Reviewerly/exHarmony huggingface dataset:
Sublinear Algorithms for Edit Distance (Invited Talk)

The edit distance is a way of quantifying how similar two strings are to one another by counting the minimum number of character insertions, deletions, and substitutions required to transform one string into the other. A simple dynamic programming computes the edit distance between two strings of length n in O(n²) time, and a more sophisticated algorithm runs in time O(n+t²) where t is the distance (Landau, Myers and Schmidt, SICOMP 1998). In pursuit of obtaining faster running time, the last couple of decades have seen a flurry of research on approximating edit distance, including polylogarithmic approximation in near-linear time (Andoni, Krauthgamer and Onak, FOCS 2010), and a constant-factor approximation in subquadratic time (Chakrabarty, Das, Goldenberg, Koucký and Saks, FOCS 2018). In this talk, we will discuss recent progress that goes beyond linear time, and studies sublinear time algorithms for edit distance. We will also discuss the role preprocessing might play in designing fast algorithms.This is a joint work with Elazar Goldenberg, Tomasz Kociumaka, Robert Krauthgamer, and Aviad Rubinstein.
Product-form monogamy relations of entanglement in multiqubit systems

Monogamy relations of entanglement play an important role in quantum systems, however, most of them are given in summation form. In this paper, we investigate the product-form monogamy relations of multipartite entanglement in terms of the [Formula: see text]th power of concurrence and negativity. Compared with the existing monogamy relations, the product-form monogamy relations of multi-body quantum entanglement have a stricter lower bound.
Prototype of Security System for Computing Department

The project purpose is the enhancing the security in computing department Universiti Selangor (Unisel) Bestari Jaya by installing security system of Internet provider (IP) camera.The system can make the computing department on safe hand.This system will be control by the security officer.If the camera detect any movement and it will recorded the area using the camera during odd hour or midnight and store the file into the file repository.The system can only be access by the head of the security officer to get the file if there is any issues arise because of the admin is the head of security officer.This system also will ease the security officer on their daily working hour.The method that has been use to develop this project is Rational Unified Process (RUP).It is the best methodology for developing a system.From analysing the system within the project scope and identify all the entities to design and program the system until finalise and make a beta testing before the system done perfectly.In addition, data collection method had been done by interviewing the head of security officer and the questionnaire to the staff and student in the computing department.As the result of the data collection, many respondent want the system security been install in the computing department and the process of report continue to develop to the next chapter.Finally, the developer design from system design to create an activity design, use case design and sequence design.The database design to figure out each entities that been use in the system.The last design is interface design for completing the system.It must be user friendly for the security officer easy handle the system for their daily working routine.
Build Your First Azure Function

You can create a function for Azure Functions using a wide variety of options. If you are comfortable with command-line interfaces, then you can use Azure PowerShell or the Azure command-line interface (CLI). You can use an integrated development environment (IDE) or a code editor like Visual Studio IDE or Visual Studio Code. You can also use the Azure portal to create a function.
NETWORK INTRUSION DETECTION USING REGISTER TAG DISABLE FUNCTION SECURITY MODEL (RTDFSM) APPROACH

To determine a framework model which describes the registration purpose, assigning Tag-IDs and Disable functional mode thereby providing scalability issues that is specified as a novel approach for intrusion avoidance in the social networks. This research work suggests a model framework namely Register Tag Disable Function Security Model (RTDFSM), which provides “Data sharing” as the first motive to support the network technologies and provides “Data Security” that supports data sharing along with security benefits by assigning tag identification numbers (tag-ids), and Disable function process in order to detect the intrusions by fixing the data size and its time series to share process. A recent survey depicts that Facebook has at least 1.71 billion active users per month. In addition the survey has estimated that 400 million photos per day are being uploaded. The reason behind is the users adaptive behaviour of sharing. The security parameters are fixed and this model has achieved 70% level scalability in case of data storage and the time series maintenance processes when compared to other network security algorithms. The time series is analysed with the suitable ‘disable function’ say ‘Df’ when all the assigned tag and data is enabled for ‘protected download’ option. The increase in number of the function grows to a considerable percentage ranging from 10%, 20% upto 58% at the later stage. Computer networks are the fundamental platform for online transactions and sharing of information worldwide. Without Social Networks (SNs) such as Facebook, Twitter or Instagram, the real internet applications seem to be considered idle only for data processing and not for data sharing. The research work is a novel model named as “Register Tag Disable Function Security Model (RTDFSM)” that will enable user authenticity for every data sharing process in the network communication either in wired or in wireless media.
Lionsgate considers spinning off Starz as separate company

The company has been under pressure amid stiff competition in the media industry and the rise of new streaming rivals.
SISTEM PENDUKUNG KEPUTUSAN DALAM PEMILIHAN HOTEL DI TANGERANG MENGGUNAKAN METODE AHP DAN TOPSIS

Banten Province has a city, namely Tangerang, to be precise in the northern part of Banten City. There are many tourist attractions that we can visit in the city of Tangerang, such as natural scenery, historical places, natural scenery, photo spots and culinary tours. With various tourist attractions in the city of Tangerang, it attracts tourists who want to travel to these places. With so many interested tourists visiting the city of Tangerang, the existing hotel is one of the destinations for tourists who are visited for a place to stay and rest. This has had an impact on the increasing number of hotels in the area, which has led to an increasing variety of choices for tourists. To make it easier for tourists to choose a hotel according to their needs, a decision support system is needed in choosing a hotel to use for a place to stay and rest. Tourists can choose hotels according to their desired needs by using a decision support system with various criteria. The decision support system applies the initial criteria weighting by using the AHP method and hotel alternative ranking using the TOPSIS method. The system has been tested and implemented by distributing questionnaires to 30 respondents using the USE Questionnaire and applying the Sala Likert Method to perform the questionnaire calculations, and the final result obtained in the calculation of the questionnaire is 84.51%.
An Efficient And High Performance Architecture Design And Implementation Approach Of Cryptographic Algorithm Computation For Authentication In Modern Wireless Communication Applications

According to the general reflections in the former section, the following goals are for this proposed work. The aim of the proposed work is implementation of the hardware architecture for L.M. Montgomery Modular Multiplication Algorithmic and proposes a mountable systolic architecture which is operative for large bit-lengths and it is appropriate for equally regularly used categories of open Key Cryptography (PKC) i.e. ECC and RSA Crypt-systems. The open key algorithms such as RSA ,Diffed-Hellman key exchange and Elliptical curve cryptography make use of high end computational operations like exponentiation  which can be computed by using fast implementation of Montgomery modular exponentiation method. Here developing the Montgomery modular multiplication technique is aimed. The main aim of this procedure is to reduce the requirement of area and time because the less area x time factor is very useful for realizing in to hardware for real time applications.
Considering Well-Being of Pupils In Schools, A Guide to Fulfilling Children’ Education and Work Life: A Summary Analysis of John White Book

This article reports the results of a study whose purpose was to analyze the “Well-being of pupils in schools: A guide to fulfilling children’ education and work life” by evaluating the most popular aims of education and determine how pupils can reconcile all the acquired theories in their practical life in order to make the world flourishing on any scale. A better schools’ education activities can guide the choice of development. For many years, Professor John White has been concerned about these following questions. It is uncontroversial to say that a basic aim of education is to prepare young people for adult life, but what kinds of adult lives do we want schools to prepare children for? What sort of society do we want to create for the future? What, in short, are schools for? Furthermore, John White offers a provocative characterization of philosophy of education. The qualitative approach have been used for data collection and desk review method. The results showed that John White, in this brief reaction as mentioned above, has put attention, not only on the characterization and the maintenance of a strong connection between philosophy of education and philosophy, but also on pupils’ well-being and their future in the society work life. Key words: philosophy, education, philosophy of education, well-being, future work life .
Implementasi Kebijakan E-Learning dalam Meningkatkan Kualitas Pendidikan di Kota Surabaya

In accordance with the enactment of Law Number 20 of 2003 concerning the National education system in article 31 that distance education functions to provide educational services to groups of people who cannot attend face-to-face or regular education. With the development of existing technology at the moment, the Surabaya City Education Agency is innovating a policy in improving the quality of education in Surabaya. The policy innovation is an E-learning policy in the field of education. This e-learning policy has been formulated by the Surabaya City Education Office, and has been implemented at Junior High Schools in Surabaya. This study aims to describe the implementation of E-learning policies in improving the quality of education in Surabaya. This research uses descriptive qualitative research methods using observation techniques, in-depth interviews and relevant documents. From the results of this study note that the implementation of the E-learning policy is in accordance with the interests that influence the policy namely increasing academic and non-academic achievements in junior high schools in the city of Surabaya. The results of this study are connected with the theory of Merilee S Grindle which has 2 indicators, namel y the contents of the policy and the policy environment. Keyword : Policy Implementation, E-learning.
The Effect of Brill Tagger on The Classification Results of Sentiment Analysis Using Multinomial Naïve Bayes Algorithm

Twitter is a good indicator for influence in research, the problem thatarises in research in the field of sentiment analysis is the large numberof factors such as the use of informal or colloquial language and otherfactors that can affect the results of sentiment classification. Toimprove the results of sentiment classification, an informationextraction process can be carried out. One part of the informationextraction feature is a part of speech tagging, which is the giving ofword classes automatically. The results of part of speech tagging areused for weighting words based on part of speech. This studyexamines the effect of Part of Speech Tagging with the method BrillTagger in sentiment analysis using the Naive Bayes Multinomialalgorithm. Testing were carried out on 500 twitter tweet texts andobtained the results of the sentiment classification with implementingpart of speech tagging precision by 73,2%, recall by 63,2%, f-measureby 67,6%, accuracy by 60,7% and without implementing part ofspeech tagging precision by 65,2%, recall by 60,6%, f-measure by62,4% accuracy by 53,3%. From the results of the accuracy obtained,it shows that the application of part of speech tagging in sentimentanalysis using the Multinomial Naïve Bayes algorithm has an effectwith an increase in classification performance.
A Survey of Different Opinion Mining Methods

The paper focuses on the utilization of sentiment analysis techniques in various application domains and presents the major part of the work done in the field of sentiment mining or opinion mining using the techniques and tools of sentiment analysis. The paper gives a brief idea regarding the comparison of the techniques and the importance of the dataset in acquiring the desired outcomes.
ATM Management System

The various types of programs require the trust of each program to authorize or determine the identity of the person seeking its services. The purpose of this program is to ensure that the services provided are only available to the user personally and not to anyone else. If there are no solid personal recognition schemes, these programs are at risk of being deceived by a fraudster. ATMs have suffered a lot in recent years due to PIN theft and other ATM frauds due to authentication (PIN) mode. In this paper, we have proposed a multifactor certificate (PIN and Fingerprint) that strengthens the safety and security of ATMs and their users. The proposed plan shows the formation of three levels. The first phase is the verification phase, which focuses on the registration phase, the development phase, the removal of features and fingerprint matching. The second stage is the end of the data that serves as a repository for all ATM users registered as indicators and PIN as text. The final section describes the platform for discussing banking transactions such as balance questions, small statements and withdrawals. Microsoft windows 8 has been used as a startup application platform, with advanced C # programming language and 2010 SQL server as a backend. The application test was based on the False Rejection Rate (FAR), False Acceptance Rate (FAR), Medium Term Matching (AMT) and Total Error Rate (TER) performed, indicating the safety and reliability of the verification and authentication system of the proposed ATM user
Automatic topic detection on Chinese essays: a technology enhanced approach to facilitating formative use of summative assessment

Essay writing is an important form of assessment. It is typically used as summative assessment and may not have some of the major benefits of formative assessment. Although there are considerations of formative use of summative assessment, such use remains limited in practice. It is because of the difficulty in presenting the results and the large amount of effort required. In this paper, we propose to use an automatic topic detection method, named hierarchical latent tree analysis, for analysing students' essays. The method can identify topics in the essays and organise those topics in a hierarchy with multiple levels of granularity. It can possibly facilitate formative use of summative assessment by addressing the main reasons prohibiting such use. We present the empirical results of the method using the 54 Chinese essays written by students in an undergraduate course. We further discuss and demonstrate how the method can facilitate formative use of the essays.
Research on the Hyperparameter Optimization Method of Mask RCNN Based on DARTs

When dealing with specific target detection tasks, the target detection algorithms based on deep learning are often due to the lack of training samples or expert experience, resulting in the training and verification of the network requires a lot of computing resources, and cannot achieve better detection performance. This paper proposes a hyperparameter optimization method and training method of Mask RCNN Based on DARTs. Experiments show that,this method can optimize the model with only a small number of training samples and without expert experience, and improve the accuracy of the model by 4.83% when IoU is 0.75.
ECO Smart Result Checker

We created a mobile app that can manage the result of students effectively in a paperless environment. This product is a green product that programmed online to assist the students and educators in result management. This mobile app makes the result checking task become more systematic and easier via integrated technology and promotes a paperless and ECO-friendly education industry. The traditional way of displaying the students’ result is a printed paper containing assessment results of all students. Assessment results are something private and confidential. Most often, the student may feel awkward if his or her result is shown publicly. The printed paper is usually displayed on the notice board outside of the lecturer's office. Students need to present personally at the lecturer’s office to check the result. Most of the time, although lecturers would hide the students’ name on the name list and replace with student identification number when the results are posted, students are still able to see and get to know each other’s results. The private and confidential of the students’ result are not protected. To secure the students’ results privately and confidentially, a mobile app was invented to enable the students to assess their individual assessment results online at anytime and anywhere. It is energy and time saving, students can check their results through this mobile app without present physically to the lecturer’s office.
Impact of the information and communication technologies (ICT) in the university professor. The case of the University of Guadalajara.

In order to know use of ICT in university teaching functions, a closed-question survey toa sample of 346 full-time faculty of the University of Guadalajara, Mexico, was applied in2011. 8 research-related activities, 14 teaching-related activities and 5 outreach activitieswere analyzed. This study was developed with two research hypothesis, and the informationwas processed with SPSS v.18, with a Chi Square test for the first hypothesis, and a t-testof mean difference for the second hypothesis. The results obtained indicate that there is adirect relationship between the frequency and proficiency in the use of ICT by teachers, butthe difference between the intensity of use in research activities related to the teaching andextension is not significant
PENYULUHAN DAN SIMULASI BANTUAN HIDUP DASAR (BHD) PADA REMAJA DI SMAN 1 WATANSOPPENG

ABSTRACT&#x0D; Emergency events usually take place quickly and suddenly so that it is difficult to predict when they will occur. Emergency is a life-threatening condition that requires quick help, precisely and accurately and accurately. Victims of cardiac arrest can be up to when doing worship activities, such as recitation, listening to lectures, or even in other places of worship. Help must be done immediately to prevent more severe brain damage. The design of this community service activity is the socialization and simulation of BHD actions for unconscious victims due to cardiac arrest. The participants were new students at Senior High School 1 Watansoppeng , amounting to 300 people. The participants were very enthusiastic and took turns trying to simulate each other. Not only enthusiastic in the simulation, participants also continued to actively ask. Some testimonies from participants that this simulation is very useful, because not only general science they always learn, but also world knowledge about health which will be useful for others&#x0D; Keywords : BHD, henti jantung, penyuluhan, simulasi
Towards a phylogenetic measure to quantify HIV incidence

One of the cornerstones in combating the HIV pandemic is being able to assess the current state and evolution of local HIV epidemics. This remains a complex problem, as many HIV infected individuals remain unaware of their infection status, leading to parts of HIV epidemics being undiagnosed and under-reported. To that end, we firstly present a method to learn epidemiological parameters from phylogenetic trees, using approximate Bayesian computation (ABC). The epidemiological parameters learned as a result of applying ABC are subsequently used in epidemiological models that aim to simulate a specific epidemic. Secondly, we continue by describing the development of a tree statistic, rooted in coalescent theory, which we use to relate epidemiological parameters to a phylogenetic tree, by using the simulated epidemics. We show that the presented tree statistic enables differentiation of epidemiological parameters, while only relying on phylogenetic trees, thus enabling the construction of new methods to ascertain the epidemiological state of an HIV epidemic. By using genetic data to infer epidemic sizes, we expect to enhance understanding of the portions of the infected population in which diagnosis rates are low.
Online Restaurant Reservation Application In The Region Of Sidoarjo Based On Android

In sidoarjo area today is very much popping up restaurant business from large to small scale with various types of restaurants. Including restaurant sawung rasa and serba sambal that often apply reservations to the restaurant. With the number of customers making reservations, especially during the fasting month of course restaurants often experience overwhelmed and customers also often experience reservation rejections when visiting the restaurant because the restaurant is full of reservations. So it is necessary to have an online restaurant reservation application by utilizing technology into the process of reservation activities to provide new innovations. The design of this restaurant's online reservation application uses waterfall method. By implementing the results of the study using java programming language and firebase database as data storage. Therefore, the online reservation application of restaurants, especially sidoarjo area customers can easily and quickly make reservations with the value obtained from testing functionality on all features shows a percentage of 100% and by applying a likert scale poll for UAT results get a result of 84%.