding is not mandatory. By using the standard services available in Azure Portal, integration is easy to achieve.
Semantic Analysis and Thematic Annotation

This contribution aims at investigating some methods, resources and tools devoted to the semantic analysis and the thematic annotation.The first part, devoted to the paradigmatic axis, describes available lexico-semantic resources for the classical languages, which belong to accomplished or on-going projects.Starting from Minozzi's Latin WordNet, the structure of multilingual lexico-semantic networks mapped on the original (American English) Princeton WordNet will be discussed and criticized.The automated procedures to create the basis for a new Ancient Greek WordNet from bilingual dictionaries (mainly: the LSJ) will be illustrated and the on-going project named Homeric Greek WordNet, validated by students and scholars, will be presented.Furthermore, the difficulties to map the conceptual nodes related to the ancient world on a modern semantic network will be discussed.The second part of the contribution, devoted to the syntagmatic axis, is focused on the semantic and thematic annotation of classical and biblical texts.The top-down approach to the annotation of themes and motifs in the Memorata Poetis Project is illustrated and pros and cons are discussed.In that project, devoted to the study of multilingual and multicultural intertextuality, a taxonomy of thematic labels established a priori is shared by all the members of the project.Finally, the bottom-up approach of Euporia is discussed.In this approach, folksonomies are created by the annotators, and the labels are grouped and organized in ontologies a posteriori, during an incremental process of revision.
Hash Function Based Keyword Searchable Encryption Framework in Cloud Server Using MD5 and MECC

Cloud Computing expands its usability to various fields that utilize data and store it in a common space that is required for computing and the purpose of analysis as like the IoT devices.These devices utilize the cloud for storing and retrieving data since the devices are not capable of storing processing data on its own.Cloud Computing provides various services to the users like the IaaS, PaaS and SaaS.The major drawback that is faced by cloud computing include the Utilization of Cloud services for the storage of data that could be accessed by all the users related to cloud.The use of Public Key Encryptions with keyword search (PEKS) provides security against the untrustworthy thirdparty search capability on publicly encryption keys without revealing the data's contents.But the Security concerns of PEKs arise when Inside Keywords Guessing attacks (IKGA), is identified in the system due to the untrusted server presume the keyword in trapdoor.This issue could be solved by using various algorithms like the Certificateless Hashed Public Key Authenticated Encryption with Keyword Search (CL-HPAEKS) which utilizes the Modified Elliptic Curve Cryptography (MECC) along with the Mutation Centred flower pollinations algorithm (CM-FPA) that is used in enhancing the performance of the algorithm using the Optimization in keys.The additional use of Message Digests 5 (MD5) hash function in the system enhances the security Level that is associated with the system.The system that is proposed achieves the security level performance of 96 percent and the effort consumed by the algorithm is less compared to the other encryption techniques.
A Design Pattern Structure Specification to Extract Statistical Report

Design patterns are ecological abstract documents which offer acceptable solutions for the continual issues. It allows developers to communicate in a well-known way with the system design. This paper reviewing set of research articles to know the current trend on design pattern’s applications. This research also introduces the structure of a new pattern that acts as data analyzer of any software given as input. This pattern acts as centralized data storage of concrete class objects. The instances are analyzed by various functionalities of analyzer in-order to derive results. It helps to solve some of the day to day problems faced by the software designer. This pattern provides services for a group of concrete members to design set of functionalities in order to support data analytics. The structure and its applicability on software are examined, using a case study.
Network affinity aware energy efficient virtual machine placement algorithm

Efficient mapping of virtual machine request to the available physical machine is an optimisation problem in data centres. It is solved by aiming to minimise the number of physical machines and utilising them to their maximum capacity. Another avenue of optimisation in data centre is the energy consumption. Energy consumption can be reduced by using fewer physical machines for a given set of VM requests. An attempt is made in this work to propose an energy efficient VM placement algorithm that is also network affinity aware. Considering the network affinity between VMs during the placement will reduce the communication cost and the network overhead. The proposed algorithm is evaluated using the Cloudsim toolkit and the performance in terms of energy consumed, communication cost and number of active PMs, is compared with the standard first fit greedy algorithm.
An Efficient Parallel and Distributed Algorithm on Top of MapReduce

The undertaking of subspace bunching is for discover concealed groups present in various subspaces inside of dataset. Lately, through the accumulate development of information extent as well as information measurements, conventional subspace grouping calculations convert wasteful just as ineffectual whereas extricating learning in the huge information condition, bringing about a rising need to structure productive parallel circulated subspace bunching calculations to deal with huge multi- dimensional information by an adequate calculus expense. This article provides MapReduce-dependent calculation of a parallel mafia subspace bunching. The calculation exploits MapReduce's information apportioning in addition undertaking parallelism and accomplishes decent tradeoff amongst the expense for plate gets to besides correspondence fare. The exploratory results indicate near immediate accelerations and demonstrate the elevated adaptability and incredible opportunities for implementation of the suggested calculation.
Integration of IIoT and AR Technologies into Training &amp; Teaching via Laboratory Equipment

The article considers the integration of the Augmented Reality (AR) and Industrial Internet of Things (IIoT) technologies into teaching and training via a laboratory complex, designed for the practical lab classes for the engineering students. The purpose of this integration is to acquire skills in debugging such and similar systems and to analyse the relevance of these technologies in various industries, including the electric power industry. Particular attention is paid to the electric drive systems control. The paper describes the relevance of these technologies for the educational process and the industry. It also explains the need for the existing industrial automation systems modernization. A review of existing AR and IIoT technologies is presented. The article is largely devoted to the description of the laboratory complex modernization, including the ThingWorx software, as the latter allows implementing both the AR technology and the IIoT. The paper also describes the hardware and lays out the experiment, consisting of the remote start of the electric drive and the control of its operating temperature by means of a sensor. The presented AR section includes a model of frequency converter and the model of asynchronous electric drive. The conclusion presents the results, i.e. the list of advantages and disadvantages of the ThingWorx AR software platform, the modernization outcome.
Training of human resources as an element of development and building discipline

The publication's purpose is to demonstrate how training affects the development of soldiers in the armed forces and shapes discipline within the military.Design/methodology/approach: As part of the conducted works, the following research questions were raised: Q1.Is the amount of training sufficient to ensure proper development of a soldier and to make him follow instructions and orders?Q2.Do superiors use all available forms of training?A total of 103