Reviewerly/exHarmony huggingface dataset:
ON QUANTUM CRYPTOGRAPHY

In the late twentieth century, human race entered the era ofinformation technology (IT). The IT industry, which deals with the production,processing, storage and transmission of information, has become an integralpart of the global economic system, a completely independent and significantsector of the economy. The dependence of the modern society on informationtechnologies is so great that omissions in information systems may lead tosignificant incidents. Telecommunications are the key information technologyindustry. However, information is very susceptible to various types of abuseduring transmission. The units for data storage and processing can bephysically protected from anyone wishing harm, but this does not hold truefor the communication lines that span hundreds or thousands of kilometersand are virtually impossible to protect. Therefore, the problem of informationprotection in the field of telecommunications is highly significant. Cryptology,particularly cryptography, deals with this issue. Quantum cryptography is arelatively new field ensuring safe communication between the sender and therecipient using the laws of quantum physics. This paper seeks to address theprinciples of the quantum distribution of a key for information encryption andthe fundamental problems arising from the execution.
Low-complexity acquisition of 180-degree panoramic video using early data reduction

This paper presents a low-complexity video acquisition system based on multiple cameras and processors for generating panoramic images with spatial resolutions beyond ultra-high definition and field of view (FoV) of 180 degrees. The UHD 180-degree images are formed by stitching nine high-definition images captured from individual cameras, mounted in regular geometric structure, covering a FoV of 180 degrees around the acquisition viewpoint. An experimental study is carried out to reduce the computational complexity required by feature extraction and matching which are the most complex tasks in the image stitching process. Based on an early data reduction approach, it is shown that good quality stitching can be achieved with low computational complexity. Overall the proposed system is capable of capturing 180-degree panoramic images of ultra high definition using low-cost cameras and processors, which makes it suitable for applications with highly demanding resolution requirements.
Construction and Research of Internet+ Experimental Teaching Platform Based on Artificial Intelligence

The research of Internet + experimental teaching platform based on artificial intelligence makes full use of artificial intelligence, WEB technology and Internet + to transform and improve the traditional experimental teaching.Through JAVA, HTML and Python and other languages to build a one-card system, intelligent access control and electronic control system, teaching management system, intelligent monitoring system, Internet experimental reservation system.
Pengembangan Fitur E-Matur dengan V-Model sebagai Alat Pengaduan Publik untuk Website Badan Kepegawaian Negara

Bagian Informasi Kepegawaian dan Komunikasi merupakan sebuah divisi yang ada pada Kantor Regional II Badan Kepegawaian Negara Surabaya. Layanan pengaduan publik oleh Bagian Informasi Kepegawaian dan Komunikasi melalui website memerlukan fitur pengelolaan. Penelitian pengembangan ini menggunakan metode V-Model. Proses pengujian yang dilakukan meliputi unit testing, integration testing, system testing, dan acceptance testing. Unit testing dilakukan dengan basis path testing dan menghasilkan 4 independent path dari perhitungan cyclomatic complexity pada kasus uji unit addPIC. Integration testing pada kasus uji fungsi addPIC dari class controller admController dengan fungsi insertPIC dari class model admModel menunjukkan hasil valid. System testing dilakukan terhadap 28 fungsi pada sistem, yang menunjukkan hasil valid. Acceptance testing dilakukan terhadap stakeholder atau user menggunakan black box testing menunjukkan hasil bahwa stakeholder menerima fungsi dalam sistem yang dibuat dan telah sesuai dengan kebutuhan fungsional pada dokumen elisitasi kebutuhan sistem. AbstractStaff Information and Communication Division is one of division in State Staffing Agency Regional Office II Surabaya. Public complaint service handled by Staff Information and Communication Division through website require management features. This development research used V-Model method. The testing process includes unit testing, integration testing, system testing, and acceptance testing. Unit testing used the base path testing that produces 4 independent paths from the calculation of cyclomatic complexity in the addPIC unit test case. Integration testing in the test case of the addPIC function from controller class admController with the insertPIC function from model class admModel shows valid results. System testing performed on the 28 system functions show a valid result. Acceptance testing conducted against stakeholders or users using black box testing indicates that the stakeholders have received the system functions and had been in accordance with the functional requirements that exist in the document elicitation system requirements.
Convolutional Neural Network Classifying Tumors

Leukemia is a worldwide disease. In this paper we demonstrate that it is possible to build an automated, efficient and rapid leukemia diagnosis system. We demonstrate that it is possible to improve the precision of current technologies from the literature using the description power of well-known Convolutional Neural Networks(CNN's). Therefore the clinical support for Chronic Lymphocytic Leukemia(CLL) type classification becomes a necessity. In this paper, the author has proposed a technique to classify the Chronic Lymphocytic Leukemia (CLL) using the methodology of Convolutional Neural Network (CNN) classifier. The experimental results can cover only the first classification process with high excellence in the accuracy of differentiating the normal and abnormal cells. Further the developed model can prove the effectiveness of the second neural network classifier.
FROM PERSONAL COMPUTER TO FACEBOOK: INFORMATION AND COMMUNICATION TECHNOLOGY AND ENGLISH WRITING RESEARCH

This paper describes several research conducted in the area of Information and Communication Technology and English Writing. The aim of this paper is to paint a picture about the kind of technology used in writing which caught the attention of researchers. It covers the trend of ICT utilization in English writing from 1990s to date, as well as delineating the future research areas in this field. It covers the research on the use of Word Processor, Blog, and Facebook in English writing teaching and research. As described herein, the use of technology especially ICT goes hand in hand with the development of humanity including in the field of education. In English writing the future will only see more pervasive and intensive use of ICT in education including in English writing classes.
The Development Of Android Based Learning Media In Basketball Subject To Establish The Ability Of Fik Unimed Students

In general, this research aimed to build a new powerful resource for college students which can be accessed by them whenever they want and wherever are using their android based smartphone.Furthermore, this research was also made to encourage and sharpen lecturer's creativity in order to make a learning media like downloadable application where can be easily found on play store and install that program on their android based smartphone, so there would be no more excuses for lecturers to be out of date from the latest technologies and information.This application contains tutorials of whole basic technique related to basketball, and complete guidance of basketball regulations along with signs and codes of the referee.The making of this application, which can be found and downloaded on "Playstore" by everybody, involved a number of lecturers in Faculty of Sport, Medan State University, to be instructors in the videos for delivering lessons of basketball technique.Based on the first test results of 30 students who have downloaded the application and learned from it there were 28 students (>80%) who categorized as excellent both in motoric skills and referee regulations comprehension and merely 2 students with good category.On the other hand, another class of 30 students who have not been introduced with the application gained lower score from those who have been by as many as 19 students in excellent category and 11 students in good category both in basketball basic techniques and arbitration.
Aplikasi Pengenalan Kebudayaan Provinsi Riau Berbasis Android

Current technological developments have an impact on the application of technology in the field of education, especially in the learning process. SMA Negeri 1 Cirenti is a school located in Riau Province, Kuantan Singingi Regency. The learning process in SMA Negeri 1 Cirenti which has been done in a conventional way, namely the teacher explains the subject matter based on books and other supporting media such as material about the introduction of culture in Riau Province. The material is very important for students to preserve culture and customs in the future, and so that the material is more interesting, the use of technology as a learning media that can be accessed wherever students are. Smart phone technology can be utilized in the education sector by creating applications that are capable of supporting learning media. The purpose of this study is to design and create an Android-based mobile phone application as an application for learning introduction to culture in Riau Province. Making this application uses a prototype development method with eclipse software and java programming language, as well as for testing applications with the blackbox method. The results of this study are applications that introduce educative and interactive culture of Riau Province based on Android to students and teachers with applications that can be directly installed on a smart phone.
Decentralized Autonomous Video Copyright Protection

We design a decentralized autonomous protocol for video copyright protection. Our protocol enables copyright protection for videos on the blockchain where users can submit proposals against videos that potentially infringe copyright, and a copyright committee can vote on the proposal for consensus. Penalty and reward are carefully designed in the protocol to ensure long-term stability. Furthermore, we propose a deep learning based approach for fast and accurate similar video detection, which will help fight against video plagiarism. Our quantitative evaluation shows that our approach can achieve high detection rate for similar videos, and run in real time.
A Comparative Study of NLP Topic Modeling Methods and Tools

Analytics today is all about obtaining 'information' from data. Text mining techniques can rapidly gain valuable knowledge and insights from a large amount of unstructured data which is obtained from digital text-based datasets such as web pages, online documents, blogs, articles and emails. Topic modeling is a powerful form of text mining which can be used to extract the data and fetch the information that we are looking for. Topic models represent documents as a 'Bag-of-words' model without taking into consideration the order in which words appear. This paper is meant to study the comparison between four methods which come under the area of Topic Modeling. These methods are Latent Semantic Analysis (LSA), Probabilistic Latent Semantic Analysis (PLSA) and Latent Dirichlet Allocation (LDA). It is also meant to discuss tools available for Topic Modelling-Natural Language Toolkit (NLTK), Gensim and Mallet.
Improving the Students’ Speaking Skill through Debate Technique

AbstractSpeaking is the highest target in English language because speaking is basis of communication which becomes a function learning. There are many kinds of technique to improve speaking skill and one of them is debate Technique. Therefore, the researcher wanted to find out whether or not debate technique can improve the students’ speaking skill and to analyze the classroom situation when debate technique is implemented in speaking class. This research used Collaborative Classroom Action Research and composed for two cycle then it practical and evaluated to categorize all facts including the success and the failure of the action. It means that the action should be stopped or continued and revised to the next cycle based on the selected criteria of success.The application of debate technique in teaching speaking at the first year of SMK Fajar Kencana was accompanied in two cycles including cycle one and cycle two. The members of this study were 29 students in class X AP. This is confirmed by students’ test score that upgraded in every cycle. In the cycle 1, the students’ got score of pre-test was 64,28. After the implementation of , the students’ speaking score were getting better.It can be seen from the result of students’avarage score cycle 1 was 67 and cycle 2 was 78.5. Debate is an appropriate technique used to improve students’ speaking skill for the students at SMK Fajar Kencana class X AP. It can be concluded that debate technique can improve students’ speaking interest and debate technique can improve speaking classroom into a better situation.
The Current Situation, Problems, and Suggestions of Film and Television Education in Primary and Middle Schools

This study investigates the current situation of the film and television education in primary and secondary schools in China.The purpose is to find out the problems existing in the current film and television education in primary and secondary schools, and give improvement measures.A questionnaire was designed in this study and teachers in 89 primary and secondary schools in Liaocheng City, Shandong Province filled in the questionnaires.A total of 355 valid questionnaires were collected.This study analyzed the survey data, and drawn a series of conclusions about the current situation of film and television education in primary and secondary schools on the basis of data analysis.Based on the results of the survey, some suggestions are given to provide reference for the development of film and television education in primary and secondary schools.
Will the use of Virtual Reality Lead to a Revolution in Marketing Communication?

Summary A contemporary consumer is a challenge for marketing specialists. The analysis of the conducted research shows that only a well-constructed marketing message, using new technologies will be a key element of effective marketing communication. There is a growing interest in the use of virtual and augmented reality on the market. The aim of the work is to analyze the possibilities of using innovative tools, based on virtual and augmented reality in marketing communication. The source basis of the study is available literature on the subject, secondary sources, own analyzes and research and studies carried out by foreign research institutes. The paper presents the results of authorial research carried out in 2018 using the CAPI method, as well as self-audit of marketing activities using VR and AR based on the SERVQUAL model. The results of the study indicate limited use of VR and AR. It should also be emphasized that these results are not representative, but point to a relationship that is worth exploring on a larger research group.
Klasifikasi Berita Bahasa Indonesia Menggunakan Mutual Information dan Support Vector Machine

News is a source of information disseminated in various types of media. In order to make it easier for news readers to obtain the desired news, the news needs to be classified. The large number of scattered news creates difficulties in classifying the news based on the topic. Therefore the author conducted a study to classify news into 12 classes (culture, economy, entertainment, law, health, life, automotive, education, politics, sports, technology, and tourism) automatically against 360 Indonesian news data. In this study several test scenarios were conducted to see the effect of stopword removal and stemming methods on data preprocessing, the effect of mutual information in selecting features, and performance of Support Vector Machine in classifying news data. The test results showed that the data using only stemming without stopword removal, using the MI selection feature and SVM classification method produced the best results of 94.24%, compared to the other methods.
BumbAR: Multimedia Authoring Through Augmented Reality

This work describes the evolution of an approach based on augmented reality for authoring multimedia presentations. The BumbAR approach is based on the NCM model and explores the use of augmented reality and real-world objects (markers) as an innovative user interface for describing the behavior and relationships between the media objects that are part of a multimedia presentation. It was evaluated through a qualitative study based on the TAM model. The qualitative study aimed at evaluating users’ attitude towards using BumbAR. The results showed that the participants found that the proposed approach is both useful and easy-to-use, but comments made by them showed the need of including new functionalities in the BumbAR tool, which are described in this paper.
Tools to support user interface design web applications - comparative analysis

Comparative analysis tools for the design of graphical user interfaces was carried out using a multi-criteria analysis. The research helped to determine the selected tools of diagnostic criteria, which were used to choose the best tool.
Immersive Analytics Sensemaking on Different Platforms

In this work we investigated sensemaking activities on different immersive platforms.We observed user s during a classification task on a very large wall-display system (experiment I) and in a modern Virtual Reality headset (experiment II).In experiment II, we also evaluated a condition with a VR headset with an extended field of view, through a sparse peripheral display.We evaluated the results across the two studies by analyzing quantitative and qualitative data, such as task completion time, number of classifications, followed strategies, and shape of clusters.The results showed differences in user behaviors between the different immersive platforms, i.e., the very large display wall and the VR headset.Even though quantitative data showed no significant differences, qualitatively, users used additional strategies on the wall-display, which hints at a deeper level of sensemaking compared to a VR Headset.The qualitative and quantitative results of the comparison between VR Headsets do not indicate that users perform differently with a VR Headset with an extended field of view.
Review of Inference Model for Environment Detection

The Internet of Things (IoTs) refers to the interconnection of billions of smart devices. The steadily increasing number of IoT devices with heterogeneous characteristics requires that future networks evolve to provide a new architecture to cope with the expected increase in data generation. The IoT paradigm has to be connected to the Cloud to increase the reach the scale at which it can be implemented. Today due to introduction of 4G the devices connected to the internet are growing rapidly which increases the scope of useful hardware connecting to internet. The IoT can be applied to many day today useful applications such as Home automation, Healthcare and Environment. But as the hardware generates a lot of data per second to the cloud, it can cause a headache to maintain and analyze such a large data on the cloud. So to solve this problem we have thought of developing a application which will analyze the data coming from the connected devices and with the help of Machine learning's Support vector Machine (SVM) algorithm we can distinguish the data in two categories harmful and safe.After recognizing the safe and unsafe environments using MQ2 and MQ7 gas sensors we are going to send only harmful data to the cloud.This will decrease the amount of data going on the cloud.We will also send an alert which will help the concerned authorities to take the steps necessary for reducing the pollution in the environment.The concerned authority can view the data on his mobile device remotely with the help of cloud.
Psycho-pedagogical support of preparation of future educator to personally-oriented education of children

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PENDETEKSI KADAR ALKOHOL DALAM TUBUH MANUSIA MELALUI HEMBUSAN NAFAS UNTUK PENGEMUDI MOBIL

Alcohol is a drink containing ethanol in it and people who are ordinary alcohol or drinks that can be intoxicating, the impact of consuming this alcohol a lot and one of them is a diversion campaign produced by the driver. From some of these questions, the idea emerged for the detection of "Detection of Alcohol Content in the Body Through Talking Breath for Car Drivers" the design of this tool is expected to be able to be earlier or be able to prevent accidents caused by motorists consuming alcohol while driving. This design is made by finding references derived from journals, books and articles, which then make a plan or drawing that is intended for design such as what will be made, design in the form of hardware that connects the input devices, processes and outputs, while the software consists of programs as system drivers. After the design is complete, the tool will be designed and analyzed. Based on the analysis carried out, the system can protect alcohol with the help of the tgs2620 sensor if the sensor detects more than 100ppm of gas it will be processed by the atmega32 microcontroller and the output released consists of an LCD which is useful as a power and ppm viewer produced by the sensor, leds and buzzer as indicator, dc motor is useful as a prototype of a car that can be run or not and isd 1820 (voice recording) consumes alcohol for the car driver.
Auditory and Visual User Interface for Optical Guidance During Stereotactic Brain Tumor Biopsies

During stereotactic brain tumor biopsies, the detection of protoporphyrin IX (PpIX) fluorescence and microvascular perfusion using laser Doppler flowmetry (LDF) with a handheld fiber optic probe allows the identification of tumor tissue while decreasing the risk of intracranial hemorrhage. Neurosurgeons performing this procedure usually view the measurement values on a screen. When their visual focus is directed at the surgical site, they require an assistant to verbally relay the values. An auditory and visual user interface (UI), which displays measurement values accurately and allows fast and intuitive signal recognition, can improve this procedure. This paper experimentally evaluates an auditory and visual UI for providing real-time measurement feedback during stereotactic brain tumor biopsies. In a user study (n = 15), the accuracy of auditory and visual response was determined using function response tests, and user acceptance was evaluated. The auditory signals proved to be intuitive and easy to recognize and remember. The visual display of measurement values was easy to understand and facilitated the user's decision-making process. Moreover, the UI exhibited high user acceptance.