Reviewerly/exHarmony huggingface dataset:
EFEKTIFITAS PENGEMBANGAN STRATEGI PENGELOLAAN SUROBOYO BUS

This study aims to identify and describe the development of an effective Suroboyo Bus management strategy. This research uses a qualitative approach. Data collection is done by interviews, documentation, and questionnaires. Informants in this study were the public as Suroboyo Bus passengers, the Head of Operations Manager at Suroboyo Bus in Surabaya Transportation Department and the Head of Trash Management on Suroboyo Bus in the Surabaya City Green Cleaning and Open Space Office, and the Suroboyo Bus Organizer. Data analysis techniques using SWOT. The results in this study indicate that there are weaknesses and threats that can be overcome by using the strengths and opportunities that Suroboyo Bus has to develop. In this case, future strategies based on digital technology are formulated by implementing Excellent Public Service based on Digital Technology. In implementing the strategy, the focus is more on the use of digital technology to provide satisfying services to Suroboyo Bus users.
SCIENTIFIC AND EDUCATIONAL CLUSTERS IN THE INNOVATIVE DEVELOPMENT SYSTEM OF THE REGION IN THE CONDITIONS OF INDUSTRY 4.0

The purpose of the article is a socio-philosophical analysis of the formation and further development of scientific and educational clusters in Russian regions, taking into account the prospects for further globalization of the domestic economy and society based on the leading trends of the fourth industrial revolution (Industry 4.0). In this regard, the features of digitalization of science and education were identified in the context of the institutional and structural barriers of the Russian economy, which significantly hinder the formation of regional scientific and educational clusters. The authors of the article draw attention to the high role of the state in the planning and implementation of innovative projects, but at the same time note the weak investment activity of private companies in the field of scientific research. Nevertheless, the authors make a conclusion about the high innovative potential of scientific and educational clusters as subjects of regional modernization. At the same time, it is noted that the formation of the clusters under consideration is associated not only with a favorable geographical location and regional potential, but also with the historical heritage, accumulated social and cultural capital of specific “cluster-formingˮ universities.
Clarity: The First Pillar of Code Quality

In this chapter (and the next two), you will encounter some theoretical concepts about a specific area of code quality, and then see the practical benefit of following that theory based upon a large number of real-world examples.
The Decision Support System for Product Purchasing

In the development of the technology, the variety of notebook has become diverse. It can be differed by its rice, model, type, and functionality, such as weight, screen size, processor, hard disk, memory (RAM), and graphic card. All of that diversity has become the consideration by the one who looking for a notebook. There has a problem where the buyer is so confused in deciding which notebook that is suitable with their needs. Decision support system is considered as one of the solutions to handle that kind of problem. Fuzzy Tahani Algorithm that uses the relative and qualitative natural language as the user input criteria is believed to be able to help the notebook buyer in making the decision. The result is shown that the decision support system for purchasing multi criteria product such as notebook, based on the user input criteria with the Fuzzy Tahani algorithm, is able to help the user to get the alternative product that can be recommended to them.
A Transition-based Parser for Unscoped Episodic Logical Forms

"Episodic Logic:Unscoped Logical Form" (EL-ULF) is a semantic representation capturing predicate-argument structure as well as more challenging aspects of language within the Episodic Logic formalism. We present the first learned approach for parsing sentences into ULFs, using a growing set of annotated examples. The results provide a strong baseline for future improvement. Our method learns a sequence-to-sequence model for predicting the transition action sequence within a modified cache transition system. We evaluate the efficacy of type grammar-based constraints, a word-to-symbol lexicon, and transition system state features in this task. Our system is available at https://github.com/genelkim/ulf-transition-parser We also present the first official annotated ULF dataset at https://www.cs.rochester.edu/u/gkim21/ulf/resources/.
4F.001 Traffic accidents: technology that rebuilds the past to save the future

<h3></h3> The accident, despite its brevity, is a dynamic process that takes place in space and time at certain points or areas and moments where events occur. The union between a point and a point takes its name from the position and involves a phase of the accident. Knowing its evolution allows investigating the applicable improvements to avoid the same errors in future cases or circumstances. The powerful and practical solution to investigate and reconstruct traffic accidents or crime scenes, which give us the keys to avoiding them in the future, is the union of Trimble’s hardware and software solution. With the Trimble Forensics SX10 solution, forensic teams only have to pick up the instrument and work, spending less time on the scene, minimizing the danger of being exposed on a highway to collect data after a traffic accident. Parking is fast and simple, making data capture not only more efficient, but also extremely accurate. Even point cloud viewing and verification is done on site. Once you are out of the scene of the accident and out of danger, in your office you can continue with the investigation and reconstruction of any type of traffic accident or crime scene, reaching its conclusion and being able to make the necessary decisions to avoid that Tragic events occur, in turn preventing thousands of deaths and serious injuries that will destroy the lives of millions of people around the world.
Lexical strata and phonotactic perplexity minimization

We present a model of gradient phonotactics that is shown to reduce overall phoneme uncertainty in a language when the phonotactic grammar is modularized in an unsupervised fashion to create more than one sub-grammar. Our model is a recurrent neural network language model (Elman 1990), which, when applied in two separate, randomly initialized modules to a corpus of Japanese words, learns lexical subdivisions that closely correlate with two of the main lexical strata for Japanese (Yamato and Sino-Japanese) proposed by Ito and Mester (1995). We find that the gradient phonotactics learned by the model, which are based on the entire prior context of a phoneme, reveal a continuum of gradient strata membership, similar to the gradient membership proposed by Hayes (2016) for the Native vs. Latinate stratification in English.
Incrementally Zero-Shot Detection by an Extreme Value Analyzer

Human beings not only have the ability to recognize novel unseen classes, but also can incrementally incorporate the new classes to existing knowledge preserved. However, zero-shot learning models assume that all seen classes should be known beforehand, while incremental learning models cannot recognize unseen classes. This paper introduces a novel and challenging task of Incrementally Zero-Shot Detection (IZSD), a practical strategy for both zero-shot learning and class-incremental learning in real-world object detection. An innovative end-to-end model -- IZSD-EVer was proposed to tackle this task that requires incrementally detecting new classes and detecting the classes that have never been seen. Specifically, we propose a novel extreme value analyzer to detect objects from old seen, new seen, and unseen classes, simultaneously. Additionally and technically, we propose two innovative losses, i.e., background-foreground mean squared error loss alleviating the extreme imbalance of the background and foreground of images, and projection distance loss aligning the visual space and semantic spaces of old seen classes. Experiments demonstrate the efficacy of our model in detecting objects from both the seen and unseen classes, outperforming the alternative models on Pascal VOC and MSCOCO datasets.
Optimizing Coherent Integrated Photonic Neural Networks under Random Uncertainties.

We propose an optimization method to improve power efficiency and robustness in silicon-photonic-based coherent integrated photonic neural networks. Our method reduces the network power consumption by 15.3% and the accuracy loss under uncertainties by 16.1%.
Automation of parts segmentation in 2D character animation production

A process of 2-dimensional (2D) character animation is to segment an illustration into parts such as a face outline or hair. This is a simple and time-consuming process, which involves cutting out the parts to be animated from an illustration. In this study, we focus on automation of the segmentation of the parts of a 2D character animation. Moreover, to improve the accuracy of the process, we combine U-net and pix2pix. Based on the accuracy evaluation, we confirmed that the accuracy of the F-measure of the proposed method is 81.1%, which outperformed U-net and pix2pix by 15.5% and 0.9%, respectively.
The Effect of Collaborative Learning Using a Flipped Learning Model for College Students: Focusing on TOEIC Grammar Learning

The present study aimed to examine the effects of flipped leaning focusing on TOEIC grammar learning for college students majoring in computer engineering at a local university. A total of fifty seven students participated in this study. 30 students were assigned to a flipped learning group (FLG) while 27 students to a semi-flipped learning group (semi-FLG). Both groups were provided with flipped learning preview videos focusing on TOEIC grammar lessons before class, but the FLG had collaborative activities in class while the semi-FLG received the teacher’s lectures without collaborative activities. The results showed that the FLG not only outperformed the semi-FLG on the posttest but also had a higher degree of class satisfaction, indicating the effectiveness of students’ collaborative activities for studying grammar. In addition, students displayed positive perceptions toward collaborative learning and showed increased memorization of grammar contents compared to the group with the in-class lecture group.
Evaluasi Kesuksesan Implementasi SLA Pada Mobile PLIK Bangka Belitung

Information technology that is currently developing does not only apply to the world of information technology but has developed into other fields of work that require information technology to support the needs of their field. Services in information technology have been implemented by the District Internet Service Center (PLIK) Bangka Belitung to support government programs. Research conducted at PLIK aims to see and assess how PLIK's performance, especially Mobile PLIK, to the service level of their partners' satisfaction. During the PLIK research, researchers wanted to measure their level of service. The level of service that is measured is by looking at the implementation of the SLA (Service Level Agreement) that they have contracted with the user to what extent. So, the researchers took the data by observation, interviews, and questionnaires. After all, data is needed, the COBIT 4.0 Framework becomes a reference for researchers to examine this service level with the Delivery and Support (DS) domain on each item. The conclusion from the whole research process is that Mobile PLIK has measured their service maturity level (Maturity Level) at layer 4, namely Managed and Measurable. However, there are several districts that are still at layer 3, namely Define. Define that they have targeted and planned every measure of their work steps and of course they can improve the services provided to partners and be reciprocal to partner satisfaction with PLIK. Unlike the case with Define, layer 4 is Managed and Measurable, which means that Mobile PLIK has been organized and can be measured in conducting every agreement between partners and PLIK, so that its implementation can be accounted for every item in the domain.
Η παράμετρος της επιχειρηματολογίας κατά την παραγωγή λόγου στο μάθημα της Νεοελληνικής Γλώσσας: μια δοκιμή «γείωσης» του μοντέλου του Toulmin στην ελληνική πραγματικότητα

This paper aims at exploring the way argumentative writing at secondary school level inGreeceis evaluated and assessed by teachers- raters. For this purpose, Toulmin’s argumentation model is adjusted to assignments given to the Greek students and implemented to analyze verbal protocols produced by raters.
Performance improvement for tracking control in multi copters against flow-induced disturbances with the RBode plot

In this paper, we propose a design method that enable us to improve the tracking error caused by flow-induced disturbance of a control system in multi copters. To solve the above-mentioned problem, we use the Robust Bode (RBode) plot for a feedback controller design in a control system of the multi copters. The RBode plot represents the robust performance criterion as allowable and forbidden regions on the open loop or the controller Bode plots. Using the RBode plot, control engineers can easily design controllers that suppress disturbances and account for perturbations of the controlled object with frequency response data alone. In the propose method, we also use a wavelet transformation in order to obtain a time frequency analysis of the tracking error caused by flow-induced disturbance. Experimental results show that the proposed method enable us to improve tracking error caused by flow-induced disturbance of the multi copters.
A weight-wise watermarking technique for DNN models and its robustness against overwriting attack

With the increasing accuracy of Deep Neural Network (DNN) models, a high-performance DNN model becomes more and more expensive to train. Moreover, like common multimedia resources, DNN models will be distributed or shared over the Internet. For these reasons, a high-performance model can be considered as an Intellectual Property (IP). However, because of the nature of deep learning, conventional watermarks for DNN models are usually vulnerable to attack. To protect the authentication of these DNN models, we proposed a watermarking technique that performs satisfactorily in terms of security, robustness, and embedding capacity without impairing the accuracy of the host DNN model. However, it has not been compared with other techniques in terms of robustness against overwriting attack. To this end, we extend our previous work5 by conducting more comparison experiments to evaluate the performance of our method.
The Metaphorical Assertion of Minangkabau Cultural Leaders’ Speeches

This study aimed to explain the assertive illocutionary speech of Minangkabau cultural leaders in the context of a monologue speech termed Pitaruah Ayah, containing cultural values wrapped in metaphorical speech. This research refers to Searle’s speech act theory and descriptive qualitative research methods were used. Data were collected from the records of all of the speeches of Minangkabau cultural leaders in the context of Pitaruah Ayah, through transcription and in-depth interviews. Data were analyzed using the agitated and equivalent method offered by Sudaryanto for reviewing qualitative language research. To measure the validity of the assertive speech types, the conditions of Felicity by Searle in proving the truth of a speaker’s proposition were used. The results of the analysis showed that assertive speeches in Pitaruah Ayah monologue are assertive with informative types, complaints, warnings, advice / suggestions and claims. Each speaker’s speech has a specific purpose with a message hidden in metaphorical speech. The speaker uses the delivery strategy in an indirect form to strengthen their linguistic power as a leader in the community.&#x0D; Keywords: Assertive speech acts, Metaphorical, Cultural Leaders
Stories about Searching

Chapter 13 uses a storyboard to illustrate a range of visual storytelling techniques as they are applied to a short story about a search. The storytelling is suspenseful and cinematic. In many stories a character searches for something or someone, and the techniques that are illustrated here are applicable to a wide variety of stories that could involve any type of search. It is designed to show how effective blocking can dramatize the action. It also demonstrates the application of film grammar to achieve continuity editing. This sequence makes use of objective and subjective coverage, reaction shots, entrances and exits, continuity of screen motion, shot contrast, transitions, and cutting points.
Exathlon: A Benchmark for Explainable Anomaly Detection over Time Series

Access to high-quality data repositories and benchmarks have been instrumental in advancing the state of the art in many experimental research domains. While advanced analytics tasks over time series data have been gaining lots of attention, lack of such community resources severely limits scientific progress. In this paper, we present Exathlon, the first comprehensive public benchmark for explainable anomaly detection over high-dimensional time series data. Exathlon has been systematically constructed based on real data traces from repeated executions of large-scale stream processing jobs on an Apache Spark cluster. Some of these executions were intentionally disturbed by introducing instances of six different types of anomalous events (e.g., misbehaving inputs, resource contention, process failures). For each of the anomaly instances, ground truth labels for the root cause interval as well as those for the extended effect interval are provided, supporting the development and evaluation of a wide range of anomaly detection (AD) and explanation discovery (ED) tasks. We demonstrate the practical utility of Exathlon's dataset, evaluation methodology, and end-to-end data science pipeline design through an experimental study with three state-of-the-art AD and ED techniques.
What Are You Reading?

Chapter 2 begins by considering the different genres of text, particularly narrative (typically fiction) versus informational. It goes on to compare trade sales for print, eBooks, and audio with what’s happening in education, where cost is a major driver towards adoption of commercial digital materials, along with open educational resources (OERs). We also introduce issues around testing and the ways readers move through digital text by paging or scrolling. The chapter then raises the critical question of how much our success in reading on a particular platform (print, screen, or audio) is shaped by the technology itself and how much by the mindset we bring to using it. The issue of technology versus mindset is explored in depth in later chapters.
Google Translate: Friend or Foe?

For the amateur foreign language user, Google Translate can be a godsend. But what impact is it having on language learning and teaching, and what does the future hold? Whether you have dabbled in Google Translate for your own purposes, are trying to learn a language, have a child learning a language at school or are a language teacher yourself, this session is for you!
Human Detection Using RGBD Images and Parallel Regional Convolutional Networks

Individuals detection is one of the most sizzling examination points in the domain of PC vision. Albeit deep learning methods, for example, Faster RCNN and SSD have achieved extraordinary accomplishment in individuals detection task utilizing RGB pictures in later a long time, they despise everything experiences the ill effects of the perplexing condition with low enlightenment, complicated background, impediment, and so on. With the development of compact and great depth sensors, for example, Kinect and Xtion, depth data which are invariant to enlightenment and influential to impediment can be acquired effectively now. In this paper, a deep learning method named Parallel RCNN is proposed for individuals detection task utilizing RGB-D data based on Faster RCNN structure. The principle idea of Parallel RCNN is that it takes crude shading picture and encoded depth picture as the contributions of an end-to-end deep neural network at the same time and then concentrates their deep highlights in equal. Through L2 standardization, the highlight maps extracted from every modal data are combined and employed in the following individual's detection task under the structure of Faster RCNN. To assess the execution of Parallel RCNN, a dataset thoroughly including 2647 RGB-D pictures and 5372 people with hand-labelled comments are created utilizing Kinect v2 sensors. Trial results based on this dataset show that the proposed method can accomplish mean average precision(mAP) of 91.5%, which is 1.5% higher than that of Faster RCNN utilizing RGB pictures.
Capturing lessons learnt

Simple system to capture lessons learnt, meant for sharing of key points during the commissioning process.
Eksperymentalne wykorzystanie wybranych algorytmów steganograficznych oraz kryptograficznych – stanowisko laboratoryjne

The main task discussed in this publication was to prepare a laboratory stand to investigate the confidentiality of information processed. The first part of the article presents a comparison of the possibilities of two open license programs - encryption tools that implement encryption with the use of AES block cipher. The second part describes the operation of two programs created in C++ for the needs of the laboratory workstation. The first one performs classic, changeable encryption, the second one uses XOR operation for encryption.
ELECTRONIC LEARNING MODULES FOR MEASURING WORKING ENVIRONMENT FACTORS

The Ministry of Education of the Slovak Republic, through the Cultural and Educational Grant Agency (CEGA), supports research and educational activities at universities. The Department of Technology and Information Technologies of the Faculty of Education, University of Constantine the Philosopher in Nitra, received a grant from this agency for the project Electronic educational modules for measuring factors of the working environment. The department prepares future safety technicians within the bachelor's study Safety and health protection at work, who should know the legislative framework for determining the factors of the working environment (microclimatic values, CO and CO2 content, etc.), measuring instruments and the correct methodology for measuring the variables. The specific measurement methodology is precisely defined in the relevant technical standards or decrees of the ministry. For this reason, the goals of the project are to create electronic educational modules that will allow students to prepare for the measurement of environmental factors and then measure these factors, in accordance with the methodology and relevant technical standards. Electronic educational modules are included in e-learning courses and are used in the subjects Measurement and measuring instruments and Basics of metrology. The aim of the paper is to present the results of measurements of selected factors of the work environment, which were measured by students in school facilities. The results are processed through descriptive statistics and graphs and evaluated from the point of view of valid legislation in Slovakia.