Reviewerly/exHarmony huggingface dataset:
Aplikasi Pencarian Rute Terpendek Menuju Hotel di Kota Pekanbaru Menggunakan Algoritma BCO (Bee Colony Optimization) Berbasis Android

Many visitors or people who are looking for a hotel, but do not know which route to be passed towards the hotel. It happened because of a lack of information and the address of the hotel you are looking for. Main purpose of building a search application shortest route to the hotel to save time and cost in order to get to the destination. The algorithm used is to implement Bee Colony Optimization (BCO) is an algorithm for the search paths with the lowest range of the search. Another advantage in the use of BCO concepts and implementation easy, few parameters, it is very simple, flexible and also generated near optimum solutions. Based on questionnaires given to 30 respondents, 93,75% strongly satisfaction agreed with the application built. This application android helps visitors to find the shortest route that must be passed by applying BCO algorithm and google maps in its implementation
Guides: Welcome to the Educational and Instructional Technology Research Guide: Home

This research guides is a supplementary resource to the Educational and Instructional Technology Masters and PHD Program at Texas Tech University.
A critical review of the use of spikes in agile software development

Spikes can be an essential component in the agile development cycle since they assist teams in both technical and functional issues in order to obtain the information required to reduce technical risk, understand requirements or enhance the accuracy of a story estimate. Spike is a time-boxed activity to explore and investigate a significant uncertainty and various technical approaches in order to obtain a demonstrable and estimable user story. This paper reviews the uses of spikes through findings in different software development domains to showcase the implementation of spikes in agile software development and their impact on the understanding, consistency, and reliability of the story estimate. The paper provides a critical review of the use of spikes in various software projects and it concludes that limited studies have been conducted on the use of spikes in different software development domains.
A Novel Fuzzy Bat Based Ambulance Detection and Traffic Counting Approach

In the recent years the importance of automatic traffic control has increased due to the traffic jams problem especially in big cities for signal control and efficient traffic management. The input video is processed and analyzed to detect an ambulance vehicle. This article introduces a robust approach for ambulance detection and traffic counting approach using novel fuzzy Bat swarm optimization and different image processing techniques. The fuzzy Bat based optimization algorithm is used to generate a template of ambulance from the abstracted frames obtained from predefined ambulance samples. This is done by using a collection of Gabor filters that have been particularly customized for the ambulance detection problem in which filter selection is achieved to group filters that have similar characteristics. The fitness criterion based on Support Vector Machine (SVM) is used to evaluate the output filters. The proposed approach is composed of the following five fundamental building phases: Fuzzy Bat based optimization, image acquisition, object detection, counting the connected objects, and finally ambulance detection. One of the main advantages of the proposed approach is that key Gabor filters is obtained from the selected features (filters with highest membership values) which have a vital role in the ambulance detection phase. Experimental results show that the overall accuracy confirms that the performance of the proposed approach is high.&#x0D;
La dirección del proceso de enseñanza-aprendizaje virtual universitario durante la pandemia de COVID-19

Introduction: teaching and learning process is in a constant concern by teachers and students. This aspect is still a need to be approach with from different theoretical-methodological positions, especially in view of what happened in the world due to COVID-19 pandemic, a crisis that also had a direct impact on professors, schools and students. Objective: to offer a methodological suggestions system, which facilitate from a physiological, hygienic, pedagogical and didactic point of view, the management of the teaching-learning process in higher education. Method: theoretical systematization and pedagogic experience were used as research methods, and different scientific literature and experiences on the subject were analyzed in order to assume a position that will allow us to continue developing the training process. Results: the main outcomes obtained from both methods were founded in the theoretical and methodological order, both related to the management of the teaching-learning process, taking into consideration the pedagogic experiences developed at the universities from Sonora and Universidad de Guantanamo during this period of pandemic. Conclusions: in the current conditions due to the pandemic, the professor does not give up his management position, but does it from the prevailing conditions of virtuality. The aim is to achieve a cognitively self-sufficient student who can overcome the system of objectives, content, skills and values that his or her career demands from the virtual classroom.
Alternative Pathways to UX Leadership

User Experience (UX) is a superpower, and as such, one final type of UX leadership makes the leaders into a superhero who wields that power to help society. So beyond the alternative UX leadership approaches that the leaders can use to help other UX practitioners. Ultimately, however leaders realize our UX-for-good superpowers, whether at work or outside of work, consider putting ourself in a position in which the leaders feel like our UX skills are helping people in some way and that they are making a difference to others. As the employees progress in our career, they can decide whether managing projects, product development efforts, or people might be a good pathway for the leaders. If it fits with our abilities and inclination, then by all means, consider moving into this kind of workplace leadership.
Personalized Recommendation Algorithm Based on Deep Neural Network and Weighted Implicit Feedback

In singular value decomposition++(SVD++),inner product of user and item feature vector is regarded as user′s rating of items.However,inner product cannot capture the high-order nonlinear relationship between the user and the item.In addition,the contribution of different interactive items cannot be distinguished when user′s implicit feedback is incorporated in SVD++.A recommendation algorithm based on deep neural network and weighted implicit feedback is proposed to solve the two problems.Deep neural network is adopted to model the relationship between the user and the object and attention mechanism is utilized to calculate the weight of historical interactive items in modeling user′s implicit feedback.Experiments on public datasets verify the effectiveness of the proposed algorithm.
SISTEM AKUNTANSI PENGGAJIAN APARATUR SIPIL NEGARA PADA DINAS PERHUBUNGAN KABUPATEN POLEWALI MANDAR

This research aims to find out the payroll accounting system at the Transportation Office of Polewali Mandar District. Data collection techniques used were observation, interview, documentation, and literature study. The data analysis technique was qualitative. The results of this research indicate that the payroll accounting system at Transportation Office of Polewali Mandar District was not in accordance with the existing payroll accounting system because it still used manual attendance list. The researcher considers that the function of the payroll list maker must be separated from the financial function so that there is no error in verifying the salary list of employees so as to avoid things that are not wanted at the Transportation Office of Polewali Mandar District.
Latvian Treebank v2.8

Latvian Treebank (LVTB) is in development since 2010. Corpus is annotated manually according to SemTi-Kamols hybrid dependency-constituency grammar model. This version of the treebank contains data used for deriving LVTB version 2.8.
Deep Learning Techniques for Artistic Image Transformations: A Survey

Deep learning has greatly revolutionized the ways in which computers tackle problems in vision, speech recognition, machine translation, etc., and has produced results which are almost inconceivable to conventional algorithms. Creative tasks such as fine arts and music composition, which were initially thought to be impossible to computers, are now possible. In this paper, we look at a particular class of problems called image-to-image translation problems and see how it can be leveraged to perform artistic image transformations. Generative Adversarial Networks (GANs) and related neural networks are particularly useful for this task. We explore some of the artistic image transformation tasks that deep learning can be used for and discuss the different machine learning architectures used, the results produced and the advancements made in literature towards tackling such tasks.
Research on Computer Information Processing Technology Based on the Background of Big Data Era

The development of economy and society has created a good external environment for the renewal and development of information technology. Under the background of big data era, the application of computer information processing technology is increasingly closely related to people’s daily life and work. However, in the application process of related technologies, due to the influence of human unreasonable operation and other factors, some information security risks will also be generated. Strengthening the prevention of related security risks is related to the application of related technologies. Therefore, it is necessary to analyze the characteristics of computer processing technology. Based on the background of big data era, this paper takes computer information processing technology as the starting point.
Identification and control of smooth fuzzy systems

During the years, we are witnessing a rapid change in the modeling and control of complex processes, which has necessitated employment of the approximate reasoning capacities of humans in the model identification and closed loop control of the uncertain and imprecision systems. One of the manifest of such intelligent schemes of modeling and control is the utilization of fuzzy logic based schemes, which has been facilitated the employment of computational capacities of the hardware. Although the intelligent methods could empower the designers to reach high speed of computation and safe process control strategies, they are not perfect and bring the imperfections. They made the closed loop behavior of the system not to be continuous neither smooth due to the application of min-max composition in the fuzzy structure. This thesis discusses on the alternative method of fuzzy modelling and control for the nonlinear processes, utilizing the smooth compositions. We introduce the modeling capacity of the smooth fuzzy models and then expand the formulation for the adaptive identification methods for the processes with the objective of incorporation to the model based predictive control schemes. The smooth fuzzy compositions construct an overall nonlinear smooth and continuous model of the system. Hence, in the optimization based manipulations and control algorithms the model will require fewer computations in optimization phase rather than the classical fuzzy min-max based modeling scheme. It also provides an improvement in modeling accuracy and would be attractive for application to the systems with hybrid and switched dynamics with the limited number of discontinuity to obtain a continuous fuzzy model. The smoothness property has also impacted the closed loop behavior of the system largely. Although, the combination of the iterative identification and model predictive control of the nonlinear processes have been directed many works in the academia and industry during the years; however, the smooth fuzzy structure will facilitate the employment of the experimental information of the system to closed loop structure with the minimum level of variations. To guarantee the stability of the scheme, we have considered the possibility of reaching the control horizon beyond the specific level to drag the system states inside the basin of attraction. Moreover, due to the smoothness of the scheme, the convergence of the results in face of uncertainties and disturbances will be faster, in comparison to the counterpart classical fuzzy schemes. It also can be easily tuned for the non-minimum phase and open loop unstable processes. The performance of the theoretical studies has been examined using several simulations to demonstrate the outperform of the proposed schemes to the traditional fuzzy structures.
Sistem Kekerabatan dalam Budaya Minangkabau pada Antologi Cerpen Karya A.A Navis dan Implikasinya Terhadap Pembelajaran Apresiasi Sastra di SMA

Abstract The aim of this research was to characterize the cultural values of Minangkabau in A Complete Anthology of the Short Stories of A.A. Navis and the implications of the research on the literature teaching at the Senior High School. This was a qualitative research focusing on content analysis. The contents analyzed related to the Minangkabau kinship system and social community. The descriptive method was used in this research. The object of the research was A.A. Navis's Comprehensive Short Stories Anthology. Based on the results of the research, the cultural values of Minangkabau have been revealed throughout the A.A Navis' Complete Anthology of Short Stories. Navis viewed as follows: (1) the relationship between mother and children, (2) the relationship between father and children, (3) the relationship between uncle and his nieces and nephews, (4) the relationship between children in law and parents in law, (5) the marriage in Minangkabau. The implication of this research in the reading class was: (1) expressing interesting things in the short story of thoughtdiscussion; (2) expressing cultural values in the short story of thought-discussion. Abstrak Penelitian ini bertujuan untuk mengkarakterisasi nilai-nilai budaya Minangkabau dalam Antologi Lengkap Cerpen A.A. Navis dan implikasi penelitian terhadap pembelajaran sastra di SMA. Ini adalah penelitian kualitatif yang berfokus pada analisis isi. Isi yang dianalisis terkait dengan sistem kekerabatan dan sosial kemasyarakatan Minangkabau. Metode deskriptif digunakan dalam penelitian ini. Objek penelitian adalah A.A. Antologi Cerita Pendek Komprehensif Navis. Berdasarkan hasil penelitian, nilai-nilai budaya Minangkabau yang terungkap dalam Antologi Cerpen Lengkap A.A Navis. Navis adalah sebagai berikut: (1) hubungan ibu dan anak, (2) hubungan ayah dan anak, (3) hubungan paman dan keponakan, (4) hubungan menantu dan orang tua dalam hukum, (5) perkawinan di Minangkabau. Implikasi dari penelitian ini di kelas membaca adalah: (1) mengungkapkan hal-hal yang menarik dalam cerpen diskusi pemikiran; (2) mengungkapkan nilai-nilai budaya dalam cerpen diskusi pemikiran.
Human Pose Estimation Based on Multi-resolution Feature Parallel Network for Public Security

Smoking detection is an essential part of safety production management. With the wide application of artificial intelligence technology in all kinds of behavior monitoring applications, the technology of real-time monitoring smoking behavior in production areas based on video is essential. In order to carry out smoking detection, it is necessary to analyze the position of key points and posture of the human body in the input image. Due to the diversity of human pose and the complex background in general scene, the accuracy of human pose estimation is not high. To predict accurate human posture information in complex backgrounds, a deep learning network is needed to obtain the feature information of different scales in the input image. The human pose estimation method based on multi-resolution feature parallel network has two parts. The first is to reduce the loss of semantic information by hole convolution and deconvolution in the part of multi-scale feature fusion. The second is to connect different resolution feature maps in the output part to generate the high-quality heat map. To solve the problem of feature loss of previous serial models, more accurate human pose estimation data can be obtained. Experiments show that the accuracy of the proposed method on the coco test set is significantly higher than that of other advanced methods. Accurate human posture estimation results can be better applied to the field of smoking detection, and the smoking behavior can be detected by artificial intelligence, and the alarm will be automatically triggered when the smoking behavior is found.
Building some practice contents organizing Mathematic experience activities for students of elementary education sector at pedagogical school

Practical and experiential activities are one of the contents throughout the current general math curriculum in general, and the elementary school math program in particular. Pedagogical schools need to prepare potential primary school teachers to fulfill the requirements of organizing mathematical experiential activities in the training process. In which, it is necessary to identify and develop practical contents of organizing mathematical experiential activities to ensure the theory of experiential activities, to ensure compliance with the requirements of mathematics education in primary schools in order to orient proper training and improvement in students' ability to organize mathematical experiential activities
A statistical model of syntactic and nonsyntactic factors affecting relative clause placement in Hindi

Hindi is an SOV language that allows scrambling and has null arguments. Finite relative clauses can occupy three different positions: at the left edge of the main clause (left peripheral), at the right edge of the main clause (right peripheral), and immediately after the nominal head they modify (adnominal). The present study applies quantitative methods to a corpus of 2,000 sentences to investigate whether syntactic locality, grammatical weight, linear distance, and information structure affect the position of the relative clause at the left and right peripheries. A Multinomial Logistic Regression was selected as the prediction model. The predictability of the model was tested by means of a Confusion matrix or Error matrix.
DESIGN & DEVELOPMENT WITH WEB OF MANAGEMENT SYSTEM INFORMATION DEWAN KEMAKMURAN MASJID JAMI AL – MUHAJIRIN, TANGERANG

Jami' Al - Muhajirin Mosque is one of the large mosques located in the Tangerang Elok Villa housing estate, Kutajaya Village, Pasar Kemis District. Activities carried out in this mosque are not only religious activities but also social activities. In managing the secretariat administration and finances, mosque administrators still experience difficulties such as the process of recording, searching and making reports that are still semi-computerized, while the process is considered less effective and efficient. And for the congregation of the mosque if they want to need information about the mosque, they must come to the mosque and see directly the information board in the mosque. There needs to be innovation by applying technology in the mosque management system internally to make it easier to manage mosque management. The type of research used in this study is a case study (Case Study Research) with a qualitative method while in developing and making this application using the waterfall method. The blue print of the system design is visualized using the Unified Modeling Language with use case diagrams and system testing is carried out by the admin and chairman of the Mosque's DKM on the functional system. This web-based management information system provides convenience for administrators in managing mosque and congregation management data in finding information related to Al-Muhajirin mosque data. Keywords: Information Systems, Mosque Prosperity Council Management, Waterfall, Web
Chapter 1. Voice Revolution

Voice technology has transformed the way we interact with the digital world. Voice assistants have become an integral and intimate part of our daily life. In chapter 1 of Library Technology Reports (vol. 56, no. 4), “Virtual Voice Assistants,” we review the development of voice-enabled technology and conversational user interfaces, compare the performance of voice assistant products, and highlight the key speech technologies employed by voice assistants.
Effects of Self-efficacy on Non-face-to-face Online Classes in Some Dental Hygiene Students

Objectives: The purpose of the study was to find out the effects of Corona-induced dental hygiene students self-efficacy on online classes on non-face-to-face online learning, online lecture satisfaction, online discomfort. Methods: Independent t-test, correlation, and multiple regression analyses were conducted to explore the relevance of self-efficacy and non-face-to-face online learning. Results: It has been shown that non-face-to-face online lecture satisfaction, self-regulation, and preference for task difficulty affect participation in non-face-to-face online learning. Conclusions: In order to increase participation in non-face-to-face online learning, learning methods that can increase self-efficacy will need to be developed.
Proses Pembuatan preform dengan material bahan polyethylene terephtalate menggunakan mesin injection molding

Preform is a semi-finished material from a gallon product that is shaped like a chemical test tube, where the preform is made of polyethylene terephthalate (PET) material with the manufacturing process using an injection molding machine. Injection molding is a method of forming a thermoplastic material in which the material that melts due to heating is injected by a plunger into a mold that is cooled by water so that it hardens. In an injection molding machine, there is a screw base connected to the piston in a cylinder. This pressure is needed to inject the plastic material into the mold. To produce a good preform, you must check the preform injection molding machine and set its parameters. The combination of injection molding machine parameters, namely injection temperature 275-290⁰C, cavity filing time 70 seconds, clamping pressure 175 bar, coling time 50 seconds, holding time 2 minutes, and screw tip pressure pushing the material is 972.63 x pa.
P2P Payment using Blockchain Technology

A Blockchain protocol operates on top of the Internet, on a P2P network of computers that all run the protocol and hold an identical copy of the ledger of transactions, enabling P2P value transactions without a middleman though machine consensus. The concept of Blockchain first came to fame in October 2008, as part of a proposal for Bitcoin, with the aim to create P2P money without banks. Bitcoin introduced a novel solution to the age-old human problem of trust. The underlying blockchain technology allows us to trust the outputs of the system without trusting any actor within it. People and institutions who do not know or trust each other, reside in different countries, are subject to different jurisdictions, and who have no legally binding agreements with each other, can now interact over the Internet without the need for trusted third parties like banks, Internet platforms, or other types of clearing institutions. Ideas around cryptographically secured P2P networks have been discussed in the academic environment in different evolutionary stages, mostly in theoretical papers, since the 1980s. “Proof-of-Work” is the consensus mechanism that enables distributed control over the ledger. It is based on a combination of economic incentives and cryptography. Blockchain is a shared, trusted, public ledger of transactions, that everyone can inspect but which no single user controls. It is a distributed database that maintains a continuously growing list of transaction data records, cryptographically secured from tampering and revision.